Senior Product Manager I (Cloud Gross Margin & Global Expansion)

Location: Remote within the United States; eligible locations include Poughkeepsie, Lowell, Rochester, Tucson, Research Triangle Park, Armonk, Boston, Bellevue, Atlanta, San Jose, Dallas, Austin, San Francisco, and Seattle. Some travel may be required based on business demand.

Salary: $130,000–$242,000 per year.

Company

hirify.global develops hirify.global Cloud, a cloud data platform operating across AWS, Google Cloud, and Azure, within IBM Software’s hybrid cloud and AI portfolio.

What you will do

• Own the hirify.global Cloud COGS, unit economics, contribution margin forecasting, and shared multi-tenant infrastructure cost allocation models.
• Partner with Infrastructure Engineering to identify, size, prioritize, and deliver cost reductions across compute, storage, and networking.
• Manage cloud procurement economics, including negotiations, savings plans, committed-use discounts, marketplace terms, and commitment burn-down.
• Lead market and regional expansion business cases, define minimum viable deployments, track payback, and recommend scaling, consolidation, or retirement of capacity.
• Set regional and usage-based pricing, margin guardrails, free-tier and promotional-credit economics, and cost transparency across products.
• Review the cost footprint of new products and architecture changes, including edge deployments, multi-region clusters, networking redesigns, AI inference, and GPU-backed capabilities.

Requirements

• Bachelor’s degree required; a master’s degree is preferred.
• 5+ years of experience in product management, FinOps, cloud economics, or a similar role at a B2B SaaS or cloud infrastructure company, with direct accountability for cloud cost or gross margin outcomes.
• Hands-on knowledge of AWS, Google Cloud, and/or Azure billing and cost data, including cost and usage reports, billing exports, cost-management tooling, savings plans, reserved instances, and committed-use discounts.
• Experience building driver-based cost or margin models trusted by Finance and used by Engineering, including shared infrastructure allocation across products or customers.
• Experience creating investment business cases combining demand sizing, fixed and variable cost, and payback analysis for regional launches, capacity investments, or market entry.
• Ability to translate distributed-systems architecture into cost drivers and collaborate credibly with infrastructure engineers on compute, storage, and networking trade-offs.
• Ability to influence Engineering, Finance, Procurement, Data Science, and Sales without direct authority and turn analysis into roadmap, footprint, and pricing decisions.
• Strong analytical skills with advanced Excel or Google Sheets required and SQL required; BigQuery is preferred.
• Clear written and verbal communication, including explaining margin trade-offs to engineers and executives.
• Hands-on use of AI tools for daily research, analysis, and automation.
• Visa sponsorship is not available now or in the future; candidates must be able to work without current or future visa sponsorship.

Nice to have

• FinOps Certified Practitioner or equivalent FinOps Foundation credential.
• Experience with enterprise cloud contracts, including EDP, PPA, and MACC, or cloud marketplace economics.
• Experience launching or expanding cloud services into new regions, including data residency, sovereignty, or regulated-market requirements.
• Familiarity with data streaming or data infrastructure cost structures, including Apache Kafka, cross-zone replication, and tiered storage.
• Experience with usage-based and regional pricing, rating platforms such as Metronome, or deal pricing tools.
• Finance, FP&A, strategy, or consulting experience.
• Computer science or engineering degree, or prior engineering experience.

Culture & Benefits

• Regular daytime schedule with a full-time employment arrangement.
• Healthcare coverage including medical, prescription, dental, vision, and mental health benefits.
• Financial programs including 401(k), pension, stock purchase, insurance, disability coverage, and potential performance-based incentives.
• Paid time off including holidays, sick time, vacation, parental bonding leave, and other paid care leave where applicable.
• AI-driven learning resources, professional certifications, employee resource groups, volunteer opportunities, and product discounts.
• Travel may be required based on business demand.