You'll empower our team to meet the highest standards for quality, speed, and compliance. Ready to lead from the front? Apply now and be part of this transformative mission.

Your key responsibilities will include:

• Maintaining a high score across Fraud and User (Re-)Review workflows, ensuring smooth and empathetic user experiences
• Focusing on fraud prevention and user trust without compromise
• Driving high-speed quality control & learning loops by consistently completing Quality Control (QC) evaluations and keeping control of any backlog
• Resolving structural issues before they affect our users
• Ensuring unwavering regulatory compliance by upholding strict adherence to all regulations and fraud detection frameworks
• Leveraging AI for Scaled Efficiency by deploying AI tools to evaluate an increasing case volume and innovating AI-enhanced workflows to streamline and scale quality operations

You’ll thrive in our environment if this sounds like you:

• You have a strong understanding of KYC, EDD, AML, and fraud detection frameworks, as well as deep regulatory knowledge to ensure accurate decision-making under high stakes without compromising user experience
• You’re experienced in implementing and optimizing AI-driven systems to evaluate cases and streamline quality control
• You’re capable of scaling quality operations efficiently as case volumes grow
• You’re proficient in balancing team workloads with business demands and regulatory audits, keeping critical error rate at 0%
• You have strong communication skills to align stakeholders and drive team performance

Requirements

• You're fluent in English and an excellent communicator
• You’re familiar with tools like Looker to identify and address root causes of performance gaps
• You have proven experience leading high-performance teams while maintaining strict SLAs
• You have the ability and willingness to leverage AI for scaled efficiency

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As an Engineering Manager, you will be part of the Discovery team in the Guest Experience department. The team is responsible for designing and maintaining the list page of our website, ensuring users can easily find the best vacation rental from our search results.

Your contributions will help create a seamless and joyful journey for travellers, which will result in increasing conversion rates and customer satisfaction.

Your team will consist of frontend & backend engineers (direct reports), a project manager and a QA engineer.

You'll work closely with the Ranking, Conqueror, and Marketing teams, which manage the machine learning models for property ranking on the list page, booking systems, and Holidu's marketing efforts. Together, you'll ensure a seamless and cohesive user experience.

Our Tech Stack

• Frontend: Typescript and NodeJS processes in Kubernetes. We use ReactJS, Zustand and TailwindCSS on the client and Express on the server.

• Backend: Java 17/21, Kotlin (Spring Boot).

• Infrastructure: Microservices architecture deployed on AWS Kubernetes (EKS).

• Data Management: PostgreSQL, Redis, Elasticsearch 7, Redshift (part of a data lake structure).

• DevOps Tools: AWS, Docker, Jenkins, Git, Terraform.

• Monitoring & Analytics: ELK, Grafana, Looker, Opsgenie, and in-house solutions.

Your role in this journey

• Lead a high-performing cross-functional team, focusing on product innovation, infrastructure reliability, delivery speed, quality, engineering culture, and team growth.

• Ensure your team delivers applications that are highly scalable, highly available, and capable of handling high traffic of up to 1 million unique users per day.

• Support team growth through regular feedback, mentorship, and by recruiting exceptional engineers.

• Work closely with product management, product design, and stakeholders to define the team's goals (OKR’s) and roadmap.

• Collaborate with peers, staff engineers, and other stakeholders to drive strategic technology decisions.

• Lead strategic team-driven projects, identify opportunities, define and uphold quality standards.

• Foster a great team culture aligned with the company values, ownership, autonomy, and inclusivity within your team and the entire department.

• Take full responsibility for delivering impactful features to millions of users annually.

The role includes dedicating approximately 40-50% of the time as an individual contributor focused on feature implementation.

Your backpack is filled with

• A bachelor's degree in Computer Science, a related technical field or equivalent practical experience.

• Experience building and implementing backend services and/or frontend applications.

• Experience providing technical leadership (e.g., setting goals and priorities, architecture design, task planning and code reviews).

• Experience as a people manager with the ability to build an excellent team culture based on mutual respect, empathy, learning and support for each other.

• Love for building world-class products with a great user experience.

Our adventure includes

• Impact: Shape the future of travel with products used by millions of guests and thousands of hosts. At Holidu ideas become products, data drives decisions, and iteration fuels fast learning. Your work matters,and you’ll see the impact.

• Learning: Grow professionally in a culture that thrives on curiosity and feedback. You’ll learn from outstanding colleagues, collaborate across disciplines, and benefit from mentorship, and personal learning budgets,with a strong focus on AI.

• Great People: Join a team of smart, motivated and international colleagues who challenge and support each other. We celebrate wins and keep our culture fun, ambitious and human. Our customers are guests and hosts,people we can all relate to,making work meaningful and energizing.

• Technology: Work in a modern tech environment. You’ll experience the pace of a scale-up combined with the stability of a proven business model, enabling you to build, test, and improve continuously.

• Flexibility: Work a hybrid setup with 50% in-office time for collaboration, and spend up to 8 weeks a year from other inspiring locations. You’ll stay connected through regular events and meet-ups across our almost 30 offices.

• Competitive Package: 95.000-125.000€ + VSOPs based on relevant experience and seniority , learn more about our approach to compensation here.

• Perks on Top: Of course, we also offer travel benefits, gym discounts, and other perks to keep you energized,but what truly sets us apart is the chance to grow in a dynamic industry, alongside amazing people, while having fun along the way.

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This internship provides a great opportunity to gain hands-on experience into Data Analytics. You will work alongside a team of highly skilled and dedicated professionals who are committed to offering strong mentorship and guidance to help you start your career in the field of data.

Duration: 6 months. Location: Munich, 2-3 office days per week.

Our Tech Stack

• Database: AWS Stack (Redshift, Athena, Glue, S3).
• Data Pipelines: Airflow, DBT.
• Data Visualization: Looker.
• Data Analytics: SQL, Python.
• Collaboration: Git, Atlassian.

Your role in this journey

As a Data Analytics Intern at Holidu, you’ll help our company make smarter, data-driven decisions, while being supported by a Senior Analyst.

This role goes beyond building dashboards. We want curious, proactive people who want to become data advisors - not only delivering reports, but understanding the business context, which questions they answer and why they matter.

• Collect, analyse, and interpret large datasets to help solve real business challenges.
• Build dashboards and reports using tools like SQL, Python, and Looker.
• Collaborate closely with teams such as Product, Marketing, or Finance to help them extract actionable insights from data.
• Build and improve data pipelines using cutting-edge technologies.
• We are an AI-first team. Rather than manually executing repetitive tasks, you will use AI to work smarter and automate workflows.
• You’ll collaborate with our Data Scientists and get exposure to:
• Data preparation and exploratory data analysis.
• How ML-models are built, evaluated, and deployed in real-life.

Your backpack is filled with

• Currently enrolled in or recently completed a Bachelor’s or Master’s degree in a quantitative field (e.g., Business Analytics, Data Science, Economics, Statistics, Mathematics, Engineering or similar).
• Understanding of SQL and Python, proficiency in Excel/Google Sheets and a desire to learn visualization tools like Looker.
• Knowledge of Machine Learning and Statistical models is a plus.
• Strong analytical and problem-solving skills, and attention to detail.
• Curiosity to learn and a passion for solving data problems.
• Good communication and presentation skills.

Our adventure includes

• Compensation: Get a fair salary.
• Impact: Make a difference for hundreds of thousands of monthly users.
• Growth: Take responsibility from day one and develop through regular feedback.
• Community: Engage with international, diverse, yet like-minded colleagues through regular events and 2 office days per week with your team.
• Flexibility: Benefit from our hybrid work policy and the chance to work from other local offices for up to 8 weeks a year.
• Fitness: Get a Urban Sports Club corporate subscription or a premium gym membership at a discounted rate.

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You'll work closely with a wide range of Marketing stakeholders, ensuring they have the data, tools, and insights they need to drive sustainable growth. Moreover, you will also collaborate with data scientists and data engineers within the department to build best-in-class analytical solutions.

Our Tech Stack

• Database: AWS Stack (Redshift, Athena, Glue, S3).
• Data Pipelines: Airflow, DBT.
• Data Visualization: Looker.
• Data Analytics: SQL, Python.
• Collaboration: Git, Jira, Confluence, Slack.

Your role in this journey

• You'll be leading data analysts and collaborating cross-functionally with data engineers and data scientists - fostering collaboration, learning, and analytical excellence.
• Engage with senior marketing leadership on strategic projects, providing insights that influence channel strategy and budget decisions, and ultimately our revenue growth.
• Translate marketing logic, for a diverse range of channels (e.g. Performance Marketing, SEO, CRM, affiliate) and use cases into analytical requirements and communicate complex findings clearly to both technical and commercial teams.
• Support and partner with Marketing Technology on tracking, event design, and data flows to ensure data quality and reliable reporting frameworks.
• Not shying away from hands-on work as an individual contributor (50% to start), while leading the team, diving deep into the details when needed.
• Shape the future of marketing analytics at Holidu by recruiting top talent, setting clear goals, and developing your team personally and professionally.

Your backpack is filled with

• 5+ years multi-channel marketing analytics experience in a B2B or B2C organisation where marketing is a core performance driver, with extensive hands-on expertise in at least one of the following: attribution, cost and revenue allocation, or bidding.
• People management experience - this should not be your first leadership role.
• A collaborative mindset with clear experience communicating with executive stakeholders and senior decision makers.
• You are mission-driven, with a working backwards mentality (i.e. starting with customer needs) and clear experience managing and delivering complex projects with multiple stakeholders. Ability to translate business goals into analytical solutions and break down complex topics into actionable insights.
• Excellent analytical and technical skills. Concretely: strong in SQL, Python (or similar), data visualisation skills as well as developing technical frameworks to serve a clear business need.
• A strong personal or team focus on AI enablement: you actively use AI tools to enhance your coding, planning, and workflows, and can enable your team to do the same.

Our adventure includes

• Impact: Shape the future of travel with products used by millions of guests and thousands of hosts. At Holidu ideas become products, data drives decisions, and iteration fuels fast learning. Your work matters - and you’ll see the impact.
• Learning: Grow professionally in a culture that thrives on curiosity and feedback. You’ll learn from outstanding colleagues, collaborate across disciplines, and benefit from mentorship, and personal learning budgets - with a strong focus on AI.
• Great People: Join a team of smart, motivated and international colleagues who challenge and support each other. We celebrate wins and keep our culture fun, ambitious and human. Our customers are guests and hosts - people we can all relate to - making work meaningful and energizing.
• Technology: Work in a modern tech environment. You’ll experience the pace of a scale-up combined with the stability of a proven business model, enabling you to build, test, and improve continuously.
• Flexibility: Work a hybrid setup with 50% in-office time for collaboration, and spend up to 8 weeks a year from other inspiring locations. You’ll stay connected through regular events and meet-ups across our almost 30 offices.
• Perks on Top: Of course, we also offer travel benefits, gym discounts, and other perks to keep you energized - but what truly sets us apart is the chance to grow in a dynamic industry, alongside amazing people, while having fun along the way.

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This role is on-site in Munich, with two office days per week.

As a Senior Team Lead Data Analytics, you will lead one of Holidu's core analytics teams, a function at the intersection of data, strategy, and real business impact. The team has four direct reports and entails collaborating cross-functionally with data engineers and data scientists.

Engage with senior leadership on strategic projects, providing insights that influence product strategy, internal operations, and revenue growth.

You and your team will support a range of stakeholders across the company (e.g. Customer Support, Host Experience, Sales and Account Management).

As a member of the BI leadership team, you will help shape the department strategy and the future of AI-powered data products.

Understand problems and identify opportunities across a diverse range of stakeholder use cases, translating them into analytical requirements and communicating complex findings clearly to both technical and commercial audiences.

Lead from the front: this role carries meaningful individual contributor responsibility. You'll be expected to do real analytical work, diving deep into the data, building solutions, and setting the bar for quality in your team.

Shape the future of analytics at Holidu by recruiting top talent, setting clear goals, and developing your team personally and professionally.

The ideal candidate will have 5+ years of data analytics experience, people management experience, a collaborative mindset, a mission-driven mentality, excellent analytical and technical skills, and a genuine commitment to AI enablement.

Impact: Shape the future of travel with products used by millions of guests and thousands of hosts. At Holidu ideas become products, data drives decisions, and iteration fuels fast learning. Your work matters - and you’ll see the impact.

Learning: Grow professionally in a culture that thrives on curiosity and feedback. You’ll learn from outstanding colleagues, collaborate across disciplines, and benefit from mentorship, and personal learning budgets - with a strong focus on AI.

Great People: Join a team of smart, motivated and international colleagues who challenge and support each other. We celebrate wins and keep our culture fun, ambitious and human. Our customers are guests and hosts - people we can all relate to - making work meaningful and energizing.

Technology: Work in a modern tech environment. You’ll experience the pace of a scale-up combined with the stability of a proven business model, enabling you to build, test, and improve continuously.

Flexibility: Work a hybrid setup with 50% in-office time for collaboration, and spend up to 8 weeks a year from other inspiring locations. You’ll stay connected through regular events and meet-ups across our almost 30 offices.

Perks on Top: Of course, we also offer travel benefits, gym discounts, and other perks to keep you energized - but what truly sets us apart is the chance to grow in a dynamic industry, alongside amazing people, while having fun along the way.

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As a Senior Data Scientist, you will work on various topics such as rankings, recommendations, user segmentation, user lifetime value, business forecasts, etc. You will have access to our huge dataset and work in collaboration with stakeholders from various departments.

Your objective is to build the best internal and external products for our customers. Holidu highly values a diverse and open environment with people from all over the world.

This role is based in Munich with a hybrid setup.

Our Tech Stack

• Flexible data science environment (Python, Sagemaker)
• Database: AWS Stack (Redshift, Athena, Glue, S3).
• Data Pipelines: Airflow, DBT.
• Data Visualization: Looker.
• Data Analytics: SQL, Python.
• Collaboration: Git.

Your role in this journey

You will play a pivotal role in the Business Intelligence team alongside data scientists, analysts, and engineers. Together, you will lead the development and enhancement of our company-wide machine learning strategy.

• Collaborate across various business departments to identify opportunities and solve critical business challenges using data science solutions.
• Build and optimize predictive models such as booking cancellation forecasts, churn predictions, pricing optimization, revenue forecasting and marketing channel allocation.
• Take models from conception to production, continuously monitor their performance, and iterate to enhance accuracy and efficiency.
• Interface with diverse business stakeholders, ensuring alignment between data science initiatives and company goals.
• Demonstrate leadership in data science projects, leveraging your expertise to drive measurable business impact.

Your backpack is filled with

• 3+ years of experience as a Data Scientist, with a proven track record of applying data science methodologies to solve complex business problems.
• A degree in Machine Learning, Computer Science, Mathematics, Physics, or a related field.
• Expertise in statistics, predictive analytics, machine learning techniques, and proficiency in tools like Python and SQL.
• Experience with Airflow and dbt is a plus.
• Strong understanding of business operations and experience collaborating with diverse stakeholders.
• Enthusiasm for data science and a drive to deliver world-class products that make a difference.

Our adventure includes

• Impact: Shape the future of travel with products used by millions of guests and thousands of hosts.
• Learning: Grow professionally in a culture that thrives on curiosity and feedback.
• Great People: Join a team of smart, motivated and international colleagues who challenge and support each other.
• Technology: Work in a modern tech environment.
• Flexibility: Work a hybrid setup with 50% in-office time for collaboration, and spend up to 8 weeks a year from other inspiring locations.
• Perks on Top: Of course, we also offer travel benefits, gym discounts, and other perks to keep you energized.

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Are you ready to shape the future of travel tech at scale? We are seeking an exceptional Staff Frontend Developer to drive technical excellence across our entire booking funnel.

We're among the leading travel tech companies worldwide, growing substantially and sustainably year after year, with a mission to make vacation home booking and hosting decisions stress-free and packed with joy.

Our vibrant team of over 600 talented individuals from 60+ countries shares a passion for cutting-edge technology, constant improvement, and creating exceptional experiences for our 50,000 hosts and 100 million website users each year.

Your Future Team

As a Staff Frontend Engineer, you'll be the technical authority across all teams in the booking funnel , from the Discovery team's list pages all the way through the checkout funnel to the Post Booking experience.

You'll design and implement overarching frontend architecture that scales to handle millions of users, while establishing best practices that elevate the entire engineering department.

Our Tech Stack

• Core Technologies: TypeScript, ReactJS, NodeJS, Zustand, TailwindCSS, Express, Vite, SSR.
• Data Infrastructure: DynamoDB, Redis.
• Cloud & DevOps: AWS, Kubernetes, Docker, Jenkins, Git.
• Monitoring & Analytics: Sentry, ELK, Grafana, Looker, OpsGenie, and internally developed technologies.

Technical Leadership & Strategy

• Define the technical vision and strategy for the frontend engineers of GX department, aligning with organizational goals and anticipating industry trends.
• Architect scalable, high-availability frontend systems serving 1M+ daily users across the entire booking funnel.
• Lead the design and implementation of department-wide technical initiatives that impact conversion rates, customer satisfaction, and technical excellence.

Cross-Team Collaboration & Influence

• Partner with Engineering Managers and Department Leaders to shape the technical roadmap.
• Contribute to specifications for large-scale projects, organizing parallel workstreams that reassemble into cohesive launches.

Technical Excellence & Innovation

• Establish, iterate on, and enforce engineering best practices (testing, documentation, architecture) department-wide.
• Review code and set quality standards that become the gold standard across teams.

Mentorship & Knowledge Leadership

• Mentor senior developers, helping them grow into technical leaders.
• Lead department-wide knowledge sharing initiatives and technical workshops.

Your Backpack is Filled with

• 8+ years of frontend development experience with deep expertise in JavaScript (ES6+), TypeScript, and ReactJS.
• Proven track record of architecting large-scale frontend applications handling millions of users.
• Expert-level proficiency with state management, performance optimization, and modern build tools.

Leadership & Strategic Thinking

• Demonstrated ability to define and execute technical strategies at department or company level.
• Experience leading cross-functional initiatives and influencing without direct authority.

Business & Domain Knowledge

• Ability to connect technical decisions to business KPIs and department goals.
• Experience working closely with product and business stakeholders at all levels.

Our Adventure Includes

• Strategic Impact: Shape the technical direction of a rapidly growing travel tech leader.
• Technical Excellence: Work with cutting-edge technologies and influence architectural decisions.
• Leadership Growth: Lead initiatives that impact millions of users and mentor the next generation of engineers.

Want to Travel with Us?

Take a peek into our culture on Instagram @lifeatholidu and check out Tech at Holidu to meet the people behind the product.

Apply now and let’s make vacation dreams come true – at scale.

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You'll be part of our new Dynamic Pricing & Revenue Management team, working alongside a Data Scientist and a Data Analyst. Together, you will work towards one core goal: helping hosts improve occupancy and earnings through a smart, dynamic, and data-driven pricing strategy.

Our Tech Stack

• Data Storage & Querying: S3, Redshift (with decentralized data sharing), Athena, and DuckDB.
• ML & Model Serving: MLflow, SageMaker, and deployment APIs for model lifecycle management.
• Cloud & DevOps: Terraform, Docker, Jenkins, and AWS EKS (Kubernetes) for scalable, resilient systems.
• Monitoring: ELK, Grafana, Looker, OpsGenie, and in-house tools for full visibility.
• Ingestion: Kafka-based event systems and tools like Airbyte and Fivetran for smooth third-party integrations.
• Automation & AI: Extensive use of AI tools like Claude, Copilot, and Codex.

Your role in this journey

As a Data Ops Engineer – Revenue Management, you'll be the engineering backbone that enables our Data Scientists to move from experimentation to production. You bridge the gap between data science models and reliable, scalable production systems.

Responsibilities

• Support model deployment and serving: help deploy pricing and demand models into production, building and maintaining APIs and serving infrastructure.
• Build and operate production pipelines: ensure data flows reliably from source to model to output, with proper monitoring and alerting.
• Collaborate cross-functionally: work closely with Data Scientists, Analysts, and Engineering teams to turn prototypes into production-ready solutions.
• Own infrastructure and tooling: set up and maintain the environments, CI/CD pipelines, and infrastructure that the team depends on.
• Ensure operational excellence by implementing monitoring, automated testing, and observability across the team's production systems.
• Migrate and productionize POC: turn experimental code into robust, maintainable Python applications.
• Ensure data quality, consistency, and documentation across revenue management metrics and datasets.

Benefits

• Impact: Shape the future of travel with products used by millions of guests and thousands of hosts.
• Learning: Grow professionally in a culture that thrives on curiosity and feedback.
• Great People: Join a team of smart, motivated, and international colleagues who challenge and support each other.
• Technology: Work in a modern tech environment.
• Flexibility: Work a hybrid setup with 50% in-office time for collaboration, and spend up to 8 weeks a year from other inspiring locations.
• Perks on Top: Of course, we also offer travel benefits, gym discounts, and other perks to keep you energized.

Experience

• 4+ years of experience in Software Engineering, Data Engineering, DevOps, or MLOps.
• Strong hands-on skills in Python , you write clean, production-quality code.
• Experience with CI/CD, Docker, and infrastructure-as-code (e.g., Terraform).
• Familiarity with cloud platforms (AWS preferred) and deploying services in production.
• Exposure to or interest in ML model deployment (MLflow, SageMaker, or similar) is a strong plus.
• Desire to learn and use cutting-edge LLM tools and agents to improve your and the entire team's productivity.
• A proactive, hands-on mindset: you take ownership, spot problems, and drive solutions forward.

How to apply

If you're excited about this opportunity, please submit your application on our careers page!

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Anthropic is looking for a Data Engineer to join the Safeguards team and build the data foundations that keep our AI systems safe. The Safeguards team works to monitor models, prevent misuse, and ensure user well-being.

You'll design and build the data pipelines, warehousing solutions, and analytical tooling that power our safety and trust efforts at scale. You'll work closely with engineers, data scientists, and policy teams to ensure the Safeguards organization has the data it needs to detect abuse patterns, measure the effectiveness of safety interventions, and make informed decisions about model behavior and enforcement.

This is a high-impact role where your work will directly support Anthropic's mission to develop AI that is safe and beneficial.

