AI Risk & Technical Governance Specialist

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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Market context

U.S. role benchmark (BLS OEWS)

$117,235 U.S. median for this role

Projected growth (BLS Employment Projections)

+2.6% - Average

Matched to SOC 23-1011 - Legal aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Legal From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

AI Risk & Technical Governance Specialist Spain We are on a mission to pioneer the world's next era of play. As we grow across Europe and Latin America, we're building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day. _*]:min-w-0 gap-3"> As AI Risk & Technical Governance Specialist at Super Technologies, you will sit at the intersection of AI/ML technical expertise and governance, risk, and regulatory compliance. Working across product, engineering, data science, and risk teams, you will operationalise AI governance across the full model lifecycle - ensuring our AI systems are trustworthy, compliant, and built to withstand regulatory scrutiny. This is a hands-on role that requires both deep technical fluency and the ability to translate complex AI concepts into clear governance and risk positions. _*]:min-w-0 gap-3"> What the role involves _*]:min-w-0 gap-3"> Technical AI governance and assurance _*]:min-w-0 gap-3"> Operationalise AI governance requirements across the full AI lifecycle, from ideation and use-case approval through development, validation, deployment, monitoring, change management, and retirement. Review AI and ML systems at a technical level, including model design, feature pipelines, training approaches, validation methods, deployment architecture, monitoring controls, and human oversight mechanisms. Translate technical system characteristics into clear governance, risk, and regulatory positions, including mapping to requirements under

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