Product Manager - SaaS Domain

Description :

Note : Please read the Job Description carefully before applying. Do not apply if you're not the right fit.

- 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, 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 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, and deal triggers.

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.

- 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.

- 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.