Join our team as an FP&A Analyst and play a central part in driving the company's financial planning, budgeting, and performance analysis. You will transform raw data into actionable insights through robust financial modeling and collaborative reporting.

Responsibilities

• Create and maintain monthly, quarterly and yearly financial and reporting presentations for senior management.
• Assist in developing financial forecasting models and creating annual budgets.
• Partner with all department heads to review actual versus budget performance, track and report KPIs by analyzing the results and providing recommendations.
• Analyze pricing strategies to optimize sales and profit margins.
• Develop ad-hoc reports and projects as needed.

Requirements

• 4+ years' experience in finance role, retail or toy industry preferred.
• Retail/Toy Expertise: Understanding of margin analysis including Gross-to-Net calculations (allowances, rebates, and freight-out).
• Pricing & Margin Analysis.
• Must be flexible, open to new direction and willing to receive feedback.
• Expert proficiency in Excel (VBA/Power Query preferred) and PowerPoint for executive-level financial presentations.
• Proficiency in ERP systems (e.g., NetSuite, SAP, or Microsoft Dynamics) and BI tools (e.g., Tableau or Power BI) for data visualization.
• Analytical, critical thinking skills and attention to detail.
• Excellent communication, time management and organizational skills.
• Willing to collaborate with others and promote a positive work environment.

What we're looking for

This position requires a strong background in financial planning and analysis with a specific focus on consumer goods or wholesale distribution.

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The responsibilities In this role, you will be expected to support and enhance Polestar's working capital operations. Working as a member of the Group Treasury team, you will be instrumental in managing financing facilities, improving reporting and control processes, and ensuring that our markets have the working capital needed for day-to-day operations. Below is a summary of the main responsibilities:

• Support inventory financing operations by maintaining financing demand per subsidiary and executing daily drawdowns, repayments, and related SOX controls.
• Contribute to the Group's overdue management process by preparing accurate Accounts Receivable overdue reports and analyses.
• Operate and manage factoring programs that accelerate cash inflows for markets.
• Coordinate documentation, approvals, and credit assessments required for working capital facilities.
• Maintain and enhance working capital dashboards and KPIs used for internal and lender reporting.
• Prepare governance materials for internal stakeholders and external financial partners.
• Act as a key point of contact during Working Capital Audits.
• Support implementation projects such as new facility setups, new logistics flows, or changes to invoicing structures.
• Ensure that Treasury systems, including Kyriba, reflect accurate utilisation, limits, forecasts, and headroom data.
• Deliver recurring reporting packages, including weekly utilisation overviews, monthly financing demand forecasts, and quarterly business plan updates.

The ideal candidate To succeed in this role, and at Polestar in general, there are a few characteristics you will need. Tenacity, flexibility, and curiosity. A structured way of working combined with the ability to handle complex financial information and manage multiple tasks with accuracy. You engage confidently with stakeholders across functions and cultures, and you are comfortable operating in a high-pace environment where details matter and collaboration is essential.

In addition, you will need the following qualifications:

• A master's degree in Finance, Accounting, Economics, Business Administration, or another relevant field.
• At least two years of experience in working capital, treasury operations, forecasting, or financial analysis, enabling you to contribute from day one.
• Strong analytical capabilities and proficiency in financial analysis, forecasting, and internal controls, since these skills directly support liquidity planning and accuracy.
• High proficiency in Excel and experience working with BI tools such as Power BI to deliver meaningful insights.
• Understanding of accounting principles and the link between operational activities and financial outcomes.
• Experience with SOX-related controls and audit processes, which is crucial for ensuring compliance and data integrity.
• Confidence in working with senior stakeholders, including subsidiary CFOs, and the ability to communicate complex financial topics clearly.
• Experience with Treasury Management Systems such as Kyriba, or a strong willingness to learn.
• Familiarity with working capital instruments like factoring, AR financing, and revolving credit facilities.

Polestar is an international company, with various backgrounds represented. English is the language of written and spoken communication. And even though we are global, we maintain a growth mindset. Change happens often at Polestar. But so does progress. Expect an accelerating, exciting environment.

The process If the above matches your ambitions, be sure to apply. Our selection process is ongoing, and the job advert will remain open until it is filled.

