Staff Software Engineer (m/w/d)

Sharpist GmbH; Berlin; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Benefits dieser Stelle

Unlimited Coaching

Growth Budget of 1000 EUR per year

Pension Scheme (bAV)

Quarterly Magnetic Week events

Builder Environment culture

Zusammenfassung

Sharpist GmbH in Berlin is looking for a Product Engineer who will take complete ownership of problem-solving from concept to delivery. The role involves using AI/LLM tools to enhance workflow, defining the problem space, and ensuring effective communication with engineers and stakeholders.

The ideal candidate has a strong intuition for user experience and excellent technical writing skills. In addition, the company promotes a hybrid working model, offering flexibility for both remote and on-site work.

Qualifikationen

• Ability to think like a Product Engineer with full ownership of feature development.
• Clear writing skills for technically grounded PRDs.
• Intuition for user experience and AI/LLM tools.

Aufgaben

• Own the problem from solution concept to measuring success.
• Audit existing solution concepts and PRDs.
• Define the problem space and design solutions.

Kenntnisse

Ownership

Technical writing

UX intuition

AI/LLM tools usage

Spotting LLM limitations

Fluent English

Tools

TypeScript

React

Node.js

MongoDB

Google Cloud

Jobbeschreibung

The Role

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.

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 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

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.