Scale seeks a Head of Global Assurance to lead a high-performing team of technical experts advancing Scale’s assurance programs across its Global Public Sector and Commercial business units.
This is a leadership role for an experienced assurance, cybersecurity compliance, or GRC professional who can manage a team of senior technical experts, drive execution across complex government and customer requirements, and partner closely with Global Public Sector, Enterprise, Security, Engineering, Product, and the Legal team.
You Will- Lead assurance programs across Scale’s Global Public Sector and Commercial businesses, including FedRAMP, NIST frameworks, SOC 2, ISO 27001, and other customer, regulatory, and business assurance requirements.
- Manage and develop a technical assurance team responsible for public sector authorizations, commercial assurance, audits, customer commitments, control evidence, remediation, and reporting.
- Set priorities and operating cadences for assurance workflows, including intake, evidence collection, control owner follow-up, remediation tracking, metrics, and deadline management.
- Build the metrics, dashboards, and reporting cadences that give company leadership a clear view of program health, key risks, and strategic priorities.
- Partner with Legal on contract-driven assurance obligations, sensitive escalations, external-facing responses, and customer-facing representation issues.
- Work closely with Global Public Sector, Enterprise, Security, Engineering, Product, and other control owners to validate evidence, track remediation, and support authorization and audit requirements.
- Collaborate across Legal and GRC on a unified controls framework for security and other regulatory requirements.
- Manage relationships with external auditors, assessors, and certification bodies.
- 10+ years of experience in cybersecurity compliance, GRC, public and commercial sector assurance, IT audit, cloud security, or related roles.
- Active U.S. security clearance, SCI eligible.
- Experience leading global or region-specific assurance programs through scalable control frameworks and cross-functional execution.
- Experience managing senior technical assurance, cybersecurity compliance, GRC, audit, or control evidence professionals.
- Experience managing distributed teams across time zones.
- Deep familiarity with FedRAMP, continuous monitoring, authorization packages, and related NIST frameworks.
- Experience leading customer assurance, control evidence, remediation, reporting, and audit workflows.
- Experience overseeing SOC 2, ISO 27001, and other commercial assurance frameworks.
- Experience with external assessors, authorizing officials, government customers, public sector partners, commercial auditors, or certification bodies.
- Experience working with legal teams on contract-driven assurance obligations, and strong judgment on when to escalate legal, contractual, technical, security, customer-facing, or privileged issues.
- Excellent communication skills, including the ability to explain technical assurance issues clearly to legal, business, security, and executive audiences.
- Experience developing compliance or assurance approaches for emerging technologies, including GenAI, AI/ML, data platforms, or cloud infrastructure.
- Experience advising leadership on assurance, compliance, and risk tradeoffs in fast-moving technical environments.
- Experience with defense, federal civilian, classified, national security, GovCloud, or JAB authorization environments.
- Ability to translate new or ambiguous technical issues into practical compliance controls and implementation plans.
- Relevant certifications such as CISSP, CISM, CISA, CCSP, AWS Certified Solutions Architect, Azure Solutions Architect, or similar credentials.
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at [email protected]. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
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Skills Required
- 10+ years of experience in cybersecurity compliance, GRC, or public/commercial assurance
- Active U.S. security clearance (SCI eligible)
- Proven leadership experience managing senior technical professionals
- Deep technical familiarity with FedRAMP and control frameworks
- Excellent communication skills to advise executive leadership
Scale AI Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Scale AI and has not been reviewed or approved by Scale AI.
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Healthcare Strength — Healthcare coverage is described as comprehensive across medical, dental, and vision, with flexibility to choose plans that fit individual or family needs. A monthly wellness stipend further supports physical and mental wellbeing expenses.
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Equity Value & Accessibility — Equity-based compensation is included in eligible packages, positioning ownership as a meaningful component of total rewards for many full-time roles. An employee stock purchase plan also provides an additional pathway to participate in potential upside.
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Leave & Time Off Breadth — Paid time off is positioned as generous with a flexible policy intended to support recharging and burnout prevention. Paid holidays and paid sick days are also part of the time-off offering.
Scale AI Insights
What We Do
Scale accelerates the development of AI applications by helping machine learning teams generate high-quality ground truth data. Our advanced LiDAR, image, video and NLP annotation APIs allow machine learning teams at companies like OpenAI, Lyft, Pinterest, and Airbnb focus on building differentiated models vs. labeling data.
