Principal Product Builder, Data
Why this role exists
The cost of going from idea to working prototype has collapsed. One person with taste, strong judgment, and AI tools can now do what used to take a team and a sprint cycle. Apollo is hiring for what comes next: Product Builders who combine product judgment, domain depth, and AI-native research and execution.
This role owns Apollo Data, the data layer that is committed to providing the world’s most accurate B2B company, contact, and signal data to power a customer’s GTM stack.
Apollo is expanding from “help me find and message prospects” to “help me run my GTM motion.” That only works if Apollo upholds its commitment to offering the broadest, most accurate, and relevant B2B dataset to power GTM at scale.
This is a broad, data-centric role that spans data health and telemetry, data source acquisition, evaluation, and integration, measurement of data accuracy and quality, and a keen understanding of how data structure and taxonomy ties to the customer experience. Data is the backbone that makes Apollo the most trusted GTM execution platform in the world.
What you will own
The product vision, strategy, roadmap, and delivery for Apollo’s core data catalog
Apollo's data as the foundation for the rest of the product: the agent, API, and workflow surfaces that are only as good as the catalog underneath them
Roadmap prioritization with Data Engineering, Research, and Design, keeping data initiatives tied to company OKRs
Apollo’s central data telemetry: the metrics and dashboards that define catalog breadth, depth, accuracy, and freshness, built with Data Science and used to drive sourcing and roadmap decisions
Our always-on data sourcing operation, including source identification from telemetry, evaluation, and integration
The bridge between R&D and Partnerships on vendor data sourcing, evaluation, and ongoing relationships
Collaborate with our Engineering team on the latest approaches to upleveling our core data catalog, bringing a product lens and GTM visibility into our data innovations
Support for key customer data initiatives and evaluations, including direct customer interaction in-tandem with our sales & field teams for all things data
Cross-functional alignment across Product, Engineering, Design, GTM, Support, and Enablement
The ongoing evolution of Apollo into the most trusted data layer for sales and marketing
What you will do
Get close to customers, GTM teams, Support, and internal users to understand where Apollo’s data has gaps and accuracy or usability issues
Set product strategy for an always-on motion for upleveling our native data catalog with new data sources
Set product strategy for how Apollo’s data shows up across the product and in customer systems: enrichment, search and filters, scoring, and the taxonomy and data structure that make the catalog usable at every surface
Prototype quickly using tools like Claude Code, Cursor, Lovable, Figma AI, and other AI-native workflows to validate ideas before scaling investment
Turn complex data pipelines into simple, trustworthy customer experiences across coverage, accuracy, freshness, confidence scoring, enrichment waterfalls, and data provenance
Lead build vs. buy vs. partner decisions for data sources, evaluating vendors on coverage, accuracy, freshness, cost, and compliance, and owning the business case for each
Partner closely with:
Engineering on architecture, reliability, observability, APIs, data models, and edge cases while staying anchored in customer and business outcomes
Design to make data trust visible: where a record came from, how fresh and confident it is, and what a customer can do when it is wrong
GTM, Support, and Customer Success to optimize head-to-head data quality evaluations and learn from customer data experiences
Define the KPI tree and learning loop for the product area, then use it to prioritize, measure, and iterate
Raise the bar for product clarity by writing crisp strategy docs, PRDs, launch plans, and tradeoff memos that make the next best action obvious
What we are looking for
7+ years of product management experience, including ownership of complex data-centric product areas from strategy through launch
AI-native builder. You use tools like Claude Code, Cursor, Lovable, Figma AI, or similar to prototype, validate, and accelerate execution. You can point to things you built or shipped, not just specs you wrote
Principal-level ownership across a meaningful product area with company-level visibility
Strong product judgment. You know how to find the highest-leverage problems, make hard tradeoffs, and protect focus
Data thinker. You can navigate the complexity of many data sources and aggregation processes that centralize data into a high-availability, performant data catalog product; you design and leverage clear data-backed telemetry for driving product decisions
Compliance fluent. You understand data privacy, GDPR and CCPA, consent, and licensing constraints well enough to design within them and partner effectively with Legal and Privacy
High agency. You create clarity in ambiguous environments and move work forward without waiting for perfect structure
Technical fluency across architecture, reliability, observability, APIs, data models, instrumentation, and edge cases
Customer empathy for how data gaps, stale records, and inaccuracies erode trust for sales, marketing, RevOps, admins, and end users
Execution excellence. You define, ship, measure, and iterate without thrash
Strong influence and communication. You align teams, build trust quickly, and make complex systems feel simple
Nice to have
Experience with B2B data products, data marketplaces, enrichment, identity resolution, or data-as-a-service businesses
Familiarity with entity resolution, record matching, data freshness and decay, confidence scoring, high-scale data collection and verification
Experience sourcing, evaluating, and negotiating third-party data vendor relationships, including waterfall or multi-vendor architectures
Experience building for sales, marketing, RevOps, customer success, or GTM operators
Experience using analytics, experimentation, observability, or support data to improve data quality and customer outcomes
The listed Pay Range reflects the total cash compensation inclusive of annual base salary and annual bonus as applicable. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonus target and annual base salary for the role. This salary range may be inclusive of several career levels at Apollo and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role who are not located in the US may request the annual salary range for their location during the interview process.
Additional benefits for this role may include: equity; company bonus or sales commissions/bonuses; 401(k) plan; at least 10 paid holidays per year, flex PTO, and parental leave; employee assistance program and wellbeing benefits; global travel coverage; life/AD&D/STD/LTD insurance; FSA/HSA and medical, dental, and vision benefits.
Tier 1 Pay Range (San Francisco, New York City, Seattle)
$236,000—$295,000 USD
Tier 2 Pay Range (All other US Locations)
$205,200—$256,500 USD