Scale is at the frontier of GenAI and human-AI collaboration. The Gen AI Ops Trust and Safety team is focused on safeguarding human authenticity and genuineness in AI training.

We are looking for a highly analytical Technical Program Manager (TPM) who leans heavily into fraud analytics and data-driven strategy to protect our ecosystem. This isn't a project management role. You will act as the lead investigative analyst and program owner for our fraud defense portfolio.

Your day-to-day will involve diving deep into complex datasets to uncover hidden fraud vectors, and then translating those analytical insights into scalable rules, policies, and operational programs. By utilizing AI coding tools at high velocity, you will build out analytics pipelines, dashboards, and detection logic to shift Trust and Safety from a reactive function to a strategic one that balances safety and growth.

Responsibilities

• Analyze large, messy behavioural events to identify ambiguous and constantly evolving fraud patterns across the contributor lifecycle.

• Translate your analytical findings into actionable detection logic. You will redesign rules, optimize thresholds, and decision flows to catch bad actors while minimizing friction for high-quality contributors.

• Establish robust KPIs, build tracking dashboards, and define offline evaluation frameworks (e.g., false positive monitoring, precision/recall analysis) to continuously measure the health of our risk strategy.

• Act as the connective tissue between data, operations, and engineering. You will use your analytical findings to implement technical execution, taking new detection capabilities from data prototype to production deployment.

• Leverage AI-assisted IDEs daily to rapidly write complex SQL queries, automate data pulls, and streamline your analytical workflows.

• Connect signals, data, and operations to see the full picture. Provide clear, direct communication regarding fraud trends and strategy shifts to both technical and non-technical partners.

Requirements

• 5-8 years of experience in risk strategy and fraud analytics. You have a battle-tested track record of reverse-engineering adversarial patterns, dismantling complex fraud vectors, and driving highly analytical Trust & Safety or TPM programs.

• Expert proficiency in SQL skills. You must be highly comfortable extracting insights from large datasets in noisy, adversarial environments.

• An execution-driven mindset focused on delivering measurable results, not just theoretical analysis. You are comfortable working in ambiguity and taking ownership from data problems to operational solutions.

• Strong proficiency with AI coding assistants to accelerate data exploration and query writing.

• Deep understanding of how to balance aggressive fraud detection with marketplace growth. You make decisions based on what's right for the business, not what's convenient.

Nice to haves:

• Solid Python skills (e.g., Pandas, NumPy) for advanced data manipulation and scripting

• Experience working in marketplace or gig-economy platforms is a plus

Compensation

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, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

Salary Range

The base salary range for this full-time position in the location of San Francisco is: $180,800-$226,000 USD

Benefits

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.

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, Cisco, DLA Piper, 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 accommodations@scale.com.

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.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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In this role, you will have the opportunity to work on cutting-edge projects, collaborate with a talented team of engineers and researchers, and contribute to the development of impactful technologies. You will also have access to a comprehensive benefits package, including healthcare benefits, income protection, generous time off, and professional development opportunities.

The ideal candidate will have a BS in Computer Science, Machine Learning, Electrical Engineering, or a related field, and 5+ years of experience developing and benchmarking ML algorithms. You will have strong Python skills with experience in ML frameworks such as PyTorch, and be eligible to obtain and maintain an active U.S. Secret security clearance.

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As a Staff ASIC Digital Design Engineer, you will be part of our R&D Professional team, specializing in mixed-signal ASIC development and supporting HBM/DDR PHY IP customers. You will work with experts in design, implementation, and verification.

Key responsibilities include:

Creating and debugging test benches and test cases Running RTL and gate-level simulations Supporting application engineers and customers on HBM/DDR PHY topics Contributing to technical documentation Driving product improvements based on customer feedback

The ideal candidate will specialize in one of the following, experience in multiple areas would be a bonus:

ASIC RTL design and verification experience Verilog, PERL, TCL, Python skills Static timing analysis and synthesis knowledge Simulation and debugging abilities HBM/DDR protocol experience is an asset

We offer a comprehensive range of health, wellness, and financial benefits. Your recruiter will share more details about salary and perks during the hiring process.

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The EMEA Wealth Client Data Analyst will join the EMEA Analytics & Automation team, supporting the EMEA Wealth business by owning and maintaining high-quality master data that underpins lead generation and commercial activity.

This position focuses on sourcing, enriching, maintaining, and tracking master data related to client contacts, organisations, and leads across EMEA Wealth. The successful candidate will work closely with colleagues across analytics, automation, and sales teams, using structured and semi-structured data, external data sources, and CRM platforms to support day-to-day delivery and continuous improvement.

