Senior Product Engineer, Sharpist
Data
Digital coaching provider
Be an early applicant
Digital coaching provider
101-200 employees
Be an early applicant
101-200 employees
Company mission
Drive the growth of organisations and their people through 1:1 digital coaching and personalized learning journeys.
Role
Who you are
- You are a Software Engineer whose medium is Data
- You are a Systems Thinker. You don't just write a query; you ask, "What happens if this data stream fails? Is this operation idempotent? How do we handle eventual consistency in the UI?"
- You are a Builder. You are comfortable jumping into the backend codebase to expose your data via an API. You don't stop at the database layer
- You have Engineering Rigor. You believe that data pipelines deserve the same standard of care as production software: CI/CD, Unit Tests, and Observability
- Must Have: Deep experience designing data-intensive applications. You understand the CAP theorem, race conditions, and how to model data for both relational/NoSQL (MongoDB) and analytical (BigQuery) needs
- Must Have: Strong programming experience is required. Ideally, you are highly proficient in TypeScript or Python, but hands-on experience building robust services in other languages is highly appreciated
- Nice to Have: Experience with LLM orchestration, AI evaluation pipelines, or building recommendation/matching algorithms
What the job involves
- We are looking for a Senior Product Engineer with a deep specialization in data
- What does this mean? It means you are, first and foremost, a product-minded software engineer. You care about the end-user experience and business outcomes, but your primary medium for solving those problems is data infrastructure, pipelines, and architecture
- You will not be a "service bureau" answering ticket requests for SQL queries or just building internal dashboards. Instead, you will be a core builder on a stream-aligned team, treating data as production infrastructure.
- You will bridge the gap between backend application engineering and data engineering to architect the systems that power our core product capabilities—such as matching users to coaches, evaluating our AI agents, and personalizing the learning journey
- As a Senior Product Engineer (Data), you will own the data layer from concept to production.
- Finding and Implementing Key Metrics: You won't just move data around; you will partner closely with Product, Design, and Business stakeholders to figure out what we should be measuring. You will identify, define, and implement the core metrics and telemetry that track user behavior, drive product iteration, and directly impact business growth
- Building Data-Intensive Product Features: You will architect and deploy the backend data engines that power our customer-facing features. This includes our real-time coach matching algorithm and the evaluation pipelines (Evals) that ensure our AI agents are accurate and safe
- Engineering Enablement: Traditional Data Engineers often become bottlenecks. Your goal is to build self-service data infrastructure and abstractions. You will create the tools that allow the rest of the engineering team to independently query data, track their own metrics, and answer their own questions
- Treating Data as Code: You will apply rigorous software engineering practices to our data workflows, ensuring everything is version-controlled, tested, and reliable
Our take
Sharpist are looking to capitalise on the $300-billion worth corporate learning and development market with a curated marketplace of 1:1 coaching experts available to employees. Enterprises who purchase the service from Sharpist are attracted by the startup’s attention to customer experience, with a learner engagement of more than 90%.
The digital coaching provider counts some of Germany’s biggest businesses as its clients (BASF, Allianz, Porsche). It is now using its 2022 funding to expand its services to new markets, including the UK and Ireland.
While the organisation has had great success in its home markets, it will be interesting to see whether it can replicate its impressive growth amongst employers with noticeably different workplace cultures and L&D practices.
Steph
Company Specialist at Welcome to the Jungle
Insights
63% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Feb 2022
$23m
SERIES A
Feb 2020
$5m
SEED
Total funding: $29.2m
Company benefits
- Have your own certified coach
- Flexible working hours
- Free mate, beers & muesli
- Unlimited vacation policy
- Language classes
- Employee library
- Sustainable company discounts
- Visa & relocation support
Company HQ
Neukölln, Berlin, Germany
Leadership
Dominik Lahman
(Co-Founder)A Computer Scientist and Mathematician, Dominik founded and was director of bitkraut, a Berlin-based IT startup. They also worked as a Research project Leader at Fraunhofer Institute for Open Communication Systems.
Fabian Niedballa
(Co-Founder & Board Member)Previously scaled operations in high-growth environments including as Head of Supply Operations at German startup, GetYourGuide. Also previously worked as a strategy consultant at L.E.K.
Hendrik Schriefer
(Co-Founder & CEO)Built and led various teams in human resources, from headhunting to leading the HR department of their previous company, Motius. Also worked as a Global Venture Development Manager at Rocket Internet.
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