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3 дня назад

Senior Data Product Manager (AI)

175 000 - 215 000$
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
Senior Data Product Manager (AI/Data): Building and refining healthcare data assets, products, algorithms, and AI-powered capabilities for a MedTech platform with an accent on customer discovery, data product development, and LLM integration. Focus on prototyping scalable solutions, operationalizing data products with engineering teams, and balancing technical constraints, business priorities, and measurable outcomes.

Location: Boston or remote within the US; remote employees participate in 4–5 in-person company or team on-sites per year. An eligible US work permit is required.

Base salary: $175,000–$215,000 per year, varying by location, scope, complexity, experience, expertise, and market data.

Company

hirify.global is an AI-powered MedTech platform that combines healthcare data and software to help medical technology companies identify markets, understand product usage and outcomes, and find growth opportunities.

What you will do

  • Own a data product area end to end, from customer problem discovery and product vision through prioritization, acceptance criteria, delivery, and outcome measurement.
  • Prototype, test, and deliver data products and algorithms with engineering and cross-functional teams.
  • Partner with customers, product marketing, and data teams to identify unmet needs and create scalable software products.
  • Integrate AI, LLMs, and automation into workflows and product capabilities where they create user value and differentiation.
  • Collaborate with data, machine learning, and analytics engineers to operationalize and harden data products and tooling.
  • Drive the roadmap, communicate goals clearly, balance short- and long-term priorities, and own key product and business metrics.

Requirements

  • 5+ years of product management experience, ideally in vertical B2B, with a record of managing and shipping software products.
  • 1+ year leading and building AI solutions.
  • Experience building complex data products as part of a cross-functional team.
  • Practical, hands-on technical experience, including digging into data, building code with AI tools, and tracking metrics.
  • Strong understanding of product discovery, prioritization, metrics, user feedback loops, and go-to-market alignment.
  • Experience delivering AI-powered features and a realistic understanding of LLM capabilities and limitations.
  • Ability to make tradeoffs in ambiguous environments while handling technical constraints, business priorities, and differing perspectives.
  • Clear, concise written and verbal communication, strong attention to detail, and ability to use data to tell stories.
  • Curiosity, customer empathy, bias toward action, and comfort solving difficult problems and making prioritization decisions.

Nice to have

  • Experience building healthcare-specific data products with cross-functional teams.
  • Product management experience with vertical growth-stage AI solutions.
  • Experience with LLM integration, data-driven solutions, or complex user roles and personas.
  • Ability to build prototypes with tools such as Claude Code.
  • Deep interest in understanding and empathizing with datasets before using them.
  • Previous mentorship or leadership experience in product management roles.

Culture & Benefits

  • Remote-first work across the US, with optional office attendance near the Boston hub and periodic in-person collaboration.
  • Learning and upskilling budget, work-from-home support, and a $1,000 home office stipend with WiFi reimbursement.
  • Flexible PTO and working hours.
  • 100% paid health, dental, and vision plans for employees; 75% paid coverage for dependents.
  • Fully paid flexible parental leave of 8–16 weeks.
  • Collaborative, inclusive culture focused on mentorship, empathy, learning, and solving difficult customer problems.

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