Forward Deployed Engineer

Forward Deployed Engineer

Founding hire
· 3+ yrs
· Customer-facing

Barcelona HQ or New York City — Hybrid (mostly remote, occasional office)

Competitive base
· Stock Options
· Private Health Insurance

Help us reinvent how careers grow, powered by AI

Careers today move at the speed of bureaucracy with complex, slow, and shaped by outdated, biased, and incomplete information.

We’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.

We’re a tiny but mighty team of senior technologists and operators, building the product we always wished existed. At Pensero.ai
, 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.

Be the bridge between Pensero and the corporate reality of every customer we onboard.

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.

• 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.
• 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.

• 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.

• Hands‑on integration work with dev and collaboration tools (Git providers, issue trackers, chat platforms, etc.).
• Practical experience with LLMs — prompting, RAG,…