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

- Own the roadmap to improve document/data extraction accuracy against defined targets, including major build-vs-improve calls on the underlying approach, in partnership with ML/engineering.

- Define what "accurate enough to trust" means for each use case, and track progress against it on a live, shared metric.

Agent runtime & governance

• - Own product requirements for the runtime that lets AI agents take actions inside the product.
• - Own the governance layer: audit trail, explainability, human-in-the-loop escalation, policy enforcement, and tenant isolation. This is what makes an AI-driven action safe to ship, not just possible to build.
• - Define a policy-bounded interface for agent-triggered actions, so actions stay within defined guardrails without requiring engineering review per action.

Platform-as-a-service discipline

• - Define and maintain a self-serve interface so other product teams can build on this platform without filing a ticket to a single engineer for routine requests.
• - Partner with adjacent platform owners (e.g., core integrations/data) so teams building on top see one coherent surface, not competing conventions.
• - Push back on one-off requests that would turn the platform back into a bottleneck.

What success looks like (first 2-3 quarters)

• - A clear, evidence-based call made on the extraction approach, with a dated accuracy trajectory behind it rather than opinion.
• - Defined accuracy targets met on priority use cases, tracked on a live dashboard.
• - At least one AI-driven agent live in production with the escalation/governance loop actually working, not just the underlying model.
• - At least one other product team consuming the platform self-serve, with no standing ticket queue for routine requests.
• - Usage and override rates on agent-triggered actions instrumented and reviewed.
• Requirements:
• - 3+ years in product management, including a stretch owning a platform, API, or infrastructure-facing product used by other internal teams, not exclusively customer-facing feature work.
• - Direct experience shipping ML/AI-backed product where trust and accuracy were the product, not a feature bullet. You’ve defined a precision/recall bar and held engineering to it.
• - Working fluency in what “governance” means for an AI system in production: audit trails, explainability, human-in-the-loop design, policy enforcement, tenant/data isolation. You don’t need to have built all of these, but you’ve shipped alongside at least one and know why each exists.
• - Comfortable owning a roadmap with genuine capability uncertainty and communicating that uncertainty honestly to stakeholders instead of smoothing it over.
• - Platform-PM instincts: default to “how do I make this self-serve” over “how do I build this feature for one team” Says no to scope creep that would make you a bottleneck.
• - Senior-level autonomy: given a problem area rather than a spec, you set the why, frame the what and how, and are trusted with the area’s roadmap and prioritization end to end.

Nice to have

- Prior experience in a regulated domain where explainability/audit was a hard requirement rather than a nice-to-have.

- Exposure to agent-action protocols (e.g., MCP) or policy-engine design for agentic systems.

Bonus points

• None of these are required, but they will set you apart:
• - CLM, legal-tech, or contracts domain experience.
• - Direct customer-facing experience in a Sales, Customer Success, Solutions, or pre-sales role or a track record of close partnership with those teams.
• - Experience shipping AI-native or AI-assisted products to production.
• - A background in a fast-scaling B2B SaaS environment.
• Why SpotDraft?
• - Brilliant teammates—Work with some of the sharpest minds in legal tech.
• - Expand your network—Interact with top founders, investors, and industry leaders.
• - Real impact—Take ownership of projects and see your work in action.
• - Big goals, bold moves—We trust you to deliver, innovate, and push boundaries.

Our Core Values

• - Our business is to delight Customers - Be Transparent. Be Direct - Be Audacious - Outcomes over everything else - Elevate each other - Be Passionate. Take Ownership.
• - Be 1% better every day
• All candidates’ personal data shared during the recruitment process will be handled with utmost confidentiality and used solely for hiring purposes, in line with applicable data protection regulations.
• *SpotDraft is an equal-opportunity employer. Candidates will not be discriminated against based on race, ethnicity, color, religion, caste, sex, gender identity, sexual orientation, national origin, veteran, or disability status