Technical Operations Manager
About the role
About the role
Hi, my name is Bill Miksich, VP of Operations and I'm looking for a Technical Operations Manager to join our Strat Ops team.
You'll work alongside our existing Tech Ops Manager, to build, maintain, and scale the internal systems that keep the company running. The work is primarily about building AI-assisted internal tooling — partnering with our Automation/AI leads on agent infrastructure and evals, and building integrations across our stack (Linear, Ramp, Notion, Slack, Google Workspace, 1Password, Kandji, GCP). You'll work across teams — especially BizOps and People — identifying where toil can be automated, building solutions quickly, and leaving behind documentation that lets others self-serve.
This isn't a role where someone hands you a ticket queue. We operate like a startup — broad scope, fast iteration, high ownership. The right person doesn't need much direction to get moving; they talk to a stakeholder, understand the real problem, and start shipping.
What we value
- Builder mentality: You find genuine satisfaction in shipping internal tools that people actually use. You're biased toward building a small working version quickly over planning the perfect system for months.
- Ownership and autonomy: You identify what needs to be done, build it, and maintain it — without waiting to be told. When a team is blocked, you step in.
- Range without ego: You can hold a credible technical conversation with our CTO and turn around and explain the same system clearly to a finance manager. You adapt your communication to the room.
- Cross-functional curiosity: You actively look for where operational friction exists across the business. You don't wait for teams to come to you with a fully formed problem statement — you surface friction before it escalates.
- Pragmatic documentation: You write runbooks, wikis, and guides that people actually follow — not as an afterthought, but as part of how you build.
What you'll do
- 40% partnering with our Automation/AI leads on agent infrastructure, evals, and AI-assisted internal tools — including our internal IT support agent and other AI-powered workflows
- 30% building and maintaining internal automations and integrations across our stack using n8n, Python, TypeScript, and AI agents — spanning Linear, Ramp, Notion, Slack, Google Workspace, 1Password, Kandji, and GCP
- 20% documentation, runbooks, and enabling the rest of the company to self-serve through better systems
- 10% supporting broader Strat Ops and BizOps requests as they arise
What we're looking for
- 3-6 years in a technical generalist role — tech ops, IT engineering, platform engineering, or solutions engineering — at a B2B SaaS company, ideally at a scale where you had to wear multiple hats
- Demonstrated experience in Python, TypeScript/Node.js, or Go, with real systems you've built and maintained
- Hands-on familiarity with LLMs and agent frameworks (Claude, MCP, RAG, or similar) and a clear point of view on where they should and shouldn't be applied
- Practical experience integrating SaaS systems via APIs, webhooks, and workflow automation (n8n, Zapier, or custom orchestration)
- Comfort with at least one major cloud platform (GCP preferred) and familiarity with our core tool stack (Google Workspace, Slack, Linear, 1Password, Kandji, or equivalents)
- Working knowledge of identity systems (SSO/SCIM, Okta, etc.)