Senior Manager Analytics
$200,000 USD/year Pay is set based on global value, not the local market. Most roles = hourly rate x 40 hrs x 50 weeks 

Worldwide
Semi-flexible schedule
Fully-remote
full-time (40 hrs/week)
Long-term role

Senior Manager Analytics   $200,000 USD/year

Description

If you've spent your career sourcing, screening, and relying on resumes to predict performance, this role will challenge everything you know.

You'll join Crossover's People and Talent Operations team to architect how hiring functions from start to finish. Your purpose isn't to shepherd candidates through a pipeline. Your purpose is to engineer the infrastructure that draws in the right talent, measures genuine capability, and produces high-caliber hires who arrive on schedule—and who meet our standards and remain with us. When results fall short, you won't rationalize the gap. You'll rebuild the process.

Our hiring model departs from traditional approaches. We don't manually source. We don't filter by resume first. We don't position recruiters as gatekeepers. Job postings are crafted to reach and persuade the ideal audience, including those not actively searching. Screening frameworks are constructed to measure skills, decision-making, applicable knowledge, and actual work performance well before any hiring team conducts an interview.

We also believe in full transparency: our environment is distinctive, and it won't suit everyone. This isn't a critique—it's about alignment. We're committed to respecting candidates' time, so before you proceed with our application, you should understand what this role is not.

If any of these statements resonate with you, we may not be the right match:

  • You want to concentrate on sourcing, resume evaluation, or initial phone screens.
  • You're hesitant to push back on hiring managers when their requirements veer into weak-signal or non-compliant areas.
  • You favor receiving detailed instructions over determining what system should be built.
  • You view AI as a tool to approach with caution rather than something to proactively integrate and design around.
  • You depend on meetings for alignment instead of creating dashboards, documentation, and self-service updates.
  • You assume retention challenges are solely management failures and never indicators worth tracing back to hiring.

This is an AI-native workplace. AI generates drafts, alternatives, data summaries, and initial outputs as standard practice. Your contribution lies in designing prompts, establishing boundaries, recording logic, and tuning output quality. You'll regularly delegate work to AI and redirect your attention to oversight, system refinement, and building scalable agentic solutions.

The position is global and fully remote. Autonomy is substantial. Accountability matches it. You'll collaborate directly with senior leadership and C-suite executives across a private-equity-backed portfolio, with clear expectations for proactive updates and early risk identification. You must be accessible for a minimum of 4 hours that align with U.S. business hours on weekdays, when key stakeholders are active. Beyond that window, your schedule is self-managed.

One final note in the interest of transparency: our selection process is rigorous and time-intensive. It demands substantial effort and reflection. Most applicants spend 1–3 hours throughout the process, and this position often requires more. We structure it this way deliberately to ensure alignment on both sides. 

If everything you've read makes you more interested, we genuinely want to hear from you.

What you will be doing

  • Architecting role definitions, organizational structures, career ladders, and RACI matrices that convert authentic business requirements into precise hiring objectives
  • Constructing AI-powered job advertisements and distribution channels that draw the right candidates without relying on manual outreach
  • Engineering screening and evaluation frameworks that measure competencies, judgment, and transferable expertise beyond what resumes reveal
  • Leveraging practical understanding of U.S. hiring regulations to advise stakeholders and surface compliance risks (e.g., W-2 vs. 1099, EEOC, ADEA factors)
  • Recording your reasoning, research, and conclusions, then using AI to produce drafts, alternatives, and insights at scale
  • Utilizing post-hire performance and tenure metrics as feedback loops to refine role design, assessments, and candidate pipelines

What you will NOT be doing

  • Sourcing applicants, scanning resumes, or conducting initial screening conversations
  • Serving as an information bottleneck or centralizing all communications through yourself
  • Waiting for stakeholders to request progress reports
  • Adhering to conventional recruiting frameworks or "industry best practices" without scrutiny
  • Permitting non-compliant or risky hiring requests to proceed without challenge
  • Operating in a setting with close oversight or detailed procedural guidance

Key responsibilities

Architect and maintain an AI-driven hiring operation that produces high-quality hires on schedule and leverages post-hire performance and retention metrics to refine hiring signals continuously.

Candidate requirements

  • At least 5 years of experience in recruiting, talent operations, talent enablement, or people operations
  • Hands-on experience designing or running assessment-based hiring pipelines
  • Experience creating org artifacts such as role specifications, org charts, ladders, RACIs, or competency frameworks
  • Working knowledge of U.S. hiring practices and regulations, including compliance considerations
  • Comfort working directly with senior leaders and C-suite stakeholders
  • Strong written and verbal communication with a bias toward clarity, structure, and action
  • Ability to operate autonomously in a global, remote environment
  • Practical experience using AI in daily work, including understanding risks, trade-offs, and quality control
  • Availability for at least four hours overlapping U.S. business hours on weekdays

Nice to have

  • Experience in org design, HRBP work, or workforce planning
  • Familiarity with low-code tools, automation platforms, or agentic workflows
  • Experience building dashboards or visualizations for executive audiences
  • Background in high-growth, high-accountability, or private-equity-backed environments

Meet a successful candidate

Watch Interview
Andrew Poje
Andrew  |  Remote Coach
United States

Andrew competed in two Olympic Games before finding a new calling as a remote coach. Hit 'Read More' to see his tips for job applicants. Wat...

Meet Andrew

Applying for a role? Here’s what to expect.

Crossover's skill assessment process combines innovative AI power with decades of human research, to take the guesswork, human bias, and pointless filters out of recruiting high-performing teams.

Chat-style
screening interview.
STEP 1

Chat-style
screening interview.

Cognitive 
aptitude test.
STEP 2

Cognitive 
aptitude test.

Prove real-world 
job skills.
STEP 3

Prove real-world 
job skills.

Interview with the hiring manager.
STEP 4

Interview with the hiring manager.

Pass
proctored test.
STEP 5

Pass
proctored test.

Accept job offer.
STEP 6

Accept job offer.

Frequently asked questions

About the role

About Crossover

Meet some people who've landed similar jobs

Why Crossover

Recruitment sucks. So we’re fixing it.

The Olympics of work

The Olympics of work

It’s super hard to qualify—extreme quality standards ensure every single team member is at the top of their game.

Premium pay for premium talent

Premium pay for premium talent

Over 50% of new hires double or triple their previous pay. Why? Because that’s what the best person in the world is worth.

Shortlist by skills, not bias

Shortlist by skills, not bias

We don’t care where you went to school, what color your hair is, or whether we can pronounce your name. Just prove you’ve got the skills.

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