Forward Deployed Engineer

We're hiring our first Forward Deployed Engineer, and you'll report directly to one of our co-founders.

Every 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.

You won't be slotted into a defined function. You'll shape the FDE function from day one: 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., * Own customer deployments end-to-end: from kickoff to first insight, you're the technical and operational lead for each new mid-market customer.

• Read the customer's reality: dig into their tools, workflows, and team structure and translate that into a tailored Pensero deployment they actually use.
• Build the bespoke when it matters: 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.
• Spend real time on-site: roughly 30-40% of your time will be with customers, in their offices, watching how their teams actually work.
• Close the loop with product: feed back what you see in the field into our roadmap, so the next customer needs less customization than the last.
• Define the playbook: turn what works into a repeatable process the team can scale., * Hands-on integration work with dev and collaboration tools (Git providers, issue trackers, chat platforms, etc.).
• Practical experience with LLMs - prompting, RAG, evals, guardrails - even if it's been on the side.
• Having shaped a function or playbook from scratch before, in any domain.
• Experience supporting mid-market or enterprise B2B customers technically., * Mostly remote, with the option to use either HQ: 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.
• On the road when it matters: expect roughly 30-40% travel to customers. The rest of the time you're working from wherever you do your best thinking.
• Small, senior, sharp: fewer than 10 engineers, all senior. You'll work directly with our co-founders and skip the bureaucracy.
• Product-led & feedback-rich: 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., 3. Practical exercise (less than 3 hours) - tailored to your experience. Use AI if it helps - we encourage it.

4. Review & discussion (1 hour) - we go through your work together, just like we would as teammates.
5. Customer-scenario roleplay (1 hour) - 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.
6. Values interview - 15 min casual chat with two team members, then 30 min with a co-CEO.
7. Offer - clear, fast, and respectful of your decision-making process.

• Have 3-5 years of engineering experience, ideally with time spent close to customers - solutions engineering, deployment, professional services, dev advocacy, or an embedded role in a startup.

• You prefer deep individual focus and find customer-facing time draining.
• You want a defined process to follow rather than the responsibility of designing one.
• You're not comfortable being the only technical voice in a room full of customer engineers.
• A schedule with regular travel and shifting customer contexts sounds exhausting rather than energizing., * Competitive base salary for a mid-level, customer-facing engineering role.
• Generous stock options: real ownership in the company you're helping to build - and in the function you're helping to define.
• Private health insurance: because your well-being matters as much as your work.
• A say in key product and company decisions: not just your code, not just your customers.

* Are equally sharp at code and conversation: you can hold your own in a Heads of Engineering meeting and in a terminal, on the same day. * Speak Python fluently and are comfortable (or quick to get comfortable) with Django. * Are at home with integrations work: REST and GraphQL APIs, OAuth, webhooks, the messy real-world stuff that connects systems. * Read engineering teams like a detective: tools, rituals, dependencies, dynamics - you reconstruct how a team really works, not just how the org chart says it does. * Translate ambiguity into structure: you walk into a messy customer setup and leave with a plan everyone understands. * Communicate in English fluently; Spanish is a strong plus. * Are excited by AI because it's transformative, not just trendy. * Want ownership: you'd rather design the process than follow one.