Manager, Site Reliability Engineering

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're looking for a SRE
Manager to help us build and run infrastructure that just works - even 'll lead a team of engineers who care as much about preventing incidents as they do about resolving them, and you'll bring a builder's mindset to reliability: automating toil, sharpening our observability, and increasingly, putting AI to work so humans can focus on the problems that actually need them.

This is a role for someone who's equally comfortable in a 1:1 coaching a direct report and in the middle of a SEV-1 driving toward resolution.

Your Team

• Coach, mentor, and grow a team of SREs — real career development, not just performance reviews on a calendar
• Hire and retain strong engineers; build a team people want to stay on
• Create a culture where blameless postmortems are the norm and people feel safe raising issues early
• Drive day-to-day project management for the team - running standups, grooming and tracking tickets, and keeping work visible to stakeholders

Reliability & Systems

• Own the availability and performance of production systems end-to-end
• Set the bar on SLIs/SLOs/SLAs and error budgets - and hold the team (and yourself) to them
• Run incident management: on-call, escalation, and the postmortems that actually change something afterward
• Push automation hard so the team spends less time on repetitive firefighting and more on durable fixes
• Own capacity planning, scaling, and disaster recovery strategy

AI-Augmented Operations

• Put AI investigation/incident agents to work proactively surfacing issues - degraded services, slow endpoints, anomalous error rates - before they page anyone
• Evaluate and tune AI/LLM-based tooling to cut down false positives and sharpen alerting
• Bring AI into the incident workflow itself: auto-summarizing incidents, suggesting root cause, drafting the first pass of a postmortem
• Know where automation should stop and human judgment should take over - and make that call
• Keep scouting for the next place AI can shave time off MTTR or catch something before a customer does

Cross-Functional Partnership

• Partner with Engineering, Product, and Security to bake reliability into the SDLC from the start, not bolt it on after
• Be the calm, clear voice coordinating stakeholders during major incidents
• Represent SRE in architecture reviews and roadmap conversations - and push back when reliability is an afterthought
• Translate reliability metrics and risk into language leadership can act on

Process & Strategy

• Keep runbooks and playbooks current - not aspirational documents nobody opens during an incident
• Track the metrics that matter: uptime, MTTR, MTTD, error budgets
• Drive continuous improvement in monitoring, alerting, and incident tooling
• Weigh in on budget and vendor decisions for observability and infrastructure

• 8+ years in SRE, Dev Ops, or Infrastructure Engineering
• 2+ years leading or managing a team
• Deep familiarity with distributed systems and cloud infrastructure (AWS, GCP, or Azure), plus Kubernetes/Docker
• Real experience with observability tooling - Datadog, Prometheus, Grafana, Honeycomb, Click House
• Comfort with CI/CD and infrastructure as code (Terraform, Ansible, or similar)
• A track record of owning incident management and building a genuine postmortem culture
• Strong scripting/programming chops (Python, Go, or similar)
• The ability to explain a gnarly…