Full-Time

Director, People Systems and Operations

Posted on 8/21/2026

Deadline 9/28/26
Greenhouse

Greenhouse

501-1,000 employees

Enterprise hiring platform with AI tools

Compensation Overview

$153.3k - $185.4k/yr

+ Stock option awards + Bonus + Merit increases + Sales commissions

Remote in USA

Remote

Category
People & HR (1)
Required Skills
Data Visualization
Workday HRIS
Data Governance
Data Analysis

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Requirements
  • At least 8 years of progressive People Operations experience, including at least 3 years leading People Operations, Human Resources Information Systems, and/or People Systems teams at the manager or director level.
  • Deep experience administering and optimizing relevant global Human Resources Information Systems platforms such as Workday, Rippling, or HiBob, including implementations, integrations, automation, data integrity, and reporting.
  • A track record of designing and scaling People processes that improve efficiency, data quality, compliance, or employee experience, with measurable results.
  • Experience with payroll and benefits integrations, cross-border employee data and reporting requirements, and workforce data privacy.
  • Hands-on experience evaluating, piloting, or implementing artificial intelligence and automation in a People Operations context.
  • Strong project management, change leadership, and problem-solving skills, with the ability to create structure and momentum in a fast-paced, dynamic environment.
  • An analytical, data-driven approach and proficiency with Human Resources reporting, dashboarding, and self-service tools, paired with the ability to turn workforce data into clear recommendations for leaders.
  • Experience building and leading high-performing, diverse teams and operating as a strategic partner at the leadership-team level while staying close to workflow, system, or dataset details.
  • Current authorization to work in the United States on a full-time basis.
Responsibilities
  • Set the strategy and roadmap for the Human Resources technology ecosystem, including implementation, configuration, integrations, user experience, continuous improvement, and vendor relationships.
  • Own the Human Resources Information System as the single source of truth for employee data and drive automation, data accuracy, governance, stakeholder adoption, and reliable downstream connections to payroll, benefits, analytics, and other People systems.
  • Use the employee journey to improve experiences from offers and onboarding through promotions, leaves of absence, and offboarding.
  • Partner with program owners across People to make candidate, manager, and employee experiences more connected and effective.
  • Build scalable People analytics, dashboards, and self-service tools that give leaders insight for workforce decisions, help address retention risks early, and improve information flow to employees and managers.
  • Own People-related compliance across the employee lifecycle, including immigration, leaves of absence, audits, and evolving labor requirements.
  • Serve as the escalation point for complex policy questions, compliance issues, and high-priority employee matters, partnering with Legal as needed.
  • Lead the company’s artificial-intelligence-forward evolution within People processes and operations, apply the AI Principles Framework to People Operations, pilot artificial intelligence capabilities in internal workflows, and translate learnings into structured feedback for Product.
  • Champion experimentation and continuous improvement by testing new tools, processes, and workflows in contained ways before scaling them.
  • Partner across Information Technology, Finance, Legal, Talent Acquisition and Planning, Talent Management and Organizational Development, Total Rewards, and Inclusion, Diversity, Equity, and Allyship to align People Operations with company priorities.
  • Contribute the People Operations perspective to company-wide People strategy as a member of the People Leadership Team.
  • Develop and empower a high-performing team through clear priorities, coaching, performance management, and growth opportunities.
  • Perform additional projects and responsibilities as business needs require.
Desired Qualifications
  • Global experience with payroll and benefits integrations, cross-border employee data and reporting requirements, and workforce data privacy.

Greenhouse is a hiring platform that provides applicant tracking software and recruiting tools for enterprise companies. It helps manage the entire hiring process from sourcing candidates to onboarding new hires, consolidating tasks beyond a standard ATS or CRM into a holistic talent-management solution. The product works by offering features to improve candidate experience, promote workplace diversity, and use AI-powered tools to increase efficiency and collaboration in hiring. Unlike generic recruiting software, Greenhouse positions itself as a strategic partner by covering recruitment strategy, structured hiring processes, onboarding, and ongoing talent management. The company's goal is to streamline and optimize the end-to-end hiring workflow for large organizations, aligning recruiting with broader HR objectives and outcomes.

Company Size

501-1,000

Company Stage

Series D

Total Funding

$111.5M

Headquarters

New York City, New York

Founded

2012

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Simplify Jobs

Simplify's Take

What believers are saying

  • Greenhouse reports 175,000 live jobs and 254 applicants per posting, driving urgent demand.
  • Nearly half a million Dream Job applications since launch show strong user engagement and signal quality.
  • June 2026 AI launches and Ezra completion expand upsell paths across enterprise customers like HubSpot and Coinbase.

What critics are saying

  • Ashby, Lever, and AI-native ATS vendors undercut Greenhouse on price, speed, and analytics in 2026.
  • Greenhouse’s 412% application surge exposes recruiters to spam, fraud, and candidate drop-off immediately.
  • If enterprise suites embed native hiring AI, Greenhouse becomes a workflow layer and loses platform power by 2027.

