Head of Forward Deployed Engineering (FDE)

Beacon Software

$160K — $200K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Experience leading an embedded engineering team focused on AI or data platforms
  • Strong generalist engineering skills with production-level experience in LLM-native software
  • Ability to read and analyze P&L statements effectively
  • Proven track record of managing resource allocation with clarity
  • Excellent written communication skills and commitment to transparency in documentation
  • Bonus: Background in Palantir-style forward deployment, private equity, or vertical SaaS exposure.

Responsibilities

  • Define the FDE doctrine to ensure consistently achieved outcomes
  • Allocate capacity across engineering pods, balancing business needs and resource availability
  • Collaborate closely with pod product leaders to prioritize and sequence deployment work
  • Act as the feedback loop for patterns emerging from field engagements
  • Mentor and grow a team of senior generalists in both Toronto and SF
  • Directly engage in challenging deployments during the initial quarters
  • Ensure each engagement leaves portco’s engineers capable and taught.

Benefits

  • Work in a dynamic and challenging environment
  • Opportunity for career advancement and professional growth
  • Collaborative culture with a focus on team development
  • Engage with cutting-edge AI and data technology
  • The chance to influence engineering practices across multiple products.
Full Job Description
Forward Deployed Engineers are where that platform meets reality. FDEs sit inside the pods with the vertical's product leader, own the customer, land the platform in real portco workflows, and carry each company's problems back to it. This is where our scarcest capacity is spent. We are hiring the leader who owns this function: the people, the doctrine, the allocation of capacity across pods, and the one number the model lives or dies on, labor per portco falling every quarter while the next deployment in a vertical gets faster than the last.

What You'll Own
  • The doctrine: FDE, not consulting. An FDE delivers the outcome and compresses what they learned back into the platform, so the next deployment is cheaper. You hold the line: every engagement is scoped as a wedge with a written start, end, and deliverable; every deployment owes the platform a primitive, a playbook, or an agent workflow whose outcomes the platform can observe; every engagement leaves the portco's own engineers more capable. You are the person who notices when work is sliding toward one-off code and reshapes it.
  • Capacity allocation across pods. Roughly 1,000 engineering weeks a year across the portfolio. You decide, with the pod product leaders, where they go: named capacity on the anchors where revenue and transferable proof both agree, time-boxed and capped bets whose value is the evidence they produce, instrumentation on the cash engines, and nothing discretionary on the rest. Every item passes four gates before it gets an FDE: a business outcome in a number, an owner at the portco who wants it, a baseline we can already see, and a stack we can ship in this quarter.
  • The pod partnership. Each vertical runs one prioritized 1-N backlog, re-ranked weekly by the pod product leader and the FDE: they bring opportunity size and go-to-market timing, the FDE brings technical sequencing and what each deployment owes the platform. You make that mechanism real in every pod, so no FDE is setting their own goals and no FDE's work is invisible to the pod that depends on it.
  • The loop back to the platform. You are the intake for patterns coming out of the field and the strongest voice on what the rails are missing. Similar code taking shape at two portcos is your signal to pull a shared primitive; a workflow a GM would notice if we switched it off is your signal to ship it to the rest of the vertical.
  • The team. Hire senior generalists in Toronto and SF and grow them. Leads at Beacon are chosen for demonstrated upleveling of others, and that is the bar you hold your team and yourself to.
  • Player-coach. Carry one hard deployment yourself in the first two quarters. The role earns its standing by shipping.


What We're Looking For
  • Built and led a forward-deployed, solutions, or embedded engineering function at a company where the product was an AI or data platform; you have run the transition from "every engineer sets their own goals" to a team with a shared backlog and a shared standard, without losing the people.
  • Still a strong generalist engineer: comfortable in someone else's codebase within a day and has shipped LLM-native software in production with evals, autonomy gating, and outcome tracking. You can review an FDE's wedge and know whether it will compound.
  • Operator instincts. You read a P&L, you understand why a churn-save beats a feature launch this quarter, and you can sit across from a GM whose incentives are EBITDA-driven and land a deployment that borrows from the present to pay for the future.
  • Allocates ruthlessly and says so plainly. You have told a real business with a real GM that it is not where scarce engineering goes this quarter, kept the relationship, and been right.
  • Writes clearly and works transparently: async, in public channels, decisions documented where anyone can find them. At Beacon the wedge memo, the GM update, and the post-deployment retro are the work.
  • Bonus: Palantir-style FDE background; private equity or holdco operating exposure; time inside vertical SaaS; experience taking a portfolio of legacy stacks onto shared rails.


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