Senior Project Manager

Lyzr AI

India

On-site

INR 3,000,000 - 5,400,000

Full time

14 days+

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Job summary

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—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.

Qualifications

  • 6–10 years of client-facing PM experience in AI/SaaS.
  • Experience delivering enterprise AI/data platform deployments.
  • Strong commercial instincts for SOWs, budgets, and scope.
  • Certifications preferred: PMP or PMI-ACP.
  • Hybrid Agile-Waterfall delivery mindset.

Responsibilities

  • Lead end-to-end delivery of AI agent deployments.
  • Define scope, WBS, risk, and governance across engagements.
  • Run executive steering and client status updates.
  • Manage change requests to protect margins and satisfaction.
  • Oversee UAT, go-live readiness, hypercare.
  • Coordinate across architects, AI/ML engineers, data engineers, QA.

Skills

Enterprise delivery
Stakeholder management
Hybrid Agile-Waterfall
PMP or PMI-ACP
Jira
Confluence
MS Project
Notion

Education

PMP or PMI-ACP certification

Tools

Jira
Confluence
MS Project
Notion

Job 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
  • 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 elevate 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.
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