Senior Product Engineer

Sharpist; Berlin; Hybrid; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Flexible working hours

Hybrid working model

Employee library

Company pension scheme

Free mate, beers & muesli

Job summary

Sharpist seeks a Senior Product Engineer to own features from problem to production, partnering with Product and Design to turn user insights into a focused product experience. You’ll shape specifications, implement, release, and learn from real usage, using AI/LLMs to accelerate discovery, prototyping, and coding while maintaining quality, security, and performance.

You’ll work across the stack and ship value quickly in a startup, B2B SaaS, or HR tech context, with a one-week cycle goal and a

Qualifications

• 6+ years of professional software engineering experience.
• Experience building AI or LLM product features, including prompting, evaluation, or guardrails.
• Ability to write a clear, technically grounded specification and own it end-to-end.

Responsibilities

• Own multiple product features from discovery through measurement and iteration.
• Work with Product and Design to turn customer insights into a focused product experience.
• Use AI/LLMs as a core part of workflow while ensuring correctness, maintainability and security.
• Contribute across the stack (frontend, backend, data, testing, deployment) as needed.

Skills

6+ years exp

UX intuition

English fluency

AI/LLM experience

Ownership

Shipping speed

Tools

TypeScript

React

React Native

Node.js

MongoDB

Redis

Docker

Google Cloud

BigQuery

Google Dataform

Lightdash

Prometheus

Grafana

Job description

• You’ll take ownership of product features from problem to production
• That means understanding the user and business need, exploring possible solutions, writing a clear technical specification, implementing the feature, releasing it, and learning from how people use it
• You won’t simply receive finished tickets and build exactly what is written. You’ll be expected to ask good questions, identify edge cases, make pragmatic trade-offs, and help shape the right solution with Design and Engineering
• We’re working toward a one-week cycle, although we’re not there yet. For now, we’d rather ship a useful first version at roughly 70%, learn from real usage, and improve it than spend too long polishing something in private
• LLMs now handle a growing share of implementation. You should use them as part of your everyday workflow—for exploration, specifications, prototyping, and coding. At the same time, you need the judgment to recognise when generated code, an abstraction, or a data model is wrong or likely to create problems in production
• First 30 days
• Learn the Sharpist product, including the AI Coach, coaching platform, and learner journey
• Understand our architecture, development workflow, and ways of working
• Pair with engineers and cross-functional colleagues to understand how we take ideas into production
• Ship your first improvements to the product
• First quarter
• Own your first feature end-to-end: understand the problem, shape the solution, write the technical specification, build and release it
• Work closely with Product and Design to turn customer and user insight into a focused product experience
• Use LLMs as a core part of your workflow while validating their output for correctness, maintainability, security, and performance
• Contribute across the stack, including frontend, backend, data, testing, and deployment where needed
• Talk to users and stakeholders when direct context will help you make better decisions
• Year one
• Own multiple product features from discovery through measurement and iteration
• Become a reliable technical owner for a meaningful part of the product
• Help improve engineering quality through better tests, observability, documentation, and development practices
• Contribute ideas that make it easier for the team to ship valuable software quickly and safely
• The Stack
• TypeScript, React, React Native, Node.js, MongoDB, Redis, Docker, Google Cloud, BigQuery, Google Dataform, Lightdash, Prometheus, Grafana
• You don’t need experience with every technology listed. We care more about strong engineering fundamentals, the ability to learn quickly, and the judgment to choose appropriate solutions

Benefits

• Flexible working hours
• Have your own certified coach with unlimited sessions
• Hybrid working model
• Employee library
• Company pension scheme
• Free mate, beers & muesli

You think like a Product Engineer: you’ve owned full feature development, including defining the solution rather than only building what someone else specifiedYou can write a clear, technically grounded specification, and you know what makes one bad6+ years of professional software engineering experienceYou have strong intuition for UX: you notice what confuses users, what creates friction, and what feels rightYou speak and write fluent EnglishYou 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 evidenceClarity: You write specs that don’t need a meeting to explainMission belief: You genuinely care about helping people. That’s why you’re hereOwnership: When ownership is unclear, you step forward. When you’re blocked, you find a solution; you don’t shift the problem upJudgment: You know when something is technically sound vs. technically plausible-but-painfulSpeed: You move fast without creating rework for othersExperience building AI or LLM product features, including prompting, evaluation, or guardrailsExperience working in a Startup, B2B SaaS or HR tech environment