Responsibilities

• Design, build, and maintain scalable data pipelines that support safety monitoring, abuse detection, and enforcement workflows
• Develop and optimize data models and warehousing solutions to enable efficient analysis of large-scale usage and safety data
• Build and maintain dashboards and reporting infrastructure that give Safeguards teams visibility into model behavior, misuse patterns, and enforcement outcomes
• Collaborate with engineers to integrate data from multiple sources , including model outputs, user reports, and automated classifiers , into a unified analytical layer
• Implement data quality frameworks, monitoring, and alerting to ensure the reliability of safety-critical data
• Partner with research teams to surface data insights that inform model improvements and safety interventions
• Develop self-service data tooling that enables stakeholders to explore safety data and generate reports independently
• Contribute to data governance practices, including access controls, retention policies, and privacy-compliant data handling

You may be a good fit if you:

• Have 3+ years of experience in data engineering, analytics engineering, or a related role
• Are proficient in SQL and Python, with experience building and maintaining ETL/ELT pipelines
• Have hands-on experience with modern data stack tools such as dbt, Airflow, Spark, or similar orchestration and transformation frameworks
• Have worked with cloud data platforms (BigQuery, Redshift, Snowflake, or similar)
• Are comfortable building dashboards and data visualizations using tools like Looker, Tableau, or Metabase
• Communicate clearly and can translate complex data concepts for both technical and non-technical audiences
• Are results-oriented, flexible, and willing to pick up slack even when it falls outside your job description
• Care about the societal impacts of AI and are motivated by safety work

Strong candidates may have:

• Experience with trust & safety, integrity, fraud, or abuse detection data systems
• Experience with large-scale event streaming systems (Kafka, Pub/Sub, Kinesis)
• Built data infrastructure that supports ML model monitoring or evaluation
• A background in statistical analysis, or experience collaborating closely with data scientists
• Developed internal tooling or self-service analytics platforms

Strong candidates need not have:

• A formal degree in Computer Science or a related field , we value practical experience and demonstrated ability over credentials
• Prior experience in AI or machine learning , you'll learn the domain-specific context on the job
• Previous experience at an AI safety or research organization
• Deep expertise across every tool listed above , familiarity with a subset and a willingness to learn is enough

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position 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.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact , advancing our long-term goals of steerable, trustworthy AI , rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

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In this role, you will translate planning and operational questions into metrics, dashboards, and analyses that inform decision-making. You will be responsible not only for producing rigorous analytical work, but also for ensuring the analytics products you build are reliable, well understood, and continuously improving based on how they are used.

This role is ideal for an early-career analyst who is technically strong, thoughtful about system design, and motivated to improve how data is used across the organization.

Responsibilities

• Build and maintain dashboards, scorecards, and analytical tools that track performance against plan and surface relevant risks, to be used in recurring planning and operating reviews
• Iterate on dashboards and analytical tools by incorporating feedback from users and evolving requirements as planning processes mature.
• Perform quantitative analyses including forecasting, trend analysis, scenario modeling, variance analysis, and root-cause investigations.
• Partner with data engineering and platform teams to define data requirements, validate data quality, and ensure analytical outputs are accurate and trusted.
• Document assumptions, definitions, and methodologies to ensure metrics are understood and applied consistently across the organization.

Requirements

• 1–2+ years of professional experience in an analytics-focused role (Data Analyst, Analytics Consultant, or similar).
• Degree in a quantitative or analytical field (Statistics, Engineering, Data Science, Math) or equivalent practical experience
• Strong foundation in advanced analytics; ability to write Python, R, SQL, or other analytic languages
• Experience building business-facing dashboards and visualizations using tools such as Palantir Foundry, Looker, Tableau, Power BI, or similar is a plus
• Demonstrated ability to work cross-functionally, aligning diverse stakeholders and driving outcomes
• Ability to thrive in a fast-paced ambiguous environment, balancing detail orientation with strategic judgment
• Must be authorized to work in the United States

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This is a highly cross-functional role for someone who thrives at the intersection of financial analysis and strategic decision-making. You'll build models, track performance, and surface insights that guide how we allocate resources and scale our GTM investments.

Responsibilities:

• Build and maintain financial models to assess GTM investment efficiency, scenario plan, and evaluate trade-offs across growth initiatives
• Own budgeting and forecasting processes for GTM spend, partnering with budget owners to align plans with strategic priorities
• Analyze operating KPIs and funnel data to evaluate unit economics, channel performance, and overall GTM effectiveness
• Partner cross-functionally to surface insights and support strategic decision-making
• Develop dashboards, reporting, and executive-ready materials to communicate progress against goals

You'd be a great fit if...

• You have 4+ years of professional experience, ideally in a mix of financial services (Consulting / Equity Research / Private Equity) and highly analytical roles at a fast-growing company (Strategic Finance)
• You are highly proficient in Google Sheets (advanced formulas) and Looker (or similar BI tools) and comfortable working with large datasets
• You are detail-oriented and have a “measure twice, cut once” approach when working with financial data
• You’re excited to work cross functionally with the business teams to develop a greater understanding of function-specific efficiency metrics and help course-correct where necessary
• You take ownership and are a resourceful self-starter,you proactively seek context, solve ambiguous problems, and anticipate stakeholder needs
• You are excited about AI and how it's reshaping finance, and you actively explore and apply AI tools to drive faster insights, greater efficiency, and smarter decision-making
• You communicate complex insights clearly, tailoring your message for different audiences (finance vs. marketing)
• You thrive in a fast-paced, cross-functional environment and enjoy collaborating with marketing, finance, and growth teams
• You are excited about joining a mission-driven company and driving marketing efficiency to improve mental healthcare access

Compensation and Benefits: The expected base pay range for this position is $131,750 - $165,000, based on a variety of factors including qualifications, experience, and geographic location. In addition to base salary, this role may be eligible for an equity grant, depending on the position and level.

Benefits offered include:

• Equity compensation
• Medical, Dental, and Vision coverage
• HSA / FSA
• 401K
• Work-from-Home Stipend
• Therapy Reimbursement
• 16-week parental leave for eligible employees
• Carrot Fertility annual reimbursement and membership
• 13 paid holidays each year as well as a Holiday Break during the week between December 25th and December 31st
• Flexible PTO
• Employee Assistance Program (EAP)
• Training and professional development

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Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly.

Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.

Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.

Finance at Brex

The Finance team is a strategic engine at Brex. We lead planning, forecasting, capital allocation, and ROI analysis , partnering across the business to drive clarity and unlock opportunity. We partner across teams at Brex to ensure our business is building and planning with the same dream big goals throughout our entire organization. We’re not here to report on outcomes; we shape them.

If you want to influence company direction and think long-term about value creation, this is where your ownership starts.

Where you’ll work

This role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of two coordinated days in the office per week, Wednesday and Thursday. Starting February 2, 2026, we will require three days per week in the office - Monday, Wednesday, and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

What you’ll do

As the Finance Manager, Commissions, you will be crucial in driving our company's success by ensuring accurate and effective commission structures and payouts for our sales and revenue teams. Your work will directly impact our salesforce motivation and productivity, helping us achieve our growth targets. You will join our dynamic finance team and collaborate with senior leadership across various departments.

We are seeking an individual who is passionate about our business, possesses strong analytical skills, and demonstrates strategic thinking to help optimize our commission processes as we expand. The ideal candidate should thrive in tackling challenges and be adept at addressing complex problems with a high degree of organization and attention to detail.

Reporting to the Director of Finance, the Finance Manager, Commissions will be key members of the Finance team, responsible for designing, implementing, and managing our commission structures.

Responsibilities

• Assists in designing and modeling commission and sales incentive plans. Partner with sales management to provide cost-impact solutions and/or opportunities related to commission/incentive designs.

• Own the Captivate IQ strategy, implementation, and reporting of commission/incentive processing policies and procedures.

• Ensure commission and sales incentive payments have been properly processed.

• Prepare monthly commission and sales incentive payment summary reports for Executive leadership with trend analysis and forecast projections.

• Analyze sales performance data to provide insights and recommendations to senior leadership on commission-related decisions.

• Act as a liaison within Finance, fostering alignment with the Sales, Revenue, and Operations teams to ensure commission accuracy and effectiveness.

• Continuously improve and streamline commission processes to enhance efficiency and transparency.

• Respond to escalated calls regarding complex commission or sales incentive-related processing problems.

Requirements

• BA/BS degree, preferably in Business, Finance, or Accounting

• 4+ years of relevant finance, commissions, revenue operations, or sales operations experience.

• Experience with implementing and maintaining Captivate IQ.

• Proven track record of leading a team in a distributed work environment

• Exceptional communication and interpersonal skills with proven success partnering and collaborating across various functions

• Experience retrieving and handling large amounts of data in Excel or other database systems

• Highly self-motivated and stellar work ethic with strong attention to detail

Nice to Have

• Advanced analytical skills and significant knowledge and understanding of US GAAP

• Experience working in a SaaS company or other recurring revenue model business

• Experience with Salesforce, Looker, and Hex Compensation

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At Coinbase, our mission is to increase economic freedom in the world.

We're seeking a Senior Accountant to join our UK Finance team.

As a Senior Accountant, you'll own daily finance operations and have input and review to sharpen forecasts, model scenarios, and turn raw data into crisp, board-ready insights.

You'll play a pivotal role in scaling Coinbase’s presence in the UK and wider EMEA region through new licence applications, new product launches, and governance.

This is a high-impact position designed for a versatile finance professional who can navigate the complexities of a regulated fintech environment while driving long-term efficiency through automation.

Responsibilities:

• Ensure compliance with internal controls, policies, and procedures over platform accounting activities

• Collaborate with cross-functional partners to operationalize new areas of the business to facilitate streamlined accounting transactions as assigned

• Analyze data against business drivers to identify trends / issues

• Provide support for internal and external audits related to specific areas of responsibility

• Maintain up-to-date process documentation and procedures as assigned

• Contribute to automation and efficiency initiatives to streamline reconciliations

• Assist on preparation and/or review of month-end and quarter-end close, own UK IFRS books of accounts and reconciliations, maintain major accounting policies, and adjust financial statements as required.

• Oversee the monthly US GAAP to local IFRS accounting adjustments.

• Supporting regulatory reporting requirements.

• Monitor and oversee outsourced finance services, ensuring performance meets agreed SLAs/KPIs.

• Supporting the Global finance function as part of the month end close cycle.

• Support ad hoc financial information requests from the UK Head of Finance and other stakeholders as required.

Requirements:

• 5+ years working in public accounting or in the fintech/financial services industries preferred.

• Experience working in a regulated environment.

• BA/BS in Accounting or related field, or ACCA/ACA preferred.

• Basic knowledge/understanding of payment systems and cash reconciliation processes at a large financial institution.

• Basic knowledge of blockchain technology and the crypto economy.

• Possess excellent analytical skills business partnering, problem solving, and prioritization skills.

• Able to work well in a dynamic environment and be able to recommend and implement process improvements.

• Excellent communication skills, both written and verbal.

• Strong work ethic and team player.

AI Requirements:

• Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality.

Nice to haves:

• Experience working in Netsuite, FloQast, and G-Suite.

• Basic knowledge of SQL and experience working with Snowflake, Looker, or similar analytics tools.

• Basic knowledge of Client Asset Safeguarding.

Pay Transparency Notice: The target annual base salary for this position can range as detailed below. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, and vision).

Annual base salary range (excluding equity and bonus):

£76,500-£85,000 GBP

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Responsibilities: Partner with teams throughout Discord through the full lifecycle of data science analytics from ideation and exploratory analysis, to building dashboards and reports, and A/B testing. Define KPIs and metrics that help improve the user experience, encapsulating these measures in clean crisp dashboards that provide the company with timely and actionable information. Use our amazing infrastructure to quickly and easily build custom data sets to monitor novel product features and processes. Proactively socialize insights, dashboards, and reports with technical and non-technical audiences, soliciting feedback on where to improve. Be a champion of A/B testing and help groups throughout the company design, analyze, and interpret A/B tests correctly. Collaborate with data and engineering teams to design scalable and future-proof instrumentation.

Requirements: 4+ years of experience autonomously translating ambiguous business problems into deep informative insights through hands-on analytics. 4+ years of experience building performant dashboards using Tableau, Looker, or similar software, with proficiency in designing clean crisp visualizations. 4+ years experience writing excellent SQL. Excellent communication skills, with the ability to translate complicated findings or technical approaches in easy-to-understand ways. 4+ years of experience in the design, analysis, and interpretation of A/B tests in a large data environment. A desire to work with amazing, passionate people who care deeply about solving challenging problems to improve Discord. Last but not least, a collaborative attitude and a healthy dose of natural curiosity!

Bonus Points: Passion for Discord or online communities. Experience with technical leadership, being the point person for one or more stakeholder groups. Experience with analytics for social media or international subscription-based online services, including familiarity with concepts such as social graphs, LTV analysis, funnel analysis, etc. Experience in the user engagement and growth problems. Experience writing performant code in BigQuery SQL. Experience with writing production ETL.

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About the Role: Anthropic is seeking a highly organized, analytically grounded Sales Strategy, Operational Excellence partner to help run the operating system of our go-to-market organization. As Anthropic's GTM motion scales rapidly, the difference between a sales org that grows and one that grows well comes down to operating discipline: a forecast call that runs the same way every week, a planning cycle where every team knows the timeline before it starts, and a single set of standards that Sales and Strategy both recognize as their own.

Responsibilities:

• Run the CCO operating rhythm - Support the weekly forecasting and pipeline review cadence for the CCO and Sales leadership: prepare the inputs, run the mechanics, capture actions, and make sure follow-ups close
• Own the calendar, templates, and pre-read standards for recurring operating reviews (forecast, pipeline, QBRs) so leaders spend their time on decisions, not logistics
• Track commitments and risks coming out of operating reviews and drive them to resolution between meetings

Unify operating standards across Sales and Strategy

• Establish and maintain a single set of operating standards, definitions, tools, and best practices across the Sales and Strategy organization so that teams are running the same plays the same way
• Document core processes (forecasting methodology, pipeline hygiene, deal stage criteria, rules of engagement) and drive adoption through enablement and reinforcement, not just publication
• Identify where teams have diverged in process or tooling, understand why, and bring them back to a common standard without breaking what's working locally

Drive planning, targets, and quota

• Act as the program management backbone for annual and in-year planning: standardize timelines, templates, and tooling; serve as the central DRI for data aggregation; and be the primary point of contact for cross-functional partners like Systems, Finance, and HR
• Support target setting across the broader GTM organization, building the models and managing the process that translates the company plan into segment, region, and team-level numbers
• Support comp plan design and quota setting: partner with Sales leadership, Finance, and Total Rewards on plan mechanics, manage the quota allocation and deployment process, and ensure quotas reconcile to plan
• Support territory and capacity planning by maintaining the headcount-to-coverage view and flagging gaps before they become attainment problems

Build for scale

• Design processes that hold up as the organization triples; what works as a spreadsheet today should have a clear path to a system tomorrow
• Build the templates, runbooks, and documentation so operating quality doesn't depend on any single person being in the loop
• Partner with Systems and Analytics to move repeatable manual work into tooling, and use Claude to accelerate documentation, data aggregation, and process design

Ideal Candidate:

• Have 7+ years in sales operations, sales strategy, revenue operations, business operations, or a similar function, with direct experience supporting the operating cadence of a sales organization
• Have run or materially supported core GTM planning processes end to end: annual planning, target setting, quota allocation, territory design, or comp plan rollout
• Are an exceptional program manager; you can take a loosely defined cross-functional effort, put a plan around it, and drive it to a deadline across teams you don't control
• Understand the rhythm of a sales org from the inside: what a forecast call is for, what 'commit' means, why pipeline coverage matters, and what makes a quota feel fair or unfair to a rep
• Are highly structured and detail-oriented without being rigid; you build the standard, but you know when the standard needs to bend
• Communicate clearly and concisely up, down, and across; you can write the one-page pre-read that lets a leadership meeting start at the decision instead of the context
• Are fluent in Excel/Sheets (modeling, lookups, structured data) and comfortable working in Salesforce; SQL or Looker experience is a plus but not required
• Are energized by bringing order to ambiguity and have a low ego about doing the unglamorous work that makes an organization run

Strong Candidates May Also Have:

• Experience with sales compensation design (SPIFs, accelerators, plan mechanics) and the downstream operational realities of administering them
• Exposure to consumption-based or usage-based revenue models where forecasting and quota design don't follow the standard SaaS pattern
• Familiarity with planning and territory tools (Anaplan, Pigment, Fullcast, or similar)
• A track record of using AI tools to accelerate operational and program management work

Annual Compensation Range: $1-$2 USD

Logistics: Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position 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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As a leader in aging care innovation, Honor empowers older adults to live life on their own terms. With a global franchise network and over 100,000 Care Pros, Home Instead delivers over 50 million hours of personalized care annually.

This is a senior individual contributor role that will lead a cross-functional project team to drive meaningful impact on our business. You will:

• Own the product strategy & roadmap for one or more of our focus areas, setting and delivering against metrics & KPIs aligned with company goals
• Develop a deep understanding of customer needs and business goals through strong analytics, direct observation, and collecting stakeholder feedback
• Identify and evaluate opportunities to leverage technology to accelerate future growth and improve customer outcomes
• Build deep relationships with stakeholders beyond the Product team to develop cross-functional solutions to critical company challenges
• Drive delivery across multiple concurrent initiatives aligned to strategic priorities

You will be successful if you:

• Take pride in your work; always pushing yourself and those around you to set (and achieve) ambitious goals, never settle for mediocrity
• Are comfortable operating in ambiguous environments and using judgment, data, and collaboration to move decisions forward
• Have strong data analytics skills (comfortable with SQL, Looker or other BI platform); able to ask the right question and determine the key takeaway with messy or incomplete information
• Are excited about leveraging generative AI to solve human behavior problems and enjoy spending your time learning about new technologies and applications
• Have strong written and verbal communication; comfortable clearly explaining product decisions, tradeoffs, and outcomes to executive audience in a written memo
• Demonstrate empathy and emotional intelligence when working with wide range of stakeholders, including but not limited to, clients, care pros, and cross-functional teams

We're looking for you to bring:

• Technical degree (engineering, economics, etc) or experience in a technical organization
• 10+ years experience in product management
• Experience working on a product to support a complex operational function or having direct operations experience, including rolling out large-scale operational & process changes in conjunction with product releases (and love this type of problem)
• Experience at a fast-growing, scrappy company

Our range reflects the hiring range for this position. We use national average to determine pay as we are a remote first company. Individual pay is based on a number of factors including qualifications, skills, experience, education, and training. Base pay is just a part of our total rewards program. Honor offers equity and 401K with up to a 4% match. We provide medical, dental and vision coverage including zero cost plans for employees. Short Term Disability, Long Term Disability and Life Insurance are fully employer paid with a voluntary additional Life Insurance option. We offer a generous time off program, mental health benefits, wellness program, and discount program.

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Your responsibilities will include:

• Designing, standardizing, and codifying processes, products, and tools that will power our next-generation fulfillment network.
• Defining operating models that can scale globally, balancing efficiency, cost, speed, and customer experience.
• Building, not just managing, initiatives end-to-end, from diagnosing the problem, designing the solution, building prototypes, and driving implementation.
• Leveraging data to uncover bottlenecks, quantify opportunities, and make recommendations that drive millions in cost savings and unlock new service capabilities.
• Building forecasting and scenario planning models to guide long-term network design and capacity planning.
• Partnering with engineering, product, operations, finance, and commercial teams to align on priorities, build solutions, and scale them across the network.
• Translating operational pain points into product requirements and ensuring adoption of new tools and processes.
• Establishing and rolling out SOPs, reporting cadences, and KPIs that become the backbone of Fulfillment execution.
• Driving governance and accountability around execution, ensuring every site runs on the same playbook.
• Leading high-impact, white-space projects (automation, robotics, B2B/Retail compliance, international expansion) that redefine the limits of what Flexport Fulfillment can deliver.
• Developing and executing multi-year roadmaps in partnership with senior leadership.

You should have:

• 7–10+ years of experience in fulfillment, logistics, supply chain, or operations strategy,ideally with direct exposure to high-volume networks.
• Extremely strong technical skillset: SQL (expert), Excel/Google Sheets (advanced), BI tools (Looker, Tableau, PowerBI), and preferably Python or R for modeling and automation.
• A proven record of designing and implementing scalable processes/products that delivered measurable business impact.
• Strong strategic thinking, with the ability to connect day-to-day execution to P&L drivers and long-term vision.
• Entrepreneurial mindset: thrives in ambiguity, comfortable building from scratch, and naturally biased toward action.
• Executive-level communication skills, with the ability to influence stakeholders across all levels of the organization.
• Bonus: Experience working with robotics, warehouse automation, or building new fulfillment products (B2B, Prep, Returns, Retail compliance).

Why this role is different: This role is one of the most independent, entrepreneurial, and impactful within Flexport Fulfillment. You won’t just manage a process,you’ll design and build the future of how we fulfill, scale, and serve customers. Your fingerprints will be on everything from the technology we use to the services we offer.

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You will design and maintain trustworthy data models for core marketing metrics, manage the full lifecycle from prototyping through production, and develop and govern dbt data pipelines. You will also build and optimize dashboards that deliver real-time, self-serve insights across high-priority marketing areas, drive data independence for Marketing stakeholders, and collaborate with the Marketing team and data partners to establish the AI Business Context layer for marketing use cases.

You will serve as the primary data partner for marketing managers, demand generation teams, and leadership, translating complex data insights into clear business recommendations via dashboards, memos, and presentations. You will achieve a comprehensive mastery of Airtable's marketing data models, existing pipelines, and BI tools within the first 6 months, becoming the definitive internal expert.

This is a genuinely AI-native role, requiring active, demonstrated daily use of AI coding tools such as Cursor, Claude, ChatGPT, and Gemini. You must provide specific, concrete examples of how these tools are integral to your work, moving beyond simple familiarity.

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As a Senior Data Scientist, you will partner with product teams to help them identify important questions and answer those questions with data. You will work closely with product managers, designers, and engineers to develop key product success metrics, set targets, measure results, and outcomes, and size opportunities.

Your responsibilities will include designing, building, and updating end-to-end data pipelines, working closely with stakeholders to drive the collection of new data and the refinement of existing data sources and tables. You will also partner closely with product researchers to build a holistic understanding of our customers, products, and business.

You will influence our product roadmap and product strategy through experimentation, exploratory analysis, and quantitative research. You will build and automate actionable models and dashboards, craft data stories, and share your findings and recommendations across R&D and the broader company.

You will drive and shape core RAD foundations and help us improve how the RAD org operates.

We are looking for someone with 5+ years of experience working with data to solve problems and drive evidence-based decisions. You should have excellent SQL skills and experience of applying analytical and statistical approaches to problem-solving. You should also have a proven track record of initiating and delivering actionable analysis and insights that drive tangible impact with minimal supervision.

Excellent communication skills (technical and non-technical) and a focus on driving impact are essential. A strong growth mindset and sense of ownership, innate passion, and curiosity are also required.

Experience with a scientific computing language (such as R or Python) is necessary. Experience with BI/Visualization tools like Tableau, Superset, and Looker is a bonus. Experience working with product teams and leveraging AI tools to boost efficiency and creativity across the data science workflow is also desirable.

We offer a competitive salary and equity in a fast-growing start-up. We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen. Regular compensation reviews, life assurance, comprehensive health and dental insurance, open vacation policy, flexible holidays, paid maternity leave, and 6 weeks paternity leave are also part of our benefits package.

Our working policy is hybrid, with employees expected to be in the office at least three days per week. We have a radically open and accepting culture, avoiding divisive subjects to foster a safe and cohesive work environment for everyone.

