Product Manager

Role overview

Responsibilities

• Own the pod roadmap and prioritize customer problems, pilots, production hardening, and reusable capabilities.
• Discover user workflows and translate needs into product direction, requirements, acceptance criteria, and release plans.
• Shape AI workflows and define evaluation, feedback, model trade-offs, and human-in-the-loop controls.
• Use Python, SQL, notebooks, and Figma to prototype and communicate product concepts.
• Partner on rollout, readiness, documentation, monitoring, communication, and adoption.
• Incorporate security, privacy, auditability, access controls, data handling, and deployment constraints into product decisions.
• Convert field feedback into reusable features and implementation patterns.

Required qualifications

• Senior-level product management experience with technical, enterprise, data, AI, platform, or applied software products.
• Technical fluency in AI applications, data workflows, APIs, enterprise integrations, and production constraints.
• Ability to translate ambiguity into requirements, workflows, priorities, acceptance criteria, and release plans.
• Hands-on prototyping with Python, SQL, notebooks, and design tools such as Figma.
• Experience partnering with engineering through pilots, production rollout, and iteration.
• Strong written and verbal communication; able to lead requirements sessions, roadmap discussions, demos, and stakeholder alignment.

Preferred experience

• Applied AI product experience with LLMs, RAG, agents, evaluations, feedback loops, and human-in-the-loop design.
• Strong preference for enterprise GRC/eGRC experience across risk, compliance, evidence, policies, audit, remediation, third-party risk, or regulatory reporting.
• Enterprise delivery experience across roadmaps, releases, integrations, adoption, documentation, support, and readiness is preferred.
• Cybersecurity or sensitive-environment experience, including IAM, audit logging, regulated data, on-premises, air-gapped, or constrained networks, is preferred.

What the company offers

• Opportunity to shape AI products for enterprise and regulated environments and own them from discovery through scaled adoption.
• Collaboration with FDEs, AI engineers, security experts, and business stakeholders.
• Company-sponsored technical learning, professional development, and certification support.