Staff Product Engineer

You are interested in the position as Staff Product Engineer at Sharpist GmbH? On Instaffo, you can apply for this and other jobs with ease. Create your profile in under 2 minutes and start the application process with just a few clicks. Requirements Please note that this position requires work authorization for Germany. Language: English - Business fluent (C2) Must-haves: You think like a Product Engineer: you've had full ownership of feature development, defining the solution, not just building what someone else specifiedYou can write a clear, technically grounded PRD, and you know what makes one badYou have a strong intuition for UX: what confuses users, what creates friction, what feels rightYou use AI/LLM tools as a core part of how you work, across specs, prototyping, and implementation, not as a gimmick. Self-directed experiments and side projects count as evidenceYou can spot what LLMs miss: a wrong abstraction, a brittle data model, a spec that looks fine until it hits productionFluent English (written and spoken) Nice to have: Experience building AI/LLM product features (prompting, evaluation, guardrails)Worked in a B2B SaaS or HR tech environment Activities You get a business problem and you own it from there: solution concept, PRD, implementation, release, and measuring whether it worked. No hand-off, no shipping blind. We're working toward a one-week cycle, but we're not there yet. We'd rather ship at :70% and learn from real usage than polish in private. The hard part isn't the coding. It's the synthesis: going from a fuzzy problem to a technically sound, scoped solution fast enough to keep the cycle moving. That's where most engineers slow down. That's the gap this role fills. LLMs handle a growing share of the implementation. What they can't replace is the judgment to know when the architecture is wrong, when an abstraction won't hold, when a shortcut becomes next quarter's incident. Catching that before it's built, not after. What you’ll do First 30 days: Get deep into the Sharpist product: the AI Coach, the coaching platform, the learner journeyAudit existing solution concepts and PRDs; understand what's shipping and whyShadow one full problem-to-delivery cycle with the engineering teamShip your first small improvements or bug fixes First quarter: Own your first problem end-to-end: define the problem space, design the solution, write the PRDUse LLMs as a core workflow tool: prompt for specs, evaluate for efficiency and soundness, iterateWork directly with engineers to ensure what gets built matches what was intendedTalk directly to users and stakeholders to ground each problem in real insight, not assumptionsGive structured feedback on PRDs from others: technical feasibility, scope, edge cases Year one: Own multiple features end-to-end: define, ship, measure, and know what worked and what didn'tContribute to the team's weekly give & take: share what you learned, pick up what others discoveredMake the developer experience meaningfully better: 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. Team You will join an engineering team that values a 'builder' culture, focusing on shipping, learning, and outcomes. We prioritize in-person collaboration to build strong relationships and foster the kind of conversations that evolve our product. The Engineering team consists of 5 people. About The Company Sharpist is a results-oriented, digital coaching provider with the mission to drive the growth of organizations and their people through 1:1 digital coaching and personalized learning programs. Learners in organizations from 30+ countries meet their personal business coach from a global network of certified coaches via the Sharpist app. For optimal learning success, the coaching is supplemented with personalized learning content and progress tracking tools. Founded in 2018 by Hendrik Schriefer and Fabian Niedballa, Sharpist now has offices in Berlin, Munich, Zurich and London. Click on "Apply" for details on the benefits, the team and the application process.