Engineering Manager, Enterprise

The Role

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'll lead and grow the team, balancing rapid custom solution delivery with building 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.

What You’ll Do

• Lead & Scale Enterprise AI Team – Manage and grow engineering teams focused on core platform components such as developer tooling, infrastructure abstraction, and shared services.
  
  
• 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.
  
  
• Mentor & Develop Talent – Hire and grow the team, mentor senior engineers, and maintain a high-performance culture with customer-facing engineers.
  
  
• 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.
  
  
• Cross-Functional Collaboration – Work with Security, SRE, Product, and GTM partners to align platform efforts with business needs.
  
  
• Cross-Functional Collaboration – Work with Sales, Customer Success, Product, and engage directly with enterprise customer technical teams and stakeholders.
  
  

What We’re Looking For

• 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.
  
  
• Deep technical expertise building and scaling production AI systems, with a strong understanding of reliability, performance, and customer-facing deployments.
  
  
• 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.

Bonus: Experience with LLM deployment, AI agent frameworks (LangGraph), agent evaluations, multi-turn agent orchestration, LLM observability/monitoring, fine-tuning, or building AI platforms.

BENEFITS

• Open and transparent culture 
• Life insurance, long and short-term disability coverage
• Paid maternity and paternity leave
• Fertility Benefits
• Generous vacation time, plus three 4-day summer holiday weekends
• Excellent medical, dental, and vision benefits
• 401k Plan with company matching
• Bi-annual swag drops with cool Podium gear and apparel 
• A stellar HQ (Utah) gym with local professional coaches and classes offered
• Onsite HQ (Utah) child care center, subsidized for employees

Podium is an equal opportunity employer. Podium provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, national origin, sexual orientation, gender identity or expression, age, disability, genetic information, marital status or veteran status.