Lyzr AI

Senior Project Manager

Lyzr AI · Bengaluru, Karnataka, India

Technology, Information and Internet · 51-200 employees

Apr 28
Senior (5-10 yrs) Full-time India
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About the role

The Senior Project Manager will own the end-to-end delivery of complex AI agent deployments for enterprise clients, acting as the primary liaison between stakeholders and engineering teams. They are responsible for managing project scope, budgets, and governance while ensuring successful go-live and hypercare transitions.

What they look for

Project Management AI Agent Deployment Stakeholder Management Enterprise Delivery Agile Waterfall Jira Confluence MS Project Notion Risk Management SOW Drafting Technical Feasibility Client Success Cross-functional Leadership Data Platform Delivery

Requirements

Candidates must have 6-10 years of experience in client-facing project management roles, specifically within AI, ML, or SaaS platform delivery. A strong background in hybrid Agile-Waterfall methodologies and comfort interacting with C-suite stakeholders is required.

Full description

Professional Services -Service Practice

Full-time : Hybrid Experience : 6-10 years

About the Role

Lyzr.ai is on a mission to put enterprise-grade agentic AI in the hands of every organization. Our Professional Services team partners with marquee clients — from global consulting firms to Fortune 500 enterprises — to design, deploy, and scale Lyzr-powered AI agents in production.

As Senior Project Manager, you will own end-to-end delivery of these high-stakes engagements, acting as the connective tissue between client stakeholders, Lyzr's engineering pods, and Lyzr's product and commercial teams.

What You'll Own

Delivery & Client Success during deployment and managed services

  • Lead delivery of complex, multi-phase AI agent deployments (SOW through hypercare) for enterprise customers.
  • Define project scope, WBS, risk register, and governance cadence from kick-off; maintain a single source of truth for plan, budget, and status throughout.
  • Run executive steering committees and weekly client status calls; produce concise written updates that build trust and surface decisions early.
  • Manage client-side change requests and scope creep with a structured CR process, protecting both Lyzr's margins and client satisfaction.
  • Oversee UAT, go-live readiness, and hypercare handover to ensure every deployment enters production on a stable footing.

Team & Cross-functional Leadership

  • Coordinate across solution architects, AI/ML engineers, data engineers, and QA — typically 4–10 person cross-functional pods per engagement.
  • Partner with the Pre-Sales and Sales teams during deal closure to validate technical feasibility and shape realistic delivery timelines.
  • Act as an escalation point and unblock delivery impediments in real time; know when to escalate to Lyzr leadership vs. resolve independently.
  • Contribute to professionalizing the PS practice by refining delivery frameworks, project templates, RAID logs, and lessons-learned libraries.

Commercial Accountability

  • Identify and qualify expansion opportunities within active accounts, looping in the account team as appropriate.
  • Support SOW drafting and SLA definition for new and renewal engagements.

What You Bring

  • We're looking for a seasoned PM with genuine enterprise delivery chops and the commercial instinct to protect both client outcomes and Lyzr's business.

Experience: 6–10 years in client-facing PM roles

Domain: AI / ML / SaaS platform delivery

Certifications: PMP or PMI-ACP preferred

Methodology: Hybrid Agile-Waterfall delivery

Tools :Jira, Confluence, MS Project / Notion

Stakeholder tier C-suite / VP comfort required

Additionally, you will have:

  • Demonstrable track record delivering AI, automation, or data platform projects for enterprise or consulting clients.
  • Strong commercial instinct — comfortable reading an SOW, tracking utilization burn, and having honest conversations about scope.
  • Excellent written and verbal communication; able to simplify technical nuance for business audiences and translate requirements for engineers.
  • Bonus: prior experience with agentic AI frameworks, LLM-based products, or RPA / intelligent automation programs.
  • Bonus: background in Big-4 consulting, systems integration, or a high-growth AI startup.