Nebius · 2 hours ago
TA Automation Engineer
United States
Full-time
Remote
Mid LevelNebius is leading a new era in cloud computing to serve the global AI economy. The TA Automation Engineer will act as a workflow architect to build automated systems that enhance Talent Acquisition processes while ensuring data integrity and scalability.
AI InfrastructureCloud InfrastructureGPUIaaSPaaS
Responsibilities
Build and maintain sophisticated, enterprise-grade workflows using low-code/no-code tools (Workato, Zapier, Tray.io, etc.), with a strong emphasis on scalability, error handling, data integrity, and long-term maintainability, not just speed of deployment
Design the logic for complex, multi-stage interview scheduling that handles multiple time zones and disparate calendar systems without human intervention
Create an "Internal Talent Marketplace" bot. This bot should automatically "skill-match" current employees to new openings and alert them via Slack/Teams, bypassing the need for manual internal sourcing
Standardize the "voice" of the company at scale. You build the triggers that send personalized (but automated) prep materials, "Still interested?" pings, and "Thank You" notes based on candidate stage-movement
Explore and implement LLM integrations to assist in initial resume screening or to draft personalized outreach messages for the sourcing team
Partner with key TA, HR, and Finance stakeholders and systems owners to design and maintain bi-directional integrations that ensure data consistence across systems. Anticipate downstream impacts of TA automation on reporting, compliance, and financial planning
Define and document core data fields and schemas required for reliable recruiting, workforce, and financial reporting (e.g., requisition metadata, candidate stage timestamps, source attribution, cost centers, hiring manager ownership). Ensure recruiting workflows capture clean, structured, and reusable data rather than one-off operational signals. Design automation with reporting in mind — ensuring every workflow produces auditable, analyzable outputs
Qualification
Required
Build and maintain sophisticated, enterprise-grade workflows using low-code/no-code tools (Workato, Zapier, Tray.io, etc.)
Design the logic for complex, multi-stage interview scheduling that handles multiple time zones and disparate calendar systems without human intervention
Create an 'Internal Talent Marketplace' bot that automatically 'skill-match' current employees to new openings and alert them via Slack/Teams
Standardize the 'voice' of the company at scale by building triggers that send personalized (but automated) prep materials, 'Still interested?' pings, and 'Thank You' notes based on candidate stage-movement
Explore and implement LLM integrations to assist in initial resume screening or to draft personalized outreach messages for the sourcing team
Partner with key TA, HR, and Finance stakeholders and systems owners to design and maintain bi-directional integrations that ensure data consistency across systems
Define and document core data fields and schemas required for reliable recruiting, workforce, and financial reporting
Ensure recruiting workflows capture clean, structured, and reusable data rather than one-off operational signals
Design automation with reporting in mind — ensuring every workflow produces auditable, analyzable outputs
Ability to design automation within a broader ecosystem of ATS, HRIS, Finance, and analytics tools
Strong understanding of how upstream data capture affects downstream reporting, planning, and compliance
Experience designing APIs, middleware workflows, and fallback logic to ensure resilience across systems
Familiarity with how recruiting data is consumed by Finance, People Analytics, and leadership dashboards
Deep knowledge of platforms such as Workato, Zapier, or Make.com
Proficiency in JavaScript or Python or tools such as Cursor to build custom hooks when out-of-the-box integrations fail
A fundamental understanding of user experience to ensure that an automated email doesn't feel like a cold, robotic interaction
The ability to 'walk in the shoes' of a stressed recruiter or a nervous candidate to identify where automation would be helpful vs. where it would be jarring
A bias for Action; the ability to build a 'Minimum Viable Product' (MVP) workflow in a day rather than a month
The mechanical mindset to troubleshoot why a complex workflow broke and fix the logic in real-time
Able to translate between recruiters, HRBPs, finance partners, and technical teams
Knows when to build quick automation vs. when to invest in foundational structure
Understands that system changes affect behaviors, incentives, and decision-making, not just workflows
Benefits
Competitive salary and comprehensive benefits package.
Opportunities for professional growth within Nebius.
Flexible working arrangements.
A dynamic and collaborative work environment that values initiative and innovation.
Company
Nebius
The Nebius AI Cloud brings powerful full-stack infrastructure for AI developers and practitioners across startups, enterprises and science institutes to build and deploy generative AI applications and rapidly deliver scientific breakthroughs by training and running ML models within a secure, high-performance, and cost-optimized cloud environment.
Founded in 2022
501-1000 employees
Funding
Current Stage
Late StageTotal Funding
$1.04B2025-06-04Debt Financing· $1B
2025-05-15Grant· $45M
2024-12-02Seed
Leadership Team
E
Evan Helda
Head of Physical AI
Vinita Ananth
Sr. Director of Product
Recent News
2025-10-25
Company data provided by crunchbase