You will be part of a controlling team that lives active collaboration. Whether monthly closing, budget planning, or forecasting, we all work together to support informed decisions across the entire company. New colleagues are integrated into diverse tasks and projects.

You can expect a modern working environment with digital internal controlling systems. You will work on creating reports, analyses, and recommendations and gain comprehensive insights into our company's financial management. At the same time, you will actively shape how we develop processes and create transparency across all business areas.

At Porsche, you will contribute to making the fascination of Porsche visible in numbers. You will analyze business economic developments, support departments with reliable data, and shape the financial management of the company with your engagement. You will transport values such as precision, professionalism, and teamwork into every task.

If you combine analytical strength with structured work, enjoy taking responsibility, and are enthusiastic about shaping one of the world's strongest brands, then you fit perfectly into our team.

Your tasks will include:

• Monthly closing according to HGB in close coordination with accounting
• Consolidation of Porsche Niederlassung results
• Creation and analysis of KPIs
• Integration of closing results into corporate systems
• Corporate reporting
• Preparation of results for management
• Creation of evaluations for decision-making documents
• Ad-hoc analyses for all cost centers in the company
• Sparring partner for management
• Budget, forecast, and monthly prognosis
• Contact person for auditors and stakeholders
• Project development and support
• Contribution to Corporate Development
• Reconciliation of sales provisions
• Reconciliation of aftersales premiums
• Care of Sharepoint
• Scenario calculations (best case/worst case)
• Liquidity analysis and ensuring
• Digitalization and automation of processes

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Key responsibilities include:

• Supporting general Aftersales projects and strategic initiatives
• Preparing presentations and documents for internal and external stakeholders
• Creating, verifying, and developing Aftersales reports for internal and external use
• Monitoring Aftersales quality processes and key performance indicators
• Handling and coordinating operational inquiries from Porsche importers
• Supporting cross-functional coordination with departments such as Sales, Marketing, and Business Development

Requirements include:

• Studying in Business Administration, Economics, Industrial Engineering, or any other relevant studies
• Proficiency in Microsoft Office suites
• Experience with reporting and business intelligence tools is a plus
• Fluency in written and spoken English with excellent communication skills
• Open-minded, organised, analytical, and quality-oriented, able to work independently and prioritise
• Team-oriented working attitude and good intercultural understanding
• Past internship experience preferred

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Developing and implementing innovative planning tools Business Intelligence with SAP Analytics Cloud: creating and enhancing dashboards and reports for management Data modelling and integration with SAP Datasphere to create powerful data structures for analysis and forecasting Implementing and testing small machine learning solutions to automate and improve Controlling processes Supporting the Data & AI Team in developing the strategy, methods, and tools for digital transformation in Controlling Collaborating in interdisciplinary projects focused on digitalisation and data-based process optimisation

You will work closely with our Data & AI Team to design and implement cutting-edge solutions that drive business success. Your contributions will help shape the future of Controlling at Porsche.

In this role, you will have the opportunity to work on various projects, including:

Developing and implementing new reporting and analytics solutions Enhancing existing dashboards and reports Creating data models and integrating them with SAP Datasphere Implementing machine learning algorithms to automate and improve Controlling processes Collaborating with cross-functional teams to drive digital transformation

As a member of our team, you will be part of a dynamic and innovative environment where you can grow professionally and personally. You will have access to state-of-the-art technology and tools, as well as opportunities for professional development and networking.

If you are passionate about data-driven decision-making, innovation, and collaboration, we encourage you to apply for this exciting opportunity.

Key responsibilities:

• Develop and implement modern reporting and KI solutions
• Create and enhance dashboards and reports for management
• Design and implement data models and integrate them with SAP Datasphere
• Implement and test small machine learning solutions
• Support the Data & AI Team in developing the strategy, methods, and tools for digital transformation
• Collaborate in interdisciplinary projects focused on digitalisation and data-based process optimisation

Requirements:

• Bachelor's degree in Economics, Computer Science, Mathematics, Data Science, Business Administration, or a related field
• First-hand experience in Business Intelligence, preferably with SAP Analytics Cloud and SAP Datasphere
• Basic knowledge of data modelling, data analysis, and machine learning
• Proficiency in MS Office and interest in modern database and cloud technologies
• Self-motivated, structured, and analytical working style
• Enjoy working in a team and being part of innovative digital solutions
• Flexibility and high motivation to learn and apply new technologies in Controlling
• Excellent German language skills and good English language skills

Benefits:

• Personal mentors and an open feedback culture
• Digital learning and working tools
• Mobile learning after coordination with the team
• Own project work
• Team events on a voluntary basis
• Active internship community

Duration: 5-6 months

Start date: September

Location: Zuffenhausen

We look forward to receiving your application!

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The position will support and manage the parts transfer network of truck, LTL, and rail lanes to assure timely and cost-efficient freight moves between AHM facilities. This includes working with Honda and 3PL managed locations for scheduling, routing and tracking of these shipments. Will assist management in the development of systems to track lead-time by lane, mode and carrier to identify opportunities to reduce lead-time and cost. Will assist management by tracking specific transportation costs to achieve budget while also meeting published transit times.

Key Accountabilities

• Schedule transfers from Hubs to Part Center or off-site locations, by establishing a regular lane schedule and securing additional transportation coverage for variance above the planned requirements. Work with and manage carrier's performance and or adjust scheduling to ensure the transfer network achieves transit times when exceptions occur.
• Review and approve invoices from carriers within contractual timeframe. Work with freight payment provider and carriers to identify and resolve issues for payments
• Support parcel and LTL shipments, issues or tracking as needed
• Create reports, interpret data, and provide analysis to make recommendations or improve logistics department and Honda's overall performance.
• Damage claims resolution, special projects, and network support

Qualifications, Experience, and Skills

Minimum Educational Qualifications Bachelor's degree in related discipline (Transportation / Logistics, Data Analytics- Management, Business Administration) or 4 years equivalent work-related experience and proven record of success.

Minimum Experience Minimum of two years' experience in transportation or Data Analytics field and have a proven record of achieving results.

Other Job-Specific Skills Experience with Business Intelligence, MS Office applications, Project44, Transportation Management Systems, Freight payment

Working Conditions

Office is the primary work environment Travel may be required as needed, usually less than 5% of the time

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The position holder will be part of the Corporate Sales US team supporting Front Office sales team, Management, COO through the provision of key client insights and services. You will work closely with the COO office, Corporate Sales regional/country heads and sales leads in onshore locations.

Your responsibilities will include executing market research and market commentary writ-ups, building actionable intelligence across the corporate client base, maintaining Corporate Sales Marketing content hub, handling global stakeholders, incorporating external market information into the analytics function, preparing pre-meeting client packs for sales team members, and providing commentary on industry trends.

You will also support Corporate Sales regional heads on ad-hoc as well as Business as Usual (BAU) data and other ad-hoc requests.

As an HSBC employee, you will have access to tailored professional development opportunities to ensure you have the right skills for today and tomorrow. We offer a competitive pay and benefits package including a robust Wellness Hub, all in a welcoming and inclusive work environment.

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Ideally, you will have 6+ years of financial analysis experience working directly in a Corporate Finance or a Strategic Finance role, with 2 years of investment banking or top-tier consulting experience. You will have demonstrated excellent project management skills, ability to manage and manipulate large data sets, critically analyze existing processes, and identify opportunities for process improvement. You will have strong knowledge of Google Suite, and MS Office (Excel, Word, PowerPoint); expert Excel modeling skills.

The ideal candidate will be a strong communicator with excellent interpersonal skills to manage various stakeholders. You will be able to work closely with department heads on real-time high-priority business issues and use quantitative insights to drive better decision-making across the organization.

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We’re looking for a high-performing, all-rounded finance athlete to join our team and support the rapidly growing Generative AI (GenAI) business. You’ll collaborate closely with Product, Operations, Growth, and Go-to-Market leaders to bring financial rigor to decision-making, develop actionable insights that drive strategy, and build scalable systems as the business expands.

This role is ideal for someone with 4-6 years of experience in a fast-paced, high-growth environment. Someone who thrives in ambiguity, can juggle multiple workstreams, and brings a mix of analytical rigor, business acumen, and strong execution.

You will:

• Own and evolve part of the GenAI financial forecasting model, driving accuracy and insight across planning cycles
• Support reporting and performance management, including weekly and monthly reviews, consolidations, and ad hoc analyses
• Partner with GenAI leadership and cross functional teams to evaluate and execute key strategic and operational initiatives that scale the business multifold
• Conduct financial analyses and build business cases for new products, partnerships, and investments
• Collaborate with Accounting, and Corporate Finance to improve close, reporting, and planning cadences
• Continuously improve financial processes and systems to enhance scalability, forecast precision, and data visibility

Ideally, you'd have:

• 4–6 years of experience in Strategic Finance, FP&A, or Business Operations, ideally within a high-growth technology company
• 2 years of investment banking experience at a top-tier firm
• Strong analytical and financial modeling skills; ability to translate complex data into actionable insights
• Excellent communication skills, with the ability to distill complexity into clear narratives for non-finance stakeholders
• Advanced proficiency in Excel, Google Sheets, and PowerPoint; strong command of financial modeling best practices
• Experience with SQL or Business Intelligence tools (e.g., Looker, Tableau)
• Familiarity with Anaplan, Adaptive Insights, or other planning systems

Nice to haves:

• Bachelor’s degree in Finance, Accounting, Economics, Engineering, or a related field
• Prior experience supporting Product, Engineering, Growth, or Operations teams within a technology company

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Location: San Francisco, CA

At Scale, we're developing reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact.

We're looking for a Robotics Quality Lead I to join our team. As a Robotics Quality Lead I, you will hold primary accountability for the facility's performance during your assigned shift. This role ensures the seamless integration of human capital, robotic systems, and data integrity.

Responsibilities:

Organizational Leadership - Direct Span of Control:

• Provide strategic and tactical direction across all roles on the shift including Operations Specialists, Technicians, and Data Collectors.

Employee Experience & Advocacy:

• Serve as the guardian of the workplace experience. Proactively identify the demands and requirements of the shift staff, transforming feedback into actionable initiatives that enhance operational ergonomics, engagement, and overall workplace satisfaction.

Mentorship:

• Utilize structured 1:1 coaching sessions as the primary mechanism to discuss career path, provide performance feedback, and prepare career paths for operators and supervisors.

Operational Excellence & Metric Accountability:

• Maintain full accountability for shift-level performance in Safety, Quality, Productivity, and Cost.

• Partner with the Robotics Technical team to ensure maximum equipment uptime. Serve as the primary escalation point for any operational disruptions, ensuring rapid resolution to maintain data collection targets.

• Oversee complex labor planning and headcount allocation, ensuring that all team members are effectively deployed against the site's daily objectives.

Advanced Data Analysis & Problem Solving:

• Execute analysis of shift performance data. The Shift Lead must demonstrate the ability to identify statistical outliers and performance trends, translating raw data into technical or behavioral insights.

• Lead formal Root Cause Analysis (RCA) processes (e.g., 5-Whys, Fishbone) to address complex operational variances and implement preventive measures to ensure long-term stability.

Stakeholder Collaboration:

• Collaborate daily with Quality Management, Engineering, and on-site Maintenance teams to synchronize efforts. Facilitate formal shift handovers to ensure the precise transfer of critical information and operational status between leadership teams.

Ideal Candidate:

• Experience: 3+ years in high-volume manufacturing, automated logistics, or technical operations. Significant leadership capacity managing large-scale teams

• Analytical Expertise: Advanced proficiency in operational data analysis and the use of business intelligence tools to drive informed decision-making.

• Methodological Rigor: Expert knowledge of Lean Manufacturing principles and standardized problem-solving frameworks.

• Education: Bachelor’s degree in Industrial Engineering, Robotics, Mechanical/Electrical Engineering, or a related technical field; alternatively, an equivalent combination of education and extensive industry experience will be considered.

• Communication: Exceptional verbal and written communication skills in both English and Spanish, with the ability to present complex operational reports to executive leadership.

Salary and Benefits:

• Compensation packages at Scale for eligible roles include base salary, equity, and benefits.

• The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

• Scale employees in eligible roles are also granted equity-based compensation, subject to Board of Director approval.

• You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO.

Additional Benefits:

• This role may be eligible for additional benefits such as a commuter stipend.

Please note that our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact.

We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force.

We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.

If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com.

Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates.

We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws.

Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.

Please see our privacy policy for additional information.

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You will provide tactical direction across all collection roles on the shift, serve as the guardian of the workplace experience, and identify the demands and requirements of the shift staff.

Key responsibilities include maintaining full accountability for shift-level performance in Quality, ensuring data collection is staged for success with minimal Collector overhead, and serving as the primary escalation point for any operational disruptions.

Additionally, you will become an expert in understanding customer needs and the operational implementation required to deliver them, ensure Collection team is meeting these expectations, and execute analysis of quality, diversity, and distribution data.

Ideal candidates will have experience in high-volume manufacturing, automated logistics, or technical operations, analytical expertise, methodological rigor, and exceptional verbal and written communication skills in both English and Spanish.

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You will:

• Provide strategic and tactical direction to a shift organization of 100 people, including Operations Supervisors, Robotics Technicians, and Data Collection Associates.
• Serve as the guardian of the workplace experience, proactively identifying the demands and requirements of the shift staff, transforming feedback into actionable initiatives that enhance operational ergonomics, engagement, and overall workplace satisfaction.
• Utilize structured 1:1 coaching sessions as the primary mechanism to discuss career path, provide performance feedback, and prepare career paths for operators and supervisors.
• Maintain full accountability for shift-level performance in Safety, Quality, Productivity, and Cost.
• Partner with the Robotics Technical team to ensure maximum equipment uptime, serving as the primary escalation point for any operational disruptions, ensuring rapid resolution to maintain data collection targets.
• Oversee complex labor planning and headcount allocation, ensuring that all team members are effectively deployed against the site's daily objectives.

Ideally, you'd have:

• Experience: 6+ years in high-volume manufacturing, automated logistics, or technical operations.
• Analytical Expertise: Advanced proficiency in operational data analysis and the use of business intelligence tools to drive informed decision-making.
• Methodological Rigor: Expert knowledge of Lean Manufacturing principles and standardized problem-solving frameworks.
• Education: Bachelor's degree in Industrial Engineering, Robotics, Mechanical/Electrical Engineering, or a related technical field; alternatively, an equivalent combination of education and extensive industry experience will be considered.
• Communication: Exceptional verbal and written communication skills in both English and Spanish, with the ability to present complex operational reports to executive leadership.

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Responsibilities:

Go-to-Market Strategy:

• Own the Go-to-Market planning process, including quarterly and annual cycles, and collaborate with Finance on target setting.
• Develop the strategy for segmenting territories and accounts.
• Identify market opportunities, assess competitive dynamics, and inform regional expansion priorities.
• Support Go-to-Market execution for alliances, focusing on co-selling, managing the partner pipeline, and facilitating joint planning.
• Analyze region-specific sales metrics and pipeline dynamics to develop proactive insights.

Cross-Functional Leadership:

• Lead collaboration across Strategy and RevOps, Sales Enablement, Strategic Finance, Product, and Marketing teams to ensure alignment.
• Prepare executive-level materials including performance reviews, strategic planning sessions, and board updates.
• Drive cross-functional alignment on go-to-market execution.

Operations & Infrastructure:

• Execute critical processes including strategic account transitions, CRM configurations, and market data management.
• Optimize the sales technology stack and ensure effective adoption of Salesforce and other sales tools.
• Ensure smooth operations across complex, multi-stakeholder sales motions typical in enterprise B2B software.

Requirements:

• 8-10+ years of experience in B2B SaaS or enterprise software, including direct experience in sales strategy, revenue operations, or commercial GTM roles
• Strong analytical capabilities with demonstrated ability to convert complex data into actionable insights
• Proven experience designing territories, setting quotas, and building variable compensation plans for enterprise sales teams
• Extensive experience with enterprise CRM systems (Salesforce required) and business intelligence tools
• Strong cross-functional skills with the ability to influence without direct authority and partner effectively with C-level stakeholders and senior sales leadership
• Experience advising or partnering with regional leadership on GTM strategy
• Business-level Japanese required; English proficiency strongly preferred

Preferred Qualifications:

• Track record of scaling sales organizations through 3x+ growth periods in B2B software
• Experience in Chief of Staff or Business Operations roles supporting regional leadership, go-to-market strategies for alliances, or consulting
• MBA or advanced degree

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You will serve as a strategic partner, shaping how we win in Australia and New Zealand while building the operational foundations to scale , and contributing to the broader APJ regional strategy.

You'll start as an individual contributor with the opportunity to build and lead a team over time as the business scales. From day one, you'll work closely with S&O counterparts across Japan, South Korea, Singapore, India, and the wider APJ region to share best practices and drive consistency across the region.

Responsibilities:

Go-to-Market Strategy:

• Own the Go-to-Market planning process for Australia/NZ, including quarterly and annual cycles, and collaborate with Finance on target setting.
• Develop the strategy for segmenting territories and accounts across ANZ, with an eye to how it fits into the broader APJ portfolio.
• Identify market opportunities, assess competitive dynamics, and inform regional expansion priorities , both within ANZ and in coordination with adjacent APJ markets.
• Support Go-to-Market execution for alliances, focusing on co-selling, managing the partner pipeline, and facilitating joint planning.
• Analyze region-specific sales metrics and pipeline dynamics to develop proactive insights, and benchmark against other APJ markets where useful.

Cross-Functional & Regional Leadership:

• Lead collaboration across Strategy and RevOps, Sales Enablement, Strategic Finance, Product, and Marketing teams to ensure alignment.
• Partner with S&O leaders across APJ (Japan, South Korea, Singapore, India, ASEAN) to align on regional standards, share insights, and drive consistency in how we operate across the region.
• Prepare executive-level materials including performance reviews, strategic planning sessions, and board updates for ANZ and APJ leadership.
• Drive cross-functional alignment on go-to-market execution across ANZ and contribute to APJ-wide initiatives.

Operations & Infrastructure:

• Execute critical processes including strategic account transitions, CRM configurations, and market data management.
• Optimize the sales technology stack and ensure effective adoption of Salesforce and other sales tools.
• Ensure smooth operations across complex, multi-stakeholder sales motions typical in enterprise B2B software.

You may be a good fit if you have:

• 15 to 18 years of experience in B2B SaaS or enterprise software, including direct experience in sales strategy, revenue operations, or commercial GTM roles
• Demonstrated knowledge of the broader APJ region, with exposure to GTM dynamics across multiple APJ markets (e.g., ANZ, Japan, South Korea, Singapore, India, ASEAN)
• Strong analytical capabilities with demonstrated ability to convert complex data into actionable insights
• Proven experience designing territories, setting quotas, and building variable compensation plans for enterprise sales teams
• Extensive experience with enterprise CRM systems (Salesforce required) and business intelligence tools
• Strong cross-functional skills with the ability to influence without direct authority and partner effectively with C-level stakeholders and senior sales leadership
• Experience advising or partnering with regional leadership on GTM strategy
• Based in Australia with working proficiency in English

Strong candidates may also have:

• Track record of scaling sales organizations through 3x+ growth periods in B2B software
• Prior people management experience, or readiness to build and lead a team as the function scales
• Experience working across multiple APJ markets or coordinating regionally distributed S&O work
• Experience in Chief of Staff or Business Operations roles supporting regional leadership, go-to-market strategies for alliances, or consulting
• MBA or advanced degree

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You will design, build, and maintain scalable data models, curated reporting tables, forecasts, and dashboards that support everyone from senior executives to individual contributors, empowering them to make informed decisions and spend more time driving customer outcomes.

Working closely with cross-functional stakeholders,including Sales, Finance, Marketing, and other data teams,you will tackle complex data challenges by leveraging structured data, building AI-powered querying assistants, and using tools like Databricks Genie to improve data accessibility, streamline insights, and deliver actionable, reliable solutions across the business.

You will also play a key role in advancing our newly created AI initiatives and semantic data curation efforts, helping to establish a strong foundation for advanced analytics, automation, and scalable business intelligence.

The Impact You Will Have:

• Build: You will design and develop analytic tools, including a semantic layer for AI use cases, scalable data models, curated tables, and insightful analyses that empower thousands of field employees and leaders worldwide.

• Architect: You will both manage the requirements gathering and lead execution of strategic analytic projects.

• Scale: You will build and manage relationships with stakeholders across the company but primarily with the GTM strategy and operations team

What we look for:

• You have 4+ years of experience working as an Analyst / Data Engineer / Analytics Engineer with B2B sales, marketing, or finance data (GTM experience highly preferred).

• You are data-savvy with 3+ years of SQL and 2+ years of Python experience. Familiarity with data ecosystems and BI tools (e.g., Databricks, PowerBI) is required.

• You have built for scale. You have experience building scalable and productionizable data models with best practices in mind.

• You integrate AI into your daily workflow. You have hands-on experience using large language model tools (such as Claude or similar) to accelerate analytics work , from drafting and debugging code to synthesizing requirements and generating documentation.

• You're comfortable evaluating AI-generated outputs critically and iterating quickly.

• You are passionate about applying AI to transform GTM teams. You bring experience in delivering AI-driven solutions and have the ability to design innovative use cases as well as structure data models and tables that are optimized for AI readiness.

• You excel in partnering with the business, understanding the impact of your work on GTM, and creating innovative solutions.

• You have a track record of cross-functional collaboration and strong stakeholder relationships.

• You excel in a collaborative environment. You translate team member needs into clear tasks and deliverables for contributors.

• You work through dependencies, bottlenecks, and tradeoffs with ease.

• You have a service-oriented mindset.

• You are curious, creative, and kind.

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.

Zone 1 Pay Range $133,000-$182,950 USD

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Mixpanel turns data clarity into innovation. Trusted by more than 29,000 companies, including Workday, Pinterest, LG, and Rakuten Viber, Mixpanel’s AI-first digital analytics help teams accelerate adoption, improve retention, and ship with confidence. Powering this is an industry-leading platform that combines product and web analytics, session replay, experimentation, feature flags, and metric trees.

About the Customer Success Team:

Mixpanel’s Customer Success & Solutions Engineering teams are analytics consultants who embed themselves within our enterprise customer teams to drive our customers’ business outcomes. We work with prospects and customers throughout the customer journey to understand what drives value and serve as the technical counterpart to our Sales organization to deliver on that value.

You will partner closely with Account Executives, Account Managers, Product, Engineering, and Support to successfully roll out self-serve analytics within our customers’ organizations, help the customer manage change, execute on technical projects and services that delight our customers, and ultimately drive ROI on the customer’s Mixpanel investment.

About the Role:

As a CSA, you will partner with customers throughout the customer journey to understand what drives value, beginning from the pre-sales running proof of concepts to demonstrate quick time to value, to post-sales onboarding and implementation, where you set customers up for long-term success with scalable implementation and data governance best practices. Throughout the entire customer lifecycle, you will work to understand how analytics can drive business value for your customers and will consult them on how to maximize the value of Mixpanel, including managing change during Mixpanel’s rollout, defining and achieving ROI, and identifying areas of improvement in their current usage of analytics.

For large enterprise customers, post onboarding, you will also continue alongside the Account Managers to drive data trust and product adoption for 100+ end user teams through a change management rollout approach.

Responsibilities:

Serve as a trusted technical advisor for prospects/customers to provide strategic consultation on data architecture, governance, instrumentation, and business outcomes

Effectively communicate at most levels of the customer’s organization to influence business outcomes via Mixpanel, design and execute a comprehensive analytics strategy, and unblock technical and organizational roadblocks

Own the customer’s success with Mixpanel , documenting and delivering ROI to the customer throughout their journey to transform their business with self-serve analytics

Own onboarding and data health for your assigned customers/projects, including ongoing enhancements to their data quality and overall tech stack integration

Engage with customers’ engineering, product management, and marketing teams to handle technical onboarding, optimize Mixpanel deployments, and improve data trust

Deliver a variety of technical services ranging from data architecture consultations to adoption and change management best practices

Leverage modern data architecture expertise to create scalable data governance practices and data trust for our customers, including data optimization and re-implementation projects

Successfully execute on success outcomes whilst balancing project timelines, scope creep, and unanticipated issues

Bridge the technical-business gap with your customers , working with business stakeholders to define a strategic vision for Mixpanel and then working with the right business and technical contacts to execute that vision

Collaborate with our technical and solutions partners as needed on data optimization and onboarding projects

Be a technical sponsor for internal engagements with Mixpanel product and engineering teams to prioritize product and systems tasks from clients

We're Looking For Someone Who Has

3 to 5 years of experience consulting on defining and delivering ROI through new tool implementations

Experience working with Director-level members of the customer organization to define a strategic vision and successfully leveraging those members to deliver on that vision

The ability to communicate with stakeholders at most levels of an organization , from talking with developers about the ins and outs of an API to talking to a Director of Data Science/Product Management about organizational efficiency

Can manage complex projects with assorted client stakeholders, working across teams and departments to execute real change

Has a demonstrated successful record of experience in customer success, client-facing professional services, consulting, or technical project management role

Excellent written, analytical, and communication skills

Strong process and/or project delivery discipline

Eager to learn new technologies and adapt to evolving customer needs

We'd Be Extra Excited For Someone Who Has

Experience in data querying, modeling, and transforming in at least one core tool, including SQL / dbt / Python / Business Intelligence tools / Product Analytics tools, etc.

Familiar with databases and cloud data warehouses like Google Cloud, Amazon Redshift, Microsoft Azure, Snowflake, Databricks, etc.