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Key Responsibilities:

• Serve as the strategic connective tissue between Business Development and Product on Nitro partnerships, ensuring alignment on deal priorities, product capabilities, and go-to-market strategy
• Provide analytical support to Consumer Revenue leadership by building reporting, surfacing insights on partnership performance, and delivering data-driven recommendations that inform business decisions
• Partner with Finance on financial modeling for Nitro partnership deals, building and maintaining models that inform deal structure, revenue projections, and partnership economics
• Stand up and run the Consumer Revenue deal desk, defining red lines on term sheets, establishing approval frameworks, and creating clear guardrails on what we will and won't allow in partnership agreements
• Lead pricing strategy and analysis for Nitro, managing the semi-annual pricing cycle and building the analytical foundation to support pricing decisions
• Develop and maintain dashboards and ad hoc analyses that give Business Development and Product teams visibility into partner revenue trends, deal pipeline health, and key performance metrics
• Manage operational workflows across Accounting, Legal, and other cross-functional partners to ensure deals move from signed term sheet to revenue recognition smoothly
• Document and codify deal policies, pricing frameworks, and operational processes as the function matures

Requirements:

• 4 to 6 years of experience in strategy and operations, deal operations, revenue operations, or strategic finance
• Strong financial modeling skills with the ability to build deal models, scenario analysis, and partnership economics from scratch
• Proven ability to turn ambiguous business questions into structured analyses and clear recommendations
• Experience standing up or managing a deal desk function, including defining deal terms, approval workflows, and pricing guardrails
• Ability to operate across multiple stakeholders (Business Development, Product, Marketing, Engineering, Legal, Finance, and Accounting) and drive alignment without direct authority
• Sharp analytical skills with proficiency with SQL, python, BI Tools, and Excel/Sheets.
• Proficient with AI tools such as Claude, Claude Code, Cursor, etc
• Strong written and verbal communication.

Nice to Have:

• Experience in subscription or consumer revenue businesses, or partnership-heavy models
• Background in gaming, social platforms, or digital media
• Familiarity with revenue recognition principles and working with Accounting teams on deal operationalization
• Experience with BI tools such as Tableau, Looker, or similar, and building self-serve reporting for business teams

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You'll be close to the day-to-day of the business , running the operational cadence, building the analysis, and keeping our systems and processes running smoothly as we scale in India.

You'll work closely with S&O counterparts across Japan, South Korea, Singapore, Australia, and the wider APJ region, learning from and contributing to how we operate across the region.

Responsibilities:

Go-to-Market Operations:

• Support the Go-to-Market planning process for India, including quarterly and annual cycles, and help prepare inputs for target setting with Finance.
• Assist in territory and account segmentation, keeping assignments accurate and up to date as the business evolves.
• Build and maintain reporting on region-specific sales metrics, pipeline health, and forecast accuracy.
• Pull together market and competitive data to support regional expansion priorities.
• Support partner and alliance execution, including co-sell tracking, partner pipeline hygiene, and joint planning logistics.

Analysis & Insights:

• Dig into sales data to surface trends, risks, and opportunities, and translate findings into clear recommendations for sales leadership.
• Build dashboards and recurring reports that give the team visibility into what's working and what isn't.
• Prepare materials for business reviews, QBRs, and leadership updates , pulling the data, building the slides, and helping shape the narrative.

Operations & Systems:

• Execute day-to-day operational processes including account transitions, CRM updates, opportunity hygiene, and data management.
• Help maintain and improve our Salesforce setup, reports, and dashboards for the India team.
• Troubleshoot issues for sales reps and leaders, and partner with global RevOps to implement improvements.
• Support adoption of sales tools and enablement resources across the India team.

Required qualifications:

• 10 to 12 years of experience in revenue operations, sales strategy, business operations, or a related analytical role in B2B SaaS or enterprise software
• Strong analytical and Excel/Google Sheets skills, with the ability to turn raw data into clear insights
• Hands-on experience with Salesforce (reports, dashboards, data management) and comfort working in BI tools (e.g., Tableau, Looker)
• Strong attention to detail and a bias toward action , you like getting into the weeds and shipping work
• Good cross-functional communication skills, with the ability to partner with sales reps, managers, and adjacent teams
• Based in India with working proficiency in English

Strong candidates may also have:

• Exposure to territory design, quota setting, or sales compensation work
• Experience supporting GTM planning cycles or building executive-level reporting
• Familiarity with the broader APJ region and curiosity about how different markets operate
• Experience in a high-growth B2B software environment
• Background in consulting, finance, or business operations

Logistics

• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

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Reporting to the Vice President, Enterprise Data, you'll partner closely with senior leaders to improve how teams make decisions, measure performance, and drive outcomes, with a focus on shared views of usage and consumption models and major product launches.

