• Own the product vision, strategy, and roadmap for a major product area, driving alignment across engineering, design, data, and business stakeholders. • Define, prioritize, and deliver customer-facing features and platform capabilities, balancing short-term execution with long-term strategic positioning. • Lead the design and delivery of agentic AI workflows — including human-in-the-loop systems, autonomous task execution, and AI-assisted decision-making — that meaningfully reduce manual effort for customers and internal teams. • Partner with AI engineering to define agent behavior, escalation logic, output quality standards, and evaluation frameworks; treat AI pipelines as products that require iteration, not one-time launches. • Identify opportunities to embed intelligent automation into existing workflows, working backward from customer pain points to determine where agentic systems create the most leverage. • Work directly with customers, customer-facing teams, and external partners to deeply understand problems, validate solutions, and shape joint outcomes. • Collaborate with data, security, privacy, and legal teams to ensure product decisions comply with regulatory, contractual, and internal governance requirements. • Define and track success metrics — adoption, reliability, quality, efficiency gains — and use those insights to guide prioritization and communicate progress to leadership. • Operate as a product leader: influence without authority, drive clarity in ambiguous situations, and help other PMs on the team grow through pairing, feedback, and example. • Create and maintain documentation, guidelines, and best practices that scale knowledge across product and engineering teams.

• own the product vision, strategy, and roadmap for a major product area • define, prioritize, and deliver customer-facing features and platform capabilities • lead the design and delivery of agentic AI workflows • partner with AI engineering to define agent behavior and output quality standards • identify opportunities to embed intelligent automation into existing workflows • work directly with customers and external partners • collaborate with data, security, privacy, and legal teams to ensure compliance • define and track success metrics • operate as a product leader and influence without authority • create and maintain documentation, guidelines, and best practices

• Own the product vision, strategy, and roadmap for a major product area, driving alignment across engineering, design, data, and business stakeholders. • Define, prioritize, and deliver customer-facing features and platform capabilities, balancing short-term execution with long-term strategic positioning. • Lead the design and delivery of agentic AI workflows — including human-in-the-loop systems, autonomous task execution, and AI-assisted decision-making — that meaningfully reduce manual effort for customers and internal teams. • Partner with AI engineering to define agent behavior, escalation logic, output quality standards, and evaluation frameworks; treat AI pipelines as products that require iteration, not one-time launches. • Identify opportunities to embed intelligent automation into existing workflows, working backward from customer pain points to determine where agentic systems create the most leverage. • Work directly with customers, customer-facing teams, and external partners to deeply understand problems, validate solutions, and shape joint outcomes. • Collaborate with data, security, privacy, and legal teams to ensure product decisions comply with regulatory, contractual, and internal governance requirements. • Define and track success metrics — adoption, reliability, quality, efficiency gains — and use those insights to guide prioritization and communicate progress to leadership. • Operate as a product leader: influence without authority, drive clarity in ambiguous situations, and help other PMs on the team grow through pairing, feedback, and example. • Create and maintain documentation, guidelines, and best practices that scale knowledge across product and engineering teams.

• Own the product vision, strategy, and roadmap for a major product area, driving alignment across engineering, design, data, and business stakeholders. • Define, prioritize, and deliver customer-facing features and platform capabilities, balancing short-term execution with long-term strategic positioning. • Lead the design and delivery of agentic AI workflows — including human-in-the-loop systems, autonomous task execution, and AI-assisted decision-making — that meaningfully reduce manual effort for customers and internal teams. • Partner with AI engineering to define agent behavior, escalation logic, output quality standards, and evaluation frameworks; treat AI pipelines as products that require iteration, not one-time launches. • Identify opportunities to embed intelligent automation into existing workflows, working backward from customer pain points to determine where agentic systems create the most leverage. • Work directly with customers, customer-facing teams, and external partners to deeply understand problems, validate solutions, and shape joint outcomes. • Collaborate with data, security, privacy, and legal teams to ensure product decisions comply with regulatory, contractual, and internal governance requirements. • Define and track success metrics — adoption, reliability, quality, efficiency gains — and use those insights to guide prioritization and communicate progress to leadership. • Operate as a product leader: influence without authority, drive clarity in ambiguous situations, and help other PMs on the team grow through pairing, feedback, and example. • Create and maintain documentation, guidelines, and best practices that scale knowledge across product and engineering teams.