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

This role is for recruiters who have moved beyond resume screening and candidate chasing — and are ready to engineer hiring systems that work.

You will join Crossover's People and Talent Operations team to architect the full hiring lifecycle. Your focus is not pipeline management. It is system design: creating mechanisms that pull in the right candidates, measure genuine capability, and produce timely, high-caliber hires who perform and persist. When results fall short, you diagnose and rebuild — not rationalize.

Our approach to hiring diverges sharply from traditional models. We do not rely on manual sourcing, resume-first filters, or recruiter gatekeeping. Job postings are crafted to attract and activate the right audience, including passive talent. Screening frameworks are structured to test skills, judgment, transferable expertise, and real work output — well before any hiring manager enters the conversation.

We value transparency, so it's important to be clear upfront: this environment is not for everyone, and that's simply a matter of alignment — not judgment. To respect your time, we want you to understand what this role does not involve before you proceed.

If any of the following resonates with you, this may not be the right match:

  • You want to spend your time sourcing, reviewing resumes, or conducting initial screening calls.
  • You hesitate to push back on hiring managers when their requests lack signal or introduce compliance risk.
  • You prefer explicit direction over defining what needs to be built.
  • You view AI as a tool to approach cautiously, rather than one to design around and leverage actively.
  • You depend on meetings to maintain alignment rather than creating dashboards, artifacts, and proactive communication.
  • You assume retention challenges are exclusively people-management issues, not upstream signals worth investigating.

This is an AI-first workplace. AI generates drafts, alternatives, analysis, and initial outputs by default. Your contribution lies in designing prompts, setting boundaries, documenting logic, and calibrating results. You will frequently delegate execution to AI and concentrate on quality assurance, system refinement, and building scalable, agentic solutions.

The role is global and fully remote. You will have significant autonomy and equally significant accountability. You will engage directly with senior leadership and C-suite stakeholders across a private-equity-backed portfolio, with an expectation of proactive updates and early risk escalation. You must be available for a minimum of 4 hours overlapping U.S. business hours on weekdays, when most stakeholders operate. Beyond that window, you manage your own schedule.

Finally, in the interest of full transparency: our application process is not fast. It demands real time and thoughtful engagement. Most candidates spend 1–3 hours on it, and this role often requires more. This is by design, to ensure the fit is mutual.

If all of this energizes you rather than discourages you, we would genuinely like to hear from you.

What you will be doing

  • Creating role specifications, organizational charts, career ladders, and RACI matrices that convert real business requirements into actionable hiring objectives
  • Developing AI-powered job advertisements and distribution strategies that draw in the right candidates without manual outreach
  • Constructing screening and evaluation ecosystems that measure skills, judgment, and transferable knowledge — not just resumes
  • Leveraging working knowledge of U.S. hiring regulations to advise stakeholders and surface risk (e.g., W-2 vs. 1099, EEOC, ADEA factors)
  • Recording your thinking, research, and rationale, then using AI to produce drafts, alternatives, and analysis at scale
  • Analyzing post-hire performance and retention metrics to refine role design, assessment methods, and candidate pipelines over time

What you will NOT be doing

  • Manually sourcing candidates, screening resumes, or conducting initial phone interviews
  • Serving as the single point of contact or bottleneck for hiring information
  • Waiting for stakeholders to request updates before providing them
  • Applying traditional recruiting frameworks or "best practices" without critical evaluation
  • Letting non-compliant or high-risk hiring requests move forward without challenge
  • Operating under close supervision or detailed, step-by-step guidance

Key responsibilities

Architect and maintain an AI-first hiring system that consistently delivers high-quality hires on schedule, and continuously refines hiring signal using post-hire performance and retention data.

Candidate requirements

  • A minimum of 5 years of experience in recruiting, talent operations, talent enablement, or people operations
  • Proven experience designing or managing assessment-driven hiring pipelines
  • Track record of producing organizational artifacts such as role specifications, org charts, career ladders, RACIs, or competency frameworks
  • Working knowledge of U.S. hiring regulations and practices, including compliance factors
  • Confidence working directly with senior leaders and C-suite stakeholders
  • Excellent written and verbal communication skills with a preference for clarity, structure, and action orientation
  • Ability to work independently in a global, remote setting
  • Hands-on experience using AI in daily workflows, including understanding trade-offs, risks, and quality assurance
  • Availability for a minimum of four hours overlapping U.S. business hours on weekdays

Nice to have

  • Experience in organizational design, HRBP roles, or workforce planning
  • Familiarity with low-code platforms, automation tools, or agentic workflows
  • Experience creating dashboards or data visualizations for executive stakeholders
  • Background in high-growth, high-accountability, or private-equity-backed settings

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

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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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