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As an Analytics Engineer, you will design, build, and manage scalable data pipelines and ETL processes to support a robust, analytics-ready data platform. You will partner with AI analysts, ML scientists, engineers, and business teams to understand data needs and ensure accurate, reliable, and ergonomic data solutions. You will lead initiatives in data model development, data quality ownership, warehouse management, and production support for critical workflows. You will conduct data analysis and build custom models to support strategic business decisions and performance measurement. You will streamline data collection and reporting processes to reduce manual effort and improve efficiency. You will create scalable solutions like unified data pipelines and access control systems to meet evolving organisational needs. You will work with partner teams to align data collection with long-term analytics and feature development goals.

We're looking for someone who writes advanced SQL with a preference for well-architected data models, optimized query performance, and clearly documented code. You should be familiar with the modern data stack, including dbt and Snowflake. You should have a growth mindset and eagerness to learn. You should exhibit great judgment and sharp business and product instincts that allow you to differentiate essential versus nice-to-have and to make good choices about trade-offs. You should practice excellent communication skills, and you should tailor explanations of technical concepts to a variety of audiences.

Nice to have: exposure to Apache Airflow or other DAG frameworks, worked in Tableau, Looker, or similar visualization/business intelligence platform, experience with operational tools and business systems like Google Analytics, Marketo, Salesforce, Segment, or Stripe, familiarity with Python.

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As a Treasury Analyst at Carta, you will be an integral part of the Fund Administration business, supporting a global FA Treasury team. You will own daily operational processes, drive improvements, and enhance the overall client experience.

Responsibilities

• Own end-to-end payment execution workflows, including initiating and reviewing ACH / Wire and FX payments for client approval
• Collaborate with cross-functional teams to troubleshoot issues, improve processes, and influence product roadmaps
• Communicate with clients and external stakeholders to address inquiries and provide a high-quality support experience
• Lead or support the opening and setup of new client bank accounts in partnership with Onboarding and Implementation teams
• Establish and maintain bank connectivity, ensuring transactions are accurately uploaded to the Carta platform
• Proactively identify operational gaps, risks, and support the development of scalable solutions
• Contribute to the creation and maintenance of internal reporting, documentation, playbooks, and training resources
• Support data analysis and reporting needs using Excel, Metabase, Looker, and other internal data tools
• Verify vendor / payee wire instructions, collect necessary documentation (e.g., W-9s), and ensure compliance with internal controls

Benefits

• Competitive salary
• Opportunities for professional growth and development
• Collaborative and dynamic work environment
• Recognition and rewards for outstanding performance

Requirements

• Fluency in English, both verbal and written
• 2–3 years of experience in Treasury, banking operations, or payment processing, with an interest in growing into more strategic or technical roles
• Strong attention to detail and a high degree of ownership over assigned workflows
• Clear verbal and written communicator who is comfortable interacting directly with clients and cross-functional stakeholders
• Proficient in Excel and adaptable to learning tools like Looker, Salesforce, or other internal platforms
• Comfortable navigating ambiguity, asking thoughtful questions, and proposing ideas for process improvement
• Intellectual curiosity with a strong appetite for continuous learning and growth
• Strong problem-solving and critical thinking skills; naturally curious and solution-oriented
• Interested in building a long-term career in Treasury, Fund Administration, or fintech operations
• Understanding of Fund Administration is a plus

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Your work directly impacts how thousands of customers identify, engage, and convert their ideal buyers. You'll partner with product marketing, sales enablement, and customer success to position identity capabilities and drive adoption.

Key responsibilities include:

Strategic Leadership: Own product strategy and roadmap for identity resolution, defining vision and success metrics that drive measurable improvements in match rates and customer value Identify and prioritize opportunities to enhance identity resolution through new data sources, improved algorithms, and better data quality Evaluate, negotiate, and integrate 3rd party data partnerships that expand identity coverage and accuracy Define and track core metrics including visitor-to-person match rates, IP-to-company accuracy, coverage, latency, and downstream revenue impact Partner with product marketing, sales enablement, and customer success to position identity capabilities and drive adoption

Execution Excellence: Deliver measurable improvements to identity resolution performance through rigorous prioritization, rapid experimentation, and iterative execution Diagnose and resolve data quality issues that impact match rates, customer trust, and product experience Build scalable monitoring and alerting systems that track identity resolution health and enable proactive issue detection Create frameworks for evaluating new data sources and measuring their incremental impact on resolution performance Conduct deep discovery using data analysis, customer interviews, and competitive research to uncover opportunities for improvement

Cross-Functional Partnership: Partner with Platform, Application, and Data teams to ensure seamless integration of identity data into customer-facing products Collaborate with data science and engineering to solve complex problems in entity resolution, probabilistic matching, and signal enrichment Work with analytics teams to instrument metrics, build dashboards, and enable data-driven decision making Enable go-to-market teams through training, documentation, and competitive positioning

What You Bring:

Required Qualifications: 5+ years of product management experience in data-intensive B2B SaaS environments, with focus on data products, identity systems, or platform-level capabilities Deep understanding of identity resolution, entity matching, IP-to-company mapping, visitor identification, and the evolving privacy landscape Technical fluency with SQL, Snowflake, and BI tools (Tableau, Looker) - ability to independently analyze data, diagnose issues, and make data-driven decisions Proven track record identifying, diagnosing, and resolving data quality issues at scale with understanding of coverage, accuracy, and freshness trade-offs Cross-functional leadership - demonstrated ability to influence and align engineering, product, data science, and go-to-market teams without formal authority Customer-centric mindset with experience optimizing adoption funnels and driving engagement for technical products Excellent communication skills - ability to translate complex technical concepts into clear, value-based narratives for executives and customers Bias for action - track record of moving quickly from insight to execution with iterative, test-and-learn approach B2B SaaS experience with enterprise data products, platform products, or GTM tools

Preferred Qualifications: Experience with AdTech, MarTech, or Real-Time Bidding (RTB) ecosystems Background in data science, engineering, or analytics prior to product management Familiarity with 3rd party data sourcing, evaluation, and integration Experience with probabilistic matching, entity resolution, or graph-based identity systems Knowledge of data privacy regulations and their product implications Experience in sales intelligence, marketing technology, or revenue operations domains

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Company: Brex

Join Brex, the intelligent finance platform that enables companies to spend smarter and move faster in over 200 markets.

As a Product Operations Associate, you will serve as the operational partner within a technical product domain, developing deep subject matter expertise and owning the operational readiness of initiatives from early access through GA.

Responsibilities

• Act as the primary operational partner to Product, Engineering, and Design within your domain
• Embed launch enablement into planning and release processes
• Establish and maintain delivery discipline, dependency visibility, and risk tracking
• Define and track success metrics in partnership with Product and Data
• Drive structured communication and alignment across internal stakeholders
• Ensure documentation standards and release communications are clear and scalable
• Surface cross-functional impacts and escalate risks as needed
• Identify operational gaps and implement durable process improvements

Requirements

• 2+ years of experience in program management, product operations, business operations, consulting, or a related field
• Experience participating in or managing cross-functional projects and process improvements
• Proven ability to develop and maintain strong cross-functional relationships across Product, Engineering, Design, and operational teams
• Proficiency in defining, interpreting, and communicating key metrics that drive business success
• Experience establishing and maintaining structured operating frameworks, including product launches throughout the lifecycle
• Ability to balance competing priorities and manage time effectively in a fast-paced environment
• Strong written and verbal communication skills, with the ability to translate complex or technical material to both internal and customer-facing audiences
• High ownership mindset, strong attention to detail, and ability to manage data with a high degree of accuracy
• Self-motivated with demonstrated critical thinking and problem-solving capabilities
• Familiarity with tools such as Snowflake, Looker, Jira, or similar data and workflow platforms

Bonus Points

• Experience supporting product launches from early development through GA
• Background in fintech, payments, or other regulated industries
• Experience partnering closely with customer-facing teams such as GTM or Support
• Interest in improving operational tooling or documentation systems

Compensation

The expected salary range for this role is $81,600 - $102,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

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Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly.

As the Finance Manager, Commissions, you will be crucial in driving our company's success by ensuring accurate and effective commission structures and payouts for our sales and revenue teams. Your work will directly impact our salesforce motivation and productivity, helping us achieve our growth targets.

Responsibilities

Assists in designing and modeling commission and sales incentive plans. Partner with sales management to provide cost-impact solutions and/or opportunities related to commission/incentive designs.

Own the Captivate IQ strategy, implementation, and reporting of commission/incentive processing policies and procedures.

Ensure commission and sales incentive payments have been properly processed.

Prepare monthly commission and sales incentive payment summary reports for Executive leadership with trend analysis and forecast projections.

Analyse sales performance data to provide insights and recommendations to senior leadership on commission-related decisions.

Act as a liaison within Finance, fostering alignment with the Sales, Revenue, and Operations teams to ensure commission accuracy and effectiveness.

Continuously improve and streamline commission processes to enhance efficiency and transparency.

Respond to escalated calls regarding complex commission or sales incentive-related processing problems.

Requirements

BA/BS degree, preferably in Business, Finance, or Accounting

4+ years of relevant finance, commissions, revenue operations, or sales operations experience.

Experience with implementing and maintaining Captivate IQ.

Proven track record of leading a team in a distributed work environment.

Exceptional communication and interpersonal skills with proven success partnering and collaborating across various functions.

Experience retrieving and handling large amounts of data in Excel or other database systems.

Highly self-motivated and stellar work ethic with strong attention to detail.

Nice to Have

Advanced analytical skills and significant knowledge and understanding of US GAAP.

Experience working in a SaaS company or other recurring revenue model business.

Experience with Salesforce, Looker, and Hex Compensation.

The expected salary range for this role is $155,000-$194,000 USD. However, the starting base pay will depend on a number of factors, including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

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You are a subject matter authority in search engine optimization and an excellent communicator who is excited to evangelize and drive adoption of SEO best practices. You understand the nuances of SEO content and are able to use SEO reporting tools to formulate data-driven insights and advise marketing and non-marketing teams on how to continuously improve organic content. You are always learning and are up to speed on AI Optimization trends and tools.

Responsibilities:

• Co-create an Elastic SEO center of excellence with consistent SEO principles, standard processes, and experimentation to guide continuous search visibility and web traffic growth
• Lead the development of SEO strategy for technical elastic.co properties (i.e., Elk stack/platform content, Docs, and Labs)
• Collaborate to build annual goals and metrics with Elastic marketing analytics, technical site owners, and external agencies
• Serve as the SEO authority for new web migrations, web refreshes, redesigns, or other website improvements

SEO Research and Execution:

• Leverage SEO tools to produce in-depth keyword and prompt research and competitive analysis, search intent/behavior research, and recommendations for new technical content (topics, formats, etc.)
• Establish and scale SEO standards and compliance, including, but not limited to, on-page narrative refreshes/rewrites, metadata improvements, copy optimizations, schema markup improvements, meta tags enhancements, cross-linking, etc.
• Provide SEO training to product and engineering teams to improve search visibility for technical organic content

Measurement and Reporting:

• Conduct comprehensive technical SEO audits using our SEO tool, Botify, to identify and resolve technical issues impacting elastic.co such as crawl errors, improper canonicalization, page indexation issues, slow page speed, etc.
• Monitor search performance metrics, using Elastic dashboards and/or reports, and host monthly syncs to review and assist stakeholders optimize webpage content, improve user engagement, and identify new organic content opportunities

What You Bring:

• 5+ years of hands-on SEO experience as an SEO strategist (or similar role) in high-tech, B2B software sales, agency, and/or PLG business model
• Experience with SEO and AIO tools like SEMrush, Profound, Botify, Screaming Frog, Google Search Console (GSC), and Google Analytics (GA4)
• Strong analytical skills and experience building and integrating SEO reporting/dashboards in Looker, Google Analytics (GA4), and Botify (or similar tool)
• Project management experience driving SEO improvements (bonus points for experience using project management tools like Github, and Adobe Workfront!)
• Comfortable working on a fully distributed team around the world
• Able to take ownership and lead through ambiguity
• Bonus: SEMRush-certified or technically writing portfolio

Compensation for this role is in the form of base salary. This role does not have a variable compensation component. The typical starting salary range for new hires in this role is $128,200-$202,900 USD. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below. These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future. An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.

XML job scraping automation by YubHub

As a Technical Product Manager, you will partner with Support, Revenue Operations, program management, and IT to execute the vision, prioritize, and deliver lovable product features that balance innovation with operational excellence.

Key responsibilities include:

User Discovery: Interview internal users to uncover friction points and root causes, translating these insights into detailed functional requirements and clear feature initiatives tied to business outcomes. Cross-Functional Collaboration: Partner with Field, Engineering, and Revenue Operations to scope, plan, and launch 'lovable' products. Outcome Driven: Define and build success metrics directly into the product design phase, using data to inform current execution and future strategy. Innovation: Identify and apply improvements to internal workflows and new feature sets, incorporating GenAI where appropriate. Efficiency & Adoption: Drive internal efficiency, high feature adoption, and operational cost reduction.

Requirements include:

Technical Fluency: A strong technical background with the ability to discuss trade-offs with engineers. Functional Precision: Proven track record of refining high-level business requirements to granular, actionable technical specifications. Analytical Outlook: Professional experience using data to drive continuous improvement and track product-level success. Leadership & Ownership: Ability to operate with high autonomy and ownership in a fast-paced environment, leading cross-team projects to completion. Humble Attitude: A commitment to the success of the team and the company above all else.

Bonus points include familiarity with SQL and platforms like Pendo, Amplitude, Fullstory, or Looker, experience with Elastic Cloud, Elastic Stack, or similar cloud-based search and analytics platforms, and experience or willingness to work in a distributed, remote-first organization.

XML job scraping automation by YubHub

You will help organisations move beyond static dashboards to governed, conversational, AI-powered analytics at the centre of the convergence of business intelligence, data platforms, and generative AI. Enterprise analytics is rapidly evolving from dashboards and static reporting to conversational, AI-driven decision platforms. Databricks AI/BI and Genie empower business users to securely interact with governed data using natural language, transforming the data platform into a true decision platform.

Key responsibilities include:

• Partner with Enterprise AEs to identify, qualify, and close AI/BI opportunities
• Engage C-level, analytics, and line-of-business leaders to modernise analytics strategies
• Displace or expand legacy BI platforms with AI-powered, governed analytics solutions
• Lead conversations around semantic governance, self-service analytics, and natural language data access
• Drive proof-of-value engagements and scale enterprise-wide adoption
• Align AI/BI initiatives to measurable business outcomes (productivity, speed to insight, revenue impact)
• Enable field teams and serve as a subject matter expert on modern analytics architectures

Requirements include:

• Enterprise sales experience in BI, analytics, data platforms, or AI/ML
• Strong understanding of modern analytics architectures and data governance
• Ability to sell to both technical and business stakeholders
• Executive presence and experience navigating complex buying cycles
• Passion for AI and the impact of GenAI on enterprise analytics
• Experience operating in a specialist or overlay sales model
• Ability to translate technical capabilities into clear business value
• 7+ years of Enterprise Sales experience, exceeding quotas in larger accounts

Preferred qualifications include:

• Experience with modern BI platforms such as Tableau, Power BI, Looker, or ThoughtSpot
• Familiarity with semantic layers, metrics stores, or governed data models
• Understanding of lakehouse architectures and cloud data platforms
• Exposure to GenAI, natural language interfaces, or conversational applications
• Consulting or solution design experience in customer-facing roles

XML job scraping automation by YubHub

You'll own forecasting and capacity planning across our support organisation, including FTE teams, AI-powered support channels, and vendor/contractor partnerships. This means building models that predict volume based on product launches, model releases, and customer growth; analysing the relationship between support metrics and business outcomes; and ensuring we have the right resources in the right places to meet our service commitments.

Responsibilities:

Workforce Planning & Forecasting

• Build and maintain staffing models that translate SLA targets into headcount requirements across FTE and vendor teams
• Forecast support volume by analysing historical trends, product release calendars, model launches, and customer base growth projections
• Factor AI support effectiveness (automation rates, deflection, Fin AI Agent performance) into capacity models to ensure accurate human staffing projections
• Partner with vendor managers to align contractor capacity with demand forecasts and service level requirements
• Model scenarios to inform strategic decisions about staffing investments, vendor mix, and coverage models
• Develop frameworks for prioritising automation initiatives based on volume impact and deflection potential

Analytics & Reporting

• Maintain and enhance dashboards that track productivity, response times, CSAT, queue health, and other key support metrics
• Investigate the relationship between support performance and business outcomes (e.g., how response time and satisfaction impact retention and churn)
• Surface trends and insights that inform operational decisions,identifying what's driving volume, where bottlenecks emerge, and where investment is needed
• Translate complex data into clear recommendations for leadership and cross-functional partners

Operational Partnership

• Collaborate with Support Ops, AI Support, and Human Support teams to ensure data and forecasts align with operational reality
• Partner with Finance on headcount planning, budget alignment, and quarterly capacity reviews
• Work with Product and Engineering to anticipate how launches and feature changes will impact support demand
• Contribute to vendor performance management by establishing metrics frameworks and reporting cadences

XML job scraping automation by YubHub

At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world's largest networks that powers millions of websites and other internet properties, from individual bloggers to Fortune 500 companies, protecting and accelerating them without adding hardware, installing software, or changing a line of code.

Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. Cloudflare was named to Entrepreneur Magazine's Top Company Cultures list and ranked among the World's Most Innovative Companies by Fast Company.

The FinTech Data Science team is central to Cloudflare's innovation and harnesses the massive amount of data generated by our network. We cover a broad scope, from optimizing Billing and Revenue operations to detecting Fraud, and possess a unique opportunity to use these insights to discover new products or transform existing ones.

About the Role

We are looking for an Analytics Engineer to join our FinTech Data Science team who cares deeply about data quality and usability. Sitting at the intersection of data engineering and analysis, you will be the architect of our data layer. While our Data Scientists focus on automating decisions, you will focus on the 'truth' of the data , ensuring that the tables and dashboards powering our decisions are accurate, accessible, documented, and reliable.

You will transform raw tables into canonical data models and own the presentation layer that leadership uses to monitor the health of our business. If you are excited to build the foundational data infrastructure that powers a multi-billion dollar fintech operation, we would love to hear from you!

Day-to-day responsibilities include:

• Build out the canonical data schema for FinTech and related organizations by designing and maintaining well-structured, modular, and user-friendly data tables.

• Design, develop, deploy, and operate high-quality production ELT pipelines and data architectures, integrating data from various sources and formats.

• Architect and maintain the presentation layer in BI tools (e.g., Looker/Superset) to ensure dashboards are performant and provide a seamless self-serve experience.

• Act as a strategic partner to stakeholders by translating vague business questions into concrete technical solutions that drive business value.

• Ensure data is accurate, complete, and timely by implementing robust testing, monitoring, and validation protocols for your code and data.

• Establish and share best practices in performance, code quality, data governance, and discoverability while participating in mentoring initiatives.

Required skills, knowledge, and experience:

• 5+ years of experience in Analytics Engineering, Data Engineering, or related roles working with big data at scale.

• Expert-level SQL and proficiency in a high-level scripting language (e.g., Python, R, or Scala) for data automation and manipulation.

• Experience with workflow management tools (e.g., Airflow) to schedule and monitor complex data pipelines.

• Strong experience with dbt or similar frameworks for transforming data in the warehouse.

• Deep experience with BI tools (e.g., Looker, Superset, or Grafana) and a strong understanding of how to structure data for downstream consumption.

• Solid foundation in software best practices, including version control (Git), CI/CD, and data testing/quality frameworks.

• Ability to operate comfortably in a fast-paced environment and take ownership of projects with minimal oversight.

• Excellent communication skills with the ability to bridge the gap between technical engineering terms and business requirements.

• A learning mindset and exceptional curiosity,eagerly diving into new domains and bringing informed ideas to the table.

Bonus Points

Experience in FinTech

What Makes Cloudflare Special?

We're not just a highly ambitious, large-scale technology company. We're a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

Project Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare's enterprise customers,at no cost.

Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.

1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use,it is the first consumer-focused service Cloudflare has ever released.

Here’s the deal,we don't store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.

Sound like something you’d like to be a part of? We’d love to hear from you!

XML job scraping automation by YubHub

hương Campaign & Event Reporting: Build and maintain reporting that provides visibility into the performance of integrated campaigns, programs, and events. Performance Analysis: Analyze campaign and event data to identify trends, insights, and opportunities for improvement. Cohort & Segment Analysis: Support analysis of audience segments and cohorts to better understand reach, engagement, and conversion across integrated programs. Cross-Functional Collaboration: Work closely with Marketing, Sales, and GTM partners to respond to reporting and analysis needs. Operational Excellence: Support improvements to metric definitions, data quality, and reporting consistency for campaign and event measurement. Insight Sharing: Translate analysis into clear, actionable insights and share learnings with stakeholders.

This role requires 3–5 years of experience in analytics, GTM, marketing analytics, or a related field. You should have a strong understanding of GTM metrics related to campaigns, pipeline, and events, as well as experience with data analytics and business intelligence tools (e.g., SQL, Tableau, Looker).

The base salary range for this role is $153,000 - $182,750, and actual base pay will depend on a variety of factors such as education, skills, experience, location, etc.

XML job scraping automation by YubHub

Key responsibilities include:

• Developing operational apps in a scrappy but effective way, working closely with users to iterate and support outcomes
• Building systems and infrastructure that allows applications to mature, roll out, and scale in the field
• Working closely with Anduril's corporate Analytics team to expand our ontologies and generalize our data and workflow applications across the entire company

Requirements include:

• 5+ years experience in technical operating roles
• Proof of delivery - you owned a project end-to-end from ambiguity to delivered, scalable outcome
• Leader - You're skilled in leading through influence and diving into the details yourself but also have experience in building high-performing teams
• Strong communicator - Demonstrated aptitude for strategic partnerships and communication with (non-)technical stakeholders
• Engineering fundamentals - Computer Science, Engineering, Physics or similar background
• You're deeply intellectually interested in the intersection of analytics and the real, physical, atoms-based, hardware world and are motivated by Anduril's mission
• You're energized by business impact & a self-starter: you'd rather build an imperfect solution quickly that is used by many people than a perfect solution that collects dust
• Coding experience - used Python, SQL, React, TypeScript or equivalent
• Data system exposure: dbt, Redshift, Looker/Tableau, Palantir Foundry
• Eligible to obtain and maintain an active U.S. Top Secret security clearance

XML job scraping automation by YubHub

At Coinbase, our mission is to increase economic freedom in the world.

We are seeking a highly motivated accounting professional to join the Controllership team and play a key role in our continued growth and achievement of operational excellence within the Global GL Operations team.

As Coinbase continues to expand its global footprint, the Intercompany and GL Operations team plays a critical role in ensuring the integrity of our global consolidation and the scalability of our financial infrastructure.

Reporting to the Assistant Controller, the Accounting Manager, Intercompany and GL Operations will play a pivotal role in overseeing Coinbase’s global intercompany framework and general ledger functions.

This position will manage the month-end close process for intercompany settlements, transfer pricing execution, and global consolidations.

