Senior Product Manager (AI)

Location: Hybrid role based in Chicago or Evanston, Illinois, United States, with work from home and on-site presence at clients or hirify.global offices for the majority of the week. Client-facing travel is required as needed.

Salary: $185,000–$197,500 per year, plus potential cost-of-living adjustments, bonuses, leave policies, relocation benefits, insurance, and retirement benefits.

Company

hirify.global is a management consulting and technology firm that combines data, science, technology, and human ingenuity to develop solutions and products for life sciences and healthcare clients.

What you will do

• Own the requirements and delivery roadmap for incentive compensation capabilities such as plan design, sales crediting, eligibility, roster management, data reconciliation, goal-setting, and field support.
• Translate business and client needs into detailed requirements, user stories, acceptance criteria, and buildable product specifications.
• Partner with AI/ML, data engineering, design, architecture, and engineering teams to scope agent-enabled features, tool and data access, evaluation criteria, and auditability.
• Conduct discovery with client incentive compensation and commercial operations stakeholders, prioritize the backlog, and manage requirement changes through delivery.
• Participate in Scrum ceremonies, clarify requirements, resolve ambiguity, and sign off on acceptance criteria.
• Monitor production agent performance, support implementations and migrations, and communicate product decisions, trade-offs, and risks to internal and client stakeholders.

Requirements

• 8+ years of B2B SaaS or enterprise software product management experience, ideally in life sciences, healthcare, or another regulated industry.
• Bachelor’s degree in business, technology, or equivalent practical experience.
• Working knowledge of incentive compensation concepts or the ability to ramp quickly in a complex domain.
• Practical understanding of AI agent development, including tool use, retrieval, orchestration, evaluation, and human-in-the-loop controls.
• Experience writing detailed engineering requirements and user stories, working in Agile environments, and collaborating with engineering, design, data science, professional services, and client success.
• Strong analytical, communication, organizational, and problem-solving skills, with familiarity with APIs, ETL, data contracts, architecture diagrams, data flows, and enterprise integrations.

Nice to have

• MBA or advanced quantitative degree.
• Experience with life sciences commercial data such as Rx, claims, specialty pharmacy, sample, and alignment data.
• Experience mentoring junior product managers or analysts.

Culture & Benefits

• Cross-functional skills development, custom learning pathways, and milestone training programs.
• Internal mobility and career progression opportunities.
• Comprehensive rewards supporting health, well-being, financial planning, time away, and professional development.
• Collaborative work environment with flexible work-from-home and on-site work arrangements.
• Client-facing travel opportunities across different environments and cultures.

Hiring process

• Submit an online application with a full set of official or unofficial transcripts.
• Visa sponsorship is not available; candidates must already have United States work authorization that does not require current or future employer sponsorship.