You'll oversee two critical functions: Marketing Analytics (including demand generation, lifecycle marketing, brand, web, developer relations, localization, monetization, and campaign and event effectiveness) and Product Data Insights (including DevOps, Security, Platforms, AI products, new usage and consumption models, product adoption, feature usage, and customer behaviour analysis).

Key responsibilities include:

Defining and executing a unified analytics strategy across Marketing and Product, including shared metrics, measurement frameworks, and dashboards that serve as a single source of truth and connect marketing investment to product adoption, usage, and customer outcomes.

Building clear operating rhythms and ways of working that close historical gaps and help Marketing and Product make consistent, data-informed decisions.

Partnering with Marketing and Product leadership, including the Chief Product & Marketing Officer and other senior stakeholders, to provide actionable insights and executive-ready recommendations that shape go-to-market plans, product launches, roadmap prioritisation, and user experience improvements.

Solving complex analytics problems across both functions, including attribution modelling, lead scoring optimisation, campaign and event effectiveness, product adoption and feature usage analysis, and analytics for AI-powered features (including instrumentation, usage, and cost drivers).

Building and maintaining forecasting and scenario modelling frameworks in partnership with Finance, Product, and go-to-market leaders, tying pipeline, recurring revenue, and usage or consumption models to planning and investment decisions.

Establishing and scaling an experimentation programme across Marketing and Product, setting standards for hypothesis design, test methodology, instrumentation requirements, and clear readouts that translate results into decisions.

Building strong partnerships with data engineering, engineering, and legal, privacy, and security teams to translate business questions into technical requirements, prioritise telemetry and data model work, and improve reliability, quality, accessibility, and compliance in the analytics stack.

Hiring, mentoring, and developing leaders and team members, raising the bar for strategic thinking, stakeholder partnership, and end-to-end ownership across the analytics organisation.

Requirements include:

Strategic analytics leadership across both marketing analytics and product analytics, ideally in B2B SaaS or other high-growth technology environments.

Experience building, leading, and developing multi-layer analytics teams (including hiring, managing managers, and coaching leaders).

Ability to define and operationalise end-to-end measurement frameworks across Marketing and Product, including shared KPIs and clear metric definitions.

Strong analytical and technical skills, including SQL; statistical analysis and experimentation (A/B and multivariate testing); forecasting and scenario modelling; and advanced analytics techniques.

Experience with data visualisation and BI tools (Tableau or similar), with a track record of building executive-ready reporting and narratives for senior leaders.

Proven partnership with Engineering and Data Engineering to translate business needs into telemetry, data models, and analytics requirements, and to improve reliability and delivery across the analytics stack.

Experience collaborating with Legal, Privacy, and Security partners to design compliant telemetry and data-collection approaches that respect regulations and customer expectations.

Ability to influence senior leaders through clear communication and actionable recommendations, and to work effectively in a fully remote, asynchronous environment while adopting GitLab's values and ways of working.

The base salary range for this role's listed level is currently $184,400-$314,400 USD for residents of the United States only.

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Your responsibilities will include:

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

You should have:

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

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

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About Flexport: The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. We are proud to have the support of the best investors in the game who believe in our mission, solutions and people.

The Opportunity: Flexport is building the future of global fulfillment,and we’re looking for a Sr. Manager, Strategic Initiatives who wants to be at the center of that transformation. This is not a traditional management role. You will be the architect of tomorrow’s Flexport Fulfillment network: designing processes, building products, and creating the standards that will define how we operate at scale.

You’ll sit at the intersection of operations, product, and technology, working across all functions to identify gaps, design solutions, and bring them to life. We want someone who thrives in ambiguity, loves solving highly technical problems, and isn’t afraid to get hands-on,whether it’s building a new workflow in SQL, prototyping a tool, or architecting the next phase of our operating model.

If you want to make a lasting impact by building something from the ground up,and have the technical, operational, and strategic chops to do it,this is the role for you.

Responsibilities: Architect the Future of Fulfillment

• Design, standardize, and codify the processes, products, and tools that will power Flexport’s next generation fulfillment network.
• Define operating models that can scale globally, balancing efficiency, cost, speed, and customer experience.

Build, Not Just Manage

• Own initiatives end-to-end: from diagnosing the problem, designing the solution, building prototypes, and driving implementation.
• Develop tooling, dashboards, and models directly,leveraging SQL, Python, BI platforms, and workflow automation.

Leverage Data for Strategic Planning

• Use data to uncover bottlenecks, quantify opportunities, and make recommendations that drive millions in cost savings and unlock new service capabilities.
• Build forecasting and scenario planning models to guide long-term network design and capacity planning.

