Senior Product Manager – Data, Analytics & AI

Azuga·Bengaluru·Onsite

Senior Product ManagerLogisticsSaaSConsumer

Experience

5+ years

Employment

Full Time

Work mode

Onsite

Level

Senior Product Manager

Location

Bengaluru

Posted

3 days ago

About the role

Company Background

Azuga, a Bridgestone company, is a leading global connected vehicle platform, helping customers turn data from vehicles and drivers into intelligence that improves operations and safety while reducing cost and risk. Azuga provides innovative end-to-end fleet solutions for commercial fleets, government agencies, insurance companies, and integrated software partners, through a comprehensive approach of hardware technology, fleet management applications, video telematics, and data analytics. All with a white glove customer experience.

Team Culture

We are a mission-driven team committed to remaining the fastest growing fleet management solution in the industry. We are a group of builders and doers — building the foundations of a results-oriented product team to deliver amazing experiences for our customers. We are a team with a strong commitment to customer-driven innovation, data-based decision making, and a bias for learning through experimentation.

Summary

Data is at the core of what Azuga does — every device in the field generates a continuous stream of signals that our customers depend on to run safer, smarter fleets. We are seeking a Senior Product Manager, Data, Analytics & AI to own the strategy and roadmap for how we collect, process, model, and surface that intelligence across the platform — and to help lead our emerging AI program from early initiative into a core platform capability.

This is a rare hybrid role. You will need to be equally

What you'll do

Define and drive the data, analytics, and AI product roadmap, balancing near-term customer pain points against longer-term platform investment.
Lead product discovery across customer segments, translating feedback, usage data, and support escalations into prioritized requirements.
Write rigorous product requirements and user stories; partner with engineering and data science through the full development lifecycle.
Build trusted relationships with stakeholders across Engineering, Sales, Customer Success, and executive leadership — communicating clearly and managing expectations proactively.
Establish and monitor KPIs for data quality, analytics engagement, AI feature adoption, and API reliability.
Lead go-to-market planning and enablement for new analytics and AI feature launches.

What you'll bring

5+ years of product management experience, with meaningful focus on data, analytics, or AI/ML products in B2B SaaS environments.
Demonstrated ability to translate between business requirements and technical specifications — comfortable in a data engineering standup and a Sales QBR in the same day.
Working fluency with data concepts: pipelines, schemas, APIs, event-driven architectures, and data quality frameworks. You don’t need to code, but you need to reason about tradeoffs at the technical level.
Experience working directly with data science or ML teams — defining problem statements, scoping features around model outputs, and making those outputs useful to end users.
High attention to detail — you write requirements that leave nothing ambiguous, and you catch the inconsistency others miss.
Excellent communicator with a track record of earning trust with engineers, data scientists, and executive stakeholders alike.
Bachelor’s degree in Computer Science, Engineering, Statistics, Business Analytics, or a related field; advanced degree is a plus.

Nice to have

Background in fleet management, telematics, connected devices, or mobility/transportation.
Hands-on experience with BI platform product development (Looker, Tableau, or similar).
Familiarity with IoT data architectures, streaming pipelines, or AI-assisted prototyping workflows.