Role & responsibilities

We are looking for someone to own the end-to-end product strategy and execution . You will define the platform architecture across all sides- buyer, supplier, and Ops- build the agentic workflow layer, and shape how data intelligence from 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 strategy to leadership, enterprise customers, and partners.

What You'll Do

- Define the product vision and roadmap across the buyer portal, supplier portal, and internal ops console.
- Design the interaction model between all three sides- how RFQs are initiated, how suppliers respond, and 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.
- 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.
- Work closely with the product owner to define what structured intelligence it requires- component pricing signals, supplier reliability scores, availability forecasts.
- Define data contracts and schemas that must fulfil for it's features to function.
- Design how intelligence surfaces in the platform- dashboards, alerts, automated recommendations, and deal triggers.




- 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.
- Lead a 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 exact, prioritised product requirements.

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.

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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

Please share your updated resume at [email protected]

📌 VP - Product Management (Agentic AI) (Delhi)
🏢 Azuti Services
📍 Delhi