Forward Deployed Engineer
hace 1 día
Barcelona
ph3Forward Deployed Engineer /h3 pFounding hire · 3+ yrs · Customer-facing /p pBarcelona HQ or New York City — Hybrid (mostly remote, occasional office) /p pCompetitive base · Stock Options · Private Health Insurance /p pHelp us reinvent how careers grow, powered by AI /p h3Our mission /h3 pCareers today move at the speed of bureaucracy with complex, slow, and shaped by outdated, biased, and incomplete information. /p pWe’re here to change that. Our mission is to give leaders and employees the clarity, speed, and fairness they deserve, powered by AI at the core. /p h3About us /h3 pWe’re a tiny but mighty team of senior technologists and operators, building the product we always wished existed. At bPensero.ai /b, AI isn’t a bolt‑on, it’s the foundation. Every product decision, technical choice, and operational process is designed with AI in mind, which means we build faster, smarter, and very differently from traditional tech companies. /p h3The opportunity /h3 pBe the bridge between Pensero and the corporate reality of every customer we onboard. /p pWe’re hiring our bfirst Forward Deployed Engineer /b, and you’ll report directly to one of our co‑founders. /p pEvery customer we onboard arrives with their own corporate reality: their stack, their workflows, their team structure, their data shape, their politics. To give them the best of Pensero, we need someone who can read that reality, translate it into a deployment plan, and execute it end‑to‑end — half engineer, half consultant, all owner. /p pYou won’t be slotted into a defined function. You’ll bshape the FDE function from day one /b: what good onboarding looks like at Pensero, what we automate vs. tailor, what we productize vs. keep bespoke. Your playbook becomes the template for every FDE who comes after you. /p h3What you’ll do /h3 ul libOwn customer deployments end-to-end /b: from kickoff to first insight, you’re the technical and operational lead for each new mid‑market customer. /li libRead the customer’s reality /b: dig into their tools, workflows, and team structure and translate that into a tailored Pensero deployment they actually use. /li libBuild the bespoke when it matters /b: when off‑the‑shelf integrations or dashboards don’t fit, you write the custom code, analysis, or integration to make it fit — across our Python/Django + AI stack. /li libSpend real time on‑site /b: roughly 30–40% of your time will be with customers, in their offices, watching how their teams actually work. /li libClose the loop with product /b: feed back what you see in the field into our roadmap, so the next customer needs less customization than the last. /li libDefine the playbook /b: turn what works into a repeatable process the team can scale. /li /ul h3You’ll love it here if you… /h3 ul libHave 3–5 years of engineering experience /b, ideally with time spent close to customers — solutions engineering, deployment, professional services, dev advocacy, or an embedded role in a startup. /li libAre equally sharp at code and conversation /b: you can hold your own in a Heads of Engineering meeting and in a terminal, on the same day. /li libSpeak Python fluently /b and are comfortable (or quick to get comfortable) with Django. /li libAre at home with integrations work /b: REST and GraphQL APIs, OAuth, webhooks, the messy real‑world stuff that connects systems. /li libRead engineering teams like a detective /b: tools, rituals, dependencies, dynamics — you reconstruct how a team really works, not just how the org chart says it does. /li libTranslate ambiguity into structure /b: you walk into a messy customer setup and leave with a plan everyone understands. /li libCommunicate in English fluently /b; Spanish is a strong plus. /li libAre excited by AI /b because it’s transformative, not just trendy. /li libWant ownership /b: you’d rather design the process than follow one. /li /ul h3This might not be your sweet spot if… /h3 ul liYou prefer deep individual focus and find customer‑facing time draining. /li liYou want a defined process to follow rather than the responsibility of designing one. /li liYou’re not comfortable being the only technical voice in a room full of customer engineers. /li liA schedule with regular travel and shifting customer contexts sounds exhausting rather than energizing. /li /ul h3Bonus points for… /h3 ul liHands‑on integration work with dev and collaboration tools (Git providers, issue trackers, chat platforms, etc.). /li liPractical experience with LLMs — prompting, RAG, evals, guardrails — even if it’s been on the side. /li liHaving shaped a function or playbook from scratch before, in any domain. /li liExperience supporting mid‑market or enterprise B2B customers technically. /li /ul h3How we work /h3 ul libMostly remote, with the option to use either HQ /b: you can be based out of Barcelona or NYC and drop into the office when it helps. We get together on‑site for high‑leverage moments — kickoffs, planning, key customer work — not because the calendar says so. /li libOn the road when it matters /b: expect roughly 30–40% travel to customers. The rest of the time you’re working from wherever you do your best thinking. /li libSmall, senior, sharp /b: fewer than 10 engineers, all senior. You’ll work directly with our co‑founders and skip the bureaucracy. /li libProduct‑led feedback‑rich /b: we build fast, make decisions on data and user impact, and give feedback the way we’d want to receive it — clear, objective, and aimed at making the work better. /li /ul h3Compensation and perks /h3 ul libCompetitive base salary /b for a mid‑level, customer‑facing engineering role. /li libGenerous stock options /b: real ownership in the company you’re helping to build — and in the function you’re helping to define. /li libPrivate health insurance /b: because your well‑being matters as much as your work. /li liA say in key product and company decisions: not just your code, not just your customers. /li /ul h3Hiring process /h3 ol libPortfolio review /b — share your LinkedIn, GitHub, or any public work that shows how you think. /li libIntro call (30 min) /b — quick mutual fit check. /li libPractical exercise (less than 3 hours) /b — tailored to your experience. Use AI if it helps — we encourage it. /li libReview discussion (1 hour) /b — we go through your work together, just like we would as teammates. /li libCustomer‑scenario roleplay (1 hour) /b — we simulate an onboarding conversation with a mid‑market Head of Engineering. You’ll scope the technical work, navigate the human dynamics, and make calls in real time. /li libValues interview /b — 15 min casual chat with two team members, then 30 min with a co‑CEO. /li libOffer /b — clear, fast, and respectful of your decision‑making process. /li /ol h3How to apply /h3 pApply: Send your LinkedIn/GitHub and a short note describing your motivation to join to /p /p #J-18808-Ljbffr
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