Senior Product Manager

This is a fully remote position, open to applicants in United States.

📋 Description

• Create and uphold the strategy, roadmap, and quarterly objectives for AI Services, focusing on agentic workflows, the tool and connector layer, and AI quality infrastructure.

• Make informed decisions regarding sequencing, scope, and technical direction, backed by evidence.

• Define complex agent behaviors, encompassing planning, tool selection, memory usage, human-in-the-loop checkpoints, fallback options, and safety measures.

• Convert vague business challenges into actionable agent designs for finance professionals.

• Oversee the Model Context Protocol interface and the roadmap for tool integration.

• Determine which company data, actions, and product functionalities are accessible to agents and external assistants.

• Establish contracts, versioning, and access controls for tool and connector interfaces.

• Develop and manage evaluation frameworks utilizing golden datasets, offline and online assessments, regression testing, accuracy and hallucination metrics, and production monitoring.

• Set quality standards for AI that serve as prerequisites for product releases.

• Assist portfolio product managers and engineering teams with intake, integration documentation, reference implementations, guidance for adoption, and measuring adoption success.

• Collaborate with the chief architect and engineering manager during design evaluations, technical trade-offs, model and vendor selection, as well as cost and latency management.

• Engage in sprint planning and refinement, facilitating product decision-making.

• Define key metrics such as product-line adoption, agent task success rates, evaluation scores, cost per task, latency, and incident rates.

• Present outcomes and strategic recommendations to senior leadership.

• Collaborate with security, legal, and compliance teams on data management, model governance, auditability, and customer trust issues.

⛳️ Requirements

• Minimum of 8 years in product management.

• At least 2 years of experience managing AI products as a hands-on individual contributor.

• Proven track record of deploying large language model applications into production.

• Technical proficiency in agentic architectures, including orchestration and planning patterns, tool and function invocation, retrieval-augmented generation, context management, and prompt engineering.

• Hands-on experience with the Model Context Protocol or similar tools and plugin interfaces that connect agents to enterprise systems.

• Practical experience in constructing and managing evaluation frameworks for AI systems, including dataset creation, metric selection, and interpreting results.

• Experience in delivering a shared platform or API-driven service that serves other product teams as primary users.

• Ability to read and understand code, reason about system architecture, and engage in discussions with senior engineers.

• Strong expertise in Agile delivery methodologies.

• Capacity to influence cross-functional teams and senior stakeholders without formal authority.

• Exceptional written communication skills.

• Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.

• Preferred: experience in bringing AI capabilities to market within a B2B enterprise SaaS context.

• Preferred: background in enterprise finance, accounting, ERP, or business intelligence sectors.

• Preferred: experience managing inference costs, latency, and model routing across various providers at scale.

• Preferred: understanding of AI security, data residency, and regulatory issues.

• Preferred: prior experience as the initial product hire on a team.

• Preferred: contributions to open source AI tools, 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.