Job intelligence
Principal Product Builder, Data
Apollo.io
Before relying on the listing: Confirm Application closing time with the employer or source. See verification questions
Executive opportunity brief
The decision in one screen
A compact evidence-first read of compensation, flexibility, mobility and what still needs verification. No universal quality score is used.
Fast read
Opportunity DNA
What stands out most is that pay compares strongly with similar current roles. The biggest counterweight is that location rules could change the fit.
Around the 83th percentile within 66 comparable USD salary observations.
Geographic eligibility is restricted to a country or region.
The listing does not make the minimum education or experience threshold clear enough yet.
Sponsorship and relocation support are not clear from the current listing.
Part of the application route can be assessed, but the full external process may contain additional steps.
At least one recent enabled source can still renew this vacancy.
This fingerprint summarizes what is clear, constrained or still unanswered in the current listing. It is a reading aid, not an overall job score.
Decision evidence check
4 of 5 core facts stated
This checks whether the listing states the facts that commonly change an employment decision. It measures disclosure completeness, not whether the opportunity is good or bad.
Facts already stated
- Compensation
- Work arrangement
- Advertised location
- Employment type
What to verify next
- Application closing time: Is there a firm application deadline, a rolling review window or no stated closing date?
Advertised location is not proof of work authorization, sponsorship, or legal eligibility. Unknown information is not a negative score; verify those questions separately.
Decision levers
What could make or break the fit?
Reasons to look closer
- Pay compares strongly with similar current roles: The annualized midpoint is around the 83th percentile among 66 comparable USD salary observations.
Trade-offs to weigh
- Location rules could change the fit: Geographic eligibility is restricted to a country or region.
Questions worth asking before you invest more time
- Confirm whether a degree is actually required, preferred, or replaceable with equivalent experience.
- Confirm the actual minimum experience requirement rather than assuming preferred background is mandatory.
- Ask whether visa sponsorship is available before investing significant time in the application.
These questions come from details the listing leaves open. An unanswered point is not treated as a disadvantage.
Opportunity neighborhood
Keep your options open
These live roles sit close enough to this opportunity to make useful comparison points. Look across several employers before deciding what pay, flexibility or access trade-offs you are willing to accept.
Staff AI Product Analyst
ANGI · USA
Why it is nearby: Same seniority band · Same country · Similar work arrangement
About 22% lower advertised midpoint
Senior Product Manager - Prepaid Cards
Tremendous · USA
Why it is nearby: Same seniority band · Same country · Similar work arrangement
About 5% higher advertised midpoint
Product Engineering
Polar · Europe, USA
Why it is nearby: Same seniority band · Same country · Similar work arrangement
Senior Product Manager, Retention (5M to 50M users)
Jerry · Remote — Worldwide
Why it is nearby: Same seniority band · Similar work arrangement · Same employment type
About 26% lower advertised midpoint
This neighborhood is drawn from current inventory in the same broad occupation. Similarity is based on explicit listing facts; missing details do not count against a job.
Role market context
How much current choice is visible around this kind of work?
This compares the vacancy with current High Paid Job inventory in the broad Product roles family. It describes visible choice and disclosure, not future demand or career quality.
200 most recent current roles sampled for the disclosure measures below.
Distinct employers in the bounded current sample, not an estimate of all employers hiring in the market.
Current sampled roles stating at least four of the five Core Decision Facts.
Requires a numeric amount, explicit ISO currency and supported pay period.
Listings with explicit enough remote, hybrid or on-site evidence to classify.
Missing deadline evidence remains unknown and is not interpreted as an open-ended application window.
Currencies with explicit pay evidence in the sample: USD (44) · GBP (7) · EUR (7) · CAD (3). Raw amounts across different currencies are not compared.
This describes current visible High Paid Job inventory in the same broad occupation family. Percentages use a bounded recent sample and are not a forecast, a complete labor-market census or an employer-quality measure.
Constraint opportunity lab
What changes the size of the current opportunity pool?
Each line applies one stricter evidence-based constraint to the same bounded current role-family sample. It helps you see the trade-off in visible choice without deciding which trade-off is right for you.
Counts only affirmative or possible sponsorship evidence, or relocation explicitly offered. Unknown is not treated as no.
A much stricter subset: only listings with explicit worldwide-remote evidence remain.
Requires amount, explicit ISO currency and a supported pay period. Missing pay evidence remains unknown.
Shows the subset with enough stated evidence for a more informed first comparison.
Counts roles explicitly classified as worldwide remote, region-restricted remote or remote with restrictions still unclear.
Only same-currency opportunities with usable annualized pay enter this comparison. Other currencies are not converted or treated as lower.
