--- title: 'Product Manager - AI at SpotDraft' canonical: 'https://feeny.ai/job/product-manager-ai-spotdraft-bengaluru-67eb4g9f5art' type: 'job' last_seen: '2026-09-10' --- # Product Manager - AI at SpotDraft - **Company:** SpotDraft - **Location:** Bengaluru, India - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-08-14 - **Last confirmed live:** 2026-09-10 - **Apply:** https://jobs.ashbyhq.com/spotdraft/88fc1f00-e546-463a-8ba0-78bc89a95cc6 ## Job description ## 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 ## About SpotDraft ## Company Overview - **One-liner**: SpotDraft is an AI-native contract lifecycle management (CLM) platform that automates the end-to-end contract process for legal, sales, finance, and HR teams. - **Entity Type**: Private (Series B-II) - **Headquarters**: Bengaluru, India (global HQ) and New York, NY, USA - **Founded**: 2017 - **Founders**: Shashank Bijapur (CEO) and Madhav Bhagat (CTO) ## Core Business - **Primary industry/industries**: Legal Technology, Contract Lifecycle Management (CLM), AI-powered SaaS - **Target customers**: B2B, serving legal, sales, finance, HR, and procurement teams at mid-market to enterprise companies - **Mission or purpose statement**: “We believe humans should do human work and leave the paper pushing to technology.” The company aims to free legal teams from mundane tasks and unlock their true potential. ## Products & Services - **AI-Native CLM Platform**: End-to-end contract automation covering request, drafting, negotiation (redlining), approval workflows, e-signatures, and a centralized contract repository. - **Contract AI (VerifAI)**: Built-in AI that understands context, follows user-defined rules, and flags risky language during negotiations. Designed to adhere to California State Bar and ABA guidance on generative AI. - **Clickwrap Agreements**: Support for digital consent capture. - **Negotiation & Collaboration Tools**: Shared workspaces for legal and business teams to review and redline contracts in Word, Slack, or within SpotDraft. - **ESignatures**: Native e-sign capabilities compliant with ESIGN and eIDAS. - **Analytics & Intelligence**: Dashboards for contract data insights—renewals, bottlenecks, team workloads, and performance metrics. ## Market Standing - **Valuation/Total Funding**: $90.61 million total raised (latest round: $8M Series B-II, announced in 2025) - **Key Metric**: Annual revenue estimated at $13.2M (LinkedIn estimate); trusted by 450+ companies - **Notable Investors/Partners**: Key investor includes Qualcomm (partnered for $8M raise); backed by prominent venture capital firms - **Growth Signals**: 340 employees (up 16.8% YoY); operates in 7 countries (India, USA, and others); expanding global footprint with big brands; recently launched AI capabilities with strong regulatory compliance focus ## Competitive Advantages - **AI-native design**: AI is embedded into every part of the platform rather than bolted on, giving it deep contextual understanding of contracts. - **Speed to value**: Go-live in weeks (not months) with in-house implementation and a dedicated customer success manager. - **Security-first**: Industry-leading security and compliance standards; AI built to respect data privacy (on-device AI emphasis). - **Founder pedigree**: CEO is a Harvard-trained lawyer and former White & Case attorney; CTO is a Carnegie Mellon grad and ex-Google/Microsoft engineer. ## Strategic Focus - **Global expansion**: Actively building presence across the Americas, EMEA, and India. - **AI leadership**: Continuing to invest in on-device, secure AI that gives legal teams control while maximizing automation. - **Enterprise adoption**: Targeting larger, regulated companies that need compliant, auditable contract management. - **Product depth**: Enhancing analytics, workflow automation, and integrations to become the “system of record” for contracts. ## Why Work Here - **Culture**: Team values include “Be Transparent. Be Direct,” “Be Audacious,” “Elevate Each Other,” “Outcomes over everything else,” and “Become 1% Better everyday.” Emphasis on ownership, experimentation, and customer delight. - **Work policy**: Flexible work schedule; pet-friendly offices; remote/hybrid options available. - **Perks**: Medical insurance coverage, mental health wellness support, professional development allowance, incentivized rewards and recognition platform. - **Engineering culture**: Led by a CTO from Google/Microsoft; strong focus on building a world-class development team and a globally recognized SaaS brand. - **Mission-driven**: Opportunity to work on a product that directly transforms how legal teams operate—using AI to automate tedious, repetitive work. ## Sources 1. [SpotDraft About Us](https://www.spotdraft.com/about-us) 2. [SpotDraft Homepage](https://www.spotdraft.com/) 3. [SpotDraft Careers](https://www.spotdraft.com/careers) 4. [CB Insights - SpotDraft](https://www.cbinsights.com/company/spotdraft) 5. 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