Sandboxaq

ABOUT SANDBOXAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. THE OPPORTUNITY SandboxAQ's AQNav (Quantum Navigation) team builds global, GPS-independent, navigation solutions from military and commercial aircraft to autonomous submersible platforms. We are the bridge between cutting-edge quantum sensing research and real-world operations, working directly alongside the defense customers and platform integrators at the highest levels to prove that magnetic navigation works where it matters most. The AQNav team is looking for a Senior Forward Deployed Engineer to join our team. This role is central to our efforts to own the technical reality of how AQNav performs in the field and to serve as the primary bridge between operational users and our product, engineering, and research teams. This role goes well beyond pre-sales support or basic integration. This person will: - Deploy and validate AQNav on operational platforms, analyzing and translating complex multi-sensor data captured by you in real-world test environments into narratives that prove our performance to expert stakeholders at the most senior levels in the DOD based on tooling and visualizations you crafted - Drive success in-situ, by using their hands-on software and hardware skills to ensure success in critical test events and demonstrations - Set the tone for how we communicate with our most important customers, serving as the primary technical partner in business development efforts, presentations, and conferences KEY RESPONSIBILITIES - Lead the technical side of strategic pursuits. Own the technical workstream for high-impact customer pilots and presentations. Design and run experiments that compare AQNav against legacy and alt-PNT solutions. Deliver clear, quantitative customer analyses. - Build and own field analysis tooling. Develop and maintain Python-based pipelines to ingest, clean, and analyze heterogeneous sensor and navigation logs (including binary formats). Extend internal simulation and replay tools to match real mission profiles. Create repeatable visualization and reporting templates that turn raw data into decisions. - Translate performance data into stakeholder narratives. Convert logs, bias drifts, error growth, and RMSE metrics into concise, accurate stories for operators, engineers, and senior executives. Contribute materially to technical content for customer briefings, program reviews, and business development presentations. - Bridge operations and R&D. Turn field observations into well-structured, testable requirements. Partner with product, research, and engineering teams to prioritize issues, design follow-on experiments, and push for clarity around performance metrics, success criteria, and tradeoffs so that teams are aligned on what "right looks like." - Lead field integration and represent AQNav externally. Guide integration of AQNav with mission computers, flight controllers, and onboard sensors, working closely with platform integrators and OEMs. Travel for on-site tests, integrations, customer meetings

ABOUT SANDBOXAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. THE OPPORTUNITY Introduction to the team: The Batteries vertical sits at the intersection of ChemSim and AI Sim, where SandboxAQ uses physics-based simulation, proprietary datasets, and Large Quantitative Models (LQMs) to discover and optimize next-generation battery materials. Our goal is to compress slow, empirical battery R&D into an AI-driven workflow spanning prediction, simulation, and materials discovery for high-impact applications including solid-state batteries, Cobalt-free cathodes, beyond Li-ion cell chemistries, and resilient energy storage systems. Introduction to the role: We are seeking a highly skilled Senior Research Scientist in Battery Materials Simulation to join our growing team. The ideal candidate will have deep expertise in applying advanced simulation techniques, including Density Functional Theory (DFT), Molecular Dynamics (MD), and machine learning (ML), to battery materials discovery and optimization. This role will focus on developing computational workflows and AI-driven approaches to accelerate the design of next-generation battery materials, including cathodes, anodes, electrolytes, interfaces, and interphases. Experience modeling surface chemistry, interfacial degradation mechanisms, and electrochemical reaction pathways is highly desirable. As a senior member of the team, the candidate will provide technical leadership, mentor junior scientists, and drive the execution of strategic research programs in collaboration with internal and external partners. See how SandboxAQ is helping build America's semiconductor supply chain from the materials up https://www.sandboxaq.com/post/sandboxaq-helping-build-americas-semiconductor-supply-chain KEY RESPONSIBILITIES - Conduct advanced simulations using DFT, MD, enhanced sampling methods, and ML-based approaches for battery materials and electrochemical systems. - Model surface reactions, interfacial degradation mechanisms, and electrochemical processes, including cathode-electrolyte interfaces (CEI), solid-electrolyte interphases (SEI), solid-state electrolyte interfaces, and reaction pathways under operating conditions. - Develop and deploy computational workflows for high-throughput materials screening, reaction modeling, and materials optimization. - Lead high-fidelity data generation campaigns and develop ML force fields and surrogate models for battery materials and interfaces. - Employ data-driven approaches to analyze large computational and experimental datasets to uncover new insights into materials behavior. - Guide project scoping, execution, and delivery while working closely with cross-functional teams. - Provide technical direction for battery research roadmaps, translate high-level project goals into technical milestones, and mentor junior scientists in best practices for both ML and physics-based modeling. - Collaborate with internal teams, academic collaborators, government partners, and industrial customers to deliver impactful materials innov

ABOUT SANDBOXAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. THE OPPORTUNITY Introduction to the team: The Batteries vertical sits at the intersection of ChemSim and AI Simulation, where SandboxAQ uses physics-based simulation, proprietary datasets, and Large Quantitative Models (LQMs) to discover and optimize next-generation battery materials. Our goal is to compress slow, empirical battery R&D into an AI-driven workflow spanning prediction, simulation, and materials discovery for high-impact applications including solid-state batteries, Cobalt-free cathodes, beyond Li-ion cell chemistries, and resilient energy storage systems. Introduction to the role: We are seeking a highly skilled Research Scientist in Materials Simulation to join our dynamic team. The ideal candidate will have a strong background in applying advanced simulation techniques, particularly Density Functional Theory (DFT) and Molecular Dynamics (MD), to battery materials. Additionally, expertise in building, fine-tuning or optimizing AI models for chemistry and material discovery. See how SandboxAQ is helping build America's semiconductor supply chain from the materials up. https://www.sandboxaq.com/post/sandboxaq-helping-build-americas-semiconductor-supply-chain KEY RESPONSIBILITIES - Conduct advanced simulations using DFT and MD for solid-state materials, with a focus on predicting properties for solid-state electrolytes and interfacial degradation reactions. - Employ data-driven approaches to analyze large datasets derived from computational simulations and experiments to uncover new insights into materials behavior. - Conduct high-fidelity data generation campaigns and develop ML force fields for solid-state materials. - Guide and scope projects with clear deliverables alongside agile teams. - Collaborate closely with multi-disciplinary teams to independently prototype and scale cutting-edge, impactful materials design solutions. - Generate and evaluate hypotheses to assist design decisions and influence project direction by developing and deploying computational methods and workflows. - Effectively present and communicate research findings through scientific talks, blog posts, client-oriented presentations, and peer-reviewed publications. ESSENTIAL SKILLS & EXPERIENCE - Ph.D. in Materials Science, Chemical Engineering, Chemistry, Computer Science, or a related field is preferred. - 3+ years of hands-on experience in modeling complex solid-state battery materials, such as cathodes, anodes, solid-state electrolytes, and/or interfacial reactions at non-equilibrium states is highly desirable. - Proficiency in common DFT and MD simulation software (e.g., VASP, Quantum ESPRESSO, LAMMPS, ASE). - Experience with developing or using AI models for chemistry and material discovery using popular deep learning frameworks on CPUs and GPUs. - Proven ability to benchmark and compare domain specific AI models for materials discovery. HIGHLY DESIRED SKILLS & EXPERIENCE - Contributions to open-source projects related to MLIPs. - Authorship

