SandboxAQ

Technical Product Manager

• 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.
• 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

Senior Staff Technical Product Manager, AI Sim

Staff Technical Product Manager, AI

Full-stack Engineer

• Own the Platform Architecture: Serve as the final technical authority for the end-to-end software stack
• Architect with "future-proofing" in mind. Anticipate the needs of future commercialization
• Design and maintain a HIPAA-compliant, production-grade data platform that ensures data confidentiality, integrity, and availability from the sensor to the cloud
• Lead the engineering team’s adherence to applicable medical device standards and regulations
• Write code, review complex PRs, debug hardware-software integration issues, and configure CI/CD pipelines
• Mentor a growing team of senior and staff engineers, fostering a culture of technical excellence

Principal Software Engineer, Medical Devices

Solutions Engineer

• Lead customer onboarding and implementation for AISim Physics and ML-based solutions, including technical discovery, solution design, configuration, and production readiness.
• Serve as a trusted technical advisor to Product and Engineering teams; run architecture workshops and technical deep dives.
• Build and maintain reference architectures, integration patterns, and implementation runbooks to improve time-to-value and reduce onboarding friction.
• Drive enterprise-grade deployment best practices across security, identity/access, networking, observability, reliability, and cost/performance optimization.
• Provide technical escalation support and root-cause analysis in partnership with Engineering; contribute to durable fixes and documentation.
• Contribute to field motions as needed (solution scoping, demos, proof-of-value plans, RFP/security responses).

Senior Staff Solutions Architect, AI

Research Engineer

• Bring content of scientific papers into promising, scalable ML algorithms; and translate these into high-performing and robust scientific code
• Lead the ideation, benchmarking, and execution of complex datasets and ML models, ensuring seamless integration into our large-scale simulation frameworks.
• Implement advanced software and hardware optimizations to maximize the efficiency of ML pipelines across distributed cloud GPU environments.
• Drive software through the entire product lifecycle—from foundational research and implementation to launch and long-term support—ensuring technical excellence at every stage.

Staff ML Research Engineer

Artificial Intelligence

• Own and execute the multi-year technical roadmap for risk modeling, translating advanced simulation and statistical methods into production-grade analytics.
• Define rigorous modeling methodologies, including assumptions, calibration, sensitivity analysis, and documentation suitable for external stakeholder and rating agency review.
• Serve as the primary technical lead for executive briefings and deep-dive workshops, helping stakeholders operationalize model outputs.
• Partner directly with Product and Engineering teams to integrate research prototypes and custom modeling solutions into cloud-hosted simulation platforms.
• Drive go-to-market initiatives by articulating complex model differentiation, appropriate use cases, and limitations during RFPs and technical demos.

Risk Modeling Lead, AI Generation Engine

Analyst

• Responsible for characterizing and calculating map errors using state-of-the-art geospatial analysis, specifically focusing on magnetic anomaly maps.
• Perform detailed trade studies on regional effects, map quality, and flight profiles to determine their impact on navigation performance.
• Work with the navigation and geophysics team to integrate geospatial insights into navigation algorithms.

Geospatial Analyst

Product Manager

• Own the product strategy and execution for our efforts in Finance & Risk Modeling
• Lead rapid prototyping and innovation across a broad range of new ideas and domains
• Provide clarity on priorities in a highly ambiguous, fast-changing environment
• Serve as a trusted product partner to senior stakeholders at key customers
• Identify, evaluate, and prioritize new AI / LQM use cases across multiple domains
• Develop a deep understanding of customer contexts, including current tools, models, and data flows
• Define success metrics and validation strategies to compare our approaches against existing views

Director of Product Management, AI Generation Engine

Program Manager

• Design and manage our global compensation philosophy, ensuring we remain competitive in the AI/Deep Tech market
• Own the end-to-end annual merit, bonus, and equity review process
• Level up and maintain our scalable job leveling framework and career ladders
• Grow and lead our existing global benefits strategy across multiple countries
• Partner with leadership to manage executive compensation and equity pool modeling
• Ensure global compliance and lead the communication strategy to ensure transparency and trust in our rewards programs