[Hiring] Head Of Data @Fundraise Up

Role Description

AI is only as good as the data underneath it. This role makes ours trustworthy.

As our Head of Data, you'll build and guarantee the data foundation the whole company builds on: the pipelines, the models, the definitions, and the contracts that let people and AI agents trust what they're looking at. You'll report to our CFO, which keeps you neutral to any single function and close to how the business actually runs and measures itself. This is a player-coach seat. You'll write code and do the hardest technical work yourself, ship a major internal AI-powered initiative every quarter alongside our AI Transformation team, and grow this into a full function as it proves its value.

Key Responsibilities

• Own the data infrastructure, hands-on.
• Design, build, and run the pipelines and ETL/ELT that feed our warehouse.
• Own freshness, reliability, and cost.
• Build the trusted data layer everyone relies on.
• Own the data models, tests, validation, observability, and lineage that prove the data is accurate.
• Make it self-serve and document it well enough that PMs, analysts, internal builders, and AI agents can answer their own questions.
• Own the definitions library.
• Set the data contracts for internal AI and programmatic access, including MCP.
• Decide which data and actions AI agents and internal builders can reach, on what terms, with what semantics, and with what freshness and correctness guarantees.
• Be the source of truth for business and finance data.
• Be the dependable upstream for Product Analytics, Product ML, and AI builders across the company.
• Lead as a player-coach.
• Ship one major internal AI-powered initiative every quarter.

Qualifications

• You've personally built and run production pipelines/ELT into a cloud data warehouse.
• You have strong SQL and Python, orchestration, and warehouse modeling skills, and you still want to be hands-on.
• You've built a trusted, self-serve data layer that people actually relied on.
• You've defined the contract between a data platform and the systems that consume it programmatically.
• You've shipped AI/ML to production, not just prototypes.
• You've been the dependable data provider for analytics and ML teams.
• You've built or scaled a data capability from a small base as its founding technical leader.
• You can explain a modeling decision to non-technical executives in terms of what it means for the business.

Nice to Have

• Deeper LLM/agentic experience: orchestration frameworks, evals, RAG.
• Hands-on experience building MCP servers or internal APIs.
• Analytics engineering (dbt) and BI enablement.
• Salesforce and GTM systems data.
• Payments, fintech, or nonprofit-sector exposure.

You'll Thrive Here If You…

• Would rather be the person who debugs the broken pipeline than the person who asks who owns it.
• Measure your success by how rarely people have to double-check the numbers.
• Want teams to build their own dashboards and AI tools, and see your job as making that safe rather than doing it for them.
• Think no piece of infrastructure is ever finished and keep looking for the next measurable improvement.
• Push back candidly when a definition is fuzzy or a request would break trust in the data, and then help fix it.
• Keep your ego low and your technical bar high.
• Are excited to build a function from the ground up, not inherit one.

Compensation

The compensation range for this role is Base Salary: $195K - $213K, Variable 15%. OTE: 224K - 245K. Final compensation will be determined based on relevant experience, skills, qualifications, alignment with the role's requirements and location.

Perks & Benefits

• Health, Dental, and Vision insurance covered at 100% for employees, 80% for employee plus dependents, and 70% for employees plus family.
• FSA and HSA Spending Account.
• 20 days of vacation, 5 sick days, 11 company holidays plus an additional 1 floating holiday.
• 401(k) plan with company match.
• 100% Company-paid short-term disability, long-term disability, basic life insurance and AD&D.
• Paid parental leave (12 weeks for primary caregivers / 6 weeks for secondary caregivers).
• Generous home office stipend to support your remote workspace.
• Annual professional development stipend to support your growth (e.g., workshops, courses, and seminars).
• Charitable giving program and paid volunteer time off with registered non-profits.

***Please note: All official correspondence from Fundraise Up will exclusively originate from the @fundraiseup.com domain. Exercise caution and ensure the authenticity of emails claiming to be from our company.***

We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, disability, or any other characteristic protected by applicable law in the countries where we operate.