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Talkiatry

Telehealth psychiatry services covered by insurance

Senior Data Product Manager

Technical Product ManagementConfirmed live in the last 24 hours
Full-timeRemote in USA$150k - $187k /yrRemote

About the Job

Requirements

  • At least 4 years of product management experience, including at least 2 years on data platforms, data products, or data infrastructure.
  • Working fluency with the modern data stack, including ELT, cloud warehousing, transformation, orchestration, business intelligence and semantic layers, and reverse ETL.
  • Ability to read and write SQL and independently reason about grain, joins, duplication, and completeness.
  • Experience leading complex product initiatives across multiple teams and systems.
  • Experience owning metric definitions and governance, including resolving competing definitions across teams.
  • Track record of building self-serve data capability for non-technical teams and measurably reducing ad hoc request volume.
  • Experience writing accurate, concise, and up-to-date product documentation for Engineering and Design handoffs and stakeholder reviews.
  • Ability to develop product strategy, prioritize effectively, and execute against long-term roadmaps.
  • Strong interest in AI-driven products and ability to identify practical AI applications.
  • Familiarity with AI concepts and technologies, including automation, large language models, and decision-support systems.
  • Experience working across interconnected systems and understanding technical dependencies, integrations, and operational trade-offs.
  • Strong product judgment and ability to navigate ambiguity in complex problem spaces.
  • Ability to clearly articulate priorities, trade-offs, and strategic rationale.

Responsibilities

  • Lead product strategy and execution for the data platform, third-party integrations, and end-user data enablement.
  • Develop and maintain a long-term roadmap for the data stack, metrics layers, proprietary data models, and data-user AI capabilities.
  • Own third-party integrations across referrals, billing, marketing, and clinical systems.
  • Own data quality and reliability as product requirements, with validation, monitoring, and alerting to catch problems early.
  • Identify where AI and automation add value to end data users.
  • Put analytics, attribution, and segmentation directly in the hands of Marketing, Operations, and Finance without engineering dependencies.
  • Balance short-term operational priorities with long-term platform investments and scalability goals.
  • Lead cross-functional collaboration with Engineering, Design, Data, Clinical, and Operations partners to deliver complex initiatives.
  • Anticipate dependencies across interconnected systems, drive alignment, and break ambiguous problems into prioritized opportunities.
  • Define success metrics, establish measurable goals, and use data to evaluate product impact and inform strategic decisions.
  • Break down complex operational and systems challenges into actionable product opportunities.

About the Company

Talkiatry

Telehealth psychiatry services covered by insurance

Talkiatry provides telehealth psychiatry services covered by insurance. It matches clients with psychiatrists from its team after an online assessment, enabling first virtual visits within days. Revenue comes from insurance companies for the services, helping more people access mental healthcare without out-of-pocket costs. The platform emphasizes convenient, empathetic care delivered by an expert-led, diverse clinical team. Its goal is to make mental health care accessible and affordable by connecting patients to insured, virtual psychiatric care quickly.

Company size
501-1,000
Company stage
Series D
Total funding
$473M
Headquarters
New York City, New York
Founded
2019

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