The ideal candidate will have the opportunity to work with leaders across Tax, Treasury, and Finance Data to operationalize new entity launches and support the growth of a dynamic, high-growth technology company.

Key Responsibilities:

• Lead Global Close Operations: Oversee the team performing monthly close activities for global intercompany transactions, ensuring timely and accurate eliminations and consolidated reporting.

• Cross-Functional Partnership: Partner with Tax, Treasury, and Legal to understand new intercompany agreements and transfer pricing methodologies; design and implement scalable operational processes to support these models.

• Process Ownership: Manage all global processes for intercompany billing, cash settlements, and foreign exchange (FX) gain/loss analysis, ensuring high levels of precision and operational excellence.

• Control Environment: Lead the design, implementation, and documentation of SOX-compliant internal controls over intercompany and GL processes to support Coinbase’s evolving regulatory requirements.

• Data Strategy: Collaborate with Finance Data and Engineering to investigate and resolve platform-related intercompany data issues and automate manual reconciliation workflows.

• Audit & Reporting: Lead the preparation of quarterly audit schedules and provide expert support for internal and external audits related to global entity management and consolidations.

• Strategic Projects: Support and participate in GL-related projects, including M&A integration, new entity set-ups, and ERP enhancements (NetSuite).

• Team Leadership: Mentor and develop staff (L4/L5), fostering a culture of continuous improvement and professional growth.

Requirements:

• CPA required

• 6+ years of experience in Finance/Accounting, with minimum 2 years in a leadership role

• Bachelor’s degree in Accounting, Finance or related field

• Knowledge of U.S. GAAP and Internal Controls

• Experience with implementing SOX 404 as well as on-going documentation

• A demonstrated history of solving multiple and complex operation and accounting challenges

• Project management and systems implementation experience

• Ability to be adaptable and able to work in a dynamic work environment

• Ability to work collaboratively across departmental functions

• Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human‑in‑the‑loop practices to deliver business‑ready outputs and drive measurable improvements in efficiency, cost, and quality.

Nice to Have:

• Experience in the FinTech or Crypto industry.

• Advanced knowledge of SQL and experience working with Snowflake, Looker, or similar big-data analytics tools.

• Experience with M&A integration and international entity expansion.

• Public accounting experience (Big 4 preferred).

• Experience with Netsuite and G-Suite Workspace Collaboration tools.

Pay Transparency Notice:

Depending on your work location, the target annual base salary for this position can range as detailed below. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, vision and 401(k)).

Annual base salary range (excluding equity and bonus):

$166,345-$195,700 USD

XML job scraping automation by YubHub

As a Treasury Associate at Carta, you will be an integral part of the Fund Administration business, supporting a global FA Treasury team. You will own daily operational processes, drive improvements, and enhance the overall client experience.

Responsibilities

• Lead or support the opening and setup of new client bank accounts in partnership with Onboarding and Implementation teams
• Establish and maintain bank connectivity, ensuring transactions are accurately uploaded to the Carta platform
• Review, interpret, and upload bank and brokerage transactions from statements into client bank feeds when automated connectivity is unavailable
• Proactively identify operational gaps, risks, and support the development of scalable solutions
• Experience creating and improving operational workflows and processes from scratch in fast-paced environments with minimal guidance
• Collaborate with cross-functional teams such as Product, Engineering, and Operations to troubleshoot issues, improve processes, and influence product roadmaps
• Communicate with clients and external stakeholders to address inquiries and provide a high-quality support experience
• Own end-to-end payment execution workflows, including initiating and reviewing ACH/Wire and FX payments for client approval
• Verify vendor/payee wire instructions, collect necessary documentation (e.g., W-9s), and ensure compliance with internal controls
• Support data analysis and reporting needs using Excel, Metabase, Looker, and other internal data tools
• Contribute to the creation and maintenance of internal reporting, documentation, playbooks, and training resources

Impact

At Carta, we're building infrastructure that helps innovators unlock the power of ownership. As a Treasury Associate, you'll be at the center of that mission, ensuring our clients' capital flows reliably and efficiently. You'll work closely with the Fund Administration team to help with the day-to-day payment processing requests and bank administration tasks on behalf of fund administration clients.

About You

• 2–3 years of experience in Treasury, banking operations, or payment processing, with an interest in growing into more strategic or technical roles
• Strong attention to detail and a high degree of ownership over assigned workflows
• Clear verbal and written communicator who is comfortable interacting directly with clients and cross-functional stakeholders
• Proficient in Excel and adaptable to learning tools like Looker, Salesforce, or other internal platforms
• Comfortable navigating ambiguity, asking thoughtful questions, and proposing ideas for process improvement
• Experience creating or improving operational workflows and processes in fast-paced environments
• Intellectual curiosity with a strong appetite for continuous learning and growth
• Strong problem-solving and critical thinking skills; naturally curious and solution-oriented
• Interested in building a long-term career in Treasury, Fund Administration, or fintech operations
• Understanding of Fund Administration is a plus

XML job scraping automation by YubHub

The Marketing Operations and Technology Team provides platforms, people, and processes necessary for Global Marketing to plan, execute, and optimize global integrated campaigns at scale and accelerate visitors through stages of the buying cycle.

We are looking for a curious, self-motivated superstar to support the enablement of our analytical platforms that fuel our marketing initiatives. We're looking for a solution-driven data architect who can go beyond simple tracking and reporting. You will facilitate collaboration across many stakeholders to ensure reporting requirements are met.

Key responsibilities:

• Develop infrastructure to deliver actionable insights: Solution across multiple tool sets, including Adobe Analytics, GA4, Salesforce, and BigQuery. Leverage multipoint architecture to deliver robust dashboards to drive customer journey insights and segment creation for personalization activities.

• Stitch & synthesize data: Query, extract, and blend large datasets from multiple sources including our web analytics platform, BI database, CRM, and marketing automation platforms.

• Champion data-driven culture: Advocate for data literacy within the marketing organization, proactively sharing insights in internal communication forums and helping stakeholders ask the right questions.

• Govern tag management: Implement tracking across our TMS platforms: Zaraz, GTM, Adobe Launch

• Pixel governance and management: Deliver requirements to marketing engineering teams for pixel deployment. Audit properties for pixel counts and relevance.

Experience

• 6+ years experience working in a large B2B, D2C, SaaS, or enterprise cloud company

• 5+ years of experience in a data analytics role, preferably within marketing, web analytics, or product analytics

• 5+ years experience implementing data analytics tracking systems.

• Deep, hands-on experience with at least one enterprise-level web analytics platform (e.g., Adobe Analytics, Google Analytics 4, etc.) in a very high web traffic environment

• Experience with A/B/n testing implementations

• Experience with data warehouses like BigQuery, Snowflake or similar

• Proficiency in SQL for querying complex, large-scale datasets

• Knowledge of statistical programming languages, such as Python or R is a plus

• Familiarity with analyzing data from CRM (e.g., Salesforce) and Marketing Automation (e.g., Marketo) platforms to create a full-funnel view

• Proven expertise in creating impactful dashboards and data visualizations using tools like Tableau, Looker Studio, etc

• Exceptional communication and storytelling skills, with the ability to translate analytical findings into clear, concise, and actionable recommendations

• Bachelor's degree in a quantitative field (e.g., Statistics, Economics, Computer Science, Mathematics) or equivalent practical experience is preferred

XML job scraping automation by YubHub

Anthropic is seeking a highly organised, analytically grounded Sales Strategy, Operational Excellence partner to help run the operating system of our go-to-market organisation.

As Anthropic's GTM motion scales rapidly, the difference between a sales org that grows and one that grows well comes down to operating discipline: a forecast call that runs the same way every week, a planning cycle where every team knows the timeline before it starts, and a single set of standards that Sales and Strategy both recognise as their own.

You will sit at the centre of the CCO's operating rhythm and act as the connective tissue between Sales leadership, Revenue Operations, Finance, and Systems.

Week to week, that means making sure the forecast and pipeline cadences run cleanly and that the inputs leaders are looking at are consistent and trusted.

Quarter to quarter, it means driving the mechanics of target setting and quota deployment.

Annually, it means program-managing the planning cycle so that territories, capacity, comp, and targets land on time and tie together.

Responsibilities:

Run the CCO operating rhythm - Support the weekly forecasting and pipeline review cadence for the CCO and Sales leadership: prepare the inputs, run the mechanics, capture actions, and make sure follow-ups close

Own the calendar, templates, and pre-read standards for recurring operating reviews (forecast, pipeline, QBRs) so leaders spend their time on decisions, not logistics

Track commitments and risks coming out of operating reviews and drive them to resolution between meetings

Unify operating standards across Sales and Strategy - Establish and maintain a single set of operating standards, definitions, tools, and best practices across the Sales and Strategy organisation so that teams are running the same plays the same way

Document core processes (forecasting methodology, pipeline hygiene, deal stage criteria, rules of engagement) and drive adoption through enablement and reinforcement, not just publication

Identify where teams have diverged in process or tooling, understand why, and bring them back to a common standard without breaking what's working locally

Drive planning, targets, and quota - Act as the program management backbone for annual and in-year planning: standardize timelines, templates, and tooling; serve as the central DRI for data aggregation; and be the primary point of contact for cross-functional partners like Systems, Finance, and HR

Support target setting across the broader GTM organisation, building the models and managing the process that translates the company plan into segment, region, and team-level numbers

Support comp plan design and quota setting: partner with Sales leadership, Finance, and Total Rewards on plan mechanics, manage the quota allocation and deployment process, and ensure quotas reconcile to plan

Support territory and capacity planning by maintaining the headcount-to-coverage view and flagging gaps before they become attainment problems

Build for scale - Design processes that hold up as the organisation triples; what works as a spreadsheet today should have a clear path to a system tomorrow

Build the templates, runbooks, and documentation so operating quality doesn't depend on any single person being in the loop

Partner with Systems and Analytics to move repeatable manual work into tooling, and use Claude to accelerate documentation, data aggregation, and process design

You may be a good fit if you:

Have 7+ years in sales operations, sales strategy, revenue operations, business operations, or a similar function, with direct experience supporting the operating cadence of a sales organisation

Have run or materially supported core GTM planning processes end to end: annual planning, target setting, quota allocation, territory design, or comp plan rollout

Are an exceptional program manager; you can take a loosely defined cross-functional effort, put a plan around it, and drive it to a deadline across teams you don't control

Understand the rhythm of a sales org from the inside: what a forecast call is for, what 'commit' means, why pipeline coverage matters, and what makes a quota feel fair or unfair to a rep

Are highly structured and detail-oriented without being rigid; you build the standard, but you know when the standard needs to bend

Communicate clearly and concisely up, down, and across; you can write the one-page pre-read that lets a leadership meeting start at the decision instead of the context

Are fluent in Excel/Sheets (modeling, lookups, structured data) and comfortable working in Salesforce; SQL or Looker experience is a plus but not required

Are energized by bringing order to ambiguity and have a low ego about doing the unglamorous work that makes an organisation run

Strong candidates may also have:

Experience with sales compensation design (SPIFs, accelerators, plan mechanics) and the downstream operational realities of administering them

Exposure to consumption-based or usage-based revenue models where forecasting and quota design don't follow the standard SaaS pattern

Familiarity with planning and territory tools (Anaplan, Pigment, Fullcast, or similar)

A track record of using AI tools to accelerate operational and program management work

Logistics

Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

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

XML job scraping automation by YubHub

We are seeking a Senior Product Manager to support the development of CoreWeave's Enterprise Data Platform within the CIO organization. This role will contribute to building a scalable, high-performance data lake and data architecture, integrating data from key sources across Operations, Engineering, Sales, Finance, and other IT partners.

As a Senior Product Manager for Data Infrastructure and Analytics, you will help drive data ingestion, transformation, governance, and analytics enablement. You will collaborate with engineering, analytics, finance, and business teams to help deliver data lake and pipeline orchestration solutions, ensuring accessible data for business insights.

Key Responsibilities:

• Own and evangelize Data Platform and Business Analytics roadmap and strategy across CoreWeave
• Assist with the execution of CoreWeave's enterprise data architecture, helping enable the data lake and domain-driven data layer
• Support the development and enhancement of data ingestion, transformation, and orchestration pipelines for scalability, efficiency, and reliability
• Work with the Engineering and Data teams to maintain and enhance data pipelines for both structured and unstructured data, enabling efficient data movement across the organization
• Collaborate with Finance, GTM, Infrastructure, Data Center, and Supply Chain teams to help unify and model data from core systems (ERP, CRM, Asset Mgmt, Supply Chain systems, etc.)
• Contribute to data governance and quality initiatives, focusing on data consistency, lineage tracking, and compliance with security standards
• Support the BI and analytics layer by partnering with stakeholders to enable data products, dashboards, and reporting capabilities
• Help prioritize data-driven initiatives, ensuring alignment with business goals and operational needs in coordination with leadership

Requirements:

• 5+ years of experience in data product management, data architecture, or enterprise data engineering roles
• Familiarity with data lakes, data warehouses, ETL/ELT and streaming pipelines, and data governance frameworks
• Hands-on experience with modern data stack technologies (such as Snowflake, BigQuery, Databricks, Apache Spark, Airflow, DBT, Kafka)
• Understanding of data modeling, domain-driven design, and creating scalable data platforms
• Experience supporting the end-to-end data product lifecycle, including requirements gathering and implementation
• Strong collaboration skills with engineering, analytics, and business teams to help deliver data initiatives
• Awareness of data security, compliance, and governance best practices
• Understanding of BI and analytics platforms (such as Tableau, Looker, Power BI) and supporting self-service analytics

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

Salary Range: $143,000 to $210,000

Benefits:

• Medical, dental, and vision insurance - 100% paid for by CoreWeave
• Company-paid Life Insurance
• Voluntary supplemental life insurance
• Short and long-term disability insurance
• Flexible Spending Account
• Health Savings Account
• Tuition Reimbursement
• Ability to Participate in Employee Stock Purchase Program (ESPP)
• Mental Wellness Benefits through Spring Health
• Family-Forming support provided by Carrot
• Paid Parental Leave
• Flexible, full-service childcare support with Kinside
• 401(k) with a generous employer match
• Flexible PTO
• Catered lunch each day in our office and data center locations
• A casual work environment
• A work culture focused on innovative disruption

Workplace:

While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration.

XML job scraping automation by YubHub

At Coinbase, our mission is to increase economic freedom in the world.

We're seeking a highly motivated accounting professional to join our Accounting team and play a key role in our continued growth and achievement of operational excellence. The Accounting Manager, Platform will have the opportunity to make meaningful impact on a dynamic, high-growth technology company.

Reporting to the Assistant Controller, the Accounting Manager will be responsible for reconciling and analyzing platform data in the company's financial / platform systems. This position requires impeccable attention to detail and a focus on process improvement.

Responsibilities

• Reconcile and analyze ending balances
• Assist with the launch of new digital assets and products impacting platform accounting operations
• Ensure that appropriate internal controls over platform accounting are in place
• Operationalize new areas of the business to facilitate streamlined accounting transactions
• With major system experience, recognize the links upstream/downstream and verbalize the impacts & reliance in connection with changes or enhancements
• Provide project requirements and coordinate, manage and oversee any testing to improve existing processes and automate any related systems
• Provide support for internal and external audits

Requirements

• 9+ years of progressive accounting experience with a mix of Big 4 public accounting and industry experience in the fintech/financial services industries
• Minimum 2 years of experience in a manager role.
• Financial services industry experience such as fintech, payments and/or broker dealers
• B.A. or B.S degree in Accounting, Finance or related field
• A demonstrated history of solving multiple and complex operation and accounting challenges
• Desire to exceed expectations and drive positive change in the organization
• Operational processes experience
• Advanced Microsoft Excel skills, with the ability to manipulate and digest mass amounts of data required
• Individual should work well in a dynamic environment and be able to recommend and implement process improvements
• Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human‑in‑the‑loop practices to deliver business‑ready outputs and drive measurable improvements in efficiency, cost, and quality.

Nice to Have

• Experience working in Netsuite, FloQast and Google Suite
• Experience working in a SOX control environment
• Basic knowledge of digital assets and the crypto economy, or a desire to learn
• Basic SQL knowledge and experience with reporting/analytics tools (Snowflake, Looker, etc.)
• Experience in working at bank, fin-tech, financial regulatory agency and/or professional service firm serving financial institution clients

Pay Transparency Notice

Annual base salary range (excluding equity and bonus): $166,345-$195,700 USD

XML job scraping automation by YubHub

We're looking for a Planning Analyst who thrives at the intersection of digital and the physical hardware world. You'll design and implement data models, workflows, and analytical tools that directly improve operational performance,enabling Anduril to plan more effectively at scale.

Responsibilities

• Partner with Planning leadership and Anduril's Analytics team to build secure, timely, and extensible ontologies for domains such as Supply Chain, Manufacturing, and Finance.
• Develop reporting and data applications that provide near real-time visibility into planning KPIs, including forecast accuracy, fill rates, and inventory turns.
• Conduct ad-hoc analyses on demand signals, inventory strategies, and supply risk, delivering insights that balance service levels with profitability.
• Run scenario planning and sensitivity analyses to evaluate the impact of market or contract volatility on operational outcomes.
• Collaborate with Analytics engineers to generalise planning workflows and data products across Anduril's production and sustainment organisations.
• Act as a subject matter expert for planning tools and systems, supporting upgrades, enhancements, and best practice adoption.
• Become a trusted resource for leadership by helping them run their organisations more effectively through data-driven insights.

Requirements

• 3+ years of experience in an analytics-focused role (Analytics Engineer, Data Engineer, or Analyst/Consultant with strong supply chain or operations background).
• Strong operational instincts and a track record of owning complex, ambiguous planning problems from start to finish.
• Ability to think strategically and execute tactically.
• Data-driven mindset and ability to turn analytics into action.
• Systems fluency, with experience working across ERP platforms (e.g., NetSuite, SAP, Oracle).
• Cross-functional empathy and ability to understand the needs of engineering, product, deployment, and finance.
• Comfortable with ambiguity and ability to build structure in environments that are scaling fast.
• High ownership, low ego, and value results over credit.
• Ability to anticipate friction before it happens and proactively work to prevent issues rather than react to them.
• Demonstrated experience building and owning processes and ontologies in a fast-paced environment.
• Expert-level SQL skills and proficiency in Python (or other programming languages).
• Experience with BI and analytics tools (Looker, Tableau, Power BI, Palantir Foundry, dbt, Redshift, etc.).
• Strong ability to translate technical models into actionable insights for non-technical stakeholders.
• Self-starter mindset and ability to prioritise velocity and impact.
• Eligible to obtain and maintain an active U.S. Secret security clearance.

XML job scraping automation by YubHub

At Coinbase, our mission is to increase economic freedom in the world.

We're seeking a very specific candidate who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system.

Our work culture is intense and isn’t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there’s no better place to be.

While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment.

Coinbase Canada seeks an Accounting and Regulatory Reporting Manager to join our Global Financial and Regulatory Reporting team.

Reporting to the Director of Reporting and Technical Policy, you will serve as the primary Finance owner for all recurring regulatory filings, including Form 31-103F1, CIRO Form 1, and other OSC/CIRO submissions.

This technical role involves maintaining IFRS books of account and collaborating with cross-functional teams (Tax, Treasury, Legal) to ensure capital adequacy.

You will drive operational excellence by designing scalable processes, building robust internal controls, and automating reporting cycles for a high-growth tech environment.

Responsibilities:

• Oversee the financial and regulatory reporting functions in Canada and ensure these processes operate effectively and accurately, following the Coinbase centralized model, delivering accurate regulatory and financial insights into the business.

• Own the Company’s parallel books of accounts maintained in line with IFRS and maintain appropriate reconciliations and valid support for all adjustments.

• Own end-to-end preparation, review, and coordination of all recurring regulatory filings.

• Responsible for preparation and coordination of financial statements, regulatory reporting, and other related information for external use (audit, submission to regulators, etc.), and play a leading role in external communication as the representative of the Finance department.

• Prepare Coinbase Canada monthly management reporting and analytical review thereof, including reporting and communication to the Board.

• Act as a contact point within the company for financial reporting queries and queries from regulatory authorities relating to the financial and regulatory reporting obligations of the firm.

• Prepare and update various finance policies and procedures.

• Monitor and oversee the performance of outsourced services by outsourced service providers relating to the finance function and assess KPIs and SLAs.

• Active in Coinbase Canada liquidity management and coordinating closely with the treasury team.

• Participate in critical projects, including the transitioning to new external vendors, integration, automation or enhancements.

• Support ad hoc financial information requests and analyses and other special projects as assigned.

Requirements:

• 6+ years' experience as a regulatory reporting or finance professional at a bank, fin-tech, financial regulatory agency, securities dealer or investment dealer, and/or professional service firm serving financial institution clients.

• 3+ years experience working in a regulated entity/environment, with direct involvement in the preparation or review of regulatory filings for a securities regulator (e.g., OSC, CIRO, IIROC, or equivalent).

• Previous Board/senior management level experience, or demonstrated the ability to communicate directly to the Board/senior management.

• CPA or equivalent required.

• Ability to work collaboratively with a broad range of business functions, with an emphasis on senior management and a track record of performing in a management role.

Project management experience is essential.

• Excellent oral and written communication – fluency in English is a key requirement.

• Capacity to meet deadlines while maintaining quality standards and effective time management.

• Ability to thrive in a fast-paced environment within a high growth business.

• Strong knowledge and experience with IFRS.

Expert knowledge of Canadian securities regulatory reporting requirements, including NI 31-103, Form 31-103F1, and familiarity with CIRO capital adequacy rules, is highly preferred.

• Strong communication skills, both written and verbal.

• Experience interacting directly with securities regulators (e.g., OSC, CIRO/IIROC, provincial securities commissions) or supporting regulatory examinations and inquiries.

• Demonstrates the ability to responsibly use generative AI tools and copilots in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality.

Nice to haves:

• Experience working in Netsuite, FloQast and Google Suite.

• Experience with CIRO Form 1 or similar dealer capital adequacy filings.

• Basic knowledge of digital assets and the crypto economy, or a desire to learn.

• Basic knowledge of SQL and experience working with Snowflake, Looker or similar analytics tools.

Position ID: P75564 #LI-Remote

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The Security team's goal is to identify, measure, manage, mitigate, and report risk associated with products to keep our customer's funds and data safe. You will collaborate with program sponsors and cross-functional Security partners to identify, document, and objectively assess opportunities, challenges, and risks across traditional and novel Security domains using qualitative and quantitative factors, including KRIs and KPIs.

You will serve as the Directly Responsible Individual (DRI) for key security initiatives or workstreams when required, owning outcomes and driving decision-making to keep programs moving forward. You will create program strategies and artifacts, including proposals, prioritization frameworks, roadmaps, dependency maps, and risk registers, to drive initiatives that incrementally increase program maturity over time.

You will partner with Product, Engineering, and Security teams to influence adoption of critical initiatives, navigate technical dependencies, and support the Software Development Lifecycle (SDLC) as part of product and feature launches. You will concurrently manage multiple critical projects end-to-end: establishing milestones and timelines, managing cross-functional workstreams and dependencies, holding teams accountable for deliverable quality, and clearly communicating the impact of delays on project timelines and security risk posture.

