Technical Data & AI Product Manager (Remote)
Canibuild
Drive roadmap for data & AI/GenAI features, turning business needs into scalable product solutions.
21 days ago ago
Expert & Leadership (13+ years), Experienced (8-12 years)
Full Time
Greater Kolkata Area
Remote
Company Size
100 Employees
Service Specialisms
Architecture
Construction
Property Development
Information Technology
SaaS
Software
Engineering
Consulting
Sector Specialisms
Residential
Commercial
Role
What you would be doing
ai solutions
data pipelines
kpi dashboards
user stories
roadmap planning
metrics tracking
- Translate business and user needs into data and AI-driven solutions, framing problems and hypotheses clearly.
- Work closely with data analysts to ensure relevant KPIs, dashboards, and insights are delivered to stakeholders.
- Partner with engineering and design to translate AI and data opportunities into user-centric features.
- Write clear user stories and technical requirements for data and AI-related projects.
- Partner with other Product Managers to understand business flows, identify where data sits, and ensure consistent, reliable data usage across the platform.
- Collaborate with data engineers to define and prioritize data pipelines, models, and infrastructure improvements.
- Define and monitor success metrics for AI and data products — ensuring outcomes are measurable and traceable to business impact.
- Define and own the roadmap for data and AI/GenAI initiatives, from early discovery through delivery.
- Communicate clearly across technical and non-technical stakeholders, simplifying complex ideas and progress updates.
- Balance experimentation and delivery, ensuring short-term wins while building toward long-term AI maturity.
What you bring
genai
data architecture
sql
agile
product management
saas
- Envision AI and GenAI use cases across Canibuild’s ecosystem — from automations to user-facing intelligence — and scope MVPs or spikes to validate feasibility.
- Experience collaborating with data engineers and analysts on delivering data products or AI features.
- Experience working closely with engineering and design teams in Agile environments.
- Immediate joiners preferred.
- Strong understanding of data architecture concepts (data pipelines, APIs, integrations, SQL, ETL/ELT processes).
- Solid grasp of AI and GenAI capabilities (LLMs, embeddings, retrieval, automation, NLP, etc.) and ability to scope practical use cases.
- Excellent skills in problem framing, hypothesis testing, and prioritization.
- Comfort driving spikes and proofs-of-concept to validate technical feasibility before committing to full builds.
- Willing to work 6:30 AM – 3:30 PM IST, Monday to Friday
- Excellent written and verbal communication skills.
- Proven experience working with data, analytics, or AI/ML/GenAI initiatives in a product or technical capacity.
- Strong ability to self-organize, take ownership, and communicate effectively under pressure.
- 4+ years of Product Management experience, ideally in SaaS or technology environments.
- Competitive salary, benefits, and opportunities for growth.
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Interview process
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Company
Overview
$8M Series A
Funding Raised
Raised $8 million in Series A funding in early 2022.
$20M Revenue Growth
Monthly Growth Rate
Achieved 20% month-over-month revenue growth after the Series A funding.
1M Assessments
Site Assessments Completed
Supported over one million site assessments across the US, AU, NZ, and CA.
Weeks to Hours
Sales Cycle Acceleration
Eliminated the need for surveys and turned a weeks-long sales cycle into a single digital session.
- Set out to digitize one of construction’s most analog phases.
- Quadrupled team size to over 50 staff after Series A funding.
- Uses GIS, AI, aerial imagery, and real-time 3D to streamline sales processes.
- Clients include major brands like GJ Gardner, McDonald Jones, San Juan Pools, and SnapADU.
- Integrates into CRMs and provides branded flyers, plans, and web widgets to convert website visitors into leads.
- Headquartered in Sydney with U.S. offices in Dallas, Miami, and Bakersfield, scaling globally.
- Remote-first with great work/life balance
- Friendly, easy-to-work-with teams
- Startup led by founders who inspire and lead from the front
- High transparency and strong inter-team communication
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