Be a Cross-Functional Force Multiplier

• Partner with engineering, product, operations, finance, and commercial teams to align on priorities, build solutions, and scale them across the network.
• Translate operational pain points into product requirements and ensure adoption of new tools and processes.

Standardize the Network

• Establish and roll out SOPs, reporting cadences, and KPIs that become the backbone of Fulfillment execution.
• Drive governance and accountability around execution, ensuring every site runs on the same playbook.

Drive Strategic Initiatives at Scale

• Lead high-impact, white-space projects (automation, robotics, B2B/Retail compliance, international expansion) that redefine the limits of what Flexport Fulfillment can deliver.
• Develop and execute multi-year roadmaps in partnership with senior leadership.

Requirements:

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

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

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You'll apply a current-state lens to People processes as they exist today while helping to transform our future.

Impact You'll Have:

• Drive Execution: Own end-to-end outcomes for major initiatives related to people data - from strategy shaping to requirements gathering to product development to initial launch to over-time optimization.
• Technical Excellence: Develop and enhance our data foundation by building AI-first dashboards, conversational agents, and automated solutions that are scalable and maintainable.
• SME Partnership: Act as a thought partner to decision-makers, translating workforce intelligence into actionable insights that impact the performance of individual employees and the company overall.
• Advanced Analytics: Design and execute complex analyses to predict trends, account for business context, and prescribe actions related to hiring, retention, or employee engagement.
• Automation: Convert recurring analysis requests into self-service tools, enabling leaders to make data-driven decisions independently.
• Enablement & Capability-Building: Support users to effectively interpret, interact with, and act on workforce insights. Produce toolkits, training, and resources that drive people data fluency and impact.
• Product Expertise & Innovation: Gain expertise in, and represent, our company products and services - staying current with features and releases from Databricks while attending to emerging best practices in people analytics and HR.

Who You Are:

• Education: You've earned a Master's or PhD in a field related to workforce research and analytics (e.g., I/O Psychology, Sociology, Organizational Behavior).
• Experience: You have 10+ years of professional experience leading large-scale research and analytics projects with/for People/HR functions.
• Technical Skills: You have advanced skills in BI tools (e.g., Databricks AI/BI, Tableau, PowerBI), analytics and modeling, and a strong grasp of SQL.
• Business Acumen: You can identify data gaps in operational processes and systems designs, and can propose solutions to close them.
• Clear Communicator: You are an excellent communicator, with an ability to synthesize complex information into clear, insightful takeaways and action-oriented recommendations.
• Culture Champion: You are ready to collaborate closely with colleagues and network across functional areas to foster Databricks' cultural values.

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 $191,100-$262,800 USD

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

Key responsibilities include:

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

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

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

What You Bring:

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

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

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You will define and operationalize the metrics that inform how we identify opportunities, measure success, and make decisions. This includes designing, building, and maintaining curated analytical datasets and data models that serve as the canonical sources for metrics, dashboards, and analyses.

You will partner closely with data science, product managers, and engineering teams to translate business questions into well-modeled, performant, and discoverable data assets. You will execute metric workflows, from metric definition and logging schema design to data modeling and visualization, with guidance from manager and senior team members.

You will also build and maintain executive-level dashboards and self-serve reporting tools that enable business stakeholders to answer their own questions.

Responsibilities:

• Design, build, and maintain curated analytical datasets and data models that serve as the canonical sources for metrics, dashboards, and analyses.

• Partner closely with data science, product managers, and engineering teams to translate business questions into well-modeled, performant, and discoverable data assets.

• Execute metric workflows, from metric definition and logging schema design to data modeling and visualization, with guidance from manager and senior team members.

• Build and maintain executive-level dashboards and self-serve reporting tools that enable business stakeholders to answer their own questions.

Requirements:

• 2+ years of experience in analytics or data engineering with a strong focus on building curated, consumer-facing datasets.

• 2+ years of experience in designing, developing, and maintaining robust data models from structured and unstructured sources to power a variety of use cases, including experimentation.

• 2+ years of experience writing accurate and effective SQL.

• Fluency in Python or another programming language.

• Experience building and owning executive-level dashboards and reports using BI tools (e.g., Looker, Tableau, or similar).

• Strong business acumen, you will partner with data scientists and product managers to translate ambiguous questions into concrete metric definitions and data models.

• Excellent communication, comfortable being the connective tissue between technical and business teams.

Bonus Points:

• Passion for Discord or online communities.

• Experience building or contributing to a semantic layer or metrics store.

• Experience with modern analytics and data engineering tools (dbt, BigQuery etc).

