Product Manager

About Ansen

Role Overview

Key Responsibilities

• Own the pod roadmap and prioritize customer problems, pilots, production hardening, and reusable capabilities.
• Translate ambiguous operational needs into requirements, workflows, acceptance criteria, priorities, and release plans.
• Shape AI-enabled workflows involving LLMs, RAG, agents, extraction, classification, summarization, and decision support.
• Define quality measures, evaluations, feedback loops, model trade-offs, and human-in-the-loop controls.
• Use Python, SQL, notebooks, and Figma for prototyping, assumption testing, requirements clarification, and communication.
• Partner on rollout planning, operational readiness, documentation, monitoring, stakeholder communication, and user adoption.
• Account for security, privacy, auditability, access control, data handling, on-premises, air-gapped, and constrained-network environments.
• Turn recurring customer needs into reusable product features and implementation patterns.

Required Qualifications

• Senior-level product management experience with technical, enterprise, data, AI, platform, or applied software products.
• Technical fluency across AI-enabled applications, data workflows, APIs, enterprise integrations, and production deployment constraints.
• Ability to translate ambiguous operational problems into product requirements, workflows, priorities, acceptance criteria, and release plans.
• Hands-on prototyping ability using Python, SQL, notebooks, and design tools such as Figma.
• Understanding of trade-offs among user value, speed, security, reliability, maintainability, and adoption.
• Experience partnering with engineering teams through pilots, production rollout, and product iteration.
• Excellent written and verbal communication skills.
• Confidence leading requirements sessions, roadmap discussions, internal demos, and stakeholder alignment.

Preferred Experience

• Applied AI product management experience with LLM applications, RAG, agents, evaluations, feedback loops, prompt and workflow iteration, and human-in-the-loop design.
• Strong preference for enterprise GRC or eGRC product experience, including risk, compliance, evidence, policy, audit, remediation, third-party risk, or regulatory workflows.
• Enterprise delivery experience covering roadmaps, releases, pilot-to-production transitions, integrations, adoption metrics, documentation, support, and operational readiness.
• Cybersecurity or sensitive-environment experience, including security operations, IAM, audit logging, data classification, regulated data, on-premises, air-gapped, or constrained networks.

Ideal Candidate Profile

What Ansen Offers

• The opportunity to shape high-impact AI products for enterprise and regulated environments.
• Collaboration with Forward Deployed Engineers, AI engineers, security experts, and business stakeholders.
• Ownership from early discovery through production rollout and scaled adoption.
• Exposure to complex enterprise, cybersecurity, and international customer scenarios.
• Company-sponsored technical learning, professional development, and certification support.