Recruiting Systems Analyst

About Anthropic

Anthropics mission is to create reliable interpretable and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers engineers policy experts and business leaders working together to build beneficial AI systems.

About the Role

Were looking for a Recruiting Systems Analyst to build the integrations and automations that power our recruiting function at scale. Youll work at the intersection of recruiting operations AI application and systems engineeringbuilding API integrations automating workflows across the candidate lifecycle and ensuring data flows correctly between systems.

Were looking for someone who can see a manual process understand the recruiting context behind it and ship a working solution. The ideal candidate has experience working within the recruiting or people function and picked up technical skills along the wayor has deep integration experience and genuine curiosity about how talent acquisition actually works. Either way you understand that the best automation respects the human moments in recruiting while eliminating the tedious ones.

What Youll Do

Build and maintain integrations between recruiting tools (Greenhouse GemModernLoop BrightHire) using APIs webhooks and automation platforms like Tines

Automate manual workflows across the candidate lifecyclefrom sourcing to offer toonboarding handoffs

Partner with Recruiting Operations to identify high-impact automation opportunities andtranslate them into technical solutions

Own the full lifecycle from discovery through deployment : scoping requirements withrecruiting users building prototypes gathering feedback and iterating to production

Troubleshoot and resolve integration issues ensuring data flows correctly betweensystems

Create documentation and lightweight enablement resources so the team can maintainand extend your work

Collaborate with internal engineering departments on shared infrastructure while owningthe middle layer of recruiting-specific automations

You May Be a Good Fit If You :

Have 5 years of experience in recruiting operations talent systems HR technology ora similar functionyou understand recruiting workflows and why they exist

Have hands-on experience building automations and integrations using platforms likeTines Workato Zapier or similar tools

Are comfortable working with APIs webhooksyou can read API documentation andbuild working integrations independently

Have used scripting languages (Python JavaScript) to solve problems even if youre nota software engineer by training

Excel at translating business problems into technical solutionsyou ask the rightquestions to understand what recruiters actually need

Have a track record of building trust with non-technical stakeholders and shippingproducts they actually use

Are willing to do the unglamorous work : sometimes the right solution is a well-built spreadsheet sometimes its a complex multi-system integration

Are excited about AIs potential to transform knowledge work and care about buildingsystems that are safe and beneficial

Strong Candidates May Also Have :

Experience with LLMs prompt engineering and AI application development

Experience administering Greenhouse at a configuration and API level

Familiarity with Workday integrations and HRIS data flows

Experience with data analysis reporting tools or building dashboards

Understanding of compliance considerations in recruiting (EEOC GDPR etc.)

Our Current Tech Stack

Greenhouse (ATS)

Gem (sourcing & CRM)

ModernLoop (scheduling)

BrightHire (interview intelligence)

Tines (automation)

Workday (HRIS)

JIRA (ticketing)

Outline (documentation)

Google Workspace

Slack

The annual compensation range for this role is listed below.

For sales roles the range provided is the roles On Target Earnings (OTE) range meaning that the range includes both the sales commissions / sales bonuses target and annual base salary for the role.

Annual Salary :

$170000 - $220000 USD

Logistics

Education requirements : We require at least a Bachelors degree in a related field or equivalent experience.

Location-based hybrid policy : Currently we expect all staff to be in one of our offices at least 25% of the time. However some roles may require more time in our offices.

Visa sponsorship : We do sponsor visas! However we arent able to successfully sponsor visas for every role and every candidate. But if we make you an offer we will make every reasonable effort to get you a visa and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy so we urge you not to exclude yourself prematurely and to submit an application if youre interested in this work. We think AI systems like the ones were building have enormous social and ethical implications. We think this makes representation even more important and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams remember that Anthropic recruiters only contact you addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money fees or banking information before your first day. If youre ever unsure about a communication dont click any linksvisit for confirmed position openings.

How were different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact advancing our long-term goals of steerable trustworthy AI rather than work on smaller and more specific puzzles. We view AI research as an empirical science which has as much in common with physics and biology as with traditional efforts in computer science. Were an extremely collaborative group and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic including : GPT-3 Circuit-Based Interpretability Multimodal Neurons Scaling Laws AI & Compute Concrete Problems in AI Safety and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits optional equity donation matching generous vacation and parental leave flexible working hours and a lovely office space in which to collaborate with colleagues. Guidance on Candidates AI Usage : Learn about our policyfor using AI in our application process

Required Experience :

IC

Key Skills

Fund Management,Information Technology,Conveyancing Paralegal,Corporate Sales,Asic

Employment Type : Full Time

Experience : years

Vacancy : 1

Monthly Salary Salary : 170000 - 220000