Uses only roles where a country is known. Roles without country evidence are excluded from this denominator.
Includes roles whose seniority is genuinely unspecified rather than assuming they belong to another level.
These are counterfactual filters over a bounded sample of current HPJ inventory in the same broad occupation family. They show how visible choice changes when one evidence-based constraint is applied; they do not tell you which constraint you should choose or predict hiring outcomes. The calculation uses the 200 most recent current roles from 1506 visible roles in this broad family.
Salary transparency context
Is pay disclosure typical for this kind of role?
This listing states usable structured compensation. About 31% of the bounded current role sample does the same.
Compensation counts only when amount, ISO currency and supported pay period are all known.
Pay disclosure is limited in the current role sample.
This employer’s current visible listings disclose pay materially more often than the current same-role sample.
This compares salary-disclosure behavior in current visible listings. It does not compare raw salary amounts across currencies, infer undisclosed pay as zero, or rate employer quality.
Private offer & negotiation lab
Turn an offer into evidence, not guesswork
Enter an annual base offer and, if you want, your own target. HPJ compares only within one explicit currency and never chooses a target for you.
Negotiation evidence available: advertised pay range, current same-currency market context, strong decision evidence.
Enter an annual base offer to compare it with explicit same-currency evidence. HPJ will not suggest a target for you.
Review the full package · 10 terms
Mark what is confirmed, what needs clarification and what you want to prioritize. These choices and notes stay in this browser.
Usable advertised compensation is available.
Variable compensation is mentioned; verify amount, formula, target and eligibility.
Equity or long-term incentive language is mentioned; verify grant type, vesting and valuation basis.
Retirement or pension benefits are mentioned; verify employer contribution and vesting.
Health-benefit language is mentioned; verify coverage, dependants and employee cost.
Paid-leave language is mentioned; verify the exact entitlement and carry-over rules.
A work-arrangement signal is available; verify schedule details before relying on it.
Relocation support not established
Sponsorship not established
A review cycle is mentioned; verify timing and whether compensation can change at that review.
Questions worth taking into the offer conversation
- If relocation is relevant, what expenses, timing and repayment conditions are covered?
- What exact sponsorship or work-authorization conditions apply to this role?
- When is the first performance and compensation review after joining?
- Is there a firm application deadline, a rolling review window or no stated closing date?
Occupation intelligence
What broader career references connect to this role?
HPJ uses broad comparison families for current-market analysis. External taxonomy results are reference candidates for that broad family, not a declaration that this vacancy has been authoritatively classified into a specific occupation.
European occupation references
- product manager
- ICT product manager
- banking products manager
- tourism product manager
- chief product officer
This service uses the ESCO classification of the European Commission.
U.S. occupation references
- Marketing Managers 11-2021.00
- Commercial and Industrial Designers 27-1021.00
- Sales Engineers 41-9031.00
- Demonstrators and Product Promoters 41-9011.00
- Biofuels/Biodiesel Technology and Product Development Managers 11-9041.01
This site incorporates information from O*NET Web Services by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). O*NET® is a trademark of USDOL/ETA.
Career reference research
Skills worth investigating
Official occupational context, paired with exact phrases visible in this vacancy. It is not a skills test or an applicant-fit score.
ESCO · European occupation
product manager
Usually essential in this ESCO occupation
- execute marketing plan
- persuade clients with alternatives
- prepare market research reports
- market research
- analyse economic trends
- develop communications strategies
- product life-cycle
Context-dependent ESCO skills
- apply strategic thinking
- production processes
- integrate marketing strategies with the global strategy
- analyse data about clients
- manage budgets
O*NET · U.S. occupation
Marketing Managers
O*NET occupation skills
- Active Listening
- Speaking
- Active Learning
- Complex Problem Solving
- Critical Thinking
- Judgment and Decision Making
- Monitoring
- Persuasion
Build my private skill preparation brief Your evidence · Practice · Interview questions
Plan how you might demonstrate or investigate occupational skills. These are broad-family reference examples, not confirmed vacancy requirements. Nothing you enter is sent to High Paid Job.
Private to this browser. Up to 20 reference skills; not a qualification assessment or hiring prediction.
Useful next question: Which of these occupational reference skills does the hiring manager actually expect for this specific role, and what evidence would demonstrate them?
These skills belong to one reference occupation selected for HPJ’s broad career family, not a verified classification of this vacancy. Text overlap only means a phrase appears in the available listing text; it does not establish an employer requirement, your proficiency, or a qualification gap. A missing mention is unknown, not a deficit.