ABOUT SANDBOXAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. THE OPPORTUNITY SandboxAQ's AI Simulation group partners with global research teams to discover new drugs and materials using AI and physics-based computational solutions. Our team's unique approach enables cross-pollination across diverse fields, from physics, computer science, neuroscience, mathematics, and natural sciences, yielding breakthrough AI + Quantum solutions. The AI Simulation team is looking for a Product Research Scientist to join our team. This role is central to our efforts to drive the translation of internal drug discovery research software, specifically from our ML and Computational Chemistry teams, into external-facing, production-ready product offerings. This person will partner directly with researchers to understand scientific code and translate it into robust, scalable products served across multiple platforms, operate as the research and scientific liaison within a dedicated "pod" structure collaborating with software engineers, computational chemists, AI experts, and product stakeholders, and drive the product lifecycle from scientific inception to external deployment. KEY RESPONSIBILITIES - Partner with ML and Computational Chemistry researchers to translate internal scientific code and prototypes into robust, production-ready software systems for external product offerings. - Implement and integrate core scientific algorithms (ML, deep learning, physics-based simulation) into scalable product platforms. - Collaborate within a multi-disciplinary "pod" of engineers, computational chemists, AI experts, and product managers to define requirements, architecture, and deployment strategies for new features. - Ensure the scientific integrity and accuracy of research models (e.g., active learning, FEP, etc.) when deployed in production. - Drive the product lifecycle from scientific inception to external deployment, ensuring technical excellence and market fit. ESSENTIAL SKILLS & EXPERIENCE - PhD in chemistry, biology, or a related discipline. - 3-5 years of relevant experience in a product-focused engineering or applied science role, specifically translating ML or computational chemistry research into production software in the private sector (biotech/pharma preferred). - Experience deploying and maintaining machine learning models for scientific applications (e.g., molecular property prediction, multi-objective optimization). - Proficiency with Python toolkits for scientific computing (e.g., NumPy, Pandas, SciPy) and machine learning (e.g., scikit-learn, PyTorch). - Strong communication skills and a drive to collaborate with colleagues to identify problems and communicate technical solutions in an accessible manner. HIGHLY DESIRED SKILLS & EXPERIENCE - Familiarity with production deployment environments and principles (e.g., cloud platforms, CI/CD, containerization) and high-performance computing (GPU) environments. - An interest in solving scientific problems in chemistry and biology via computational and data-d

ABOUT SANDBOXAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. THE OPPORTUNITY AQMed is developing a next-generation, non-invasive cardiac diagnostic platform designed to revolutionize how heart health is assessed. The team operates at the intersection of regulated medical device development and fast-paced startup innovation, with a strong emphasis on quality, scientific rigor, and patient safety. We are seeking a Manager of Clinical Research who will own and accelerate AQMed's clinical program. You will inherit a meaningful foundation — established processes and early clinical work already underway — and take it to the next level. You will drive execution of a multi-geography clinical program from feasibility to pivotal studies, working alongside external support (e.g. consultants, CRO) while serving as the internal authority and integrating point for all things clinical. We are looking for a resourceful, deeply experienced clinical operator who thrives in ambiguity and moves with urgency. You bring proven multi-center trial leadership, global site management experience, and the judgment to make smart and data-driven decisions. You are equally comfortable in a site coordinator meeting, an FDA pre-submission discussion, or a cross-functional planning sprint — and you do whatever it takes to keep the program moving. Notably, you are AI-forward: curious about how AI tools can accelerate clinical research workflows, and eager to apply them to improve speed, quality, and efficiency across the program. KEY RESPONSIBILITIES Clinical Program Leadership - Own end-to-end execution of AQMed's clinical study portfolio, from feasibility through pivotal and across the US, Europe, and Asia. - Develop and maintain clinical study plans, protocols, budgets, agreements, timelines; proactively identify and resolve threats to enrollment, data quality, and regulatory timelines. - Lead site identification, qualification, initiation, monitoring, and close-out across multi-center, multi-geography studies. - Serve as the primary operational owner of all IRB/ Ethics Committee submissions, amendments, and ongoing reporting requirements. - Select, onboard, and manage external clinical consultants and/or CRO partners; hold them to high standards of quality, speed, and accountability. - Define clear scopes of work, success metrics, and escalation paths for all external clinical resources. Site & Investigator Management - Build and sustain trusted relationships with clinical investigators, coordinators, and hospital administration at each study site. - Drive enrollment with creativity and urgency; designing site-specific strategies, troubleshooting bottlenecks, and escalating risks early. - Conduct or coordinate site visits (in-person and remote) and ensure protocol adherence, data integrity, and GCP compliance at all sites. Cross-Functional Partnership - Collaborate with Product, Data Science, and Engineering to ensure study designs generate data that is both clinically meaningful, actionable and useful. - Partner with regul

ABOUT SANDBOXAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. THE OPPORTUNITY AQMed is developing a next-generation, non-invasive cardiac diagnostic platform designed to revolutionize how heart health is assessed. The team operates at the intersection of regulated medical device development and fast-paced startup innovation, with a strong emphasis on quality, scientific rigor, and patient safety. We are seeking a Senior Staff Software Engineer to serve as the Technical Lead for our medical device software platform. In this role, you will own the software architecture that powers our device—from embedded Linux to the cloud. Your architectural decisions will keep the platform safe, maintainable, and extensible as our product evolves. You will be raising engineering standards and architecture quality, serving as the final technical authority for our regulated medical product. KEY RESPONSIBILITIES System Architecture & Technical Strategy - Own the Platform Architecture: Serve as the final technical authority for the end-to-end software stack, spanning embedded firmware, in-field Linux devices, cloud data pipelines (AWS/GCP), and the clinician-facing web application. - Product-Ready Foundation: Design clear and flexible interfaces such that our platform can evolve with our product roadmap without major refactors. - Data Path Integrity: Design and maintain a HIPAA-compliant, production-grade data platform that ensures data confidentiality, integrity, and availability from the sensor to the cloud. Execution & Quality Leadership - Hands-on Engineering: This is a player-coach role. You will write code, review complex PRs, debug hardware-software integration issues in the lab, and configure CI/CD pipelines. You lead by doing, setting the standard for code quality and testing. You know what “good” looks like. - Technical Mentorship: Mentor a growing team of senior and staff engineers, fostering a culture of technical excellence, rigorous review, and psychological safety. - Drive Quality & Compliance: Lead the engineering team’s adherence to applicable medical device standards (e.g. IEC 62304, ISO 14971) and regulations. You are the gatekeeper ensuring that design outputs (code) meet design inputs (requirements) and that our "move fast" culture never compromises patient safety and critical product functions. Scale strong engineering practices across the team, including design reviews, code review quality, test strategy and technical documentation Cross-Functional Collaboration - Cross-functional execution: Partner with Product, Clinical and Regulatory stakeholders to translate product requirements, clinical performance goals and regulatory inputs into concrete, actionable technical plans, engineering specifications and development timelines. Ensure that our software architecture, implementation and documentation support our clinical study needs and regulatory plans (e.g. 510(k) and De Novo). ESSENTIAL SKILLS & EXPERIENCE - 10+ years of software engineering experience, with at least 4 years serving as a Tec

