We are seeking a strategic and analytical leader to oversee our Revenue Intelligence & Forecasting function within the Ads Revenue Operations organization. This role is responsible for end-to-end revenue planning, forecasting, and performance intelligence across Spotify's global ads business.

The leader will drive accuracy, standardization, and scalability of revenue processes while delivering actionable insights to senior sales and executive leadership. This role sits at the intersection of Sales, Business Operations, Finance, Product, and Data, and plays a critical role in shaping revenue strategy and operational rigor. Success in this role requires exceptional proficiency in large datasets, advanced SQL skills, and a strong command of data warehousing concepts and technical data architecture.

Team Leadership & Organizational Impact

• Lead and grow a high-performing team spanning technical analytics and business-facing revenue operations
• Partner with Product, Data, and Ads Insights teams to ensure data quality and scalability
• Oversee regional sales reporting support, including sales inquiries and performance deep-dives

Revenue Planning & Forecasting

• Own global revenue planning, target setting and forecasting
• Evolve forecasting methodologies using advanced analytics and AI to improve predictability, accuracy and senior leadership decision-making
• Lead scenario modeling and deep-dive analyses to guide strategic decisions and new product or pricing initiatives

Central Revenue Intelligence

• Build and scale centralized reporting frameworks and standardized KPIs that provide clear, actionable visibility into revenue performance across regions, teams and sales channels
• Drive automation and self-service reporting capabilities to reduce manual workflows and accelerate insight generation
• Leverage AI and emerging technologies to build, scale, and continuously optimize reporting and analytics to produce faster insight generation across the organization

Pricing, Inventory & Yield Intelligence

• Deliver insights on pricing, inventory, and yield to inform monetization strategy and financial planning
• Own pricing and inventory forecasting and analysis, delivering critical inputs to financial planning and revenue outlook while partnering with Product and Yield Strategy teams to ensure accurate inventory modeling across all ad formats and sales channels

Who You Are

• You have 10+ years of experience in revenue operations, sales strategy, finance, or analytics within a high-growth ads or marketplace business
• You have led forecasting and planning functions at scale, with a strong understanding of revenue drivers and performance management
• You are experienced in building and developing teams in complex, matrixed organizations
• You know how to partner with senior sales leadership and influence executive stakeholders with credibility and clarity
• You have a strong analytical and technical foundation, including advanced SQL skills and experience with data modeling and warehousing concepts
• You are skilled at translating complex data into clear, compelling narratives that drive decisions
• You have experience working cross-functionally with Product, Finance, and Data teams to deliver business impact
• You bring a forward-looking mindset and are comfortable leveraging AI and emerging technologies to improve workflows, insights, and scalability

Where You'll Be

• This role is based in New York
• We offer you the flexibility to work where you work best! There will be some in-person meetings, but still allows for flexibility to work from home

Additional Information

The United States base range for this position is $191,274 to $273,249, plus equity. The benefits available for this position include health insurance, six-month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave.

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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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We're looking for a Senior Data Scientist to join our Research, Analytics & Data Science (RAD) team. The RAD team turns insight into action by uncovering customer, product, and business insights and translating them into tools and decision systems embedded directly into GTM workflows.

AI has unlocked an entirely new generation of internal tools for our GTM teams. We're evolving from static dashboards to LLM and agent-powered workflows that do the work: auto-researching accounts, summarizing prior interactions, drafting personalized outreach, flagging renewal risk, and assembling decks and docs - enabling Sales and Success to focus on high-value conversations.

Responsibilities:

• Design, evaluate, and ship AI-powered internal tools for GTM use cases - including account research & summaries, next-best-action recommendations, renewal propensity, pipeline risk detection, QBR/autobrief generation, and post-call summarization & follow-ups.

• Work end-to-end: Own the full lifecycle, from problem definition and data modeling to building production-ready tools, including writing Python backends and React frontends.

• Prototype fast, ship to learn: Rapidly build with users, then productionize quickly to iterate and deliver impact.

• Instrument for adoption and outcomes: Define success through real usage and measurable business impact (e.g., improved win rate, conversion, expansion).

• Evangelize and enable: Document playbooks, run enablement sessions, and help leaders operationalize new tooling across teams.

Requirements:

• Proven track record of applied data science with measurable GTM impact - you've shipped models or tools that moved metrics like conversion, cycle time, or retention.

• LLM/ML application experience - familiarity with RAG, prompt and tool design, vector search, evals and have leveraged AI for development.

• Excellent SQL skills and fluency in Python or R, with experience applying analytical and statistical methods to business problems.

• Experience with orchestration tools (e.g., DBT, Airflow) for deploying reliable data workflows.

• Strong communication and empathy - ability to translate complex data concepts for non-technical stakeholders.

• Collaborative product mindset - comfort working closely with Sales and Success teams to turn ambiguity into clear deliverables.

Benefits:

• Competitive salary and equity in a fast-growing start-up

• Unlimited access to Claude Code and best-in-class AI tools; experimentation & building is encouraged & celebrated.

• We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen

• Regular compensation reviews - we reward great work

• Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents

• Open vacation policy and flexible holidays so you can take time off when you need it

• Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones

• MacBooks are our standard, but we're happy to get you whatever equipment helps you get your job done

Policies:

• Intercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.

• We have a radically open and accepting culture at Intercom. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values.

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This is an in-office role preferably based in NYC. You will report directly to the BSA/AML Program Lead.

As a Senior SAR Program Manager, you will lead the design, implementation, and continuous improvement of the end-to-end SAR program, including investigation workflows, quality assurance, filing processes, and escalation protocols.