Familiar with product analytics implementation methods like SDKs, Customer Data Platforms (CDPs), Event Streaming, Reverse ETL, etc.

Familiar with analytics best practices across business segments and verticals

Benefits and Perks

Comprehensive Medical, Vision, and Dental Care

Mental Wellness Benefit

Generous Vacation Policy & Additional Company Holidays

Enhanced Parental Leave

Volunteer Time Off

Additional US Benefits: Pre-Tax Benefits including 401(K), Wellness Benefit, Holiday Break

Culture Values

Make Bold Bets: We choose courageous action over comfortable progress.

Innovate with Insight: We tackle decisions with rigor and judgment - combining data, experience and collective wisdom to drive powerful outcomes.

One Team: We collaborate across boundaries to achieve far greater impact than any of us could accomplish alone.

Candor with Connection: We build meaningful relationships that enable honest feedback and direct conversations.

Champion the Customer: We seek to deeply understand our customers’ needs, ensuring their success is our north star.

Powerful Simplicity: We find elegant solutions to complex problems, making sophisticated things accessible.

Why choose Mixpanel?

We’re a leader in analytics with over 9,000 customers and $277M raised from prominent investors: like Andreessen-Horowitz, Sequoia, YC, and, most recently, Bain Capital.

Mixpanel’s pioneering event-based data analytics platform offers a powerful yet simple solution for companies to understand user behaviors and easily track overarching company success metrics.

Our accomplished teams continuously facilitate our expansion by tackling the ever-evolving challenges tied to scaling, reliability, design, and service.

Choosing to work at Mixpanel means you’ll be helping the world’s most innovative companies learn from their data so they can make better decisions.

Mixpanel is an equal opportunity employer supporting workforce diversity.

At Mixpanel, we are focused on things that really matter,our people, our customers, our partners,out of a recognition that those relationships are the most valuable assets we have.

We actively encourage women, people with disabilities, veterans, underrepresented minorities, and LGBTQ+ people to apply.

We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, or any other protected characteristic.

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Mixpanel turns data clarity into innovation. Trusted by more than 29,000 companies, including Workday, Pinterest, LG, and Rakuten Viber, Mixpanel’s AI-first digital analytics help teams accelerate adoption, improve retention, and ship with confidence.

Powering this is an industry-leading platform that combines product and web analytics, session replay, experimentation, feature flags, and metric trees. Mixpanel delivers insights that customers trust.

Visit mixpanel.com to learn more.

About the Customer Success & Solutions Engineering Team

Mixpanel’s Customer Success & Solutions Engineering teams are analytics consultants who embed themselves within our enterprise customer teams to drive our customer’s business outcomes. We work with prospects and customers throughout the customer journey to understand what drives value and serve as the technical counterpart to our Sales organization to deliver on that value.

You will partner closely with Account Executives, Account Managers, Product, Engineering, and Support to successfully roll out self-serve analytics within our customer’s organizations, help the customer manage change, execute on technical projects and services that delight our customers and ultimately drive ROI on the customer’s Mixpanel investment.

About the Role

Our SEs are inquisitive, nimble, and able to clearly articulate the technical benefits and requirements of Mixpanel to developers and product managers, while also communicating the business value of our product to high-level executives. In your first month, you’ll become a Mixpanel expert,both in features and functionality as well as implementation. You’ll have the opportunity to shadow customer calls and demos with current Sales Engineers and Account Executives while learning to articulate our value proposition. You’ll also be trained on Mixpanel’s internal systems and tools to set you up for success.

Within your first three months, you’ll be directly involved in deal cycles with Commercial Account Executives. You’ll lead the technical qualification for customer use cases and deliver customized demos for prospects. You’ll work directly with leadership at the prospect’s organization to understand business challenges that can be solved through an analytics platform and consult on how Mixpanel can address those challenges to achieve a strong ROI. You’ll also work with the prospect’s business and technical teams to scope and execute proof-of-concept projects to establish Mixpanel’s value,including consulting on data ingestion methods, overall architecture, success criteria, and rollout strategies for analytics tools across an organization.

Responsibilities

Serve as a trusted technical advisor for prospects, providing strategic consultation on data architecture, governance, instrumentation, and business outcomes.

Communicate and consult effectively at all levels of the customer’s organization to earn trust and influence buying decisions.

Bridge the technical-business gap,working with senior stakeholders to define success for proof-of-concepts and ensuring successful execution and outcomes.

Leverage your Mixpanel expertise and technical/consultative skills to impart best practices throughout proof-of-concept projects.

Partner with Account Executives to drive revenue growth, serving as the key technical contact for customers.

Partner with post-sales teams to ensure that pre-sales value propositions translate into tangible post-sales results.

Develop relationships and uncover the needs of key technical stakeholders within your assigned book of business.

Be the “Voice of the Prospect” by collecting feedback from potential Mixpanel customers and sharing it with the Product team.

We're Looking For Someone Who Has

The ability to communicate with stakeholders at all levels,from discussing APIs with developers to organizational efficiency with CIOs.

A demonstrated track record of qualifying and selling technical solutions to executive stakeholders.

6+ years of experience in a Software-as-a-Service Sales Engineering or related role.

Experience in data querying, modeling, and transformation using tools such as SQL, dbt, Python, Business Intelligence platforms, or Product Analytics tools.

Familiarity with databases and cloud data warehouses (e.g., Google Cloud, Amazon Redshift, Microsoft Azure, Snowflake, Databricks).

A successful record of experience in sales engineering, customer success, client-facing professional services, consulting, or technical project management.

Excellent written, analytical, communication, and presentation skills.

Strong process and project delivery discipline.

The ability to travel.

Fluency in multiple languages; German preferred.

Benefits and Perks

Comprehensive Medical, Vision, and Dental Care

Mental Wellness Benefit

Generous Vacation Policy & Additional Company Holidays

Enhanced Parental Leave

Volunteer Time Off

Additional US Benefits: Pre-Tax Benefits including 401(K), Wellness Benefit, Holiday Break

Culture Values

Make Bold Bets: We choose courageous action over comfortable progress.

Innovate with Insight: We tackle decisions with rigor and judgment - combining data, experience and collective wisdom to drive powerful outcomes.

One Team: We collaborate across boundaries to achieve far greater impact than any of us could accomplish alone.

Candor with Connection: We build meaningful relationships that enable honest feedback and direct conversations.

Champion the Customer: We seek to deeply understand our customers’ needs, ensuring their success is our north star.

Why choose Mixpanel?

We’re a leader in analytics with over 9,000 customers and $277M raised from prominent investors: like Andreessen-Horowitz, Sequoia, YC, and, most recently, Bain Capital.

Mixpanel’s pioneering event-based data analytics platform offers a powerful yet simple solution for companies to understand user behaviors and easily track overarching company success metrics.

Our accomplished teams continuously facilitate our expansion by tackling the ever-evolving challenges tied to scaling, reliability, design, and service.

Choosing to work at Mixpanel means you’ll be helping the world’s most innovative companies learn from their data so they can make better decisions.

Mixpanel is an equal opportunity employer supporting workforce diversity.

At Mixpanel, we are focused on things that really matter,our people, our customers, our partners,out of a recognition that those relationships are the most valuable assets we have.

We actively encourage women, people with disabilities, veterans, underrepresented minorities, and LGBTQ+ people to apply.

We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status.

Pursuant to the San Francisco Fair Chance Ordinance or other similar laws that may be applicable, we will consider for employment qualified applicants with arrest and conviction records.

We’ve immersed ourselves in our Culture and Values as our guiding principles for the impact we want to have and the future we are building.

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We're looking for a Capital Solutions Manager to join our team and serve as the bridge between our clients and our engineering organisation. You'll take ownership of live client portfolios across Data OS and Insight OS, our data management and analytics platforms.

This isn't a back-office analytics role. You'll be client-facing from day one, owning deal relationships, translating complex structured finance requirements into engineering specs, and ensuring that every dashboard, data pipeline, and export meets institutional-grade standards.

This is an opportunity to be an early owner of a fast-growing product lines (Data OS and Insight OS) at a fast-growing platform. You'll be a co-owner of creating tech solutions for lenders and borrowers in asset backed credit. We have a strong ethos of promoting from within, and you'll be given ample opportunities for career development and advancement.

Responsibilities

• Own client portfolios end-to-end. Serve as the primary point of contact for assigned clients across Data OS and Insight OS , managing onboarding, success, and supporting growth.

• Translate our customer's structured finance needs for Engineering. Act as the bridge between our clients and our product/engineering organisation for Data OS and Insight OS. Define what needs to be built, flag what may be custom work, write the specs, review the output, and validate that dashboards and data pipelines match analytical intent.

• Own the accuracy of Setpoint's data layer across your assigned portfolio. Lead data quality assessments on incoming loan tapes and client deliverables , identifying anomalies, missing fields, and population gaps before they reach production.

• Supervise offshore implementation resources. Directly manage a team of offshore analysts supporting data ingestion, validation, and reporting workflows. Set priorities, review work product, and ensure delivery standards are met.

• Leverage AI-powered workflows and internal tooling. Use and help refine our internal AI-assisted deal workflows , from automated data quality checks to metric design and schema mapping , to accelerate delivery and improve consistency across client portfolios.

• Make us better. Contribute to product priorities, onboarding playbooks, sector templates, and process documentation that make our delivery engine repeatable as the portfolio grows.

Requirements

• 3–6 years in private credit, asset-backed lending, or structured finance. You've worked with loan tapes, servicer reports, borrowing base certificates, or compliance packages , not just in theory, but hands-on. Experience across multiple asset classes (consumer, auto, fund finance, CRE) is a strong plus.

• Demonstrated client management experience. You've owned client relationships , running calls, managing expectations, resolving issues , in a professional services, advisory, or platform context. You're comfortable being the face of the company to institutional investors and lenders.

• Strong analytical and data skills. Expert-level Excel is baseline. Comfort with SQL, Python, data pipelines, or business intelligence tools (Metabase, Tableau, etc.) is highly valued. You don't need to write production code, but you should be able to read a data schema, trace a metric back to its source field, and spot when something doesn't add up.

• Experience writing technical specifications or engineering handoff documents. You've translated business requirements into structured artifacts , field mappings, data dictionaries, logic definitions, or acceptance criteria , that a technical team can execute against.

• Comfort with AI/LLM tooling and automation. You don't need to be an AI engineer, but you should be excited about using AI-assisted workflows to accelerate data analysis, quality checks, and specification writing. Familiarity with prompt engineering or AI copilot tools is a plus.

• Team supervision experience. You've managed or coordinated the work of junior analysts, offshore teams, or cross-functional workstreams. You can set priorities, review deliverables, and maintain quality without micromanaging.

• Ability to operate independently in ambiguous environments. You can take a vague client request, figure out what's actually needed, scope the work, and deliver , without someone laying out every step. You handle tight timelines and competing priorities without losing quality.

Benefits

We offer a comprehensive benefits package that includes competitive salaries, stock options, medical, dental, and vision coverage, 401(k), short term and long term disability coverage, and flexible vacation. We have offices in Austin, TX, New York City, NY, and Salt Lake City, UT with hybrid roles based in these locations and an expectation of two days a week in office (Tuesdays and Thursdays).

Compensation

$140,000 - $160,000 dependent on multiple factors, which may include the successful candidate's skills, experience and other qualifications.

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As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.

Long-term, you will be the subject matter expert responsible for architecting and scaling our enterprise integration landscape. This is a high-impact role for someone who thrives on solving complex data challenges and wants to build the operational foundation that enables Anduril to scale its mission.

Key Responsibilities:

• Stabilize & Optimize: Dive deep into existing Oracle Fusion ERP integrations across manufacturing, supply chain, finance, and engineering systems. Diagnose root causes of instability, re-architect weak points, and implement robust error handling and monitoring to achieve mission-critical reliability.

• Architect & Build: Design and develop new, scalable enterprise integrations using Oracle Integration Cloud (OIC). Translate complex business requirements for product data, multi-level Bills of Material (BOMs), procurement, inventory, work orders, and financial transactions into resilient and efficient integration flows.

• Own the Integration Lifecycle: Manage the end-to-end process from design and development through testing (unit, SIT, UAT) and deployment, utilizing CI/CD best practices. Proactively tune and maintain integrations to ensure peak performance as data volumes grow.

• Ensure Data Integrity: Become the trusted expert on data transformation and mapping between systems. Implement rigorous validation and reconciliation logic to guarantee that our enterprise data is flawless across all systems.

• Collaborate & Influence: Act as the key technical partner to our ERP, Manufacturing, Supply Chain, and Finance teams. Clearly articulate technical designs, trade-offs, and progress to both engineering peers and business stakeholders, guiding them toward best-practice integration patterns.

• Leverage Modern Oracle Cloud Tools: Utilize Oracle Visual Builder Cloud Service (VBCS) where appropriate to build lightweight user interfaces that enhance integration workflows, data validation, or operational dashboards.

Requirements:

• 5+ years of hands-on experience developing complex integrations with deep specialization in Oracle Integration Cloud (OIC), specifically Oracle Integration 3.

• Proven experience integrating Oracle Fusion Cloud ERP with upstream and downstream enterprise systems (e.g., PLM, MES, WMS, CRM, third-party applications), including deep familiarity with ERP data objects such as Items, BOMs, Suppliers, Purchase Orders, Work Orders, Inventory Transactions, and Financial data.

• Expert-level proficiency in OIC 3 components: Application and Tech Adapters (REST, SOAP, File, FTP, Oracle SaaS, Database), Connections, Mappings, Lookups, Error Handling, and JavaScript.

• Strong command of XSLT, XPath, and complex data mapping for transforming large and nested XML/JSON payloads.

• Demonstrable experience building, securing, and consuming RESTful APIs and SOAP web services.

• Excellent SQL skills and a solid understanding of relational database concepts.

• Experience with Oracle Fusion ERP modules such as SCM (Supply Chain Management), Manufacturing, Procurement, or Financials.

• A tenacious problem-solver with a track record of troubleshooting, debugging, and stabilizing complex, business-critical systems.

Preferred Qualifications:

• Hands-on experience with Oracle Visual Builder Cloud Service (VBCS) for building user interfaces and extensions.

• Experience with Oracle Business Intelligence Cloud Connector (BICC) for high-volume data extraction from Fusion ERP.

• Experience with Oracle Cloud Infrastructure (OCI) services (e.g., Functions, API Gateway, Object Storage, Logging, Autonomous Database).

• Experience integrating PLM systems (e.g., Teamcenter, Windchill, Arena) with Oracle Fusion ERP.

• Familiarity with Git-based source control and CI/CD pipelines for integration deployments.

• Experience in a discrete manufacturing environment.

• Knowledge of other programming languages (e.g., Python, Groovy, Java).

• Relevant Oracle Cloud Certifications (e.g., OIC 3 Application Integration Professional, Oracle Fusion Cloud certifications).

Salary Range: $129,000-$171,000 USD

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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.

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Your primary responsibility will be to lead architecture reviews and set analytical standards. You will own the strategy, technical architecture, and governance model for platforms that make key business metrics consistent, trustworthy, and easy to query at scale. You will also be responsible for owning the hardest cross-cutting analytical problems, driving org-wide data quality and consistency, and shaping long-term technical vision.

To succeed in this role, you will need to have 10+ years of experience in Data Analysis, Analytics Engineering, Business Intelligence Engineering, or Data Science roles, with deep expertise in SQL and familiarity with AI-assisted development tools. You will also need to have a proven track record of setting long-term technical vision for analytics platforms and experience leading cross-team or org-wide data initiatives.

As a Staff Data Analyst at Stripe, you will have the opportunity to work with a talented team of data analysts, data scientists, and engineers to build and maintain a robust analytics infrastructure that supports business growth and decision-making.

If you are a motivated and experienced data professional looking for a challenging role with a high-growth company, we encourage you to apply.

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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.

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

The Data organization develops insights, models, and data infrastructure for teams across Brex, including Sales, Marketing, Product, Engineering, and Operations.

Our Data Scientists, Analysts, and Engineers work together to make data,and insights derived from data,a core asset across the company.

What you’ll do

As a Data Analyst II (DA), you will play a central role in enhancing the operational tracking and reporting capabilities of different business teams across Brex.

You will work closely with Data Scientists, Data Engineers, and partner teams to drive meaningful insights for the business through visualizations, self-service tools, and ad-hoc analyses.

This is a high-impact role in a fast-paced fintech environment where your work will directly influence strategic decisions.

Where you’ll work

This role will be based in our New York 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 three coordinated days in the office per week, Monday, Wednesday and Thursday.

As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

Apply data visualization and storytelling skills in creating business intelligence solutions (such as Looker and/or Hex dashboards) that enable actionable insights.

Perform ad-hoc analyses and deep dives to investigate business questions, surface trends, and provide data-driven recommendations.

Develop self-service data tools and processes that empower business stakeholders to independently monitor the performance and health of their respective areas.

Collaborate closely with Data Scientists and Data Engineers to identify data sources, enable data pipelines, and support the development of analytical data models that operationalize reports and dashboards.

Implement and maintain rigorous data quality checks to ensure the integrity and robustness of datasets used across dashboards, reports, and analyses.

Partner with various departments,including Sales, Operations, Product, and Finance,to understand their data needs and deliver tailored analyses and reporting that support strategic planning.

Contribute to the automation of recurring analyses and reporting workflows using Python.

Requirements

3+ years of experience in data analytics or a related role in a professional setting.

2+ years of experience working directly with Sales, Operations, Product, or equivalent business teams.

Fluency in SQL to manipulate data and perform complex analyses (CTEs, window functions, joins across large datasets).

Experience with Python for data analysis, automation, or scripting.

Experience with business intelligence and data visualization tools (Looker, Hex, Tableau, or similar).

Strong quantitative and analytical skills with a demonstrated ability to translate data into business insights.

Strong communication skills and the ability to work effectively with stakeholders across different functions and levels of technical fluency.

Experience with generative AI and LLM-based tools (Claude Code, Cursor, GitHub Copilot) to perform and accelerate analyses, automated reporting, and build self-service data tools.

Bonus points

Familiarity with cloud data platforms (e.g., Snowflake, BigQuery, Databricks).

Familiarity with dbt for data modeling and transformation.

Exposure to data pipeline orchestration tools (e.g., Airflow).

Experience in fintech, financial services, or payments.

Comfort operating in a fast-paced, high-growth environment with evolving priorities.

Compensation

The expected salary range for this role is $93,600 - $117,000.

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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You will serve as a trusted advisor and operational force multiplier, bringing deep B2B SaaS expertise to help teams achieve revenue targets while building scalable frameworks that drive industry-specific customer success.

Key responsibilities include:

• Developing go-to-market strategies, motions, country/region prioritisation and sector focus and strategy

• Identifying industry customer needs, pain points etc. and sharing feedback cross-functionally to guide solution building across global teams

• Building and maintaining industry-specific value propositions, use cases, and sales playbooks

• Driving territory and account segmentation strategies based on industry characteristics and opportunity

• Establishing industry benchmarks and best practices to guide sales approach and prioritization

• Working with Finance on target setting, planning and bottom-up modeling

• Developing comprehensive industry frameworks that standardize how customers in each vertical derive value from our solutions

• Driving quarterly, semi-annual, and annual planning cycles for industry-focused GTM segments

• Analyzing industry-specific sales metrics and pipeline dynamics to develop proactive insights

• Partnering with Account Executives to evolve sales motions and industry best practices based on vertical nuances

• Continuously evaluating market opportunities, competitive positioning, and whitespace within target industries

• Leading collaboration across Strategy and RevOps, Sales Enablement, Strategic Finance, Product, and Marketing teams to ensure industry alignment

• Working with Product teams to communicate industry-specific feature requirements and market feedback

• Preparing executive-level materials including industry performance reviews, strategic planning sessions, and board updates

• Driving alignment across teams to ensure consistent execution of industry-specific go-to-market strategies

• Partnering with Marketing on industry-focused campaigns, events, and thought leadership initiatives

• Removing operational bottlenecks specific to complex industry sales cycles and compliance requirements

• Executing critical processes including strategic account transitions, industry-specific CRM configurations, and vertical market data management

• Optimizing sales technology stack and ensuring effective adoption of Salesforce and other sales tools

• Establishing sales process methodology, qualification criteria, and stage definitions for consistent execution

• Ensuring smooth operations across complex, multi-stakeholder sales motions typical in enterprise B2B software

The ideal candidate will have:

• 10+ years of experience in B2B SaaS or enterprise software, with focus on sales strategy, revenue operations, industry consulting, or commercial roles

• Deep expertise in one or more enterprise industry verticals with proven track record of driving growth in those markets

• Strong analytical capabilities with demonstrated ability to convert complex industry data into actionable insights and strategy

• Direct experience in commercial GTM roles selling or supporting sales of B2B software solutions to enterprise customers

• Proven experience designing territories, setting quotas, and building variable compensation plans for enterprise sales teams

• Track record of building sales capacity models, productivity frameworks, and headcount planning processes

• Extensive experience with enterprise CRM systems (Salesforce required) and business intelligence tools

• Proven ability to influence and partner with C-level stakeholders and senior sales leadership

• Track record of developing industry-specific frameworks, sales plays, and value propositions

• Bachelor's degree in business, economics, or related field

Strong candidates may also have:

• Experience at high-growth B2B SaaS companies, particularly in industry-focused GTM or vertical sales roles

• Background in AI/ML, cloud infrastructure, or enterprise software companies serving multiple industries

• Track record of scaling sales organizations through 3x+ growth periods in B2B software

• MBA or advanced degree

• Experience building industry-specific go-to-market motions from scratch

• Direct enterprise sales or sales engineering experience in complex, multi-stakeholder environments

• Experience with emerging technologies (AI, ML) in enterprise contexts

• Management consulting experience with focus on industry strategy or commercial excellence

Annual compensation range for this role is €140,000-€200,000 EUR.

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Stabilize & Optimize: Dive deep into existing Oracle Fusion ERP integrations across manufacturing, supply chain, finance, and engineering systems. Diagnose root causes of instability, re-architect weak points, and implement robust error handling and monitoring to achieve mission-critical reliability.

Architect & Build: Design and develop new, scalable enterprise integrations using Oracle Integration Cloud (OIC). Translate complex business requirements for product data, multi-level Bills of Material (BOMs), procurement, inventory, work orders, and financial transactions into resilient and efficient integration flows.

Own the Integration Lifecycle: Manage the end-to-end process from design and development through testing (unit, SIT, UAT) and deployment, utilizing CI/CD best practices. Proactively tune and maintain integrations to ensure peak performance as data volumes grow.

Ensure Data Integrity: Become the trusted expert on data transformation and mapping between systems. Implement rigorous validation and reconciliation logic to guarantee that our enterprise data is flawless across all systems.

Collaborate & Influence: Act as the key technical partner to our ERP, Manufacturing, Supply Chain, and Finance teams. Clearly articulate technical designs, trade-offs, and progress to both engineering peers and business stakeholders, guiding them toward best-practice integration patterns.

Leverage Modern Oracle Cloud Tools: Utilize Oracle Visual Builder Cloud Service (VBCS) where appropriate to build lightweight user interfaces that enhance integration workflows, data validation, or operational dashboards.

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This is a foundational and transformational role at a pivotal moment for CoreWeave, as we scale our revenue operations infrastructure to support our trajectory as a newly public AI hyperscaler. Following our 2025 IPO and accelerated growth trajectory, we are in search of a world-class RevOps leader who can build enterprise-grade operational rigor while maintaining the Startup mindset, agility, and innovation that defines CoreWeave.

The ideal candidate will transform revenue operations from a supporting function into a strategic growth driver, creating the data foundation, process excellence, and operational insights that enable our sales, marketing, customer success, support, field engineering, and partner teams to execute at peak performance. As an AI-native company, we expect you will lead us into an AI-first strategy to create a next-generation AI-driven RevOps function to harness and implement innovation throughout our global field organization.

The successful candidate will be a proven revenue operations executive with deep expertise in scaling high-growth technology companies, building world-class revenue operations platforms, and partnering with sales leadership to drive measurable business outcomes. You will have demonstrated success implementing sophisticated revenue operations frameworks, leading large global teams, and establishing data-driven cultures that turn insights into action. Your experience spans the full revenue operations stack,from CRM architecture and sales automation to forecasting methodologies, territory optimization, compensation design, and revenue analytics.

This role uniquely combines strategic leadership with hands-on operational excellence. You will define CoreWeave's revenue operations strategy, build and lead a global team of revenue operations professionals, establish our RevOps technology stack and data architecture, create scalable processes that drive efficiency while maintaining growth, and deliver the analytics and insights that inform executive decision-making. You will be the operational partner to our Chief Revenue Officer and go-to-market leadership, ensuring we have the infrastructure, insights, and execution to achieve our ambitious revenue targets while maintaining the flexibility to adapt as markets and opportunities evolve.

