Vice President of Product

VP of Product

Leena AI · New York, United States · Full-time · Posted 2026-11-09

Salary: USD 225,000–300,000

Workplace: on_site

Department: Engineering

Description

About Leena AI

Leena AI is an enterprise agentic AI platform for HR, IT and Finance. Our AI Colleagues don't just answer employee questions — they run the work behind them: case handling, approvals and transactions across systems like Workday, SAP SuccessFactors and ServiceNow.

We compete — and win — against ServiceNow + Moveworks, Workday Illuminate and vertical point solutions. We do it with vendor-agnostic, cross-functional orchestration, the broadest connector coverage in the category, and deployments measured in weeks, not quarters.

The business is working: ARR has passed $20M and tripled in the last 12 months. Gartner has named us a Leader in agentic AI three times running, and hundreds of enterprises — including Nestlé and Coca-Cola — run on Leena AI. We're headquartered in New York, with our product and engineering hub in Gurugram.

The role

We're hiring a VP of Product to own what Leena AI builds, why, and how we know it worked. You'll report to Adit Jain, our co-founder and CEO, and lead the product org across our pods — knowledge management, AI Colleague Studio, integrations, and the HR, IT and Finance agents.

We've built the platform. The next stage is harder: turning a strong agentic platform into the system of record for back-office work, while competing against incumbents who own the underlying systems. That takes a product leader who can set a sharp strategy, decompose it into metrics, and carry senior rooms — internally and with Fortune 500 CIOs and CHROs.

This is not a roadmap-routing role. We want someone who decides, holds a line under pressure, and builds a product org that does the same.

What you own

• Product strategy and vision. Define where Leena AI wins over the next 24 months — which back-office workflows we go deep on across HR, IT, Finance and Legal, and where we stay horizontal. Turn that into a multi-quarter roadmap the company can bet on.
• The metric tree. Own a clear north star (e.g., autonomous resolution rate, or work completed end-to-end without a human) and the decomposed tree of input metrics beneath it, with owners and quarterly movement targets for every pod. If a pod's plan is a list of features rather than a model of its metric, send it back.
• The agentic platform. Set direction for AI Colleague Studio, our agent orchestration layer, voice, and the knowledge layer — so customers' builders can design, test, govern and deploy agents themselves without raising a ticket with us.
• Integrations as a moat. Keep our connector breadth and depth ahead of the market — Workday, SAP SuccessFactors, ServiceNow, Oracle, ADP, Salesforce and Microsoft 365 — and make sure agents land transactions correctly across them.
• Enterprise trust. Make data residency, audit trails, explainability, permissions and agent guardrails first-class product features, not RFP afterthoughts.
• Field to product loop. Partner with Forward Deployed Engineering, Solutions and our HR domain leads so what we learn in each implementation ships to the next customer by default. Cut time-to-value release over release.
• Go-to-market alignment. Work with Sales, Product Marketing and Demand Gen on positioning, packaging and pricing. Be in the room for strategic deals, QBRs, customer advisory boards and analyst briefings.
• Team. Lead and grow a team of product managers and designers across New York and Gurugram. Raise the bar on PRDs, metric thinking and customer presence. Hire well and fast as we scale.
• Operating cadence. Run planning, roadmap reviews and launch readiness with Engineering, Design, CS and Sales on a single prioritized backlog.

Requirements

What we're looking for

• 12+ years in product, 5+ leading product teams — including product leaders managing PMs — at high-growth B2B SaaS companies selling to the enterprise.
• You've shipped to CIO, CHRO or CFO buyers. You understand that enterprise trust means data residency, audit trails, sub-processor transparency and the ability to explain a wrong answer — not just model quality.
• Platform and AI depth. You've owned an AI, automation, workflow or integration platform. You can reason about LLM agents, retrieval, evaluation and guardrails with your engineering leaders — and you know where today's models break.
• Metric decomposition and structured bets. Given a north star, you sketch the input tree, pick the two or three highest-leverage inputs for next quarter, and propose sequenced bets with expected movement.
• Stakeholder leadership. You've run a product org where decisions routed through founders, Engineering, Sales and CS — and you held the line on a contested call. You can walk us through why it held.
• CIO-level communication. You can run a QBR, a technical deep-dive or an escalation with a Fortune 500 executive team and leave with decisions, not just sentiment. You sound like a peer, not a vendor.
• AI builder, not just AI user. You prototype with LLMs and agent tools yourself, and hold your team to the same standard.
• Systems thinking. You treat backend scale (connector sync, retrieval latency across hundreds of tenants) and the admin experience as one problem, not two.
• Builder mentality. You don't wait for a playbook. Speed over polish, with the judgment to know when polish matters.

Nice to have

• Experience in the ITSM, HCM or employee service ecosystem — ServiceNow, Workday, SAP SuccessFactors, Moveworks or similar.
• Background in RAG, search and ranking, agent orchestration, or enterprise knowledge systems.
• Experience leading distributed product teams across the US and India.
• Pricing and packaging experience for AI or usage-based products.
• Engineering degree, or an early career as an engineer.

Signals we value

• You've rewritten a strategy after a week because the first version wasn't a real bet.
• You can name the three metrics your last product lived or died by, and what moved them.
• You've said no to a large customer and kept the account.

Benefits

Why this role

• Define the category. Agentic AI for the back office is being decided now. You'll set how Leena AI wins it.
• Real scale, real momentum. Hundreds of enterprise customers, $20M+ ARR growing 3x, and a platform that already works — this is about where to take it, not whether it works.
• Seat at the table. You report to Adit Jain, co-founder and CEO, and shape company strategy alongside the founders and executive team.

Apply

Apply at Leena AI

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