You will provide program status to Security leadership while ensuring transparency on key metrics, program effectiveness, strategic direction, and changes. You will conduct regular data analysis on security control performance to identify trends, anomalies, and areas for improvement, leveraging BI tools to drive data-informed decisions.

You will drive process improvement and scaling initiatives within security programs by leveraging AI tools, automation, and retrospectives to optimize workflows, reduce manual toil, and achieve outcomes efficiently. You will author Objectives and Key Results (OKRs) to focus teams on the right short-term and long-term goals, and manage change across complex multi-quarter programs.

You will rapidly identify and escalate risks to enable proactive collaboration and timely resolution.

We're looking for a Technical Program Manager II with a strong understanding and proven experience of formal program management methodologies, working knowledge of and experience in cyber/security domain, fluency in leveraging AI in daily workflows to enhance efficiency, drive process improvements, and deliver high-quality, business-ready outputs.

You should have exceptional skills in time management, facilitation, communication, and organization, ability to translate complex concepts simply for varied audiences, experience managing cross-functional teams and stakeholders, and comfortable navigating ambiguity and operating in environments where processes and paved roads may not yet exist.

Nice to haves include professional certification such as PMP, CISSP and CISA, working knowledge of and experience in the technology and/or financial technology industry, experience working across all the three lines of defense (3LOD), and advanced understanding of Generative AI, Google Workspace, JIRA, Linear, Superset, Looker and SQL.

XML job scraping automation by YubHub

As a Senior Analytics Engineer, you will design scalable data models, define consistent business logic, and help establish a strong semantic foundation that enables both human analytics and machine-driven intelligence.

You will partner closely with Finance, People and Company Operations stakeholders, Data Analysts, and Data Engineers to ensure data is accurate, consistent, and easy to consume; whether through dashboards, self-service exploration, or AI-powered workflows.

Responsibilities:

Data Modeling & Semantics

• Design, build, and maintain scalable data models using dbt and Snowflake
• Define and standardize core Finance, HR and Enterprise level metrics (e.g., revenue, ARR, billing, Attrition, Executive Insights, Security) with clear, governed logic
• Establish consistent modeling patterns, naming conventions, and semantic clarity across datasets
• Contribute to a shared semantic layer that supports both analytics and AI use cases

AI-Ready Data & Snowflake Ecosystem

• Prepare high-quality, well-governed datasets for use with Snowflake Cortex and Snowflake Intelligence
• Enable structured data foundations that support LLM-powered use cases, semantic querying, and intelligent applications
• Ensure data is context-rich, well-documented, and aligned with business meaning to improve AI accuracy and trust

Data Quality, Governance & Trust

• Implement robust testing, validation, and documentation practices in dbt
• Ensure consistency across reports and dashboards through shared definitions and reusable models
• Apply data governance best practices, including access controls, lineage, and auditability
• Partner across teams to establish clear ownership and accountability for data assets

Collaboration & Delivery

• Partner with Finance, Analysts, and cross-functional stakeholders to translate business needs into data solutions
• Support self-service analytics by building intuitive, reusable datasets
• Contribute to scalable data workflows that balance immediate business needs with long-term maintainability
• Work within an agile environment, contributing to planning, prioritization, and continuous improvement

AI and Data Mindset

• Demonstrate an AI-first mindset, thinking beyond data models and dashboards to how data can power intelligent systems and decision-making
• Understand the importance of well-modeled, well-documented, and semantically clear data for AI and LLM-based use cases
• A level of comfort leveraging AI-assisted workflows to improve productivity, code quality, and consistency
• Curiosity for emerging capabilities in platforms like Snowflake Cortex and Snowflake Intelligence, and how they can be applied to Enterprise analytics

Requirements:

• 5–8+ years of experience in Analytics Engineering, Data Engineering, or similar roles
• Strong SQL skills and experience building analytics-ready data models
• Mentorship & Engineering Excellence: Mentorship, raising the technical bar, establishing organization-wide standards for dbt/SQL quality and CI/CD
• Hands-on experience with dbt and Snowflake or other ETL, Modeling and database platforms
• Solid understanding of data modeling principles, including dimensional modeling and semantic design
• Ability to navigate highly ambiguous business challenges, translating vague, complex, or competing goals from executive stakeholders into clear, actionable, and robust data solutions
• Experience translating business requirements into clear, maintainable data logic
• Familiarity with SaaS metrics and Finance and People data (e.g., ARR, revenue recognition, billing, attrition etc.)
• Experience with data quality, testing, and documentation best practices
• Exposure to Python, R, or data processing frameworks (e.g., PySpark) is a plus
• Experience with BI tools such as Tableau or Looker
• Strong communication skills and ability to work across technical and business teams

What you can look forward to as an Okta employee!

• Amazing Benefits
• Making Social Impact
• Fostering Diversity, Equity, Inclusion and Belonging at Okta
• Okta cultivates a dynamic work environment, providing the best tools, technology and benefits to empower our employees to work productively in a setting that best and uniquely suits their needs. Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live.

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Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly.

Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.

Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.

Data at Brex

Our Scientists and Engineers work together to make data , and insights derived from data , a core asset across Brex. But it's more than just crunching numbers. The Data team at Brex develops infrastructure, statistical models, and products using data. Our work is ingrained in Brex's decision-making process, the efficiency of our operations, our risk management policies, and the unparalleled experience we provide our customers.

What You’ll Do

As a Data Engineer at Brex, you will be a core contributor in transforming raw data into actionable insights for various departments across the organization. You'll collaborate closely with Data Scientists, Software Engineers, and business units to create efficient data models, pipelines, and analytics frameworks that drive the business forward. You also play a leading role in the design, implementation, and maintenance of Core Data tables, our high-quality, curated data source for a wide range of analytic applications.

Where you’ll work

This role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of two coordinated days in the office per week, Wednesday and Thursday. Starting February 2, 2026, we will require three days per week in office - Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities:

• Design, build, and maintain data models and pipelines that scale with the growing number of services, products, and changes in the company.

• Collaborate closely with Data Scientists, Data Analysts, and Business teams to understand their data needs, translating them into robust, efficient, scalable data solutions that enable ease of predictive analytics, data analysis, and metrics formulation.

• Maintain data documentation and definitions, building and ensuring that source-of-truth tables remain high quality for data science and reporting applications.

• Develop and enable integration with various data sources, allowing for more data-driven initiatives across the company.

• Apply best practices in data management to ensure the reliability and robustness of data utilized across various analytics applications.

• Set and proliferate company-wide standards for data relating to structure, quality, and expectations.

• Act as a liaison between the technical and non-technical teams, bridging gaps and ensuring that data solutions align with business objectives.

Requirements:

• 3+ years of experience in Data Engineering, Data Analytics, or a related field such as Analytics Engineering.

• 2+ years of experience working with modern data transformation tools like DBT.

• Advanced knowledge of databases and SQL with the ability to efficiently stage, process, and transform data.

• Experience integrating and orchestrating data workflows with various modern data tools and systems.

• Experience with data modeling, ETL/ELT processes, and data warehousing solutions.

• Experience working with a data warehouse such as Snowflake.

• Experience with a data workflow orchestrator tool such as Airflow.

• Experience with a programming language such as Python.

• Familiarity with BI tools such as Looker, Tableau, or similar platforms is a plus.

• Exceptional quantitative and analytical skills.

• Strong communication skills and ability to collaborate with various stakeholders, both technical and non-technical.

Compensation:

The expected salary range for this role is $120,800 - $151,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

XML job scraping automation by YubHub

As a Strategic Finance Analyst, you will build detailed financial models from scratch to enable business planning and strategic decision making. You will support executive-level decision making with thorough ROI analysis, conduct contribution margin analysis to understand segment profitability over time, and establish excellent cross-functional relationships across all parts of the Company to deliver data-driven insights.

You will own creation of key analyses for quarterly Board meetings, remain flexible and willing to wear multiple hats in support of high importance, ad hoc leadership requests, and own the marketing budgeting process, including BvA tracking and analysis.

We are looking for a skilled Strategic Finance Analyst with 2–3 years' experience in investment banking (TMT or SaaS coverage preferred), private equity, venture capital, and/or strategic finance at a SaaS company. You should have exposure to SaaS business models, advanced financial modeling skills, and a strong grasp of SaaS metrics.

Key responsibilities include:

• Building detailed financial models from scratch to enable business planning and strategic decision making
• Supporting executive-level decision making with thorough ROI analysis
• Conducting contribution margin analysis to understand segment profitability over time
• Establishing excellent cross-functional relationships across all parts of the Company to deliver data-driven insights
• Owning creation of key analyses for quarterly Board meetings
• Remaining flexible and willing to wear multiple hats in support of high importance, ad hoc leadership requests
• Owning the marketing budgeting process, including BvA tracking and analysis

Requirements include:

• 2–3 years' experience in investment banking (TMT or SaaS coverage preferred), private equity, venture capital, and/or strategic finance at a SaaS company
• Exposure to SaaS business models
• Advanced financial modeling skills
• Strong grasp of SaaS metrics
• Analytical rigor with ability to simplify complex data into actionable insights
• Clear written and verbal communication skills for senior and non-finance stakeholders
• Comfortable in ambiguous, high-growth environments with shifting priorities
• Familiarity with Salesforce, Pigment, or Looker
• SQL or BI tool skills for deeper data analysis
• Prior exposure to GTM forecasting

This is a unique opportunity to drive topline forecasting, planning, and analysis for a high-growth SaaS company and make a real impact.

XML job scraping automation by YubHub

Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly.

Data at Brex

Our Scientists and Engineers work together to make data , and insights derived from data , a core asset across Brex. But it's more than just crunching numbers. The Data team at Brex develops infrastructure, statistical models, and products using data. Our work is ingrained in Brex's decision-making process, the efficiency of our operations, our risk management policies, and the unparalleled experience we provide our customers.

What You’ll Do

As a Data Engineer at Brex, you will be a core contributor in transforming raw data into actionable insights for various departments across the organization. You'll collaborate closely with Data Scientists, Software Engineers, and business units to create efficient data models, pipelines, and analytics frameworks that drive the business forward. You also play a leading role in the design, implementation, and maintenance of Core Data tables, our high-quality, curated data source for a wide range of analytic applications.

Where you’ll work

This role will be based in our Seattle office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of two coordinated days in the office per week, Wednesday and Thursday. Starting February 2, 2026, we will require three days per week in office - Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities:

• Design, build, and maintain data models and pipelines that scale with the growing number of services, products, and changes in the company.

• Collaborate closely with Data Scientists, Data Analysts, and Business teams to understand their data needs, translating them into robust, efficient, scalable data solutions that enable ease of predictive analytics, data analysis, and metrics formulation.

• Maintain data documentation and definitions, building and ensuring that source-of-truth tables remain high quality for data science and reporting applications.

• Develop and enable integration with various data sources, allowing for more data-driven initiatives across the company.

• Apply best practices in data management to ensure the reliability and robustness of data utilized across various analytics applications.

• Set and proliferate company-wide standards for data relating to structure, quality, and expectations.

• Act as a liaison between the technical and non-technical teams, bridging gaps and ensuring that data solutions align with business objectives.

Requirements:

• 3+ years of experience in Data Engineering, Data Analytics, or a related field such as Analytics Engineering.

• 2+ years of experience working with modern data transformation tools like DBT.

• Advanced knowledge of databases and SQL with the ability to efficiently stage, process, and transform data.

• Experience integrating and orchestrating data workflows with various modern data tools and systems.

• Experience with data modeling, ETL/ELT processes, and data warehousing solutions.

• Experience working with a data warehouse such as Snowflake.

• Experience with a data workflow orchestrator tool such as Airflow.

• Experience with a programming language such as Python.

• Familiarity with BI tools such as Looker, Tableau, or similar platforms is a plus.

• Exceptional quantitative and analytical skills.

• Strong communication skills and ability to collaborate with various stakeholders, both technical and non-technical.

Compensation:

The expected salary range for this role is $120,800 - $151,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

XML job scraping automation by YubHub

Key responsibilities include leading and executing strategic initiatives to scale global Support operations, translating operational pain points into product and tooling requirements, building and maintaining dashboards that measure support effectiveness, and influencing senior stakeholders by turning support and operational insights into clear, data-driven narratives.

The ideal candidate will have 7+ years of experience in Operations, Consulting, or Strategy roles, ideally at a SaaS company or large tech company, and a proven track record driving cross-functional initiatives and collaborating across different organizations.

Nice to have skills include familiarity with Databricks tools, experience working on Support Operations for SaaS-based companies, and familiarity with tools like Salesforce, Zendesk, Jira, Looker/Tableau, and operational workflows.

The pay range for this role is $140,000-$192,500 USD, and the total compensation package may also include eligibility for annual performance bonus, equity, and benefits.

XML job scraping automation by YubHub

Reporting to the Director, Product Operations, you will lead key projects, orchestrate jobs using Databricks Jobs and Lakeflow Declarative Pipelines, establish coding, data management, and documentation standards and best practices, and act as the connective tissue between Support, Product, Engineering, and Analytics to drive operational alignment, product readiness, and continuous improvement across support workflows.

Key Responsibilities:

• Build reports and dashboards for monthly, quarterly, and executive-level reporting
• Orchestrate jobs using Databricks Jobs and Lakeflow Declarative Pipelines with built-in data validation and reconciliations
• Establish coding, data management, and documentation standards and best practices
• Act as the connective tissue between Support, Product, Engineering, and Analytics to drive operational alignment, product readiness, and continuous improvement across support workflows
• Lead and execute strategic initiatives to scale global Support operations, including coverage models, KPI frameworks, and support process enhancements.

• Build and maintain dashboards that measure support effectiveness, surface product-driven case trends, and track customer experience across support channels.

• Support quarterly and annual planning cycles, including headcount, capacity modeling, and budget alignment in partnership with Finance and Workforce Management.

• Influence senior stakeholders by turning support and operational insights into clear, data-driven narratives that inform product and business decisions.

What We Look For:

• 5+ years of experience in data and analytics, ideally at a SaaS company or large tech company
• Comfort navigating large datasets using SQL-based tools and delivering dashboards and BI visualizations
• Ability to translate complex data into actionable insights, the communicate and action those insights
• Proven track record driving cross-functional initiatives and collaborating across different organizations such as Product, Engineering, Data Science, GTM, and Support teams
• Excellent communication and stakeholder management skills, with an ability to influence without authority
• Strong process-orientation and systems thinker with bias for action
• Data-driven decision-making
• Experience working in a high-growth, fast-paced environment and managing multiple priorities

Nice to Have:

• Familiarity with Databricks tools, especially for extract/transform/load functions
• Experience working on Support Operations for SaaS based companies.
• Familiarity with tools like Salesforce, Zendesk, Jira, Looker/Tableau, and operational workflows

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.

For more information regarding which range your location is in visit our page here.

Local Pay Range $130,400-$182,600 USD

XML job scraping automation by YubHub

This position is needed to partner in driving a scalable, holistic web analytics implementation strategy while maintaining data integrity of existing setup, ultimately ensuring Twilio.com web tracking capabilities continue to grow, are utilized by the company, and are accurate + reliable. The ideal candidate collaborates with several cross-functional teams at Twilio such as UX, CRO, Web Strategy, Web Dev, Demand Gen, SEO, Content+ more to deliver scalable and easy-to-use web analytics solutions and insights.

As a subject matter expert in this space, you will grow your presence company-wide and eventually own relationships cross-functionally.

We are looking for someone with proven experience in GA4 implementation, business/marketing analytics reporting, analysis and stakeholder communications.

Responsibilities:

Work closely with the Web team to deliver desired web analytics tracking for business stakeholders Own and maintain a holistic GA/web analytics strategy, implementation, troubleshooting, documentation + enablement Brainstorm with technical and non-technical stakeholders on creative ways to meet data requirements, while balancing site performance, holistic tagging strategies, and expanded data capabilities Drive continual web analytics capability improvements, and maintain high standards for data integrity Own and share recurring monthly and adhoc analysis, deep dives, storytelling to uncover the 'so what' - providing actionable insights and recommendations across site, page, channel and A/B testing performance Strategize and build scalable solutions that support company-wide enablement and the utilization of web analytics for data-driven decision-making Partner with our CDP SMEs to orchestrate a unified data strategy, maximizing the integration between our CDP and Google Analytics to drive a 360-degree view of the customer journey

Qualifications:

• 5 years of experience in web analytics
• Expertise in Google Analytics 4, both implementation and analysis.
• Strong knowledge of JavaScript, HTML, and browser dev tools.
• Hands-on experience with Google Tag Manager (GTM)
• Familiarity with A/B and multivariate testing frameworks, as well as web personalization
• Strong communication skills with the ability to communicate effectively with both technical and non-technical audiences
• Detail-oriented with a passion for clean, trustworthy data.
• Strong analytical skills with a track record of independently exploring data, delivering insights, storytelling, and actionable recommendations.
• Excellent collaborator across cross functional teams; skilled in managing stakeholder projects
• Highly reliable and accountable.
• A self-starter.
• Interest or experience in applying AI-driven solutions to analytics workflows.

Desired:

• Familiarity with Big Query, Adobe AEM, Adobe Target
• Interest or exposure to fraud monitoring tools and processes.
• Experience with Looker Studio, Tableau, or other BI tools.
• Working knowledge of Customer Data Platforms (CDPs) and analytics data integrations.
• A deeper understanding of:

First party and third party cookies Cross domain tracking (including the limitations of web protocols and UTM strategies) Tagging and tracking strategies (e.g., when to use Segment → GA4 vs. GTM → GA4 for optimal efficiency) Ad pixel setup and utms deployment strategies

Travel:

We prioritize connection and opportunities to build relationships with our customers and each other. For this role, approximately 15% travel is anticipated to help you connect in-person in a meaningful way.

What We Offer:

Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.

Compensation:

*Please note this role is open to candidates outside of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State. The information below is provided for candidates hired in those locations only. The estimated pay ranges for this role are as follows:

Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $106,320 - $132,900. Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $112,560 - $140,700. Based in the San Francisco Bay area, California: $125,040 - $156,300.

This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.

Application deadline information:

Applications for this role are intended to be accepted until April 30, 2026, but may change based on business needs.

Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values , something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions.

Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

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Our Data Science and Analytics team seeks to empower R&D to make data-backed decisions that accelerate innovation and improve product performance. You will work closely within our team and across Product & Engineering to design and maintain a robust analytics data layer that enables trusted reporting on R&D metrics.

In this role, you'll:

• Design and implement a formal analytics data layer using AWS Glue, Presto, and LookML
• Collaborate within the Data Science & Analytics team and across Product & Engineering to define, document, and maintain alignment on metric definition and data lineage
• Develop and maintain automated data reconciliation and quality checks to proactively identify and resolve discrepancies, ensuring accuracy and consistency of critical reports and dashboards
• Lead investigations into complex data anomalies, conduct root cause analysis, and communicate findings and solutions effectively to both technical and non-technical audiences
• Mentor and guide members of the data science and analytics team, establishing and enforcing best practices around data modeling, testing, documentation, and code review

Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply.

If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!

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In this role, you will drive the entire sales process from prospecting to deal closure, including launch. You will run highly consultative sales cycles with a focus on deep discovery, understanding the customer's business, listening to their needs, and being an effective champion for their point of view in the organization.

You will understand the customer's technical requirements and map them to the capabilities of Twilio's communications API platform so that together you can design a solution for their specific use case needs. You will effectively communicate with all levels of the customer organization, including developers, managers, and executives.

Our customers are often software engineers, application owners, product managers, line of business executives, VP's of innovation, omni-channel and digital strategy stakeholders.

You will serve on a cross-functional account team with representatives from product, finance, partners, support, and services teams. You will run a disciplined forecast, consistently achieve goals, and present guidance to executive management.

Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply.

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The Finance team is a strategic engine at Brex, leading planning, forecasting, capital allocation, and ROI analysis. We partner across teams to drive clarity and unlock opportunity. If you want to influence company direction and think long-term about value creation, this is where your ownership starts.

As the Finance Manager, Commissions, you will be crucial in driving our company's success by ensuring accurate and effective commission structures and payouts for our sales and revenue teams. Your work will directly impact our salesforce motivation and productivity, helping us achieve our growth targets.

Responsibilities: Assists in designing and modeling commission and sales incentive plans. Owns the Captivate IQ strategy, implementation, and reporting of commission/incentive processing policies and procedures. Ensures commission and sales incentive payments have been properly processed. Prepares monthly commission and sales incentive payment summary reports for Executive leadership with trend analysis and forecast projections. Analyzes sales performance data to provide insights and recommendations to senior leadership on commission-related decisions. Acts as a liaison within Finance, fostering alignment with the Sales, Revenue, and Operations teams to ensure commission accuracy and effectiveness. Continuously improves and streamlines commission processes to enhance efficiency and transparency. Responds to escalated calls regarding complex commission or sales incentive-related processing problems.

Requirements: BA/BS degree, preferably in Business, Finance, or Accounting. 4+ years of relevant finance, commissions, revenue operations, or sales operations experience. Experience with implementing and maintaining Captivate IQ. Proven track record of leading a team in a distributed work environment. Exceptional communication and interpersonal skills with proven success partnering and collaborating across various functions. Experience retrieving and handling large amounts of data in Excel or other database systems. Highly self-motivated and stellar work ethic with strong attention to detail.

Nice to Have: Advanced analytical skills and significant knowledge and understanding of US GAAP. Experience working in a SaaS company or other recurring revenue model business. Experience with Salesforce, Looker, and Hex Compensation.

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At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

Role Summary

As a Solution Operations, you will serve as a strategic business partner to our Solution team. This team, composed of AI Deployment Strategists, Infrastructure Solution Architects, and Applied AI Engineers, designs, deploys, and optimizes AI solutions that directly solve our enterprise customers' most complex challenges.

Responsibilities

Worldwide Strategic Staffing & Capacity Planning - across all geographies

• Develop and execute a forward-looking staffing strategy aligned with business forecasts, including resource allocation, staffing ratios across regions, and technical deployment metrics.

• Build and maintain a prioritization framework for recruitment (role type, geography) to ensure the Solutions team is staffed for high-impact customer engagements.

• Accelerate time-to-value by minimizing time-to-staff through efficient matching systems between skills and customer requirements.

Data-Driven Staffing Optimization

• Identify and operationalize key metrics to measure staffing efficiency, team utilization, and impact on customer success and revenue.

• Create and maintain reporting mechanisms to track staffing KPIs, including time-to-staff, skill gaps, and deployment success rates.

• Synthesize and implement actionable recommendations to improve staffing processes and cross-functional alignment.

Scalable Staffing Systems & Automation

• Design and implement scalable processes, automations, and tools to streamline talent deployment and reduce operational friction.

• Optimize the Mistraler lifecycle (onboarding to project allocation) by ensuring seamless transitions and maximizing team productivity.

• Identify and eliminate bottlenecks in staffing workflows, leveraging automation to enhance agility and responsiveness to customer needs.