• Experience implementing and monitoring audits for data quality with massive data sets (e.g. billions of rows).

• Experience working on SEO, GEO, or other top of funnel growth focused features.

• Experience collaborating with compliance, legal, or litigation cross-functional teams.

The US base salary range for this full-time position is $160,000 to $180,000 + equity + benefits.

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Carta connects founders, investors, and limited partners through world-class software, purpose-built for everyone in venture capital, private equity and private credit.

Trusted by 65,000+ companies in 160+ countries, Carta’s platform of software and services lays the groundwork so you can build, invest, and scale with confidence.

The Team You’ll Work With

The GTM Strategy & Operations team partners with Sales & Marketing leaders to drive Carta’s revenue strategy and best-in-class execution.

This role is a critical hire for the AMEA (APAC, Middle East, and Africa) team, supporting a region to scale across private markets ecosystem.

The Problems You’ll Solve

As a GTM Strategy & Ops Associate, you will own the operational roadmap for the AMEA region, using process, systems, and data as levers to accelerate productivity.

• Strategic Territory & Execution: Own AMEA territory planning, account segmentation, and Book of Business assignments to ensure equitable coverage and maximum sales velocity.

• Data & Analytics Foundation: Own business requirements for regional reporting. Create and maintain BI dashboards that proactively identify risks and opportunities in the AMEA pipeline and customer retention.

• Process Architect: Design and implement 'Lead-to-Cash' workflows for new asset classes and complex GTM motions (e.g., ERP integrations).

• Global Bridge: Collaborate with US RevOps, Systems and Data teams to ensure the AMEA roadmap is codified within global data architecture.

• Tech Stack Management: Manage and optimize regional tools (SFDC, LeanData, Outreach, Chorus, Marketo etc.) to drive automation and ensure data hygiene.

• Strategic Advisory: Serve as a trusted advisor to AMEA GTM leadership, providing data-driven insights for QBRs, board materials, and executive analyses.

About You

The ideal candidate is a proactive, mid-level operator who thrives in high-growth, ambiguous environments and is comfortable balancing high-level strategy with 'hands-on' systems execution.

• Experience: 5+ years of experience in GTM Operations, Sales Strategy, or Revenue Operations, preferably within an Enterprise SaaS environment.

• Analytical Power: Highly proficient in SQL and BI tools (Metabase).

• Systems Expert: Advanced proficiency in Salesforce (SFDC).

• Owner Mentality: You take pride in building from the ground up.

• Global Perspective: Experience or interest in international markets; ability to navigate and communicate effectively across time zones and diverse regional requirements.

• Structured Thinker: Exceptional ability to frame business questions with data and implement actionable process improvements.

Disclosures:

We are an equal opportunity employer and are committed to providing a positive interview experience for every candidate.

If accommodations due to a disability or medical condition are needed, please connect with the talent partner via email.

Carta uses E-Verify in the United States for employment authorization.

See the E-Verify and Department of Justice websites for more details.

For information on our data privacy policies, see Privacy, CA Candidate Privacy, and Brazil Transparency Report.

Please note that all official communications from us will come from an @carta.com or @carta-external.com domain.

Report any contact from unapproved domains to security@carta.com.

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This foundational leadership role will build and lead the Enterprise Marketing Strategy & Analytics function, serving as the operating system for a rapidly scaling marketing organisation. The primary mandate is to define and measure success across all marketing programmes,from demand generation (field events, ABM, EBCs, partner co-marketing) to pipeline contribution,creating a clear line from investment to pipeline to revenue.

Responsibilities

• Define and own the Enterprise Marketing measurement framework, targets, and reporting, covering the full funnel from top-of-funnel demand through pipeline influence and closed-won attribution.
• Build and maintain core analytics infrastructure (data models, attribution logic, dashboards) in partnership with Revenue Operations and Data Science, ensuring marketing and sales alignment on key metrics.
• Serve as one of the primary operating partner to Finance, HR, and Recruiting, leading budget tracking, headcount planning, and vendor management.
• Partner with marketing leadership and the central Marketing Ops & Strategy team on annual and quarterly planning, resource allocation, and performance reviews.
• Establish the operating cadence for Enterprise Marketing (QBRs, pipeline reviews, program retros), coordinating with the central Marketing Ops & Strategy team on organisation-wide rhythms, and drive the preparation needed to make these forums decision-useful.
• Lead the identification of high-leverage workflows to automate, partnering with the central GTM AI team on implementation and measuring productivity gains.
• Build and manage the Marketing Operations, Demand Analytics, and MarTech team, setting a high bar for analytical rigor and business partnership.
• Drive cross-functional alignment on shared definitions, tooling, and a single source of truth for marketing performance across the broader Marketing organisation and with Revenue Operations.
• Conduct strategic analyses to inform key organisational decisions, such as resource deployment, coverage ratios, and campaign capacity planning.

