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.
You'll work at the intersection of
data engineering, AI/GenAI, and product strategy
, defining what we should build, why it matters, and how it integrates into our platform. You'll collaborate closely with engineers, data specialists, and other Product Managers to shape the future of Canibuild's AI-powered features and data-driven insights.
The ideal candidate has strong technical understanding (data pipelines, APIs, AI model capabilities), hands-on product experience, and the ability to bring structure and clarity in a fast-paced, evolving startup environment.
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.
Willing to work
6:30 AM - 3:30 PM IST, Monday to Friday
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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