We are hiring Forward Deployed Engineers (FDEs) – senior, product-minded builders who are handed a goal, not a backlog, and own it from the first conversation to a shipped product.You will embed directly with the product and business teams who have the problem, and deliver end-to-end.<\/p>\n
What you'll own:<\/p>\n
Projects, end-to-end. Take an idea or a problem from discovery -> design -> build -> ship -> iterate, with minimal oversight. You are accountable for the outcome, not just the code.
Embedding with the teams who own the problem. Sit close to HP's product and business teams, understand what actually matters, and translate ambiguous needs into working software.
Build fast, then harden. Stand up prototypes in days to validate an idea, then evolve the winners into robust, fully realized products.
Scope, sequence, and protect delivery. Break an open-ended problem into clear workstreams, sequence them, make explicit trade-offs between scope, speed, and quality, and remove blockers before
they cost you.
The whole stack. Work across frontend, backend, data, infrastructure, and AI – picking the right tool for the job rather than the one you know best.
AI as a force multiplier. Use AI coding tools and agentic workflows aggressively to design, build, and ship more – and faster – than a traditional team would.
AI-native products. Integrate LLMs, agents, retrieval, and real-time \/ voice capabilities into real products, with the judgment to know when AI is the answer and when it isn't.
Close the loop with the business. Own a measurable outcome, not just a deliverable – track the metrics that matter, understand how each project creates value, and let impact guide what you build next.
Feed learnings back into R&D. Share what worked and what didn't, and codify the patterns that work into reusable tools, playbooks, and building blocks the whole team can build on.<\/p>\n
Must-haves:<\/p>\n
Deep seniority (7+ years). A track record of owning significant systems or products end-to-end.Evidence of real delivery matters more than a job title.
True end-to-end \/ product engineering. You can take something from zero to one and all the way to a shipped, live product by yourself – design, implement, deploy, and operate it – across the full stack.
AI-native to the core. This goes without saying for us: agentic coding tools like Cursor, Claude Code, and Codex are part of your daily workflow, not an occasional experiment – you build with AI by default.
You stay current with a fast-moving ecosystem and fold new capabilities into how you work the moment hey land.
Problem decomposition. Handed a vague, open-ended problem, you structure it into a clear plan, reason about the cost and consequence of each option, and prioritize ruthlessly toward impact.
High autonomy and ownership. You thrive in ambiguity, set your own direction, unblock yourself, and consistently deliver without being managed.
Exceptional communication. Outstanding written and spoken English. You can run a working session, present a direction, write a crisp doc, and align people who don't think like engineers. For an FDE this is non-negotiable – it is half the job.
Bias for speed and impact. You ship, learn, and iterate quickly. You would rather validate an idea in a week than perfect a plan for a month.
Business sense. You understand how businesses work, what the metrics mean, and how the thing you are building actually creates value – and you use that to prioritize.<\/p>\n
Bonus points
Experience building AI \/ LLM products that shipped to real users – agentic workflows, RAG, evaluation frameworks, guardrails, and real-time \/ voice.
A 0-to-1, startup, founder, or consulting background – you have worn many hats and been close to customers.
A portfolio of side projects, open source, or shipped work that shows range and initiative.
Comfort being embedded with non-technical stakeholders and business teams.<\/p>\n","protected":false},"excerpt":{"rendered":"
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