Engineering Manager, Enterprise

At Podium, we bring AI Employees to local businesses that turn every conversation into revenue. Trusted by 60,000+ businesses across Auto, Home Services, and Aesthetics, Podium captures and converts leads 24/7, driving both new business and repeat customers.

In under 24 months, we crossed $100M in AI Agent ARR, scaling 300% year-over-year. During this time, we’ve deployed 10,000 AI employees to empower real business outcomes for our customers. Podium is building what we believe will be the most impactful AI employee ecosystem for local business.

Podium has been recognized as the Best AI Implementation by Inc. Magazine, highlighted by OpenAI for building revenue-driving AI Agents, and awarded the #1 AI Agent for Business Operations by G2.

Our growth is fueled by hiring exceptional people, holding them to high standards, and creating opportunities for them to grow and make an impact.
Our operating principles guide daily behavior and ensure we hire people who will thrive  you're hungry for growth, aligned to our operating principles, and ready to get to work, you won’t find a better place to learn and accelerate your career.

We are looking for an Engineering Manager to lead the Enterprise AI team — a group dedicated to building custom conversational AI agent solutions for Podium's largest customers. This team extends Podium's core AI agent platform which handles millions of customer interactions monthly across text and voice. You will drive the delivery of high-value custom AI solutions, balancing rapid execution for Podium’s largest customers with the architectural discipline to build reusable platform capabilities.

This is a hands‑on technical leadership role where you'll own the full lifecycle from customer requirements through architecture, deployment, and production support—directly impacting revenue through enterprise customer success.

• Drive Engineering Execution & Delivery – Lead a team of senior engineers to ship custom enterprise solutions alongside core platform components like developer tooling, infrastructure abstraction, and shared services. Foster a culture of technical excellence and speed without sacrificing reliability.
• Drive AI Agent Reliability & Performance – Ensure conversational AI systems across text and voice channels deliver high accuracy, low latency, and production reliability for enterprise workloads at scale.
• Deliver Enterprise AI Solutions & Inform Platform – Partner with Sales, Customer Success, and customers to scope and deliver custom AI solutions; collaborate with Product Engineering to extract learnings into reusable platform capabilities.
• Technical Strategy & Roadmap – Define and execute a roadmap that balances custom enterprise AI solution delivery with building platform capabilities that enable faster future delivery.
• Be Hands‑On – Contribute code to production systems and actively participate in architecture, design reviews, code reviews, and critical technical decisions alongside your senior engineering team.
• Platform & Security Alignment – Work with Security, SRE, Product, and GTM partners to align platform efforts with business needs.

• 2+ years of engineering management experience with hands‑on technical leadership; comfortable working directly on architecture and technical decisions with senior engineers who need less day‑to‑day management.
• 5+ years of hands‑on software engineering experience, with a track record of building distributed systems or data‑intensive applications.
• Proven success delivering AI solutions for customers with experience shipping custom conversational AI agent solutions, integrating with enterprise systems, and extracting reusable patterns for future efficiency.
• Proven ability to lead high‑performing teams through complex challenges in a fast‑paced, startup environment.
• Strong communication skills and a collaborative mindset. You can align technical roadmaps with business outcomes.
• Experience with hiring, mentoring, and developing engineering talent.

Experience with LLM deployment, AI agent frameworks (Lang Graph), agent evaluations, multi‑turn agent orchestration, LLM…