Technical Product Manager – Vision Analytics & AI Infrastructure

About the Role

We are looking for a Technical Product Manager (TPM) to lead our Vision Analytics & Vision Management System (VMS) vertical. You will bridge the gap between computer vision engineering and commercial scalability, driving both new 0-to-1 video intelligence capabilities and the optimization of our existing platform.

Your primary north star will be commercial ROI and unit economics: working closely with engineering to slash GPU compute costs, define hardware-sizing benchmarks, and turn high-compute vision models into profitable, scalable products.

What You’ll Do

• Own the product roadmap for video analytics and VMS, covering new builds and legacy modernization.
• Define and track unit-economics metrics such as cost-per-camera-stream and streams-per-GPU targets.
• Drive model quantization and compression initiatives in partnership with engineering.
• Set hardware-sizing benchmarks and guide edge vs. cloud deployment decisions.
• Translate customer and business needs into clear technical requirements and priorities.
• Balance accuracy, latency, and compute cost when making product trade-offs.

Key Requirements

• Vision Unit Economics & GPU FinOps: Proven track record of managing the infrastructure cost of computer vision products, specifically optimizing cost-per-camera-stream, defining streams-per-GPU density targets, and driving model quantization/compression initiatives alongside engineering.
• Greenfield & Brownfield VMS Ownership: Experience managing end-to-end video analytics products (CCTV/RTSP ingestion, VMS integrations, edge-to-cloud topology, alerting workflows) across both legacy system modernization and new product builds.
• Technical Trade-off Governance: Deep fluency in navigating accuracy (mAP) vs. latency (FPS) vs. compute cost trade-offs, utilizing product-level efficiency strategies like cascading inference, motion/ROI-triggered filtering, adaptive frame sampling, and edge vs. cloud workload balancing.
• Cross-Functional Leadership: Strong ability to work with ML and infrastructure engineers and communicate with technical and non-technical stakeholders.

Nice to Have

• Hands-on understanding of TensorRT, ONNX, DeepStream, Triton, or similar tooling.
• Experience with NVIDIA GPU platforms (T4, L4, A10, Jetson) and cloud GPU pricing models.
• Background in security, surveillance, retail, or industrial video analytics.

About Us

Super AI Polaris builds sovereign AI platforms designed for education systems, enterprises, and governments. Our solutions combine advanced artificial intelligence with practical deployment models to solve real-world challenges at scale.

Equal Opportunity

Super AI is an equal opportunity employer. We welcome applicants of all backgrounds and do not discriminate on the basis of gender, religion, caste, age, disability, or any other protected characteristic.

How to Apply

Send your resume to [email protected] with the subject line “Application – Technical Product Manager – Vision Analytics & AI Infrastructure”. Please include links to your GitHub, portfolio, or relevant project work where applicable.

Pay: ₹360,000.00 - ₹960,000.00 per year

Benefits:

• Paid sick time
• Paid time off

Work Location: In person