Senior Product Manager, AI/ML

Location: Hybrid role based in Boston, Massachusetts, with office attendance required on Tuesdays, Wednesdays, and Thursdays.

Annual base salary: USD 170,013–194,663, with potential additional equity, bonuses, commissions, and benefits.

Company

hirify.global is an online home retail platform that builds technology for customers, suppliers, marketplace operations, and commercial decision-making.

What you will do

• Own the product vision, strategy, roadmap, and execution for pricing and profit optimization products.
• Partner with Applied Scientists, Data Scientists, ML Engineers, Engineering, Analytics, Finance, and commercial stakeholders to launch pricing models and decision systems.
• Incorporate competitor intelligence, demand, forecasting, and marketplace signals into commercial decision-making.
• Define and monitor KPIs, health metrics, and OKRs covering revenue, contribution profit, conversion, margin, and supplier economics.
• Translate complex scientific and technical concepts into product requirements, decision frameworks, and stakeholder communications.
• Ensure model-driven pricing systems are observable, explainable, trustworthy, and equipped with appropriate controls.

Requirements

• 7+ years of experience building software, platform, data, or algorithmic products with measurable impact.
• Experience owning roadmaps and outcomes for data-, experimentation-, or algorithm-driven products.
• Strong analytical skills, including defining metrics, analyzing large datasets, and making quantitative decisions.
• Experience collaborating with Data Scientists, Applied Scientists, and ML Engineers on problem formulation, success metrics, and experimentation.
• Excellent product ownership, communication, stakeholder management, and cross-functional leadership skills.
• Ability to work in an ambiguous, fast-paced environment and drive initiatives from discovery through launch and iteration.

Nice to have

• Experience in pricing, revenue management, marketplace dynamics, ad tech, or AI- and economics-heavy domains.
• Familiarity with A/B testing, statistical reasoning, and interpreting model and experiment results.
• Experience with machine-learning products involving ranking, prediction, optimization, or decision systems.
• Experience in e-commerce, retail, marketplace, supplier-facing, or B2B platforms.
• Bachelor’s degree in a technical or quantitative field, or equivalent practical experience.

Culture & Benefits

• Collaboration across product, engineering, science, analytics, finance, and commercial teams.
• Opportunities to work on products with direct impact on customer prices, supplier economics, and company profitability.
• Comprehensive medical, financial, and additional employee benefits.
• Potential equity, bonuses, commissions, and other compensation depending on the position offered.
• Equal-opportunity workplace with reasonable accommodations available for qualified individuals with disabilities.