ABOUT SANDBOXAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. THE OPPORTUNITY Our team is seeking a Software Engineer to contribute to the development of computational chemistry tools, and bridge the gap from R&D prototypes to stable, well-test, production-ready implementations. As we continue to expand our portfolio of capabilities – spanning physics-based simulations, large-scale data and knowledge graphs, machine learning, and massively parallel computing – we require reliable and efficient software to drive it. We are looking for an experienced engineer who can enhance our team’s work through the creation of clean software and collaboration with a team of computational chemists, physicists, AI experts, and software engineers. This should be founded in a good understanding of the technical challenges and scientific concepts in the drug discovery space, and deep experience building efficient and maintainable implementations of AI- and physics-based simulation software. KEY RESPONSIBILITIES: - Maintain and extend existing scientific software packages, and drive the full lifecycle of new ones: - Architect and implement cutting-edge scientific and ML software alongside subject matter experts - Adopt current practices and ensure stability through testing - Work closely with the Engineering Team to deploy these modules into the SandboxAQ’s simulation platform: - Manage dependencies, containerize, and integrate software into CI/CD pipelines - Integrate with the compute and data backends - Define API endpoints and schemas - Collaborate with the engineering team to build UI components - Maintain and support production deployments of scientific software packages - Foster a work culture of curiosity and kindness ESSENTIAL SKILLS & EXPERIENCES: - Bachelor's degree in a relevant scientific discipline (for example physics, chemistry, biology, or computer science) - At least 5 years professional experience in software development, designing and developing well-maintained software systems and collaborating with domain experts to design solutions that meet their needs - Strong Python proficiency including experience with numeric and performance libraries like Numpy - Experience with ML libraries like PyTorch - Experience with relevant development tools and environments (git, Unix/Linux, cloud-based platforms, containerization) - Experience using LLM tools and coding harnessed to build quickly while producing understandable, secure, maintainable code that’s a strong foundation for long-term development. - Ability to rapidly write good quality code while not letting the perfect become the enemy of the good - Ability to devise, communicate internally and own technical roadmaps, in a self-directed environment - Desire to work in a fast-paced team with diverse professional experiences and viewpoints HIGHLY DESIRED SKILLS & EXPERIENCE: - Experience developing software for scientific applications - Familiarity with open source scientific and molecular libraries such as OpenMM, RDKit, Scikit-learn - Experience with

ABOUT SANDBOXAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. THE OPPORTUNITY SandboxAQ's AI Generation Engine (SAIGE) team is seeking a highly accomplished Machine Learning Engineer to take ownership of the end-to-end ML lifecycle, from initial data exploration and model development to scalable production deployment. This role is central to designing and rapidly building AI-first products that incorporate Large Quantitative Models (LQMs) and sophisticated agentic frameworks. We are looking for a hands-on engineer who is passionate about owning the entire lifecycle of model development. This requires significant industry experience in bringing machine learning models from conception and experimentation to production and deployment in a robust, scalable manner, including (but not limited to): Data Acquisition and Curation, Infrastructure, Pre-Training, Evaluations, and Fine-Tuning. This person will be one of the founding engineers to join the SAIGE team and will be the bridge between cutting-edge AI concepts and functional, real-world MVPs. As a Machine Learning Engineer on the SAIGE team, your primary goal will be to rapidly iterate on different potential solutions to build and evaluate new models, focusing on speed and tangible outcomes. You'll be part of a diverse team consisting of software engineers, ML experts, products managers and user experience researchers, where they will play a key role in efficient and effective enablement of the cutting-edge technologies being developed at SandboxAQ. KEY RESPONSIBILITIES - Design, construct, and manage robust data pipelines for the training, validation, and continuous retraining of Large Quantitative Models (LQMs) and agentic frameworks. - Develop, implement, and rigorously test novel ML models and algorithms, defining appropriate metrics to ensure model performance aligns with high-level product objectives. - Contribute to the efforts in cleaning, transforming, and engineering features from complex and large-scale datasets to optimize LQM performance and predictive accuracy. - Conduct deep analysis of model behavior, performance, and failure modes, tuning hyper-parameters and optimizing model architecture for efficiency, speed, and accuracy in a production context. - Collaborate closely with AI researchers, product managers, and SWEs to translate high-level business objectives into actionable ML development and deployment roadmaps. - Champion and enforce exceptional engineering standards for code quality, system efficiency, and security in a prototyping environment. ESSENTIAL SKILLS & EXPERIENCE - BS in Software Engineering, Computer Science, or equivalent field of study - 5+ years of postgraduate experience in software development - Experience developing highly-available, performant, scalable ML systems, including large-scale data processing pipelines. - Strong expertise in Python (including the ML stack: PyTorch, TensorFlow, JAX, NumPy, Pandas) - Long, successful history of driving the full ML lifecycle: from initial data exploration and hypothe

ABOUT SANDBOXAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. THE OPPORTUNITY The AI Sim R&D team creates leading edge ML and physics-based models ("LQMs") to advance drug and materials discovery. We are a flexible, creative, and impact driven team of multidisciplinary scientists and engineers, whose products dramatically accelerate the creation of molecules and medicines. As a Research Scientist focusing on Co-Folding & Affinity, you will contribute to building SandboxAQ's next generation of structure prediction and binding affinity models. Working alongside a high-performing team of scientists and engineers, you will help advance the state-of-the-art in protein-ligand co-folding, translating cutting-edge research into scalable workflows that power our drug discovery software. This is an opportunity to do frontier science with real-world impact — developing models that redefine what's possible in computational drug discovery. KEY RESPONSIBILITIES - Develop and Iterate on Co-Folding Models: Implement, experiment with, and refine deep learning models for protein-ligand co-folding and structure prediction, building on the latest research from the field. - Drive Rigorous Benchmarking: Design and execute systematic evaluation pipelines to measure model performance against state-of-the-art methods and internal benchmarks. - Contribute to Research-to-Product Pipelines: Collaborate with senior scientists and engineers to integrate validated models into production-ready drug discovery workflows. - Apply Data-Driven Methods: Employ computational and data analysis techniques to generate insights from structural and sequence datasets, informing model development decisions. - Communicate Findings: Present research progress through internal scientific talks, technical write-ups, and contributions to peer-reviewed publications. - Collaborate Across Teams: Work closely with multidisciplinary teams — including ML engineers, structural biologists, and software engineers — to prototype and scale impactful solutions. ESSENTIAL SKILLS & EXPERIENCE - Domain Foundation: Ph.D. in Computational Biology, Biophysics, Computer Science, Computational Chemistry, or a related field, with a research focus on protein structure prediction, co-folding, or closely related areas. - Hands-On Co-Folding Experience: Direct experience with protein structure prediction or protein-ligand co-folding methods (e.g., AlphaFold2/3, RoseTTAFold, Chai-1, Boltz, or comparable systems), developed through graduate or postdoctoral research. - ML Model Development: Experience developing, training, and validating deep learning models, including familiarity with architectures relevant to structural biology (e.g., transformers, equivariant neural networks, diffusion models). - Programming Proficiency: Strong proficiency in Python and modern ML frameworks (PyTorch and/or JAX). - Scientific Rigor: Demonstrated ability to design controlled experiments, interpret results critically, and iterate effectively on model development. - Communication and Collab

