Principal Product Builder, Data

Apollo.io is the leading go-to-market solution for revenue teams, trusted by over 500,000 companies and millions of users globally, from rapidly growing startups to some of the world's largest enterprises. Founded in 2015, the company is one of the fastest growing companies in SaaS, raising approximately $250 million to date and valued at $1.6 billion. Apollo.io provides sales and marketing teams with easy access to verified contact data for over 210 million B2B contacts and 35 million companies worldwide, along with tools to engage and convert these contacts in one unified platform. By helping revenue professionals find the most accurate contact information and automating the outreach process, Apollo.io turns prospects into customers. Apollo raised a series D in 2023 and is backed by top-tier investors, including Sequoia Capital, Bain Capital Ventures, and more, and counts the former President and COO of Hubspot, JD Sherman, among its board members.

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.