We are looking for a Forward Deployed Engineer with 5-10 years of experience to embed directly inside the engineering firms the company acquires, own the full arc from discovery to shipped software, and build the relationships that make AI adoption actually stick. This is a true FDE role - not solutions architecture, not ticket-taking - you'll have real agency to identify problems, build the tools, and drive outcomes end-to-end at acquired firms.
What will you be doing?
Embed on-site at acquired engineering firms - sit beside their staff, earn their trust, and identify the highest-leverage workflows to automate.
Own the full deployment lifecycle: discovery, build, ship, debug in prod, and iterate live with real users.
Exercise strong product judgment - distill noisy user feedback into a clear opinion on what to build (and what not to build).
Own the user relationship end-to-end, running working sessions and driving scope growth independently.
Feed every on-site lesson back into the company's compounding platform so wins at one firm become leverage across all acquisitions.
- 5-10 years of full-stack product engineering experience with demonstrated customer-facing or forward-deployed work
- Has done true forward-deployed engineering: owned discovery, build, and deployment end-to-end with real users
- Strong English fluency and the communication poise to earn trust with non-technical users on their turf
- Willing to travel Mon-Thurs, 2-3 weeks/month during the first 100 days post-acquisition
- Proven product instincts: can translate user pain into a clear build decision and ship it without hand-holding
- At least one strong signal: recognizable early-stage startup (Seed-Series C) OR top technical education
- Archetype fit: founding/early engineer at a VC-backed startup with product judgment and founder ambition, OR forward deployed engineer at a firm like Palantir
- Experience with LLMs, RAG, agent frameworks, or document parsing in a production context
- Ability to coach junior team members; entrepreneurial drive and customer-focused mindset
- Familiarity with modern full-stack and cloud tooling (e.g., Python, AWS, and related AI/app frameworks)