Braintrust jobs

Strategic Account Executive (Central Region) Chicago, Illinois, United States, Austin About the company Braintrust is the AI observability platform. By connecting evals and observability in one workflow, Braintrust gives builders the visibility to understand how AI behaves in production and the tools to improve it. Teams at Notion, Stripe, Zapier, Vercel, and Ramp use Braintrust to compare models, test prompts, and catch regressions - turning production data into better AI with every release. About the role Braintrust is looking for an Strategic Account Executive who will be responsible for prospecting and closing new business across the Central region of the US. Braintrust already has a strong base of early customers including Stripe, Notion, Instacart, and Airtable, which you'll be able to build on to help us expand. Our primary users are software engineers, so you'll need to be comfortable working with a technical audience. This role is remote based in Chicago, IL or Austin, TX. What you'll do - As part of the foundational sales team, you'll help develop our GTM strategy and close key customer accounts. - Build and own the entire sales process including engaging with potential customers, negotiating and closing contracts, customer retention, and renewals. - Navigate complex sales and win trust through consultative sales conversations with technical teams. Ideal candidate credentials - You have 5-10+ years of full cycle sales experience, selling to technical audiences. Ideally to very large companies with complex deal cycles. - You have the drive and willingness to go deep on our

Solutions Engineer (Central Region) Austin, Texas, United States, Chicago, Denver About the company Braintrust is the AI observability platform. By connecting evals and observability in one workflow, Braintrust gives builders the visibility to understand how AI behaves in production and the tools to improve it. Teams at Notion, Stripe, Zapier, Vercel, and Ramp use Braintrust to compare models, test prompts, and catch regressions - turning production data into better AI with every release. About the role We are looking to hire a Solutions Engineer to partner with our sales team to navigate every part of the sales process. In this role, you'll working closely with technical stakeholders at companies ranging from small startups to massive enterprises. Our primary users are software engineers and PMs at world-class tech companies who are working to leverage GenAI. What you'll do - Partner with our sales team to articulate the overall Braintrust value proposition, vision, and strategy to customers - Own the technical engagement with customers and help close complex opportunities through advanced competitive knowledge, technical skill and credibility - Deliver product and technical presentations to potential and existing customers - Effectively communicate with customers and internal teams to provide feedback on our products and the competitive landscape - Work with the team to enhance documentation, write blog posts, record videos, contribute knowledge base articles and create other public or private enablement material Ideal candidate credentials - 5+ years of experience as a sales engineer or in solutions consulting - Ability to connect a

Open Source Engineer - Python Remote, San Francisco, California, United States, New York City, Seattle About the company Braintrust is the AI observability platform. By connecting evals and observability in one workflow, Braintrust gives builders the visibility to understand how AI behaves in production and the tools to improve it. Teams at Notion, Stripe, Zapier, Vercel, and Ramp use Braintrust to compare models, test prompts, and catch regressions - turning production data into better AI with every release. About the Role We're hiring engineers to build the open-source libraries that customers use to observe, understand, and optimize how AI operates inside their production applications. These SDKs are a critical part of Braintrust's platform. They power evaluation and observability pipelines across a wide range of environments, frameworks, and AI providers. This role is ideal for engineers who are passionate about developer experience, API craftsmanship, and building fast, reliable, and idiomatic libraries. You'll own the full SDK lifecycle: design, implementation, release, documentation, and community support. Your work will be embedded in thousands of applications and help define how AI is adopted and operationalized across industries. What You'll Do - Build elegant, idiomatic, and resilient SDKs that power Braintrust's LLM evaluation and AI observability platform. - Ensure our libraries are easy to use, efficient to run, and a delight to work with, prioritizing developer experience and performance. - Integrate with major AI providers, frameworks, and platforms our customers rely on, such as OpenAI, Anthropic, and Gemini. - Build tools and automation to improve

Regional Sales Director, EMEA London, UK, United Kingdom About the company Braintrust is the AI observability platform. By connecting evals and observability in one workflow, Braintrust gives builders the visibility to understand how AI behaves in production and the tools to improve it. Teams at Notion, Stripe, Zapier, Vercel, and Ramp use Braintrust to compare models, test prompts, and catch regressions - turning production data into better AI with every release. Braintrust recently expanded to EMEA and we're looking for our first Sales Director in the region. As the Regional Sales Director, EMEA, you will lead and scale a geographically distributed sales team focused on driving revenue, strategic pipeline growth, and new customer acquisition. You'll play a pivotal role in shaping the EMEA sales motion as Braintrust accelerates adoption across enterprise and mid-market customers building AI products. You'll report to senior leadership and be accountable for territory success, including bookings, forecasting accuracy, team development, and cross-functional collaboration. In your first year, you'll help define repeatable sales processes, set performance standards, and deepen relationships with strategic AI-driven engineering teams. What You'll Do - Lead and develop a high-performing sales team to consistently achieve bookings and revenue targets across assigned territories. - Shape and execute regional sales strategy, including territory planning, pipeline management, and deal execution with new and existing accounts. - Partner with Marketing, Sales Operations, and Customer Success to refine ICPs, streamline outbound motion, and accelerate revenue velocity. - Own forecasting, performance metrics, and territory health - driving accountability and