Adjacent current roles to investigate
Senior Backend Engineer II & III (.NET)
M Kopa · London
same seniority band · same employment typeSenior Platform Engineer
Trainline · London
same seniority band · same employment typeLead Software Engineer - Performance Marketing
Voodoo · Paris
same seniority band · same employment typeAdjacent-family roles are exploration prompts from current HPJ inventory. They are not inferred qualification matches and they do not imply a promotion path.
Career move map
What sits one step away?
This listing is currently read as Senior / lead. Nearby roles one visible seniority step away can help you judge whether to widen the search, stretch upward or compare the responsibilities more carefully.
Stretch direction
Group Product Manager, AI-Native Data Warehouse
Juniper Square · Canada, USA
Same country · Similar work arrangement · Same employment type Advertised midpoint is about 6% higherHead of Product Management - Artist Products
Spotify · USA
Same country · Similar work arrangement · Same employment type Advertised midpoint is about 12% higherThese are live roles one visible seniority step away in the same broad occupation family. They can reveal nearby options, but they are not a guaranteed promotion path and do not account for your personal experience.
Skill bridge
What does this role connect to?
Figma is one of the signals this listing shares with skills appearing often across current Product roles opportunities.
Skills named in this listing
Shared with the current career sample
- Figma Seen in 6 sampled listings
Additional signals in this listing: HubSpot
Application edge
- If these skills match your background, prepare one concrete example that shows how you used Figma and HubSpot rather than relying on a keyword-only claim.
If the named skills are genuinely transferable in your own experience, the occupation map also points to adjacent current families worth researching: Software engineering roles, Design roles, and Marketing roles. This is exploration context, not a qualification match.
Skill signals come from explicit text mentions. A mention is not automatically a requirement, and absence from the current top-skill list does not make a skill rare or unimportant. The current career comparison draws on 120 sampled listings; 80 contain a recognized skill signal.
Application Decision Lab
Turn the listing into a preparation plan
Separate what the listing actually states from what you still need to prepare or verify. Your selections and short notes stay in this browser and are never submitted to High Paid Job.
Figma
This skill or technology is explicitly mentioned in the available listing text. A mention is not automatically a mandatory requirement; prepare a concrete example only if it is relevant to your experience.
HubSpot
This skill or technology is explicitly mentioned in the available listing text. A mention is not automatically a mandatory requirement; prepare a concrete example only if it is relevant to your experience.
Questions worth resolving before you rely on the opportunity
- Application closing time: Is there a firm application deadline, a rolling review window or no stated closing date?
- Work authorization / sponsorship: If sponsorship or work authorization matters to you, what exact immigration or employer-sponsorship conditions apply to this role?
- Application process: What interview, assessment, portfolio, reference or screening stages are part of the hiring process?
Decision analysis
What the listing really tells you
Principal Product Builder, Data at Apollo.io becomes easier to judge once compensation has enough depth for comparison, work-location flexibility has usable detail, and the application route gives a few useful clues are viewed together. Here is the current read from the information available.
Compensation has enough depth for comparison
The annualized midpoint sits near the 83th percentile within 66 comparable USD salary observations. Treat that as current advertised-pay context rather than a forecast of take-home or total compensation.
Work-location flexibility has usable detail
The work-location pattern is “Remote with some uncertainty or restrictions”, with Remote Freedom at 62/100. The most important location constraint is geographic eligibility is restricted to a country or region..
The application route gives a few useful clues
Provider-mediated application path. The external application may contain additional steps that are not visible from the listing itself.
The listing can be traced to a current source
1 recent enabled source can currently renew this vacancy across 1 source classes. That improves traceability, although it does not verify the employer itself.
How this analysis is assembled
The brief pulls together the parts of the vacancy that can be compared reliably today. Gaps in the listing remain visible instead of being filled with assumptions.
Analysis evidence coverage
How much analysis can the current evidence support?
Uses the explainable High Pay Score within the job’s current occupation/seniority/currency comparison sample.
Measures observable location flexibility and explicit restrictions; it does not determine whether remote work is personally desirable.
The configured source supplied structured salary fields, a usable currency and a focused comparison value.
The listing was posted about 1 days ago.
At least one enabled source recently observed the vacancy. The source chain is traceable, but this is not independent employer verification.
There is no universal opportunity score because pay, flexibility and access matter differently to different people. Compare Jobs lets you weight the evidence around your own priorities.
Decision checklist
What is supported, uncertain or worth checking?
This checklist separates supported strengths, visible cautions and missing evidence. It is not an overall recommendation or guarantee that the job is suitable for you.
Supported strengths
- Advertised pay is above much of the current comparable disclosed-salary sample.
Visible cautions
- Geographic eligibility is restricted to a country or region.
