Canibuild
About the Role
We’re looking for a Technical Data & AI Product Manager to join our growing team at Canibuild. This role is ideal for someone who can connect business needs, data opportunities, and emerging AI capabilities to deliver scalable, high-impact solutions.
Key Responsibilities
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.
Requirements
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.
Benefits
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.
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Key Responsibilities
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.
Requirements
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.
Benefits
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.
#J-18808-Ljbffr