Strategy & Vision Define and execute CoreWeave's global revenue operations strategy, establishing world-class operational rigor, process excellence, and data infrastructure that enables predictable, scalable revenue growth. Build comprehensive revenue operations capabilities spanning sales operations, sales strategy, sales enablement, revenue analytics, sales compensation, territory management, and forecasting,creating an integrated operational framework that drives efficiency and effectiveness across the entire revenue organization. Design and implement CoreWeave's revenue technology stack, selecting, integrating, and optimizing CRM, sales engagement, revenue intelligence, forecasting, compensation, and analytics platforms that create a single source of truth for revenue data and enable seamless execution. Leverage AI to fundamentally build a next-gen RevOps center of excellence. Lead ongoing integrations of acquisitions made by the company. Establish data-driven forecasting methodologies and revenue analytics frameworks that provide executive leadership with accurate, real-time visibility into pipeline health, revenue performance, and growth trajectories across segments, products, and geographies. Partner with CRO and go-to-market leadership to develop strategic territory plans, quota allocation models, capacity planning frameworks, and resource deployment strategies that optimize coverage, maximize revenue potential, and drive efficient growth. Design and implement sales compensation programs that align with corporate objectives, drive desired behaviors, and attract and retain top sales talent, including variable compensation structures, accelerators, SPIFs, and performance-based incentives. Establish robust revenue governance frameworks, including deal desk operations, pricing and discount approval workflows, contract review processes, SOX compliance, and commercial risk management that balance growth velocity with operational discipline. Create sophisticated revenue analytics and business intelligence capabilities, delivering executive dashboards, pipeline analytics, win/loss analysis, sales productivity metrics, and strategic insights that inform decision-making and drive continuous improvement. Drive operational excellence through continuous process optimization, automation of manual workflows, elimination of friction in revenue processes, and implementation of best practices that enable the sales organization to focus on selling. Recruit, develop, and lead a world-class global revenue operations organization, including sales operations, sales strategy, enablement, compensation, and analytics teams, building a high-performance culture of operational excellence and strategic partnership with the go-to-market organization. Serve as the strategic thought partner to the CRO and executive leadership team, providing data-driven insights, scenario modeling, and operational recommendations that inform strategic decisions on market expansion, product prioritization, and go-to-market investments.

Who You Are: Minimum 15+ years of progressive experience in revenue operations, sales operations, or sales leadership roles, with at least 8 years in senior revenue operations leadership positions. Proven track record building and scaling revenue operations functions in high-growth B2B technology companies, ideally with experience supporting organizations generating $500M+ in annual revenue. Demonstrated success implementing and optimizing enterprise CRM platforms (Salesforce expertise required), revenue intelligence tools, sales engagement platforms, and revenue analytics solutions at scale. Deep expertise in sales forecasting methodologies, pipeline management frameworks, revenue recognition principles, and financial planning processes that drive accurate revenue predictability. Extensive experience designing sales compensation plans, quota methodologies, territory models, and capacity planning frameworks for complex sales organizations with multiple segments and product lines. Strong background in data analytics, business intelligence, and revenue reporting, with ability to translate complex data into actionable insights and executive-ready presentations. Track record of building and leading high-performing global revenue operations teams, including experience managing teams across multiple geographies and time zones. Experience supporting enterprise sales.

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To succeed in this role, you will need to have exceptional communication skills, both written and verbal, with the ability to present complex information clearly and concisely to diverse audiences. You should be comfortable navigating ambiguity, framing analytical problems, and taking ownership of cross-functional projects from start to finish. You will also need to have an aptitude for rapid learning and assimilating new information to swiftly become proficient in unfamiliar subject areas and technologies.

In terms of qualifications, you should have 4-10 years of varied experience in an operating role at a high-growth technology company, starting a venture, or in finance or consulting. You must also be eligible to hold a US Top Secret clearance.

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Your responsibilities will include designing, building, and maintaining high-visibility Tableau dashboards and reporting assets that provide actionable insights to business partners across the global organisation. You will also build and optimise production-grade data sets in Snowflake, ensuring that all field data (Pipeline, Bookings, Productivity) is clean, structured, and easily accessible for self-service analysis.

In addition, you will take ownership of the technical documentation for all GTM reporting assets, ensuring data lineage, metric definitions, and logic are clearly defined and accessible. You will also champion the use of Generative AI tools to accelerate the analytics lifecycle, including automating SQL query generation, streamlining data preparation, and enhancing report documentation.

To succeed in this role, you will need to have 5+ years of professional experience in Data Analytics or Business Intelligence, ideally within a global delivery model. You will also need to have technical stack expertise in SQL (Snowflake), BI visualisation tool (Tableau), and CRM data (Salesforce).

Preferred qualifications include proficiency with scripting (python) & data modelling (dbt), deep understanding of enterprise software sales processes, field operations, and cross-functional GTM mechanics.

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You will be tasked with stabilizing, optimizing, and making them exceptionally robust. Long-term, you will be the subject matter expert responsible for architecting and scaling our enterprise integration landscape. This is a high-impact role for someone who thrives on solving complex data challenges and wants to build the operational foundation that enables Anduril to scale its mission.

Stabilize & Optimize: Dive deep into existing Oracle Fusion ERP integrations across manufacturing, supply chain, finance, and engineering systems. Diagnose root causes of instability, re-architect weak points, and implement robust error handling and monitoring to achieve mission-critical reliability.

Architect & Build: Design and develop new, scalable enterprise integrations using Oracle Integration Cloud (OIC). Translate complex business requirements for product data, multi-level Bills of Material (BOMs), procurement, inventory, work orders, and financial transactions into resilient and efficient integration flows.

Own the Integration Lifecycle: Manage the end-to-end process from design and development through testing (unit, SIT, UAT) and deployment, utilizing CI/CD best practices. Proactively tune and maintain integrations to ensure peak performance as data volumes grow.

Ensure Data Integrity: Become the trusted expert on data transformation and mapping between systems. Implement rigorous validation and reconciliation logic to guarantee that our enterprise data is flawless across all systems.

Collaborate & Influence: Act as the key technical partner to our ERP, Manufacturing, Supply Chain, and Finance teams. Clearly articulate technical designs, trade-offs, and progress to both engineering peers and business stakeholders, guiding them toward best-practice integration patterns.

Leverage Modern Oracle Cloud Tools: Utilize Oracle Visual Builder Cloud Service (VBCS) where appropriate to build lightweight user interfaces that enhance integration workflows, data validation, or operational dashboards.

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In this role, you'll be working within an assigned book of business to retain our highest spend enterprise customers, while looking for opportunities to expand their relationships through cross-sell and upsell.

You'll thrive in a growing organization with exciting career growth opportunities. Collaborate with a team of driven individuals in a supportive environment, sell exciting products that clients truly value, and enjoy competitive compensation with unlimited earning potential.

Key Responsibilities:

• Manage six-figure renewals and drive cross-sell opportunities to expand business within existing client organizations.

• Own a book of business comprising ~25 accounts with an employee headcount over 1,000.

• Increase spend into these accounts to grow them via off-cycle upsell with deal sizes ranging $100K-$500K+ ACV.

• Identify new business opportunities within existing clients using referrals, prospecting into white space and utilizing established relationships.

• Conduct compelling online product demos to showcase the power of ZoomInfo.

• Work collaboratively with an entire team of internal resources to navigate complex use cases and ensure tight alignment with customers on how ZoomInfo can help them achieve their business objectives.

Requirements:

• 4+ years of successful sales within Enterprise sized accounts, with a proven track record of exceeding quotas.

• Ability to quickly qualify opportunities and build strong client relationships.

• Proficient in delivering a compelling message and conversing with all levels of decision makers.

• Experience in transactional and Enterprise solution selling.

• Experience closing six-figure deals to Enterprise companies utilizing value selling frameworks and MEDDIC methodology.

• Confidence working with and selling to C-Level executives and navigating multiple business stakeholders throughout sales cycle.

• Strong organizational skills, attention to detail, high energy, and a 'can-do' attitude.

• Self-discipline and motivation to work independently.

• Knowledge of the business intelligence market and CRM tools preferred.

• Sales and lead development training recommended.

What's In It For You:

• Top notch tech stack

• Market leading product offering

• ERG (Employee Resource Groups) to foster a diverse, inclusive workplace

• Benefits to Help You Thrive

• Comprehensive Medical, Dental, Vision

• Eligibility for Future Equity Awards

• 401k Matching (50% of the first 7% of your contribution)

• 12 weeks Parental Leave for primary caregivers, 4 weeks for secondary caregivers

• Family forming benefits up to $20k, plus discounts on a Care.com membership

• Virgin Pulse Wellness Program

LPARAMENT Benefits:

• Optional add-ons such as pet insurance, legal service support, and more!

This role is a hybrid in-office position, with an expectation of 3 days in office and 2 days at home. Remote is available for those not located near an office.

The US base salary range for this position is $126,000 - $143,000 + variable compensation + benefits. ($220,000 - $260,000 OTE (on target earnings)).

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In this role, you'll build business intelligence solutions, define and maintain product key performance indicators, and turn usage data into insights that support strategic decisions. This role focuses on GitLab's Platforms sections, an important area that helps ensure GitLab's infrastructure can scale over time. You'll also support our Dedicated offering by exploring usage and behavioural patterns across that deployment type.

In GitLab's all-remote, asynchronous environment, you'll contribute to a transparent, values-driven culture where data storytelling helps teams understand product health and act with confidence.

Responsibilities:

• Collaborate with stakeholders ranging from individual contributor Product Managers to leadership to understand business questions and define the right analytical approach.
• Gather data from multiple sources and connect disparate data points into a clear story about product usage, customer behaviour, and product health.
• Establish reporting for new products and features, including defining metrics and building repeatable analysis that teams can use to track adoption and performance.
• Analyze usage patterns within GitLab's Platforms sections to help teams understand how this area is performing and where improvements may be needed.
• Explore behavioural trends for the Dedicated offering to surface insights that can inform product decisions and the customer experience.
• Partner with UX to better understand user behaviour and support research with quantitative analysis.
• Work with Engineering teams on data collection and instrumentation approaches so product usage can be measured accurately and consistently.
• Collaborate with Analytics Engineers on data modelling needs for reporting and analysis, helping ensure the underlying data supports reliable decision-making.

Requirements:

• Advanced SQL skills and the ability to use data to answer complex product questions with clarity and accuracy.
• Experience building business intelligence visualisations and dashboards, ideally in Tableau or a similar tool.
• Experience working directly with Product and Engineering teams on data creation, instrumentation, and measurement strategy.
• Experience partnering with Data and Analytics Engineering teams to shape data models for reporting and product analysis.
• Strong analytical thinking and the ability to turn product usage data into practical recommendations for stakeholders at different levels.
• Experience conducting and interpreting A/B tests to evaluate product changes and support evidence-based decisions.
• Clear written and verbal communication skills, with the ability to explain complex findings in simple language.
• Comfort working in an all-remote, asynchronous environment and collaborating effectively across functions while staying aligned with GitLab's values.

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Stabilize & Optimize: Dive deep into existing Oracle Fusion ERP integrations across manufacturing, supply chain, finance, and engineering systems. Diagnose root causes of instability, re-architect weak points, and implement robust error handling and monitoring to achieve mission-critical reliability.

Architect & Build: Design and develop new, scalable enterprise integrations using Oracle Integration Cloud (OIC). Translate complex business requirements for product data, multi-level Bills of Material (BOMs), procurement, inventory, work orders, and financial transactions into resilient and efficient integration flows.

Own the Integration Lifecycle: Manage the end-to-end process from design and development through testing (unit, SIT, UAT) and deployment, utilizing CI/CD best practices. Proactively tune and maintain integrations to ensure peak performance as data volumes grow.

Ensure Data Integrity: Become the trusted expert on data transformation and mapping between systems. Implement rigorous validation and reconciliation logic to guarantee that our enterprise data is flawless across all systems.

Collaborate & Influence: Act as the key technical partner to our ERP, Manufacturing, Supply Chain, and Finance teams. Clearly articulate technical designs, trade-offs, and progress to both engineering peers and business stakeholders, guiding them toward best-practice integration patterns.

Leverage Modern Oracle Cloud Tools: Utilize Oracle Visual Builder Cloud Service (VBCS) where appropriate to build lightweight user interfaces that enhance integration workflows, data validation, or operational dashboards.

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You will be tasked with stabilizing, optimizing, and making them exceptionally robust. Long-term, you will be the subject matter expert responsible for architecting and scaling our enterprise integration landscape. This is a high-impact role for someone who thrives on solving complex data challenges and wants to build the operational foundation that enables Anduril to scale its mission.

The successful candidate will have 5+ years of hands-on experience developing complex integrations with deep specialization in Oracle Integration Cloud (OIC), specifically Oracle Integration 3. They will have proven experience integrating Oracle Fusion Cloud ERP with upstream and downstream enterprise systems, including deep familiarity with ERP data objects such as Items, BOMs, Suppliers, Purchase Orders, Work Orders, Inventory Transactions, and Financial data.

Key responsibilities will include stabilizing and optimizing existing Oracle Fusion ERP integrations, architecting and building new enterprise integrations using Oracle Integration Cloud, owning the integration lifecycle, ensuring data integrity, collaborating and influencing with cross-functional teams, and leveraging modern Oracle Cloud tools.

The ideal candidate will have excellent SQL skills, a strong command of XSLT, XPath, and complex data mapping, demonstrable experience building, securing, and consuming RESTful APIs and SOAP web services, and experience with Oracle Fusion ERP modules such as SCM (Supply Chain Management), Manufacturing, Procurement, or Financials.

A tenacious problem-solver with a track record of troubleshooting, debugging, and stabilizing complex, business-critical systems, the successful candidate will be highly motivated, with a passion for delivering high-quality solutions and a commitment to continuous learning and improvement.

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Working in Snowflake, dbt, Tableau, and VS Code, you'll turn ambiguous business questions into trusted, well-documented data products that serve as a single source of truth for performance and targets versus actuals. You'll also help improve our Enterprise Analytics handbook and core data foundations so strategy, processes, and metric definitions are clear and usable in our all-remote, values-driven environment.

Responsibilities:

• Build and maintain executive-facing scorecards, go-to-market performance views, and new-customer reporting that connect pipeline, bookings, and product usage signals into targets-versus-actuals tracking by motion.

• Design performant, reusable Tableau Cloud data sources and help shape the underlying dbt models so reporting layers are stable, governed, and aligned to single-source-of-truth patterns.

• Collaborate with Analytics Engineering and Data Engineering to improve dbt models that support reliable, scalable reporting for business stakeholders.

• Document metric logic, data lineage, and Tableau usage patterns in the handbook so stakeholders can understand how data products are built and used.

• Implement and monitor data quality checks and reconciliations across Snowflake, Salesforce, and other go-to-market systems to strengthen trust in company-level reporting.

• Partner with Revenue Operations, Finance, and go-to-market analysts and stakeholders to define questions, align on metric definitions and pacing logic, and deliver dashboards and deep-dive analyses.

• Present insights in a clear, actionable way for both operational and executive audiences so teams can make better decisions faster.

• Share best practices in SQL, data visualization, and go-to-market analytics, including code reviews and pairing support on high-priority dashboards.

Requirements:

• Strong analytical skills with the ability to frame ambiguous business questions, structure analysis, and translate findings into clear recommendations for go-to-market and executive stakeholders.

• Advanced SQL skills working with large, complex data models, preferably in Snowflake, including joining many tables and building reusable queries and views.

• Proven experience building executive-facing dashboards in Tableau or a similar business intelligence tool, including data source design, performance tuning, and visualization best practices.

• Deep understanding of go-to-market concepts such as new-customer and first-order metrics, pipeline, bookings, Net ARR, go-to-market motions, sales segments, and marketing funnel metrics.

• Strong command of GenAI tools for daily use in your work and the judgment to use them effectively to improve speed and quality.

• Ability to communicate complex analyses in a clear, concise way through presentations, written narratives, and data visualizations for both technical and non-technical audiences.

• Comfort working in an all-remote, asynchronous environment, with a high level of ownership and the ability to drive work forward independently.

• Alignment with GitLab's values and openness to applying transferable skills from related analytics, revenue operations, or business intelligence roles.

• Experience with dbt and modern analytics engineering patterns, including trusted marts, certified sources, and documented lineage, is helpful but not required.

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As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.

The successful candidate will have 5+ years of hands-on experience developing complex integrations with deep specialization in Oracle Integration Cloud (OIC), specifically Oracle Integration 3. They will be responsible for stabilizing, optimizing, and making our existing Oracle Fusion ERP integrations exceptionally robust. Long-term, they will be the subject matter expert responsible for architecting and scaling our enterprise integration landscape.

Key responsibilities include:

• Stabilize & Optimize: Dive deep into existing Oracle Fusion ERP integrations across manufacturing, supply chain, finance, and engineering systems.
• Architect & Build: Design and develop new, scalable enterprise integrations using Oracle Integration Cloud (OIC).
• Own the Integration Lifecycle: Manage the end-to-end process from design and development through testing (unit, SIT, UAT) and deployment, utilizing CI/CD best practices.
• Ensure Data Integrity: Become the trusted expert on data transformation and mapping between systems.
• Collaborate & Influence: Act as the key technical partner to our ERP, Manufacturing, Supply Chain, and Finance teams.

The ideal candidate will have a strong command of XSLT, XPath, and complex data mapping for transforming large and nested XML/JSON payloads. They will also have excellent SQL skills and a solid understanding of relational database concepts.

In addition to the required qualifications, preferred qualifications include hands-on experience with Oracle Visual Builder Cloud Service (VBCS) for building user interfaces and extensions, experience with Oracle Business Intelligence Cloud Connector (BICC) for high-volume data extraction from Fusion ERP, and experience integrating PLM systems (e.g., Teamcenter, Windchill, Arena) with Oracle Fusion ERP.

US Salary Range $126,000-$167,000 USD

The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package.

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You will serve as a strategic partner, shaping how we win in Australia and New Zealand while building the operational foundations to scale , and contributing to the broader APJ regional strategy.

You'll start as an individual contributor with the opportunity to build and lead a team over time as the business scales. From day one, you'll work closely with S&O counterparts across Japan, South Korea, Singapore, India, and the wider APJ region to share best practices and drive consistency across the region.

Responsibilities:

Go-to-Market Strategy:

• Own the Go-to-Market planning process for Australia/NZ, including quarterly and annual cycles, and collaborate with Finance on target setting.
• Develop the strategy for segmenting territories and accounts across ANZ, with an eye to how it fits into the broader APJ portfolio.
• Identify market opportunities, assess competitive dynamics, and inform regional expansion priorities , both within ANZ and in coordination with adjacent APJ markets.
• Support Go-to-Market execution for alliances, focusing on co-selling, managing the partner pipeline, and facilitating joint planning.
• Analyze region-specific sales metrics and pipeline dynamics to develop proactive insights, and benchmark against other APJ markets where useful.

Cross-Functional & Regional Leadership:

• Lead collaboration across Strategy and RevOps, Sales Enablement, Strategic Finance, Product, and Marketing teams to ensure alignment.
• Partner with S&O leaders across APJ (Japan, South Korea, Singapore, India, ASEAN) to align on regional standards, share insights, and drive consistency in how we operate across the region.
• Prepare executive-level materials including performance reviews, strategic planning sessions, and board updates for ANZ and APJ leadership.
• Drive cross-functional alignment on go-to-market execution across ANZ and contribute to APJ-wide initiatives.

Operations & Infrastructure:

• Execute critical processes including strategic account transitions, CRM configurations, and market data management.
• Optimize the sales technology stack and ensure effective adoption of Salesforce and other sales tools.
• Ensure smooth operations across complex, multi-stakeholder sales motions typical in enterprise B2B software.

You may be a good fit if you have:

• 15 to 18 years of experience in B2B SaaS or enterprise software, including direct experience in sales strategy, revenue operations, or commercial GTM roles
• Demonstrated knowledge of the broader APJ region, with exposure to GTM dynamics across multiple APJ markets (e.g., ANZ, Japan, South Korea, Singapore, India, ASEAN)
• Strong analytical capabilities with demonstrated ability to convert complex data into actionable insights
• Proven experience designing territories, setting quotas, and building variable compensation plans for enterprise sales teams
• Extensive experience with enterprise CRM systems (Salesforce required) and business intelligence tools
• Strong cross-functional skills with the ability to influence without direct authority and partner effectively with C-level stakeholders and senior sales leadership
• Experience advising or partnering with regional leadership on GTM strategy
• Based in Australia with working proficiency in English

Strong candidates may also have:

• Track record of scaling sales organizations through 3x+ growth periods in B2B software
• Prior people management experience, or readiness to build and lead a team as the function scales
• Experience working across multiple APJ markets or coordinating regionally distributed S&O work
• Experience in Chief of Staff or Business Operations roles supporting regional leadership, go-to-market strategies for alliances, or consulting
• MBA or advanced degree

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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.

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

The Data organization develops insights, models, and data infrastructure for teams across Brex, including Sales, Marketing, Product, Engineering, and Operations.

Our Data Scientists, Analysts, and Engineers work together to make data,and insights derived from data,a core asset across the company.

What you’ll do

As a Data Analyst II (DA), you will play a central role in enhancing the operational tracking and reporting capabilities of different business teams across Brex.

You will work closely with Data Scientists, Data Engineers, and partner teams to drive meaningful insights for the business through visualizations, self-service tools, and ad-hoc analyses.

This is a high-impact role in a fast-paced fintech environment where your work will directly influence strategic decisions.

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 three coordinated days in the office per week, Monday, Wednesday and Thursday.

As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

Apply data visualization and storytelling skills in creating business intelligence solutions (such as Looker and/or Hex dashboards) that enable actionable insights.

Perform ad-hoc analyses and deep dives to investigate business questions, surface trends, and provide data-driven recommendations.

Develop self-service data tools and processes that empower business stakeholders to independently monitor the performance and health of their respective areas.

Collaborate closely with Data Scientists and Data Engineers to identify data sources, enable data pipelines, and support the development of analytical data models that operationalize reports and dashboards.

Implement and maintain rigorous data quality checks to ensure the integrity and robustness of datasets used across dashboards, reports, and analyses.

Partner with various departments,including Sales, Operations, Product, and Finance,to understand their data needs and deliver tailored analyses and reporting that support strategic planning.

Contribute to the automation of recurring analyses and reporting workflows using Python.

Requirements

3+ years of experience in data analytics or a related role in a professional setting.

2+ years of experience working directly with Sales, Operations, Product, or equivalent business teams.

Fluency in SQL to manipulate data and perform complex analyses (CTEs, window functions, joins across large datasets).

Experience with Python for data analysis, automation, or scripting.

Experience with business intelligence and data visualization tools (Looker, Hex, Tableau, or similar).

Strong quantitative and analytical skills with a demonstrated ability to translate data into business insights.

Strong communication skills and the ability to work effectively with stakeholders across different functions and levels of technical fluency.

Experience with generative AI and LLM-based tools (Claude Code, Cursor, GitHub Copilot) to perform and accelerate analyses, automated reporting, and build self-service data tools.

Bonus points

Familiarity with cloud data platforms (e.g., Snowflake, BigQuery, Databricks).

Familiarity with dbt for data modeling and transformation.

Exposure to data pipeline orchestration tools (e.g., Airflow).

Experience in fintech, financial services, or payments.

Comfort operating in a fast-paced, high-growth environment with evolving priorities.

Compensation

The expected salary range for this role is $93,600 - $117,000.

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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In this role, you'll be working within an assigned book of business to retain our highest spend mid-market customers, while looking for opportunities to expand their relationships through cross-sell and upsell.

Key responsibilities include managing renewals, driving cross-selling, owning a book of business, increasing spend into existing accounts, demonstrating the value of ZoomInfo, identifying new business opportunities, and conducting compelling online product demos.

To succeed in this role, you'll need 4+ years of successful sales experience within mid-market to enterprise-sized accounts, with a proven track record of exceeding quotas.

You'll also need to be proficient in delivering a compelling message, conversing with all levels of decision-makers, and have experience in transactional and enterprise solution selling.

This role is a hybrid position, with the option to work from home on Mondays & Fridays. The US base salary range for this position is $93,000 to $101,750 + variable compensation + benefits. ($170,000 to $185,000 OTE (on target earnings)).

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You will serve as a strategic partner, shaping how we win in Japan while building the operational foundations to scale.

Responsibilities:

Go-to-Market Strategy:

• Own the Go-to-Market planning process, including quarterly and annual cycles, and collaborate with Finance on target setting.
• Develop the strategy for segmenting territories and accounts.
• Identify market opportunities, assess competitive dynamics, and inform regional expansion priorities.
• Support Go-to-Market execution for alliances, focusing on co-selling, managing the partner pipeline, and facilitating joint planning.
• Analyze region-specific sales metrics and pipeline dynamics to develop proactive insights.

Cross-Functional Leadership:

• Lead collaboration across Strategy and RevOps, Sales Enablement, Strategic Finance, Product, and Marketing teams to ensure alignment.
• Prepare executive-level materials including performance reviews, strategic planning sessions, and board updates.
• Drive cross-functional alignment on go-to-market execution.

Operations & Infrastructure:

• Execute critical processes including strategic account transitions, CRM configurations, and market data management.
• Optimize the sales technology stack and ensure effective adoption of Salesforce and other sales tools.
• Ensure smooth operations across complex, multi-stakeholder sales motions typical in enterprise B2B software.

Requirements:

• 8-10+ years of experience in B2B SaaS or enterprise software, including direct experience in sales strategy, revenue operations, or commercial GTM roles
• Strong analytical capabilities with demonstrated ability to convert complex data into actionable insights
• Proven experience designing territories, setting quotas, and building variable compensation plans for enterprise sales teams
• Extensive experience with enterprise CRM systems (Salesforce required) and business intelligence tools
• Strong cross-functional skills with the ability to influence without direct authority and partner effectively with C-level stakeholders and senior sales leadership
• Experience advising or partnering with regional leadership on GTM strategy
• Business-level Japanese required; English proficiency strongly preferred

Preferred Qualifications:

• Track record of scaling sales organizations through 3x+ growth periods in B2B software
• Experience in Chief of Staff or Business Operations roles supporting regional leadership, go-to-market strategies for alliances, or consulting
• MBA or advanced degree

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Location: United States

Department: Trust and Safety

Job Description:

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe.

Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.

The Community You Will Join:

Payment Risk Operations is at the heart of what makes Airbnb a place where anyone can belong anywhere. We're the guardians of trust in our global marketplace, working tirelessly to create safe and authentic experiences for millions of hosts and guests worldwide.

Our mission is simple yet powerful: protect our community while preserving the magic of travel.

We're passionate about user satisfaction and dedicated to crafting thoughtful policies, intelligent rules, and innovative systems that elevate the quality of every interaction on our platform.

The Difference You Will Make:

As a Senior Risk Functional Specialist, you will be responsible for overseeing the operational procedures and escalations related to stored value payment products (e.g. gift cards) and the review of performance metrics for business and vendor feedback.

You will work closely with operational stakeholders and cross-functional partners to enact change to improve our products and processes.

You will consistently demonstrate excellent decision-making skills as you solve a wide range of complex problems.

You will be expected to understand and apply Airbnb core values in all of your work.

Your impact will span:

• Transaction security across all Airbnb products and services

• Risk policy support to build trust in our platform

• User verification and onboarding experiences that balance security with seamless user journeys

• Fraud detection systems that evolve as quickly as the threats they combat

• Operational excellence that keeps our community safe while maintaining the hospitality that defines Airbnb

A Typical Day:

• Protect our community by reviewing and making exceptional decisions for platform exemptions to maintain trust and safety across Airbnb

• Own incident resolution of risky pay-in procedures from escalation to closure, ensuring swift and thorough case management that protects our hosts and guests

• Navigate complex operational issues by partnering with Legal, Public Affairs, and other teams to respond to regulatory inquiries related to fraud and criminal activities

• Tell the story through data by drafting business requirements and concept briefs that highlight key operational needs for platform development

Your Expertise:

• Minimum of 3+ years professional experience in fraud, abuse, or cybercrime investigations

• Minimum of 1+ years professional experience related to stored value risk (e.g. gift cards, coupons, credits, incentives)

• Detail-oriented, highly analytical, and strong project management skills

• Ability to understand opposing points of view on highly complex issues

• Strong ability to gather information from various internal sources

• Capacity to draw actionable insights from dashboards and reports

• Risk policy creation and/or administration experience

• Basic SQL

• Experience with data visualization and business intelligence tools (e.g. Tableau, Superset)

• CFE or equivalent certifications

Your Location:

This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager.

While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity.

Click here for the up-to-date list of excluded states.

This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list

If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible.

We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions.

All qualified individuals are encouraged to apply.

We strive to also provide a disability inclusive application and interview process.

If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com.

Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.

We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.

How We'll Take Care of You:

Our job titles may span more than one career level.

The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands.

The base pay range is subject to change and may be modified in the future.

This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

Pay Range $82,000-$96,000 USD

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Responsibilities:

• Work with technical and business teams to develop robust insights, create data narratives and leverage Airbnb’s rich data to define metrics.
• Build advanced analytical capabilities and tools, passionate about solving complex problems with data; adding a new perspective to existing solutions and making business decisions based on careful and thoughtful analysis.
• Leverage Airbnb’s state-of-art machine learning infrastructure, and other central data science tools to build and collaborate with a strong team of engineers, product managers, designers and operation agents to achieve shared, cross-functional goals.
• Develop a deep understanding of how guests and hosts interact with our payments platform and how we can manage our risk while meeting our regulatory compliance requirements, through structured and unstructured data sources.

A Typical Day:

• Execute projects with regular direction; Set a roadmap for projects up to a quarter ahead providing constant updates to business stakeholders, analytics management and deliver against agreed timelines.
• Ensure the availability of data quality and data integrity for analysis and reporting, by blending external and internal data, working closely with global operations and India analytics functions.
• Perform data modeling for the various entities involved in Airbnb including customers, hosts, cases, agents, and others using modern data modeling tools and frameworks to provide the analytical foundation of Airbnb’s Advance Analytics positions.
• Execute ad-hoc reporting, data investigations, and root cause analysis into various operational areas including policy incubation, enforcement efficacy, prevalence, efficiency, agent tooling, agent staffing & optimization, and agent quality & efficiency to identify and solve for operational bottlenecks and inefficiencies.
• Devise business metric frameworks and optimization models to make optimal business decisions that support arguments for Airbnb’s product, operations and policy issues - Influence data-driven decisions across global sites and business verticals in day-to-day via business reviews, self-serve portal, planning scorecards, and impact analyses among others.
• Experiment with new Airbnb policy / product features to help deter and mitigate risk - Influence machine learning models in partnership with DS / Engg teams to automate policy enforcement decisions, while enqueueing the most complex cases for manual review by agents

Your Expertise:

• 6+ years of industry experience and an Advanced degree in Business Analytics or other (Masters or PhD is a plus) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research).
• Good communication and collaboration skills with the ability to work effectively with internal teams in a cross-cultural and cross-functional environment. Ability to conduct rigorous analysis and communicate conclusions to both technical and non-technical audiences
• Proven track record of delivering full stack data projects from inception to business impact.
• Advanced level proficiency in SQL/NoSQL, programming languages such as Python, R, SAS and Intermediate level knowledge of data foundations and databases like Presto, Hive, Teradata, Spark.
• Familiarity with EDA, hypothesis testing, significance testing, linear regression, logistic regression, SVM, ridge regression, lasso regression, random forest, basic concepts of NLP, KNN, K-Means, A/B testing, multivariate testing, and digital funnel testing.
• Beginner level understanding of statistical and machine learning techniques, Tableau or similar BI platform to develop reports and dashboards
• Have a positive and solution-oriented mindset with an ability to maintain confidentiality and objectivity.
• Exceptional problem-solving abilities, self-motivation and ability to work autonomously, strong organizational and time management skills, with the ability to manage multiple priorities and meet deadlines.
• Knowledge and experience in payments processes, systems and tools would be a plus - Knowledge and experience in risk/compliance processes and data needs would be a plus

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

How We'll Take Care of You:

Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range shown below is annualized, is inclusive of allowances and is subject to change and may be modified in the future. This role may also be eligible for bonus or incentives, one or more equity programs, benefits, and Employee Travel Credits. India Annual Pay Range₹1,890,000-₹2,700,000 INR

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Senior Business Solutions Engineer, BizTech

Job Description

We are seeking a world-class Senior Business Systems Engineer to join our dynamic team. As a Senior Business Solutions Engineer, you will be responsible for providing quick solutions utilizing internal tools and agentic AI to support and assist teams in enhancing their day-to-day workflows. You will oversee the end-to-end delivery of system and tool changes as required, and provide support to those solutions.

Your expertise will help identify current pain points for stakeholders, promote industry best practices, and maintain data integrity and accuracy within our platforms. You will also play a crucial role in mentoring junior team members, driving strategy, and delivering results with excellence.

A high degree of focus on practical AI and understanding the current state of industry as AI technology changes is critical.

Responsibilities

Product Roadmap Ownership

Lead the design, development, implementation, and optimization of custom solutions to improve internal teams' processes and workflows, with a focus on Agentic AI solutions utilizing Airbnb-approved internal tools.

Stakeholder Management

Identify and address current pain points, socialize industry best practices, and prioritize project pipelines in collaboration with stakeholders.

Automation

Identify and drive automation initiatives to reduce manual processes and improve operational efficiency across core business functions.

Vendor Management

Partner with our vendors to drive and own the product feature and bug lifecycle from requirements gathering to launch.

Industry Trends

Stay updated with the latest platform features, best practices, and industry trends to proactively identify opportunities for enhancements.

Business Process Improvement

Craft and suggest future-state business processes, and lead the implementation of these suggestions.

Expertise and Mentorship

Act as a company-wide expert in relevant functional tools and applications. Mentor junior team members and provide guidance on development and delivery.

Architecture and Design Reviews

Collaborate on architecture and design reviews, offering necessary guidance to ensure development guidelines are followed.

Requirements

Experience

8+ years of professional experience with proven enterprise-grade systems implementations, IT consulting, or similar field leveraging advanced platform integrations Minimum of 2 years of experience demonstrably using AI in workflows and to support customers Experience researching and implementing custom applications from the Marketplace from research, to design and implementation Advanced degree (e.g., MS/MBA) in Business, Computer Science, or related fields preferred Demonstrated experience designing and implementing custom business solutions and integrations using enterprise platforms Deep knowledge of data modeling, business intelligence tools (e.g., Tableau), and enterprise reporting best practices Skilled at stakeholder engagement and cross-functional collaboration in large global organizations Adept at leading complex projects, simplifying technical concepts, and promoting operational excellence Excellent written and verbal communication skills, especially in critiquing technical designs and leading workshops, and engaging with senior leadership Exemplifies strong leadership fundamentals, guides junior team members, and drives strategy with a focus on long-term scalability Proficient in designing and implementing data management strategies to ensure data integrity Identifies opportunities for product and process improvements and can lead and implement said improvements, obtaining necessary buy-in from stakeholders and leadership

Preferred Qualifications

Advanced degree (e.g., MS/MBA) in Business, Computer Science, or related fields

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You will serve as a trusted advisor and operational force multiplier, bringing deep B2B SaaS expertise to help teams achieve revenue targets while building scalable frameworks that drive industry-specific customer success.

Enterprise Strategy & Analysis:

• Partner with sales and regional leaders to develop gtm strategy, motions, country/region prioritisation and sector focus and strategy. Refine industry-specific go-to-market strategies across key verticals (e.g., Financial Services, Healthcare, Technology, Retail, Manufacturing etc.)
• Identify Industry customer needs, pain points etc. and share feedback cross functionally to guide solution building across global teams such as product, engineering, finance, legal etc.
• Build and maintain industry-specific value propositions, use cases, and sales playbooks
• Drive territory and account segmentation strategies based on industry characteristics and opportunity
• Establish industry benchmarks and best practices to guide sales approach and prioritization
• Work with Finance on target setting, planning and bottom-up modeling

Go-to-Market Strategy & Execution:

• Develop comprehensive industry frameworks that standardize how customers in each vertical derive value from our solutions
• Drive quarterly, semi-annual, and annual planning cycles for industry-focused GTM segments
• Analyze industry-specific sales metrics and pipeline dynamics to develop proactive insights
• Partner with Account Executives to evolve sales motions and industry best practices based on vertical nuances
• Continuously evaluate market opportunities, competitive positioning, and whitespace within target industries

Cross-Functional Leadership:

• Lead collaboration across Strategy and RevOps, Sales Enablement, Strategic Finance, Product, and Marketing teams to ensure industry alignment
• Work with Product teams to communicate industry-specific feature requirements and market feedback
• Prepare executive-level materials including industry performance reviews, strategic planning sessions, and board updates
• Drive alignment across teams to ensure consistent execution of industry-specific go-to-market strategies
• Partner with Marketing on industry-focused campaigns, events, and thought leadership initiatives

Operational Excellence:

• Remove operational bottlenecks specific to complex industry sales cycles and compliance requirements
• Execute critical processes including strategic account transitions, industry-specific CRM configurations, and vertical market data management
• Optimize sales technology stack and ensure effective adoption of Salesforce and other sales tools
• Establish sales process methodology, qualification criteria, and stage definitions for consistent execution
• Ensure smooth operations across complex, multi-stakeholder sales motions typical in enterprise B2B software

Requirements:

• 10+ years of experience in B2B SaaS or enterprise software, with focus on sales strategy, revenue operations, industry consulting, or commercial roles
• Deep expertise in one or more enterprise industry verticals with proven track record of driving growth in those markets
• Strong analytical capabilities with demonstrated ability to convert complex industry data into actionable insights and strategy
• Direct experience in commercial GTM roles selling or supporting sales of B2B software solutions to enterprise customers
• Proven experience designing territories, setting quotas, and building variable compensation plans for enterprise sales teams
• Track record of building sales capacity models, productivity frameworks, and headcount planning processes
• Extensive experience with enterprise CRM systems (Salesforce required) and business intelligence tools
• Proven ability to influence and partner with C-level stakeholders and senior sales leadership
• Track record of developing industry-specific frameworks, sales plays, and value propositions

Preferred Qualifications:

• Experience at high-growth B2B SaaS companies, particularly in industry-focused GTM or vertical sales roles
• Background in AI/ML, cloud infrastructure, or enterprise software companies serving multiple industries
• Track record of scaling sales organizations through 3x+ growth periods in B2B software
• MBA or advanced degree
• Experience building industry-specific go-to-market motions from scratch
• Direct enterprise sales or sales engineering experience in complex, multi-stakeholder environments
• Experience with emerging technologies (AI, ML) in enterprise contexts
• Management consulting experience with focus on industry strategy or commercial excellence

Benefits:

• Annual compensation range: €140,000 - €200,000 EUR
• 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 you master our integration landscape, you'll have opportunities to expand into Claude-powered AI automation and data pipeline development.

You'll build the integration backbone for one of the fastest-growing AI companies, with a front-row seat to how Claude transforms financial operations. This is a foundational role where you'll shape our integration architecture from the ground up, then expand into cutting-edge AI automation as our needs evolve.

Responsibilities

Core Focus: Integration Development & ERP Support

• Design, build, and maintain integrations connecting ERP systems with downstream applications including ZipHQ, Brex, Navan, Clearwater, Payroll systems, Salesforce, and other critical financial platforms using Workato, MuleSoft, or similar iPaaS solutions

• Support integration development and testing during the ERP implementation projects

• Develop and maintain REST APIs, webhooks, and OAuth 2.0 authentication flows for secure system-to-system communication

• Implement real-time and batch integration patterns supporting high-volume financial transactions

• Establish monitoring, alerting, and error-handling frameworks to ensure integration reliability and data integrity

• Document integration architectures, data flows, API specifications, and troubleshooting procedures

• Collaborate with implementation consulting partners and vendors on technical integration requirements

Additional Scope: AI Automation & Data Infrastructure

• Build and deploy Claude-powered AI agents that automate financial operations including intelligent document processing, workflow automation, financial audit and reconciliations, and self-service reporting

• Design agentic workflows that leverage Claude API capabilities integrated with ERP platform data and processes

• Create automated validation and quality assurance processes for AI-generated outputs

• Partner with Finance teams to identify automation opportunities and translate requirements into AI agent solutions

• Support data pipeline development using Airflow for workflow orchestration and dbt for data transformation

• Build and maintain data flows from ERP and other financial systems into BigQuery for analytics and reporting

• Implement data quality checks and testing frameworks for financial data pipelines

• Collaborate with Data Infrastructure team on pipeline architecture, performance optimization, and security monitoring

• Support executive dashboards and financial analytics by ensuring timely, accurate data delivery

Governance & Collaboration

• Maintain comprehensive documentation for integrations, AI agents, and data pipelines

• Support internal and external audits with technical evidence and system access reviews

• Collaborate with Finance Systems Engineers on operational support, troubleshooting, and enhancement requests

• Partner with Finance Operations, Accounting, FP&A, Engineering, and Data Infrastructure teams to deliver holistic solutions

Requirements

• 8+ years of experience in integration development, data engineering, or systems engineering roles

• Hands-on experience with iPaaS platforms such as Workato, MuleSoft, Dell Boomi, or similar integration tools

• Strong programming skills in Python and/or JavaScript/TypeScript for building custom integrations, APIs, and automation scripts

• Experience with data pipeline tools including Airflow for orchestration and dbt for transformation

• Working knowledge of cloud data platforms such as BigQuery, Snowflake, or Databricks

• Understanding of REST API design patterns, webhooks, OAuth 2.0, and modern integration architectures

• Familiarity with ERP systems (Oracle Fusion, Workday Financials, or similar) and financial business processes

• Strong problem-solving skills with ability to debug complex integration issues across multiple systems

• Excellent communication skills to collaborate with technical and business stakeholders

Preferred Qualifications

• Experience with high-growth technology companies scaling through rapid revenue expansion (5x-10x growth)

• Background in AI/ML companies with familiarity in modern SaaS business models including consumption-based pricing, usage metering platforms, and marketplace billing

• Hands-on experience with specific platforms: Workday Financials (Workday Studio, EIB, custom reports, Prism Analytics)

• Technical expertise with modern finance tech stack including Stripe, Salesforce, Zuora RevPro, Zip Procurement, Clearwater treasury systems, Pigment planning tools, Numeric close management

• Programming skills in Python / JavaScript, or similar languages for building custom integrations, APIs, and automation scripts

• Experience with AI/LLM integration for financial operations, including document processing, data extraction, intelligent automation, and agentic workflows (familiarity with Claude models and API is a plus)

• Hands-on experience with modern data stack tools: BigQuery/Snowflake/Databricks, dbt for data transformation, Airflow for workflow orchestration

• Professional certifications such as Workato, Workday integrations, or relevant technical credentials

• Bachelor's or Master's degree in Computer Science, Information Systems, Accounting, Finance, Engineering, or related technical/business field

• Experience with business intelligence and financial reporting tools (Hex, Looker, Tableau, Power BI) for executive dashboards and financial analytics

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As a member of our Data organization, you will work closely with Data Scientists, Data Engineers, and partner teams to drive meaningful insights for the business through visualizations, self-service tools, and ad-hoc analyses. This is a high-impact role in a fast-paced fintech environment where your work will directly influence strategic decisions.

Responsibilities:

• Apply data visualization and storytelling skills in creating business intelligence solutions (such as Looker and/or Hex dashboards) that enable actionable insights.
• Perform ad-hoc analyses and deep dives to investigate business questions, surface trends, and provide data-driven recommendations.
• Develop self-service data tools and processes that empower business stakeholders to independently monitor the performance and health of their respective areas.
• Collaborate closely with Data Scientists and Data Engineers to identify data sources, enable data pipelines, and support the development of analytical data models that operationalize reports and dashboards.
• Implement and maintain rigorous data quality checks to ensure the integrity and robustness of datasets used across dashboards, reports, and analyses.
• Partner with various departments,including Sales, Operations, Product, and Finance,to understand their data needs and deliver tailored analyses and reporting that support strategic planning.
• Contribute to the automation of recurring analyses and reporting workflows using Python.

Requirements:

• 4+ years of experience in data analytics or a related role in a professional setting.
• 3+ years of experience working directly with Sales, Operations, Product, or equivalent business teams.
• Fluency in SQL to manipulate data and perform complex analyses (CTEs, window functions, joins across large datasets).
• Proficiency in Python for data analysis, automation, and scripting (Pandas, NumPy, and similar libraries).
• Experience with business intelligence and data visualization tools (Looker, Hex, Tableau, or similar).
• Strong quantitative and analytical skills with a demonstrated ability to translate data into business insights.
• Strong communication skills and the ability to work effectively with stakeholders across different functions and levels of technical fluency.
• Experience with generative AI and LLM-based tools (Claude Code, Cursor, GitHub Copilot) to perform and accelerate analyses, automated reporting, and build self-service data tools.

Bonus points:

• Familiarity with cloud data platforms (e.g., Snowflake, BigQuery, Databricks).
• Familiarity with dbt for data modeling and transformation.
• Exposure to data pipeline orchestration tools (e.g., Airflow).
• Experience in fintech, financial services, or payments.
• Comfort operating in a fast-paced, high-growth environment with evolving priorities.

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You will serve as a trusted advisor and operational force multiplier, bringing deep B2B SaaS expertise to help teams achieve revenue targets while building scalable frameworks that drive industry-specific customer success.

Responsibilities:

Enterprise Strategy & Analysis:

• Partner with sales and regional leaders to develop go-to-market strategy, motions, country/region prioritisation and sector focus and strategy. Refine industry-specific go-to-market strategies across key verticals (e.g., Financial Services, Healthcare, Technology, Retail, Manufacturing etc.)

• Identify Industry customer needs, pain points etc. and share feedback cross functionally to guide solution building across global teams such as product, engineering, finance, legal etc.

• Build and maintain industry-specific value propositions, use cases, and sales playbooks

• Drive territory and account segmentation strategies based on industry characteristics and opportunity

• Establish industry benchmarks and best practices to guide sales approach and prioritization

• Work with Finance on target setting, planning and bottom-up modeling

Go-to-Market Strategy & Execution:

• Develop comprehensive industry frameworks that standardize how customers in each vertical derive value from our solutions

• Drive quarterly, semi-annual, and annual planning cycles for industry-focused GTM segments

• Analyze industry-specific sales metrics and pipeline dynamics to develop proactive insights

• Partner with Account Executives to evolve sales motions and industry best practices based on vertical nuances

• Continuously evaluate market opportunities, competitive positioning, and whitespace within target industries

Cross-Functional Leadership:

• Lead collaboration across Strategy and RevOps, Sales Enablement, Strategic Finance, Product, and Marketing teams to ensure industry alignment

• Work with Product teams to communicate industry-specific feature requirements and market feedback

• Prepare executive-level materials including industry performance reviews, strategic planning sessions, and board updates

• Drive alignment across teams to ensure consistent execution of industry-specific go-to-market strategies

• Partner with Marketing on industry-focused campaigns, events, and thought leadership initiatives

Operational Excellence:

• Remove operational bottlenecks specific to complex industry sales cycles and compliance requirements

• Execute critical processes including strategic account transitions, industry-specific CRM configurations, and vertical market data management

• Optimize sales technology stack and ensure effective adoption of Salesforce and other sales tools

• Establish sales process methodology, qualification criteria, and stage definitions for consistent execution

• Ensure smooth operations across complex, multi-stakeholder sales motions typical in enterprise B2B software

You may be a good fit if you have:

• 10+ years of experience in B2B SaaS or enterprise software, with focus on sales strategy, revenue operations, industry consulting, or commercial roles

• Deep expertise in one or more enterprise industry verticals with proven track record of driving growth in those markets

• Strong analytical capabilities with demonstrated ability to convert complex industry data into actionable insights and strategy

• Direct experience in commercial GTM roles selling or supporting sales of B2B software solutions to enterprise customers

• Proven experience designing territories, setting quotas, and building variable compensation plans for enterprise sales teams

• Track record of building sales capacity models, productivity frameworks, and headcount planning processes

• Extensive experience with enterprise CRM systems (Salesforce required) and business intelligence tools

• Proven ability to influence and partner with C-level stakeholders and senior sales leadership

• Track record of developing industry-specific frameworks, sales plays, and value propositions

• Bachelor's degree in business, economics, or related field

Strong candidates may also have:

• Experience at high-growth B2B SaaS companies, particularly in industry-focused GTM or vertical sales roles

• Background in AI/ML, cloud infrastructure, or enterprise software companies serving multiple industries

• Track record of scaling sales organisations through 3x+ growth periods in B2B software

• MBA or advanced degree

• Experience building industry-specific go-to-market motions from scratch

• Track record of scaling sales organisations through 3x+ growth periods in B2B software

• Direct enterprise sales or sales engineering experience in complex, multi-stakeholder environments

• Experience with emerging technologies (AI, ML) in enterprise contexts

• Management consulting experience with focus on industry strategy or commercial excellence

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We're hiring an elite and technically proficient Sales Director to drive adoption of Zus's Aggregated Profile (ZAP) and related platform capabilities among technology-enabled value-based care (VBC) organisations.

As part of our team, you will:

• Build and own the market: develop pipeline from scratch through outbound, networks, and creative GTM; shape territory strategy and refine ICP as the market evolves; identify and win high-value accounts across tech-enabled provider groups, MSOs, specialty networks, and ancillary services, risk-bearing providers and health plans.

• Sell the Aggregated Profile (ZAP) as core infrastructure: help customers re-architect workflows around unified data, not fragmented systems; position ZAP as the data foundation for care coordination and longitudinal patient records, risk adjustment, population health, and VBC workflows, clinical + operational automation.

• Lead deeply technical sales cycles: run discovery across clinical, product, and engineering teams; map customer data flows, architectures, and integration needs; deliver demos of APIs, data products, and platform capabilities; guide technical validation, pilots, and proof-of-concepts; translate business problems into concrete implementation approaches.

Operate like a startup executive: move deals forward with urgency and creativity; directly contribute to the success and growth of Zus and interface with our advisors and investors; navigate ambiguity and unblock internal/external stakeholders; partner closely with Solutions Engineering, Product, and GTM; bring real customer insight back into product and positioning.

What we're looking for:

• Startup DNA: experience in early-stage or high-growth environments; proven ability to build pipeline from zero and close complex deals; comfort operating without playbooks, creating them instead; high ownership, speed, and bias toward action.

• Enterprise sales excellence: 8+ years selling complex SaaS/data platforms in healthcare; track record of closing $100K–$1M+ multi-stakeholder deals; experience selling into providers, ancillary services, and/or payers; ability to engage executives while winning over technical buyers.

• Technical fluency: strong understanding of healthcare data + interoperability (APIs, FHIR, EHRs); ability to run demos, handle technical objections, and guide integrations; comfortable discussing data models, pipelines, and modern tech stacks.

• Builder mindset: equal parts hunter, strategist, and problem solver; strong storytelling by translating technical capabilities into business impact; relentless focus on outcomes, not activity.

Why this role matters: Zus is building the data layer for modern healthcare. As Sales Director, you'll help define how tech-enabled providers, ancillary services, and payers adopt a unified patient record and what they build on top of it.

You won't just sell a product. You'll help shape how healthcare data gets used.