- Some compensation may be variable or performance-based. Confirm the guaranteed base amount before comparing headline pay.
- This is remote work with a geographic restriction, not a worldwide-remote vacancy.
Still unknown
- Visa sponsorship is not established by the available listing data.
Pay vs. barriers
Strong pay with stated barriers to weigh
Pay compares strongly, but qualification or location constraints are also visible. Higher pay does not erase those practical requirements.
Comparable disclosed-pay evidence places this job at about 83 / 100 within its current occupation/seniority sample.
1 explicit Remote Freedom restriction signal is present and is shown separately from qualification requirements.
- Education requirement is not established.
- Required prior-experience level is not established.
This section weighs pay context against clearly stated barriers without collapsing unlike requirements into one universal score. Degree, experience, licensing, clearance and location limits remain separate, and missing qualification details stay unknown.
Beyond the headline
Not enough evidence for a hidden-value finding
Potential hidden value appears only when several distinct non-pay advantages are actually supported. Missing requirements or benefits are never counted as positives.
The annualized salary midpoint is at or above about 83% of the current comparable disclosed-salary sample.
Still check: The current application path is provider-mediated rather than directly classified as an employer-authorized or official route.
Hidden Value is an experimental evidence summary, not an investment-style score or guarantee of employability. It only uses explicit current listing evidence and does not infer that an unmentioned qualification is unnecessary.
Explainable opportunity highlight
Why this opportunity stands out
These are supported signals from the current listing and comparison sample—not a guarantee that this is the best job for you.
Its annualized salary midpoint is at or above about 83% of the current comparable disclosed-salary sample.
The source provides structured salary information with a comparatively focused range, improving the usefulness of pay comparisons.
The listing was posted about 1 days ago.
Compensation intelligence
How competitive is this pay?
Above-market pay in current sample
The annualized midpoint is above the 75th percentile boundary of the current comparable sample.
The highlighted band is the middle 50% of the current comparable sample after the outlier guard. The dark marker is this job’s annualized salary midpoint.
Why this analysis?
- This score reflects the current advertised-pay distribution for comparable active jobs in the same currency. It measures pay position, not overall job quality.
- Salary confidence: High. The configured source supplied structured salary fields, a usable currency and a focused comparison value.
- Range quality: Focused salary range.
Employer compensation communication
Pay transparency at Apollo.io
Very strong current pay transparency
This score uses the employer’s current visible listings and combines how often pay is disclosed with how useful those ranges are. Bonus, equity and benefit mentions are shown separately and do not raise the score.
This pattern comes from the employer’s current visible vacancies. It describes hiring and pay transparency in those listings, not employee satisfaction or a permanent judgement of the employer.
Current employer intelligence
Apollo.io — current opportunity snapshot
Employer Evidence Profile
How often this employer’s current visible sampled vacancies state decision-critical information. These percentages describe evidence coverage, not employer quality.
Current sampled listings with advertised compensation evidence.
Current sampled listings whose work arrangement is clearer than unknown.
Current sampled listings with a supported country signal.
Current sampled listings with an explicit closing time.
Current sampled listings with a usable posting date.
Current sampled listings that explicitly indicate confirmed, possible or unavailable sponsorship evidence.
Current sampled listings with an explicit relocation signal.
Low coverage means the current visible listings state the information less often. It does not prove that the employer lacks the policy, benefit or support.
Common current occupation families: Sales (3) · Executive (3) · People Hr (1)
Visible seniority mix: Senior / lead (7) · Leadership (8)
Current employment-type mix: Full time (15)
Most visible hiring countries in this sample: United States (14) · Poland (1)
Other current roles from this employer
Sales Recruiter
USA
Senior / lead · Region-restricted remotePeople Systems and Solutions Manager
USA
Senior / lead · Region-restricted remotePartner Manager, AI Ecosystems
USA
Senior / lead · Region-restricted remotePartner Development Manager
USA
Senior / lead · Region-restricted remoteThese are other current vacancies visible from the same employer, not endorsements or evidence of future hiring plans.
Current disclosed salary medians by currency
- USD 211,250 median · 14 disclosed salaries
Questions worth asking this employer
- If work authorization matters to you, what sponsorship policy applies to this specific role and location?
- If a move is required, is relocation assistance available for this position?
- What is the expected application and interview timeline if the listing does not state a closing date?
These questions are prompted by missing or thin evidence in the employer’s current visible vacancies. Missing evidence is not treated as a negative judgement.
This employer snapshot uses the employer’s current visible listings. Remote and sponsorship rates use only vacancies with explicit evidence, while missing information stays unknown. Salary medians are shown separately by currency and need at least five disclosed salaries. Zero confirmed sponsorship means none was explicitly found in this sample, not that sponsorship is unavailable.
