Staff Product Manager, Data Platform (AI)

Location: Bellevue, New York, or San Francisco, United States.

Base salary: $201,400–$251,800 USD per year.

Company

hirify.global is a global technology company and independent digital advertising platform helping brands and agencies reach audiences across streaming TV, podcasts, mobile apps, news, and the open internet.

What you will do

• Set the vision, multi-year strategy, roadmap, priorities, tradeoffs, and success measures for the data platform.
• Partner with product, engineering, data science, analytics, and business leaders to identify shared data needs and platform gaps.
• Work with engineering on data ingestion, batch and streaming processing, storage, discovery, querying, serving, and platform architecture.
• Define expectations for data quality, freshness, discoverability, access, reliability, documentation, and self-service workflows with governance and security teams.
• Break long-term investments into useful increments, coordinating migrations, dependencies, adoption, and improvements to existing foundations.
• Measure platform impact through delivery speed, onboarding time, reuse, reliability, cost efficiency, usage data, and platform-user feedback.

Requirements

• 6+ years of product management experience, including substantial experience building data platforms, infrastructure, or technical products at scale.
• Experience leading initiatives across multiple teams from strategy through delivery and adoption.
• Exceptional communication and organizational influence, including the ability to explain complex technical ideas, write strategy and requirements documents, build investment cases, and align directors, VPs, and technical leaders without formal authority.
• Experience setting a platform vision and strategy and translating cross-product or cross-business needs into a coherent roadmap for shared capabilities.
• Deep technical fluency in data ingestion, batch and streaming processing, storage and query systems, data modeling, APIs, schema evolution, and downstream dependencies.
• Ability to reason about throughput, latency, reliability, scalability, flexibility, performance, and cost tradeoffs with engineers.
• Strong SQL skills and comfort exploring datasets, investigating data-quality issues, and testing assumptions with evidence.
• Understanding of data definitions, granularity, lineage, and freshness, plus a product mindset for internal platforms, developer experience, adoption, judgment, and independent execution.

Nice to have

• Background in software engineering, data engineering, analytics engineering, or a similarly technical discipline.
• Experience with digital advertising, programmatic platforms, or other businesses where high-volume data systems are central to the product.
• Experience preparing data platforms for AI and agent-driven workflows, including making data discoverable, interpretable, and securely accessible to models and agents.
• Experience leading platform migrations, consolidating fragmented data systems, or evaluating whether to build, buy, or extend foundational capabilities.

Culture & Benefits

• Culture centered on trust, ownership, intellectual honesty, diverse perspectives, curiosity, learning, and principled decision-making.
• Comprehensive medical, dental, and vision healthcare with premiums paid in full for employees and dependents.
• 401(k) retirement plan with company match, disability coverage, basic life insurance, well-being benefits, and tuition reimbursement.
• Parental leave, sick time, paid vacation for full-time employees, and approximately 13 paid holidays per year.
• Eligibility for stock-based compensation and access to a discounted employee stock purchase plan; variable compensation may also apply depending on the role.