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We're hiring a Senior Manager, Strategic Finance to be the VP of FP&A's analytical right-hand and the architect of our long-range financial model. You excel at building dynamic, accurate, scalable 3-statement models grounded in unit economics and operational drivers. You've lived in Excel,investment banking, PE, hedge funds, equity research,and you bring a forward-looking mindset around leveraging cloud tools, automation, and analytics to elevate what modelling can do.

This is the analytical engine of Strategic Finance, with a natural path to Investor Relations as the company scales.

Responsibilities:

• Build the Company's Strategic Financial Model
• Own and build the fully integrated 3-statement model based on unit economics, KPIs, and industry benchmarks
• Lead the long-range plan (LRP) and multi-scenario modelling
• Tie operational drivers,production ramps, R&D, contract timing, GTM,to financial outcomes
• Build valuation frameworks, sensitivities, and investor-grade outputs
• Maintain a forward-looking view on risks, opportunities, and strategic drivers

• Digitise & Scale the Modelling Infrastructure:
• Partner with data engineering and systems teams to evolve models from Excel to modern cloud-based planning tools
• Build modular, scalable structures where Excel is used only for high-value analysis
• Use analytics and automation to reduce manual modelling and increase clarity

• Analyse the Business Like an Investor:
• Benchmark peers in defence, autonomy, robotics, aerospace, and industrial tech
• Build competitor profiles, KPI benchmarks, and market analyses
• Develop a POV on unit economics, efficiency, scale, and profitability
• Support M&A modelling, valuation, and diligence
• Provide clear, strategic insights,not just numbers

• Lead Cash Flow & Liquidity Modelling (with Corporate Finance):
• Build rolling cash forecasts across working capital, inventory, milestone payments, and CapEx
• Model hardware cycles, government payment timing, and program cash curves
• Identify liquidity risks early and shape capital allocation decisions

• Partner Across the Company:
• Work directly with the VP FP&A, CFO, and CEO on forward-looking financial questions
• Translate engineering, program, and operations plans into financial impacts
• Connect short-term forecasting to the LRP
• Present insights that drive decisions and accelerate execution

Requirements:

• Analytical athlete with elite attention to detail
• Clear, structured thinker with strong modelling intuition
• Fast, accurate, and comfortable under pressure
• Curious and forward-looking,always asking “why?”
• Strong communicator who elevates decision quality
• Mission-driven and energised by complex, meaningful problems

Qualifications:

• 8+ years in investment banking, private equity, hedge funds, equity research, or elite financial services
• Best-in-class Excel modeller: integrated 3-statement models, valuations, sensitivities, unit economics, scenario analysis
• Experience analysing defence, aerospace, autonomy, robotics, industrial tech, or HW/SW companies
• Strong command of unit economics and driver-based forecasting
• Experience building LRPs and enterprise valuation frameworks
• Deep cash flow and liquidity modelling expertise
• High proficiency with financial statements and GAAP mechanics
• Systems mindset,comfortable partnering with data/systems teams
• Thrives in fast-moving, high-growth environments

Preferred Qualifications:

• Familiarity with government contract economics and milestone-based revenue
• M&A experience: modelling, valuation, diligence
• Exposure to manufacturing scale, supply chain, and hardware production cycles
• Data fluency: dashboards, financial databases, or BI tools

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This engineering resource will be the cornerstone of our data infrastructure, responsible for extraction, transform, and load of the data that powers our nation-wide, best-in-class marketplace. By implementing software engineering best practices and scalable solutions, this role is critical in empowering the CEO, executive team, managers, and individual contributors with the robust and trustworthy intelligence needed to scale and innovate across our marketplace.

Primary Responsibilities

• Design, implement, and maintain scalable data transformation layers and code-first orchestration frameworks to ensure the delivery of high-fidelity, reusable data models
• Design and build robust pipelines to ingest data from diverse sources (APIs, logs, relational DBs)
• Ensure the reliable and timely execution of all critical data pipelines (ETLs/ELTs) to maintain data integrity and freshness
• Standardize analytics workflows by integrating software engineering best practices, including version control, CI/CD pipelines, and automated data validation protocols
• Develop and refine a robust semantic layer to facilitate self-service analytics, enabling stakeholders to derive insights without exposure to underlying architectural complexities
• Monitor and optimize cloud compute utilization and data model performance to ensure high availability and low-latency reporting during periods of rapid data scaling
• Serve as a strategic technical partner to leadership across Product, Engineering, Marketing, and Finance to align data infrastructure with organizational objectives
• Become a subject matter expert on the product ecosystem, user behavior, and marketing life cycles to better translate raw data into business value
• Serve as a versatile technical resource capable of stepping into the Data Analyst capacity when necessary,performing deep-dive quantitative analysis and building sophisticated visualizations to support executive decision-making
• Mentor the data analytics team on advanced technical methodologies to foster a culture of engineering excellence and data autonomy

Qualifications

• 3+ years of experience in data engineering or analytics engineering
• Bachelor's degree in quantitative and/or technical fields (Math, Physics, Statistics, Economics, Computer Science, Engineering, etc.) OR 5+ years work experience as a Data Engineer
• Expert-level mastery of SQL, with the ability to write, tune, and optimize complex queries for high-volume environments
• Strong command of at least one major programming language used for data processing
• Hands-on experience designing and maintaining data lakes or cloud-based data warehouses
• Deep understanding of data integration patterns, including data ingestion, transformation, and automated cleansing (ETL/ELT)
• Experience applying scientific, mathematical, or statistical techniques to analyze data and build predictive models
• Advanced ability to translate complex datasets into actionable narratives using modern business intelligence and reporting tools
• A proven track record of using quantitative analysis to solve ambiguous problems and drive strategic decision-making in a fast-paced environment
• Exceptional ability to collaborate with non-technical stakeholders, translating business requirements into technical specs and vice versa

Benefits

• Generous Stock options
• Medical, dental, and vision insurance
• Generous PTO
• 11 paid company holidays
• Hybrid work model - WFH every Monday
• 401(k) plan
• Infant care leave
• On-site gym/showers open 24/7

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As a remote-first, global organization, we are committed to building a team as diverse as the companies we serve. This role is based out of São Paulo, Brazil, and is a full-time position where it is required to come into our office at complexo JK Iguatemi (3 days/week).

Key responsibilities include:

• Research, identify areas for improvement, and make recommendations to optimize business processes
• Work collaboratively, communicate findings, present insights as well as recommend actionable solutions to product owners, finance, GTM, and other cross-functional teams
• Own high-impact analyses that influence product, growth, and operational decisions
• Partner closely with leadership and functional leads to solve ambiguous business problems
• Write SQL and Python to dig into complex datasets and uncover what actually matters
• Build clean, intuitive Tableau dashboards people actually use
• Turn data into clear, actionable recommendations,not just slides and charts
• Communicate insights confidently to technical and non-technical stakeholders
• Help define metrics, KPIs, and how we measure success as a company

Requirements include:

• 5+ years of experience in data analysis, with a preference working in financial services
• Experience with data visualization tools (e.g., Tableau, Excel, Power BI)
• Ability to demonstrate expertise in SQL and Python or R required
• Strong analytical and problem-solving skills
• Excellent business judgment and strategic thinking
• Strong communication skills
• Fluent in English, Jeeves is a global company and English is the language we use internally to communicate between regions
• Agile and able to pivot quickly with the changing environment
• Collaborative and team oriented
• Hands-on experience leading strategic analysis in AI-enabled environments, with the ability to independently apply AI and advanced analytics to frame problems, generate insights, and drive executive decisions.

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The role reports to the Chief Financial Officer (CFO). This role will be a Hybrid role based in our Brisbane, California headquarters.

Accountable for Financial Planning and Analysis, business partnering, and finance operations maintaining clear financial controls and compliance.

Develop the financial frameworks for our commercial launches, including revenue forecasting, COGS analysis, and go-to-market spend optimisation.

Lead the Annual Operating Plan (AOP) process, rolling quarterly forecasts, and long-range strategic planning models, scaled by technology.

Build and maintain a detailed financial model to forecast future performance, report budget to actuals.

Influence key decisions by delivering high-value financial analysis that highlight root causes of variance, trends, and identify actionable opportunities to invest, reduce costs, and mitigate risks.

Create actionable KPI dashboards specific to a commercial-stage diagnostic company, such as test volume, ASP, and COGS per test.

Increase the speed and efficiency of our FP&A efforts driving the timely delivery, quality, and transparency of information to support business decisions.

Proactively partner with the senior leadership team and cross-functional stakeholders to align financial objectives with our business strategy and drive key decision-making.

Identify and manage financial risks monitoring market conditions, developing risk mitigation strategies, and implementing relevant programs.

Proactive collaboration with leaders within the finance organisation to align systems, processes, and initiatives to enable seamless support.

Drive the implementation, buildout, and continuous improvement of key financial systems, such as ERP, planning and budgeting systems, and business intelligence tools.

Champion the application of AI, machine learning, and automation to increase efficiency and enhance predictive accuracy in our models.

Lead financial diligence for potential partnerships, acquisitions, or strategic initiatives.

Participate in audit committee activities as needed.

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Your primary focus will be on providing rock-solid content investment tracking and analysis at the international level. You will partner with regional finance directors to understand content budget trends and variances, complete deep dives and analysis as needed, and develop and maintain robust reporting processes and tooling to scale across a growing business.

You will also own various content investment economic deep dives and general reporting up to world-wide level.

To succeed in this role, you will need to have a strong proficiency in financial planning and analysis (FP&A) and financial modeling, as well as a transactional, commercial finance background.

Based in our London office, you will work in a dynamic and exciting environment where innovating on behalf of our customers is at the heart of everything we do.

Responsibilities:

• Lead content spend planning cycles and processes across the international Prime Video business
• Partner with regional finance directors to understand content budget trends and variances, complete deep dives and analysis as needed
• Develop and maintain robust reporting processes and tooling to scale across a growing business
• Own various content investment economic deep dives and general reporting up to world-wide level

Basic Qualifications:

• Bachelor's degree in engineering, statistics or business, or a Bachelor's degree and experience in a quantitative role (engineering, process re-engineering, quality assurance)
• Experience in tax, finance or a related analytical field
• Experience applying key financial performance indicators (KPIs) to analyses
• Experience in creating process improvements with automation and analysis
• Experience in identifying, leading, and executing opportunities to improve, automate, standardize or simplify finance or business tools and processes
• Experience with advanced use of SQL for data mining and business intelligence

Preferred Qualifications:

• MBA, or CPA
• Experience participating in continuous improvement projects in your team to scale and improve controllership with measurable results
• Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards)

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This role requires a strong analytical and problem-solving skillset, with the ability to work with multiple stakeholders and prioritize tasks effectively. The ideal candidate will have a strong understanding of IT service management principles and practices, as well as experience with data analysis and reporting tools such as PowerBI and Excel.

Responsibilities:

• Design and develop metrics and reports using data from Helix, and other data sources
• Assist Service Management Analysts and technology partners in defining requirements for metrics and reports
• Support and enhance existing metrics and reports
• Support and enhance the Helix (SQL server) data mart
• Act as a liaison to the Data and Analytics reporting team for support and requirements
• Analyze data for trends, root cause, and performance issues
• Validate data accuracy
• Identify and troubleshoot data issues
• Work with vendors as appropriate to resolve data issues or discuss requirements
• Identify metrics and reports that will help improve TO processes
• Track and report status of metrics and reporting projects

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The AI Deployment Manager role is a specialist post-sales enablement role focused on delivering high-impact enablement and adoption services across OpenAI's product suite. This role is responsible for designing and delivering technical enablement experiences that support a repeatable adoption framework– driving sustained activation, expanding breadth and depth of usage, and measurable business value across OpenAI's product suite, including ChatGPT Enterprise, Codex, Agents, and the API.

Responsibilities

• Own the technical enablement of OpenAI products, including ChatGPT Enterprise, Codex, Agents, and API capabilities, helping define effective enablement patterns that support adoption across customer segments
• Lead customer training and enablement across the full customer lifecycle, from initial onboarding through expansion, optimization, and long-term adoption
• Design and deliver high-impact training engagements, including onboarding sessions, advanced capability trainings, executive briefings, hackathons, and hands-on workshops for audiences ranging from senior leaders to working teams
• Drive customer activation, sustained usage, and measurable business value through structured enablement and deployment programs designed for durable adoption at scale
• Partner closely with Sales, AI Success Engineers, Solutions Engineering, and Product teams to ensure seamless handoff from pre- to post-sale and consistent customer experience
• Develop and refine reusable training assets, playbooks, and best practices based on patterns observed across customers and regions
• Gather customer feedback from training and enablement engagements, synthesize themes across accounts, and relay insights to internal stakeholders to inform product and program improvements

Requirements

• 4+ years of experience in customer-facing or instructional roles, engaging C-level and senior technical audiences in complex enterprise environments
• Exceptional presentation and communication skills, particularly when conveying the value of technical concepts clearly to senior and executive-level audiences
• Strong technical depth across coding, agents, and APIs, with a practical understanding of how AI systems are built, evaluated, and operated in production, including RAG, evaluation strategies, fine-tuning, and key tradeoffs
• Proven experience leading structured technical trainings, such as API bootcamps, workshops, or enablement sessions, with the ability to design learning journeys, handle live questions, and reason through problems in real time
• Strong ability to connect technical features and capabilities to concrete business outcomes such as productivity, efficiency, cost reduction, risk mitigation, or revenue impact
• Humble attitude, eagerness to help others, and desire to pick up whatever knowledge you're missing to make both your team and our customers succeed
• Comfortable thinking on their feet in live customer settings, adapting quickly to new information, shifting priorities, and real-time questions while maintaining clarity, ownership, and momentum
• Personal commitment to fostering the safe and ethical evolution of AI

About OpenAI

OpenAI is 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.

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The role will involve working closely with the technical and business teams to deliver marketing-oriented AI cases, integrating business requirements into a relevant activation strategy. The consultant will also be responsible for analysing data for clients, responding to digital activity management issues using key performance indicators, and participating in the development of Fifty-Five's data science offer.

The ideal candidate will have a degree in engineering or a related field, with at least 2 years of experience in data consulting. They will have strong knowledge of Microsoft Office, a strong analytical mindset, excellent communication skills, and a commercial spirit.

The company offers a range of benefits, including a competitive salary, a 10-euro daily meal ticket, 50% transport costs, a flexible work-life balance, and a modern and stimulating work environment.

Fifty-Five is committed to diversity and inclusion, and welcomes applications from all candidates, regardless of their background, age, gender, or disability.

The company is part of The Brandtech Group, a global data company that helps brands collect, analyse and activate their data across paid, earned and owned channels to increase their marketing ROI and improve customer acquisition and retention.

The role is based in Paris, with the opportunity to work on a global scale. The company is looking for a senior data consultant to join its team, with a competitive salary and a range of benefits.

If you are a senior data consultant looking for a new challenge, please apply now.

Responsibilities:

• Promote data science and data processing to support digital marketing
• Follow a project plan with different milestones
• Ensure data quality and accuracy
• Deliver high-quality results to clients
• Work closely with technical and business teams to deliver marketing-oriented AI cases
• Integrate business requirements into a relevant activation strategy
• Analyse data for clients
• Respond to digital activity management issues using key performance indicators
• Participate in the development of Fifty-Five's data science offer

Requirements:

• Degree in engineering or a related field
• At least 2 years of experience in data consulting
• Strong knowledge of Microsoft Office
• Strong analytical mindset
• Excellent communication skills
• Commercial spirit

Preferred skills:

• Strong knowledge of Python
• Experience with data visualisation tools
• Knowledge of machine learning algorithms
• Experience with data warehousing and business intelligence tools

Benefits:

• Competitive salary
• 10-euro daily meal ticket
• 50% transport costs
• Flexible work-life balance
• Modern and stimulating work environment

Company culture:

• Fifty-Five is committed to diversity and inclusion
• Welcomes applications from all candidates, regardless of their background, age, gender, or disability
• Part of The Brandtech Group, a global data company that helps brands collect, analyse and activate their data across paid, earned and owned channels to increase their marketing ROI and improve customer acquisition and retention

Location:

• Paris, France

Type of contract:

• Full-time

Salary:

• Competitive salary

Workplace type:

• On-site

Category:

• Data science

Industry:

• Technology

Salary range:

• Competitive salary

XML job scraping automation by YubHub

Our client is a leading insurer seeking a Business Solution Analyst to join their team. As a Business Solution Analyst, you will play a critical role in defining, understanding, quantifying, and explaining metrics for the department. You will work closely with Data Leadership and Data team leads to determine metrics to capture and measure for progress and define how the metric will be defined and calculated.

Role Responsibilities

• Design, develop, and maintain business intelligence solutions using PowerBI
• Work closely with stakeholders to understand their reporting needs and translate them into actionable insights
• Build and maintain dashboards and reports for the data department
• Expert in visualization technologies such as PowerBI
• Define, capture, and publish metrics ensuring continuous improvement and driving adherence to achieving goals

Requirements

• Bachelor's degree
• English proficiency
• Power BI Expertise (4-6 years of experience)
• Strong hands-on experience creating, modifying, and maintaining reports and dashboards
• Comfortable connecting to various backend systems
• Must have experience with real-world Power BI reporting
• Ability to understand stakeholder needs and translate them into effective visuals
• Can communicate data insights clearly and influence teams
• Able to problem-solve and normalize inconsistent data from multiple sources
• Must handle ambiguity and shift priorities well

Benefits

This position comes with a competitive compensation and benefits package:

1. Competitive salary and performance-based bonuses
2. Comprehensive benefits package
3. Career development and training opportunities
4. Flexible work arrangements (remote and/or office-based)
5. Dynamic and inclusive work culture within a globally renowned group
6. Private Health Insurance
7. Pension Plan
8. Paid Time Off
9. Training & Development

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As a Digital Analytics Consultant, you will follow an action plan, issuing various deliverables during the project. You will guarantee the quality of web analytics data as well as its interpretation during delivery sessions with the client. You will be responsible for the content, the format and the overall quality of the outputs delivered to the client and for monitoring their operational and technical implementation.

Based on your good understanding of our expertise and our clients' needs, you will collaborate with all of our teams to develop fifty-five's offer, both in terms of marketing and in terms of technical and operational delivery.

Job description

• Deliver missions related to the monitoring of the client's digital activity based on key performance indicators (reporting), to onsite conversion optimization through data analysis and web & app testing, data visualization and related inquiries.
• Analyse data and structure relevant information for the client's benefit, in line with business indicators specific to their industry (eg. mobile operators, retail, travel, etc.)
• Meet clients' needs and pay attention to the quality of all deliverables

Education and Experience

• Master's degree (business, engineering) or equivalent diploma
• Fluent in Chinese (Cantonese) and English written and spoken
• 0-2 years (Consultant) / 3-5 years (senior Consultant) experience in project management or digital marketing, or media-buy agencies, digital or traditional, or consulting firms (strategy, organization, change management, IS, etc.), business Intelligence software publishers (SAP, etc.)
• Good to have knowledge of the main online acquisition channels: search engines (SEO, SEM and bid-management tools), display, affiliate marketing, emailing, social media, AdExchange, web and mobile applications, etc.
• Experience in Adobe Analytics and/or Adobe Target is an advantage
• Industry web & app analytics tool
• Data Visualization / Business Intelligence Tools
• Good to have SQL and Python for data analysis
• Strong analytical skills
• Good social spirit
• Laid back but professional
• Curious and willing to learn (a lot!)
• Strong interest in new technologies and the digital industry

Benefits

• 20 days Annual Leaves
• Extra medical coverage, including inpatient and outpatient
• Work remotely (Maximum 2 days a week Work From Home policy)
• Regular team activities including TGIF, team lunch and Off-site!
• A multicultural environment with employees from over 20 countries
• Values centred on excellence, caring and sharing
• Continuous (and certified) training on the digital ecosystem and technologies (initial training for all new employees, followed by ongoing training sessions, etc.)
• Particular importance given to work-life balance and the right to disconnect

The opportunity of taking part in internal projects such as The Data Hive (a “tech for good” project initiated by fifty-fivers, whose aim is to put knowledge and expertise at the disposal of charitable organisations) or Women@55 (a committee with the aim of discussing gender equality and the role of women in consulting, Tech and at fifty-five)

fifty-five encourages diversity and is committed to guaranteeing equal treatment of all applications, regardless of gender, age, origin, sexual orientation, state of health or political or religious opinion.

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Responsibilities:

• Analyze customer data to uncover trends, behaviors, and opportunities to enhance customer experience
• Develop dashboards and reports to support CX performance tracking and strategic initiatives
• Use SQL, Python, and BI tools to extract, manipulate, and analyze structured data
• Apply statistical, financial, and forecasting models to support business planning and performance optimization
• Partner with cross-functional teams to translate business questions into analytical frameworks
• Ensure data accuracy, integrity, and consistency across multiple data sources
• Support AI-driven and advanced analytics initiatives to improve customer insights
• Continuously improve reporting processes and data platforms to meet evolving business needs

Requirements:

• 5+ years of experience in Data Analytics, Business Intelligence, or Customer Analytics roles
• Bachelor’s degree in Statistics, Mathematics, Business Analytics, Data Engineering, Data Science, or related field
• Advanced English proficiency
• Analytics – Intermediate
• Statistical Modeling – Intermediate
• Financial Modeling – Intermediate
• Forecasting – Intermediate
• SQL – Intermediate
• Python – Intermediate
• Excel – Intermediate
• Power BI – Entry Level
• Snowflake – Entry Level
• Microsoft 365 & Copilot – Entry Level

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The Enterprise Architect - Retail & Omni-Channel will collaborate with the other key areas of the company (business/IT) to ensure that plans are based on the overall Strategy and Architecture direction, defining new requirements and driving innovative business processes and technical solutions.

You will be responsible for setting the future direction of these capabilities, outlining a roadmap that meets the strategic needs of the organisation and working with the relevant teams to assure their delivery.

Essential Duties and Responsibilities:

• Collaborate with IT leaders, other Enterprise Domain Architects and leaders in the business to document IT capability requirements (strategic) as part of annual/on-going planning and governance.
• Deliver Enterprise IT strategic roadmaps for Retail, eCommerce and Direct To Consumer channels (3+ year forward looking view) that are focused on technology capabilities for Business, Information (data) and Technology solutions.
• Ensure that roadmaps reflect invest/divest, retirement, and consolidation strategies for systems globally and that industry best practices and benchmarks are incorporated into deliverables.
• Ensuring that solution design is aligned with the target domain architecture and business roadmaps.
• Lead and deliver enterprise evaluations and analyses that adhere to established global IT project and requirements management methodologies, governance/check-point, release management, and tools standards for approved projects requiring IT solutions
• Partner with IT functions and their solution architects to design integrated IT solutions (including the build vs. buy decision) that translate business capability requirements and adhere to established global IT technology standards (infrastructure, application, integration, data).
• Provide Architecture consulting to solution architects within delivery/execution teams (design, build/test, conversion/cutover) for business and technical projects across the globe.
• Provide analysis and recommendations, via benchmarks and external industry point of view, on enterprise department performance for “Run and Maintain”.
• Support IT and business leaders with technology advisory services for engaging with the business to “solve” business problems via technology and process innovation relative to IT capability requirements.
• Act as informal mentor and coach to Solution Architects within other IT teams.
• Contribute and represent Retail and Omni-Chanel at the IT Architectural Board.
• Work directly with external vendors and advisory agencies to bring relevant best practices to the Enterprise Architecture team.

Qualifications

• Bachelor's degree in Computer Science, Engineering or related discipline/experience preferred
• Minimum 5+ years of IT experience in an architecture role responsible for both business systems support and the successful delivery and deployment of IT technology-based solutions
• Well-versed in Enterprise Architecture, including network, data, application, system, and integration architecture.
• TOGAF Certification or other architecture professional certification a plus

Experience

• Apparel experience strongly desired, particularly with retail or wholesale.
• Consumer products, and/or apparel retailing experience preferred.
• SAP Retail or equivalent Retail Merchandising System experience preferred.
• Hybris, ATG, Sterling or other headless eCommerce platforms experience preferred.
• Point of Sale and other Retail System implementation experience preferred
• Understanding of technology directions, trends and strategic business impacts related to the retail industry.
• Proficiency in process management, technology evaluation, project management and business intelligence.
• Familiarity with the balanced scorecard concept, IT standards such as ITIL and COBIT and compliance topics such as Sarbanes-Oxley (SOX) and Payment Cards Industry (PCI) standards are preferred.
• Experience leading systems implementations to a successful conclusion.

Clear understanding of the software development lifecycle (SDLC) and project and business process management methodologies and tools.

Excellent written and verbal communication skills and presentation skills.

Ability to serve as a change agent and influence business direction.

• Ability to work effectively in a global and matrixed environment.

About your team

Our CRL (Consumer Goods, retail & Logistics) practice helps some of the largest global firms and most recognizable local brands solve their biggest challenges in today’s age of constant disruption. With diverse services spanning growth strategy and new product innovation, to omni-channel customer experience, supply chain resiliency and AI-driven new business models, we help clients shape and achieve their growth agenda for a sustainable future. We transform traditional organizations to digitally centric business models and drive new revenue streams.

About Infosys Consulting

Be part of a globally renowned management consulting firm on the front-line of industry disruption and at the cutting edge of technology.  We work with market leading brands across sectors. Our culture is inclusive and entrepreneurial. Being a mid-size consultancy within the scale of Infosys gives us the global reach to partner with our clients throughout their transformation journey.

