
Description :
Requirements :
- 6+ years of product management experience, with at least 2 years in a senior or lead role on a B2B SaaS platform.
- Demonstrated experience building multi-sided platforms or complex procurement or sourcing products.
- Strong understanding of agentic AI systems- ability to scope agents, design human-in-the-loop flows, and write AI product requirements.
- Exposure to sourcing, eProcurement, or RFQ/auction workflows in an industrial or technology context.
- Ability to define data contracts and work with data engineering teams on schema design and pipeline requirements.
- Proven track record leading cross-functional squads in fast-moving, high-growth environments.
- Excellent written and verbal communication- able to translate complex technical and domain concepts for both technical and business audiences.
Preferred :
- Electronics engineering background (B. E. /B. Tech. in Electronics, ECE, or EEE) or equivalent hands-on knowledge of electronic components is strongly preferred.
- Working familiarity with component categories- semiconductors (ICs, MCUs, FPGAs), passives (resistors, capacitors, inductors), connectors, and electromechanical parts and component lifecycle concepts (EOL, NRND, active, last-time-buy).
- Prior experience at, or building products for, OEMs, EMS/Contract Manufacturers, or electronics distributors.
- Exposure to platforms such as Digi-Key, Arrow, Mouser, Avnet, Cofactr, CalcuQuote, Supplyframe, or Verical in a product, strategy, or engineering capacity.
- Understanding of excess and obsolete (E& O) inventory workflows in electronics supply chains.
Good to Have :
- Experience with GenAI product development- RAG pipelines, vector/embedding search, and LLM-based workflow automation.
- Exposure to BI tooling and dashboard design in a product context.
- MBA or post-graduate degree in technology management from a premier institution.
Didn’t find the job appropriate? Report this Job