Product Owner

Key Responsibilities:

Own the execution of end-to-end product lifecycle for Reklaim hardware products: from concept and prototyping to manufacturing, QA and field deployment

Serve as the glue between engineering functions (AI, data science, embedded systems, mechanical design, fabrication) to ensure aligned execution and milestone delivery

Collaborate with cross-functional teams to develop modular, scalable, and demography-aware devices (urban/rural fit, portable, low-MOQ deployable)

Translate business goals into detailed product requirements, user stories, and acceptance criteria for agile hardware-software co-development

Drive initiatives for cost optimization (BOM reduction, shared inventory use), feature refinement, and design miniaturization

Maintain and evolve a clear product roadmap, aligning hardware releases with AI and cloud integration timelines.

Facilitate sprint planning, reviews, and daily stand-ups to ensure visibility, prioritization, and velocity of deliverables

Engage with procurement, EMS vendors, and QC teams to ensure timely production, quality assurance, and compliance

Act as the voice of the customer - conduct feedback loops, user testing, and field trials for continual improvement

Own and evolve product documentation, specs, testing plans, and validation reports for each SKU.

Qualifications:

Bachelors or Master’s degree in Electronics, Mechanical, Industrial Design, or a related engineering field

3 to 6 years experience as a Product Owner or Technical Program Manager, preferably in IoT, embedded systems, or AI-hardware integration

Strong acumen in embedded firmware, mechanical integration, and edge AI use-cases (e.g., image classification, object detection)

Familiarity with hardware life cycles: from PCB design, component sourcing, to fabrication and enclosure validation

Experience working in agile teams and familiarity with hardware/software co-development cycles

Understanding of AI model integration, OTA pipeline design, and managing cross-device intelligence features

Excellent communication skills and ability to translate technical details into actionable business insights

Preferred Skills:

Exposure to AI/ML, particularly in computer vision, object detection, or model deployment on edge devices

Experience coordinating with EMS vendors, fabrication shops, and certification agencies

Working knowledge of OTA pipelines, eSIM fleet management, and device-level cybersecurity

Past experience in delivering cost-sensitive products for Indian or emerging markets

Familiarity with UX for hardware and feedback mechanisms via mobile/web interfaces