Lead Product Manager, Agent Runtime & Evals

Accountabilities:: Own the vision, product strategy, and roadmap for the agent runtime platform, enabling non-technical users to create, test, publish, deploy, monitor, improve, and retire AI agents and automations without requiring traditional engineering support. Lead the development of agent lifecycle management capabilities, including version control, deployment processes, runtime management, observability, and continuous improvement. Define and evolve evaluation and model governance frameworks, including golden datasets, data labeling, automated evaluation, regression testing, and quality gates to ensure automations meet required standards before production. Establish evaluation mechanisms for AI agents that assess other agents, ensuring quality, reliability, and measurable performance across large-scale automation environments. Shape agent memory, learning, and self-improvement capabilities, ensuring that agents can retain relevant context and improve through experience while delivering measurable user value. Lead the development of a model-agnostic platform, defining model routing, cost attribution, and pricing strategies that allow teams to select appropriate models for different use cases. Define integration strategies that enable agents to securely access internal systems, business data, and third-party applications through reusable connectors, credentials, permissions, and access controls. Establish agent identity and execution models, including user-based permissions and independent service identities, while ensuring appropriate governance and auditability. Develop oversight and monitoring experiences that allow business teams to manage large fleets of agents through dashboards, execution histories, traces, metrics, logs, audit trails, and emergency controls. Partner with workflow orchestration product leadership to define agent registries, structured contracts, and integration standards that allow agents to operate reliably within governed workflows. Collaborate with engineering and design teams to create intuitive configuration tools that enable business specialists to build, test, and optimize automations independently. Monitor emerging AI technologies, managed agent platforms, orchestration frameworks, and automation solutions to inform strategic build-versus-buy decisions and partnership opportunities. Provide product leadership across adjacent teams, guide complex technical and strategic decisions, mentor product colleagues, and establish high standards for product execution and customer experience. Requirements: 7+ years of product management experience in B2B or enterprise SaaS environments, including at least 3 years working in AI-focused product roles. Proven experience owning complex products end to end, from product vision and strategy through roadmap development, execution, launch, and continuous improvement. Experience building and scaling AI agents or automation solutions that replace manual business processes, ideally in a zero-to-one product environment. Strong practical understanding of AI evaluation methodologies, including golden datasets, data labeling, automated judges, regression testing, performance monitoring, and human-in-the-loop evaluation. Ability to work closely with engineering teams on technical concepts such as agent-to-workflow contracts, structured outputs, deterministic execution, agent memory, and model orchestration. Strong understanding of how non-technical users build, configure, deploy, and supervise automated systems, with a focus on usability and operational reliability. Hands-on fluency with modern AI tools and large language models, including platforms such as Claude and Cursor, with the ability to independently prototype solutions and accelerate product development. Ability to make informed decisions about AI models, evaluation frameworks, integrations, access controls, and deployment strategies. Experience with managed agent platforms such as Claude Managed Agents or Workato Genies is a strong advantage, particularly regarding evaluations, connectors, permissions, versioning, and deployments. Excellent written and verbal communication skills, with the ability to explain complex product decisions to engineers, designers, executives, and customers. Demonstrated leadership and ability to influence multiple teams, establish shared product direction, and mentor or manage other product managers. Strong product judgment, analytical thinking, customer empathy, and comfort navigating ambiguity in a rapidly evolving technology environment. Ability to balance technical complexity with practical business outcomes, ensuring that platform capabilities translate into meaningful improvements for end users. Benefits: Competitive compensation: US salary range of USD $200,000–$230,000+, with final compensation depending on experience, skills, and location. Canadian compensation details can be confirmed with the recruiter. Equity: Opportunity to participate in the company's long-term growth through equity compensation. Comprehensive healthcare: Medical, dental, and vision coverage for employees and their families. Life insurance: Financial protection and additional security. Mental wellness: Coverage and resources to support mental health and overall well-being. Family support: Fertility benefits and support for growing families. Flexible time off: Flex Time Off in addition to company-paid holidays. Paid leave: Family leave, medical leave, and bereavement leave policies. Retirement planning: Access to retirement savings plans. Remote work support: Allowance to personalize your home office and technology setup. Professional development: Annual stipend to support continued learning, training, and career growth. Flexible work environment: Remote-first collaboration with opportunities to work alongside talented colleagues across multiple locations.