VP - Product Management (Agentic AI)

Azuti Services; India; On-site; INR 2,500,000 - 3,400,000; Full time

Job summary

Azuti Services in India seeks a senior IC-plus-leadership product leader to own end-to-end strategy and execution for a multi-sided sourcing platform. You will define the platform architecture across buyer, supplier, and ops, and shape data-driven outcomes with AI integration.

This senior role leads execution, partners with AI and data teams, and represents strategy to leadership, enterprise customers, and partners.

Qualifications

• 6+ years of product management experience, including 2+ years in senior or lead roles on a B2B SaaS platform.
• Proven track record building multi-sided platforms or complex procurement products.
• Strong understanding of agentic AI systems and human-in-the-loop design.
• Experience with sourcing, eProcurement, RFQ/auction workflows in industrial contexts.
• Ability to define data contracts and collaborate with data teams on schemas.

Responsibilities

• Define product vision and roadmap across buyer, supplier portals, and ops console.
• Design interaction model for RFQs, supplier responses, and ops monitoring.
• Own anonymity and identity architecture across the deal lifecycle.
• Define onboarding, verification, and trust flows for buyers and suppliers.
• Identify where AI agents replace or augment workflows (RFQ generation, supplier matching).
• Partner with AI team to define objectives, guardrails, escalation, and human-in-the-loop checkpoints.
• Differentiate classical ML use cases from GenAI use cases in the product.
• Define data contracts and platform dashboards, alerts, and automated recommendations.
• Lead OEM/EMS workflows to list excess stock and receive anonymous bids from buyers.
• Write PRDs, data contracts, and KPIs for features.
• Manage cross-squad dependencies and maintain velocity in a fast-moving env.

Skills

Product management

Multi-sided platforms

Agentic AI systems

Sourcing workflows

Data contracts

Cross-functional leadership

B2B SaaS

Job description

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 precise, 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.

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 manager from a premier institution