14 часов назад
Senior People Data and AI Engineer
142 600 - 257 600$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior People Data and AI Engineer (Data Engineering, Data Science, and Agentic AI): Building an end-to-end people data ecosystem spanning reliable pipelines, predictive workforce models, and AI agents with an accent on data quality, privacy, governance, and actionable people analytics. Focus on designing production systems that connect HR data, machine learning, and safe human-in-the-loop automations without managing a team.
Location: United States; remote work is offered.
Salary: $142,600–$213,800 USD (Zone D), $151,200–$226,800 USD (Zone C), $159,800–$239,600 USD (Zone B), or $171,800–$257,600 USD (Zone A), depending on location.
Company
builds technology and financial products that increase access to the global economy, including Square, Cash App, Afterpay, TIDAL, Bitkey, and Proto.
What you will do
- Design and maintain reliable pipelines unifying HRIS, recruiting, performance, compensation, and engagement data.
- Build governed data models and predictive or diagnostic models for attrition, hiring funnels, organizational networks, compensation equity, and workforce planning.
- Translate complex people questions into rigorous analyses and actionable recommendations for leaders.
- Support employee engagement surveys from instrument design and data collection through driver analysis and recommendations.
- Deploy AI agents and automations that monitor signals, generate reports, draft recommendations, and trigger workflows.
- Own the architecture and technical standards connecting pipelines, models, and agents while partnering with People, Data Platform, Security, and Legal.
Requirements
- 8+ years of relevant experience.
- Production experience building data pipelines with SQL, Python, dbt or Airflow, and cloud data warehouses.
- Strong foundation in statistics, machine learning, and experiment design.
- Working knowledge of people and HR data, including its privacy, ethical, and governance requirements.
- Hands-on experience with LLMs and agentic frameworks, including prompts, tool use, automations, and evaluation loops.
- Strong systems thinking and communication skills, including explaining models to executives and workflows to engineers.
Nice to have
- Experience with Workday, Visier, or other people analytics platforms.
- Background in organizational network analysis or workforce planning.
- Experience deploying AI in regulated or privacy-sensitive environments.
Culture & Benefits
- Remote work options.
- Medical insurance and flexible time off.
- Retirement savings plans.
- Modern family planning benefits.
- Inclusive employment practices and reasonable accommodations throughout the interview process.
Hiring process
- Applications may be evaluated with automated AI tools in accordance with applicable privacy and bias-audit requirements.
- Candidates may have up to 9 active applications within a 60-day period.
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