Senior Product Manager

Job Description:

• Define and maintain the AI Services strategy, roadmap, and quarterly priorities for agentic workflows, the tool and connector layer, and AI quality infrastructure
• Make trade-off decisions on sequencing, scope, and technical direction, supported by evidence
• Specify multi-step agent behavior, including planning, tool selection, memory, human-in-the-loop checkpoints, fallback paths, and guardrails
• Translate ambiguous business problems into reliable agent designs for finance users
• Own the Model Context Protocol surface and tool-interface roadmap
• Decide which company data, actions, and product capabilities are exposed to agents and third-party assistants
• Define contracts, versioning, and access controls for tool and connector interfaces
• Build and own evaluation frameworks using golden datasets, offline and online evaluations, regression harnesses, accuracy and hallucination measurement, and production observability
• Set AI quality bars that gate releases
• Support portfolio product managers and engineering teams through intake, integration documentation, reference implementations, adoption guidance, and adoption measurement
• Partner with the chief architect and engineering manager on design reviews, technical trade-offs, model and vendor selection, cost, and latency management
• Participate in sprint planning and refinement and unblock product decisions
• Define metrics including product-line adoption, agent task success rates, evaluation scores, cost per task, latency, and incident rates
• Report outcomes and recommendations to senior leadership
• Work with security, legal, and compliance on data handling, model governance, auditability, and customer trust concerns

Requirements:

• 8 or more years in product management
• At least two years owning AI products as a hands-on individual contributor
• Demonstrated experience shipping large language model applications to production
• Working technical fluency in agentic architectures, including orchestration and planning patterns, tool and function calling, retrieval-augmented generation, context management, and prompt engineering
• Hands-on experience with the Model Context Protocol or comparable tool and plugin interfaces for connecting agents to enterprise systems
• Practical experience building or operating evaluation frameworks for AI systems, including dataset construction, metric selection, and result interpretation
• Experience delivering a shared platform or API-based service where other product teams are the primary consumers
• Ability to read code, reason about system design, and participate in architecture discussions with senior engineers
• Strong command of Agile delivery
• Ability to influence cross-functional teams and senior stakeholders without formal authority
• Excellent written communication
• Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience
• Preferred: experience taking AI capabilities to market in a B2B enterprise SaaS environment
• Preferred: background in enterprise finance, accounting, ERP, or business intelligence domains
• Preferred: experience managing inference cost, latency, and model routing across multiple providers at scale
• Preferred: familiarity with AI security, data residency, and regulatory considerations
• Preferred: prior experience as the first product hire on a team
• Preferred: contributions to open source AI tooling, published evaluation work, or an active public presence in the agentic AI community

Benefits:

• Additional bonus eligibility may apply
• Equal employment opportunity workplace
• Confidential handling of applicant information
• Background checks required for employment, where permitted by country, state/province