In addition, the role provides a strong development opportunity for an early-career analyst to be part of a data-focused team that is building an AI-driven insights and lead intelligence capability. The candidate will contribute to initiatives that enhance how data is collected, enriched, analysed, and surfaced to the business, with hands-on exposure to data analytics, automation, and emerging data engineering and AI use cases.

Key Responsibilities

• Own and maintain high-quality master data on client contacts and organisations to support EMEA Wealth lead generation.
• Perform web scraping and external data collection to identify potential prospects and enrich existing datasets.
• Update and maintain contact and organisation records within Microsoft Dynamics, ensuring accuracy and consistency.
• Upload and manage leads in Dynamics in line with defined processes and data standards.
• Track the status and progression of all leads through the sales pipeline and maintain clear records of outcomes.
• Provide regular updates and reporting to local stakeholders and senior management on lead volumes, progress, and insights.
• Collaborate with colleagues across the EMEA Analytics & Automation team to enhance data quality, automation, and AI-enabled insights.
• Ensure adherence to data governance, privacy, and quality standards at all times.

Skills / Competencies

• Strong data-driven mindset with the ability to understand, review, and validate data for accuracy and relevance.
• High attention to detail and a structured, methodical approach to data quality and maintenance.
• Interest in using data to generate insights and support automation and AI-enabled analytics.
• Basic SQL skills, with the ability to query and review datasets.
• Basic Python skills are a plus, particularly for data extraction, web scraping, or automation.
• Strong organisational and time-management skills.
• Clear written and verbal communication skills.
• Ability to work effectively in a fast-paced, multinational environment.
• Fluency in English.

Experience

• Minimum 1+ year of relevant professional experience in a data, analytics, operations, or commercial support role.
• University degree in a relevant field.
• Experience within financial services, wealth management, or an investment-related environment is strongly preferred.
• Prior experience working with CRM systems (Microsoft Dynamics preferred) is an advantage.
• Experience handling large datasets or structured data processes is beneficial.

Our benefits

To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

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You'll partner directly with the business: Infrastructure, Legal, and Procurement teams to ensure our CSP contracts are properly reflected in our financial systems and that we're capturing costs accurately and in compliance with our agreements. As Anthropic continues to grow rapidly, you'll play a critical role in establishing the financial controls and processes that enable us to manage significant cloud infrastructure investments with precision and confidence.

Responsibilities:

• Own the complete accounting lifecycle for cloud service provider expenses, ensuring accurate and timely recording of all costs
• Review and interpret CSP contracts to ensure proper accounting treatment and compliance with contractual terms
• Design and implement accrual and prepayment processes that accurately reflect the timing and nature of our cloud infrastructure costs
• Track and reconcile commitment-based agreements, ensuring proper recognition and disclosure of our obligations
• Lead accounts payable reconciliation efforts, working with vendors to resolve discrepancies and ensure statement accuracy
• Partner with Procurement and Legal teams on contract reviews, providing accounting perspective on financial terms and implications
• Build scalable processes and controls that can grow with the organisation while maintaining accuracy and efficiency
• Develop automated reporting and monitoring systems to provide visibility into CSP spending patterns and trends
• Collaborate with FP&A to support forecasting and budgeting efforts related to cloud infrastructure costs
• Serve as the subject matter expert on CSP accounting matters, providing guidance to cross-functional teams

You may be a good fit if you:

• Have 10+ years of progressive accounting experience, with significant exposure to vendor accounting and contract review
• Are a CPA (or equivalent) with a deep understanding of GAAP and strong technical accounting skills
• Have experience working with cloud service provider cost structures and understand the unique challenges of accounting for consumption-based services
• Possess strong analytical and problem-solving skills, with the ability to dive deep into data to identify issues and opportunities
• Have proven experience building accounting processes and controls in high-growth environments
• Are proficient with modern ERP systems (NetSuite, Workday, Oracle, or similar)
• Can translate complex contractual terms into proper accounting treatment
• Excel at cross-functional partnership and can effectively communicate accounting concepts to non-finance stakeholders
• Thrive in fast-paced environments where priorities can shift quickly
• Have a bias toward automation and process improvement

Strong candidates may also have:

• SQL and BigQuery proficiency, enabling direct data analysis and validation
• Python skills for building automation and analytical tools
• Experience in consumption-based or usage-based business models
• Background combining Big 4 accounting experience with industry roles at technology companies
• Track record of implementing automated reconciliation and reporting solutions
• Experience supporting rapid growth and scaling initiatives
• Familiarity with commitment-based purchasing agreements and their accounting implications

The annual compensation range for this role is $190,000 - $230,000 USD.

Logistics

• Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

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