Our core values, IC-LIFE, form a common code that helps us move forward. IC-LIFE stands for Inclusion, Equity and Diversity, Client, Leadership, Integrity, Fairness, and Excellence. To learn more about Infosys Consulting and our values, please visit our careers page.

Within Europe, we are recognized as one of the UK’s top firms by the Financial Times and Forbes due to our client innovations, our cultural diversity and dedicated training and career paths. Infosys is on the Germany’s top employers list for 2023. Management Consulting Magazine named us on their list of Best Firms to Work for. Furthermore, Infosys has been recognized by the Top Employers Institute, a global certification company, for its exceptional standards in employee conditions across Europe for five years in a row.

We offer industry-leading compensation and benefits, along with top training and development opportunities so that you can grow your career and achieve your personal goals. Curious to learn more? We’d love to hear from you.... Apply today!

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You will be joining the world's leading data and insights provider for the alternatives assets industry. We empower the finance community with comprehensive data and expert insights so they can make faster and smarter investment decisions with precision and confidence.

Job Overview

This is a leadership role in our Fund Manager Data team. This role will oversee and manage Preqin's Fund Manager data sets, which includes ensuring the coverage of the alternative assets industry is accurate, up to date and comprehensive. By leading all aspects of a team of domain expertise focused on data collection, this role guarantees that our data maintains unmatched accuracy and comprehensiveness.

Responsibilities

• Ensure BlackRock's data collected by the team is extraordinarily high quality, meets client expectations, and is extraordinary in its scope
• Provide comprehensive and individualized reporting on the quality of partners and internal members
• Implement practices to improve quality measurement and feedback processes
• Lead the day-to-day development of the team, ensuring effective training, adherence to protocols, and maintaining team motivation
• Collaborate with Business Units and Data Governance units to align methodologies
• Build documentation for quality assessments and ensure visibility
• Act as an authority on the dataset, providing support for internal and external collaborators

You are a good fit if

• At least 10-15 years of relevant experience in data/financial data services/alternative assets
• Shown ability to build a function from scratch
• Ability to craft, build, manage project, and report on quality holistically
• Consistent record in performance management and building high-performing teams
• Experience in people and project management, including remote management
• Strong operational management skills in a data organization, with attention to detail
• Hands-on, motivational, and entrepreneurial leadership style
• Strategic and critical thinking skills for developing and improving quality processes
• Experience with change management in quality and training processes
• Strong time management and prioritization skills
• Excellent communication skills and experience working with high-level executives
• Proficiency in English for business purposes
• Minimum of a Bachelor's Degree
• Knowledge of business intelligence systems like Power BI/Metabase

Our benefits

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

Our hybrid work model

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

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We are looking for an innovative hands-on technologist to run Data Operations for one of the largest global FinTech's. This is a new role that will transform how we manage and process high quality data at scale and reflects our commitment to invest in an Enterprise Data Platform to unlock our data strategy for BlackRock and our Aladdin Client Community.

Key responsibilities

The ideal candidate will be a high-energy, technology and data driven individual who has a track record of leading and doing the day to day operations.

• Ensure on time high quality data delivery with a single pane of glass for data pipeline observability and support
• Live and breathe best practices of data ops such as culture, processes and technology
• Partner cross-functionally to enhance existing data sets, eliminating manual inputs and ensuring high quality, and onboarding new data sets
• Lead change while ensuring daily operational excellence, quality, and control
• Build and maintain deep alignment with key internal partners on ops tooling and engineering
• Foster an agile collaborative culture which is creative open, supportive, and dynamic

Knowledge and Experience

• 8+ years’ experience in hands-on data operations including data pipeline monitoring and engineering
• Technical expert including experience with data processing, orchestration (Airflow) data ingestion, cloud-based databases/warehousing (Snowflake) and business intelligence tools
• Champion the adoption of AI-enabled capabilities across Data Operations, including anomaly detection, predictive issue management, and automated operational insights to improve resilience, scale, and client experience.
• The ability to operate and monitor large data sets through the data lifecycle, including the tooling and observability required to ensure data quality and control at scale
• Experience implementing, monitoring, and operating data pipelines that are fast, scalable, reliable, and accurate
• Understanding of modern-day data highways, the associated challenges, and effective controls
• Passionate about data platforms, data quality and everything data
• Practical and detailed oriented operations leader
• Inquisitive leader who will bring new ideas that challenge the status quo
• Ability to navigate a large, highly matrixed organization
• Strong presence with clients

Our benefits

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

Our hybrid work model

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

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The Data & Research Management group is responsible for delivering accurate, timely and complete data to enhance the value of Preqin's award-winning service. The trust in our underlying content enables our clients to make key investment decisions.

Besides simply collecting content, Data & Research Management collaborates extensively with internal and external stakeholders to improve our data offering leveraging technology and subject matter expertise. The team understands the end-to-end lifecycle of data and establishes business intelligence reports seeking operational excellence

Role Overview

The Director – Director, Private Markets Data Acquisition & Partnerships, EMEA role is an outstanding leadership opportunity based in our vibrant London office. This position is integral to Preqin, a part of BlackRock's data leadership team and is charged with steering the strategic direction of our data initiatives. By working closely with the Data, Product, and Technology teams, you will ensure our data exceeds client expectations in both scope and quality.

You will apply your market knowledge, relationship building skills, and data expertise to drive our private market data expansion initiatives in the EMEA region. This involves market exploration, collaboration, and innovative process execution. Your deep understanding of the private markets ecosystem and market trends will significantly contribute to our organisational strategy, ensuring the continued growth and improvement of Preqin, a part of BlackRock's data offerings.

Responsibilities

• Drive the strategic direction of Preqin, a part of BlackRock's data coverage, ensuring it is world-class and meets or exceeds client expectations.

• Act as a Subject Matter Expert (SME), working with internal collaborators to improve and develop current and future data offerings.

• Apply extensive network in the Private markets space to deepen relationships and inform our data expansion strategy.

• Lead a team of VPs and Senior Associates, operating in a player-coach capacity—setting strategy while remaining hands-on in executing initiatives to expand our private markets data coverage.

• Lead strategic data initiatives, including market mapping and white space analysis, to determine future coverage areas.

• Explore strategic data opportunities through partnerships and projects.

• Partner with Data Management and Data Platform teams to lead data sourcing, acquisition, extraction, and ingestion strategies.

• Assist external collaborators with dataset expertise and domain knowledge, including troubleshooting and representing our data to customers.

• Provide mentorship and training to internal data collection teams to improve the value and impact of data.

• Act as a brand ambassador, upholding and promoting Preqin, a part of BlackRock’s values and policies.

Key Requirements

• Minimum of 10 years of relevant experience in data/financial data services/alternative assets.

• Proven ability to acquire domain knowledge relevant to data and financial markets.

• Strong understanding of data lifecycle management from acquisition to publishing.

• Demonstrated success in performance management and building high-performing teams.

• Extensive people and project management experience, including remote team management.

• Hands-on, motivational, and entrepreneurial leader with professional competence.

• Strategic thinker capable of developing and improving data offerings.

• Experience in introducing change management through technology and processes.

• Strong time management and prioritisation skills.

• Excellent communication skills and experience working with senior executives.

• Bachelor’s Degree or equivalent experience required.

• Proficiency in business intelligence systems such as Power BI or Metabase.

Desired Experience

• Experience leading high-performing teams.

• Prior experience in the alternative assets industry or financial services data management.

• Skills in organisational design and central initiatives with senior management.

• Experience working with engineering teams to improve workflows.

• Experience working across cultures and locations

• Change management experience supporting global transitions.

• Project Management Certification or technical knowledge (SQL/Python) is a plus.

• Familiarity with workflow tools such as Alteryx, Salesforce, Outreach, Jira, Office 365.

Our benefits

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

Our hybrid work model

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

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This role sits within Preqin, a part of BlackRock. Preqin plays a key role in how we are revolutionizing private markets data and technology for clients globally, complementing our existing Aladdin technology platform to deliver investment solutions for the whole portfolio.

You will be joining the world’s leading data and insights provider for the alternatives assets industry. We empower the finance community with comprehensive data and expert insights so they can make faster and smarter investment decisions with precision and confidence. We are a forward-thinking company and strive to make an impact by enabling our customers to envision future possibilities, invest in ideas and infrastructure that build strong communities.

Job Overview

This is a leadership role in our Investor Data team. This role will be responsible for aiding in the future growth and development of the team’s internal and external services as well as assisting with the ongoing development of the team members. This is achieved through operational excellence and clear day-to-day maintenance of the dataset & content, including core business-as-usual (BAU) tasks and going above and beyond to collaborate, innovate and execute on relevant ad-hoc projects to improve the accuracy, completeness and timeliness of data. The individual is also responsible for people management to create a high-performing team. Collaboration with the sales and product teams will be key to achieving the above.

Key responsibilities:

• Ensure that data collected by the team is of high quality and meets client expectations
• Implement practices to improve quality measurement and feedback processes
• Provide comprehensive and individualized reporting on the core KPIs for the team
• Look for ways to optimize operations and find new opportunities to upskill team bringing efficiencies
• Lead the day-to-day development of the team, ensuring effective training, adherence to protocols, and maintaining team motivation
• Collaborate with product teams and data governance units to align methodologies

You are a good fit if:

• At least 5-8 years of relevant experience in data/financial data services/alternative assets
• Ability to craft, build, manage project, and report on quality holistically
• Hands-on, motivational, and entrepreneurial leadership style
• Experience in people and project management, including remote management
• Consistent record in performance management and building high-performing teams
• Strong operational management skills in a data organization, with attention to detail
• Strategic and critical thinking skills for developing and improving quality processes
• Experience with change management in quality and training processes
• Strong time management and prioritization skills
• Excellent communication skills and experience working with high-level executives
• Proficiency in English for business purposes
• Minimum of a Bachelor's Degree
• Knowledge of business intelligence systems like Power BI/Metabase

Our benefits

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

Our hybrid work model

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

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You will be responsible for the financial stewardship and financial management of Central cost areas, creating and maintaining a robust control environment, planning and forecasting. You will also be expected to engage with leadership, identifying and supporting management on initiatives to drive efficiencies within wider central services.

The role requires a qualified Accountant (CPA/ACA/ACCA/CIMA) with evidence of developing insights to drive strategic decision-making at an executive level. You will have experience working with Technology and IT contracts, familiar with collaboration across Finance, business leaders, and operational teams.

Key responsibilities include:

• Developing and implementing a long-term sustainable model for technology at Future
• Supporting key initiatives around AI education and BI support
• Oversight and support on IT contracts to drive efficiencies and savings
• Financial stewardship and financial management of Central cost areas
• Creating and maintaining a robust control environment, planning and forecasting

The expected range for this role is £70,000 - £80,000. This is a Hybrid role from our Bath Office, working three days from the office, two from home.

Benefits include:

• Uncapped leave
• Bonus scheme
• Share Incentive Plan
• Well-being support
• Opportunity to purchase shares in Future

Internal job family level P3

We're Future, the global leader in specialist media, with over 3,000 employees working across 200+ media brands. We've got ambitious plans that further build on our growth momentum and unlock new opportunities – and we're looking for driven people who want to be a part of it!

We're committed to diversity and inclusion, 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.

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

#LI-HD1

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Your core responsibilities will include:

Business Insights Design, develop and maintain methods of extracting customer pricing and activity data to view and demonstrate profitability.

Management Information Development Support the business to introduce new or amend existing MI reporting to support simplicity and drive more data-value.

Support Teams Work closely with appropriate areas of the business to understand, document and deliver their requirements.

Respond to ad-hoc report requests and data enquiries from all areas of the business, principally expected to be senior management and customers via our team.

Work with the Head of Bid & Projects, to ensure reporting data is securely housed on existing business platforms and accessible to the relevant stakeholders in customer service, commercial and operational teams.

Leading on small projects in relation to information products, e.g. sourcing specific information missing from the data warehouse or developing a contained set of reports.

Requirements Strong analytical and mathematical ability, including the capacity to pass a logic-based assessment at interview.

Advanced IT skills, particularly Excel, Microsoft Office, and business intelligence tools.

High attention to detail with excellent organisational skills and prior experience in an analytical role.

Flexibility to travel between offices, occasional overnight stays, and a driving licence desirable.

Benefits Ongoing career development, training and coaching – Because if you don’t grow, we don’t grow.

Competitive salary.

Generous pension scheme.

Retail and leisure discounts.

Holiday and travel discounts.

Life cover.

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Responsibilities

• Design, develop, and maintain data pipelines and architectures to support our data-driven decision-making processes
• Collaborate with our data scientists and analysts to understand their data requirements and develop solutions to meet those needs
• Work closely with our IT team to ensure that our data systems are integrated with our existing infrastructure
• Develop and maintain data quality and governance processes to ensure that our data is accurate and reliable
• Participate in the development and maintenance of our data architecture roadmap

Requirements

• Bachelor's degree in Computer Science, Mathematics, or a related field
• 2+ years of experience in data engineering or a related field
• Strong understanding of data engineering principles and practices
• Experience with data warehousing and business intelligence tools
• Strong programming skills in languages such as Python, Java, or C++
• Experience with cloud-based data platforms such as AWS or GCP
• Strong communication and collaboration skills

Benefits

• Competitive salary and benefits package
• Opportunity to work with a leading Formula One racing team
• Collaborative and dynamic work environment
• Professional development and growth opportunities
• Access to state-of-the-art technology and tools
• Flexible working hours and remote work options

Note: The salary range for this position is competitive and will be discussed during the interview process.

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Job Responsibilities

• Conduct data analysis to support payment analysis, marketing analysis, product performance, customer behavior analysis, and business operations.
• Build and maintain recurring and ad-hoc dashboards/reports using business intelligence tools.
• Translate business questions into analytical tasks and deliver clear, data-driven answers and recommendations.
• Support root cause investigations for anomalies and contribute to continuous improvement of reporting accuracy.
• Collaborate with data engineers, product managers, and other teams to ensure smooth data pipeline and reliable reporting.
• Support the integration of AI tools (e.g., LLMs) into reporting and analysis workflows under guidance from senior team members.
• Document metrics definitions, dashboard logic, and report processes for consistency and transparency.

Pre-Requisites

• Bachelor's degree in Statistics, Mathematics, Computer Science, Business Analytics, or a related field.
• 3+ years of experience in data analysis or business intelligence roles.
• Proficiency in SQL and experience with one or more data analysis tools (Python, R, or Excel).
• Hands-on experience with data visualization tools like Tableau, Power BI, or QuickSight.
• Strong analytical thinking, attention to detail, and ability to manage multiple tasks.
• Clear communication skills with the ability to work across business and technical teams.

Benefits

• Competitive salary
• Comprehensive benefits package
• Opportunities for professional growth and development
• Collaborative and dynamic work environment
• Recognition and rewards for outstanding performance
• Access to cutting-edge technology and tools
• Flexible work arrangements and work-life balance

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Apply for a challenging and rewarding role as a Supply Chain Specialist at Logitech, a global technology company. As a Supply Chain Specialist, you will be responsible for driving alliances and spotting opportunities for the organization to leverage, negotiating with suppliers to get work done within time and with quality, and leveraging data analytics to set, track, and exceed key metrics related to partnership performance, effectiveness, or AI adoption.

What will make you successful in this Role:

• You need to be a go-getter, driving alliances and spotting opportunities for the organization to leverage
• You should have negotiation skills to get work done within time and with quality
• You effectively apply AI tools to automate processes, unlock new business insights, and enable smarter decision-making
• You leverage data analytics to set, track, and exceed key metrics related to partnership performance, effectiveness, or AI adoption
• Be creative and think out of the box

Program Profile:

• This eighteen-month rotational program offers candidates the chance to immerse themselves in various areas of the operations to build the skills and find their passion
• Upon successful completion of minimum two rotations or before completion of eighteen months, candidates will be assigned to permanent roles within the Global Operations Team
• During the rotation, candidates will be engaged in projects as well as regular assignments in one of the following functions: Customer Supply Chain, Logistics, Sourcing, Planning, Global Operations Strategy & Transformation, Quality and Value Engineering

Typical Projects:

• Predictive analytics in demand and supply planning to improve accuracy and inventory to impact sales
• Inventory optimization projects at warehouse and retailers
• Build spend cube and conduct spend analysis for a category
• Partner with sourcing and value engineering team to identify and implement cost reduction opportunities for specific products
• Explore and assess AI solutions to improve productivity in Global Operations
• Develop RFP package for sourcing a new product working with engineering team and sourcing team
• Provides analytical support in the execution phase of cross-functional transformation programs focused on improving Global Operations resilience
• Build and maintain reporting, metrics, and data visualization to monitor and track performance against the Global Operations Strategic objectives

What We Offer:

• Comprehensive and competitive benefits packages
• Flexible working environments
• Opportunities for growth and development
• Collaborative and inclusive work culture
• Recognition and rewards for outstanding performance
• Access to cutting-edge technology and tools
• Opportunities to work on exciting and challenging projects
• Collaborative and supportive team environment
• Opportunities for professional growth and development
• Recognition and rewards for outstanding performance
• Access to cutting-edge technology and tools
• Opportunities to work on exciting and challenging projects
• Collaborative and supportive team environment
• Opportunities for professional growth and development
• Recognition and rewards for outstanding performance
• Access to cutting-edge technology and tools
• Opportunities to work on exciting and challenging projects
• Collaborative and supportive team environment

How to Apply:

If you are a motivated and talented individual who is passionate about supply chain management, we encourage you to apply for this exciting opportunity. Please submit your resume and cover letter to [insert contact information]. We look forward to hearing from you!

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We are seeking a highly skilled Data Engineer to join our Data and Analytics team. As a Data Engineer, you will play a key role in the development and maintenance of our data infrastructure, ensuring that our data is accurate, reliable, and easily accessible to our teams.

Responsibilities

• Design, develop, and maintain data pipelines and architectures to support our data-driven decision-making processes
• Collaborate with cross-functional teams to identify data requirements and develop solutions to meet those needs
• Work closely with our data scientists to ensure that our data is accurate, complete, and easily accessible
• Develop and maintain data visualizations and reports to support our business needs
• Troubleshoot data-related issues and implement solutions to prevent future occurrences

Requirements

• Bachelor's degree in Computer Science, Mathematics, or a related field
• 2+ years of experience in data engineering or a related field
• Strong understanding of data structures, algorithms, and software design patterns
• Experience with data warehousing and business intelligence tools
• Strong programming skills in languages such as Python, Java, or C++
• Experience with cloud-based data platforms such as AWS or GCP

Benefits

• Competitive salary and benefits package
• Opportunity to work with a leading Formula One team
• Collaborative and dynamic work environment
• Professional development opportunities

What We Offer

• A competitive salary and benefits package
• The opportunity to work with a leading Formula One team
• A collaborative and dynamic work environment
• Professional development opportunities

How to Apply

If you are a motivated and experienced Data Engineer looking for a new challenge, please submit your application, including your CV and a cover letter, to [insert contact email or link to application portal].

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As a Senior Analytical Lead (AL), you will leverage your passion about data to help shape business strategy and drive tactical outcomes. Your work will encompass thought-leading insights and actionable recommendations, that are shared with our customers, to drive outstanding marketing performance and draw increased investment on our platform.

Your position will also involve Partner Enablement Program Management, by managing consultants who are producing foundational insights. This opportunity will allow you to combine your deep understanding of the business landscape, sophisticated and innovative analytical techniques and keen visualizations into a compelling data narrative that influences decision-makers.

You will leverage your exceptional analytical, problem-solving and partner management skills to bring deep insights to our clients. You will be energized by collaboration and continually raise the bar with world-class analytics experiences.

Responsibilities:

• Develop Influential Analytics: You will be the industry expert and thought leader and apply a consultative approach to provide expert guidance as well as leverage your comprehensive client knowledge to deliver credible and trustworthy analytics that influence decision makers by positioning compelling opportunities within the context of the MSA value proposition to create demand and evangelize what MSA has to offer.
• Partner Enablement Program Management: Manages several vendor consultants who are creating foundational insights to help scale insights to an ecosystem of managed partners and clients.
• Data Analysis: You will execute complex analyses to resolve analytical challenges, interpret results within a client context and drive forward opportunities with actionable recommendations and be adept at connecting insights with the unique capabilities of Microsoft Advertising products to address client needs.
• Small Medium Business Insights Enablement: Work directly with Delivery Partners & Advocates to share Scaled Insights deliverables at scale to our SMBs. Measure the success each month and apply a growth mindset for future opportunities.
• Improvement, Efficiency, and Innovation: You will drive the implementation of methods that create systematic and scalable efficiencies in core work related to analytics and reporting that are reusable and work with tooling PMs to enable scalable efficiencies, readily discoverable insights and self-service that are directed towards meaningful interpretation of data that drives impactful business decisions across teams.
• Collaboration: You will leverage working relationships within and across internal and client teams to ensure data sources, methodologies and models are high-quality, that analytical tools and processes are appropriately leveraged and that recommendations to clients are data-driven and industry-relevant to consistently drive positive impact as you proactively engage internal and external stakeholders to identify and act on opportunities to leverage resources and solutions that were instrumental to success in similar contexts and consults across industry verticals and client teams on decisions related to analyses and their interpretation.
• Security: You will maintain expertise in data privacy and governance rules and regulations, know where to seek expertise on such rules and regulations and share personal knowledge of them with peers as needed and identify and address the impact of updated guidance on work activities and results and ensure work activities and results are delivered in alignment with principles and controls.

Qualifications:

• 6+ years experience in statistics, mathematics, analytics, data science, engineering, computer science, marketing, business, data analysis and reporting, business intelligence, business and financial analysis, or related field OR equivalent experience.
• 6+ years experience using tools such as PowerBI/Tableau, DAX, R, SQL for data manipulation and visualization on large datasets.
• 5+ years experience in relevant technical domain (e.g., cloud services, security), technical sales, marketing, product management, customer support, or cross-group/cross-functional engineering OR equivalent experience.
• Dynamic and creative critical thinking skills, with an ability to think outside of the box.
• Solid ability to communicate complex analyses to a mix of both technical and non-technical partners and clients.
• Experience managing vendors or consultants who produce insights and sharing at scale.
• Experience in ad domain experience , scaling projects and data management.
• Experience project managing a calendar for four consultants for over 100+ of insights every six months.
• Experience utilizing analytical tools to turn massive, dynamic datasets into actionable insights.
• Comfort and enjoyment with working in ambiguous environments.
• Solid communication skills to work with partners in various areas of Microsoft Advertising.
• Experience pairing data visualization with storytelling to deliver persuasive presentations that influence varying audience levels.
• Experience conducting, interpreting, and clearly communicating measurement analyses (e.g., incrementality, attribution, lift studies) to inform client decisions.
• Experience and proficiency using PowerBI/Tableau, DAX, SQL for data manipulation and visualization.
• Working knowledge of statistics, predictive modeling and data clustering/classification techniques.
• Infectious sense of enthusiasm, fun, and imagination to contribute to high-performing team culture.
• Comfort working in an agile and constantly-evolving environment while thriving amid ambiguity.
• Ability to travel 25% – 35% (air travel may be required), as appropriate.

Preferred Qualifications:

• 8+ years experience in statistics, mathematics, analytics, data science, engineering, computer science, marketing, business, data analysis and reporting, business intelligence, business and financial analysis, or related field OR equivalent experience.
• 8+ years experience using tools such as PowerBI/Tableau, DAX, SQL for data manipulation and visualization on large datasets.
• 6+ years in a partner or account management/client service/client-facing role.
• 6+ years in a data analysis role

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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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You will serve as a trusted advisor and operational force multiplier, bringing deep B2B SaaS expertise to help teams achieve revenue targets while building scalable frameworks that drive industry-specific customer success.

Responsibilities:

Industry Strategy & Analysis:

Partner with sales and regional leaders to develop go-to-market strategy, motions, country/region prioritisation and sector focus and strategy. Refine industry-specific go-to-market strategies across key verticals (e.g., Financial Services, Healthcare, Technology, Retail, Manufacturing etc.)

Identify Industry customer needs, pain points etc. and share feedback cross functionally to guide solution building across global teams such as product, engineering, finance, legal etc.