Software Engineer 5 – Agent Platform, AI Platform USA - Remote At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what's next. At Netflix, we want to entertain the world, and we're constantly innovating on how entertainment is imagined, created, and delivered to a global audience. Increasingly, that innovation is powered by AI - and Netflix is making a deliberate bet to become AI Native, with AI woven into how we build products, create content, and run the company. The Opportunity The Agent Platform team gives Netflix engineers the infrastructure to go from zero to a production-grade AI agent without reinventing the wheel. We own the foundational building blocks the whole company builds on: the Model Gateway (unified access to external LLMs like Claude, GPT, and Gemini), the Assistance API for conversational use cases, the MCP Gateway that connects agents to Netflix's internal systems and knowledge, our Agent SDK (built on Strands and Claude), and an end-to-end evaluation stack via Braintrust. The work has moved well beyond chat completions. Teams across Netflix are now building agents - systems that plan, call tools, observe results, and iterate - and they depend on us for the infrastructure to do that reliably and to know

Senior Product Engineer San Francisco, CA Quanta Quanta is an AI-powered accounting and finance platform that fixes a major frustration for businesses: stale and slow financial data. We can do in seconds what takes our competitors weeks, which is why we're trusted by many of today's fastest growing startups. By rebuilding accounting from the ground up, we enable business decisions to be made with timely, complete, and explainable financial information. Many of today's fastest-growing startups, including Decagon, Braintrust, Browserbase, and Mintlify, rely on Quanta as their financial foundation. The Team We are a tight-knit team of 17, working fully in-person in downtown San Francisco. Our backgrounds sit at the intersection of finance and engineering. As a group, we have built accounting systems at Affirm, ledgers at Stripe and Robinhood, and companies from the ground up. We have passed CPA exams, built finance teams from one to dozens, shipped 0→1 products, and scaled systems that support billions in transactions. We understand our customers because we have been in their shoes. We care deeply about correctness, trust, and building systems that last. We are opinionated about the future of finance and committed to building it together. We are defining the Operational Ledger, a new financial foundation for how businesses truly understand themselves. If you want to work on deep, consequential systems, financial data is one of the hardest places to do it well. Accounting sits at the center of every business, yet today it is slow, opaque, and stripped of the context

Staff Frontend Engineer San Francisco, CA Quanta Quanta is an AI-powered accounting and finance platform that fixes a major frustration for businesses: stale and slow financial data. We can do in seconds what takes our competitors weeks, which is why we're trusted by many of today's fastest growing startups. By rebuilding accounting from the ground up, we enable business decisions to be made with timely, complete, and explainable financial information. Many of today's fastest-growing startups, including Decagon, Braintrust, Browserbase, and Mintlify, rely on Quanta as their financial foundation. The Team We are a tight-knit team of 17, working fully in-person in downtown San Francisco. Our backgrounds sit at the intersection of finance and engineering. As a group, we have built accounting systems at Affirm, ledgers at Stripe and Robinhood, and companies from the ground up. We have passed CPA exams, built finance teams from one to dozens, shipped 0→1 products, and scaled systems that support billions in transactions. We understand our customers because we have been in their shoes. We care deeply about correctness, trust, and building systems that last. We are opinionated about the future of finance and committed to building it together. We are defining the Operational Ledger, a new financial foundation for how businesses truly understand themselves. If you want to work on deep, consequential systems, financial data is one of the hardest places to do it well. Finance sits at the center of every business, yet most software makes it difficult to see how numbers are

Senior Scientific Software Engineer, AI Simulation United States 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

