Technical Data & AI Product Manager; Remote

About the Role

We’re looking for a
Technical Data & AI Product Manager
to join our growing team s role is ideal for someone who can connect business needs, data opportunities, and emerging AI capabilities to deliver scalable, high-impact solutions.

• Define and own the roadmap for
  data and AI/GenAI initiatives
  , from early discovery through delivery.
• Translate business and user needs into
  data and AI-driven solutions
  , framing problems and hypotheses clearly.
• Envision
  AI and GenAI use cases
  across Canibuild’s ecosystem — from automations to user-facing intelligence — and scope MVPs or spikes to validate feasibility.
• Collaborate with
  data engineers
  to define and prioritize data pipelines, models, and infrastructure improvements.
• Work closely with
  data analysts
  to ensure relevant KPIs, dashboards, and insights are delivered to stakeholders.
• Partner with other
  Product Managers
  to understand business flows, identify where data sits, and ensure consistent, reliable data usage across the platform.
• Partner with
  engineering and design
  to translate AI and data opportunities into user-centric features.
• Define and monitor success metrics for AI and data products — ensuring outcomes are measurable and traceable to business impact.
• Write clear
  user stories and technical requirements
  for data and AI-related projects.
• Balance experimentation and delivery, ensuring short-term wins while building toward long-term AI maturity.
• Communicate clearly across technical and non-technical stakeholders, simplifying complex ideas and progress updates.
• Take strong ownership of your domain, working autonomously while keeping the broader team aligned.

• 4+ years of Product Management experience, ideally in SaaS or technology environments.
• Proven experience working with
  data, analytics, or AI/ML/GenAI initiatives
  in a product or technical capacity.
• Strong understanding of
  data architecture concepts
  (data pipelines, APIs, integrations, SQL, ETL/ELT processes).
• Experience collaborating with
  data engineers and analysts
  on delivering data products or AI features.
• Solid grasp of
  AI and GenAI capabilities
  (LLMs, embeddings, retrieval, automation, NLP, etc.) and ability to scope practical use cases.
• Comfort driving
  spikes and proofs-of-concept
  to validate technical feasibility before committing to full builds.
• Excellent skills in
  problem framing, hypothesis testing, and prioritization
  .
• Strong ability to self-organize, take ownership, and communicate effectively under pressure.
• Experience working closely with
  engineering and design teams
  in Agile environments.
• Proactive and pragmatic — balances innovation with feasibility.
• Excellent written and verbal communication skills.
• Available to work 9:00 AM – 5:00 PM AEDT, remote full-time.
• Immediate joiners preferred.

• Competitive salary, benefits, and opportunities for growth.
• A collaborative, fast-paced, and innovative culture that values initiative, ownership, and smart solutions.
• A remote-first environment with global collaboration.