Lead Product Manager, Agent Runtime & Evals

Jobgether; United States; Remote; USD 200,000 - 230,000; Full time

Benefits offered by this job

Equity

Healthcare

Life insurance

Mental wellness

Family support

Flexible time off

Paid leave

Retirement plan

Remote work support

Professional development

Remote-first collaboration

Job summary

Jobgether is seeking an senior Product Manager to lead the agent runtime platform, enabling non-technical users to create, test, publish, deploy, monitor, and improve AI agents without traditional engineering support.

You will drive lifecycle management, governance, model routing, and secure integrations while collaborating with engineering, design, and leadership to deliver measurable business value.

Qualifications

• 7+ years of product management experience in B2B or enterprise SaaS environments, including AI-focused roles.
• Proven experience owning complex products end to end, from vision to launch and iteration.
• Experience building and scaling AI agents or automation solutions replacing manual processes.
• Strong understanding of AI evaluation methods, golden datasets, labeling, tests, and monitoring.
• Ability to collaborate with engineering on technical concepts like model orchestration and contracts.
• Excellent written and verbal communication with cross-team influence.

Responsibilities

• Own vision, strategy, and roadmap for the agent runtime platform.
• Lead development of agent lifecycle management and observability.
• Define evaluation and governance frameworks for AI agents.
• Establish mechanisms to evaluate agents across large-scale environments.
• Shape agent memory, learning, and self-improvement capabilities.
• Lead model-agnostic platform development including routing and pricing strategies.
• Define secure integration strategies with internal systems and third-party apps.
• Establish agent identity, permissions, and governance controls.
• Develop dashboards, traces, metrics, and audit trails for agents.
• Collaborate with leadership to define registries and integration standards.
• Partner with design/engineering to build intuitive configuration tools.
• Monitor emerging AI technologies to inform build-vs-buy decisions.
• Provide product leadership and mentor other product managers.

Skills

Vision setting

Roadmap development

AI product management

Stakeholder management

Technical product sense

Leadership

Communication

Analytical thinking

Usability for non-technical users

Tools

Claude

Cursor

Workato Genies

Job description

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.