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AI-Powered Job Summary
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KATIM is a leader in the development of innovative secure communication products and solutions for governments and businesses. As part of the Space & Cyber Technologies cluster at EDGE, one of the world’s leading advanced technology groups, KATIM delivers trust in a world where cyber risks are a constant threat, and fulfils the increasing demand for advanced cyber capabilities by delivering robust, secure, end-to-end solutions centred on four core business units: Networks, Ultra Secure Mobile Devices, Applications, and Satellite Communications. Our talented team of cross functional experts continually takes-on new challenges. We work with the energy of a start-up yet the discipline of a large business to make solutions and products work for our customers at scale.
Job Purpose (specific To This Role)
The Product Owner / Technical Product Manager will define and drive the product vision, strategy, and roadmap to support our AI-augmented product development team. This role bridges business objectives and technical execution—translating customer and mission requirements into clear, actionable specifications for the product development organization.
You will work in a highly empowered environment where the software development lifecycle is augmented by AI. Traditional roles and repetitive tasks are automated or AI-assisted, enabling the team to deliver secure, production-grade applications with the velocity and quality that typically require significantly larger teams.
AI-Augmented Product Development Model (Context for the Role)
We are a lean, AI-augmented product development team delivering production-ready, enterprise-grade secure applications with the quality and velocity typically requiring 3–4x larger organizations. Every role in the traditional SDLC is either AI-augmented or automated, allowing teams to focus on design, architecture, and high-impact decision-making.
Core Principles
- Security is integrated into every decision, from architecture to deployment.
- Repetitive tasks are automated; human effort is focused on strategy and problem-solving.
- Quality is measurable, enforced, and automated at every stage.
- All system behaviors—including AI-assisted outputs—must be traceable, reviewable, and explainable. We do not ship “black box” functionality.
- Design and implementation decisions prioritize resilience, maintainability, and interoperability in real customer environments
Vision & Strategy (30%)
- Define product vision and roadmap aligned with business goals
- Conduct user research and competitive analysis
- Identify market opportunities and validate with stakeholders
- Set and track key metrics (OKRs, KPIs)
- Maintain and prioritize product backlog based on value and effort
- Write clear user stories with acceptance criteria
- Groom backlog with the product development team
- Make real-time trade-off decisions during sprints
- Communicate progress to executives and stakeholders
- Gather and synthesize feedback from users and business teams
- Manage expectations and negotiate scope
- Ensure alignment across the organization
- Unblock engineers by clarifying requirements
- Validate features in staging before production release
- Participate in demos and retrospectives
- Foster team culture and morale
- Daily: Review pull requests for UX/scope, answer team questions, monitor metrics
- Weekly: Sprint planning, backlog grooming, stakeholder updates, user interviews
- Monthly: Roadmap reviews, OKR check-ins, competitive analysis
- Quarterly: Strategy planning, major stakeholder presentations
- BS in Computer Science, Computer Engineering, Mathematics or related field, or equivalent experience in industry / Masters preferred.
- 7+ years product management with 3+ years in security-critical products (B2B SaaS)
- 3+ years working with cross-functional product development teams
- Strong understanding of Agile/Scrum methodologies
- Experience shipping mobile and web applications
- Data-driven decision making with analytics tools (Mixpanel, Amplitude, GA)
- Excellent written and verbal communication skills
- Technical enough to understand architecture discussions
AI-Specific Skills:
- Understanding of LLM capabilities and limitations
- Ability to write effective prompts for AI-assisted development
- Comfort with AI ethics and bias considerations
- Experience with AI/ML products or features
- Background in engineering or design
- Understanding of mobile app ecosystems (iOS, Android)
- Familiarity with React Native, Flutter, or similar frameworks
- Experience with API-first product development
- Strong grasp of cryptography basics, authentication/authorization patterns (OAuth2, SAML, Zero Trust)
- Deep understanding of OWASP Top 10, SANS Top 25, and common vulnerability patterns
- Proficiency with AI tools: Claude, ChatGPT, GitHub Copilot for research and analysis
- Previous startup or high-growth company experience
- Product Velocity: Features shipped per sprint
- User Satisfaction: NPS, CSAT scores, app store ratings
- Business Impact: Conversion rates, revenue growth, user retention
- Team Health: Sprint completion rate, velocity trend, team satisfaction
- User-obsessed: Deep empathy for user needs and pain points
- Decisive: Makes informed decisions quickly with incomplete information
- Collaborative: Builds consensus while maintaining vision
- Adaptive: Thrives in ambiguity and fast-changing environments
- Data-informed: Balances quantitative data with qualitative insights
- Technical curiosity: Eager to understand how things work under the hood
Key Skills
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