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Opendoor is building the modern system of homeownership, giving people the freedom to buy and sell on their own terms. The People team is scaling how it uses data and AI to drive compensation strategy, recruiting operations, and overall HR decision-making.
You will be a hands-on People Analytics & Automation Specialist bridging the gap between complex data and strategic action. This role prioritizes AI capability—specifically, designing, building, and shipping AI agents and automations that other people actually use.
Key responsibilities include:
**Business Diagnosis & Decision Support:** Take ambiguous People and Talent questions, define the underlying decision and relevant metrics, reconcile incomplete or conflicting data, test competing explanations, and turn findings into clear recommendations for leadership.
**AI Agents & Enablement:** Design, build, and ship AI agents and AI-first solutions for compensation and People Operations. Apply human judgment strategically by determining where AI can act independently, where deterministic rules are safer, and where human review is essential. Validate outputs, anticipate failure modes, monitor real-world performance, and improve based on what breaks and how people use it.
**Trusted Data & Decision Support:** Build and maintain data products, dashboards, reports, and AI-enabled self-service tools that give People Operations, Total Rewards, and Talent Acquisition current, trustworthy information across headcount, leveling, compensation, open requisitions, and recruiting-funnel performance.
**Compensation & Leveling:** Own the execution side of compensation and leveling projects, comp benchmarking, market studies, leveling structures, and equity or compensation scenario planning.
**TA Analytics Support:** Act as a dotted-line analytics partner to Talent Acquisition, helping surface insights like compensation-related offer rejections or band placement of recent hires.
**Systems & Data Quality:** Work alongside the Rippling/HRIS administrator to build automations on top of Rippling and strengthen data infrastructure. Validate definitions, units, currencies, joins, and comparison groups; identify missing or unreliable data.
**Data Storytelling:** Translate raw people and compensation data into clear, decision-ready narratives for leadership.
**Proactive Planning:** Get ahead of the calendar by building and testing automations and dashboards needed for major HR cycles before they're needed.
The role is in-person four days per week at Opendoor's Miami office.
**Requirements:**
- You have designed and shipped an AI agent or automated workflow that other people actually use. You should be able to walk through it in detail: what you built, where you placed human approval gates, what you iterated on, and what broke.
- Demonstrated analytical and business judgment. You can take an ambiguous problem, define the decision that needs to be made, determine what available data can and cannot support, test competing explanations, and recommend a practical next action.
- High discretion and sound judgment. This role regularly touches confidential compensation and people data; experience managing confidential projects (financial, M&A, or similar) is more important than a specific comp title.
- Strong data storytelling and communication skills, able to turn a data set into a clear, persuasive point for an executive audience.
- Comfort with Google Sheets (primary working tool for comp data) and general data/BI fluency. SQL or Snowflake experience is a plus but not required.
- Familiarity with an HRIS (Rippling or similar), comp survey platforms (AON Radford, Mercer, or similar), and equity administration tools (Equity Edge or similar) is a strong plus but not required and can be learned on the job.
- Ability to work independently across two sets of priorities (People Operations/Total Rewards as primary focus, with lighter-touch support to Talent Acquisition) and to prioritize when demands compete.
- Compensation experience is not required; the company is open to candidates from diverse analytical backgrounds who are eager to learn it.