Requirements

• 10+ years in marketing operations, analytics, revenue operations, or strategy roles, including at least 3 years leading a team.
• Experience building or significantly scaling a marketing ops/analytics function at a high-growth B2B technology company undergoing significant organisational expansion.
• Deep fluency in the enterprise demand funnel, including lead scoring, MQL/SQL definitions, pipeline attribution, and campaign influence models.
• Hands-on expertise with the modern GTM data stack (CRM, Marketing Automation, BI tools).
• Proven track record of strategic partnership with Finance and Revenue Operations, including experience building budget models and sitting in planning cycles.
• Expertise in running the core operational rhythm of a marketing organisation: QBRs, headcount tracking, budget pacing, and vendor renewals.
• Strong written and verbal communication, capable of translating complex datasets into clear business narratives.
• Genuine curiosity about AI and a willingness to be an early, hands-on adopter of automation tools in your team’s workflows.

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. Visa sponsorship: We do sponsor visas!

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Key Responsibilities:

• Oversee deferred revenue accounting activities, including journal entries, reconciliations, and month-end close processes.
• Partner with stakeholder teams to ensure data relied upon for revenue accounting is accurate/complete.
• Execute compliance with internal controls to mitigate financial risks.
• Support external audits by providing accurate and timely information.
• Drive process improvements and automations within Revenue Operations to enhance efficiency and scalability.
• Leverage AI-driven analytics and automation tools to streamline reconciliations, and improve the accuracy and scalability of deferred revenue accounting processes.
• Perform special projects, as needed to support our rapid growth.

Requirements:

• Big 4 accounting firm (or similar) experience.
• 3+ years of Revenue accounting experience, in a technology or high-growth company operating in a SOX environment.
• Strong understanding of GAAP and the proven ability to research technical accounting topics.
• Strong understanding of ASC 606.
• Experience with Oracle R12, Salesforce.com or similar systems.
• A master of details who can also understand the big picture.
• Strong Excel skills, big plus if savvy with Tableau or other BI tools.
• Excellent written and verbal communication skills, with the ability to distill complex technical issues into clear, actionable guidance.
• Proven ability to work cross-functionally and balance technical rigor with operational practicality.
• Bachelor’s degree in a relevant field, or equivalent experience.

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You will partner closely with Development and Site Selection teams to track delivery milestones, forecast phased capacity availability, and communicate changes in timelines across the organization. Your work will directly inform capital planning, compute deployment decisions, and executive-level reporting.

In this role, you will:

• Own portfolio-level capacity planning and forecasting for all active and pipeline data center sites

• Maintain the master capacity timeline, including go-live dates, phased capacity delivery, and readiness milestones

• Track and communicate changes to delivery schedules, capacity timing, and risk across the portfolio

• Partner with Development and Site Selection teams to align site-level progress with portfolio forecasts

• Serve as the authoritative source for capacity availability updates used by Compute Capacity, Finance, Accounting, and Legal teams

• Build and maintain capacity models, dashboards, and reporting packages for leadership and executive stakeholders

• Standardize and catalog site attributes including location, provider, power and cooling characteristics, and delivery phases

• Support Finance and Accounting teams with CapEx planning, budget alignment, and variance analysis

• Translate complex infrastructure data into clear, actionable insights for senior leadership

Who You Are:

• 5+ years experience working in data center, hyperscale infrastructure, colocation, or large-scale cloud environments

• Strong background in capacity planning, forecasting, portfolio planning, or infrastructure operations

• Advanced proficiency in Excel and/or Google Sheets, including complex models and scenario analysis

• Experience building executive-ready reporting and dashboards using tools such as Tableau (or similar BI tools)

• Ability to manage ambiguity and evolving timelines in a fast-growth environment

• Proven ability to work cross-functionally with technical and non-technical stakeholders

• Comfortable presenting data-driven insights to senior and executive audiences

Preferred:

• Experience supporting data center development lifecycles (site selection, design, build, and go-live)

• Familiarity with data center capacity concepts (MW, power density, cooling types, phased delivery)

• Experience with additional analytics or planning tools (e.g., Power BI, Looker, Smartsheet, SQL)

• Background in capital planning or infrastructure investment analysis

Why CoreWeave?

