Senior Product Manager

Role overview

This job description has been rewritten in fresh language using the facts in the listing. Source credit and original listing details are available below.

Rithum is hiring a full-time Senior Product Manager for a remote role in the United States. Its commerce platform serves more than 40,000 companies and supports over $50 billion in annual GMV across hundreds of channels.

You will own the strategy, roadmap, and results for a key area of the platform, working independently on complex, ambiguous problems. The role calls for deep product-domain expertise and regular use of AI tools to support customer research, product discovery, prototyping, analysis, documentation, and delivery. You will guide work from concept through launch and bring engineering, design, and other stakeholders into alignment.

Travel may be required up to 10%. The expected base salary is $135,000–$200,000 per year across U.S. locations; final pay can depend on location, skills, and relevant experience. The expected discretionary bonus for this non-sales role is 10% of annual base salary.

Benefits include medical, dental, and vision coverage with company HSA contributions from the first day; a 6% 401(k) match; paid leave (20 PTO days, nine company-paid holidays, two floating holidays, seven sick days, two wellness days, and one volunteer day, with PTO rising to 22 days after three years and 25 after five); caregiver leave of 12 weeks for primary caregivers and four weeks for secondary caregivers; life insurance at twice salary; accident, critical illness, hospital indemnity, pet, legal assistance, and identity theft coverage; Calm and an Employee Assistance Program; a $65 monthly remote-work internet stipend; tuition assistance, career development, team-building activities, and charitable contribution matching up to $250 per year.

Role at a glance: Remote, full-time Senior Product Manager role at Rithum, owning a commerce-platform product area and using AI to support product strategy and delivery.

Responsibilities mentioned in the listing

• Own the long-term vision, strategy, roadmap, prioritization, and outcomes for a product area, making decisions about scope, sequencing, and trade-offs.
• Use AI tools to synthesize customer interviews, support tickets, and survey feedback into themes and opportunities that inform product priorities.
• Use AI-assisted data exploration, such as natural-language queries, chart interpretation, and anomaly identification, to inform evidence-based decisions.
• Prototype and validate product concepts and workflows with AI tools, including user flows, wireframe descriptions, and low-fidelity mockups, before engineering investment.
• Lead product work from concept to launch, including requirements, prioritization, customer discussions, testing and QA, change management, and customer adoption.
• Use AI to speed up product documentation, including PRDs, one-pagers, and release notes, while maintaining clarity and quality.
• Track development, communicate status to stakeholders, support release cycles, and contribute to testing and validation for high-quality releases.

Qualifications stated in the listing

• At least 3 years of product management experience in SaaS, working on complex enterprise products; e-commerce or marketplace experience is preferred.
• Experience managing AI-powered products, AI workflows, or data and insights platforms.
• Experience across the full product development lifecycle, including setting product goals, measuring results, and quantifying business impact.
• Experience setting strategy and executing for complex, integrated software ecosystems, particularly when unifying multiple platforms.
• Experience supporting team-based projects, aligning work to project goals, and contributing to technical teams.
• Experience using AI tools to turn qualitative research into structured themes, opportunities, or prioritization inputs.
• Experience using AI tools to prototype concepts or workflows before engineering investment, and to accelerate documentation while applying sound editorial judgment.
• Comfort with AI-assisted data exploration and analysis, such as querying datasets in natural language, interpreting charts, or identifying anomalies.