ABOUT SANDBOXAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. ABOUT THE TEAM The SandboxAQ AI Generation Engine (SAIGE) team’s mission is to accelerate SandboxAQ’s mission of “Deep Impact at Scale” with a focus on quantitative AI and rapid innovation. More specifically, the SAIGE team aims to: - Build next-generation AI capabilities that establish SandboxAQ as the global pacesetter in quantitative AI. - Identify, incubate, prototype, and launch new AI products for high-potential and longer-term use cases, proving (or disproving) their viability as high-impact, highly profitable business lines. The SAIGE team operates on the following principles: Prototype with Velocity, Explore Boldly, Fail Smart, Learn Fast, Look Forward, and Share Knowledge. Our top priority use case for 2026 is leveraging AI and LQMs to solve some of the most impactful problems in the Finance and Insurance industries. THE OPPORTUNITY As the Director of Product Management for the AI Generation Engine (SAIGE), you will be the PM lead for the team and a key partner to engineering, research, and user research. You will: - Own the product strategy and execution for our efforts in Finance & Risk Modeling, partnering closely with financial services and insurance customers to understand their workflows, risk models, and decision-making processes. - Lead rapid prototyping and innovation across a broad range of new ideas and domains, driving 0→1 product discovery, experimentation, and incubation of high-potential use cases. - Operate in a highly ambiguous, fast-changing environment, providing clarity on priorities, making pragmatic trade-offs, and ensuring we ship impactful prototypes and products. This role is ideal for a seasoned product leader who is energized by uncertainty, enjoys working across disciplines (UXR, engineering, research, business), and is excited to build new AI and quantitative products from the ground up. KEY RESPONSIBILITIES LEAD PRODUCT STRATEGY IN FINANCE & RISK MODELING - Own the product vision, roadmap, and execution for our Finance/Risk portfolio, with a focus on financial services and insurance (e.g., portfolio risk, capital modeling, risk analytics, underwriting, and related workflows). - Develop a deep understanding of customer contexts, including current tools, models, and data flows (e.g., portfolio / risk modeling systems, vendor platforms, internal analytics stacks). - Partner with quantitative researchers, ML engineers, and domain experts to translate customer problems into clear product requirements and model/data needs. - Define success metrics and validation strategies to compare our approaches against existing PML/ERM and portfolio views, and to demonstrate differentiated value. DRIVE RAPID PROTOTYPING AND 0→1 INNOVATION - Identify, evaluate, and prioritize new AI / LQM use cases across multiple domains (beyond Finance/Risk), from early signals to clearer opportunities. - Lead 0→1 product discovery: problem framing, hypothesis development, lightweight customer validation, and rapid iteration on

ABOUT SANDBOXAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. THE OPPORTUNITY We are seeking a VP of Operations to serve as the operational architect for our AI Simulation business unit at SandboxAQ. This is a role for a Builder-Operator to drive rigorous processes and deliver transformative impact by scaling operational infrastructure, developing innovative capacity planning, and navigating complex data-oriented processes all through high EQ influential team leadership. In this role, you will be the operational engine propelling two of our most ambitious divisions centralized under AI Simulation: BioSim (Drug Discovery) and ChemSim (Materials Science). This is a role for a specialist in scaled execution. The ideal candidate is deeply tactical and data-oriented and possesses the high EQ necessary to navigate complex people dynamics. When you aren't developing dashboards to unblock the team, you are performing root-cause analysis on why a process or a team is getting stuck, and using influence to guide change, and ensure both units are positioned for global scale. You will build and spearhead a division that is defining the future of AI-driven science. You will have the purview of a COO with the backing of a world-class organization, focused on solving the world's hardest problems in chemistry and biology. KEY RESPONSIBILITIES Strategic Business Architect: Provide operational support and leadership to BioSim and ChemSim divisions, running day-to-day business operations including identifying synergies in resource allocation and operationalizing scaling systems. As a key leader on a growing team your impact will come from your ability to influence and partner with Engineering, Science, and GTM. Rigorous Resourcing & Capacity Management: Lead the transition from high-growth experimentation to scaled operations by optimizing talent density and capacity across PhDs, SWEs, and GTM specialists. You will architect dynamic headcount models that align hiring with technical milestones and vertical-specific revenue triggers while being accountable for multi-million dollar compute budgets. You will introduce and manage telemetry around human resource capacity allocation across AI Simulation. Tactical Execution: Be responsible for hands-on and end to end execution, track velocity across complex milestones, and rapidly shift resources (financial and talent) as requirements arise and shift. You will establish standards for tracking milestones, manage tradeoffs in resource allocation, and communicate effectively across leadership. Interim Leadership & Chemical Simulation Oversight: Spearhead the Chemical Simulation business unit during its expansion. Your central mandate is to swiftly establish and operationalize high-priority verticals, including but not limited to Batteries, Catalysis Discovery, Semiconductor Substrates, Metal Alloys, and Magnets. You will define the playbook for how we resource and scale these initiatives and identify synergies in resource allocation, orchestration of compute requirements, an

ABOUT SANDBOXAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. THE OPPORTUNITY Introduction to the team: The Catalysis team develops and validates new catalyst technologies for complex industrial applications, with a focus on high-purity chemical production, emissions treatment, and advanced sensing. The team brings together computational modeling, machine learning, experimental validation, and cross-functional collaboration to accelerate how promising catalyst concepts move from discovery to real-world use. Introduction to the role: The Catalysis team is looking for a Staff Research Scientist, Catalyst Simulation to lead the translation of reaction energetics derived from atomistic simulations and machine learning potentials into process-scale predictions that advanced manufacturing facilities, OEMs, and chemical manufacturers can act on. This person will: (1) own the design and execution of microkinetic and reactor-level modeling workflows for industrially relevant catalytic chemistries, (2) connect atomistic simulation outputs to activity, selectivity, and catalyst lifetime predictions, (3) partner with industrial validation partners to test and refine these models against real-world data, and (4) mentor junior scientists and shape the technical roadmap for microkinetic capability within SandboxAQ. See how SandboxAQ is helping build America's semiconductor supply chain from the materials up https://www.sandboxaq.com/post/sandboxaq-helping-build-americas-semiconductor-supply-chain KEY RESPONSIBILITIES - Design, build, and own microkinetic and reactor-level modeling workflows that translate energetics derived from atomistic simulations and machine learning potentials into process-scale observables for complex catalytic and specialty chemical synthesis processes. - Lead application engagements with industrial partners (e.g., specialty chemical manufacturers, equipment providers, and process technology developers), translating partner problems into well-posed modeling targets and delivering credible, decision-ready results. - Partner closely with internal dataset, computational chemistry, and machine learning teams to specify the energetics, descriptors, and uncertainty estimates microkinetic workflows require, closing the loop between reaction-scale and process-scale modeling. - Validate models against experimental data from scientific and academic partners; drive iterative model refinement and uncertainty quantification. - Mentor junior research and computational scientists; contribute to publications, partner deliverables, and the technical roadmap for microkinetic modeling capabilities within SandboxAQ. ESSENTIAL SKILLS & EXPERIENCE - PhD in Chemical Engineering, Chemistry, Materials Science, or a related field, with deep specialization in microkinetic modeling, surface reaction engineering, or multi-scale catalysis simulation. - 6+ years of post-PhD experience (or equivalent) building and applying microkinetic models in an industrial or applied R&D context, including coupling atomistic energ