Build and maintain industry-specific value propositions, use cases, and sales playbooks

Drive territory and account segmentation strategies based on industry characteristics and opportunity

Establish industry benchmarks and best practices to guide sales approach and prioritization

Work with Finance on target setting, planning and bottom-up modeling

Go-to-Market Strategy & Execution:

Develop comprehensive industry frameworks that standardize how customers in each vertical derive value from our solutions

Drive quarterly, semi-annual, and annual planning cycles for industry-focused GTM segments

Analyse industry-specific sales metrics and pipeline dynamics to develop proactive insights

Partner with Account Executives to evolve sales motions and industry best practices based on vertical nuances

Continuously evaluate market opportunities, competitive positioning, and whitespace within target industries

Cross-Functional Leadership:

Lead collaboration across Strategy and RevOps, Sales Enablement, Strategic Finance, Product, and Marketing teams to ensure industry alignment

Work with Product teams to communicate industry-specific feature requirements and market feedback

Prepare executive-level materials including industry performance reviews, strategic planning sessions, and board updates

Drive alignment across teams to ensure consistent execution of industry-specific go-to-market strategies

Partner with Marketing on industry-focused campaigns, events, and thought leadership initiatives

Operational Excellence:

Remove operational bottlenecks specific to complex industry sales cycles and compliance requirements

Execute critical processes including strategic account transitions, industry-specific CRM configurations, and vertical market data management

Optimise sales technology stack and ensure effective adoption of Salesforce and other sales tools

Establish sales process methodology, qualification criteria, and stage definitions for consistent execution

Ensure smooth operations across complex, multi-stakeholder sales motions typical in enterprise B2B software

You may be a good fit if you have:

Required qualifications:

10+ years of experience in B2B SaaS or enterprise software, with focus on sales strategy, revenue operations, industry consulting, or commercial roles

Deep expertise in one or more enterprise industry verticals with proven track record of driving growth in those markets

Strong analytical capabilities with demonstrated ability to convert complex industry data into actionable insights and strategy

Direct experience in commercial GTM roles selling or supporting sales of B2B software solutions to enterprise customers

Proven experience designing territories, setting quotas, and building variable compensation plans for enterprise sales teams

Track record of building sales capacity models, productivity frameworks, and headcount planning processes

Extensive experience with enterprise CRM systems (Salesforce required) and business intelligence tools

Proven ability to influence and partner with C-level stakeholders and senior sales leadership

Track record of developing industry-specific frameworks, sales plays, and value propositions

Bachelor's degree in business, economics, or related field

Strong candidates may also have:

Experience at high-growth B2B SaaS companies, particularly in industry-focused GTM or vertical sales roles

Background in AI/ML, cloud infrastructure, or enterprise software companies serving multiple industries

Track record of scaling sales organisations through 3x+ growth periods in B2B software, including territory expansion and comp plan evolution

MBA or advanced degree

Experience building industry-specific go-to-market motions from scratch

Track record of scaling sales organisations through 3x+ growth periods in B2B software

Direct enterprise sales or sales engineering experience in complex, multi-stakeholder environments

Experience with emerging technologies (AI, ML) in enterprise contexts

Management consulting experience with focus on industry strategy or commercial excellence

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

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Location

San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

People

Compensation

• $265K – $295K • 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 People team is committed to hiring, engaging, and supporting world-class talent to help safely build and deploy universally beneficial Artificial General Intelligence (AGI).

About the Role

As Director of People Operations, you will own the core operational infrastructure that enables OpenAI to scale responsibly. This role serves as the operational backbone of the People function, with accountability for data integrity, operational controls, and audit readiness across the systems that support a complex, global workforce, including the operational foundations of recruiting and hiring at scale.

Responsibilities

• Own and continuously improve People Operations across the full workforce lifecycle, from candidate and hiring operations through onboarding and offboarding, ensuring scalable, compliant, and people-centered processes globally.

• Lead and develop a high-performing operations team across people and recruiting operations, setting clear standards, driving accountability, and building strong operational judgment.

• Own the integrity of workforce data end-to-end, from candidate and hiring data through employee lifecycle data, proactively identifying gaps, risks, and failure points before they impact compliance, reporting, or trust.

• Design, document, and rigorously test critical People and hiring processes and internal controls, with a strong focus on auditability, SOX-relevant controls where applicable, and long-term scalability.

• Serve as a senior operational partner to Finance, Legal, IT, Security, and People leadership, translating business needs into durable infrastructure that supports both hiring velocity and responsible workforce scale.

• Oversee People systems and vendors that support hiring and the employee lifecycle (e.g., ATS, HRIS, onboarding, payroll, benefits administration), ensuring reliability, clean handoffs, and strong user experience.

• Lead operational readiness for growth events such as headcount expansion, new entities, new geographies, and other strategic initiatives.

What You Will Bring

• Exceptional judgment, comfort operating in ambiguity, and the ability to balance rigor with empathy at scale.

• Strong operational judgment, with a focus on data-driven decision making and process improvement.

• Proven ability to lead and develop high-performing teams, with a focus on building strong operational judgment and accountability.

• Strong communication and interpersonal skills, with the ability to effectively partner with cross-functional stakeholders.

• Experience with People Operations, Recruiting Operations, or a related field, with a focus on scalable, compliant, and people-centered processes.

• Strong analytical and problem-solving skills, with the ability to identify gaps, risks, and failure points before they impact compliance, reporting, or trust.

• Experience with designing, documenting, and rigorously testing critical People and hiring processes and internal controls, with a strong focus on auditability, SOX-relevant controls where applicable, and long-term scalability.

What We Offer

• Competitive salary and benefits package, including equity and performance-related bonus(es).

• Opportunity to work with a rapidly growing company that is making a significant impact in the field of artificial general intelligence.

• Collaborative and dynamic work environment, with a focus on building strong operational judgment and accountability.

• Professional development opportunities, including training and education programs, to help you grow and develop in your career.

• Flexible work arrangements, including remote work options and flexible hours.

How to Apply

If you are a motivated and experienced professional looking to join a dynamic and growing company, please submit your application, including your resume and a cover letter, to [insert contact information].

Contact Information

[Insert contact information, including email address and phone number].

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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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About the role

We’re looking for an Analyst to join the People Analytics team as an automation expert. This role is hands-on, technical and analytical: you’ll build reliable datasets, prepare, audit and automate reporting for leadership reviews, and help scale reporting frameworks across the People data stack.

Your Responsibilities:

• Leverage our engineering stack, be creative and automate manual data analytics and reporting processes.

• Conduct data gathering, reporting and analysis needs for Executive Business Reviews and ad-hoc deep dives.

• Own preparation of reporting and slide-ready data exports for Executive Business Reviews.

• Work with cross-functional stakeholders (People Systems, Finance, Data Platform, Recruiting Operations and more) to prepare, validate, and document datasets used for People reporting.

• Help build and automate recurring reporting based on existing frameworks and stakeholder feedback.

• Partner with data warehouse engineering and data stakeholders to improve accuracy, freshness, lineage, and robustness of core People datasets.

• Develop ad hoc data pipelines and rigorous data validations to support high-stakes executive reporting and deep-dive analyses.

We’re Seeking:

• 2–4 years in an analytics role (data analysis, data engineering, business intelligence, consulting or similar) at a high-growth organization.

• High performing and highly dependable, comfortable operating with rigor in a fast-paced environment, with strong attention to detail.

• Strong SQL expertise. You will write production queries, build ad-hoc ETLs and conduct data validations as needed.

• Comfortable cleaning, joining, and validating multi-source datasets and communicating data limitations.

• Excellent written and verbal communication; experience preparing slide-ready charts/tables for leadership audiences.

• Demonstrated ability to partner with non-technical stakeholders and translate business questions into data requirements.

• Strong Python and automation experience is a plus.

• Prior experience with HRIS/ATS/payroll data is a plus but not required.

Workplace & Location

This role is based in our San Francisco office, and we aren’t considering remote applications at this time. We do encourage you to apply even if you prefer a fully remote role as location factors may change over time.

We offer relocation support to new employees, and we use a hybrid model: three days in the office per week with optional work from home on Thursdays and Fridays.

Our open-plan offices have height-adjustable desks, conference rooms, phone booths, well-stocked kitchens full of snacks and drinks, three in-house prepared meals daily, a private outdoor space for working in the sun or socializing, nap rooms, private bike storage, and more.

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 ensure that our products are developed and used responsibly.

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Location

San Francisco

Employment Type

Full time

Department

IT

Compensation

• $257K – $327K • 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

SaaS Enablement & Governance (SEG) sits within IT and owns the end to end SaaS and software lifecycle across the company, with a clear mandate to deliver strong governance without creating friction for the business. The team partners closely with Security, GRC, Procurement, Finance, Legal, and Engineering to ensure software is selected, approved, provisioned, and operated with clear standards for security, compliance, cost discipline, and operational clarity.

About the Role

We are seeking a Head of SEG to build and scale the company’s SaaS operating model. You will set strategy and execution across portfolio optimization, intake and approval, onboarding, enablement, and lifecycle governance, with clear ownership from adoption through decommissioning.

Responsibilities

Set direction and establish strong foundations

• Own the enterprise SaaS governance mandate as the company scales in size, regulatory exposure, and architectural complexity

• Define the enterprise SaaS portfolio strategy to drive disciplined growth, reuse, and risk reduction

• Establish clear standards for data handling, access control, and lifecycle ownership across the SaaS ecosystem

Build, operate, and scale reliably

• Bring operating discipline to SaaS lifecycle management, including intake, expansion, renewals, and decommissioning

• Establish trusted visibility into SaaS portfolio composition, TCO, ownership, and risk posture

• Ensure governance maturity aligns with audit, regulatory, and security expectations

Automate for leverage and safety

• Replace manual, exception driven governance with scalable, policy encoded operating mechanisms

• Ensure governance standards remain enforced as adoption scales and use cases expand

• Deliver executive level transparency into portfolio risk, utilization, and cost trends

Enable reuse at scale

• Ensure approved platforms are adopted quickly and consistently

• Reduce net new tool proliferation through strong enablement and clear portfolio standards

• Support controlled use case expansion without introducing unmanaged risk

Partner and lead through influence

• Align Security, Finance, Legal, Engineering, and Procurement around a single SaaS governance model

• Navigate tradeoffs between speed, cost, and risk

Requirements

• 10+ years of experience in SaaS operations, IT, or a related field

• Proven track record of building and scaling SaaS operating models

• Strong understanding of SaaS governance, security, and compliance

• Excellent leadership and communication skills

• Ability to navigate complex technical and business tradeoffs

Preferred Qualifications

• Experience with cloud-based SaaS platforms

• Familiarity with DevOps and continuous integration/continuous deployment (CI/CD) pipelines

• Knowledge of security and compliance frameworks, such as NIST and HIPAA

• Experience with data analytics and business intelligence tools

What We Offer

• Competitive salary and benefits package

• Opportunity to work with a cutting-edge technology company

• Collaborative and dynamic work environment

• Professional development and growth opportunities

• Recognition and rewards for outstanding performance

How to Apply

If you are a motivated and experienced professional looking to join a dynamic team, 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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San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Strategic Finance

Compensation

• $293K – $325K • 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 OpenAI

OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals together under one organization to accomplish this.

We're building the most advanced AI models and platforms, making it easy for developers and customers to benefit from AI via our suite of products.

OpenAI is expanding into consumer hardware to explore new human-computer interaction experiences. Success in hardware requires world-class financial stewardship across the entire product cost stack, from early design and sourcing decisions to scaled manufacturing and lifecycle cost optimization.

About the Team

The Strategic Finance team provides financial insights and guidance to support the organization's long-term goals and strategies. We partner across the business to allocate and deploy our resources for the highest impact outcomes.

About the Role

We are hiring a senior Hardware Finance Leader to own financial modeling for product cost, inventory, and manufacturing economics for OpenAI’s consumer hardware portfolio. This role is responsible for ensuring that hardware decisions—spanning capacity planning, manufacturing ramps, and inventory builds—are grounded in rigorous, decision-quality financial analysis before capital and material commitments are locked in.

This role sits at the center of Supply Chain, Operations, Manufacturing, Procurement, Product, Accounting, and Tax, and serves as the embedded finance partner for hardware cost, inventory, and capital-commitment decisions. You will build the financial foundation that enables leadership to understand margins, inventory exposure, and downside risk as hardware programs move from NPI through launch and scale.

We have a strong preference for candidates who can be based in our San Francisco HQ. 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 oversee multiple areas of responsibility:

• Serve as the primary finance partner to Supply Chain, Operations, Manufacturing, and Procurement, shaping decisions on capacity planning, ramp profiles, and material commitments.

• Build and own integrated financial models that track COGS, inventory, working capital, cash flow, and P&L across the full hardware lifecycle.

• Model and maintain detailed cost drivers, including BOM structure, CapEx, freight and logistics, yield assumptions, manufacturing variances, tariffs and import duties, warranty accruals, and inventory reserves.

• Own inventory and cash-flow forecasting tied to manufacturing execution, including inventory builds, reserves, obsolescence risk, and launch readiness.

• Maintain cost and risk sensitivity frameworks across volume, yield, ramp timing, mix, and cost-down realization to enable clear, decision-ready tradeoffs.

• Translate product roadmaps and supply-chain plans into financially grounded execution plans, clearly quantifying the financial implications of capacity and ramp decisions.

• Own scenario analysis for volume changes, ramp shifts, and supply-chain disruptions, including impacts to margins, inventory exposure, and cash flow.

• Establish clear escalation paths for material cost increases or inventory risk prior to supplier, tooling, or capacity commitment.

• Establish portfolio-level consistency and governance, ensuring standard costs, inventory metrics, and manufacturing economics are accurate and comparable across programs and generations.

• Partner closely with Accounting, Tax, and Corporate Finance to ensure hardware COGS and inventory exposure are reflected correctly in the P&L and balance sheet, supported by clear standard-cost methodologies, reserve frameworks, tariff accounting, and scal

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Location

San Francisco

Employment Type

Full time

Department

Finance

Compensation

• $216K – $240K • 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

The Internal Controls function sits within the broader Finance Risk Management (FRM) organization and plays a key role in strengthening the integrity, scalability, and reliability of OpenAI’s finance-critical operations.

Our team designs and governs the Internal Controls over Financial Reporting (ICFR) framework that supports accurate, transparent financial results. We focus on business-process controls across areas like Order-to-Cash, Compute, Data, Global Financial Close, Accounting Operations, Real Estate and AI infrastructure-related spend. We work closely with Product, GTM, Corporate Finance, Legal, BizOps, Strategic Finance, Accounting, Finance Platforms and Compliance to ensure processes are well-designed, well-documented, and audit-ready.

FRM, as the broader function, leads OpenAI’s financial risk posture—spanning governance over internal controls, third-party risk, audit readiness, and financial systems oversight. Together, we provide the foundation of trust that enables OpenAI to operate at global scale.

About the Role

We’re seeking a Senior Manager, Financial Risk Management to shape and scale the readiness frameworks and ways of working that underpin OpenAI’s SOX/ICFR program and broader FRM priorities. This is a highly cross-functional role for someone who can translate ambiguity into clear standards, expectations, and decision paths—so workstream owners can move quickly and consistently.

You’ll be a core partner to Finance, Systems, and operational leaders—aligning stakeholders, driving remediation progress, and turning complex, multi-team efforts into crisp leadership updates and decision asks. Success in this role requires strong judgment, clear communication, and the ability to drive outcomes through influence.

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:

• Build and scale the ICFR readiness framework (standards, playbooks, governance, and review cadences) that ensures business-process controls stay consistent, auditable, and scalable as OpenAI grows.

• Lead process/controls design for key finance and spend domains for your assigned pillars (e.g. Revenue, Compute, Financial Close, Accounting Operations), translating complex workflows into clear risks, controls, and ownership models.

• Drive risk assessments and control rationalization (what matters most, where to automate, where to simplify), using data and business context to focus effort on highest-impact reporting risks.

• Run targeted assessments for new/changed areas and translate them into clear expectations, owners, and timelines.

• Provide governance and oversight of the Big 4 provider’s execution of RCMs, narratives, and end-to-end process documentation, ensuring that all documentation is accurate, up-to-date, and fully prepared for testing—clearly articulating evidence requirements and system dependencies.

• Oversee issue management and remediation for your process areas, ensuring deficiencies are root-caused, fixed at the system or process level, and sustainably closed.

• Serve as primary liaison for audits and internal stakeholders for your domains—anticipating requests, aligning on PBC expectations, and communicating control health, risks, and progress through clear metrics and reporting.

• Partner with workstream leads and co-sourced teams to ensure outputs are consistent, high-quality, and leadership-ready.

You might thrive in this role if you have:

• Bachelor’s or Master’s degree in Accounting, Finance, Business Administration, or a related field; CPA, CA, CISA or equivalent strongly preferred.

• 10+ years of experience in financial risk management, internal audit, or financial process transformation, preferably in high-growth, technology-enabled or product-driven env

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Location

San Francisco

Employment Type

Full time

Department

Data Science

Compensation

• $293K – $515K • 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 mission is to ensure AGI benefits all of humanity. The API organization is one of the highest-leverage ways we do that: we put frontier intelligence in the hands of builders who turn it into products, businesses, and services that reach people everywhere.

About the Role

As a Data Scientist on the API team, you’ll build the measurement systems that make our platform legible and improveable. You’ll define the metrics that matter, identify and quantify developer friction, evaluate launches and platform changes, and translate data into product decisions that improve reliability and developer outcomes at scale.

Responsibilities

• Own the core KPI framework for the API platform, spanning developer adoption, engagement, retention, and platform health.

• Build end-to-end funnels that identify where developers succeed or get stuck—from first integration through scaling to production.

• Define and operationalize platform guardrails (e.g., reliability, latency, error rates, cost/efficiency) and connect them to user outcomes.

• Design and evaluate experiments and rollouts to quantify the impact of platform and product changes.

• Partner with product and engineering teams to improve instrumentation, data quality, and metric definitions so decisions are fast and correct.

• Translate complex analysis into clear, actionable insights for leadership and cross-functional stakeholders.

• Develop and socialize dashboards, tools, and self-serve data products that help teams answer product questions quickly.

• Help establish data science standards and best practices for measuring AI platform performance and developer success.

• Partner with other data scientists across the company to share learnings and raise the bar on measurement and decision-making.

Requirements

• 10+ years of experience in data science roles within product or technology organizations (platform or developer-facing experience is a plus).

• Expertise in statistics and causal inference, applied in both experimentation and observational 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 datasets, metrics, and data pipelines that power production decision-making.

• Experience developing and extracting insights from business intelligence tools (e.g., Tableau) and building self-serve solutions.

• Strong product sense and an impact-driven mindset: you turn ambiguity into crisp frameworks that drive roadmap decisions.

• Ability to build relationships with diverse stakeholders and cultivate strong partnerships across Product, Engineering, Research, and GTM teams.

• Strong communication skills, including the ability to bridge technical and non-technical audiences.

• Ability to operate effectively in a fast-moving, ambiguous environment with limited structure.

Nice to Have

• Are consistently among the first to adopt the latest AI tools, you use them daily to increase your own throughput, and you proactively turn them into

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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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Engineering Manager, Identity Infrastructure

Location

San Francisco

Employment Type

Full time

Department

Applied AI

Compensation

• $293K – $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.

• 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

Identity is the foundation of trust in an AI-powered world. As people build a rich personal and organisational context in ChatGPT, they need systems that protect it, remember it, and let them share it securely across apps and agents. Without strong identity, context stays locked away or exposed. With it, AI becomes safe, personal, and truly useful, empowering users while keeping control firmly in their hands. Our team builds the trusted OpenAI account layer that connects people, enterprises, developers, and agents to OpenAI apps and the broader AI ecosystem. Our systems are the front door to OpenAI—held to an exceptionally high bar for availability, security, and latency—and are depended on by many internal teams.

About the Role

As an Engineering Manager, Identity Infrastructure, you will lead a team owning foundational identity services that must be highly reliable, secure, and fast under extreme load. You’ll set direction, grow and support the team, and partner closely across engineering and security to strengthen the platform that enables trusted access to OpenAI products.

We’re looking for people who combine strong infrastructure depth with people leadership—someone who can guide technical strategy, run reliable operations, and build a high-performing team delivering mission-critical systems.

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.

What You’ll Do:

• Build, lead, and develop a high-performing engineering team. Coach and mentor engineers and senior technical leads to increase their impact and support their growth.

• Define and own the technical strategy, roadmap, and execution for OpenAI’s core identity systems.

• Guide the architecture of distributed systems operating at massive scale, with high requirements for reliability, privacy, and performance.

• Partner closely with Product and Infrastructure teams to support new product needs and uphold high system standards.

• Ensure the team operates effectively, maintains strong engineering rigor, and consistently delivers against ambitious goals.

• Establish processes and a culture that enable fast learning, high trust, and responsible innovation.

• Lead the team responsible for the authentication stack and token exchange infrastructure, ensuring high availability, strong security posture, and low-latency performance.

• Own and improve request validation at the edge for logged-in users, delivering extremely high reliability and fast validation under high throughput.

• Oversee systems that enable secure access to user data, improving scalability, reliability, and access patterns for internal consumers across the company.

You might thrive in this role if you:

• Have 3+ years of experience managing high-performance engineering teams in fast-paced, rapidly shifting environments.

• Have 10+ years of experience building, scaling, and operating distributed systems at large scale.

• Care deeply about people leadership, coaching, and helping engineers achieve peak performance.

• Communicate clearly, think holistically, and make decisions grounded in both user needs and long-term sustainability.

• Have experience managing an infrastructure team and are effective at hiring, coaching, and developing engineers while maintaining strong operational excellence.

• Have deep experience building and operating high-scale backend systems, with a track record of improving reliability, latency, and security in production.

• Bring broad infrastructure expertise across the stack—from hardware and cluster management to services and storage layers.

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 artificial general intelligence and work to align its development with human values. Our mission is to create a world where AI is a powerful tool for humanity, and we believe that this requires a multidisciplinary approach to research and development. We are committed to transparency and open communication, and we believe that sharing our knowledge and insights with the world is essential to advancing the field of AI. We are a team of researchers, engineers, and designers who are passionate about creating a future where AI is a force for good. We are based in San Francisco, California, and we are proud to be a part of the vibrant tech community in the Bay Area. We are committed to diversity, equity, and inclusion, and we believe that a diverse and inclusive team is essential to creating a better future for all. We are always looking for talented individuals who share our vision and values, and we encourage you to join our team and help us shape the future of AI.

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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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Microsoft Advertising are looking for a talented Senior Analytical Lead at their Los Angeles office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising digital advertising technology. You'll work directly with leadership to shape the company's direction in the digital advertising market.

About the Role

As a Senior Analytical Lead, you will leverage your passion about data to help shape business strategy and drive tactical outcomes. Your work will encompass thought-leading insights and actionable recommendations, that are shared with our customers, to drive outstanding marketing performance and draw increased investment on our platform. You will be energized by collaboration and continually raise the bar with world-class analytics experiences.

Accountabilities

• Develop Influential Analytics: You will be the industry expert and thought leader and apply a consultative approach to provide expert guidance as well as leverage your comprehensive client knowledge to deliver credible and trustworthy analytics that influence decision makers by positioning compelling opportunities within the context of the MSA value proposition to create demand and evangelize what MSA has to offer.
• Partner Enablement Program Management: Manages several vendor consultants who are creating foundational insights to help scale insights to an ecosystem of managed partners and clients.

The Candidate we're looking for

Experience:

• 6+ years experience in statistics, mathematics, analytics, data science, engineering, computer science, marketing, business, data analysis and reporting, business intelligence, business and financial analysis, or related field OR equivalent experience.

Technical skills:

• 6+ years experience using tools such as PowerBI/Tableau, DAX, R, SQL for data manipulation and visualization on large datasets.

Personal attributes:

• Excellent analytical, problem-solving and partner management skills.

Benefits

• Competitive salary
• Comprehensive benefits package
• Opportunities for professional growth and development
• Collaborative and dynamic work environment

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Microsoft are looking for an Advertising Analytical Lead to join their team in Tokyo. This role involves generating insights and recommendations that directly benefit clients, enhancing their business performance and opening up new investment avenues on the Microsoft Advertising platform.

About the Role

As an Advertising Analytical Lead, you will synthesise industry knowledge, digital marketing expertise, and advanced analytical methods to craft compelling data stories that sway decision-makers using visualisations and narrative techniques. You will work within and across internal and client teams to deepen expertise in data sources, methodologies, models, analytical tools and processes, and business and client needs by industry vertical to deliver results.

Accountabilities

• Conduct in-depth market research across cinema and simulation sectors, identifying emerging trends, competitive threats, and partnership opportunities that directly inform the company's quarterly strategic planning sessions
• Leverage appropriate sources of data, determines optimal statistical methods for integrating data, and identifies and addresses gaps and/or quality issues in data, in partnership with both internal and client teams

The Candidate we're looking for

Experience:

• 6+ years experience in statistics, mathematics, analytics, data science, engineering, computer science, marketing, business, data analysis and reporting, business intelligence, business and financial analysis, or related field

Technical skills:

• 6+ years experience using tools such as PowerBI/Tableau, DAX, R, SQL for data manipulation and visualisation on large datasets

Personal attributes:

• Dynamic and creative critical thinking skills, with an ability to think outside of the box
• Solid ability to communicate complex analyses to a mix of both technical and non-technical partners and clients

Benefits

• Competitive salary
• Comprehensive benefits package
• Opportunities for professional development and growth
• Collaborative and dynamic work environment

XML job scraping automation by YubHub

Microsoft are looking for a talented Senior Growth Marketing Manager at their San Francisco office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising the tech industry. You'll work directly with leadership to shape the company's direction in the digital marketing and customer acquisition markets.

About the Role

As a Senior Growth Marketing Manager, you will be responsible for developing and executing high-impact strategies to drive customer acquisition, engagement, and retention. This role requires an individual with a solid analytical and entrepreneurial mindset and a proven track record in KPI-driven growth marketing utilizing a modern-day MarTech stack. The ideal candidate will have a deep understanding of digital marketing, customer journey design, and experimentation, with a focus on data-driven insights to drive campaign optimizations and efficiencies.

Accountabilities

• Develop and implement comprehensive marketing strategies that drive growth across the entire customer funnel from acquisition, engagement, to retention.
• Analyze and interpret complex data sets to establish key growth metrics and identify optimization opportunities to continually improve performance.

The Candidate we're looking for

Experience:

• 3+ years integrated marketing (e.g., digital, relationship, social media, campaign), event management, marketing strategy, business planning, marketing operations, or related work experience.

Technical skills:

• Data analysis or business intelligence tools (e.g., Excel, Power BI, Tableau) to inform strategic decisions or optimize business processes.
• Proficiency in SQL to write queries for data pulling and analysis.

