Forward Deployed Engineer
About Collate
Collate is an AI document generation platform for life sciences. We automate paperwork with AI, helping our customers get life-saving innovations to patients years faster. Collate is an end-to-end solution, powering every step of drug, diagnostic, and medical device development-from concept to market.
Our CEO Surbhi Sarna is a former General Partner at Y Combinator. Surbhi founded nVision Medical, which developed a new method to detect ovarian cancer and was acquired by Boston Scientific. Our CTO Nate Smith is a former Visiting Partner at Y Combinator and founder of Lever. Our AI researchers, engineers, and designers have worked at Google, Nvidia, Meta, Netflix, Amazon, AirBnB, Hippocratic AI, and Grail, and 40% of our team are former founders.
We’re an elite team, with $125M in funding from top investors (Redpoint, First Round Capital, CRV, Conviction, Y Combinator) and leaders in healthcare and AI. This is a rare chance to join an early-stage company with world-changing potential, experienced founders, and resources to execute at scale.
About the Role
Collate’s Forward Deployed Engineering team partners with Fortune 100 life sciences organizations to deploy production AI systems across their most critical document and regulatory workflows. We operate at the boundary of customer deployment and core platform development - using early engagements to define repeatable solution patterns, evaluation standards, and agentic architectures that scale across the industry.
You’ll join as one of the first members of this team and operate with the autonomy of a founder. Your job is to go deep on the hardest problems at our most strategic customers - medical writers, regulatory affairs teams, clinical operations, and development engineers - identify what’s structurally broken, and build production AI systems that solve it. What you build shapes the Collate platform for every customer that comes after you.
Modern Tech Stack
Collate uses a modern tech stack, targeting a highly reliable and available platform. We use Go for scalable backend services, Postgres as our main database, TypeScript & React for frontend development, and Python for AI & ML services.
Our infrastructure is hosted on AWS with Kubernetes for orchestration and Terraform + Argo CD for configuration management. Other key systems include S3, Kafka, OpenSearch, LLMs, and other AI models.
What You’ll Do
Lead end-to-end deployments of Collate’s AI systems inside life sciences organizations - owning scoping, build, and production rollout from first conversation to measurable workflow impact.
Go deep before you write a line of code. Embed with customer teams - medical writers, regulatory affairs, clinical ops - to understand what’s structurally broken, where the highest concentration of unsolved value lives, and what’s actually buildable.
Design and ship production AI systems - document generation agents, agentic workflows, data pipelines - that integrate with customers’ existing infrastructure and regulatory environments.
Define and run eval loops that measure system quality against workflow-specific benchmarks - acceptance criteria, output accuracy, reviewer expectations - and use that signal to improve deployed systems over time.
Turn early wins into repeatable patterns. The best of what you build ships to every Collate customer. What you discover in the field directly shapes what gets built next - you’re a core feedback loop between customers and the product team.
Communicate across every altitude. Translate technical tradeoffs into decisions and operating procedures for scientific, regulatory, and executive audiences - and bring that clarity back to Collate’s engineering and product teams.
What We’re Looking For
You’ve owned customer-facing AI deployments end-to-end - from scoping through production adoption - and can point to shipped systems that drove measurable workflow impact.
You have a 0-to-1 build track record. You’ve built production software from scratch in ambiguous environments and moved fast enough to learn - not just prototype.
You have hands-on production AI experience: prompt engineering, agent development, evaluation frameworks, and deployment at scale - not just familiarity with the landscape.
You’ve operated as a senior engineer or tech lead trusted to make technical decisions in ambiguous environments - without needing a defined spec or a clear path.
You communicate clearly across every altitude - as comfortable in a strategic discussion with a CTO as you are deep in a codebase, and able to translate tradeoffs into decisions for non-technical stakeholders.
Bonus: you have context in life sciences, regulated industries, or document-heavy workflows - and understand what it means to build for auditability, compliance, and high-stakes review cycles.
You think like a founder. When you walk into a customer, you’re curious about the business, digging into what’s broken, and figuring out what to build that doesn’t yet exist. You’re scrappy, resourceful, and want to do it at a higher level of ambition.