Sr. Product Manager, Central Data (AI)

TL;DR

Sr. Product Manager, Central Data (AI): Leading product strategy for the Central Data pillar with an accent on AI-driven efficiencies, cloud infrastructure (AWS/GCP), and data governance. Focus on implementing an AI-first product roadmap and reducing cognitive load for thousands of engineers through intelligent automation.

Location: Flexible hybrid (USA)

Salary: $120,750 - $251,250 per year

Company

hirify.global operates thousands of global-scale services, shifting towards an AI-augmented ecosystem to drive speed and reliability.

What you will do

• Lead product strategy within the Central Data pillar, focusing on AWS and GCP native services.
• Implement AI-assisted workflows to replace manual feedback analysis and documentation.
• Drive initiatives for data governance, quality, and reliability across all downstream consumption.
• Use generative AI tools to synthesize customer insights and accelerate MVP definition.
• Define and execute an AI-first product roadmap integrating autonomous agents for platform performance.
• Collaborate with engineering, finance, and procurement to balance cost, feasibility, and speed.

Requirements

• B.S./M.S. in Computer Science, Engineering, Statistics, or equivalent technical experience.
• 4+ years of product management experience in data management, cloud infrastructure, or distributed systems.
• 7+ years of total industry experience in software services.
• Proficiency in AI productivity tools such as Gemini, ChatGPT, Claude, or GitHub Copilot.
• Technical depth in cloud services (AWS/GCP), Data services, and modern architectural patterns.
• Experience with big data technologies like Hadoop, Spark, or equivalent.

Nice to have

• Experience with prompt engineering or structured interaction with AI models.
• Deep understanding of Machine Learning (ML) platforms and Big Data ecosystems.

Culture & Benefits

• Flexible hybrid work options.
• Comprehensive healthcare and 401k plans.
• Backup childcare and education stipends.
• Inclusive environment with 11 employee resource groups (ERGs).