This snapshot describes the employer’s current visible vacancies—things such as pay disclosure and work arrangement. It is not an employee-satisfaction or hiring-quality rating, and different currencies stay separate.
Work-location intelligence
Remote Freedom
Remote with some uncertainty or restrictions
Why this score?
- The role is remote but the source identifies a country or regional restriction.
Location restrictions detected
- Geographic eligibility is restricted to a country or region.
Remote Freedom measures observable location flexibility only. Unknown work-location information remains unscored. Timezone wording is penalized only when it appears restrictive; general collaboration across time zones is not treated as a restriction. A score does not guarantee legal work eligibility, payroll availability or visa sponsorship.
International applicant intelligence
Visa & relocation signals
Sponsorship status is shown only when the listing provides clear enough wording. Employer history or headquarters location is not used to guess an answer.
The available listing details do not contain a clear enough sponsorship statement.
The available listing details do not contain a clear enough relocation statement.
Tradeoff check
What’s the catch?
These are visible conditions worth checking before treating the headline compensation as the whole story:
- Some compensation may be variable or performance-based. Confirm the guaranteed base amount before comparing headline pay.
- This is remote work with a geographic restriction, not a worldwide-remote vacancy.
Current alternatives
Better-paying alternatives
These current roles show a materially higher annualized salary midpoint in the same broad occupation and currency. Similar seniority, country, work arrangement, employment type and recency are preferred where possible; higher pay alone does not make an alternative a better fit.
Principal Engineer, Product Engineering
1Password · Canada, USA
Region-restricted remoteWhy comparable: Same seniority band · Same country · Similar work-location arrangement
Associate General Counsel, Ads Product
Reddit · USA
Region-restricted remoteWhy comparable: Same seniority band · Same country · Similar work-location arrangement
Product Manager
Headway.co · USA
Region-restricted remoteWhy comparable: Same seniority band · Same country · Similar work-location arrangement
Alternatives are drawn from the current inventory rather than presented as application recommendations. A pay difference needs to be meaningful—about 3% or more at the midpoint—and different currencies are not compared.
Application-path intelligence
What can we see about the application process?
Provider-mediated application path
The current application path comes through a publisher or aggregator. The destination may still lead to an employer-authorized hiring system, but that is not clear enough to assume.
Current destination: jobicy.com · HTTPS
No additional required application step is clear in the available listing text. This does not mean the external application is one-click or friction-free.
Application effort is estimated from visible listing and source details. Optional steps are kept separate from mandatory ones, and the external form may contain additional requirements that are not visible here.
Application safety context
Application safety check
Basic application-safety context available
The current application destination has a basic transport-safety signal such as HTTPS. This does not verify the employer, vacancy, recruiter or application process.
Evidence checked: Source provenance · Application destination · Listing wording
Observable transport-safety signals
- The available application destination uses HTTPS.
Before you share money or sensitive information
- Confirm the vacancy on the employer’s official careers site when practical, especially if a recruiter contacts you outside the listed application path.
- Check that recruiter email domains and application destinations are consistent with the employer or an identifiable recruiting provider.
- Do not pay application, processing, training or equipment fees merely to be considered for a job.
- Do not send cryptocurrency, gift cards, online-banking credentials or PINs as part of an application.
- Treat unusually fast offers or interviews conducted only through informal messaging channels as reasons to verify the employer independently.
This is a limited safety screen, not employer verification and not a fraud determination. Never send money, cryptocurrency, passwords or sensitive banking credentials merely because a listing appears on a job platform.
Original listing details
The section below comes from the listing source. The decision sections above use the job’s structured pay, location, qualification, mobility and application details to give you additional context.
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.
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!
Listing provenance
Where did this job come from?
See where this vacancy came from and whether more than one current source can still support it. Source names help with traceability and attribution; they are not endorsements or guarantees.
At least one enabled source recently observed the vacancy. The source chain is traceable, but this is not independent employer verification.
- Continuity
- One recent renewable source
- Source-class independence
- One renewable source class
- Last source observation
- Observed in the past 3 days
This records when High Paid Job last observed the vacancy in source evidence. It confirms source presence, not that the employer edited the vacancy at that time.
- 1 enabled source recently observed this vacancy.
Source confidence is about traceability and continuity. It is separate from application safety and should not be read as an employer reputation rating.
The vacancy is supplied by an external job publisher. Source information helps show where the listing came from; it is not a guarantee about the employer or vacancy.
Listing source: Jobicy. Destination: jobicy.com. The application opens in a new tab so you can keep this report open.