Salary
💰 $85,000 - $120,000 per year
About the role
- Automate processes, deploy AI into day-to-day workflows, and build systems that make operations scale.
- Work horizontally across the enterprise suite to unify data models, standardize processes, and create reusable building blocks company-wide.
- Design reliable, scalable workflows (SQL-backed, API-driven, Retool-powered) to eliminate manual work and improve velocity, quality, and cost.
- Identify high-leverage AI use cases (triage, routing, QA, forecasting, SOP generation) and implement tools to improve outcomes.
- Define, track, and improve core operational KPIs (productivity, quality, scalability) and own the metrics that move revenue and profitability.
- Stand up data models, dashboards, and processes for repeatable, auditable operations.
- Partner with Product, Engineering, and Account Management to scope requirements, align on SLAs, and deliver durable solutions.
- Drive projects end-to-end—requirements, design, build, launch, iterate—ensuring on-time delivery and measurable impact.
Requirements
- 2–5 years in technical ops, data/analytics, software, consulting, or similar in a fast-paced SaaS/tech environment.
- Technical fluency: Strong SQL (joins, windows, CTEs, performance basics); experience with Retool or similar internal tooling; comfort with APIs and basic web scraping.
- AI in practice: You know how to evaluate and deploy AI/LLM tools to real workflows (prompting, guardrails, basic evals).
- Systems thinking: Ability to translate business problems into data models, pipelines, and lightweight services that scale.
- Execution & ownership: Track record of driving projects from idea → shipped → adopted → measured impact.
- Communication: Clear, structured writing and stakeholder management across technical and non-technical partners.
- Bias to action: Comfortable in ambiguity, excellent at prioritization, and proactive about unblocking teams.
- Must be fully onsite, 5 days a week in our Mountain View HQ (acknowledgment required).