Product Owner, Vision AI Platform (Chennai)

Product Owner, Vision AI Platform (Chennai)

14 Aug
|
Lifo Technologies
|
Chennai

14 Aug

Lifo Technologies

Chennai

Own a Vision AI platform that runs on edge devices at industrial scale.

Chennai (On-site, with periodic customer travel) Full-time 6 to 10 years (3+ in B2B product management)

Reports ToProduct Leadership

CompensationINR 20 to 25 LPA, with a meaningful equity component.

About LIFO Technologies

LIFO Technologies is a Chennai-based deep-tech company building Vision AI and edge compute systems for industrial and enterprise applications. We design and ship hardware, software, and AI together, from chip to cloud. We are a pre-Series A funded company with over 15 years of operations.

The Role

We are hiring a Product Owner to own a flagship Vision AI platform end-to-end: roadmap, customer discovery, pricing, packaging, and the cross-functional execution to turn a deployed platform into a market-leading product. You will work across engineering, AI and ML, hardware, sales, and customer success, and report directly to product leadership.

What You Will Own

Product Strategy and Roadmap

- Own the product roadmap: prioritise features, deprecate what does not work, and sequence delivery against customer commitments and technical reality.
- Define product strategy: competitive positioning, target customer profile, pricing and packaging, and expansion into adjacent use cases.
- Write the specs: PRDs, user stories, and acceptance criteria. Partner with engineering and AI and ML leads to scope and sequence each release.
- Own the metrics: define and instrument product success metrics, review them weekly, and drive the team toward measurable improvement.

Customer and Cross-Functional

- Lead customer discovery: structured interviews with customer stakeholders, in office observation,



and win or loss analysis. Translate findings into product decisions.
- Coordinate effectively with engineering, AI and ML, hardware, sales, customer success, and operations without direct reporting authority.
- Be the customer voice internally in every prioritisation, design, and trade-off conversation.
- Be the product voice externally to customers, partners, and prospects with credibility.

Technology Exposure

- AI and edge systems: Vision AI and computer vision concepts, NVIDIA Jetson edge devices, and RTSP or ONVIF camera streaming.
- Networking and IoT: basic networking (LAN, routers, VPN, bandwidth), IoT device connectivity, and edge deployments.
- Project and collaboration tools: MS Project, Jira, Asana, Smartsheet, Slack, Teams, and Excel-based MIS reporting.

Must Have

- 6 to 10 years of experience in technology, with at least 3 years in B2B or enterprise product management.
- Tech-first background: you came up through engineering, AI and ML, or hardware and moved into product because you wanted to shape what gets built.
- Hands-on as a Product Owner or Product Manager with at least one of: Vision AI, computer vision, IoT, edge compute, or industrial SaaS.
- Track record of shipping: at least one product or major product area you owned end-to-end and shipped to paying customers.




- Strong written communication: PRDs, decision memos, and customer-facing narratives that drive alignment across stakeholders.
- Comfortable with technical depth: can read code, evaluate model performance, and have substantive conversations with engineers about architecture trade-offs.
- Customer empathy at scale: equally comfortable in senior customer meetings and in working sessions with field engineers.
- Strong analytical foundation: SQL, dashboards, and product analytics tools. Willing to do the analysis yourself when needed.
- Strong sense of ownership and the discipline to ensure every commitment is tracked through to closure.

Nice to Have

- Prior experience as a software engineer, ML engineer, or hardware engineer before moving into product.
- Familiarity with computer vision pipelines (YOLO, OpenCV, TensorRT) and the realities of deploying models at the edge.
- Experience with hardware product cycles: BoM, certifications, and manufacturing constraints.
- Background in industrial SaaS, IoT platforms, or fleet management products.
- Exposure to enterprise sales cycles and PSU procurement processes.
- MBA or equivalent in technology or operations management.

Why Join LIFO

- Ownership of a flagship Vision AI product at the centre of LIFO’s growth.
- Direct working relationship with engineering, AI and ML, and hardware leadership.
- Material customer exposure across enterprise and industrial buyers.
- A platform to build out the product management function as the company scales.
- Compensation aligned with experience, with a meaningful equity component.

📌 Product Owner, Vision AI Platform (Chennai)
🏢 Lifo Technologies
📍 Chennai

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