Cross-Functional Collaboration

• Partner with Sales, Product, Revenue Operations, Talent Acquisition and HR to align staffing capabilities with customer demands and business priorities.

• Support the development of the Solution team offerings and technical engagement models that maximize customer success.

• Collaborate with Product teams to ensure Solutions team feedback is integrated into the product roadmap.

Prepare materials for executive reviews, highlighting staffing successes, challenges, and strategic recommendations.

About you

• 3+ years of experience in strategic operations, staffing, chief of staff or resource management within technical sales, solutions engineering, or professional services environments.

• Proven track record in optimizing processes, impacting business KPIs, and aligning resources with business priorities.

• Experience in staffing, resource management, or talent deployment is a strong plus.

• Strong analytical skills, with experience in Salesforce, data warehouses, and BI tools (e.g., Looker, Hex, BigQuery).

• Exceptional negotiation and diplomacy skills: ability to navigate complex stakeholder dynamics and align competing priorities.

• Hands-on, execution-focused mindset with a bias for action in ambiguous, fast-changing environments.

• Technical acumen: understanding of AI implementation, use cases, and scaling challenges is a strong plus.

• Bachelor’s degree required; MBA or advanced degree preferred.

• Fluency in English (native level); additional European languages are a plus.

Benefits

France

• Competitive cash salary and equity

• Daily lunch vouchers: Swile meal vouchers with 10,83€ per worked day, incl 60% offered by company

• Sport: Enjoy discounted access to gyms and fitness studios through our Wellpass partnership

• Transportation: Monthly contribution to a mobility pass via Betterway

• Health: Full health insurance for you and your family

• Parental: Generous parental leave policy

• Visa sponsorship

• Coaching: we offer BetterUp coaching on a voluntary basis

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This role will own the development of dashboards, analytics, and reporting that provide visibility into workforce trends and inform hiring, retention, engagement, and organisational planning strategies.

While the role maintains ownership of People systems and data integrity, its primary focus is generating insights that enable better business decisions.

Responsibilities:

• Develop, analyse, and interpret workforce data to identify trends, risks, and opportunities across recruiting, retention, performance, and engagement.
• Conduct deep-dive analyses (attrition trends, hiring funnel performance, compensation insights, engagement drivers).
• Build statistical and trend analyses across the employee lifecycle to proactively surface insights that influence People and business decisions.
• Deliver actionable quarterly reporting that translates complex datasets into clear, executive-ready insights and recommendations.
• Design, build, and maintain scalable and automated dashboards.
• Establish consistent KPI definitions and reporting standards.
• Improve data visualisation practices to ensure clarity, usability, and impact.
• Replace manual reporting processes with automated, real-time reporting solutions.
• Ensure high levels of data accuracy, integrity, and trust.
• Serve as primary People data and HRIS reporting expert.
• Partner with IT and vendors to implement and manage integrations, evaluate new features, and identify opportunities to automate data workflows.
• Manage data governance standards to ensure compliance and data privacy best practices.
• Identify process improvements that enhance efficiency, data structure and accessibility.
• Enable tier-zero employee and manager self-service for policies, processes, and data through systems and chatbots, reducing reliance on People team members and ticket systems.
• Champion system education to drive employee and manager self-service adoption and data and systems utilisation.
• Drive AI initiatives such as deploying LLMs for job descriptions and ML to forecast attrition, ensuring tools are trained and continuously refined to be fit-for-purpose and remain within ethical and legal guardrails.

Requirements:

• Bachelor's degree in Statistics, Data Science, Business Analytics, HR, Economics, or related field.
• 5–7 years of experience in People Analytics, Workforce Analytics, HRIS Analytics, or related analytical roles.
• Prior experience modifying, improving and/or implementing People systems (Greenhouse, Paylocity a bonus).
• Advanced proficiency in data visualisation tools (Tableau, Power BI, Looker, or similar).
• Strong experience building executive dashboards from the ground up.
• Knowledge of data, statistical, and predictive analysis.
• Advanced Excel/Google Sheets skills.
• Experience working with large, complex datasets.
• Demonstrated ability to translate data into clear business insights and recommendations.
• Strong understanding of core People processes (recruiting, compensation, performance, engagement, workforce planning).
• Excellent verbal and written communication skills.
• Strong analytical and problem-solving skills.
• Passion for driving continuous improvement simplifying workflows, implementing automation, and driving self-service.
• Demonstrated interest in leveraging AI to enhance systems and analytics.

Nice to haves:

• Experience in a high-growth biotech or startup environment, with exposure to IPO preparation, public company reporting requirements, or SOX-compliant processes.
• Familiarity with Greenhouse, Paylocity, or other HRIS/ATS platforms.
• Exposure to predictive analytics or basic modelling techniques.
• SHRM-CP or SHRM-SCP certification.

Benefits and additional information:

The US target range of our base salary for new hires is $120,275 - $170,100. You will also be eligible to receive equity, cash bonuses, and a full range of medical, financial, and other benefits depending on the position offered.

Please note that individual total compensation for this position will be determined at the Company’s sole discretion and may vary based on several factors, including but not limited to, location, skill level, years and depth of relevant experience, and education.

We invite you to check out our career page @ freenome.com/job-openings/ for additional company information.

Freenome is proud to be an equal-opportunity employer, and we value diversity. Freenome does not discriminate on the basis of race, colour, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

Applicants have rights under Federal Employment Laws.

Family & Medical Leave Act (FMLA)

Equal Employment Opportunity (EEO)

Employee Polygraph Protection Act (EPPA)

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Responsibilities:

• Collaborate closely with other teams (Sales, Finance, Product, Marketing, and more) to translate problems and needs into action-oriented data solutions
• Design, build, and maintain data pipelines for reliable ingestion and transformation
• Rapidly prototype and iterate using AI coding tools to accelerate development and reduce toil
• Drive rigor and best practices, with a focus on data quality, consistency, and transparency
• Develop and deploy statistical models and machine learning, where appropriate
• Build clear, decision-oriented visualizations and dashboards for stakeholders across multiple departments
• Own selected production data systems: selection, orchestration, monitoring, and tuning
• Communicate and shepherd key data results and analysis to executives

Requirements:

• Experience with B2B SaaS-relevant data, including Salesforce and financial metrics
• Strong communication skills and ability to work effectively across multiple departments and stakeholder groups
• Ownership mindset and ability to deliver end-to-end outcomes independently; must be a "startup type"
• Demonstrated ability to design data pipelines and work with imperfect, evolving data sources
• Sharp attention to data quality, including validation, anomaly detection, and root-cause analysis of inconsistencies
• Strong proficiency in Python and SQL; experience with modern data stack tools (e.g., dbt, Airflow, Spark, or equivalents, a plus)
• Experience with data visualization tools (e.g., Tableau, Looker, or similar)
• Some familiarity with infrastructure and related setup (databases, data warehouses, VMs)
• Knowledge of core machine learning concepts and when to apply them pragmatically

Initial Projects:

• Build a likelihood-of-close model for Salesforce opportunities, which factors in relevant metadata and history
• Create a framework and initial implementation for an executive operational dashboard, working with a broad set of teams
• Define, validate, and implement key SaaS product-usage metrics

As we grow, you will, too, with the broad scope of a software startup.

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You'll sit at the intersection of engineering, product, and GTM. Your scrappy prototypes, experiments, and content will be the first touchpoint for new creators, studios, and Fortune 500 innovation teams. When you do your job well, the rest of the company feels it in tomorrow's dashboards.

Responsibilities:

• Spin up lightweight client libraries, demo apps, or event microsites in a few hours.
• Run data-driven experiments. Segment cohorts, design A/B tests, and automate reporting. We have a clear, metric-based view of acquisition cost and activation rate for every segment.
• Draft compelling blog posts, tweets, and teardown threads (zero “AI slop”).
• Our content consistently drives qualified sign-ups and sparks industry conversations.
• Own customer touchpoints: Meet prospects, debug their first calls, and represent fal at meetups and hackathons. Prospects leave every interaction saying, “These folks get it,and ship fast.”
• Identify high-leverage problems, time-box solutions, and ship. After ramp-up, you propose your own roadmap,and we mostly just say “Yes.”

Nice to have:

• Prior experience in PLG or developer-tool startups
• Familiarity with growth analytics stacks
• A portfolio of technical writing, open-source libs, or side projects

Compensation:

$170,000 - $220,000 + equity + comprehensive benefits package

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We believe the future of law will be built by 'AI-Native Law Firms' , firms that are managed, scaled, and optimized by intelligent systems rather than manual processes and endless administrative work.

Our technology augments the capabilities of attorneys across every stage of a case , from intake and document review to strategy and settlement , so they can focus on what truly matters: achieving the best outcomes for their clients.

Why Join Eve:

Product-market fit: Eve is used by over 550+ law firms, and we're growing fast. Backed by top investors: We've raised over $160M from world-class partners including Spark Capital, Andreessen Horowitz(A16z), Menlo Ventures, and Lightspeed. Built by a world-class team: Engineers, designers, and operators from places like Scale, Meta, Airbnb, Cruise, Square, Rubrik, and Lyft are building Eve from the ground up. AI-Native from day one: We're on the bleeding edge of AI, collaborating directly with teams at OpenAI and Anthropic to build best-in-class AI workflows tailored for legal work. Explosive growth: We are growing 2X revenue Quarter over Quarter.

Why This Role:

You'll build the data, process, and tooling layer for Eve's Customer Success organization. We have 900+ accounts, a growing renewal book, and a CS team that's scaling fast. Health scores need to be rebuilt. Renewal forecasting needs to be trusted by Finance. Playbooks exist in theory but aren't operationalized. The data is there (Snowflake, product telemetry, CRM), but it's not connected to the workflows that CSMs run every day. This is not a reporting role. You'll spend most of your time designing systems: building the health score methodology that predicts churn, operationalizing playbooks, and standing up renewal forecasting that leadership and Finance trust. The rest of your time goes to capacity planning, territory design, and partnering with RevOps and Finance to make sure CS metrics are calculated consistently across the business.

What You'll Accomplish:

• Own CS analytics end-to-end: health scoring methodology, renewal forecasting, portfolio segmentation, and the dashboards that leadership and Finance rely on for decision-making
• Design and operationalize playbooks that drive customer outcomes: onboarding workflows, risk intervention sequences, expansion motions, renewal execution
• Use AI tools as part of your daily workflow: automating data pulls, building smarter alerting, finding patterns that manual analysis would miss
• Build and maintain the CS tech stack. Clean data, working automations, tooling the team relies on.

Partner with GTM Systems on shared infrastructure across the revenue stack

• Deliver capacity planning, territory design, and comp modeling that keeps pace with a growing team and portfolio
• Identify patterns across the portfolio: what's driving churn and where onboarding stalls. Turn those into specific actions for CSMs and leadership
• Partner with RevOps and Finance to make sure CS metrics (GRR, NRR, renewal forecasts) are calculated consistently, trusted across the business, and ready for executive reporting

What We Are Looking For:

• 5-8+ years in CS Operations, Revenue Operations, or Business Operations at a B2B SaaS company, with at least 2 years focused on Customer Success
• Hands-on experience building health scores, renewal forecasting models, and portfolio segmentation frameworks
• Strong SQL skills and comfort working directly with data warehouses
• Experience implementing and administering CS platforms, including configuration, workflow design, and driving adoption across a team
• Track record of designing processes that CSMs actually follow
• Ability to translate data into narrative for leadership: what's happening, why it matters, what to do about it
• Comfortable using AI tools (Claude, ChatGPT, Copilot) for analysis, automation, and workflow design

You'll Thrive in This Role If You Have:

• Experience with consumption-based or usage-based pricing models
• Background in legal technology or professional services SaaS
• Familiarity with AI/ML products and the adoption challenges they create
• Experience with CS platforms like Gainsight, Vitally, ChurnZero, or Totango
• Experience with Salesforce or HubSpot CRM administration and reporting.
• Familiarity with Snowflake, Looker, or similar BI/warehouse tools
• Background scaling CS operations at a company growing to $100M+ in ARR

Additional Information

Benefits:

Competitive Salary & Equity 401(k) Program with Employer Matching Health, Dental, Vision and Life Insurance Short Term and Long Term Disability Commuter Benefits Autonomous Work Environment Office Setup Reimbursement Flexible Time Off (FTO) + Holidays Quarterly Team Gatherings In office Perks

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The ideal candidate will combine creative experimentation with deep analytical rigor, building the systems, team, and processes that scale Cresta’s growth engine.

Responsibilities:

• Design, unify, and execute the end-to-end growth strategy from awareness through activation across web, paid media, automation, content, and product-led initiatives to drive qualified pipeline and revenue
• Lead and optimize performance marketing with a focus on efficiency, scalability, and ROI
• Oversee website strategy and conversion rate optimization, ensuring the site serves as a high-converting demand engine and brand experience
• Develop and scale SEO/AEO and content performance initiatives to expand reach and drive high-intent organic traffic
• Implement a robust experimentation framework for A/B testing and new channel evaluation
• Collaborate cross-functionally with Product, Product Marketing, RevOps, and Sales to ensure channel strategies align with audience segments and pipeline goals
• Own marketing analytics and attribution for digital channels, delivering clear insights on performance and impact
• Manage agency and vendor relationships to ensure alignment and quality
• Build, mentor, and grow a high-performing team
• Partner with RevOps to evaluate, implement, and optimize the growth marketing tech stack, driving better data visibility, automation, and performance measurement

Qualifications:

• Bachelor’s degree in Marketing, Business or related field; MBA or advanced degree a plus
• 7+ years of progressive experience in B2B SaaS marketing, including at least 3 years in a growth leadership role
• Proven track record of owning pipeline and revenue targets and delivering measurable business impact through digital channels
• Deep expertise in paid acquisition, SEO, website optimization, and analytics; strong understanding of full-funnel marketing
• Experience working with enterprise buyer journeys and ABM motions
• Proficiency with tools like Google Ads, LinkedIn Ads, GA4, HubSpot, Salesforce, Clay n8n, SEMrush, and dashboarding tools such as Looker or Tableau
• Deep analytical expertise, data-driven mindset, and strong understanding of data architecture and system interconnectivity
• Collaborative, growth-oriented leader with experience managing internal teams and agencies

Preferred Qualifications:

• Proven success leading marketing initiatives across multiple countries or regions
• Industry-specific campaign expertise

Perks & Benefits:

• Comprehensive medical, dental, and vision coverage with plans to fit you and your family
• Flexible PTO to take the time you need, when you need it
• Paid parental leave for all new parents welcoming a new child
• Retirement savings plan to help you plan for the future
• Remote work setup budget to help you create a productive home office
• Monthly wellness and communication stipend to keep you connected and balanced
• In-office meal program and commuter benefits provided for onsite employees

Compensation at Cresta:

• Cresta’s approach to compensation is simple: recognize impact, reward excellence, and invest in our people. We offer competitive, location-based pay that reflects the market and what each individual brings to the table.

Compensation for this position includes a Base Salary + Bonus + Equity.

Base Salary Range: $200,000- $240,000

Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable. Your recruiter can provide further details. In addition, total compensation includes a comprehensive benefits package for you and your family.

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As a Financial Data Analyst, you will be responsible for pulling, analysing, and structuring financial data from various sources to generate actionable insights. Over time, this role will evolve from report generation to building automation and integrations between Belong's management system and accounting system.

This role is ideal for someone who loves working with data, has a strong analytical mindset, and enjoys solving problems through data engineering and automation. You don't just pull reports,you understand the story behind the numbers and can translate raw data into meaningful business insights.

In this role, you will:

• Extract and consolidate financial data from sources like BigQuery, RDS, Excel, Google Sheets, and other internal systems.
• Build actionable reports and dashboards in Looker, Metabase, Google Sheets, and Excel.
• Develop and maintain SQL queries to efficiently retrieve financial data.
• Analyse financial metrics, including revenue categorisation, cohort analysis, and gross profit calculations.
• Identify trends, anomalies, and insights to support strategic decision-making.
• Automate data retrieval processes and reporting workflows over time.
• Build and improve integrations between Belong's management and accounting systems.
• Partner with Finance & Accounting to enhance financial reporting and reconciliation processes.
• Provide ad hoc financial analysis and data support for forecasting and planning.

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This role supports data integrity, metadata, and access controls to help ensure data is accurate, consistent, and fit for purpose. This is a hands-on role that requires strong technical fluency, structured problem-solving, and the ability to translate governance requirements into practical implementations within data systems.

Technical Skills:

• Working knowledge of data governance, data management, and data quality frameworks
• Experience supporting the implementation of data controls within data pipelines and reporting systems
• Advanced proficiency in SQL, Python, or other data query and analysis tools
• Proficiency with business intelligence and data visualization tools such as Looker, Power BI, or Tableau
• Experience with database design, including understanding complex data schemas and data extraction
• Familiarity with data lineage, metadata management, and data modeling concepts
• Ability to define and implement data quality rules and validation checks
• Understanding of data access principles, including role-based access and data classification
• Ability to document data processes and controls clearly and in a structured way

Complexity and Impact of Work:

• Oversee the data governance program, identify improvement areas, and implement best practices to enhance data quality, integrity, and security
• Develop and implement data quality standards and monitoring processes, including establishing data quality metrics and thresholds
• Assist in managing the data issue lifecycle, including tracking and supporting remediation efforts
• Manage the data governance platform (Atlan) and serve as the primary subject matter expert
• Assist in data classification efforts, including identifying and categorizing sensitive data and critical data elements
• Manage external data requests, including regulatory inquiries, ensuring compliance with banking regulations
• Monitor and report on key data governance metrics and KPIs, providing insights and recommendations to senior management
• Lead data governance meetings and workshops, facilitating discussions and decision-making to drive the data governance program forward

Organizational Knowledge:

• Have a deep understanding of Anchorage Digital’s strategy and business lines.
• Understand how data supports decision-making and operational processes across the organization
• Possess strategic thinking and vision, with the ability to develop and implement a comprehensive data governance strategy aligned with organizational goals and objectives

Communication and Influence:

• Able to communicate complex issues clearly and credibly to a wide range of audiences.
• Document data processes, controls, and findings clearly for internal stakeholders
• Build effective relationships and rapport with stakeholders, including cross-functional and external partners
• Communicate, organize, and execute cross-team goals and projects, leveraging relationships and resources to solve problems
• Collaborate with Data Platform, InfoSec, Product, and Engineering partners

You may be a fit for this role if you have:

• Bachelor’s degree required. Advanced degrees or certifications in data analytics or governance preferred
• 4–7 years of experience in data governance, data management, data quality, or data analytics
• Hands-on experience implementing or supporting data quality and governance practices
• Experience managing data classification, access controls, and external data requests
• Experience working with data pipelines, reporting systems, or analytical datasets
• Experience writing, editing, or reviewing technical documentation for regulatory or banking contexts
• Strong attention to detail, with a focus on accuracy, completeness, and consistency in data governance processes and controls
• Ability to work independently on defined tasks and contribute to team objectives
• Strong problem-solving skills and comfort working in structured, detail-oriented environments

Although not a requirement, bonus points if:

• You've kept up to date with the proliferation of blockchain and crypto innovations.
• You were emotionally moved by the soundtrack to Hamilton, which chronicles the founding of a new financial system. :)

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As the #1 podcast platform in the world, we look to continue improving and scaling the experience of podcasts on Spotify. We build and maintain products like Spotify for Podcasters, Megaphone, and Chartable, and are always eager to provide creators with easy ways to increase their audiences on Spotify and give them new innovative means for monetization.

Responsibilities

Build and grow Spotify’s video podcast ecosystem in Korea by identifying, onboarding, and developing high-potential creators and media partners Act as a trusted partner across both independent creators and established media companies, clearly articulating Spotify’s platform value and growth opportunities Develop a strong understanding of the Korean creator and media landscape to inform acquisition and partnership strategy Lead on-platform growth initiatives, managing editorial surfaces and optimizing content placement to connect the right content with the right audiences Plan and execute 360-degree promotional campaigns for key video podcast launches and tentpole cultural moments Collaborate cross-functionally with Marketing, PR, and global Creator Partnerships teams to ensure local initiatives align with broader business goals Use data and insights to inform strategy, track performance, and continuously refine how we support creator & media partners growth

Who You Are

You understand both independent creator dynamics and structured media organization workflows, and know how to navigate each effectively You know how to identify high-potential creators and build meaningful, trust-based partnerships that drive long-term growth You are experienced in business development and product advocacy, with a track record of designing and managing scalable programs You have strong analytical skills and are comfortable using tools like Tableau or Looker to translate complex data into actionable insights You are highly organized and can manage editorial calendars, campaign workflows, and multiple creator relationships with minimal supervision You communicate fluently in Korean and English (written and verbal), and can confidently bridge local partners with global stakeholders You care deeply about creator culture and are excited about shaping the future of video podcasts in Korea

Where You'll Be

This role is based in Seoul, Korea 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

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You will build sophisticated dashboards, develop predictive models, and serve as the technical backbone for our FP&A and GTM analytics initiatives. This is a unique opportunity for a data professional with financial acumen to directly influence strategic business decisions in a high-growth fintech environment.