ABOUT SANDBOXAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. THE OPPORTUNITY SandboxAQ’s AI Simulation team develops novel drugs and materials by integrating AI and physics-based computational solutions. Our AQBioSim group seeks a computational chemist who will not only apply cutting-edge methodologies but also critically assess and refine computational approaches. This individual will challenge assumptions, ask "why" when interpreting results, and ensure the reliability and accuracy of findings rather than blindly trusting outputs. This UK-based role will drive innovation by combining quantum, AI, and physics-based methods—such as molecular dynamics and active learning free energy perturbation—to advance drug discovery. Working within a highly skilled and multidisciplinary team, including drug hunters with a strong track record in drug discovery, computational chemists, physicists, AI experts, and software engineers, you will play a key role in shaping the future of computational drug design. KEY RESPONSIBILITIES - Apply computational solutions to address unmet drug discovery challenges, questioning assumptions and rigorously validating results. - Work closely with the development team to enhance SandboxAQ’s unique technology and Large Quantitative Models (LQMs) for large-scale impact. - Apply SandboxAQ’s computational platform to provide high-value drug discovery solutions while critically evaluating its methodologies and results. - Translate insights from molecular dynamics, free energy perturbation, molecular docking, quantum, and ML methods into actionable, testable drug discovery hypotheses. - Collaborate closely with ML experts and cross-functional teams to prototype and scale innovative drug design solutions. - Develop and deploy computational methods and workflows to generate and evaluate hypotheses, guiding design decisions and influencing project direction. - Challenge conventional thinking by critically assessing and interpreting computational outputs, ensuring robust scientific conclusions. - Directly contribute to the discovery of innovative medicines by integrating computational chemistry techniques into multidisciplinary drug discovery teams. - Generate and evaluate hypotheses to assist design decisions and influence project direction by deploying and developing computational methods and workflows. ESSENTIAL SKILLS & EXPERIENCE - PhD in computational physics, computational chemistry, or a related discipline. - 3-5 years of relevant experience, including hands-on experience with computational chemistry applied to drug discovery in biotech, pharma, or related industries. - Excellent communication skills and record of fostering successful internal collaboration and effective external partnerships. - A deep commitment to critical thinking - comfortable questioning methodologies, challenging assumptions, and refining approaches to improve predictive accuracy. - A drive to cooperate with colleagues to identify problems and communicate technical solutions clearly and effectively. - A

ABOUT SANDBOXAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. THE OPPORTUNITY Introduction to the team: The Magnets team is one of several research verticals within SandboxAQ’s broader Chemical Simulation group, which uses advanced computational methods, physics-based simulation, and AI to discover and develop novel materials. This group is focused on solving critical materials challenges that matter to U.S. semiconductor manufacturing and industrial resilience. Within that larger effort, this group is focused on one of the most strategically important materials problems: developing high-performance permanent magnets that reduce or eliminate reliance on neodymium and other rare earth elements and can be produced in the United States. The goal is to create novel magnet formulations that can be manufactured using existing industry processes and equipment, while matching or exceeding the performance of today’s leading NdFeB magnets in demanding applications such as semiconductor equipment, vacuum systems, precision motion devices, and defense technologies. Introduction to the role: We are looking for a Chief Scientist to lead the scientific direction of the Magnets vertical. This person will define the research strategy and technical roadmap, build and lead a top-tier scientific team, and help shape how computational materials discovery, simulation, and AI are applied to accelerate magnet development. This leader will work at the intersection of domain science and platform innovation. You will help shape the magnetism-aware LQM and multi-scale modeling strategy in close partnership with our AI simulation platform teams, while also guiding dataset strategy, modeling priorities, and experimental validation to turn cutting-edge research into practical, manufacturable magnet technologies. You will also serve as a key external scientific representative for the program, working with national labs, manufacturing partners, defense organizations, and equipment companies. See how SandboxAQ is helping build America's semiconductor supply chain from the materials up. https://www.sandboxaq.com/post/sandboxaq-helping-build-americas-semiconductor-supply-chain KEY RESPONSIBILITIES - Own the scientific charter and technical roadmap for the Magnets vertical, including phase stability, magnetocrystalline anisotropy, finite-temperature coercivity, and microstructure engineering across Fe- and Co-based intermetallic systems with U.S.-accessible alloying elements. - IP Engine Management: Oversee the translation of generative design outputs into a robust IP portfolio, ensuring the team owns the most valuable "white space" in substrate chemistry and structural design. - Build, lead, and mentor a multidisciplinary team of research scientists, computational/ML scientists, and postdocs; set the scientific bar, run technical reviews, and develop talent toward NewCo readiness. - Specify and prioritize the magnetism-aware LQM, datageneration, and multi-scale modeling capabilities required from the AISim platform; serve as the

ABOUT SANDBOXAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. THE OPPORTUNITY We are seeking a Financial Planning & Analysis Manager to join the Finance team. In this role, you will drive core corporate finance processes and be a key partner to fast-growing business units and complex customer programs. This is an opportunity to help shape the next phase of the FP&A function at SandboxAQ, with broad scope and meaningful impact in a category-defining company. KEY RESPONSIBILITIES - Partner with Business Unit leaders, Operations, GTM, Accounting, and Legal to support decision making and translate strategic priorities, resource needs, customer commitments and program milestones into annual operational plans, detailed budgets, revenue commitments and financial forecasts. - Day-to-day execution of core FP&A processes, including rolling forecasts, budget vs. actual reporting, annual and long-range planning. - Lead program-level financial reporting across complex deep technology programs and customer engagements. - Build and maintain scalable financial models, dashboards, and reporting packages that provide visibility into revenue, operating expenses, margin, headcount, and program performance. - Strengthen FP&A processes, controls, and operating cadences in a high-growth environment, including forecast governance, reporting standards, and automation. ESSENTIAL SKILLS & EXPERIENCE - 5+ years of FP&A experience, with demonstrated ownership of annual planning cycles, budgeting, forecasting, variance analysis, management reporting, and cross-functional business partnering. - Advanced financial modeling and analytical skills, with high proficiency in Excel. - Strong program-finance toolkit, including program-level P&L, resource planning, cash forecasting, budget-vs-actual reporting, margin and ROI analysis. - Excellent communication and executive presentation skills, with the ability to synthesize complex financial and operational data into clear insights, tradeoffs, and recommendations. - Experience working with ERP and planning systems (e.g. NetSuite, Pigment, Power BI or comparable tools). HIGHLY DESIRED SKILLS & EXPERIENCE - Exposure to AI/ML, deep technology, aerospace & defense, public sector, or other technical sectors. - Experience managing multiple P&Ls and cost allocations across complex programs or multi-business organizations with rigorous budgeting, reporting, and oversight requirements. Familiarity with government contract structures and concepts is a plus. - Experience building scalable financial processes in a growth-stage company. - Background in strategic finance, investment banking, private equity or similar role that complements core FP&A experience. - Track record of high performance in demanding environments, with a bias for action, attention to detail and judgment to operate effectively during critical planning and reporting cycles. WHY JOIN US? We offer a comprehensive and competitive benefits package designed to support your health, financial well-being, and life outside of work. -

