Product Manager
Listed on 2026-01-16
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IT/Tech
Product Designer
đ Website: Cyb3roperations
Cyb3r Operations | Supply Chain & Third Party Intelligence
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How to Apply:
Email a with your CV or Linked In profile
About Cyb3r Operations
Cyb3r Operations is building a modern thirdâparty risk intelligence platform that gives organisations realâtime visibility into strains of risk and security challenges. Our solution ingests and enriches large volumes of external intelligence to help security, procurement, CFO and resilience teams understand exposure instantly.
We have:
- Closed our seed round and are entering the next stage of growth
- Expanding the platform, engineering team and customer footprint
- Preparing for Series A with a focus on platform maturity and deeper integrations
Weâre hiring a Product Manager to partner closely with Engineering, Intelligence and Client Engagement to drive the next phase of product maturity, scale and customer impact.
Role OverviewThe Product Manager will own the product strategy for the ThirdâParty Intelligence Platform endâtoâend. This is a senior, handsâon role responsible for shaping what we build, why we build it and how it delivers value.
You will:
- Define product strategy, vision and roadmap for the platform
- Translate customer needs into clear, validated product requirements
- Partner with the Director of Engineering to ensure fast, highâquality delivery
- Work closely with the CEO on strategic direction and market positioning
- Collaborate with the Director of Client Engagement to ensure productâcustomer alignment
- Drive prioritisation, product discovery and crossâfunctional execution
This role is mehrere ideal for someone who thrives in earlyâstage environments, understands cyber and intelligence workflows, and can bridge technical detail with commercial value.
Key Responsibilities- Own the product vision, strategy and multiâquarter roadmap for the thirdâparty intelligence platform
- Define and validate problem statements, product hypotheses and success metrics
- Translate complex intelligence, cyber and risk concepts into clear product requirements
- Align product strategy with CEO priorities, customer insights and market needs
- Engage directly with CISOs, CFOs, procurement teams and analysts to uncover highâvalue needs
- Conduct structured discovery interviews, workflow mapping and usability testing
- Partner with the Director of Client Engagement to turn customer feedback into actionable insights
- Develop product narratives and clearly communicate product value
- Write clear PRDs, specifications and acceptance criteria
- Work closely with Engineering to plan sprints, remove blockers and ensure timely delivery
- Ensure shipped features meet quality, security and performance expectations
- Lead product strategy across AIâpowered enrichment, risk scoring and intelligence summarisation
- Define requirements for MLâdriven detection, anomaly insights and predictive risk models
- Ensure product experience complements intelligence outputs rather than overwhelming users
- Partner with analysts to incorporate domain expertise into automated intelligence workflows
- Work directly with the CEO on GTM strategy, positioning and customer value propositions
- Collaborate with Engineering, Intelligence and Client Engagement on platform priorities
- Support Sales & GTM teams with product knowledge, demos and roadmap context
- Act as the voice of the customer throughout the business
- Define product OKRs, dashboards and success metrics
- Introduce structured processes for feedback handling, prioritisation and release planning
- Ensure alignment with enterprise expectations around reliability, auditability and usability
- Help build and codify the product culture as we scale
You donât need to code, but you must be comfortable working in a deeply technical environment.
Core stack includes: Node.js, Typescript, Python, Postgres, Supabase, Redis, eventâdriven microservices, LLMâpowered enrichment, n8n automation, AWS (Lambda, ECS, S3), Terraform, Next.js, enterprise security tools, CI/CD pipelines.
Comfort discussing APIs, data models, enrichment logic, scoring frameworks andâŠ
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