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.
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.
What they do: Digital coaching and leadership development (1:1, group, peer) with analytics
Founded: 2018, Berlin
Employees: 220
Recent funding: $23M Series A (Feb 15, 2022); total reported $29.2M
Security: ISO/IEC 27001:2013 certified
Company Overview
Problem Domain
Workforce leadership development, employee upskilling, and scalable coaching for enterprises.
Founded
2018
Industry
Professional Training and Coaching
Funding Track Record
Series A- 2022-02-15
$23,000,000
Participation from Vorwerk Ventures, btov Partners, Porsche Ventures, Founders Future, and selected business angels
Investor Signal
“Co-led Series A by institutional European VCs with participation from corporate and angel investors”
Founders
What we do
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Join the Team
Data Engineer
On-SiteBerlin, DE
On-Site • Berlin, DE
Who you are
Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.
AI Researcher
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Part-time • Manchester, GB
Backend Developer
ContractHamburg, DE
Contract • Hamburg, DE
DevOps Engineer
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Full-time • Rotterdam, NL
Technical Writer
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Part-time • Belgrade, RS
Data Scientist
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Full-time • Jerusalem
Frontend Developer
ContractBerlin, DE
Contract • Berlin, DE
2+ years of experience in data engineering, analytics, or a related technical role
Advanced SQL skills with experience querying and managing large datasets
Strong Python proficiency, particularly with pandas and data manipulation libraries
Data visualization experience using tools like Looker, Tableau, or Power BI
Hands-on experience building and maintaining data warehouses, ideally with DBT
BigQuery experience or similar cloud data warehouse platforms
Fluency in English
Experience with TypeScript/JavaScript for full-stack data solutions
Experience building or working with LLM-based agents and AI systems
Background in machine learning or data science with practical project experience
Experience with Tech/SaaS and L&D/HR industry is a huge plus!
Strong presentation and storytelling skills – you can translate complex data into compelling narratives that drive action
Ability to synthesize actionable, quantifiable insights from raw data to inform product decisions
A positive & engaged approach to working collaboratively with internal colleagues and external partners
What the job involves
As a Data Engineer (f/m/x), you will have a true impact in changing how companies train and develop the next generation of employees across the globe
You will play a key role contributing to data-driven product development and business intelligence, and you will primarily be responsible for empowering the product team to make informed decisions and validate development outcomes through insightful data analysis, robust data pipelines, and compelling visualizations
You do this supporting their strategic initiatives and employee development initiatives by using Sharpist's unique approach primed with digital coaching cemented by a strong learner experience fuelled by our Sharpist app
This means you get to work with some of the most exciting brands in DACH and globally, including names such as IKEA, LVMH or GetYourGuide
Partnering with the product team to brainstorm valuable insights, build corresponding data pipelines within our data warehouse, and visualize results through Looker Studio or Jupyter notebooks
Supporting the development of our AI Coach Agent through LLM Evaluations and LLM Ops tasks
Managing and optimizing our Python-based coach matching algorithm that intelligently pairs learners with coaches based on performance and other key factors
Presenting data-driven insights to stakeholders across the organization
Assisting cross-functional teams with data requests and analysis
Within 1 month, you will…
Get familiar with our data infrastructure, including our data warehouse, key data sources, and existing dashboards
Understand Sharpist's product, business model, and the critical metrics that drive our success
Meet with key stakeholders across product, engineering, and business teams to understand their data needs
Complete your first data request and deliver initial insights to the product team
Within 1 quarter, you will…
Build and deploy multiple data pipelines to support ongoing product initiatives
Create compelling visualizations and dashboards that enable teams to self-serve insights
Contribute to improvements in our coach matching algorithm based on performance data
Support at least one AI Coach Agent project through LLM evaluation or optimization
Present your first major data analysis to product leadership with actionable recommendations
Within 1 year, you will…
Become the go-to expert for product analytics, proactively identifying opportunities for product improvements through data
Own key components of our data infrastructure and continuously optimize for performance and reliability
Lead significant enhancements to the coach matching algorithm, demonstrating measurable improvements in matching quality
Play a central role in AI Coach Agent development, establishing best practices for LLM evaluation and monitoring
Drive data literacy across the organization, empowering teams to make better data-informed decisions
And then, what's next?
Shape the data team's growth by potentially hiring and mentoring junior data professionals
Expand into more advanced machine learning projects that directly impact product innovation
Lead strategic data initiatives that unlock new business opportunities and revenue streams
Become a thought leader in ed-tech data science, particularly in coaching effectiveness and AI-powered learning