ABOUT SANDBOXAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. ABOUT THE ROLE Our Finance team is seeking an Assistant Controller, Government Accounting & Compliance to support the Controller and broader Accounting team during a period of rapid growth. This person will play a critical role in both the day-to-day accounting function and in building the infrastructure needed to support government cost accounting, cost reimbursement reporting, and government audit readiness. This role is intended for someone who can operate as a strong accounting leader while also rolling up their sleeves. In addition to core Assistant Controller responsibilities such as owning the month-end close process, this person will help design, implement, and monitor the controls, reporting, and compliance processes needed to support a more complex government-facing environment. The right candidate will be excited by the opportunity to build. They should be comfortable working in an environment where some processes exist, some need to be strengthened, and others need to be created from scratch. The candidate should have a working knowledge of cost accounting standards for government contracts and experience interfacing with government agency officials and auditors. This role will be highly cross-functional and visible, with regular interaction across Finance, Legal, Operations, Program teams, and external auditors / advisors. KEY RESPONSIBILITIES - Help manage the monthly, quarterly, and year-end close processes, ensuring timelines are met and issues are proactively identified and resolved. - Lead the build-out of accounting and reporting processes needed to support government-funded and cost-reimbursable work, including developing frameworks for project costing, indirect rate calculations, and identifying allowable vs. unallowable costs. - Develop processes to track, reconcile, and report costs in a manner that is supportable under government audit and reimbursement requirements including tracking and reviewing the accumulation of direct and indirect costs. - Help document and operationalize processes so controls are not only designed appropriately but also executed consistently. - Partner with internal and external stakeholders to prepare for financial audits, government audits, and any future Single Audit / Yellow Book-related requirements if applicable. - Partner with Finance leadership to assess process gaps and lead the development of documentation, policies, and operating procedures needed to remediate those gaps in advance of new government awards or reporting requirements. - Partner with program, operations, legal, and external advisors on government accounting considerations, reporting expectations, and implementation needs. - Drive process improvement and automation initiatives to improve scalability, control, and reporting quality. - Help ensure the finance organization can support a high-growth company with increasing complexity while maintaining a practical, business-oriented approach. WHAT YOU SHOULD HAVE - 8

ABOUT SANDBOXAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. THE OPPORTUNITY Introduction to the team: The AI Simulation (AISim) Business Unit is deploying our internal platform and Large Quantitative Models across critical semiconductor material verticals. The Operations function is the execution backbone of the BU, keeping a multi-vertical program on track across science, engineering, partnerships, and reporting. Introduction to the role: We are seeking a Technical Program Manager to serve as a cross-functional operational leader across a portfolio of technical programs. This is a unique opportunity to partner with highly-specialized and talented scientific and engineering teams within the semiconductor material development space. If you thrive managing complex programs with cross-org dependencies, real ambiguity instead of a defined spec, technical risk, competing senior stakeholders, and serious downside if deliverables slip, this is a great opportunity for you. In this role, you will establish the operating cadence across teams and functions, drive clear milestone and status communication, surface risks and dependencies early, and build the processes, tools, and playbooks that help the organization scale execution effectively. You will work closely with senior leaders across science, product, engineering, business development, and operations to keep priorities aligned and programs moving. See how SandboxAQ is helping build America's semiconductor supply chain from the materials up https://www.sandboxaq.com/post/sandboxaq-helping-build-americas-semiconductor-supply-chain KEY RESPONSIBILITIES - Run the cross-vertical operating cadence for Chemical Simulation, including weekly stand-ups, monthly business reviews, and quarterly reporting cycles, ensuring on-time, audit-ready delivery to government stakeholders. - Own the cross-vertical source of truth for milestones, dependencies, risks, and decisions across the several programmatic areas; surface variance early and drive corrective action with the GM and Vertical Leads. - Serve as the day-to-day operational interface to government counterparts, translating technical progress into compliance-grade narratives, deliverables, and quarterly updates. - Coordinate cross-functional execution across Vertical Leads, Platform Engineering, Product, BD, Recruiting, Finance, and Legal/Compliance to unblock teams and protect program timelines. - Design and operationalize the program management toolkit for Chemical Simulation, including dashboards, decision logs, resourcing models, and reporting templates that scale across verticals and survive leadership transitions. ESSENTIAL SKILLS & EXPERIENCE - 8+ years managing complex, multi-workstream technical programs in regulated, high-stakes environments (federal contracts, defense, large enterprise R&D, or similar). - Demonstrated experience operating against U.S. Government program requirements, including familiarity with milestone reporting, compliance documentation, and contracting cadence. - Strong technica

ABOUT SANDBOXAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. THE OPPORTUNITY SandboxAQ’s AI Simulation (AISim) division develops and applies Large Quantitative Models (LQMs) that are grounded in physics, chemistry, mathematics and biology to simulate molecular behavior with scientific precision and accelerate discovery in the physical world across biopharma, chemicals, advanced materials, healthcare, and so much more. The AISim division is looking for a seasoned Product Manager to join this team to accelerate productization of scientific innovations and drive product-led growth. A Product Manager at SandboxAQ defines and owns the delivery of technically complex product capabilities. This role involves (1) translating scientific user needs from researchers, clinicians, translational teams, medical affairs, and data scientists into clear product requirements with a commercial focus, and without oversimplifying the science, (2) driving cross-functional alignment and execution across Science, UX/Design, and Engineering teams, (3) proving commercial value by validating Product Market Fit (PMF) through design partners and lighthouse customers, and (5) partnering with Go-To-Market (GTM) teams to package, price, launch, and continuously improve the product for adoption and scale. KEY RESPONSIBILITIES - Own Product Strategy & Definition - Work backwards from customer needs (as opposed to working forward from a specific technology) and drive clear, compelling product vision and definition as articulated via PRFAQs, Product Requirement Docs (PRDs), Pricing and Naming artifacts.Partner with UX to jointly define key user flows and influence overall product design. - Rapid Concept Prototyping and Validation - Drive rapid, tangible experimentation by building and showing demos early and often, both internally and externally, to validate core hypotheses against real-world behavior and avoid misalignment - Plan the Work; Work the Plan - Own the 12-18 month strategic roadmap and its delivery with Engineering, R&D, and Design, manage the backlog for continuous improvement, and coordinate all product launch activities and collateral with Marketing and Legal - Establish Product Market Fit (PMF) - Prove and validate Product Market Fit (PMF) by partnering closely with design partners and lighthouse customers, working closely with them during definition and validation phases like PRFAQ authoring and running private betas - GTM scaling - Partner with Sales and Marketing to create collateral and training, inform revenue goals, monitor KPIs (like win rates), and review customer tickets to identify product insights and address defects ESSENTIAL SKILLS & EXPERIENCE - PhD in Computational Chemistry, Computational Biology or Biomedical Engineering - 5+ years of experience in a life sciences-focused software business across roles such as Technical Product Manager, Solutions Architect, Sales Engineer, or related technical customer-facing product roles. Candidates should have a track record of shaping software products, workin

