Senior Technical Project Manager - Applied AI
Bengaluru, India
Why join Lyzr?
Picture the back office of a large company run by teams of AI agents, with people reserved for the calls that need judgment. If Lyzr wins from its Jersey City base, its agent framework becomes the default way enterprise software gets wired to AI. A $100M Series B, bigger than three in four rounds at its stage, and 11 new roles in 30 days say the build is already underway.
JustBacked's take, based on Lyzr's own site and its funding and hiring data.
Lyzr is an enterprise software company that helps large organisations put AI agents — software that handles real tasks on its own — to work in their everyday operations. Most companies’ AI projects never move past the pilot stage; Lyzr provides the platform that takes them into dependable, day-to-day use. Today, 500+ enterprises build on Lyzr, more than 1,000 agents run live in production, and 85% of Lyzr projects reach production against an industry average of roughly 30%. Customers include Accenture, WTW, Hitachi, and Verifone, and the company recently raised $100M at a $500M valuation.
About the roleAs a Senior Technical Project Manager on Lyzr's Applied AI team, you will own the delivery of enterprise AI agent deployments for 2–4 North American clients at a time. You'll lead the technical team, run the client relationship with executive stakeholders, and take each deployment from kickoff to production.
This is a hands-on role. We need someone who can get into API integrations, data pipelines and LLM behaviour with engineers, not someone who delegates all the technical work.
What you'll doOwn end-to-end delivery of enterprise AI implementations for 2–4 clients at the same time
Be the main delivery contact for client executives and technical stakeholders in North America
Lead and guide a technical team of 8–10 engineers across scoping, build, testing and go-live
Work through integration details with engineers and clients: APIs, data pipelines, cloud set-up, SSO and security reviews
Plan and track LLM application work, including RAG, tool calling, evaluations and guardrails
Run change control: manage scope changes, timelines and their impact on cost and delivery
Manage service delivery after go-live, including SLAs, escalations and continuous improvement
Report clearly on status, risks and decisions to clients and Lyzr leadership
8–12 years of experience, including 5+ years leading enterprise software implementations
2+ years delivering GenAI, ML or conversational AI projects
Proven delivery for North American enterprise clients, with direct client-facing ownership
Experience leading technical teams of 8–10 people
Hands-on technical fluency in API integrations, data pipelines, SSO and security reviews
Working knowledge of LLM applications: RAG, tool calling, evaluations, guardrails and handling hallucinations
Experience with AWS, GCP and/or Azure
Strong change control and service delivery management skills
Comfortable working with US time zones and presenting to executive stakeholders
Experience at an agentic or AI-native product company, or the AI practice of a digital engineering firm
Notice period of 30 days or less
Technical round
Technical deep dive
Culture fit conversation with the hiring manager