Description
Recruitment is fundamentally flawed. That's widely acknowledged. Solutions, however, remain scarce.
This position is designed for someone who knows how to deliver them.
While housed within People and Talent Operations, this role is at its core about systems design and operational execution, applied to the hiring domain. You will not be expected to come in as a hiring subject-matter expert. Instead, you must be expert at constructing systems that produce measurable outcomes — systems that scale, repeat reliably, and hold up when tested by real-world conditions.
The challenge is straightforward to articulate but demanding to solve: architect and run a system that reliably attracts the right talent into the organization, on schedule, meeting the quality threshold, and placing them in roles where they perform well and remain. That system must handle not only structured, predictable requests but also ambiguous, mission-critical, and atypical scenarios. This role demands continuous ownership, sound judgment, and the rigor to address problems in ways that fortify the system instead of introducing bloat.
Stakeholder engagement is essential. You will collaborate with senior leaders who hold firm perspectives, juggle conflicting demands, and provide incomplete information. Formal authority will not be part of your toolkit. Success will come from earning trust, identifying alignment, and making trade-offs explicit — upholding standards while ensuring stakeholders feel acknowledged and enabled.
This is an AI-native environment. You will interact with AI tools daily, leveraging them to produce drafts, validate concepts, evaluate results, probe edge cases, and uncover trends. You will not delegate ideas to engineers and wait for output. Instead, you will prototype, test, troubleshoot, document, and refine solutions yourself, collaborating with technical partners when it's time to productionize or scale.
We also value transparency, as we do not wish to waste anyone's time. This role is not suitable for everyone.
If the following describe you, this is probably not a good match:
- You gravitate toward identifying issues rather than owning resolution through to completion
- You rely on authority structures, organizational hierarchy, or designated owners to drive work forward
- You delegate all technical work to engineers rather than engaging directly
- You interpret feedback or challenge as personal criticism instead of valuable input
- You optimize isolated components without considering broader system impact
- You are drawn to the concept of repairing broken systems more than the hands-on work it entails
This is a remote, global position with significant autonomy and equally significant accountability. You are required to maintain availability for a minimum of four hours overlapping with U.S. business hours each weekday. Beyond that, you control your own schedule.
Finally, in the interest of transparency: our hiring process demands substantive effort. Most applicants dedicate considerable time, which reflects the expectations of the role itself.
If everything you just read energized rather than discouraged you, we genuinely want to hear from you.
What you will be doing
- Architecting and refining comprehensive systems that convert unclear requirements into consistent, high-caliber results
- Engaging directly with senior stakeholders to define genuine constraints, illuminate trade-offs, and establish shared definitions of success
- Leveraging AI tools every day to draft, validate, assess, and iterate on system elements, then layering in human oversight and quality assurance
- Taking full ownership of your initiatives from conception through execution, measurement, and refinement — no partial handoffs or shared accountability
- Spotting recurring themes, diagnosing underlying issues, and evolving the system in response to performance data and operational realities
What you will NOT be doing
- Identifying issues and delegating execution to others
- Improving isolated system components without accounting for ripple effects
- Waiting on formal authority, organizational structure, or escalation pathways to drive momentum
- Exclusively routing work through specialists rather than engaging directly yourself
- Steering clear of complex problems, challenging stakeholders, or performance accountability
Key responsibilities
Architect, own, and iteratively enhance the systems that consistently deliver high-quality hires on schedule and into positions where they thrive and remain long-term.
Candidate requirements
- 5+ years in business operations, people or talent operations, program management, or a comparably systems-intensive function
- Firsthand experience hiring for your own team or area of responsibility, with ownership over hiring metrics (e.g., time-to-fill, candidate quality, retention)
- Proven track record designing and deploying operational systems from the ground up, not solely maintaining existing ones
- Experience authoring organizational and operational materials such as role specifications, org structures, career ladders, RACIs, process flows, or decision frameworks
- Strong operational writer: has created SOPs, process documentation, or incident reviews that others actively use
- Functional knowledge of U.S. hiring standards and legal requirements, including compliance matters
- Confidence engaging senior leaders directly without relying on formal authority
- Regular, hands-on application of AI in day-to-day operational tasks, with careful attention to output quality and inherent trade-offs
- Capacity to work at least four hours overlapping U.S. business hours each weekday
Nice to have
- Track record refining a system across multiple cycles informed by performance metrics and retention analysis
- Hands-on knowledge of low-code platforms, automation tools, or agentic workflow frameworks
- Experience designing dashboards or data visualizations tailored for executive stakeholders
- Prior exposure to high-growth, high-accountability, or private-equity-supported organizations
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.
Cognitive 
aptitude test.
Prove real-world 
job skills.
Interview with the hiring manager.
Pass
proctored test.
Accept job offer.
Frequently asked questions
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Recruitment sucks. So we’re fixing it.
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
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
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.
Join the world's largest community of 
AI-first remote workers.