Staff Software Engineer (m/w/d)

Atlas Metrics; Berlin; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Benefits dieser Stelle

Unlimited Coaching

Growth Budget of 1000 EUR

Pension Scheme (bAV)

Quarterly Magnetic Week

Builder Environment Culture

Zusammenfassung

Atlas Metrics is looking for a skilled Product Engineer in Berlin to take ownership of product features from conception to implementation. You will work closely with engineering teams to ensure that product delivery is efficient and aligns with user needs.

The role offers flexibility with a hybrid work model. Key responsibilities include defining the problem space, developing solutions, and utilizing AI tools effectively. The position comes with a variety of perks aimed at personal and professional growth.

Qualifikationen

• Experience in full ownership of feature development.
• Ability to write clear, technically grounded PRDs.
• Strong intuition for UX, identifying user confusion.

Aufgaben

• Define, ship, and measure features end-to-end.
• Work directly with users and stakeholders for insights.
• Use LLMs as a core workflow tool.

Kenntnisse

Product ownership

Technical writing skills

User experience intuition

Fluent English

Tools

TypeScript

React

Node.js

MongoDB

Jobbeschreibung

About Sharpist

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

We make coaching accessible for all, anytime, anywhere.

We build a hybrid coaching experience, combining genuine 1:1 coaching with an AI Coach for quick insights and follow‑ups.

Our goal is to make coaching scalable, not replace humans, but enhance them.

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 aim for a one‑week cycle, but prioritize shipping at ~70% and learning from real usage over polishing 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, or when a shortcut becomes next quarter's incident. We catch 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 builds the kind of relationships where real conversations happen that change how you think, work, and the product evolves.

Who You Are

Must‑haves:

• You think like a Product Engineer: you have 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.