Senior TA Operations Manager
Remote - USAFull-TimeSenior
Salary130,100 - 187,000 USD per year
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Job Details
- Experience
- 7+ years
- Required Skills
- Artificial IntelligenceWorkday
Requirements
- 7+ years in program management or TA operations at a high-growth tech company, with direct experience inside a talent acquisition function.
- Proven ability to own and deliver complex, cross-functional programs.
- Demonstrated skill at influencing senior leaders and driving alignment across functions without formal authority.
- Hands-on AI fluency. You build and ship workflows in Claude and tools like Cowork today.
- Experience owning an AI project or transformation initiative: scoping it, building stakeholder buy-in, piloting it, and measuring results.
- Data-informed. You define success metrics upfront, track outcomes, and bring analysis to leadership in a form they can act on.
- Deep proficiency with TA systems: ATS platforms (Greenhouse, Ashby, Workday), interview tooling (BrightHire, ModernLoop), and the broader recruiting tech stack.
- Comfortable with PM tools like Linear.
- Clear, direct written communication calibrated to the audience — equally effective in a Slack message, an exec update, and a stakeholder alignment doc.
Responsibilities
- Drive the annual TA Operations roadmap and quarterly planning cycles.
- Own a portfolio of cross-functional programs end to end — from scoping and planning through stakeholder alignment, execution, and retrospective.
- Serve as program lead on a major ATS implementation: define success metrics upfront, manage the plan and risk log, track work in Linear, and keep stakeholders informed at the right level of detail.
- Own the TA AI roadmap. Identify where AI closes real gaps in recruiting workflows, scope and pilot solutions, measure impact, and drive adoption at scale across the TA org.
- Build and maintain AI-powered workflows in Claude and Cowork that reduce manual work and improve how TA operates — sourcing, scheduling, reporting, communications, and beyond.
- Own the TA tech stack. Maintain full visibility across tools, vendors, contracts, utilization, and total cost of ownership.
- Ensure TA data infrastructure supports accurate forecasting, reporting, and leadership decision-making. Partner with HR Tech and Analytics on integrations and data quality.
- Proactively identify where TA processes are slow, inconsistent, or manual. Define the path to fix them and own the implementation.
- Build and maintain SOPs, process documentation, and training materials that enable the TA team to operate at a higher baseline without requiring tribal knowledge.
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