ABOUT SANDBOXAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. THE OPPORTUNITY As a Staff Software Engineer within our AI Simulation group, you will act as the primary technical bridge between our core Large Quantitative Models (LQMs) and our most ambitious client contracts. This is a high-agency "builder" role designed for a resourceful generalist who thrives on autonomy and is passionate about tackling the hardest challenges in drug discovery and chemical simulation. You will be embedded directly with internal scientific delivery teams, operating at the frontiers of knowledge where fundamental research converges with practical, real-world impact. Your central purpose is to ensure the technical enablement and success of our most critical partnerships. You will be expected to independently discern complex bottlenecks, architect custom solutions, and orchestrate compute at scale. Whether you are wrapping scientific application logic, managing massive data transformations, or integrating with Agentic systems, you will own the entire lifecycle of your deployments. This role demands a "startup" mindset: the seniority to lead a project's technical vision and the humility to execute any task necessary to move the mission forward. KEY RESPONSIBILITIES - Orchestrate Technical Delivery: Partner with scientific teams to audit workflows, diagnose technical blockers, and take full accountability for the end-to-end technical execution of client contracts. - Architect and Develop Solutions: Design and deploy high-velocity code to extend existing tools, or build new frameworks for wrapping scientific logic and automating complex R&D workflows. - Drive Cross-Functional Collaboration: Serve as the technical translator between non-technical researchers and product teams, validating proposed solutions and ensuring they meet rigorous scientific requirements. - Scale and Optimize Infrastructure: Own the deployment and maintenance of cloud-based compute resources and data pipelines, ensuring stability and performance throughout the contract lifecycle. - Pioneer Technical Integration: Lead the integration of internal core technologies, such as LQMs and Agentic systems, into bespoke client environments to solve major scientific challenges. ESSENTIAL SKILLS & EXPERIENCE - 7+ years of professional software development experience, with deep proficiency in Python and modern architectural patterns. - Proven ability to operate independently in high-ambiguity environments, moving from ideation to functional code with high velocity. - Hands-on experience with cloud orchestration (Kubernetes, Batch systems) and workflow management tools like Airflow. - Technical expertise in building REST APIs, managing database systems (ORMs, schemas), and utilizing Infrastructure as Code (Terraform). - Entrepreneurial mindset with a track record of shipping systems in fast-moving, customer-facing environments. HIGHLY DESIRED SKILLS & EXPERIENCE - Domain expertise in drug discovery, cheminformatics, or advanced materials. - Experience deliveri

ABOUT SANDBOXAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. THE OPPORTUNITY The AI Sim R&D team creates leading edge ML and physics-based models ("LQMs") to advance drug and materials discovery. We are a flexible, creative, and impact driven team of multidisciplinary scientists and engineers, whose products dramatically accelerate the creation of molecules and medicines. As a Staff ML Research Scientist focusing on Co-Folding & Affinity, you will occupy a senior position architecting our ML biopharma capabilities. Your central purpose is to redefine the state-of-the-art in structure prediction and binding affinity, transforming these breakthroughs into core components of our software suite. Within your first year, you will: pioneer novel deep learning architectures that surpass current benchmarks, orchestrate the seamless integration of these models into production-ready drug discovery pipelines, and solidify SandboxAQ’s scientific authority through high-impact publications and industry-shaping research. KEY RESPONSIBILITIES - Pioneer Novel Architectures: Drive the research and development of next-generation deep learning models for protein-ligand co-folding and affinity prediction. - Architect Product Integration: Bridge from research to commercial utility by equipping SandboxAQ’s software products with advanced predictive capabilities. - Orchestrate Technical Strategy: Bring novel ideas and the content of scientific papers into the ideation, training, and benchmarking of complex models, ensuring they are optimized for large-scale, real-world drug discovery applications. - Champion Scientific Excellence: Act as a technical beacon for the team, representing SandboxAQ scientifically and shaping its vision externally and internally. - Scale High-Performing Teams: Mentor junior researchers and collaborate across engineering and product teams to foster a culture of technical rigor and rapid iteration. ESSENTIAL SKILLS & EXPERIENCE - World-Class Domain Expertise: PhD in Computer Science, Computational Chemistry, or a related field, with specific focus on structure-based deep learned affinity modelling a plus. - Proven Industrial Impact: At least 4 years of post-PhD experience, including experience in a professional industry setting, with a track record of delivering scientific impact that translates to product. - Frontier Technical Skills: Direct, hands-on experience developing and executing leading-edge co-folding and/or affinity prediction models, from proof of concept to productionized workflows. - Domain-Specific Excellence: Proven excellence in co-folding and/or affinity prediction, as demonstrated by participation in industrial projects and/or academic publications. - Professional Engineering Fluency: Experience functioning within a professional software team, including proficiency in Python and modern ML frameworks (PyTorch/JAX) at scale. HIGHLY DESIRED SKILLS & EXPERIENCE - Postdoctoral Experience: In deep learned structure-based affinity models. - Commercial Success: Experience shipping c

ABOUT SANDBOXAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. THE OPPORTUNITY The AI Generation Engine (SAIGE) team is responsible for rapidly designing, prototyping, and validating AI-first SaaS products that leverage SandboxAQ’s Large Quantitative Models (LQMs) and emerging agentic frameworks. The team operates at high velocity, bridging cutting-edge AI research and production-grade software to unlock new use cases across the company. SandboxAQ's AI Generation Engine (SAIGE) team is seeking a highly accomplished Machine Learning Engineer to take ownership of the end-to-end ML lifecycle, from initial data exploration and model development to scalable production deployment. This role is central to designing and rapidly building AI-first products that incorporate Large Quantitative Models (LQMs) and sophisticated agentic frameworks. We are looking for a hands-on engineer who is passionate about owning the entire lifecycle of model development. This requires significant industry experience in bringing machine learning models from conception and experimentation to production and deployment in a robust, scalable manner, including (but not limited to): Data Acquisition and Curation, Infrastructure, Pre-Training, Evaluations, and Fine-Tuning. This person will be one of the founding engineers to join the SAIGE team and will be the bridge between cutting-edge AI concepts and functional, real-world MVPs. As a Machine Learning Engineer on the SAIGE team, your primary goal will be to rapidly iterate on different potential solutions to build and evaluate new models, focusing on speed and tangible outcomes. You'll be part of a diverse team consisting of software engineers, ML experts, products managers and user experience researchers, where they will play a key role in efficient and effective enablement of the cutting-edge technologies being developed at SandboxAQ. KEY RESPONSIBILITIES - Design, construct, and manage robust data pipelines for the training, validation, and continuous retraining of Large Quantitative Models (LQMs) and agentic frameworks. - Develop, implement, and rigorously test novel ML models and algorithms, defining appropriate metrics to ensure model performance aligns with high-level product objectives. - Lead the effort in cleaning, transforming, and engineering features from complex and large-scale datasets to optimize LQM performance and predictive accuracy. - Conduct deep analysis of model behavior, performance, and failure modes, tuning hyper-parameters and optimizing model architecture for efficiency, speed, and accuracy in a production context. - Collaborate closely with AI researchers, product managers, and SWEs to translate high-level business objectives into actionable ML development and deployment roadmaps. - Champion and enforce exceptional engineering standards for code quality, system efficiency, and security in a prototyping environment - Drive technical execution with high autonomy, making critical design and implementation decisions independently ESSENTIAL SKILLS & EXPER

