TL;DR
Senior Technical Product Manager, Data Infrastructure: Defining and leading the product vision for hirify.global’s internal data platform with an accent on metadata management, data classification, observability, and identity resolution. Focus on collaborating with engineering and data teams to deliver scalable, reliable data pipelines and platform services, ensuring adoption and tracking impact on data availability and trust.
Location: Hybrid in New York City, working from home on Monday and Friday and in the office Tuesday through Thursday.
Salary: $160,000–$195,000 (base salary in NYC)
Company
hirify.global is a leading technology company that helps C-suites reach and influence business-critical decision makers by mapping social relationships using publicly available data.
What you will do
- Define and lead the product vision for hirify.global’s internal data platform, including capabilities such as metadata management, data classification, observability, and identity resolution.
- Own the product roadmap and prioritization process in close collaboration with engineering, analytics, data scientist, and legal teams.
- Translate data consumption/creation, internal use cases, and stakeholder feedback into clear, structured product requirements.
- Partner with Data Engineering to deliver scalable, reliable data pipelines and platform services using technologies such as Snowflake, Databricks, Airflow, and dbt.
- Guide adoption of data infrastructure and tooling across teams by ensuring it meets the needs of data producers and consumers alike.
- Define and track success metrics that demonstrate impact on data availability, trust, usability, or activation.
Requirements
- 6+ years of experience in product management, with at least 3+ years focused on data platforms, infrastructure, or enterprise SaaS environments.
- Experience owning platform, infrastructure, or customer data products in a data-rich environment.
- Proficiency in SQL—enough to engage meaningfully with technical stakeholders and dive into data use cases.
- Strong technical background with working knowledge of AWS, Snowflake, dbt, and cloud-native data architectures.
- Proficiency in Agile development practices and tools—roadmapping, story writing, backlog grooming, and sprint planning.
- Deep understanding of data governance, including data security, privacy regulations, and compliance standards.
Nice to have
- Familiarity with data observability platforms or privacy and compliance frameworks.
- Prior experience as a software or data engineer.
- Experience with AI/ML workflows.
Culture & Benefits
- Hybrid work model: Monday and Friday remote, Tuesday through Thursday in hirify.global’s New York City office.
- Comprehensive compensation package including base salary, annual cash bonus, and generous equity compensation.
- Work with a fast-growing, cashflow-positive company, recognized for its rapid growth and influential client base.
- Opportunity to collaborate with a senior leadership team from top-tier organizations and prominent investors.
- Contribute to a platform used by hundreds of industry-leading clients spanning Fortune 500 companies and major agencies.
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