Staff Product Engineer (Full Stack) (m/w/d)

About Sharpist

At Sharpist, our mission is clear: to empower everyone to lead a self‑aware career and life.

We make coaching accessible for all – anytime, anywhere.

We’re building a hybrid coaching experience: genuine 1:1 coaching for empathy and accountability, combined with an AI Coach for quick insights, follow‑ups, and in‑the‑moment support.

Our goal: to make coaching scalable – not to replace humans, but to enhance them. Human and intelligent.

🎥 Meet our AI Coach in action — and see how Sharpist empowers leaders and talents to grow every day:

The Role

You get a business problem and own it from there: shaping the solution, writing the technical specification, working through implementation, releasing it, and checking whether it actually worked. There is no hand-off in the middle and no shipping blind.

We’re working toward a one-week cycle, although we’re not there yet. For now, we’d rather ship at roughly 70%, learn from real usage, and improve the next version than spend too long polishing something in private.

The difficult part isn’t coding on its own. It’s the synthesis: taking a fuzzy problem and turning it into a technically sound, properly scoped solution quickly enough to keep the cycle moving. That’s where many engineers slow down. This role is here to close that gap.

LLMs now handle a growing share of implementation, and you should use them as part of your everyday workflow. What they can’t replace is the judgment to recognise when the architecture is wrong, when an abstraction won’t hold, or when a shortcut is likely to become next quarter’s incident. The important thing is catching that before it gets built, rather than after it reaches production.

What you’ll do

First 30 days:

• Get deep into the Sharpist product: the AI Coach, the coaching platform, and the learner journey

• Audit existing solution concepts and technical specifications so you understand what’s shipping and why

• Shadow a full problem-to-delivery cycle with the engineering team

• Ship your first small improvements or bug fixes

First quarter:

• Own your first problem end-to-end: define the problem space, design the solution, and write the technical specification

• Use LLMs as a core workflow tool: prompt for specifications, evaluate the results for efficiency and soundness, and iterate

• Work directly with engineers to make sure what gets built matches what was intended

• Talk directly to users and stakeholders, grounding each problem in real insight rather than assumptions

• Give structured feedback on technical specifications from others, especially around technical feasibility, scope, and edge cases

Year one:

• Own multiple features end-to-end: define them, ship them, measure them, and understand what worked and what didn’t

• Contribute to the team’s weekly give & take by sharing what you learned and picking up what others discovered

• Make the developer experience meaningfully better through tooling, workflow, or process improvements the team actually uses

The Stack

TypeScript, React, React Native, Node.js, MongoDB, Redis, Docker, Google Cloud, BigQuery, Google Dataform, Lightdash, Prometheus, Grafana.

Working Model

Hybrid in Berlin, 3 days per week in the office. We find that being together in person is what builds the kind of relationships where real conversations happen: the ones that change how you think, how you work, and how the product evolves.

Who You Are

Must-haves:

• You think like a Product Engineer: you’ve owned full feature development, including defining the solution rather than only building what someone else specified

• You can write a clear, technically grounded specification, and you know what makes one bad

• You have strong intuition for UX: you notice what confuses users, what creates friction, and what feels right

• You use AI and LLM tools as a core part of how you work across specifications, prototyping, and implementation, not as a gimmick. Self-directed experiments and side projects count as evidence

• You can spot what LLMs miss: a wrong abstraction, a brittle data model, or a specification that looks fine until it meets production

• You speak and write fluent English

Nice to have:

• Experience building AI or LLM product features, including prompting, evaluation, or guardrails

• Experience working in a B2B SaaS or HR tech environment

What We Value

• Ownership: When ownership is unclear, you step forward. When you're blocked, you find a solution; you don't shift the problem up

• Clarity: You write specs that don't need a meeting to explain

• Judgment: You know when something is technically sound vs. technically plausible-but-painful

• Speed: You move fast without creating rework for others

• Mission belief: You genuinely care about helping people. That's why you're here

What We Offer

• Unlimited Coaching: Access certified coaches to support your personal and professional growth whenever you need it.

• Hybrid working model : Enjoy the flexibility to work both remotely and on-site.

• Growth Budget: 1000 EUR per year dedicated budget for courses, workshops, and certifications.

• Pension Scheme (bAV): Attractive retirement savings program.

• Quarterly Magnetic Week : Connect with your colleagues at exciting events that inspire and excite.

• The "Builder" Environment: A culture that values shipping, learning, and outcome over output.

💙 We are an equal opportunity employer and we encourage people of every ethnic background, gender, ability, and sexual orientation to apply. 🙂

✨ Curious what life at Sharpist looks like? Check out here - from Tuesday BBQs to Thursday breakfast, it's all part of what makes our team so special!

Apply now if this captures your interest and you want to take part in the personalisation of learning for every employee worldwide. We are excited to get to know you!