ABOUT SANDBOXAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. THE OPPORTUNITY SandboxAQ's AQNav (Quantum Navigation) team builds global, GPS-independent, navigation solutions from military and commercial aircraft to autonomous submersible platforms. We are the bridge between cutting-edge quantum sensing research and real-world operations, working directly alongside the defense customers and platform integrators at the highest levels to prove that magnetic navigation works where it matters most. The AQNav team is looking for a highly-accomplished Data Engineer to help take us to the next level. This role is that role you always wanted, to be able to work on cutting-edge technology. You get to join and help build out infrastructure that will empower every member of the team with the data they need, pipelines to help them move faster, and processes that will accelerate and validate our models. The tools and pipelines you help build will directly impact the team's success. We are looking for a data engineer that thrives wearing a variety of hats and enjoys working alongside a diverse group including physicists, ML researchers, hardware engineers, software engineers, data engineers, field ops personnel, navigation engineers, customer facing leaders, and managers at different levels. KEY RESPONSIBILITIES - Data Pipeline Development & Maintenance: Work across a mixed-maturity pipeline environment - Data Modeling: Build and optimize data models that serve a diverse set of consumers. You'll make the data accessible and trustworthy, not just available - Simulation Data Integration: Work within the in-house simulation suite to add data-capturing capabilities and ensure simulation outputs feed cleanly into downstream pipelines alongside real-world field data - Data Quality & Observability: Instrument pipelines with quality checks, anomaly detection, and alerting so issues surface early - Cross-Functional Data Support: Translate ambiguous asks into well-defined requirements, repeatable datasets and lightweight Dashboards that the team can use independently going forward - Data Platform Infrastructure Contribution: Improve the features and reliability of our internal data platform over time - Documentation: Own the technical documentation for pipelines, data models, and schemas you touch. In a team this cross-functional, good documentation is a force multiplier ESSENTIAL SKILLS & EXPERIENCE - US citizenship (required for working with CUI data) - 3+ years of industry experience as a Data Engineer in a startup or fast-moving environment. - Strong proficiency in Python and SQL, with hands-on experience building production-grade data solutions. - Experience designing and maintaining data pipelines and data models/warehouses that process large, structured scientific or engineering datasets. - Hands-on experience building on AWS (e.g., S3, ECS, Lambda, IAM) combined with CI/CD and containerization (e.g., GitHub Actions or CircleCI, Docker) to automate, deploy, and maintain data and ML workloads in the cloud. - Pra

ABOUT SANDBOXAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. THE OPPORTUNITY As a Staff Forward Deployed Engineer (FDE) within our AI Simulation group, you will act as the primary technical bridge between our core Large Quantitative Models (LQMs) and our most ambitious client contracts. This is a high-agency "builder" role designed for a resourceful generalist who thrives on autonomy and is passionate about tackling the hardest challenges in drug discovery and chemical simulation. You will be embedded directly with scientific delivery teams, operating at the frontiers of knowledge where fundamental research converges with practical, real-world impact. Your central purpose is to ensure the technical enablement and success of our most critical partnerships. You will be expected to independently discern complex bottlenecks, architect custom solutions, and orchestrate compute at scale. Whether you are wrapping scientific application logic, managing massive data transformations, or integrating with Agentic systems, you will own the entire lifecycle of your deployments. This role demands a "startup" mindset: the seniority to lead a project's technical vision and the humility to execute any task necessary to move the mission forward. KEY RESPONSIBILITIES - Orchestrate Technical Delivery: Partner with scientific teams to audit workflows, diagnose technical blockers, and take full accountability for the end-to-end technical execution of client contracts. - Architect and Develop Solutions: Design and deploy high-velocity code to extend existing tools, or build new frameworks for wrapping scientific logic and automating complex R&D workflows. - Drive Cross-Functional Collaboration: Serve as the technical translator between non-technical researchers and product teams, validating proposed solutions and ensuring they meet rigorous scientific requirements. - Scale and Optimize Infrastructure: Own the deployment and maintenance of cloud-based compute resources and data pipelines, ensuring stability and performance throughout the contract lifecycle. - Pioneer Technical Integration: Lead the integration of internal core technologies, such as LQMs and Agentic systems, into bespoke client environments to solve major scientific challenges. ESSENTIAL SKILLS & EXPERIENCE - 7+ years of professional software development experience, with deep proficiency in Python and modern architectural patterns. - Proven ability to operate independently in high-ambiguity environments, moving from ideation to functional code with high velocity. - Hands-on experience with cloud orchestration (Kubernetes, Batch systems) and workflow management tools like Airflow. - Technical expertise in building REST APIs, managing database systems (ORMs, schemas), and utilizing Infrastructure as Code (Terraform). - Entrepreneurial mindset with a track record of shipping systems in fast-moving, customer-facing environments. HIGHLY DESIRED SKILLS & EXPERIENCE - Domain expertise in drug discovery, cheminformatics, or advanced materials. - Experience del

ABOUT SANDBOXAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. THE OPPORTUNITY SandboxAQ’s AI Simulation (AISim) division develops and applies Large Quantitative Models (LQMs) that are grounded in physics, chemistry, mathematics and biology to simulate molecular behavior with scientific precision and accelerate discovery in the physical world across biopharma, chemicals, advanced materials, healthcare, and so much more. The AISim division is looking for a seasoned Product Manager to join this team to accelerate productization of scientific innovations and drive product-led growth. A Product Manager at SandboxAQ defines and owns the delivery of technically complex product capabilities. This role involves (1) translating scientific user needs from researchers, clinicians, translational teams, medical affairs, and data scientists into clear product requirements with a commercial focus, and without oversimplifying the science, (2) driving cross-functional alignment and execution across Science, UX/Design, and Engineering teams, (3) proving commercial value by validating Product Market Fit (PMF) through design partners and lighthouse customers, and (5) partnering with Go-To-Market (GTM) teams to package, price, launch, and continuously improve the product for adoption and scale. KEY RESPONSIBILITIES - Own Product Strategy & Definition - Work backwards from customer needs (as opposed to working forward from a specific technology) and drive clear, compelling product vision and definition as articulated via PRFAQs, Product Requirement Docs (PRDs), Pricing and Naming artifacts.Partner with UX to jointly define key user flows and influence overall product design. - Rapid Concept Prototyping and Validation - Drive rapid, tangible experimentation by building and showing demos early and often, both internally and externally, to validate core hypotheses against real-world behavior and avoid misalignment - Plan the Work; Work the Plan - Own the 12-18 month strategic roadmap and its delivery with Engineering, R&D, and Design, manage the backlog for continuous improvement, and coordinate all product launch activities and collateral with Marketing and Legal - Establish Product Market Fit (PMF) - Prove and validate Product Market Fit (PMF) by partnering closely with design partners and lighthouse customers, working closely with them during definition and validation phases like PRFAQ authoring and running private betas - GTM scaling - Partner with Sales and Marketing to create collateral and training, inform revenue goals, monitor KPIs (like win rates), and review customer tickets to identify product insights and address defects ESSENTIAL SKILLS & EXPERIENCE - PhD in Computational Chemistry, Computational Biology or Biomedical Engineering - 5+ years of experience in a life sciences-focused software business across roles such as Technical Product Manager, Solutions Architect, Sales Engineer, or related technical customer-facing product roles. Candidates should have a track record of shaping software products, workin