Principal jobs in United States
Explore 160 matching jobs.
Principal Product Builder, Data
Apollo.io
Posted: 10/20/2026Apollo
Principal PBM Data Integration Lead
Prescryptive Health, Inc.
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Principal – Treasury & Banking
Navitus Health Solutions
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Higgsfield AI
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Principal Creative
Hotel Engine
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CHAOS Industries
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SAIC
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SAIC
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Principal
Crimson Academies
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Verizon
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Principal – Quality, Management & Process
AT&T
Posted: 10/19/2026Principal Scientific Research Expert – Computational Theory, Physics
Gramian Consulting
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Deep Origin
Posted: 10/17/2026New Accounts Supervision Principal – Supervision Principal II
Bank of America
Posted: 10/16/2026Senior Principal, Distribution Optimization
Entegris
Posted: 10/16/2026Principal Advanced Analytics
AT&T
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Principal Investigator – Improper Use of Assets
FINRA
Posted: 10/16/2026Policy Principal – Enabling Building Electrification, Affordability
Advanced Energy United
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Thrivent
Posted: 10/15/2026Principal Project Execution Lead
RTX
Posted: 10/15/2026Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in product management with a focus on data-centric solutions, including strategy development, execution, and leveraging AI-native tools for rapid prototyping. Possesses strong technical fluency in data architecture, APIs, and telemetry to drive product decisions and enhance customer experiences.
Highest-signal resume keywords
Product Management ExperienceAI-Native Tools PrototypingData Privacy UnderstandingData Quality EvaluationB2B Data Products Experience
Tech Stack
Tools & technologiesApollo
About the role
Key responsibilities & impact- Own the product vision, strategy, roadmap, and delivery for Apollo’s core data catalog
- Make Apollo’s data the foundation for the agent, API, and workflow product surfaces
- Prioritize the roadmap with Data Engineering, Research, and Design, aligned to company OKRs
- Build central data telemetry and dashboards measuring catalog breadth, depth, accuracy, and freshness
- Lead the always-on data sourcing operation, including source identification, evaluation, and integration
- Bridge R&D and Partnerships on vendor data sourcing, evaluation, and ongoing relationships
- Collaborate with Engineering on approaches to improve the core data catalog
- Support key customer data initiatives and evaluations with sales and field teams
- Align Product, Engineering, Design, GTM, Support, and Enablement
- Evolve Apollo into a trusted data layer for sales and marketing
- Engage customers, GTM teams, Support, and internal users to identify data gaps and quality or usability issues
- Set strategy for adding new data sources and presenting data across products and customer systems
- Rapidly prototype with AI-native workflows to validate ideas
- Translate complex data pipelines into trustworthy customer experiences
- Lead build-versus-buy-versus-partner decisions for data sources and own business cases
- Partner with Engineering on architecture, reliability, observability, APIs, data models, and edge cases
- Partner with Design to make data provenance, freshness, and confidence visible
- Partner with GTM, Support, and Customer Success on data-quality evaluations
- Define the KPI tree and learning loop; prioritize, measure, and iterate
- Write strategy documents, PRDs, launch plans, and tradeoff memos
Requirements
What you’ll need- 7+ years of product management experience, including ownership of complex data-centric product areas from strategy through launch
- Experience using AI-native tools such as Claude Code, Cursor, Lovable, Figma AI, or similar to prototype, validate, and accelerate execution
- Ability to demonstrate things built or shipped, not just specifications written
- Principal-level ownership across a meaningful product area with company-level visibility
- Strong product judgment and ability to make high-leverage decisions and tradeoffs
- Ability to navigate complex data sources and aggregation processes for a high-availability, performant data catalog
- Ability to design and leverage data-backed telemetry for product decisions
- Understanding of data privacy, GDPR, CCPA, consent, and licensing constraints
- Technical fluency across architecture, reliability, observability, APIs, data models, instrumentation, and edge cases
- Customer empathy for data gaps, stale records, and inaccuracies
- Ability to define, ship, measure, and iterate effectively
- Strong influence and communication skills
- 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, and high-scale data collection and verification
- Experience sourcing, evaluating, and negotiating third-party data vendor relationships
- 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
Benefits
Comp & perks- Equity
- Company bonus
- 401(k) plan
- At least 10 paid holidays per year
- Flex PTO
- Parental leave
- Employee assistance program
- Wellbeing benefits
- Global travel coverage
- Life, AD&D, STD, and LTD insurance
- FSA/HSA
- Medical, dental, and vision benefits
- Resources, support, and autonomy for professional growth
- Cross-departmental collaboration and support
- Flexible experimentation and smart risk-taking culture
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Product StrategyData Catalog ManagementData Telemetry DesignData Aggregation ProcessesData ModelingHigh-Availability SystemsKPI DefinitionData-Backed Decision MakingVendor Relationship ManagementEntity Resolution
Soft Skills
Strong Communication SkillsCustomer EmpathyInfluence and NegotiationHigh-Leverage Decision MakingCollaboration
Tools & Technologies
Claude CodeCursorLovableFigma AIAnalytics ToolsExperimentation ToolsObservability Tools
Industry Keywords
GDPRCCPAData MarketplacesData-as-a-ServiceRevOpsCustomer SuccessData FreshnessRecord MatchingData Quality ImprovementData Sourcing
