[Hiring] Staff Talent Operations Engineer @Anaconda, Inc.

Role Description

We're building AI-powered talent infrastructure that scales Anaconda from 450 to 1,000+ employees. As Staff Talent Operations Engineer, you'll reimagine how we hire and develop talent by blending recruiting operations expertise with hands-on AI engineering. You'll own the technical backbone of our entire talent lifecycle—from building agentic AI solutions that source and coordinate candidates, to optimizing our ATS architecture, to creating AI fluency programs that raise our company-wide technical bar.

• Own our Rippling ATS end to end, including data structure, templates, workflows, and automations, so the system matches how we actually hire.
• Build and run recruiting reporting, from day-to-day funnel metrics for recruiters to dashboards for executives, and ensure the data behind them is clean and trusted.
• Spend real time with recruiters, interviewers, and hiring managers to find where hiring slows down or breaks, then fix it.
• Treat our recruiting process as never finished. Track what’s working, measure the time you save, and keep improving.
• Grow Conda Hire, our AI hiring application, from a hiring manager tool into a full platform for recruiters, interviewers, and hiring managers.
• Build and ship AI tools with Claude and similar models, including agents that source and coordinate candidates using Apollo through MCP.
• Take AI tools from quick prototypes to production on AWS, with monitoring and guardrails.
• Build custom integrations where our platforms fall short, without cutting corners that cause problems later.
• Work with IT, security, and legal so your tools pass review, while still shipping quickly.
• Run your work like a product, with a roadmap, a backlog, and regular releases tied to real recruiting needs.
• Partner with our Development team on AI fluency programs and help build them into how we interview and assess talent.

Qualifications

• 6+ years in recruiting operations, including hands-on ownership of an ATS or HRIS, its data structure, and its reporting.
• Experience working in a fast-paced, high growth, startup environment.
• Strong data skills. You can build reports and dashboards, find the story in hiring data, and spot when the data is wrong.
• A track record of improving recruiting processes, with measurable results like hours saved or faster time to hire.
• Hands-on experience building AI applications with large language models such as Claude, including agents like schedulers, chatbots, or workflow assistants.
• Experience taking prototypes to production and running applications on AWS or a similar cloud platform.
• Experience getting non-technical teams to adopt new tools through rollout, training, and clear communication.
• Experience working through security and compliance reviews for tools you built.
• Comfort working on your own on new projects with little documentation, and leaving behind documentation others can use.
• You embody our values: Curious by Default, Build Together, Own It, and Lead with Guts and Heart, and our behaviors: Clarity, Care, and Candor.
• You care deeply about building an environment where people of all backgrounds and experiences can flourish.

Requirements

• You've built recruiting operations infrastructure at a fast-paced startup where moving quickly with imperfect information was the norm.
• You’ve built custom Model Context Protocol (MCP) connections for specialized data sources.
• You’ve used AI to build business-critical applications, not just side projects.
• You’ve worked at an open-source, AI, or data science company.
• You’ve hosted and tuned AI models in production, including managing token costs and model performance.
• You describe specific recruiter pain points you've solved with measurable time saved, demonstrating genuine empathy for hiring workflows.
• You balance automation with human judgment, choosing a simple non-AI fix when it's the better solution.

Benefits

• Flexible Vacation Policy
• Medical, Dental, and Vision Insurance
• Short Term and Long Term Disability
• Paid Parental Leave
• Monthly Wellness Stipend
• Employee Assistance Program and Mental Health Resources