AI product manager for payroll platforms

The AI Product Manager (AI PM) at Mercans plays a pivotal role in driving the vision, development, and delivery of AI-powered capabilities within the global payroll SaaS platform, including AI agents, conversational assistants, and intelligent automation. The AI PM leads strategic product planning, execution, and continuous improvement across these capabilities, ensuring alignment with business goals, customer needs, and market trends.

• Own the product vision, roadmap, and delivery strategy for AI-powered capabilities across the platform, ensuring alignment with business objectives, customer priorities, and market trends.
• Translate business needs into epics, features, and backlog stories with clear acceptance criteria and traceability.
• Lead product delivery from discovery through release, ensuring quality, adoption readiness, and continuous feedback loops.
• Analyze market trends, emerging AI technologies, competitive offerings, and customer feedback to identify product gaps and innovation opportunities.
• Define and deliver unique, forward-looking AI features that serve as clear unique selling points (USPs) and enhance Mercans’ market positioning.
• Collaborate with Marketing and Commercial teams to develop positioning frameworks, competitive battle cards, and feature differentiation collateral.
• Own the strategic direction and roadmap for AI-powered capabilities across Mercans’ payroll platform, including AI agents that support payroll processing and conversational assistants that support employees, HR teams, and administrators.
• Translate business needs into clear product requirements for AI agent behavior, chatbot conversation flows, and automation logic, partnering with Data Science and Engineering to bring them to life.
• Prioritize and guide AI-powered features such as anomaly detection in payroll runs, predictive net pay variance, and intelligent error correction, working closely with Data Science to validate what’s feasible and valuable.
• Define what good performance looks like for AI agents and chatbots (accuracy, response quality, appropriate escalation to a human), and partner with Data Science to track it against SLA targets.
• Work with Engineering to define integration requirements so AI agents and chatbots connect cleanly with existing payroll, HR, time, attendance, and finance systems.
• Own the roadmap for evolving legacy rule-based processes toward more configurable, AI-assisted workflows, in partnership with Engineering.
• Collaborate with customer-facing teams to localize AI agent and chatbot behavior for different markets, white-label, and reseller use cases.
• Champion the modularization of the platform, enabling scalable, repeatable delivery models for multi-tenant, enterprise, and mid-market clients.
• Define reusable product components, configuration templates, and conversation or automation building blocks to support faster deployments and higher configurability.
• Partner with Engineering and Implementation to architect scalable platform modules.
• Collaborate with Customer Success/BAU Managers (CSMs) to ensure successful feature onboarding, usage optimization, and value realization.
• Participate in QBRs, onboarding workshops, and strategic client conversations to align roadmaps with client outcomes.
• Address client escalations tied to product functionality, proactively mitigating risks and ensuring follow-through on corrective actions.
• Provide enablement tools including training guides, troubleshooting workflows, usage dashboards, and support documentation.
• Define product features and APIs to support white-label clients, resellers, and channel partners.
• Deliver integration toolkits, configuration documentation, and reusable interface specifications to support scalable partner implementations.
• Collaborate with Business Development to align platform capabilities with co-sell and co-delivery models.
• Define business and technical requirements for third-party integrations (e.g., HRIS, WFM, ERP, finance systems).
• Manage the lifecycle of public APIs and embedded integrations, ensuring SLAs, security standards, and extensibility.

• Bachelor’s degree in Business, Computer Science, Information Systems, or a related field from a recognized and accredited institution.
• Minimum 10 years of progressive experience in product management within B2B SaaS environments, with at least 5 years in a senior or strategic product leadership role.
• At least 3 years of experience as a product manager delivering AI-powered features (e.g., AI agents, chatbots, recommendation or automation capabilities), with a solid understanding of how these products are built, tested, and improved.
• Working knowledge of AI/ML concepts such as predictive modeling, natural language processing, and anomaly detection, sufficient to write clear requirements and collaborate effectively with Data Science and Engineering.
• Proven experience delivering compliance-sensitive product features across globally distributed platforms, including coordination with cross-functional teams (Compliance, QA, Security, Engineering).
• Working familiarity with APIs, platform architecture concepts, and data integration patterns with systems such as HRIS, ERP, and WFM, enough to write clear technical requirements.
• Demonstrated expertise in Agile product development, including backlog management, epic/story creation, sprint planning, and roadmap ownership.
• Ability to translate business and compliance requirements into scalable, customer-centric product solutions with traceable outcomes.
• Будет плюсом: Master’s degree (MBA or MS) in Product Management, Innovation, Technology Leadership, or Business Strategy; Familiarity with AI agents, conversational AI/chatbot design, and generative AI trends in enterprise SaaS; Experience working with cross-functional teams on model governance and responsible AI practices; Familiarity with data privacy and information security frameworks such as GDPR, ISO 27001, SOC 2, and data residency controls; Background in monetization strategy, including feature packaging, usage-based pricing, and cost-to-serve modeling; Prior success in building or scaling white-label SaaS products, reseller enablement models, and partner-centric platforms; Professional certifications such as PMP, SAFe® Product Manager/Product Owner (PM/PO), Certified Scrum Product Owner (CSPO), or Pragmatic Institute PMC certification

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