← All jobs · Robinhood

People Systems Manager

Robinhood ·
70
AI-Agency
B62 U82
📍 Menlo Park, US 🛠 AI tools welcome at work Manager 7+ yrs
WorkdayWorkday ExtendWorkday StudioEIBGreenhouseAshbyCursorClaude CodeGitHub Copilot
TL;DR

People Systems Manager at Robinhood leading Workday platform, integrations, and AI-powered HR automation. Hands-on technical manager building scalable systems for hiring, payroll, and compliance with a focus on AI-first workflows.

Apply at Robinhood →
share:
you'll be redirected to the company's career page

Job description

Join us in building the future of finance.

Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.

About the team + role

We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.

The People Systems team builds and operates the technology that supports Robinhood’s employees across their entire lifecycle. The team focuses on Workday and connected systems, ensuring reliable operations, strong data quality, and scalable solutions for a growing global workforce. You will work closely with partners across HR, Engineering, Finance, and Legal to deliver systems that support hiring, onboarding, payroll, and compliance.

As a People Systems Manager, you will lead the design, development, and operation of Robinhood’s People Systems ecosystem with Workday as the foundation. You will contribute directly to system configuration, integrations, and architecture while guiding a team of engineers and analysts. This role also focuses on applying AI tools and automation to reduce manual processes, improve data accuracy, and enhance employee support. You will help define how AI is applied within People Systems to improve efficiency and scalability!

This role is based in our Menlo Park, CA office, with in-person attendance expected 5 days per week.

At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.

What you’ll do

What you bring

Leadership expectations

Our ambitious roadmap requires a great culture shaped by exceptional leaders. Here’s what we expect from them:

What we offer

In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits.

Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process.

Base Pay Range:

Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC)
$191,000$225,000 USD
Zone 2 (Denver, CO; Westlake, TX; Chicago, IL)
$168,000$198,000 USD
Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL)
$150,000$176,000 USD

Click here to learn more about our Total Rewards, which vary by region and entity.

If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application.

Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.

Apply at Robinhood →

More open roles at Robinhood

Robinhood · 🔄 synced 1h ago
Senior Machine Learning Engineer, Agentic
📍 Menlo Park, US 💰 $209K–$245K 🛠 AI tools welcome at work · Senior
Senior Machine Learning Engineer at Robinhood building production AI agents for financial products. Focus on evaluation harnesses, optimization pipelines (DPO, PPO), and deploying fine-tuned models with robust monitoring.
PythonLLMsDPOPPOreward modelingagentic workflows
83
AI-core
Robinhood · 🔄 synced 1h ago
Staff Machine Learning Engineer, Agentic
📍 Bellevue, US 💰 $255K–$300K 🛠 AI tools welcome at work · Staff
Staff Machine Learning Engineer at Robinhood building agentic AI systems. Focus on evaluation frameworks, model selection, and quality standards for agent-based customer experiences across the platform.
LLMevaluation frameworksagentic systems
79
AI-core
Robinhood · 🔄 synced 1h ago
Staff Product Manager, Cortex
📍 Menlo Park, US 💰 $191K–$225K 🛠 AI tools welcome at work · Staff
Staff Product Manager at Robinhood leading Cortex, a consumer-facing AI assistant for financial research, portfolio analysis, and trading. Role involves shaping AI architecture, building evaluation frameworks, and shipping consumer experiences in a regulated financial services environment.
LLMRAGagentic systems
78
AI-core
Robinhood · 🔄 synced 1h ago
Senior Security Engineer, AI Vulnerability Management
📍 Toronto, CA 🛠 AI tools welcome at work · Senior
Senior Security Engineer at Robinhood building AI-driven vulnerability management systems. Focus on architecting agentic AI agents for automated triage, remediation, and risk-based prioritization at scale.
GoPythonAWSKubernetesLangChainSnyk
77
AI-core
Robinhood · 🔄 synced 1h ago
Senior Security Engineer, AI Vulnerability Management
📍 Menlo Park, US 🌐 Remote 🛠 AI tools welcome at work · Senior
Senior Security Engineer at Robinhood building automated vulnerability management systems using agentic AI. Focus on designing AI-driven defense platforms, vulnerability triage automation, and risk-based remediation at scale.
GoPythonAWSKubernetesLangChainSnyk
75
AI-core