Senior PM, Data Platform & Intelligence

Invoca

Seattle (WA)

Remote

USD 139,000 - 200,000

Full time

3 days ago
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Benefits offered by this job

Stock options
Health benefits
401(k) match
Paid holidays
Wellness subsidy
Paid family leave
Paid medical leave

Job summary

Invoca is seeking a Senior Product Manager, Data Platform & Intelligence, to own the roadmap and execution for its data and context layer and the intelligence products atop it.

You will collaborate with data engineers, ML teams, and product teams to define pipelines, signals, and insights while balancing freshness, coverage, latency, and cost to drive value for internal teams and paying customers.

Qualifications

  • 5+ years in product management, data platforms, or AI infrastructure.
  • Fluent with data modeling, pipeline design, and schema evolution.
  • Experience with data lake/warehouse platforms (Snowflake/BigQuery/Redshift).
  • Built intelligence products (signals, scores, insights) used internally and by customers.
  • Strong ability to translate data concepts to engineering and business stakeholders.

Responsibilities

  • Own end-to-end roadmap for data platform and intelligence products.
  • Define and launch signals, scores, and insights delivering measurable value.
  • Structure and deliver context to AI agents across channels and platforms.
  • Own data products used by teams and customers to build experiences on Invoca data.
  • Drive cross-team execution and manage dependencies to unblock work.
  • Build data applications on the data lake powering business use cases.

Skills

Data platforms
AI infrastructure
Analytics products
Intelligence products
Data lake
Data modeling
Cross-team collaboration

Education

Bachelors or Masters in CS/DS/Business

Tools

Snowflake
BigQuery
Redshift

Job description

Invoca is seeking a Senior Product Manager, Data Platform & Intelligence, to own the roadmap and execution for its data and context layer and the intelligence products atop it.

You will collaborate with data engineers, ML teams, and product teams to define pipelines, signals, and insights while balancing freshness, coverage, latency, and cost to drive value for internal teams and paying customers.

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