Data Product Lead

Remote; San Francisco (CA); Remote; USD 157,000 - 224,000; Full time

Benefits offered by this job

Annual offsites

30 days PTO

Flexible remote working arrangements

Flexible working hours

Equity participation from day one

A work computer

€1,000 personal development budget

€1,000 remote-work budget

Job summary

Partner Company in a remote-friendly role seeks a Data Product Lead to shape data strategy, align analytics with product roadmaps, and coach a growing team. You will turn complex data into actionable insights and guide the data roadmap in collaboration with product managers and engineers.

Applicants should have 6+ years in data analytics or data product management, expert SQL, and hands-on dashboard experience with Omni/Superset. Crypto/DeFi familiarity is a plus in this high-growth environment.

Qualifications

• 6+ years in data analytics, analytics engineering, or data product mgmt; leadership experience.
• Expert-level SQL skills to query and validate data independently.
• Hands-on experience building dashboards with BI tools (Omni, Superset).
• Strong business sense with track record of driving revenue and growth.
• Technical depth to discuss data warehouses, pipelines, models.
• Excellent stakeholder management across cross-functional teams.
• Crypto/DeFi experience or understanding of cross-chain, wallets.
• Ability to thrive in fast-paced, high-growth environment.

Responsibilities

• Own data team's priorities, intake, triage and planning rituals.
• Do hands-on analysis, build dashboards and business cases.
• Prepare insights for recurring reports (weekly, MBR).
• Collaborate with Product Managers to define tracking plans.
• Translate questions into specs, metrics, acceptance criteria.
• Review analyses and datasets for accuracy before sharing.
• Coach and develop data team members.
• Co-own the data roadmap with Data Tech Lead.
• Identify opportunities to improve revenue and growth.

Skills

SQL expertise

BI dashboards

Stakeholder management

Data storytelling

Product sense

People leadership

Crypto knowledge

Analytical thinking

Tools

Omni

Superset

dbt

Kafka

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Product Lead based in Germany.

As Data Product Lead, you will shape the direction, priorities, and impact of a data team in a fast-paced, high-growth environment.
Combining hands-on analytics with product leadership, you will turn complex data into actionable insights, business recommendations, and growth opportunities.
You will lead the team’s roadmap and delivery while working closely with product managers, engineers, and senior stakeholders.
Partnering with a Data Tech Lead, you will connect business needs with technical execution, ensuring the team focuses on the right problems.
This role offers the opportunity to influence company-wide decisions through analytics, reporting, and data-driven strategy.
You will also coach and develop team members, helping strengthen analytical thinking, communication, and stakeholder collaboration.
Please note: This is a remote position open to candidates based in the EMEA region.

Accountabilities

• Own the Data team’s priorities, request intake, and triage, and facilitate team rituals such as planning sessions, reviews, and workshops.

• Conduct hands-on analysis, build dashboards and business cases, and deliver recommendations that influence strategic and operational decisions.

• Prepare data insights for recurring business reports, including weekly reporting and Monthly Business Reviews.

• Collaborate with Product Managers to define tracking plans and success metrics in product requirements documents, aligning the data roadmap with product priorities.

• Translate stakeholder questions into clear specifications, metric definitions, and acceptance criteria that enable the team to deliver meaningful outcomes.

• Review and validate analyses, dashboards, and datasets to ensure accuracy, quality, and reliability before sharing them with internal or external stakeholders.

• Coach and develop Data team members, strengthening their problem-framing, communication, and stakeholder-management skills.

• Co-own the data roadmap with the Data Tech Lead, ensuring infrastructure and technical investments address real business needs.

• Identify opportunities to improve revenue, pricing, growth, and business performance through data-driven insights.

Requirements

• At least 6 years of experience in data analytics, analytics engineering, or data product management, including experience leading people or setting priorities for a small team.

• Expert-level SQL skills, with the ability to independently query, validate, investigate, and challenge data without relying on engineers.

• Hands-on experience building dashboards and reports using BI tools such as Omni, Superset, or similar platforms.

• Strong business and product acumen, with a track record of using data to uncover revenue, pricing, and growth opportunities.

• Sufficient technical depth to collaborate effectively with data engineers and discuss data warehouse design, pipelines, data models, and technical trade-offs.

• Excellent stakeholder-management and communication skills, with the ability to work across Product, Engineering, Finance, Business Development, and executive teams.

• Strong data storytelling skills, including the ability to translate complex findings into clear, actionable insights for both technical and non-technical audiences.

• Experience in the crypto or DeFi ecosystem, ideally in a data role at a crypto company, or a demonstrable understanding of areas such as cross-chain infrastructure, DEX aggregation, bridges, or wallets.

• Comfort working in a fast-paced, high-growth environment where priorities can shift and processes may need to be developed along the way.

Nice to have:

• Python programming skills.

• Experience with dbt and dimensional data modelling.

• Knowledge of semantic layer design and metric definition management.

• Experience preparing data, metrics, and documentation for reliable consumption by large language models (LLMs) and AI agents.

• Machine learning modelling experience, including forecasting, classification, or anomaly detection.

• Familiarity with on-chain data and analytics tools such as Dune Analytics.

• Exposure to streaming data technologies such as Kafka.

Benefits

• Annual company offsites, with previous destinations including Thailand, Vietnam, Morocco, and Greece.

• 30 days of paid time off.

• Flexible remote working arrangements.

• Flexible working hours.

• Equity participation from day one.

• A work computer, with a choice of equipment.

• An annual €1,000 personal development budget after six months of employment, prorated during the first year.

• A one-time €1,000 remote-work budget for coworking, home-office setup, or related expenses.