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Ultimate Knowledge

Competency-driven cybersecurity training platform

Senior Product Manager

Product ManagementConfirmed live in the last 24 hours
Full-timeRemote in USANo salary listedRemote

About the Job

Requirements

  • Requires 3–5+ years of product management experience in B2B SaaS.
  • Requires experience owning discovery and roadmap decisions for a defined product area.
  • Requires working familiarity with agile delivery models.
  • Requires hands-on fluency with AI-assisted prototyping and development tools, such as Claude, Cursor, Lovable, v0, or similar, and the ability to produce a working prototype rather than only a specification.
  • Requires experience working in an AI-assisted or AI-driven development lifecycle, or a demonstrated record of quickly adopting new tooling and ways of working.

Responsibilities

  • Own strategy, discovery, and roadmap prioritization for an assigned product or product area, translating customer and market insight into validated, prioritized initiatives.
  • Use AI tooling to validate problems and solutions before engineering work is committed, build working prototypes when that is the fastest way to reduce uncertainty, and write requirements that engineers and AI agents can execute against.
  • Partner with UX Design and Engineering to drive features from concept through launch, and partner directly with Engineering on delivery.
  • Lead AI-accelerated discovery to validate problems and solutions before Engineering time is committed, partnering with UX Design on research, validation, and design review.
  • When a working prototype is the fastest way to validate a problem, solution, or workflow, build one with AI-assisted tools, test it with customers and internal stakeholders, and carry the evidence into prioritization and requirements.
  • Work alongside Engineering in the ADLC harness, from planning and selecting specialists and agents through the build, review, and fix loop; capture learnings from each cycle and stay current on AI tooling.
  • Write unambiguous, testable requirements and acceptance criteria that engineers, designers, and AI agents can execute against, paired with a validated prototype or reference where one exists, and partner with Engineering to turn roadmap priorities into a delivery plan.
  • Track and report product-level success metrics after launch, and communicate roadmap status, tradeoffs, and risks to product leadership and stakeholders.

Desired Qualifications

  • Experience with cybersecurity training, cyber ranges, workforce readiness, or learning platforms (LMS/LXP).
  • Experience building for or selling to DoD, federal, or SLED customers, including familiarity with procurement, security, and compliance constraints.
  • Familiarity with cyber workforce competency frameworks (NICE Framework, DCWF, DoD 8140) and assessment-driven readiness models.
  • Prior experience partnering with and directing a delivery team.
  • A portfolio of prototypes or shipped features built or materially shaped with AI tooling.

About the Company

Ultimate Knowledge

Competency-driven cybersecurity training platform

UKI delivers cybersecurity workforce readiness and training through the OpenDash360 platform and custom content for DoD, federal agencies, and Fortune 500 firms. Its OpenDash360 suite (Open Assessment Services, Open Learning Services, Open Workforce Services) measures competency, individual and team performance, and job-role readiness. It creates realistic cyber training labs accessible via PCTE and GovCloud and aligns courses with DoD 8570/8140 and the NIST/NICE framework. Its focus on competency-based readiness and integrated assessments, learning, and workforce management distinguishes it, with a goal to expand cybersecurity readiness across government and industry, supported by True Wind Capital’s growth investment.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Scottsdale, AZ
Founded
1999

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