We are looking for a Forward Deployed Engineer with 3-6 years of experience to embed directly with our portfolio companies ship agentic software into live operations and own the outcomes end-to-end. This is a Palantir-style FDE role at a software holding company youre not writing decks youre building running systems that compound across an entire portfolio.
What will you be doing
Embed with portfolio companies (portcos) to understand their operating model earn operator trust and identify the 23 highest-leverage workflow opportunities for agentic software.
Ship the wedge build integrations prompts evals and UI surfaces to land the first agentic loop at each portco using our core platform.
Operate and tune deployed systems post-launch adjusting autonomy tiers and handing off cleanly to portfolio ops once stable.
Serve as the technical face of this company to portco GMs building trust setting expectations and ensuring the system is seen as their leverage.
Bring patterns back to HQ and codify learnings into reusable playbooks that accelerate every future deployment in the same vertical.
Key Requirements
Full-stack proficiency: TypeScript or Python backend React frontend SQL must be able to own end-to-end delivery solo.
Shipped production LLM/agentic software real systems with evals autonomy gating and outcome tracking (not demos).
Prior embedded or customer-facing engineering experience (e.g. Palantir FDE solutions engineer or deploy-and-operate model).
Operator instincts can read a P&L translate business problems into technical wedges and earn non-technical stakeholder trust quickly.
Based in or willing to relocate to New York NY; comfortable with frequent travel to portfolio company sites.
Tech stack: TypeScript Python React SQL LLMs / Foundation Models Agentic Workflows Evals Snowflake Databricks Apache Iceberg Event-driven Systems
Seniority:
3 - 6 years of experience in full-stack customer-facing software/product engineering OR forward deployed engineering
Work experience:
-Experience with strong tenure at a recognizable early/high-growth startup
-Generalist who has shipped end-to-end production LLM/agentic software to external users
-Exposure to PE consulting or vertical SaaS operator environments (portco M&A integration or similar)
-Strong Archetypes: ex-founder founding engineer
-Big Tech (specifically for new grads)
Education:
Technical degree at a top university (for candidates with < 2 YOE)
Hard skills:
-AI-native with dev tooling and agents to automate manual workflows
-TypeScript or Python React and SQL proficiency
-Programming in Go and TypeScript
Soft skills:
Strong executive presence & polished communication with C-Suite/GMs
Translates ambiguous non-technical problems into scoped technical solutions
Miscellaneous:
Comfortable traveling on-site to portco companies 2-3x days per week
We are looking for a Forward Deployed Engineer with 3-6 years of experience to embed directly with our portfolio companies ship agentic software into live operations and own the outcomes end-to-end. This is a Palantir-style FDE role at a software holding company youre not writing decks youre buildi...
We are looking for a Forward Deployed Engineer with 3-6 years of experience to embed directly with our portfolio companies ship agentic software into live operations and own the outcomes end-to-end. This is a Palantir-style FDE role at a software holding company youre not writing decks youre building running systems that compound across an entire portfolio.
What will you be doing
Embed with portfolio companies (portcos) to understand their operating model earn operator trust and identify the 23 highest-leverage workflow opportunities for agentic software.
Ship the wedge build integrations prompts evals and UI surfaces to land the first agentic loop at each portco using our core platform.
Operate and tune deployed systems post-launch adjusting autonomy tiers and handing off cleanly to portfolio ops once stable.
Serve as the technical face of this company to portco GMs building trust setting expectations and ensuring the system is seen as their leverage.
Bring patterns back to HQ and codify learnings into reusable playbooks that accelerate every future deployment in the same vertical.
Key Requirements
Full-stack proficiency: TypeScript or Python backend React frontend SQL must be able to own end-to-end delivery solo.
Shipped production LLM/agentic software real systems with evals autonomy gating and outcome tracking (not demos).
Prior embedded or customer-facing engineering experience (e.g. Palantir FDE solutions engineer or deploy-and-operate model).
Operator instincts can read a P&L translate business problems into technical wedges and earn non-technical stakeholder trust quickly.
Based in or willing to relocate to New York NY; comfortable with frequent travel to portfolio company sites.
Tech stack: TypeScript Python React SQL LLMs / Foundation Models Agentic Workflows Evals Snowflake Databricks Apache Iceberg Event-driven Systems
Seniority:
3 - 6 years of experience in full-stack customer-facing software/product engineering OR forward deployed engineering
Work experience:
-Experience with strong tenure at a recognizable early/high-growth startup
-Generalist who has shipped end-to-end production LLM/agentic software to external users
-Exposure to PE consulting or vertical SaaS operator environments (portco M&A integration or similar)
-Strong Archetypes: ex-founder founding engineer
-Big Tech (specifically for new grads)
Education:
Technical degree at a top university (for candidates with < 2 YOE)
Hard skills:
-AI-native with dev tooling and agents to automate manual workflows
-TypeScript or Python React and SQL proficiency
-Programming in Go and TypeScript
Soft skills:
Strong executive presence & polished communication with C-Suite/GMs
Translates ambiguous non-technical problems into scoped technical solutions
Miscellaneous:
Comfortable traveling on-site to portco companies 2-3x days per week