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2 часа Π½Π°Π·Π°Π΄

Product Manager, Data Products (AI)

Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
remote (Ρ‚ΠΎΠ»ΡŒΠΊΠΎ USA)
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
senior
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
US
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

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TL;DR
Product Manager, Data Products (AI): Owning and scaling Data-as-a-Service products that enrich first-party records and deliver consumer intelligence through data shares, clean rooms, APIs, marketplaces, and integrations with an accent on product strategy, AI/ML applications, pricing, privacy, and distribution. Focus on translating data capabilities into roadmaps, managing agile engineering delivery, navigating regulated data constraints, and measuring launch performance to guide investment decisions.

Location: United States; remote-first with occasional travel for company and client events

Requirements

  • 5+ years of product management or product ownership experience in data products, martech, or adtech.
  • Experience taking products from requirements through launch and adoption, including data enrichment or appends against first-party records.
  • Experience with large-scale data delivery through file transfer, data sharing, clean rooms, or APIs.
  • Working knowledge of AI/ML workflows, technologies, and architectures, plus identity resolution and consumer data ecosystems.
  • Familiarity with licensed consumer data privacy, state privacy laws, opt-out handling, and regulated categories.
  • Fluency in agile product delivery, backlog management, sprint ceremonies, Jira, and writing product specifications and vision documents.

Nice to have

  • Experience with data marketplaces, self-service trials, pricing and packaging for data products, or audience activation in paid channels.
  • Hands-on experience with AWS, Snowflake, Databricks, or clean room environments.
  • Experience in regulated verticals, especially financial services.
  • Familiarity with agentic frameworks and MCP server-based data access.

What you will do

  • Own the vision, roadmap, business case, success metrics, and lifecycle of products in the Data-as-a-Service suite.
  • Translate product strategy into requirements and user stories while managing the backlog, refinement sessions, and sprint ceremonies with engineering.
  • Work with data science and engineering to apply AI and machine learning while evaluating technical and product trade-offs.
  • Own pricing, packaging, and distribution through data marketplaces, self-service trials, partner integrations, and MarTech channels.
  • Partner with Legal and Engineering to ensure compliant delivery of licensed data, including opt-out handling and regulated-category constraints.
  • Bring products to market with Marketing, Sales, and Customer Success, then track launch performance and guide future investment decisions.

Culture & Benefits

  • Remote-first work environment with flexible collaboration across locations and intentional in-person collaboration when needed.
  • Opportunity to work on AI-powered marketing data and identity products used by enterprise customers.
  • Competitive 401(k) match and an Open PTO policy.
  • Comprehensive benefits package for employees and their families.
  • Company headquartered in Reston, Virginia, with offices in New York City and Washington, D.C.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’