[All remote jobs](https://jobicy.com/jobs.md)[![Apollo.io logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2022/01/f3c639242c4d1f4cb9c0730ac3842a72.jpeg)](https://jobicy.com/company/apollo-io.md)[Apollo.io](https://jobicy.com/company/apollo-io.md) # Principal Product Builder, Data AI Summary Apollo.io is seeking a principal-level product leader to own the strategy, roadmap, and execution for its core B2B data catalog. The role spans data quality telemetry, source acquisition, vendor evaluation, data taxonomy, APIs, and customer-facing data experiences. The successful candidate will partner extensively with Engineering, Data Science, Design, GTM, Support, Legal, and external data providers. This is an AI-native builder role requiring rapid prototyping alongside rigorous product judgment, technical fluency, and strong understanding of privacy and data licensing. The position is remote within the United States and has company-level visibility and ownership.[Apply for this job](#job-application)[View company](https://jobicy.com/company/apollo-io.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md)SalaryUSD 205,200–295k / yrDepartment[Product & Operations](https://jobicy.com/categories/management.md)EmploymentFull TimeExperienceSeniorPublished10 Nov 2026Apply before10 Dec 2026Listing views57Application actions4Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. Opportunity details ## About this role. [Apollo.io](https://jobicy.com/company/apollo-io.md) 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](http://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](http://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. 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 ### We are AI Native Apollo.io is an AI-native company built on a culture of continuous improvement. We’re on the front lines of driving productivity for our customers—and we expect the same mindset from our team. If you’re energized by finding smarter, faster ways to get things done using AI and automation, you’ll thrive here. ### Why You’ll Love Working at Apollo At Apollo, we’re driven by a shared mission: to help our customers unlock their full revenue potential. That’s why we take extreme ownership of our work, move with focus and urgency, and learn voraciously to stay ahead. We invest deeply in your growth, ensuring you have the resources, support, and autonomy to own your role and make a real impact. Collaboration is at our core—we’re all for one, meaning you’ll have a team across departments ready to help you succeed. We encourage bold ideas and courageous action, giving you the freedom to experiment, take smart risks, and drive big wins. If you’re looking for a place where your work matters, where you can push boundaries, and where your career can thrive—Apollo is the place for you. Learn more [here!](https://www.apollo.io/we-are-apollo) Show more [Apply now >](https://jobicy.com/jobs/160982-principal-product-builder-data.md) * ![Upload CV](data:image/svg+xml;base64,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) ### Upload your resume now To unlock remote work opportunities and be discovered by global employers. This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 5/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightЭто principal-роль с ответственностью за критически важный продуктовый домен, сложные данные и решения build-versus-buy-versus-partner. Требуются глубокая самостоятельность, техническое понимание и способность согласовывать интересы множества команд и поставщиков. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job median (per year)Market rate$250,100US market range (per year)$200k–$310k0$341k AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. Указан годовой диапазон total cash compensation в USD, включающий базовую зарплату и применимый годовой бонус: $205,200–$295,000 в зависимости от локации и уровня. Оценочный рыночный диапазон для principal product leader по data products в США составляет $200,000–$310,000 в год. ## Core skills Skills and capabilities most closely associated with this opportunity. [Product strategy](https://jobicy.com/jobs?search_keywords=Product%20strategy.md)[Product roadmap management](https://jobicy.com/jobs?search_keywords=Product%20roadmap%20management.md)[Data product management](https://jobicy.com/jobs?search_keywords=Data%20product%20management.md)[Data quality management](https://jobicy.com/jobs?search_keywords=Data%20quality%20management.md)[Data governance](https://jobicy.com/jobs?search_keywords=Data%20governance.md)[Data analytics](https://jobicy.com/jobs?search_keywords=Data%20analytics.md)[Data telemetry](https://jobicy.com/jobs?search_keywords=Data%20telemetry.md)[API product management](https://jobicy.com/jobs?search_keywords=API%20product%20management.md)[Vendor management](https://jobicy.com/jobs?search_keywords=Vendor%20management.md)[B2B data sourcing](https://jobicy.com/jobs?search_keywords=B2B%20data%20sourcing.md)[Data privacy compliance](https://jobicy.com/jobs?search_keywords=Data%20privacy%20compliance.md)[GDPR](https://jobicy.com/jobs?search_keywords=GDPR.md)[CCPA](https://jobicy.com/jobs?search_keywords=CCPA.md)[AI prototyping](https://jobicy.com/jobs?search_keywords=AI%20prototyping.md)[Cross-functional leadership](https://jobicy.com/jobs?search_keywords=Cross-functional%20leadership.md) Sample interview questionsHow would you define and operationalize data quality for Apollo’s core data catalog?I would establish a KPI tree covering coverage, accuracy, freshness, completeness, match rate, confidence, and customer-reported defects. I would segment these metrics by entity type, geography, industry, source, and product surface, then connect them to customer outcomes such as successful enrichment and conversion. Describe how you would decide whether to build, buy, or partner for a new data source. I would evaluate strategic differentiation, expected coverage and quality lift, time to value, cost, licensing constraints, reliability, scalability, and operational burden. I would quantify expected customer and business impact, test the source against representative ground truth, and recommend the option with the strongest long-term value and acceptable compliance risk. How would you make data provenance and confidence understandable to end users? I would research where customers lose trust, then design clear, contextual signals for source, last verification date, confidence, and available correction actions. The experience should expose enough detail for informed decisions without overwhelming users, with deeper provenance available when needed. Give an example of using AI-native tools to validate a product idea quickly. I would use AI-assisted coding and design tools to build a lightweight prototype around a focused user workflow, such as reviewing conflicting enrichment records. I would test it with customers and internal GTM teams, measure comprehension and task completion, and use the findings to determine whether a production investment is justified. How would you align Engineering, Data Science, Partnerships, and GTM around a data-catalog roadmap? I would create a shared strategy narrative, measurable objectives, and a transparent prioritization framework grounded in customer impact and data telemetry. Regular operating reviews would make tradeoffs visible, assign clear owners, and ensure that vendor decisions, technical investments, and customer feedback inform one another. 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