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4 дня назад

Product Manager - Data Platform (AI)

151 000 - 189 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Product Manager - Data Platform (AI): Owns the strategy for a data platform that stores, processes, queries, and federates observability data across clouds, regions, and customer-owned storage with an accent on AI-driven querying, data sovereignty, and platform economics. Focus on shaping distributed data capabilities, defining metrics and pricing, driving streaming and at-rest processing, and aligning engineering, architecture, finance, sales, and marketing.

Location: Remote role associated with Atlanta, Georgia; Charlotte, North Carolina; Chicago, Illinois; and Portland, Oregon, USA.

Salary: $151,000–$189,000 USD annual base pay, plus eligibility for a corporate bonus plan.

Company

hirify.global develops an observability platform that helps companies monitor and optimize complex digital applications in an AI-first environment.

What you will do

  • Own the vision, strategy, roadmap, and business outcomes for the Dirac data platform.
  • Define storage, retention, tiering, pricing, query, and at-rest processing capabilities for data at large scale.
  • Shape NRQL, SQL, and AI-driven natural-language querying for engineers, analysts, and AI agents.
  • Lead federation across clouds, regions, and customer-owned storage, including data sovereignty and residency capabilities.
  • Use customer research, platform metrics, unit economics, and cost data to guide product decisions.
  • Partner with engineering, architecture, design, finance, sales, and marketing to deliver platform initiatives and launches.

Requirements

  • Bachelor’s degree or equivalent practical experience; Computer Science or a related technical background is preferred.
  • 5+ years of product management experience building and launching technical platform, data, or infrastructure products.
  • Strong technical understanding of storage, query engines, distributed systems, and cloud architecture.
  • Hands-on experience using AI and LLM tools for productivity and product development.
  • Ability to analyze qualitative and quantitative data, manage ambiguity, and lead through influence.
  • Visa sponsorship is not available for this position.

Nice to have

  • Experience with databases, data warehouses, lakehouses, or query engines such as ClickHouse, Snowflake, Databricks, BigQuery, Druid, or Elasticsearch.
  • Experience with observability, telemetry data, streaming, or real-time processing systems such as Kafka or Flink.
  • Familiarity with data sovereignty, data residency, regulated environments, or public cloud infrastructure.
  • Experience with usage-based pricing, unit economics, COGS, or enterprise B2B SaaS products.

Culture & Benefits

  • Flexible workforce model supporting fully office-based, fully remote, or hybrid workplaces.
  • Healthcare, dental, vision, parental leave and planning, and mental health benefits.
  • 401(k) plan with company match, flexible time off, 11 paid holidays, and volunteer time off.
  • Inclusive workplace focused on diverse backgrounds, abilities, and professional paths.

Hiring process

  • Employment eligibility and identity verification are required.
  • A criminal background check is required because of customer data stewardship responsibilities.
  • Some roles may require an export compliance assessment.

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