Engineering Manager San Francisco, CA Quanta Quanta is an AI-powered finance platform built for fast-growing companies. Every company relies on accounting as its source of truth, but the tools today are manual, fragmented, and not designed for how modern businesses operate. We're building the system of record for finance - one that owns the data layer and uses AI to automate and abstract away the operational burden. The result is a real-time, intelligent financial backbone that goes far beyond traditional accounting software. Many of today's fastest-growing startups - Decagon, Braintrust, Browserbase, Mintlify - rely on Quanta as their financial foundation. The Team We are a tight-knit team of 17, working fully in-person in downtown San Francisco. Our backgrounds sit at the intersection of finance and engineering. As a group, we have built accounting systems at Affirm, ledgers at Stripe and Robinhood, and companies from the ground up. We have passed CPA exams, built finance teams from one to dozens, shipped 0→1 products, and scaled systems that support billions in transactions. We understand our customers because we have been in their shoes. We care deeply about correctness, trust, and building systems that last. We are defining the Operational Ledger, a new financial foundation for how businesses truly understand themselves. If you want to work on deep, consequential systems, financial data is one of the hardest places to do it well. Accounting sits at the center of every business, yet today it is slow, opaque, and stripped of the context needed to

Staff Forward Deployed Engineer, AQNav United States 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,

Product Manager New York City, New York, United States Welcome to Crosby, the next-generation law company We're a team of technologists and legal experts collaborating closely to reimagine corporate legal services from the ground up. We build proprietary technology and human-in-the-loop workflows to radically enhance the lawyer-machine relationship. Our mission is to review complex documents faster than ever and with perfect quality. We're a team of 45 in NYC and growing fast. Our founders bring experience from Cooley, Ramp, and Google, and our team includes operators from companies like Stripe, Meta, Vanta, Hume AI, and more. We're backed by Sequoia, Lux, Index, BCV, and Elad Gil, and our clients include some of the fastest-growing companies in tech: Cursor, Clay, Braintrust, Serval, and more. We 10x'd revenue last year and are on track to do it again. Demand is growing faster than we can keep up with. Legal is one of the last major industries untouched by software. We're building the tools and workflows that will define how AI and humans collaborate on complex knowledge work. The Role As Member of Product Staff for Core AI Product, you will own Crosby's AI redlining system: the product our lawyers use to review every contract that comes through Crosby. You'll work directly with our lawyers, our Applied AI engineering team, and our design team to build a product that delivers higher-quality legal work, faster, every quarter. What You'll Do - Drive product direction. Own the vision, product and roadmap end to end for

Senior Staff Software Engineer, Medical Devices United States 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

FP&A Manager United States 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

Geospatial Analyst Resident United States 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 This residency is part of the AQNav Team, which is responsible for the design, development, and operation of novel navigational methods using GNSS alternatives. As a Geospatial Analyst Resident, you will conduct cutting-edge research in geospatial data integrity and its impact on navigation systems. This position is targeted toward students currently enrolled in a graduate program who are available for 6 months of part-time (at least 20 hours) or full-time work. The expected start date is Summer 2026, though earlier availability will be considered. The position is remote within the United States with periodic travel to our office in Palo Alto, California. Key

Staff Forward Deployed Engineer, AI Simulation United States 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

VP of Operations, AI Simulation United States 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

Staff Technical Product Manager, Life Sciences United States 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 Engineer, AQNav United States 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

Senior Computational Chemist, Drug Discovery (UK) United Kingdom 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

Senior MLOps Engineer - Data Ingestion - Paris Paris, Paris, France Your Impact We are looking for a Senior MLOps Engineer to join the Panda Team (Data & ML Operations) in Data & AI Platform team . Your mission will be to build and maintain secure ML pipelines in production, transforming how we handle healthcare data at scale. You will work in a feature team developing critical data infrastructure that enables data-driven decision-making while protecting patient privacy across millions of users. Working in the tech team at Doctolib means building innovative products and features to improve the daily lives of care teams and patients. What you'll build Your responsibilities include but are not limited to: - Design and implement end-to-end ML model pipelines in production (LLM and custom models) with robust deployment, evaluation, and monitoring frameworks - Own data pseudo-anonymization architecture within ingestion services, converting Tier 0 (personal identifiers) to Tier 1 (anonymized data) while ensuring data quality and model performance - Build and maintain secure data export services with ML-based threat detection to prevent attack vectors (SQL injection, etc.) using adaptive models rather than manual rules - Manage golden datasets and implement production model evaluation frameworks to ensure anonymization quality and system reliability - Build and maintain data pipelines that efficiently extract, transform, and load data from various sources, handling multiple data formats (text, images, audio, video) - Implement automation and orchestration tools using ML orchestration platforms (MLflow, Braintrust, or similar) to streamline infrastructure provisioning and reduce manual effort

Senior Machine Learning Engineer, AI Generation Engine Canada 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):

Staff ML Research Scientist, Co-Folding and Affinity United States 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

Sr. Staff Technical Product Manager, Life Sciences United States 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,

Director of Product Management, AI Generation Engine Canada 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