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Founding Forward Deployed Engineering Lead

Our client is a Series A AI & Insurance startup
On-site
San Francisco, CA
Full-time
Senior
$300k - $400k
Equity offered

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Role Overview

Founding leadership role sitting at the intersection of engineering, customer success, and product at an AI automation company for the insurance brokerage industry. Fulcrum automates manual account-manager work like proposal creation, policy checking, document chasing, and data entry in the $1.5T insurance industry where every transaction flows through brokers.

The trajectory is hands-on IC first, then build and lead the entire forward-deployed engineering function.

Phase 1 — Hands-on IC:

  • Work directly with customers (end users through executives) to understand business processes, pain points, and success criteria
  • Lead technical implementations hands-on — writing code, solving complex customer problems directly
  • Partner with Customer Success to drive customer outcomes

Phase 2 — Build and lead the FDE function:

  • Recruit, hire, and lead a team of 3–5 forward-deployed engineers
  • Establish processes and set the bar for FDE work at Fulcrum
  • Identify where customer-specific solutions can extend Fulcrum's core platform
  • Work closely with Product and Engineering on roadmap alignment

Responsibilities

  • Work directly with customers (end users through executives) to understand business processes, pain points, and success criteria
  • Lead technical implementations hands-on — writing code, solving complex customer problems directly
  • Partner with Customer Success to drive customer outcomes
  • Recruit, hire, and lead a team of 3–5 forward-deployed engineers
  • Establish processes and set the bar for FDE work at Fulcrum
  • Identify where customer-specific solutions can extend Fulcrum's core platform
  • Work closely with Product and Engineering on roadmap alignment
  • Travel up to ~25% to customer sites

Ideal Background

Must-have:

  • 4–8 years of engineering experience in a forward-deployed, implementation, or solutions engineering role
  • Tech lead or management experience (managed at least 2+ engineers, even informally as a TLM)
  • Proven IC strength — track record leading ambiguous projects independently
  • Strong proficiency in at least one of: TypeScript, JavaScript, Python, or Go
  • SQL and data modeling experience
  • Excellent communication skills — comfortable with senior customer stakeholders
  • BS or MS in Computer Science or related field (top 100 school undergrad ideal)
  • Willingness to travel ~25% to customer sites

Strongly preferred:

  • Experience at a top-tier, VC-backed tech startup (target companies below)
  • Clear transition story from hands-on IC → building/scaling an FDE team
  • Experience with AI platforms, LLMs, or generative models
  • Early-stage startup experience or dynamic environments

Target companies: C3.ai, Harvey, Rippling, Decagon, Glean, Palantir Technologies

Disqualifiers:

  • Tech consulting backgrounds (e.g., TCS, big-corp consulting)
  • Heavy legacy/big-corp enterprise experience without startup exposure
  • Candidates without strong top-tier company pedigree
  • Accomplishments leaning on legacy enterprise rather than early-stage build experience

Interview Process

  1. Hiring manager screen
  2. Technical screening(s)
  3. On-site interview

Why Join

  • Founding leadership — build the FDE function from zero
  • Real product traction — Series A, multi-million ARR, serving 30% of the top 50 brokers with <10 people at the time
  • High-leverage market — $1.5T insurance industry, broker-mediated, ripe for AI automation
  • Strong team — ex-Affirm, Uber, DoorDash, McKinsey
  • Top-of-market comp — $300K–$400K base plus competitive founding equity
  • Direct founder access — reports into co-founder (Sambhav Anand), trusted to operate with minimal guidance

About the Company

Our client is a Series A AI & Insurance startup

10-50 employees
Office

Required Skills

TypeScript
JavaScript
Python
Go
SQL
Data Modeling
Tech Lead
Customer-facing Engineering

Nice to Have

AI/ML
LLMs
Insurance Industry
Team Building
Enterprise Implementations