About Anaconda Be at the center of AI
Anaconda is built to advance AI with open source at scale, giving builders and organizations the confidence to increase productivity, and save time, spend and risk associated with open source. 95% of the Fortune 500 including Panasonic, AmTrust, Booz Allen Hamilton and over 50 million users rely on the value The Anaconda AI Platform delivers through a centralized approach to sourcing, securing, building, and deploying AI. With 21 billion downloads and growing, Anaconda has established itself as the gold standard for Python, data science, and AI and the enterprise-ready solution of choice for AI innovation. Anaconda is backed by world-class investors including Insight Partners. Learn more at https://www.anaconda.com.
Summary:
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.
What You'll Do:
- 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 make sure 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. This includes agents that source and coordinate candidates using Apollo through MCP. You’ll take them 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.
What You Need:
- 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 results you can measure, 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.
What Will Make You Stand Out:
- 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.
- Experience working in an open-source, AI, or data science-oriented company.
Why You'll Like Working Here:
- You'll thrive in a high-performance environment where results are recognized and rewarded
- Your work directly contributes to shaping the future of data science, machine learning, and AI in the enterprise.
- You'll work alongside a collaborative team that values diverse, thoughtful discussion, clarity and candor.
- You'll be supported by a culture that puts employees first - with flexible hours, a fully remote setup, and a genuine commitment to your wellbeing and growth.
The application deadline for this role is 01/10/2027; applicants will be reviewed on an ongoing basis until the role is filled.
The base salary range for this role is $135,000 - $180,000 for other US-based team members, along with annual bonus potential, equity participation, and benefits.
Our salary ranges are determined by role, level, and location. Within the range, individual compensation is determined by various factors, including work location, job-related skills, experience, and relevant education or training. Your recruiter will provide more specific details on the salary range for your preferred location during the hiring process.
In addition to base salary, we offer a comprehensive benefits package that includes:
- 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
An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
Anaconda, Inc. (“We”, “Us”) are committed to protecting and respecting your privacy. This Privacy Notice sets out the basis on which the personal data collected from you, or that you provide to Us, will be processed by Us in connection with Our recruitment processes.
By clicking “Submit Application”, you acknowledge you have read our Privacy Policy and that Anaconda can retain your application data for up to 1-year, unless otherwise stated. For the purpose of the General Data Protection Regulation (“GDPR”) ”) and the version of the GDPR retained in UK law (the “UK GDPR”) the Data Controller is Vanessa Macilwaine.
Anaconda is an EEO/AA employer M/F/V/D.
