Forward Deployed Engineer; Agentic AI; Series B

Location: San Francisco, CA | New York, NY | Toronto, Canada (Hybrid – 3+ days in office)

Compensation: $185,000 – $240,000 Base + Competitive Equity + Visa/Relocation Support

We are recruiting for a high-growth, $250M Series B software holding company backed by top-tier Silicon Valley venture firms and premier technology founders. Unlike traditional investment firms, this team acquires, builds, and scales vertical market software businesses for the long term.

They are looking for an entrepreneurial Forward Deployed Engineer (FDE) to embed directly with portfolio companies (portcos), identify high-leverage operational bottlenecks, and ship live, production-grade agentic software. This is a Palantir-style deployment role—you won't be building pitch decks or quick prototypes; you will own running systems end-to-end that compound value across an entire portfolio.

• Embed & Discover: Work closely with portfolio leadership to understand their operational models and identify key workflow opportunities for AI automation.
• Ship Production Systems: Build full-stack integrations, prompts, evals, and UI surfaces to deploy live agentic loops directly into company operations.
• Operate & Scale: Post-launch, tune autonomy tiers, monitor system performance, and smoothly transition stable workflows to internal ops teams.
• Serve as Technical Lead: Act as the technical face of the platform to non-technical operators and executives, establishing trust through execution.
• Codify Playbooks: Bring patterns back to HQ to build reusable platform playbooks that accelerate future deployments.

• Experience: 3–6 years of experience in full-stack engineering, product engineering, or forward-deployed roles. (High-potential new graduates with direct FDE or LLM deployment experience are also welcome to apply).
• Full-Stack Technical Depth: Proficiency across Type Script/Python
  , React
  , and SQL
  —you must be comfortable owning end-to-end delivery solo.
• Production LLM/Agentic Systems: Hands-on experience shipping real AI systems featuring evals, autonomy gating, and outcome tracking (not just demos).
• Operator Instincts: Ability to read a P&L, understand business drivers, and translate non-technical operational bottlenecks into technical solutions.
• Travel & Work Setup: Based in (or open to relocating to) New York, San Francisco, or Toronto, with a hybrid setup (3–4 days in-office) and occasional domestic travel to portfolio sites.

• Competitive Salary: $185K – $250K base salary + equity.
• Relocation & Sponsorship: Open to H1B transfers and providing full relocation assistance.
• Unrivaled Exposure: Direct line of sight into executive management, high-growth AI implementations, and a $250M capital foundation