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

• Be Curious at Your Core

• Act Like an Owner

• Empower Employees

• Deliver Best-in-Class Client Experiences

• Achieve More Together

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

The base salary range for this role is $115,000 to $153,000. The starting salary will be determined by job-related knowledge, skills, experience, and the market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

What We Offer

The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location.

In addition to a competitive salary, we offer a variety of benefits to support your needs, including:

• Medical, dental, and vision insurance - 100% paid for by CoreWeave

• Company-paid Life Insurance

• Voluntary supplemental life insurance

• Short and long-term disability insurance

• Flexible Spending Account

• Health Savings Account

• Tuition Reimbursement

• Ability to Participate in Employee Stock Purchase Program (ESPP)

• Mental Wellness Benefits through Spring Health

• Family-Forming support provided by Carrot

• Paid Parental Leave

• Flexible, full-service childcare support with Kinside

• 401(k) with a generous employer match

• Flexible PTO

• Catered lunch each day in our office and data center locations

• A casual work environment

• A work culture focused on innovative disruption

Our Workplace

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

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

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

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

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

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

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

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

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

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

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Location: Bellevue, Washington

Department: Education & Training

CSQ227R234

About the Role

This role is required to work in a hybrid office setting in our Bellevue, WA office.

The Opportunity

Databricks runs some of the largest customer enablement programs in the industry , workshops, digital courses, labs, and webinars that reach thousands of users. The Customer Enablement Specialist turns that reach into results. You connect engaged learners to structured training plans that drive product adoption, customer success, and measurable business impact.

This isn’t a sales or business development role , every conversation begins with an existing Databricks user or program participant. Your focus is on helping those customers move from initial interest to tangible capability: skilled teams, completed training milestones, and activated use cases.

You’ll manage a broad portfolio of accounts, supporting new and emerging personas , business users, analysts, and app developers , and helping them succeed with Databricks’ latest innovations in AI/BI, Databricks Apps, and agent-based development.

What You'll Do

• Convert participation in Databricks’ scale programs (webinars, workshops, digital learning) into structured training engagements.

• Own a high-volume enablement pipeline , identifying learner needs, recommending tailored paths, and tracking adoption progress.

• Deliver engaging L100–L200 sessions and demos to help new personas understand what’s possible with Databricks.

• Build enablement plans for each account, tracking trained users, completion rates, and milestone achievement.

• Partner with Customer Success Managers (CSMs), Account Executives (AEs), and senior CEAs to align training with customer goals and renewal cycles.

• Report key metrics , trained accounts, learner growth, conversion rates, and training revenue , using data to guide your priorities.

• Provide structured feedback to program and curriculum teams to sharpen future customer learning experiences.

What You Bring

• 2–4 years in a technical, customer-facing role , technical training, pre-sales, enablement, or customer success preferred.

• Hands-on familiarity with modern data and analytics platforms (Databricks, cloud SQL, BI tools, or data lakes).

• Confidence delivering introductory technical content to non-expert audiences.

• Working knowledge of AI/ML concepts , able to explain how Databricks enables practical use cases.

• Strong communication skills and a consultative approach: discover needs, recommend paths, and gain commitment.

• A data-driven mindset with strong organisational habits and comfort managing many concurrent accounts.

• Team-first attitude , proactive collaborator who knows when to escalate for deeper technical support.

Bonus Points

• Databricks certifications or willingness to certify (Data Engineer Associate, Databricks certifications (or willingness to obtain within 6 months).

• Background in SaaS, cloud, or data platforms; familiarity with BI or AI/BI tools (Databricks Genie, Tableau, Power BI).

• Exposure to Databricks Apps, REST APIs, or AI agent concepts.

• Experience in a role with enablement or training-related revenue metrics.

Why This Role, Why Now

New products create new skill gaps. As Databricks expands into AI/BI, Databricks Apps, and agent-based development, a new wave of users , business analysts, app builders, domain experts , needs to get skilled up quickly. The depth CEA team focuses on the complex, strategic, and deeply technical. This role focuses on the broad middle: high volume, new personas, and the scale-to-commitment motion that turns digital participation into real adoption. It is a high-visibility, high-impact position with a clear growth path into senior CEA work as you build depth and track record.

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 2 Pay Range $86,600-$119,150 USD

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

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

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

Data at Brex

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

What You’ll Do

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

Where you’ll work

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

Responsibilities:

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

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

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

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

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

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

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

Requirements:

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

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

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

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

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

• Experience working with a data warehouse such as Snowflake.

