Lovable06.08.2026
AI Ops Engineer (People Team)
Зарплата не указана
РЫНОК
13 634 ₽медиана по профессии
Tech Lead / Team Lead · 356 вакансий с указанной зарплатой
5 092половина предложений: 9 708–18 1041,2 млн
Работодатель не указал зарплату — сравните с рынком сами.
Полная занятостьОфис
Обязанности
- 01Partner with the People team to identify, scope, and ship AI-powered internal products
- 02Build integrations with HR systems (HiBob, Ashby, etc.), ATS platforms, and identity providers
- 03Design secure systems with robust role-based permissions and access controls
- 04Develop predictive and diagnostic models (workforce trends, hiring capacity, retention risks, compensation dynamics)
- 05Create canonical datasets and source-of-truth models for hiring, headcount, compensation, organizational design, and workforce planning
- 06Data governance — source-of-truth logic, naming conventions, ownership
- 07Own products end-to-end—from research and design through implementation, deployment, and iteration
- 08Translate operational challenges into elegant technical solutions
- 09Build systems that meet legal and compliance requirements for handling sensitive employee data
- 10Work closely with other AI Ops Engineers, sharing building blocks, patterns, and learnings across Lovable's functions
- 11Build AI agents, workflows, dashboards, and decision-support tools that help leaders make better decisions
Требования
- 01Experience shipping production software that handles sensitive data — HR tech, fintech, identity management, or similar
- 02Experience working with people data, business systems, analytics platforms, or enterprise data infrastructure (e.g. BigQuery, Snowflake, Databricks, Airflow, Fivetran, SQL, etc.)
- 03Deep familiarity with HR systems and/or ATS platforms (HiBob, Ashby, Workday, Greenhouse, or similar), either as a builder or through close collaboration with People teams
- 04Experience designing secure systems with role-based access control and data permissioning
- 05Strong product instincts—you think end-to-end, ask why, and care about building products people actually use
- 06Excellent stakeholder management skills and the ability to translate operational challenges into technical solutions
- 07Experience building products from scratch and taking them into production