Product Manager

American IT Systems•San Francisco, CA

5d•Hybrid

About The Position

Hiring for 1-2 Product Managers to lead AI agent strategy and customer efficiency outcomes. This position involves defining guardrails for AI agent data security and strategy. The role requires a strong customer focus, data-driven approach, execution focus, and strategic thinking. The Product Manager will own one of two strategic swim lanes: either defining Opal's Agentic security strategy (how enterprises govern AI agents' access to data and systems) or building AI-powered agents that accelerate customer outcomes and drive efficiency. Approximately 50% of the time will be spent engaging directly with enterprise customers, customer success, sales, and sales engineering to validate product direction and deeply understand customer pain points. The other 50% will be dedicated to inbound product planning, including writing BRDs, defining requirements, setting KPIs, and managing roadmaps. The Product Manager will work closely with engineering daily to scope sprints, prioritize features, and ensure high-quality execution. They will constantly validate and iterate on the roadmap based on customer conversations, adoption metrics, and retention data, making decisive calls on product initiatives. The role also involves communicating strategy, trade-offs, risks, and outcomes clearly to cross-functional stakeholders through structured written documents and presentations. This role has the potential to grow into a leadership position as the company scales, serving as a potential successor to the CPO.

Requirements

5+ years of experience in product management.
5+ years in product management on technical B2B products.
Owned an externally/customer-facing product and has personally run customer & stakeholder discussions.
B2B / technical product background, selling to a technical buyer.
Launched a product 0-to-1 and turned around an underperforming product.
Identity, security, or IAM domain experience.
Technical fluency to collaborate daily with engineers on architecture.
Structured written and verbal communication skills.
Comfortable working directly with enterprise customers.
Willingness to learn AI.

Nice To Haves

Experience with external, enterprise-facing products is crucial.
Technically conversant and able to interact effectively with engineers.
Experience in identity security, IAM, or adjacent infrastructure/security domains.
Candidates from B2B companies like Microsoft, AWS, or startups.
Written and verbal communication skills are highly valued.

Responsibilities

Lead AI agent strategy and customer efficiency outcomes.
Define guardrails for AI agent data security and strategy.
Own Opal's Agentic security strategy or build AI-powered agents that accelerate customer outcomes and drive efficiency.
Engage directly with enterprise customers, customer success, sales, and sales engineering to validate product direction and understand customer pain points.
Perform inbound product planning: write BRDs, define requirements, set KPIs, and manage roadmaps.
Collaborate with engineering daily to scope sprints, prioritize features, and ensure high-quality execution.
Validate and iterate on the roadmap based on customer conversations, adoption metrics, and retention data.
Communicate strategy, trade-offs, risks, and outcomes clearly to cross-functional stakeholders.
Serve as a potential successor to the CPO, growing into a leadership position as the company scales.