Viktor is the AI coworker. It lives in Slack and Microsoft Teams, connects to thousands of tools, and does real work for real companies: finance, marketing, ops, engineering. We're building the product that replaces half the SaaS stack with a single teammate.
The team is small. The scope is not.
The Role
As Viktor’s first Data Scientist, you’ll build and own the company’s data foundation—powering core decisions across every team. You'll architect and scale our data pipelines, warehouse, and dashboards, ensuring the business runs on reliable, actionable insights. This is a critical, hands-on role shaping Viktor’s growth and strategy from day one.
What You’ll Do
Own and evolve our ClickHouse warehouse: schema design, ingestion, backfills, performance.
Build and maintain pipelines from prod Postgres, Stripe, Slack, ad platforms, and more.
Create, maintain, and prune Hex dashboards for growth, finance, support, and product teams.
Tackle key business questions: retention cohorts, credit and unit economics, channel attribution, churn, pricing impact.
Set up monitoring and alerting so we’re proactive on business metrics.
Work directly with founders and leaders—scoping, prioritizing, and shipping solutions quickly.
You’re a Fit If
Advanced SQL skills and a pragmatic approach to complex queries.
Python experience for ETL/orchestration (dbt, Dagster, Airflow, or similar).
Familiarity with columnar warehouses (ClickHouse, Snowflake, BigQuery, or Redshift).
Skilled in BI tools (Hex, Metabase, Looker, etc.); have built BI layers from scratch.
Product mindset: proactive, comfortable challenging assumptions, and bias toward action.
Nice to Have
Early-stage startup experience (sub-30 people).
Familiarity with Stripe/SaaS business metrics (MRR, ARR, NDR, LTV).
Background in ML/forecasting—helpful but not essential.
Join us as the cornerstone of Viktor’s data-driven culture and help shape the future of the company.
How we work
Small team, high trust, low process. Decisions are made by owners, not committees. You will ship your first week. You will talk to users your first day. We don't do alignment meetings or stakeholder syncs. We build things, see if they work, and iterate.
Everyone here owns something real. Not a task. A surface of the company that customers depend on. When it breaks, you fix it. When it wins, everyone knows whose work it was.
We use Viktor to build Viktor. You'll see what you're working on in action every day.
Why Viktor
This is a rare window. The product works. The market is pulling. The team is small enough that what you do next week will be live in production next week. That doesn't last forever. Right now, it's still true.
Compensation
Competitive salary, meaningful equity, and the kind of ownership that only exists at this stage.
We're in Munich, New York, and Warsaw. Onsite preferred. The best work happens when you're in the room.
Viktor is the AI employee that lives in Slack and Microsoft Teams, connects to 3,200+ tools, and does the work.
Key team members

Zhenya Loginov

Ketty Slonimsky

Bojan Wilytsch

Agnieszka Dobrenko
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