Senior Technical Project Manager - Applied AI

Lyzr, in a minute

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 role

As 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 do

• Own 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

What we're looking for

• 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

Good to have

• 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

Interview process

1. Technical round

2. Technical deep dive

3. Culture fit conversation with the hiring manager