Financial Data Analytics & Modeling

• Design, build, and maintain financial dashboards for FP&A, Revenue Operations, and GTM teams using Tableau, Power BI, or Looker
• Develop automated financial reporting solutions that reduce manual effort and improve data accuracy
• Create sophisticated data models to support budgeting, forecasting, variance analysis, and scenario planning
• Build predictive models for revenue forecasting, customer lifetime value, churn analysis, and unit economics

Business Intelligence & Reporting

• Partner with Finance Business Partners and FP&A teams to translate business requirements into technical solutions
• Design and implement data infrastructure for financial planning cycles (monthly/quarterly reviews, annual budgets, long-range planning)
• Develop self-service analytics capabilities enabling finance teams to access real-time business insights
• Create executive dashboards tracking key financial and operational metrics (ARR, bookings, retention, CAC, LTV)

Data Engineering & Analytics Infrastructure

• Write complex SQL queries to extract, transform, and analyze large datasets from multiple source systems
• Build ETL pipelines to integrate financial data from ERP, CRM, billing, and data warehouse systems
• Ensure data quality, consistency, and governance across financial reporting systems
• Optimize database performance and data architecture for scalability

Strategic Analysis & Insights

• Conduct deep-dive analyses on business performance, identifying trends, anomalies, and opportunities
• Support strategic initiatives through ad-hoc financial modeling and what-if scenario analysis
• Translate complex data findings into clear, actionable recommendations for leadership
• Collaborate with Data Science teams to develop advanced analytics and ML models for finance use cases

Required Qualifications

• Advanced SQL proficiency (complex joins, window functions, CTEs, query optimization)
• Expert-level experience with at least one BI tool (Tableau, Power BI, Looker, or Qlik)
• Advanced Excel/Google Sheets skills (pivot tables, complex formulas, data modeling)
• Python or R for data analysis, automation, and statistical modeling
• Cloud data platforms (Snowflake, BigQuery, Redshift, Databricks)
• ETL tools (dbt, Airflow, Fivetran) and version control (Git)

Financial & Business Acumen

• Experience in data analytics within finance, FP&A, or revenue operations functions
• Strong understanding of financial statements (P&L, balance sheet, cash flow)
• Knowledge of key financial metrics: ARR, MRR, bookings, revenue recognition, CAC, LTV, gross margin, EBITDA
• Experience with financial planning processes: budgeting, forecasting, variance analysis, scenario modeling
• Understanding of SaaS/subscription business models and revenue recognition principles (ASC 606 preferred)

Analytical & Problem-Solving

• Proven ability to work with large, complex datasets and derive meaningful insights
• Experience building financial models and dashboards that drive executive decision-making
• Strong statistical analysis skills and understanding of data visualization best practices
• Track record of translating ambiguous business problems into structured analytical frameworks

Preferred Experience

• Background in fintech, payments, B2B SaaS, or high-growth technology companies
• Experience supporting GTM analytics (sales forecasting, pipeline analysis, quota setting)
• Familiarity with finance systems: NetSuite, Anaplan, Adaptive Planning, Salesforce, Stripe Billing
• Exposure to data science methodologies and machine learning concepts
• Previous work in cross-functional environments collaborating with finance, data science, and business teams

Key Competencies

• Business Acumen: Ability to understand complex business models and translate them into data requirements
• Technical Excellence: Deep technical skills with commitment to code quality and best practices
• Communication: Exceptional ability to explain technical concepts to non-technical stakeholders
• Stakeholder Management: Experience partnering with senior leaders and influencing through data
• Ownership Mindset: Self-directed with ability to manage multiple priorities and drive projects to completion
• Continuous Learning: Curiosity to learn new tools, techniques, and business domains
• Attention to Detail: Commitment to data accuracy and quality in high-stakes financial reporting

Education

• Bachelor's degree in Finance, Economics, Statistics, Mathematics, Computer Science, Engineering, or related quantitative field
• Advanced degree (MBA, MS in Analytics/Data Science) or relevant certifications (CFA, CPA, data analytics certifications) a plus

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Maintain consistent and clear documentation and communicate with business stakeholders (both technical and non-technical).

Collaborate with the wider data team to help meet the business goals, including peer reviews.

Take ownership of a project end-to-end and manage priorities accordingly.

Our ideal candidate will have strong experience with SQL, experience working within the credit domain, and be a self-starter with the ability to think outside the box.

They will also have good attention to detail, strong experience with Looker or a similar visualisation tool, and strong communication and documentation skills for both technical and non-technical audiences.

As a member of our team, you will have the opportunity to work on a wide range of projects and contribute to the development of our data capabilities.

We offer a competitive salary and benefits package, including 25 days holiday, an extra day's holiday for your birthday, and annual leave increased with length of service.

We are an equal opportunities employer and welcome applications from all qualified candidates.

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The main purpose of the Communications Data & Insights role is to be responsible for the gathering, organising and analysing data from all relevant internal and external data sources to enable the marcomms department to make data-driven decisions resulting in improved performance and impact.

As Communications Insights & Measurements Analyst, you will analyse, build and implement a range of insight, research tools and activities to ensure that the team and wider organisation has the knowledge it needs to put our priority audiences at the heart of everything we do.

The role is very hands-on, and will require a can-do attitude and confidence to take on new challenges. It is a great opportunity for someone who would like to grow their responsibilities and have various research programmes/projects, and a broad scope of work.

You will be working on a variety of small to large-scale projects. This will include using a suite of media monitoring and social listening tools, tracking information, analytics tools, creating dashboards, reports, and other useful resources for the team, to support in guiding our marcomms strategy and helping the team deliver impact.

Key Responsibilities:

• Analyse marcomms channel metrics, including website and social media stats and benchmarks, media mentions and headlines, and executive social media and media engagements.
• Update, maintain and develop team self-serve dashboards to support issue identification and decision making.
• Monitor and analyse the media landscape, including impact and engagement tracking of key voices.
• Social media monitoring and analysis for key moments and launches.
• Support with monthly team performance and channel reports and learnings, with actionable insights and tailored overviews and presentations with team members and stakeholders.
• Support with Internal Communications measurements, including channel and impact analysis, metrics and KPIs, and audience segmentation.
• Analyse and measure Executive Communications, Engagements and Social Media, including channel, audience and impact analysis.
• Analyse website user behaviour, and user journeys through from the Google DeepMind site to various sites, platforms and tools - identifying trends and pain points which can then be improved to deliver a best customer experience across all digital touchpoints.
• Support with delivering reports following Google DeepMind launches and competitor moments to help stakeholders understand external reactions, impact and sentiment, vs prev launches and competitor moments.
• Support with analysis of competitor moments, including key details and external reactions.
• Support with maintenance of team Insight repository.
• Recommend and Implement new performance measures and metrics for short-term and long-term communications efforts, and coordinate the reporting and analysis work across the marketing and communications organisation.
• Maintain and update our channel benchmarks (overall and per strategy area) to ensure the team can accurately compare campaigns and moments.
• Partner and work with external and internal stakeholders to collaborate, share learnings and implement best measurement practices.

About You:

• To set you up for success as a Communications Data and Insights Manager at Google DeepMind, we look for the following skills and experience:

• Proven experience working in a similar Communications or Marketing Data, Insight analytics type role.

• Experience using AI tools to support with work efficiencies and optimisation - including building out custom prompts, Gemini Gems, Notebooks and other AI support tools and agents.

• Strategic, analytical, and have strong communication skills, as well as being able to relay technical information/data/results.

• Extensive experience working with Google Analytics, Brandwatch (social listening), Google Search Console, YouTube Analytics, Looker Studio for reporting / dashboarding etc.

• Experience working with PR/Comms Reporting tools such as NewsWhip.

• Strong numerical and analytical skills are crucial.

• Able to combine and interpret high volumes of data from multiple sources.

• Able to synthesise information from a variety of sources, add insightful commentary and translate data / trends into practical recommendations and stories to improve performance.

• Strong writing and storytelling skills are crucial, prior experience in marketing is useful.

• Excellent spoken, written and visual communications skills, including the ability to visualise data in simple, concise, clear and impactful ways.

• Strong project management skills and experience in creating insight dashboards (if not the experience, the potential to learn quickly).

• Commitment to learning about new insight tools.

• Confidence to work and collaborate with a range of stakeholders.

• Hands-on social listening experience, audience analysis or data/statistical analysis, preferably with exposure to audience insights and social media research.

• You work well both independently and as a part of team.

• Strong ability to manage yourself and time, working effectively across multiple priorities.

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We are looking for a Senior Digital Media Consultant to join our London-based consulting team. As a Senior Digital Media Consultant, you will play a key role in delivering data-led projects to multiple big brand clients across industries such as luxury, automotive, retail and beauty.

You will work as part of a small, collaborative team and contribute to promoting a customer-centric vision of digital marketing, based on the systematic and methodical use of data to support decisions.

Responsibilities

Within your first year at Fifty-Five, you will be responsible for the following:

• Delivering high quality outcomes for a variety of projects in the Ad Tech and Web Analytics space, working in a client-facing position, supported by a team of technical specialists

• Meeting client requirements within the agreed deadlines, keeping track of the required tasks for each project and liaising with the relevant owners internally and externally; foreseeing and escalating issues / risks as appropriate

• Developing a sharp, operational expertise about web analytics and media-buy topics

• Occasional travel possible, within the UK or abroad

Relevant Experience

• Educated to degree level

• 3+ years experience in activation of marketing campaigns (Paid Search/ Programmatic Display/ Paid Social) across both Brand and Performance strategies

• Hands on experience working directly with various advertising technologies (DV360, Google Ads, Campaign Manager, Search Ads 360, Meta Ads Manager etc)

• Experience working with clients across multiple markets and/or brands is preferable

• Knowledge and track record of creating/ deploying cross-channel strategies, activating media tests and audience-led marketing programmes

• Preferably leveraging Google analytics for advanced reporting and working knowledge of media measurement (Attribution, MMM, Incrementality)

• Knowledge of dashboarding solutions (e.g. Power BI, Looker, Tableau)

• Proven track record of working within cross-functional / cross-platform digital projects with large groups of stakeholders and project team members

• Analytical mindset, keen to apply data to challenges

• Detail oriented, proactive and self-motivated, good organisation is paramount

• Curious and eager to learn, able to challenge and recommend solutions to problems

• Flexible, versatile and works well under pressure

• Collaborative, works well in a team, understands that the sum of our parts is better than the individual

• Strong interest in new marketing technologies & the digital industry

• Interest in working in a small, growing team

• Have the right to work in UK

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In return, we offer a range of benefits, including being part of a multicultural, dynamic and fast-growing team, continuous training on the digital ecosystem and technologies, phone allowance, private medical coverage, transport for London travel card allowance, the flexibility to work remotely for part of the week, 25 days holiday per year, company pension plan, company-sponsored sporting and social activities, and cyclescheme.

If you are a detail-oriented, proactive and self-motivated individual with a keen analytical mindset and a strong interest in new marketing technologies and the digital industry, please get in touch! We look forward to meeting you.

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We are evolving our BI capability through a strategic partnering approach, designed to integrate data expertise within our main divisions. As the BI Manager (Commercial), you will be the technical lead and dedicated strategic partner to our Commercial Sales and Programmatic Advertising teams.

This is a hands-on role where you will architect and build the technical solutions that provide insights and help to monetise the massive global audience engagement across our brand portfolio. You will balance deep technical execution with the leadership of a team of analysts, ensuring that the 'Commercial Spoke' of our BI function is both technically excellent and commercially impactful.

Key Responsibilities

• Be a lead developer for the Commercial BI team. You will oversee the technical delivery of BI solutions, including writing complex SQL queries, managing data transformations in Dataform, and architecting data models in Looker.

• Collaborate with other teams within the Data & BI department, specifically Data Engineering and Analytics Engineering, to co-develop data products. You will influence upstream requirements and pipeline design to provide a unified, performant view of commercial performance.

• Be a primary technical advisor for the Commercial division. You will work with stakeholders to translate commercial questions into technical requirements.

• Develop and maintain high-value strategic data assets. You will integrate data from Order Management Systems (OMS) and Customer Relationship Management (CRM) systems with digital advertising data (Programmatic, Direct Sales) to create a unified view of commercial performance.

• Ensure excellence within the BigQuery and Looker stack. You will personally implement best practices for platform governance, scalability, and the use of latest technologies like conversational analytics.

Experience that will put you ahead of the curve

• You are an expert in SQL and have experience building production-grade data models within BigQuery, Dataform and Looker (or equivalent tools).

• Deep technical understanding of digital advertising data structures, including real-time bidding, private marketplaces (PMP), and first-party sales metrics. You understand how to turn audience engagement into commercial insight.

• Track record in a senior or lead BI role where you have remained hands-on with technical delivery while managing or mentoring others.

• The ability to translate complex business logic into efficient, scalable code. You value data observability and reliability as much as the final visualisation.

What's in it for you

The expected range for this role is up to £65,000.

This is a Hybrid role from our Bath Office, working three days from the office, two from home.

Benefits

• Uncapped leave, because we trust you to manage your workload and time

• When we hit our targets, enjoy a share of our profits with a bonus

• Refer a friend and get rewarded when they join Future

• Well-being support with access to our Colleague Assistant Programmes

• Opportunity to purchase shares in Future, with our Share Incentive Plan

Who are we...

We're Future, the global leader in specialist media. With over 3,000 employees working across 200+ media brands, Future is a prime destination for passionate people worldwide looking to consume trusted, expert content that educates and inspires action - both online and off - through our specialist websites, magazines, events, newsletters, podcasts and social spaces.

Our Future, Our Responsibility - Inclusion and Diversity at Future

We embrace and celebrate diversity, making it part of who we are.

Different perspectives spark ideas, fuel creativity, and push us to innovate. That's why we're building a workplace where everyone feels valued, respected, and empowered to thrive.

When it comes to hiring, we keep it fair and inclusive, welcoming talent from every walk of life. It's not just about what you bring to the table — it's about making sure the table has room for everyone.

Because a diverse team isn't just good for business. It's the Future.

Find out more about Our Future, Our Responsibility on our website.

Please let us know if you need any reasonable adjustments made so we can give you the best experience!

#LI-Hybrid

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We have an exciting opportunity to join Go.Compare's Performance Marketing team as a PPC Executive, working within our dedicated PPC team. This role is ideal for someone looking to grow their PPC career, supporting the delivery of impactful campaigns in a fast-paced environment while making a tangible impact on business performance.

Key Responsibilities:

• Support the delivery of PPC Account strategies, assisting with execution and day-to-day performance management to help meet targets and business objectives.
• Contribute to bid strategy optimisation, ensuring campaigns are set up and adjusted to drive results.
• Assist with planning and running A/B tests, helping to optimise account performance and share learnings.
• Work closely with stakeholders across the business, providing updates on account performance, competitor activity, and upcoming tests.
• Keep up to date with Paid Search developments, including new tools, trends, and AI innovations, and share relevant findings with the team.
• Help create and optimise PPC audience segments to improve targeting and campaign effectiveness.
• Support reporting by turning performance data into clear, useful insights that can be shared with commercial teams to aid decision-making.

Experience that will put you ahead of the curve:

• Hands on experience in PPC, with experience managing and optimising multiple accounts.
• Proven ability to contribute to ROI targets while supporting revenue and profit growth.
• Experience working on PPC projects in fast-paced environments, collaborating with both internal and external stakeholders.
• Solid experience with Google Ads and Microsoft Ads, with strong platform knowledge.
• Familiarity with A/B testing and key PPC metrics such as auction insights, quality score, ROI, and optimisation score.
• Ability to analyse data, identify trends, and make recommendations to improve performance.
• Google Ads and Microsoft Ads accredited.
• Proficiency in Google Sheets or Excel; Looker Studio, GA4, and SA360 experience is a bonus.

What's in it for you

The expected salary range for this role is £24,000 - £31,000. This is a Hybrid role from our Cardiff Office, working three days from the office, two from home. You will also receive a range of great perks, including uncapped leave, a share of profits with a bonus, and wellbeing support with access to our Colleague Assistant Programmes.

Who are we

We're Go.Compare, part of Future PLC. We pride ourselves on being a fun but fair place to work, with flexible hours and plenty of perks, thanks to the Future community teams' hard work making sure each team member is treated equally. We only collaborate with organisations we can rely on, so we've built up a huge network of trusted partners. We're also authorised and regulated by the Financial Conduct Authority.

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We are looking for a Data Analyst to join our analytics team supporting Quality Verification for some of EA’s largest titles. In this role, you’ll collaborate with engineers, game designers, and quality teams to improve game development and testing strategies through data.

Responsibilities

• Define and execute the data analytics roadmap for major EA titles
• Develop data products and dashboards that provide actionable insights for Quality Verification teams
• Build scripts and queries to import, transform, and analyze data from multiple sources
• Guide best practices in visualization tools and technologies to evolve project dashboards for monitoring and reporting
• Promote a data-driven culture and support data governance initiatives to improve organizational data maturity

Requirements

• 2+ years of experience in data analysis or applied analytics, using data to improve processes
• Proficiency in SQL for querying large datasets; experience with Python for data manipulation and automation
• Familiarity with visualization tools such as Looker and PowerBI
• Ability to design data models and warehousing solutions
• Strong organizational skills to plan and prioritize multiple concurrent projects
• Excellent collaboration and communication skills to foster relationships with partners

Benefits

We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more.

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Responsibilities:

• Define and implement an impact and integrated value measurement strategy for AI tools, outlining dependencies and requirements for partner teams across EA.
• Assess best practices for measuring the value of applied AI and AI for new ideas in gaming, share recommendations, and establish benchmarks for us.
• Develop an FY27 roadmap for impact and integrated value measurement, deploy proof-of-concept metrics, gather partner feedback, and iterate on the framework.
• Integrate data into dashboards and conduct monthly reporting with business units to highlight issues and recommend actions.
• Perform deep dives into data to produce compelling insights and use those insights to provide recommendations and proposals to stakeholders, enabling them to make informed decisions about the next steps for their AI product roadmaps.

Required Qualifications:

• 5+ years of experience in data analysis or applied analytics within gaming, mobile apps, or digital products.
• Experience using SQL to query large datasets and Python or R for analysis and modeling.
• Experience creating dashboards and reports with visualization tools such as Looker or PowerBI.
• Experience designing and iterating on integrated value measurement frameworks for AI tools, including gathering feedback and making recommendations to partners.

Pay is just one part of the overall compensation at EA. In Canada, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, and extended health/dental/vision coverage and basic life insurance.

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The Personalization team, within the Machine Learning Chapter and Engineering Department, plays a central role in implementing algorithms that utilize personalization signals to optimize for business KPIs like revenue & conversions.

You will work closely with engineers and product managers to define success, uncover insights, and influence roadmap decisions through data. Your work will help shape innovative user experiences that drive business KPIs, interpret user behavior, and drive product and algorithm improvements.

Challenges you will tackle

• Understand Shopper Behavior: Investigate how product changes affect user behavior and conversion metrics. Use SQL, Python, and Spark to uncover usage patterns, anomalies, and opportunities for optimization.
• Design & Validate Metrics: Define new metrics to measure personalization, and model performance. Ensure metrics align with user experience and business goals through rigorous validation.
• Build Analytics Infrastructure: Create scalable dashboards and reporting tools for product, engineering, and leadership teams. Develop debugging tools to explain ranking decisions and identify performance issues.
• Drive Data-Informed Decisions: Partner cross-functionally to design experiments, validate hypotheses, and communicate insights that directly influence product roadmap and ML strategy.

Requirements

• 3+ years analyzing complex experiments and extracting actionable insights from large, noisy datasets. Experience with statistical testing and practical experiment design.
• Write optimized SQL queries for terabyte-scale data extraction and transformation. Proficiency with distributed systems like Spark for large-scale data processing.
• Strong skills in exploratory analysis and building internal tools. Experience with data science libraries and automation.
• Understanding of ML pipelines, training data quality, and ranking/recommendation metrics. Familiarity with search relevance and personalization concepts.
• Design metrics that accurately reflect model and product performance. Ensure alignment between technical metrics and business outcomes.
• Create compelling dashboards using Tableau, Looker, or custom dashboards in Python. Present complex findings clearly to both technical and executive audiences.
• Influence product and engineering decisions through data storytelling. Collaborate effectively across teams to drive ML and product improvements.
• Deep curiosity about user behavior and business impact. Connect algorithm changes to real-world customer outcomes.

Benefits

• Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year
• Fully remote team - choose where you live
• Work from home stipend! We want you to have the resources you need to set up your home office
• Apple laptops provided for new employees
• Training and development budget for every employee, refreshed each year
• Maternity & Paternity leave for qualified employees
• Base salary: $80k–$120k USD, depending on knowledge, skills, experience, and interview results
• Stock options - offered in addition to the base salary
• Regular team offsites to connect and collaborate

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The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

The Finance Data team is embedded within the CFO Org and is responsible for building internal data products that scale analytics across business teams and drive efficiencies in our daily operations. This team provides technical guidance on high-impact, scalable projects across Finance, and is the subject-matter expert in financial and transactional data that supports our Finance day-to-day operations.

About the Role

As an Analytics Engineer, you will be setting the foundation to scale analytics across our business functions and impart best data practices for a rapidly growing organization. We aspire to build the Finance team of the future.

In addition, you will work collaboratively with key stakeholders in Finance and other business teams to understand their pain points and take the lead in proposing viable, future-proof solutions to resolve them. You will also autonomously lead your own projects that deliver business impact and help cultivate a mature data culture among Finance teams.

We are looking for a seasoned engineer who has a proven track record of owning the entire data stack at high transaction volume companies, managing business critical ETL pipelines consumed by non-technical teams. As a generalist “fixer”, you may be deployed across several different Finance domains (e.g. Tax datamart, ERP migration, Procurement automation). For this role we need someone who excels in dynamic environments, adapts quickly to changing needs, and confidently navigates ambiguous or evolving requirements. If you're energized by solving technical problems without a playbook and comfortable wearing multiple hats, this role is for you! To clarify, you will not be responsible for training ML models and neither would we describe this role as ‘product analytics’.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Understand the data needs of Finance teams, including Revenue, Tax, Procurement, Compute & Infrastructure Accounting, Strategic Finance, and translate that scope into technical requirements

• Facilitate the development of data products and tools to for stakeholders to self-service and enable analytics to scale across the company

• Lead dimensional design - define, own, and maintain business facing data marts

• Be a cross-functional champion at upholding high data integrity standards and SLAs for the timely delivery of data

• Build and maintain insightful and reliable dashboards to track both operational and financial Metrics for the Executive team

• Contribute to the future roadmap of the Finance team from a data systems perspective

• Grow to be an expert in Finance Data and OpenAI’s data architecture

You might thrive in this role if you have:

• 7+ years of experience as an Analytics Engineer or in a similar role (Data Analyst or Data Engineer) with a proven track record in shipping canonical datasets

• Empathy towards non-developer stakeholders and their day-to-day pain points

• Strong proficiency in SQL for data transformation, comfort in at least one functional/OOP language such as Python or R

• Familiarity with managing distributed data stores (e.g. S3, Trino, Hive, Spark), and experience building multi-step ETL jobs coupled with orchestrating workflows (e.g. Airflow, Dagster)

• Experience in writing unit tests to validate data products and version control (e.g. GitHub, Stash)

• Expert at creating compelling data visualizations with dashboarding tools (e.g. Tableau, Looker or similar)

• Excellent communication skills and ability to present data-driven narratives in both verbal and written form to a non-technical audience

• Experience solving ambiguous problem statements in an early stage environment

You could be an especially great fit if you have:

• Prior experience leading the development of an internal production tool, serving hundreds of cross-functional customers such as Billing Operations, Deal Desk or Go-to-Market teams

• Some frontend experience with React, TypeScript, Retool, Streamlit, or building web apps

• Good understanding of Spark and ability to write, debug, and optimize Spark jobs

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see [OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement](https://cdn.openai.com/policies/eeo-policy-statement.pdf).

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer

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You'll own forecasting and capacity planning across our support organisation, including FTE teams, AI-powered support channels, and vendor/contractor partnerships. This means building models that predict volume based on product launches, model releases, and customer growth; analysing the relationship between support metrics and business outcomes; and ensuring we have the right resources in the right places to meet our service commitments.

This is a high-ambiguity role where you'll often be building from scratch. We're looking for someone who can create structure where none exists, ask the right questions to scope problems, and translate messy data into narratives that drive action.

