Senior Product Manager - AI

ABOUT SPOTDRAFT

SpotDraft is an AI-native contract lifecycle management (CLM) platform built for in-house legal teams “Draft, review, sign & renew faster, with legal in charge” The platform spans the full contract lifecycle: workflow-driven creation, negotiation and collaboration (across Word, Slack, and SpotDraft), a centralised repository with search and access controls, analytics, and native e-signatures compliant with ESIGN and eIDAS.

AI runs through the product, not beside it:

DraftMate AI turns documents into templates by auto-detecting placeholders.

Smart Data Capture extracts contract metadata so teams can search and report on any term.

VerifAI speeds up contract review inside Microsoft Word with suggestions, redlines, and automated compliance checks.

Sidebar is a team of always-on AI legal assistants (agents) that handle contract review against your playbooks, regulatory monitoring, and legal research, connected to your contract repository.

On-device AI runs VerifAI (embeddings, clause extraction, risk scoring, edits) entirely on Snapdragon processors, backed by a January 2026 Qualcomm Ventures round.

Customers include Abnormal Security, IPSY, Guideline, and Chaberton Energy, with a typical go-live in weeks rather than months. SpotDraft is venture-backed (Series A and Series B, plus a

January 2026 Qualcomm Ventures extension) and runs across Bengaluru and New York.

Top Outcomes:

Why this role exists

Our product roadmap increasingly depends on AI doing real work inside the product: extracting structured data from documents, and running agents that take action on a user’s behalf. That only works if two things are true: the underlying extraction is accurate enough to trust, and every AI action is governed (auditable, explainable, escalated to a human when it should be, and safely isolated between customers).

This role owns that platform. You turn “the AI isn’t accurate enough yet” and “agents need guardrails” into a roadmap, a trust bar, and an interface that other product teams can build against without a standing dependency on one engineer.

Day to Day:

Extraction accuracy