Staff Product Engineer

Instaffo; Berlin; Vor Ort; EUR 120.000 - 180.000; Vollzeit

Zusammenfassung

Sharpist GmbH is seeking a Staff Product Engineer (10+ years) to own AI/LLM product features end-to-end within our coaching platform. You’ll define the solution, write PRDs, ship with engineers, and measure impact in a fast-moving cycle.

You’ll apply a strong UX sense, push for robust abstractions, and use AI/LLM tools as core workflow components across specs, prototyping, and implementation. Fluent English is required.

Qualifikationen

• Owns feature development end-to-end from concept to release.
• Writes clear, technically grounded PRDs and defines robust specs.
• Has strong UX sense to reduce user confusion and friction.
• Uses AI/LLM tools as core workflow across specs, prototyping and implementation.
• Can anticipate issues with abstractions and data models before production.
• Fluent English communication (written and spoken).

Aufgaben

• Own problem end-to-end: concept space, PRD, implementation, release, and measurement.
• Use LLMs as core workflow tool: prompt for specs, evaluate efficiency and soundness, iterate.
• Work directly with engineers to ensure shipped work matches intent.
• Talk with users and stakeholders to ground problems in real insight.
• Give structured feedback on PRDs for technical feasibility and edge cases.
• Ship first improvements in the initial 30 days.

Kenntnisse

Full ownership of features

PRD writing

UX intuition

AI/LLM tooling

Spot LLM misses

Fluent English

AI/LLM features experience

B2B SaaS/HR tech experience

Jobbeschreibung

• Experience building AI/LLM product features (prompting, evaluation, guardrails)

You are interested in the position as Staff Product Engineer (10+ Years Experience) at Sharpist GmbH?

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 specified


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


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


• You 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 evidence


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


• Fluent 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 journey


• Audit existing solution concepts and PRDs; understand what's shipping and why


• Shadow one 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, write the PRD


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


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


• Talk directly to users and stakeholders to ground each problem in real insight, not assumptions


• Give 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't


• Contribute to the team's weekly give & take: share what you learned, pick up what others discovered


• Make 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.