Analytics Engineering Manager

Details

Ready to be pushed beyond what you think you’re capable of?

At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system.

To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company’s hardest problems.

Our work culture is intense and isn’t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there’s no better place to be.

While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported.

Responsibilities

This role combines technical expertise with business impact, whether it’s building robust data pipelines or directly solving business problems and delivering insights.

As the leader of the analytics engineering team, you’re going to:

• Build and lead the team: Hire, mentor, and grow a team of analytics engineers who will work closely with product and data science teams.
• Develop deep product expertise: Ensure your team deeply understands product data, building targeted data marts and tools that solve real business problems.
• Leverage AI and LLMs: Investigate how LLMs and AI can change analytics and build data foundations that support these future needs. Focus on creating data marts optimized for LLMs and AI-driven analytics.
• Unlock the value of our data: Partner with stakeholders to maximize the commercial impact of data by building scalable models, optimizing pipelines, and integrating cross-product data for better decision-making.
• Directly deliver business impact: Oversee the creation of dashboards, ad-hoc analytics, and self-service tools that empower product teams to make data-driven decisions.
• Prioritize outcomes over tools: Leverage the right frameworks and technologies to drive value, whether by developing abstractions, creating internal data apps, or improving scalable workflows.
• Bridge the gap between business and data: Liaise between product data science, product managers, and central data engineering. Ensure your team uses central data tools and infrastructure while remaining agile and product-focused.

Requirements

• Resourceful problem solver: Thrive on tackling new and complex challenges, learning new programming languages or diving into unfamiliar datasets.
• AI-forward: Excited about LLMs and AI in analytics, applying prompt engineering and design to improve responses.
• Experienced in building and leading teams: Proven experience hiring and managing data teams.
• Hands-on tech lead: Comfortable balancing hands-on work with strategic leadership.
• Data modeling and tools: Expert in data modeling, ETL/ELT, and modern data stack tools like Airflow, DBT, Snowflake, Hex.
• Engineering best practices: Experienced with version control (GitHub), CI/CD, OOP, scalable frameworks, and advanced SQL.
• Creative and detail-oriented: Out-of-the-box thinker with attention to detail and urgency.
• Autonomous and accountable: Operates independently and takes ownership.
• Product and business sense: Collaborated with product and data science teams to deliver analytics solutions.
• Clear and influential communicator: Able to gain buy-in, build relationships, and break down silos.
• Strong statistical foundation: Understanding of statistics and probability for effective data interpretation.

Benefits

• Medical, dental, and vision plans with generous employee contributions
• Health Savings Account with company contributions
• Disability and life insurance
• 401(k) plan with company match
• Wellness stipend
• Mobile/internet reimbursement
• Connections stipend
• Volunteer time off
• Fertility counseling and benefits
• Generous time off/leave policy
• Option to get paid in digital currency

ID:P66578