Personal attributes:

• Ability to thrive in a fast-paced, dynamic environment and manage multiple high-priority projects simultaneously.

Benefits

• Competitive salary range: $106,400 - $203,600 per year.
• Benefits and other compensation.
• Opportunities for professional development and growth within the company.

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Microsoft AI are looking for a talented Senior Growth Marketing Manager at their Redmond office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

As a Senior Growth Marketing Manager, you will be responsible for developing and executing high-impact strategies to drive customer acquisition, engagement, and retention. This role requires an individual with a solid analytical and entrepreneurial mindset and a proven track record in KPI-driven growth marketing utilizing a modern-day MarTech stack. The ideal candidate will have a deep understanding of digital marketing, customer journey design, and experimentation, with a focus on data-driven insights to drive campaign optimizations and efficiencies.

Accountabilities

• Develop and implement comprehensive marketing strategies that drive growth across the entire customer funnel from acquisition, engagement, to retention.
• Analyze and interpret complex data sets to establish key growth metrics and identify optimization opportunities to continually improve performance.

The Candidate we're looking for

Experience:

• 3+ years integrated marketing (e.g., digital, relationship, social media, campaign), event management, marketing strategy, business planning, marketing operations, or related work experience.

Technical skills:

• Data analysis or business intelligence tools (e.g., Excel, Power BI, Tableau) to inform strategic decisions or optimize business processes.
• Proficiency in SQL to write queries for data pulling and analysis.

Personal attributes:

• Ability to thrive in a fast-paced, dynamic environment and manage multiple high-priority projects simultaneously.

Benefits

• Competitive salary
• Comprehensive benefits package
• Opportunities for professional growth and development
• Collaborative and dynamic work environment

XML job scraping automation by YubHub

Microsoft are looking for a talented Senior Growth Marketing Manager at their New York office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising the tech industry. You'll work directly with leadership to shape the company's direction in the software and services markets.

About the Role

As a Senior Growth Marketing Manager, you will be responsible for developing and executing high-impact strategies to drive customer acquisition, engagement, and retention. This role requires an individual with a solid analytical and entrepreneurial mindset and a proven track record in KPI-driven growth marketing utilizing a modern-day MarTech stack. The ideal candidate will have a deep understanding of digital marketing, customer journey design, and experimentation, with a focus on data-driven insights to drive campaign optimizations and efficiencies.

Accountabilities

• Develop and implement comprehensive marketing strategies that drive growth across the entire customer funnel from acquisition, engagement, to retention.
• Analyze and interpret complex data sets to establish key growth metrics and identify optimization opportunities to continually improve performance.

The Candidate we're looking for

Experience:

• 3+ years integrated marketing (e.g., digital, relationship, social media, campaign), event management, marketing strategy, business planning, marketing operations, or related work experience.

Technical skills:

• 3+ years of experience using data analysis or business intelligence tools (e.g., Excel, Power BI, Tableau) to inform strategic decisions or optimize business processes, with a proven track record of applying data to drive measurable outcomes.
• Proficiency in SQL to write queries for data pulling and analysis.

Personal attributes:

• Ability to thrive in a fast-paced, dynamic environment and manage multiple high-priority projects simultaneously.

Benefits

• Competitive salary
• Comprehensive benefits package
• Opportunities for professional growth and development
• Collaborative and dynamic work environment

XML job scraping automation by YubHub

Microsoft are looking for a talented Sales Operations Data Analyst at their Redmond office. This role sits at the heart of strategic decision-making, turning complex data into actionable insights for a company that's revolutionising the technology industry. You'll work directly with leadership to shape the company's direction in the technology market.

About the Role

This role turns complex data models into clear, intuitive reporting that leaders can understand at a glance. You'll build and maintain analytics products, pull and shape data across sources, and partner closely with senior colleagues to support high-quality insights and decision making. As a Sales Operations Data Analyst in Microsoft Advertising, you will build and maintain executive-ready dashboards and reporting that turn complex data models into clear, usable insights.

Accountabilities

• Own the design, development, and ongoing management of executive dashboards and reports.
• Build durable analytics products by understanding business priorities, integrating data across sources, and contributing to analytical frameworks that enable executive decision-making.

The Candidate we're looking for

Experience:

• Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field OR Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 2+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis OR equivalent experience.

Technical skills:

• Strong understanding of data visualization best practices
• 3+ years experience in data analysis, reporting, and visualization tools (e.g., experience with SQL and Power BI)

Personal attributes:

• Embody our culture and values

Benefits

• Competitive salary
• Comprehensive benefits package
• Opportunities for professional growth and development
• Collaborative and dynamic work environment

XML job scraping automation by YubHub

Microsoft Advertising are looking for a talented Senior Analytical Lead at their Atlanta office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising digital advertising technology. You'll work directly with leadership to shape the company's direction in the digital advertising market.

About the Role

As a Senior Analytical Lead, you will leverage your passion about data to help shape business strategy and drive tactical outcomes. Your work will encompass thought-leading insights and actionable recommendations, that are shared with our customers, to drive outstanding marketing performance and draw increased investment on our platform. You will be energized by collaboration and continually raise the bar with world-class analytics experiences.

Accountabilities

• Develop Influential Analytics: You will be the industry expert and thought leader and apply a consultative approach to provide expert guidance as well as leverage your comprehensive client knowledge to deliver credible and trustworthy analytics that influence decision makers by positioning compelling opportunities within the context of the MSA value proposition to create demand and evangelize what MSA has to offer.
• Partner Enablement Program Management: Manages several vendor consultants who are creating foundational insights to help scale insights to an ecosystem of managed partners and clients.

The Candidate we're looking for

Experience:

• 6+ years experience in statistics, mathematics, analytics, data science, engineering, computer science, marketing, business, data analysis and reporting, business intelligence, business and financial analysis, or related field OR equivalent experience.

Technical skills:

• 6+ years experience using tools such as PowerBI/Tableau, DAX, R, SQL for data manipulation and visualization on large datasets.
• 5+ years experience in relevant technical domain (e.g., cloud services, security), technical sales, marketing, product management, customer support, or cross-group/cross-functional engineering OR equivalent experience.

Personal attributes:

• Strong analytical and problem-solving skills.
• Excellent communication and interpersonal skills.
• Ability to work in a fast-paced environment and adapt to changing priorities.

Benefits

• Competitive salary and bonus structure.
• Comprehensive health and wellbeing benefits.
• Professional development opportunities.
• Flexible work arrangements.
• Access to cutting-edge technology and tools.
• Collaborative and dynamic work environment.

XML job scraping automation by YubHub

Microsoft Advertising are looking for a talented Senior Analytical Lead at their Redmond office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising digital advertising technology. You'll work directly with leadership to shape the company's direction in the digital advertising market.

About the Role

As a Senior Analytical Lead, you will leverage your passion about data to help shape business strategy and drive tactical outcomes. Your work will encompass thought-leading insights and actionable recommendations, that are shared with our customers, to drive outstanding marketing performance and draw increased investment on our platform. You will be energized by collaboration and continually raise the bar with world-class analytics experiences.

Accountabilities

• Develop Influential Analytics: You will be the industry expert and thought leader and apply a consultative approach to provide expert guidance as well as leverage your comprehensive client knowledge to deliver credible and trustworthy analytics that influence decision makers by positioning compelling opportunities within the context of the MSA value proposition to create demand and evangelize what MSA has to offer.
• Partner Enablement Program Management: Manages several vendor consultants who are creating foundational insights to help scale insights to an ecosystem of managed partners and clients.

The Candidate we're looking for

Experience:

• 6+ years experience in statistics, mathematics, analytics, data science, engineering, computer science, marketing, business, data analysis and reporting, business intelligence, business and financial analysis, or related field OR equivalent experience.

Technical skills:

• 6+ years experience using tools such as PowerBI/Tableau, DAX, R, SQL for data manipulation and visualization on large datasets.
• 5+ years experience in relevant technical domain (e.g., cloud services, security), technical sales, marketing, product management, customer support, or cross-group/cross-functional engineering OR equivalent experience.

Personal attributes:

• Strong analytical and problem-solving skills.
• Excellent communication and interpersonal skills.
• Ability to work in a fast-paced environment and adapt to changing priorities.

Benefits

• Competitive salary range: $120,000 - $180,000 per year.
• Comprehensive benefits package, including medical, dental, and vision insurance.
• 401(k) matching program.
• Paid time off and holidays.
• Opportunities for professional growth and development.

XML job scraping automation by YubHub

Microsoft AI are looking for a talented Senior Analytical Lead at their Boston office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising the AI industry. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

As a Senior Analytical Lead, you will be responsible for developing influential analytics that drive business strategy and drive tactical outcomes. You will leverage your passion about data to help shape business strategy and produce tangible results. Your work will encompass thought-leading insights and actionable recommendations, that are shared with our customers, to drive outstanding marketing performance and draw increased investment on our platform.

Accountabilities

• Develop Influential Analytics: You will be the industry expert and thought leader and apply a consultative approach to provide expert guidance as well as leverage your comprehensive client knowledge to deliver credible and trustworthy analytics that influence decision makers by positioning compelling opportunities within the context of the MSA value proposition to create demand and evangelize what MSA has to offer.
• Partner Enablement Program Management: Manages several vendor consultants who are creating foundational insights to help scale insights to an ecosystem of managed partners and clients.

The Candidate we're looking for

Experience:

• 6+ years experience in statistics, mathematics, analytics, data science, engineering, computer science, marketing, business, data analysis and reporting, business intelligence, business and financial analysis, or related field OR equivalent experience.

Technical skills:

• 6+ years experience using tools such as PowerBI/Tableau, DAX, R, SQL for data manipulation and visualization on large datasets.
• 5+ years experience in relevant technical domain (e.g., cloud services, security), technical sales, marketing, product management, customer support, or cross-group/cross-functional engineering OR equivalent experience.

Personal attributes:

• Strong analytical and problem-solving skills.
• Excellent communication and interpersonal skills.
• Ability to work in a fast-paced environment and adapt to changing priorities.

Benefits

• Competitive salary and benefits package.
• Opportunity to work with a leading provider of AI solutions.
• Collaborative and dynamic work environment.
• Professional development opportunities.
• Flexible work arrangements.

XML job scraping automation by YubHub

Microsoft Advertising are looking for a talented Senior Analytical Lead at their Mountain View office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising digital advertising technology. You'll work directly with leadership to shape the company's direction in the digital advertising market.

About the Role

As a Senior Analytical Lead, you will leverage your passion about data to help shape business strategy and drive tactical outcomes. Your work will encompass thought-leading insights and actionable recommendations, that are shared with our customers, to drive outstanding marketing performance and draw increased investment on our platform. You will be energized by collaboration and continually raise the bar with world-class analytics experiences.

Accountabilities

• Develop Influential Analytics: You will be the industry expert and thought leader and apply a consultative approach to provide expert guidance as well as leverage your comprehensive client knowledge to deliver credible and trustworthy analytics that influence decision makers by positioning compelling opportunities within the context of the MSA value proposition to create demand and evangelize what MSA has to offer.
• Partner Enablement Program Management: Manages several vendor consultants who are creating foundational insights to help scale insights to an ecosystem of managed partners and clients.

The Candidate we're looking for

Experience:

• 6+ years experience in statistics, mathematics, analytics, data science, engineering, computer science, marketing, business, data analysis and reporting, business intelligence, business and financial analysis, or related field OR equivalent experience.

Technical skills:

• 6+ years experience using tools such as PowerBI/Tableau, DAX, R, SQL for data manipulation and visualization on large datasets.

Personal attributes:

• Strong analytical and problem-solving skills.
• Excellent communication and interpersonal skills.

Benefits

• Competitive salary and benefits package.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

XML job scraping automation by YubHub

Microsoft Advertising are looking for an Analytical Lead who is driven by data and its potential to influence business strategies and produce tangible results.

About the Role

As an Analytical Lead, you will generate insights and recommendations that directly benefit our clients, enhancing their business performance and opening up new investment avenues on our Microsoft Advertising platform. Your role involves synthesizing industry knowledge, digital marketing expertise, and advanced analytical methods to craft compelling data stories that sway decision-makers using visualizations and narrative techniques. You should possess solid analytical, problem-solving, and consulting abilities, along with a proactive, challenging mindset and excellent partnership management skills.

Accountabilities

• Conduct in-depth market research across cinema and simulation sectors, identifying emerging trends, competitive threats, and partnership opportunities that directly inform the company's quarterly strategic planning sessions
• Leverage appropriate sources of data, determines optimal statistical methods for integrating data, and identifies and addresses gaps and/or quality issues in data, in partnership with both internal and client teams

The Candidate we're looking for

Experience:

• 2+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis OR equivalent experience

Technical skills:

• 2+ years experience using tools such as PowerBI/Tableau, DAX, R, SQL for data manipulation and visualization on large datasets

Personal attributes:

• Dynamic and creative critical thinking skills, with an ability to think outside of the box

Benefits

• Solid ability to communicate complex analyses to a mix of both technical and non-technical partners and clients
• Experience utilizing analytical tools to turn massive, dynamic datasets into actionable insights

XML job scraping automation by YubHub

Microsoft Advertising are looking for a talented Senior Analytical Lead at their Chicago office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising digital advertising technology. You'll work directly with leadership to shape the company's direction in the digital advertising market.

About the Role

As a Senior Analytical Lead, you will leverage your passion about data to help shape business strategy and drive tactical outcomes. Your work will encompass thought-leading insights and actionable recommendations, that are shared with our customers, to drive outstanding marketing performance and draw increased investment on our platform. You will be energized by collaboration and continually raise the bar with world-class analytics experiences.

Accountabilities

• Develop Influential Analytics: You will be the industry expert and thought leader and apply a consultative approach to provide expert guidance as well as leverage your comprehensive client knowledge to deliver credible and trustworthy analytics that influence decision makers by positioning compelling opportunities within the context of the MSA value proposition to create demand and evangelize what MSA has to offer.
• Partner Enablement Program Management: Manages several vendor consultants who are creating foundational insights to help scale insights to an ecosystem of managed partners and clients.

The Candidate we're looking for

Experience:

• 6+ years experience in statistics, mathematics, analytics, data science, engineering, computer science, marketing, business, data analysis and reporting, business intelligence, business and financial analysis, or related field OR equivalent experience.

Technical skills:

• 6+ years experience using tools such as PowerBI/Tableau, DAX, R, SQL for data manipulation and visualization on large datasets.
• 5+ years experience in relevant technical domain (e.g., cloud services, security), technical sales, marketing, product management, customer support, or cross-group/cross-functional engineering OR equivalent experience.

Personal attributes:

• Strong analytical and problem-solving skills.
• Excellent communication and interpersonal skills.
• Ability to work in a fast-paced environment and prioritize multiple tasks.

Benefits

• Competitive salary and bonus structure.
• Comprehensive health and wellbeing benefits.
• Professional development opportunities.
• Financial benefits (bonus, equity, pension, etc.).
• Cultural perks (team events, office amenities, etc.).

XML job scraping automation by YubHub

Microsoft AI are looking for a talented Measurement Lead to join their team in Redmond. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising the AI industry. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

As a Measurement Lead, you will be responsible for developing and applying measurement frameworks to quantify advertising impact. You will partner with internal and external stakeholders to understand measurement needs, goals, and business outcomes for advertisers. You will also build and maintain solid relationships with client's measurement, data science, and analytics teams as trusted strategic advisors.

Accountabilities

• Partner with internal and external stakeholders to understand measurement needs, goals, and business outcomes for advertisers.
• Develop and apply measurement frameworks — including attribution, incrementality, experimentation, cross-channel measurement, and insights — to quantify advertising impact.

The Candidate we're looking for

Experience:

• Master's Degree in Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 3+ years experience in data analysis and reporting, business intelligence, or business and financial analysis OR Bachelor's Degree in Statistics, Finance, Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 4+ years experience in data analysis and reporting, business intelligence, or business and financial analysis OR equivalent experience.

Technical skills:

• Proven expertise in modern measurement methodologies such as attribution, incrementality, experimentation design, and lift studies.
• Ability to translate complex data and analysis into business insights and strategic recommendations.

Personal attributes:

• Solid cross-functional collaboration and communication skills.
• Experience in digital platforms or advertising measurement roles at scale.

Benefits

• Competitive salary range of USD $106,400 – $203,600 per year.
• Comprehensive benefits package including health insurance, retirement plan, and paid time off.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

XML job scraping automation by YubHub

Microsoft Advertising are looking for a talented Senior Analytical Lead at their Detroit office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising digital advertising technology. You'll work directly with leadership to shape the company's direction in the digital advertising market.

About the Role

As a Senior Analytical Lead, you will leverage your passion about data to help shape business strategy and drive tactical outcomes. Your work will encompass thought-leading insights and actionable recommendations, that are shared with our customers, to drive outstanding marketing performance and draw increased investment on our platform. You will be energized by collaboration and continually raise the bar with world-class analytics experiences.

Accountabilities

• Develop Influential Analytics: You will be the industry expert and thought leader and apply a consultative approach to provide expert guidance as well as leverage your comprehensive client knowledge to deliver credible and trustworthy analytics that influence decision makers by positioning compelling opportunities within the context of the MSA value proposition to create demand and evangelize what MSA has to offer.
• Partner Enablement Program Management: Manages several vendor consultants who are creating foundational insights to help scale insights to an ecosystem of managed partners and clients.

The Candidate we're looking for

Experience:

• 6+ years experience in statistics, mathematics, analytics, data science, engineering, computer science, marketing, business, data analysis and reporting, business intelligence, business and financial analysis, or related field OR equivalent experience.

Technical skills:

• 6+ years experience using tools such as PowerBI/Tableau, DAX, R, SQL for data manipulation and visualization on large datasets.
• 5+ years experience in relevant technical domain (e.g., cloud services, security), technical sales, marketing, product management, customer support, or cross-group/cross-functional engineering OR equivalent experience.

Personal attributes:

• Strong analytical and problem-solving skills.
• Excellent communication and interpersonal skills.
• Ability to work in a fast-paced environment and adapt to changing priorities.

Benefits

• Competitive salary and bonus structure.
• Comprehensive health and wellbeing benefits.
• Professional development opportunities.
• Flexible work arrangements.
• Access to cutting-edge technology and tools.
• Collaborative and dynamic work environment.

XML job scraping automation by YubHub

Microsoft Advertising are looking for an Analytical Lead who is driven by data and its potential to influence business strategies and produce tangible results.

About the Role

As an Analytical Lead, you will generate insights and recommendations that directly benefit our clients, enhancing their business performance and opening up new investment avenues on our Microsoft Advertising platform. Your role involves synthesizing industry knowledge, digital marketing expertise, and advanced analytical methods to craft compelling data stories that sway decision-makers using visualizations and narrative techniques. You should possess solid analytical, problem-solving, and consulting abilities, along with a proactive, challenging mindset and excellent partnership management skills.

Accountabilities

• Conduct in-depth market research across cinema and simulation sectors, identifying emerging trends, competitive threats, and partnership opportunities that directly inform the company's quarterly strategic planning sessions
• Leverage appropriate sources of data, determines optimal statistical methods for integrating data, and identifies and addresses gaps and/or quality issues in data, in partnership with both internal and client teams

The Candidate we're looking for

Experience:

• 2+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis OR equivalent experience

Technical skills:

• 2+ years experience using tools such as PowerBI/Tableau, DAX, R, SQL for data manipulation and visualization on large datasets

Personal attributes:

• Dynamic and creative critical thinking skills, with an ability to think outside of the box

Benefits

• Solid ability to communicate complex analyses to a mix of both technical and non-technical partners and clients
• Experience utilizing analytical tools to turn massive, dynamic datasets into actionable insights

XML job scraping automation by YubHub

Microsoft are looking for a talented Sr. Sales Operations Business Analyst at their Redmond office. This role sits at the heart of executive decision-making, turning complex executive-level questions into insights that shape business decisions and inform what the organization does next.

About the Role

As a Senior Sales Operations Business Analyst in Microsoft Advertising, you will partner closely with managers and executive leaders to analyze complex business questions, deliver insights, and inform critical decisions. You will shape analyses end to end, synthesizing data, developing clear recommendations, and helping leaders determine next steps that drive organizational outcomes.

Accountabilities

• Build a deep understanding of the business across multiple domains to anticipate business problems and identify analytical solutions.
• Translate evolving business needs into clear data requirements; determine new data sources needed and proactively address data gaps or quality issues.

The Candidate we're looking for

Experience:

• Master’s Degree in Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 3+ years’ experience in data analysis and reporting, business intelligence, or business and financial analysis OR Bachelor’s Degree in Statistics, Finance, Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 4+ years’ experience in data analysis and reporting, business intelligence, or business and financial analysis OR equivalent experience

Technical skills:

• Strong analytical and problem-solving skills
• Proficiency in data analysis and reporting tools such as Excel, SQL, and data visualization tools
• Experience with data management and data governance principles

Personal attributes:

• Strong communication and presentation skills
• Ability to work effectively in a team environment
• Strong analytical and problem-solving skills

Benefits

• Competitive salary
• Comprehensive benefits package
• Opportunities for professional growth and development
• Collaborative and dynamic work environment

XML job scraping automation by YubHub

Microsoft Advertising are looking for an Analytical Lead who is driven by data and its potential to influence business strategies and produce tangible results.

About the Role

As an Analytical Lead, you will generate insights and recommendations that directly benefit our clients, enhancing their business performance and opening up new investment avenues on our Microsoft Advertising platform. Your role involves synthesizing industry knowledge, digital marketing expertise, and advanced analytical methods to craft compelling data stories that sway decision-makers using visualizations and narrative techniques. You should possess solid analytical, problem-solving, and consulting abilities, along with a proactive, challenging mindset and excellent partnership management skills.

Accountabilities

• Conduct in-depth market research across cinema and simulation sectors, identifying emerging trends, competitive threats, and partnership opportunities that directly inform the company's quarterly strategic planning sessions
• Develop elements of internal and client-facing presentations that tell stories of analyses, reports, data visualizations, self-service platforms, key performance metrics, and talking points

The Candidate we're looking for

Experience:

• 2+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis OR equivalent experience

Technical skills:

• 2+ years experience using tools such as PowerBI/Tableau, DAX, R, SQL for data manipulation and visualization on large datasets

Personal attributes:

• Dynamic and creative critical thinking skills, with an ability to think outside of the box

Benefits

• Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week

XML job scraping automation by YubHub

Microsoft Ads are looking for a talented Measurement Lead at their San Francisco office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising advertising technology. You'll work directly with leadership to shape the company's direction in the measurement and insights markets.

About the Role

We are seeking a Measurement Lead to join the Global Measurement and Insights (GMI) team and serve as a measurement, data and identity subject-matter expert, executing on measurement strategy and leveraging measurement solutions to empower advertisers to prove business impact in a privacy-safe world. You will play a pivotal role in shaping how advertisers quantify media effectiveness, develop advanced measurement approaches, and leverage data and identity to drive better decisions across Microsoft AI-enabled surfaces.

Accountabilities

• Partner with internal and external stakeholders to understand measurement needs, goals, and business outcomes for advertisers.
• Develop and apply measurement frameworks — including attribution, incrementality, experimentation, cross-channel measurement, and insights — to quantify advertising impact.

The Candidate we're looking for

Experience:

• Master’s Degree in Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 3+ years experience in data analysis and reporting, business intelligence, or business and financial analysis OR Bachelor’s Degree in Statistics, Finance, Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 4+ years experience in data analysis and reporting, business intelligence, or business and financial analysis OR equivalent experience.

Technical skills:

• Proven expertise in modern measurement methodologies such as attribution, incrementality, experimentation design, and lift studies.
• Ability to translate complex data and analysis into business insights and strategic recommendations.

Personal attributes:

• Solid cross-functional collaboration and communication skills.
• Experience in digital platforms or advertising measurement roles at scale.

Benefits

• Competitive salary range: $106,400 - $203,600 per year.
• Comprehensive benefits package, including health insurance, retirement plan, and paid time off.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

XML job scraping automation by YubHub

Microsoft Advertising are looking for an Analytical Lead who is driven by data and its potential to influence business strategies and produce tangible results.

About the Role

As an Analytical Lead, you will generate insights and recommendations that directly benefit our clients, enhancing their business performance and opening up new investment avenues on our Microsoft Advertising platform. Your role involves synthesizing industry knowledge, digital marketing expertise, and advanced analytical methods to craft compelling data stories that sway decision-makers using visualizations and narrative techniques. You should possess solid analytical, problem-solving, and consulting abilities, along with a proactive, challenging mindset and excellent partnership management skills.

Accountabilities

• Conduct in-depth market research across cinema and simulation sectors, identifying emerging trends, competitive threats, and partnership opportunities that directly inform the company's quarterly strategic planning sessions
• Determine appropriate analytical techniques to address business questions, execute analyses and interpret results with actionable recommendations, and partner to build on others' analyses and forecasting

The Candidate we're looking for

Experience:

• 2+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis OR equivalent experience

Technical skills:

• 2+ years experience using tools such as PowerBI/Tableau, DAX, R, SQL for data manipulation and visualization on large datasets

Personal attributes:

• Dynamic and creative critical thinking skills, with an ability to think outside of the box

Benefits

• Solid ability to communicate complex analyses to a mix of both technical and non-technical partners and clients
• Experience utilizing analytical tools to turn massive, dynamic datasets into actionable insights

XML job scraping automation by YubHub