Vice President- Product

The Role :
We are looking for a Vice President- Product to own the end-to-end product strategy and execution for 1Source. You will define the platform architecture across all three sides, buyer, supplier, and 1Buy ops, build the agentic workflow layer, and shape how data intelligence from 1Data drives sourcing outcomes. This is a senior IC-plus-leadership role. You will lead execution, partner closely with AI and data engineering teams, and represent 1Source's strategy to leadership, enterprise customers, and partners.
 

What You'll Do :
1. Three-Sided Platform Strategy
• Define the product vision and roadmap across the buyer portal, supplier portal, and 1Buy internal ops console
• Design the interaction model between all three sides- how RFQs are initiated, how suppliers respond, how ops monitors and intervenes
• Own the anonymity and identity architecture- ensuring buyers and suppliers are appropriately shielded at every stage of the deal lifecycle
• Define onboarding, verification, and trust flows for both buyer and supplier sides
2. Agentic Product Design
• Identify and prioritise where AI agents replace or augment human workflows- RFQ generation, supplier matching, negotiation support, deal closure
• Partner with the AI team to define agent objectives, guardrails, escalation paths, and human-in-the- loop checkpoints
• Distinguish clearly between classical ML use cases (price forecasting, demand clustering, lead time prediction) and GenAI use cases (BOM parsing, RFQ drafting, supplier communication)
• Define agent observability requirements- what gets logged, monitored, and surfaced to ops teams
3. Data Intelligence Consumption (from 1Data)
• Work closely with the 1Data product owner to define what structured intelligence 1Source requires- component pricing signals, supplier reliability scores, availability forecasts
• Define data contracts and schemas that 1Data must fulfil for 1Source features to function
• Design how intelligence surfaces in the platform- dashboards, alerts, automated recommendations, deal triggers
4. Excess Inventory Liquidation- Sell Side
• Own the supplier-side product for excess inventory listing, RFQ response, pricing guidance, and deal execution
• Build workflows that allow OEMs and EMS companies to confidentially list excess stock and receive anonymous bids from verified buyers
• Define market-aware pricing features that help sellers understand fair value before listing
5. Leadership & Execution
• Lead multi-disciplinary squad spanning Product, Engineering, AI, and Data
• Write clear PRDs, data contracts, and measurable KPIs for every feature area
• Manage cross-squad dependencies, run agile ceremonies, and maintain delivery velocity in a fast- moving environment
• Translate feedback from OEM and EMS customers into precise, prioritised product requirements

What We're Looking For Must-Have
• 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, 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