Product Manager

What You’ll Do

• Own product vision, strategy, and execution for one or more mission-critical capabilities.
• Work directly with engineers to shape requirements, define scope, and sequence delivery.
• Partner closely with operational stakeholders to understand workflows, constraints, and what success looks like in practice.
• Translate complex technical and operational needs into clear product requirements, priorities, and roadmaps.
• Balance near-term delivery needs with longer-term platform and capability development.
• Drive product decisions using a mix of user feedback, qualitative insight, and technical understanding.
• Support products deployed in constrained or non-standard environments, including bespoke or air-gapped infrastructure.
• Help the team focus on the highest-leverage problems and make sound tradeoffs under pressure.
• Create alignment across engineering, operators, and leadership on what to build, why it matters, and what comes next.

Must Have

• 4+ years of experience building products.
• Experience as a Product Manager or in a closely related role, such as technical program manager, founder, or engineer with meaningful product ownership.
• Worked closely with tech leads and engineering leadership to plan, prioritize, and sequence product roadmaps.
• Strong technical fluency and can engage meaningfully with engineers on architecture, tradeoffs, feasibility, and delivery risk.
• Shipped complex products in high-stakes, ambiguous, or low-signal environments.
• Sound judgment and discretion when working with sensitive customers, systems, or problem spaces.
• Clear written and verbal communication skills and can turn complexity into clarity for different audiences.

Nice To Have

• Experience with offensive cyber operations, cyber intelligence, red teaming, or adjacent domains.
• Experience building products for national security customers.
• Built or managed AI-driven or agentic products.
• Used AI tools to accelerate product discovery, design, or software development.
• Background in data platforms, analytics, knowledge graphs, or complex backend systems.
• Worked in government, defense, intelligence, or similarly mission-driven environments.

Tech Environment

• Products deployed in air-gapped or bespoke infrastructure environments.
• Backend-heavy systems that support complex operational workflows.
• Data platforms, analytics systems, or knowledge graph-oriented capabilities.
• Teams building AI-driven or agentic product experiences.
• Environments where reliability, security, and operational usability matter as much as feature velocity.