Responsibilities:

• Build and maintain staffing models that translate SLA targets into headcount requirements across FTE and vendor teams
• Forecast support volume by analysing historical trends, product release calendars, model launches, and customer base growth projections
• Factor AI support effectiveness (automation rates, deflection, Fin AI Agent performance) into capacity models to ensure accurate human staffing projections
• Partner with vendor managers to align contractor capacity with demand forecasts and service level requirements
• Model scenarios to inform strategic decisions about staffing investments, vendor mix, and coverage models
• Develop frameworks for prioritising automation initiatives based on volume impact and deflection potential

Analytics & Reporting:

• Maintain and enhance dashboards that track productivity, response times, CSAT, queue health, and other key support metrics
• Investigate the relationship between support performance and business outcomes (e.g., how response time and satisfaction impact retention and churn)
• Surface trends and insights that inform operational decisions—identifying what's driving volume, where bottlenecks emerge, and where investment is needed
• Translate complex data into clear recommendations for leadership and cross-functional partners

Operational Partnership:

• Collaborate with Support Ops, AI Support, and Human Support teams to ensure data and forecasts align with operational reality
• Partner with Finance on headcount planning, budget alignment, and quarterly capacity reviews
• Work with Product and Engineering to anticipate how launches and feature changes will impact support demand
• Contribute to vendor performance management by establishing metrics frameworks and reporting cadences

You might be a good fit if you:

• Have 4+ years of experience in workforce management, support operations analytics, business analytics, or similar roles—ideally in a support or customer success context
• Are deeply analytical with strong SQL skills and experience with data warehouses (e.g., BigQuery) and analysis tools like Hex, Looker, or similar
• Have hands-on experience with forecasting and capacity planning, including modelling staffing needs against service level targets
• Are comfortable working with ambiguity—you can take a vague question, scope it into an answerable problem, and deliver insights that drive decisions
• Understand support operations metrics (SLAs, handle time, CSAT, deflection rates) and can connect them to business impact
• Have experience working with BPO or vendor partners on staffing, performance, and capacity alignment
• Communicate clearly—you can translate technical analysis into narratives that resonate with both operational teams and executives
• Are curious about AI and excited to work in an environment where the product and support landscape evolve rapidly
• Thrive in fast-paced environments and can balance building foundational infrastructure with responding to urgent business questions
• Have experience with workforce management platforms (e.g., Assembled, NICE, Calabrio) is a plus, but not required

The annual compensation range for this role is $131,040 - $165,000 USD.

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As a GTM Strategy & Operations Business Partner supporting the AMER Enterprise organization, you will work closely with sales leadership to be a deep expert in a critical segment of our fastest-growing business. This role supports the AMER Enterprise team, one of Anthropic's largest and most strategically significant commercial organisations, and will partner directly with executives to drive strategic analysis, operational efficiency, and growth initiatives across emerging and developing verticals while supporting critical global strategic initiatives.

Responsibilities:

Strategic Analysis, Operations & Planning

Partner with Global and AMER Enterprise segment leaders to analyse and refine segment-specific strategy including territory planning, resource allocation, performance to plan, and growth initiatives

Support development of targeted strategies across different customer segments and verticals based on their unique characteristics, product-market fit trajectories, and needs

Maintain excellence through business reviews and operating cadences to help achieve company revenue targets and strategic objectives

Be audible-ready about GTM efforts and a deep expert in your segment's book of business and trends with the ability to cut right to what matters for varying audiences from IC to executive

Data-Driven Decision Support

Analyse sales performance metrics and develop insights to optimise segment performance and improve efficiency using SQL, R, or Python to query, model, and visualise data at scale

Leverage Claude to its full capability

Partner to create, evolve and maintain reporting mechanisms, using data to go from 'what' to 'why'

Synthesise tangible, strategic recommendations based on go-to-market motions, deal outcomes, partner and customer feedback, and product opportunities

Build and maintain dashboards, models, and ad hoc analyses in spreadsheets and BI tools with mastery-level proficiency

Go-to-Market Execution

Develop and maintain use case frameworks to capture and standardise how customers derive value

Support multiple teams and executives in leveraging insights for new deals, expansions, and retention strategies

Partner with GTM teams to evolve and refine sales motions and best practices across segments and regions

Executive Stakeholder Management

Serve as a trusted strategic advisor to senior and executive stakeholders across the GTM organisation, delivering insights and recommendations with clarity, conviction, and composure

Navigate high-stakes conversations with intense, demanding executives — maintaining poise under pressure while delivering candid, well-supported perspectives

Build deep credibility through consistent follow-through, proactive communication, and the ability to challenge assumptions respectfully when the data warrants it

Translate complex analyses into executive-ready narratives that drive decisions, managing up effectively across multiple senior leaders with competing priorities

Cross-Functional Collaboration

Work closely with Revenue Operations, Sales Enablement, Strategic Finance, and Product teams to drive initiatives and elevate excellence in course of business

Support coordination between AMER Enterprise sales segments and partnership teams

Help prepare materials for executive reviews and planning sessions

You may be a good fit if you have:

Must-Haves

Deep alignment to Anthropic's mission

5+ years of experience in sales strategy, revenue operations, management consulting, or GTM operations

Proficiency in SQL or R — you can independently write queries, build models, and extract insights from large datasets without relying on others

Mastery of spreadsheet tools and data (Google Sheets / Excel) — pivot tables, complex formulas, data modelling, and scenario analysis are second nature to you

Strong analytical skills with the ability to translate data into actionable insights and compelling executive narratives

Deep experience with GTM systems like Salesforce and business intelligence tools (Looker, Tableau, etc.)

Proven executive stakeholder management skills — you have a track record of presenting to and influencing C-suite and VP-level leaders in high-intensity environments.

An ability to pull signal through noise and an internal drive to create clarity. You strive for simplicity as the most elegant solution to complex situations.

A demonstrated ability to build trust with and influence a variety of stakeholders, including colleagues and other members of the GTM Strategy and Revenue Operations team

A healthy balance of idealism with pragmatism and the highest internal bar for excellence. You have been accountable for the results of your work and are driven to deliver high-quality outcomes.

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Responsibilities

• Design and analyse marketing experiments to optimise campaigns, messaging, and channel performance across email, paid ads, social, and content marketing.
• Build attribution models and multi-touch conversion funnels to understand the customer journey from first touch to paid conversion.
• Develop predictive models to identify high-intent prospects, optimise lead scoring, and improve targeting for paid acquisition campaigns.
• Partner with marketing, growth, and revenue teams to translate business questions into rigorous analysis and clear recommendations.
• Create self-service dashboards and automated reporting that surface key marketing metrics (CAC, LTV, ROAS, conversion rates) for go-to-market teams.
• Build and maintain data pipelines that integrate marketing platforms (Google Ads, Meta, Iterable, Segment, etc.) with our product analytics.

Examples of what you could do

• Build propensity models to identify which free users are most likely to convert to plans based on usage patterns and engagement signals.
• Analyse cohort behaviour and retention patterns to optimise lifecycle marketing campaigns and reduce churn.
• Develop segmentation models to personalise messaging and targeting for different user personas (students, hobbyists, professional developers, enterprise teams).
• Build real-time alerting systems to flag anomalies in campaign performance or conversion metrics, automate bidding adjustments across platforms.

Required skills and experience

• Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or related field, OR equivalent real-world experience in data roles.
• 4+ years of experience in data science or related roles with a focus on marketing, growth, or business analytics.
• Strong SQL skills and experience working with large datasets, particularly event-level user behaviour data, and designing ETL workflows using dbt
• Proficiency in Python and data science libraries (pandas, scikit-learn, statsmodels, etc.).
• Experience designing and analysing A/B tests and experiments, including statistical rigor around sample sizing, significance testing, and causal inference.
• Experience building dashboards and visualisations (Looker, Tableau, Mode, or similar tools).
• Ability to translate ambiguous business questions into structured analysis and communicate findings clearly to non-technical stakeholders.

Preferred Qualifications

• Experience with modern data stack (dbt, BigQuery, Snowflake, Fivetran, etc.).
• Background in growth analytics, marketing analytics, or conversion rate optimisation at a SaaS or PLG company.
• Familiarity with marketing technology platforms (Google Analytics, Segment, Iterable, Marketo, HubSpot, etc.).
• Experience with attribution modelling, marketing mix modelling, or incrementality testing.
• Understanding of PLG (product-led growth) motions and self-serve conversion funnels.

Bonus Points

• Experience analysing freemium or usage-based pricing models.
• Understanding of developer tools, collaborative coding environments, or technical products.
• Experience with causal inference methods (difference-in-differences, synthetic control, propensity score matching).
• Familiarity with customer data platforms (CDPs) and event tracking implementation.
• Experience working with sales and customer success data to analyse expansion revenue and upsell opportunities.

Full-Time Employee Benefits Include

• Competitive Salary & Equity
• 401(k) Program with a 4% match
• Health, Dental, Vision and Life Insurance
• Short Term and Long Term Disability
• Paid Parental, Medical, Caregiver Leave
• Commuter Benefits
• Monthly Wellness Stipend
• Autonomous Work Environment
• In Office Set-Up Reimbursement
• Flexible Time Off (FTO) + Holidays
• Quarterly Team Gatherings
• In Office Amenities

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About the team

The Intelligence and Investigations team seeks to rapidly identify and mitigate abuse and strategic risks to ensure a safe online ecosystem. We are dedicated to identifying emerging abuse trends, analysing risks, and working with our internal and external partners to implement effective mitigation strategies to protect against misuse. Our efforts contribute to OpenAI's overarching goal of developing AI that benefits humanity.

About the role

We are looking for a data visualization analyst who can turn complex intelligence and forecast outputs into clear, interactive visual stories that shape how OpenAI manages risk. In this role, you build the dashboards, maps, and visual frameworks that leadership and partners rely on to understand where risks are emerging, how they evolve over time, and which mitigations matter most.

In this role, you will

Design and build dashboards and interactive visualizations that track:

• Emerging safety and abuse risks across products and geographies.

• Geopolitical developments that affect OpenAI's risk posture.

• Key abuse cases and incident trends using both structured and unstructured data.

Develop interactive risk views such as:

• Prioritization heat maps for safety and abuse scenarios.

• 'Emerging risks' boards with drill-downs for deep dives.

• Forecast views of risk trajectories, including scenario comparisons over time.

Partner with analysts and investigators to:

• Translate narrative intelligence, case studies, and OSINT into visual formats.

• Standardize how we visualize incidents, metrics, campaigns, and risk clusters.

• Iterate quickly on visual prototypes in response to ongoing investigations or emerging crises.

Collaborate with data science, Safety Systems, Integrity, Global Affairs, and Product teams to:

• Ingest and align data from multiple internal systems and external sources.

• Ensure visualizations are accurate, timely, and consistent with existing metrics and taxonomies.

• Build views that are directly usable in leadership reviews, safety councils, and partner briefings.

Establish and maintain a visual 'source of truth' for:

• Top strategic risk themes and their evolution over time.

• Cross-geography views (e.g., markets, supply chains, infrastructure) for safety and geopolitical risk.

• Key mitigations and owners linked to specific risk categories or regions.

• Create templates, style guides, and reusable components so that the team can rapidly produce consistent, high-quality visual materials (dashboards, one-pagers, workshop materials, and exec reviews).

You might thrive in this role if you

• Significant experience (typically 4+ years) in data visualization, business intelligence, or analytics, ideally in security, trust and safety, intelligence, risk, or policy environments.

• Demonstrated expertise with at least one major data visualization / BI stack (e.g., Tableau, Looker, Power BI, Mode, Superset, or equivalent), including building interactive visualizations and dashboards.

• Strong visual design skills and the ability to communicate complex information in a clear and concise manner.

• Excellent collaboration and communication skills, with the ability to work effectively with cross-functional teams.

• Strong problem-solving skills and the ability to adapt to changing priorities and deadlines.

• Experience with data storytelling and the ability to turn complex data into compelling narratives.

• Familiarity with OpenAI's products and services, or a strong desire to learn about them.

• A passion for using data to drive decision-making and improve outcomes.

• A commitment to delivering high-quality work and meeting deadlines.

• A willingness to learn and grow with the team and the company.

What we offer

• Competitive salary and benefits package.

• Opportunity to work with a talented and diverse team of professionals.

• Collaborative and dynamic work environment.

• Professional development opportunities and training.

• Flexible work arrangements and remote work options.

• Access to cutting-edge technology and tools.

• Recognition and rewards for outstanding performance.

• A fun and inclusive company culture.

How to apply

If you are a motivated and talented data visualization analyst looking for a new challenge, please submit your application, including your resume and a cover letter, to [insert contact information]. We look forward to hearing from you!

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Location

San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Compensation

• $230K – $255K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

About the Team

The User Operations team is central to ensuring that our customers' experience with our products is nothing short of exceptional. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. Given OpenAI’s breakneck shipping cadence and growth—and the expectation that it will only accelerate—transforming our rich support data into real‑time insights and scalable, self‑serve analytics is critical to sustaining exceptional customer experiences on the path to AGI.

About the Role

We’re seeking a Support Data Scientist who will dig deep into user‑support data—surfacing trends, volumes, and friction signals—and turn these findings into actionable insights and always‑on reporting. You’ll design, build, and maintain self‑serve dashboards that keep every stakeholder informed in real time, partnering closely with Data Science and Engineering to ensure clean pipelines, robust models, and scalable tooling. Think proactive friction detection and real‑time service‑health views that help us stay ahead of demand—delivering decision‑grade insights, not just prettier slide decks.

This role is based in San Francisco, California. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Explore large support and product datasets to uncover trends, volume drivers, and user‑experience pain points, distilling findings into clear, actionable narratives.

• Build, enhance, and maintain self‑serve dashboards and reporting tools, enabling non‑technical teams to answer their own data questions.

• Establish a unified metrics taxonomy for service‑health and performance—and build automated data‑sharing pipelines and scorecards with our BPO partners to ensure everyone operates from the same real‑time view of success

• Leverage LLMs to build bespoke classifiers that automatically label and segment inbound volumes—powering smarter routing, richer self‑serve insights, and swifter root‑cause analysis.

• Partner with Data Engineering to ensure reliable pipelines, implement data‑quality checks, and document sources of truth.

• Jump into high‑priority special projects to conduct bespoke deep‑dive analyses and deliver clear, strategic recommendations to leadership.

• Prototype quickly—leveraging ChatGPT, Jupyter notebooks, Retool, and other tools—to prove value before hardening with Engineering.

• Collaborate with Data Science on predictive models and experimentation, translating results into operational recommendations.

You might thrive in this role if you:

• 8 + years in analytics, business intelligence, or data science (experience with customer support or operations teams is a plus).

• Expert‑level SQL skills and proficiency in Python or R for advanced analysis and automation

• Hands‑on experience designing and maintaining BI dashboards (e.g. Looker, Mode, Tableau, Sundial) with a focus on clarity and self‑serve usability.

• Hands‑on experience fine‑tuning or prompt‑engineering LLMs to build text classifiers, sentiment analysis, or tagging systems.

• Demonstrated ability to translate complex datasets into clear business stories and recommendations for both technical and non‑technical audiences.

• Familiarity with support metrics (SLAs, FCR, deflection) and ability to define service health KPIs.

• Strong cross‑functional communication skills—comfortable collaborating daily with engineers, data scientists, and operations leaders.

• An eye for detail, a zero‑defect mindset, and a bias to

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Location

New York City; San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Data Science

Compensation

• $230K – $385K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

OpenAI’s User Operations organization is building the data and intelligence layer behind AI-assisted operations — the systems that decide when automation should help users, when humans should step in, and how both improve over time. Our flagship platform is transforming customer support into a model for “agent-first” operations across OpenAI.

About the Role

As a Data Scientist on User Operations, you’ll design the models, metrics, and experimentation frameworks that power OpenAI’s human-AI collaboration loop. You’ll build systems that measure quality, optimize automation, and turn operational data into insights that improve product and user experience at scale. You’ll partner closely with Support Automation Engineering, Product, and Data Engineering to ensure our data systems are production-grade, trusted, and impactful.

This role is based in San Francisco or New York City. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees.

Why it matters

Every conversation users have with OpenAI products produces signals about how humans and AI interact. User Ops Data Science turns those signals into insights that shape how we support users today and design agentic systems for tomorrow. This is a unique opportunity to help define how AI collaboration at scale is measured and improved inside OpenAI.

In this role, you will:

• Build and own metrics, classifiers, and data pipelines that determine automation eligibility, effectiveness, and guardrails.

• Design and evaluate experiments that quantify the impact of automation and AI systems on user outcomes like resolution quality and satisfaction.

• Develop predictive and statistical models that improve how OpenAI’s support systems automate, measure, and learn from user interactions.

• Partner with engineering and product teams to create feedback loops that continuously improve our AI agents and knowledge systems.

• Translate complex data into clear, actionable insights for leadership and cross-functional stakeholders.

• Develop and socialize dashboards, applications, and other ways of enabling the team and company to answer product data questions in a self-serve way

• Contribute to establishing data science standards and best practices in an AI-native operations environment.

• Partner with other data scientists across the company to share knowledge and continually synthesize learnings across the organization

You might thrive in this role if you have:

• 10+ years of experience in data science roles within product or technology organizations.

• Expertise in statistics and causal inference, applied in both experimentation and observational causal inference studies.

• Expert-level SQL and proficiency in Python for analytics, modeling, and experimentation.

• Proven experience designing and interpreting experiments and making statistically sound recommendations.

• Experience building data systems or pipelines that power production workflows or ML-based decisioning.

• Experience developing and extracting insights from business intelligence tools, such as Mode, Tableau, and Looker.

• Strategic and impact-driven mindset, capable of translating complex business problems into actionable frameworks.

• Ability to build relationships with diverse stakeholders and cultivate strong partnerships.

• Strong communication skills, including the ability to bridge technical and non-technical stakeholders and collaborate across various functions to ensure business impact.

• Ability to operate effectively in a fast-moving, ambiguous environment with limited structure.

• Strong communication skills and the ability to translate complex data into stories for non-technical partners.

Nice-to-haves:

• Familiarity with large language models or AI-assisted operations

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Data Scientist, Business

Location

San Francisco

Employment Type

Full time

Department

Data Science

Compensation

• $255K – $405K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

The Business Data Science team uses data and analytics to optimize business performance, drive growth, and foster meaningful partnerships, with the goal of ensuring the sustained and impactful expansion of OpenAI's initiatives to maximize the benefits of AGI for all of humanity. We partner with Sales (GTM), Marketing, Partnerships, Support, Finance, Product, and Growth.

About the Role

As a member of our Business Data Science team, you will help build a data-driven culture around insight generation, decision making, and strategy at OpenAI. This role is focused on driving customer success within our business products (ChatGPT Team, ChatGPT Enterprise, and API). You will work on projects such as identifying opportunities for interventions within a customer lifecycle to drive activation & onboarding, identifying target audiences for new feature launches, and measuring the efficacy of emails, events, and other interventions to drive ongoing engagement with our products.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Embed with our Customer Success organization as a trusted partner, uncovering new ways to drive customer adoption and engagement of our business products.

• Establish key metrics, run experiments, and perform analysis to help us understand the incrementality of our efforts to drive adoption/engagement.

• Proactively surface insights and opportunities to drive engagement and growth.

• Build tools and systems for stakeholders to self-serve routine data and insights freeing up time to work on more leveraged analyses.

• Become an expert in OpenAI’s data and systems. Through partnership with Data Eng, Finance and other business teams, you will self-serve all the underlying data for our business and derive insights from them.

• Partner with other data scientists across the company to share knowledge and continually synthesizing learnings across the organization

You might thrive in this role if you have:

• At least 7+ years of experience in Data Science roles within dynamic, outcome-driven organizations.

• Expertise in statistics and causal inference, applied in both experimentation and observational causal inference studies.

• Proficiency in quantitative programming languages, such as Python and R.

• Expertise in SQL, with extensive experience extracting large datasets and designing ETL workflows.

• Experience using business intelligence tools, such as Mode, Tableau, and Looker.

• Strategic and impact-driven mindset, capable of translating complex business problems into actionable frameworks.

• Ability to build relationships with diverse stakeholders and cultivate strong partnerships.

• Strong communication skills, including the ability to bridge technical and non-technical stakeholders and collaborate across various functions to ensure business impact.

• Ability to craft clear data stories using decks, memos, and dashboards to drive decision-making at every level.

• Best-in-class attention to detail and unwavering commitment to accuracy.

• Proven track record in solving problems within Finance, Marketing, Partnerships, Sales, Support, or other GTM areas.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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San Francisco

Employment Type

Full time

Department

Data Science

Compensation

• $234K – $335K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Role

As an early member of our Data team within the Go-To-Market (GTM) organization, you will play a pivotal role in building a data-centric culture, enhancing decision-making processes, and driving strategic initiatives through analytics. This role involves a variety of projects aimed at developing canonical data sources and dashboards that enable the business to derive trustworthy, actionable insights. Most importantly, you should expect to be a core member of the GTM team, helping to bring our technology to a wide range of customers and supporting our self serve and sales led motions.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Embed with the GTM team as a trusted partner, identifying high-impact analytics problems and pioneering data-driven solutions.

• Establish a data-driven culture by driving the definition, tracking, and operationalizing of metrics

• Manage cross-functional data projects about revenue, pricing, sales, product, marketing, growth, and other topics core to the business.

• Create scalable pipelines for data collection, cleaning, and analysis from multiple sources, and manage the lifecycle of metrics and models from prototyping to production.

• Develop and refine tools such as dashboards and reports that empower the team to extract and analyze data independently.

• Conduct analyses to uncover insights and inform key decisions.

• Use presentations, memos, and tools to communicate complex data insights clearly and persuasively across the organization.

You might thrive in this role if you are/have:

• Over 10 years of experience in a relevant Data role within dynamic, outcome-driven organizations.

• Highly skilled in SQL, with extensive experience extracting large datasets and designing ETL workflows.

• Proficient in quantitative programming languages, Python preferred.

• Experienced in using business intelligence tools, such as Tableau and Looker, to communicate insights and enable self-serve.

• Familiar with advanced custom visualizations, such as streamlit and plotly dash.

• Adept at crafting clear data stories using decks, memos, and dashboards to drive decision-making at every level.

• Best-in-class attention to detail and unwavering commitment to accuracy.

• Demonstrated ability to build effective partnerships across diverse teams and influence decision making with data.

• Proven track record of delivering significant business impact, with a solid track record in Sales, Marketing, Finance, Growth, Support, or other GTM-related areas preferred.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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What you'll do

Lead analytics projects for live-service titles and games as a platform, from concept through to actionable recommendations, ensuring insights directly inform and support launch and ongoing operations.

What you need

• 3+ years of experience applying quantitative or statistical methods to produce insights from data

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What you'll do

• Define and maintain product KPIs for subscription and platform performance.
• Build dashboards and reporting to monitor acquisition, engagement, and retention.

What you need

• Bachelor’s degree in analytics, economics, statistics, or related field.

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What you'll do

• Champion analytics projects from the conceptual stages through communication of results and recommendations
• Use player data to perform behavioural analysis, clustering analysis, predictive modeling, hypothesis testing, and more

What you need

• 5+ years of experience applying quantitative or statistical methods to produce insights from data

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What you'll do

Define and manage the roadmap for features, content, or systems within Apex Legends.

• Balance player needs with business goals in setting priorities and outcomes.

What you need

• 5+ years in product management in AAA games.

• Demonstrated success managing product features, content pipelines, or monetization systems.

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