Sr Product Manager

1 week ago

Bengaluru, Karnataka, India Solera Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Key Responsibilities

  • Own product strategy for integrating telematics, AI/ML capabilities, and cross-platform data services to deliver predictive insights, fleet optimization, and real-time operational visibility.
  • Drive execution of a Unified Data Layer, ensuring seamless interoperability between internal systems, customer environments, 3rd party ERP/TMS/WMS, and external APIs.
  • Translate emerging AI technologies (e.g., anomaly detection, computer vision, NLP) into differentiated product features that address real-world customer problems.
  • Define and maintain a multi-year product roadmap with strong focus on data infrastructure, algorithm-driven insights, and user-centered visualization experiences.
  • Collaborate with engineering, data science, and DevOps teams on architecture, data pipelines, AI model integration, and scalability across markets.
  • Conduct quarterly product reviews and customer advisory boards to ensure roadmaps reflect customer feedback and market trends.
  • Manage products throughout the lifecycle, from ideation to go-to-market, applying agile practices and frameworks.
  • Champion a culture of innovation, data-driven decision-making, and effective cross-functional collaboration.

Qualifications

  • 6+ years in product management within transportation, logistics, or enterprise SaaS.
  • Maters Degree
  • Proven experience working with AI-powered products, connected data platforms, or ML model deployment in commercial environments.
  • Expertise in defining product requirements for data ingestion pipelines, real-time analytics, and API-first architectures.
  • Strong knowledge of data privacy, system integration, and compliance requirements in telematics or transportation tech.
  • Ability to translate business goals and user needs into product specifications and technical delivery plans.
  • Demonstrated ability to balance long-term vision with short-term execution in high-growth, agile environments.
  • Experience collaborating with data science, AI/ML engineers, and cloud infrastructure teams to deliver scalable, intelligent systems.
  • Excellent communication and storytelling skills for both technical and non-technical audiences.
  • Strong business acumen with experience in KPI frameworks, ROI models, and performance tracking.

Nice to Have

  • Experience with Jira, Confluence, or other agile lifecycle tools.
  • Familiarity with big data systems, SQL/NoSQL, or streaming analytics platforms (e.g., Kafka, Spark).
  • Exposure to AI technologies such as predictive maintenance, driver behavior analysis, computer vision for asset tracking, or NLP for service automation.
  • Working knowledge of third-party data integrations, such as ELDs, OEM APIs, routing software, or insurance platforms.

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