You will apply hands-on experience in financial crimes investigations to build and refine SAR investigation operational procedures that align with BSA/AML, OFAC, and other applicable regulations and industry best practices.

Responsibilities include:

• Design and optimize compliance case review and SAR investigation operational procedures to ensure regulatory compliance, consistency, and efficiency.

• Continuously review SAR and monitoring processes; recommend and implement enhancements to improve efficiency, reduce false positives, strengthen detection of suspicious activity, and elevate overall program effectiveness.

• Demonstrate deep regulatory knowledge of BSA/AML/OFAC, combined with strong process and systems design, communication, and data analytics skills.

• Build tactical and scalable solutions for SAR investigation teams to manage high-volume compliance tasks and associated risks.

• Draft and maintain all relevant SAR program documentation, policies, procedures, and training materials in accordance with regulatory updates, new product launches, and Compliance team standards.

• Collaborate cross-functionally to develop and track key health metrics for the SAR program; analyze trends and patterns in investigations; and produce monthly metrics and reports for presentation to leadership and various forums.

Basic qualifications include:

• 7+ years of progressive experience in financial crimes compliance, with direct, hands-on experience conducting and/or leading FinCrimes investigations.

• Proven track record as a SAR Program Manager or in a senior SAR investigations leadership role, including designing and managing SAR processes from intake through filing.

• Deep expertise in SAR investigation processes, regulatory requirements (BSA, AML, OFAC), and industry best practices.

• Analytical and metrics-driven mindset with the ability to anticipate problems and develop complete, practical solutions.

• Strong collaborator who works effectively with cross-functional teams and stakeholders at all levels of seniority.

Preferred qualifications include:

• Direct experience managing or supporting 504 NYDFS requirements.

• Background in money transfer, fintech, payments, or regulated financial services environments.

• Nice to have: CAMS or other relevant industry certifications (e.g., CFE, CRCM).

• Nice to have: Basic SQL skills or experience working with transaction monitoring / case management systems.

Compensation and benefits include a base salary of $148,000-222,000 USD, plus equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State.

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The stack is modern: StarRocks as our primary analytical layer, Flink for processing, DBT for transformation, Airflow for orchestration and various tooling for surfacing insights.

You'll be working on things that matter and are technically interesting:

• Design and build data pipelines for large volumes of payment data that are performant, reliable, and correct , not just fast.

• Own end-to-end data flows: from ingestion and transformation through to the outputs that Finance, Product, and clients depend on.

• Drive data quality across your domain with tooling.

• Work cross-functionally with Product, Finance and enable other Engineering teams via a 'consulting' style model.

• Contribute to how the team works , code review culture, CI/CD standards, ADRs, how we handle incidents , we're building these practices now and senior engineers shape them.

• Help onboard and level up engineers around you; there's real opportunity to make an impact here.

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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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We are seeking a Compute Cost of Revenue Accountant to join our Accounting team at Anthropic. In this role, you will own the financial accounting, allocation, and reporting for compute-related Cost of Revenue (COR). As Anthropic scales its AI infrastructure, accurate COR accounting and cost allocation are critical to understanding the economics of our products and informing strategic investment decisions.

Responsibilities:

• Own end-to-end Cost of Revenue accounting for compute-related costs, ensuring accurate classification, reporting, and month-end close activities

• Design, implement, and maintain COR allocation methodologies that accurately attribute overhead and direct costs to product lines and business segments

• Build and manage ERP allocation schedules to automate cost distribution and ensure consistency across reporting periods

• Scope and formulate accounting policies governing how infrastructure costs are allocated to Cost of Revenue vs. Operating Expenses

• Partner with Finance & Strategy to analyse COR trends, gross margin impacts, cost efficiency metrics, and unit economics

• Collaborate with data engineering and analytics teams to build and refine COR data pipelines, validate data quality, and improve reporting accuracy

• Develop scalable processes to support rapid growth in compute infrastructure spend while maintaining strong internal controls

• Prepare variance analysis comparing actual COR to budget and forecast, investigating and explaining significant fluctuations

• Support external audit requirements related to COR, cost allocations, and related accounting policies

• Prepare management reports and supporting schedules for COR, gross margin, and cost allocation analysis

• Work cross-functionally with Capital Efficiency, Infrastructure, and Product teams to understand compute cost drivers and improve allocation accuracy

You may be a good fit if you:

• Have 8+ years of progressive accounting experience with meaningful exposure to cost accounting and Cost of Revenue

• Hold a Bachelor’s degree in Accounting or Finance; CPA or equivalent preferred

• Demonstrate experience with COR and COR allocation methodologies, including overhead and direct cost attribution

• Have hands-on experience working with ERP allocation schedules and automated cost distribution

• Show ability to scope and formulate accounting policies for allocating costs to COR

• Are proficient in financial analysis and comfortable working with large datasets

• Be familiar with gross margin analysis and unit economics

• Have a builder mindset—comfortable creating processes from scratch in a fast-paced environment

• Exhibit strong organisational skills and attention to detail

Strong candidates may also:

• Have experience with NetSuite or Workday ERP systems

• Possess SQL skills for querying and analysing cost datasets

• Understand compute infrastructure cost structures and cloud economics

• Have experience at a technology company with consumption-based revenue models

• Show genuine curiosity about AI technology and the infrastructure that supports it

• Demonstrate proficiency with AI-assisted tools for enhancing financial analysis

• Have experience with cross-charge or intercompany allocation processes

Deadline to apply: None. Applications will be reviewed on a rolling basis.

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.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only

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