What makes Greenhouse unique

  • Greenhouse’s structured hiring workflows anchor six June 2026 AI features without removing human control.
  • Greenhouse MCP, in July 2026 beta, governs approved AI tools inside existing permissions and audit trails.
  • Ezra AI Labs acquisition adds structured voice interviews while preserving Greenhouse’s candidate and recruiter workflows.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Mental Health Support

401(k) Company Match

401(k) Retirement Plan

Paid Vacation

Paid Sick Leave

Paid Holidays

Unlimited Paid Time Off

Flexible Work Hours

Growth & Insights and Company News

Headcount

6 month growth

-1%

1 year growth

0%

2 year growth

8%
PR Newswire
Jun 10th, 2026
Greenhouse launches AI tools to strengthen structured hiring amid 412% application surge

Greenhouse, a hiring platform, has announced six new AI capabilities designed to enhance structured hiring while maintaining human control over decisions. The features address a 412% increase in applications since 2023, with AI-polished resumes making candidate evaluation more challenging. The new capabilities include the Greenhouse MCP, which connects approved AI tools to the platform; an Analytics Chart Agent for instant data visualisation; Greenhouse Notetaker for automatic interview transcription; AI Report Insights for dashboard summaries; Job Kickoff Agent for structured role setup; and Candidate Insights Agent for consolidated candidate information. All features launch between June and Q3 2026. The tools work within Greenhouse's structured hiring framework, ensuring AI recommendations remain explainable and evidence-based whilst recruiters retain final decision-making authority. The company serves over 7,500 organisations including HubSpot and Coinbase.

PR Newswire
May 7th, 2026
Greenhouse launches MCP to connect AI tools to hiring platform with governed access

Greenhouse, a hiring platform, has launched the Greenhouse MCP (Model Context Protocol), enabling customers to connect AI tools directly to their hiring system whilst maintaining governance and security controls. The capability will roll out to customers from June. Developed with design partners including StubHub and Komodo Health, the MCP provides a permission-aware connection layer that allows teams to automate workflows, use conversational prompts for complex hiring actions, and experiment with AI-native experiences. All MCP calls operate through defined tools tied to existing permissions and audit trails. According to Greenhouse's survey of 2,950 job seekers, 30% already use AI agents to search for openings and submit applications. The MCP addresses growing pressure on hiring teams to deploy AI tools without compromising governance of hiring decisions.

Sandy Journal
May 5th, 2026
Greenhouse to acquire Ezra AI Labs to bring voice AI interviews to hiring platform

Greenhouse, the hiring platform, has entered into a definitive agreement to acquire Ezra AI Labs, a voice AI interviewing startup. The acquisition, expected to close this quarter, aims to help companies identify talent amid a 412% spike in applications per recruiter since 2023. Ezra conducts structured, AI-led voice interviews that candidates can complete on demand. The platform generates role-specific evaluations with structured scores and transcripts, addressing concerns that 63% of job seekers have faced AI interviews but only 20% believe employers use AI responsibly. Founded in 2024, Ezra previously raised seed funding from PennyJar Capital, LMNT and a16z Speedrun. The technology will integrate with Greenhouse's platform whilst remaining available as a standalone offering for existing customers.

Fortune
May 4th, 2026
38% of job candidates drop out when AI interviews are required

Nearly 40% of job candidates have withdrawn from hiring processes that required an AI interview, according to a recent Greenhouse report. Another 12% say they would drop out if faced with such a requirement. Around 63% of US job-seekers have been interviewed by AI, a 13% increase from six months ago. Recruiters are deploying AI interviewers to manage overwhelming application volumes in a competitive labour market. Of candidates who completed AI interviews, 51% were either ghosted or still awaiting responses. Sharawn Tipton, Greenhouse's chief people officer, warns that poor AI interviewing experiences could backfire on employers through negative word-of-mouth and social media posts. Tipton advises employers to ensure human oversight of AI assessments and offer human interviewer options, cautioning that without intentional implementation, AI hiring could "scale the same inequities the industry has been trying to break, just faster.

PR Newswire
Jun 3rd, 2025
Greenhouse Real Talent™ Launches To Fix Overwhelming Candidate Pipelines While Combatting Fraud And Spam In Hiring

New AI-driven Solution Helps Recruiters Navigate the Chaos of Candidate Pipelines, Identify the Best Candidates, While Securing Organizations Against Fraud and SpamNEW YORK, June 3, 2025 /PRNewswire/ -- Greenhouse, trusted HR tech leader and hiring platform, today announced the launch of Real Talent, a groundbreaking solution designed to address the high costs and growing risks of spam, fraud and cheating in hiring. This solution provides recruiting teams with tools to quickly sort and filter job candidates into a tiered inbox based on their application quality and the likelihood of fraudulent or spam activities.Today's recruiting teams are drowning in applications. Economic uncertainty, AI-powered mass applications, and remote work have led to flooded hiring pipelines with sometimes thousands of candidates per role. The use of AI has also increased levels of spam and fraud. These problems also hurt qualified candidates, who get lost in the noise, leading to slower response rates to their applications and even ghosting by overwhelmed recruiters.Spam is caused by individuals applying for roles in bulk using automated tools, often without high interest or affinity to any specific role. Applicants are also showing up to job interviews with AI co-pilot tools to help them pass interviews, giving them an unfair advantage