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

• Experience with a programming language such as Python.

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

• Exceptional quantitative and analytical skills.

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

Compensation:

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

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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.

Data at Brex

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

What You’ll Do

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

Where you’ll work

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

Responsibilities:

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

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

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

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

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

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

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

Requirements:

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

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

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

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

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

• Experience working with a data warehouse such as Snowflake.

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

• Experience with a programming language such as Python.

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

• Exceptional quantitative and analytical skills.

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

Compensation:

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

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You'll be close to the day-to-day of the business , running the operational cadence, building the analysis, and keeping our systems and processes running smoothly as we scale in India.

You'll work closely with S&O counterparts across Japan, South Korea, Singapore, Australia, and the wider APJ region, learning from and contributing to how we operate across the region.

Responsibilities:

Go-to-Market Operations:

• Support the Go-to-Market planning process for India, including quarterly and annual cycles, and help prepare inputs for target setting with Finance.
• Assist in territory and account segmentation, keeping assignments accurate and up to date as the business evolves.
• Build and maintain reporting on region-specific sales metrics, pipeline health, and forecast accuracy.
• Pull together market and competitive data to support regional expansion priorities.
• Support partner and alliance execution, including co-sell tracking, partner pipeline hygiene, and joint planning logistics.

Analysis & Insights:

• Dig into sales data to surface trends, risks, and opportunities, and translate findings into clear recommendations for sales leadership.
• Build dashboards and recurring reports that give the team visibility into what's working and what isn't.
• Prepare materials for business reviews, QBRs, and leadership updates , pulling the data, building the slides, and helping shape the narrative.

Operations & Systems:

• Execute day-to-day operational processes including account transitions, CRM updates, opportunity hygiene, and data management.
• Help maintain and improve our Salesforce setup, reports, and dashboards for the India team.
• Troubleshoot issues for sales reps and leaders, and partner with global RevOps to implement improvements.
• Support adoption of sales tools and enablement resources across the India team.

Required qualifications:

• 10 to 12 years of experience in revenue operations, sales strategy, business operations, or a related analytical role in B2B SaaS or enterprise software
• Strong analytical and Excel/Google Sheets skills, with the ability to turn raw data into clear insights
• Hands-on experience with Salesforce (reports, dashboards, data management) and comfort working in BI tools (e.g., Tableau, Looker)
• Strong attention to detail and a bias toward action , you like getting into the weeds and shipping work
• Good cross-functional communication skills, with the ability to partner with sales reps, managers, and adjacent teams
• Based in India with working proficiency in English

Strong candidates may also have:

• Exposure to territory design, quota setting, or sales compensation work
• Experience supporting GTM planning cycles or building executive-level reporting
• Familiarity with the broader APJ region and curiosity about how different markets operate
• Experience in a high-growth B2B software environment
• Background in consulting, finance, or business operations

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Your main objective will be to convert participation in Databricks' scale programs (webinars, workshops, digital learning) into structured training engagements. You will own a high-volume enablement pipeline, identifying learner needs, recommending tailored paths, and tracking adoption progress.

To achieve this, you will deliver engaging L100–L200 sessions and demos to help new personas understand what's possible with Databricks. You will build enablement plans for each account, tracking trained users, completion rates, and milestone achievement.

You will partner with Customer Success Managers (CSMs), Account Executives (AEs), and senior CEAs to align training with customer goals and renewal cycles. You will report key metrics – trained accounts, learner growth, conversion rates, and training revenue – using data to guide your priorities.

In addition, you will provide structured feedback to program and curriculum teams to sharpen future customer learning experiences.

We are looking for a highly motivated and organized individual with excellent communication skills and a consultative approach. You should have hands-on familiarity with modern data and analytics platforms, confidence delivering introductory technical content to non-expert audiences, and a working knowledge of AI/ML concepts.

If you are passionate about helping customers succeed and have a strong desire to learn and grow with our company, we encourage you to apply for this exciting opportunity.

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The role combines deep analytics (program ROI, attribution, demand and lead analytics) with operational leadership, managing core business functions. You will serve as the primary contact into Finance, HR, and Recruiting for Enterprise Marketing, owning headcount and budget tracking and driving the team's operating cadence in close partnership with the central Marketing Ops & Strategy team on annual planning, organization-wide rhythms, and headcount planning.

You will also lead the effort to deploy AI/automation across Enterprise Marketing workflows to prove out internally what we sell externally. You will inherit and grow a team of marketing ops, analytics, and martech professionals.

The ideal candidate has scaled this function previously at a fast-growing B2B company, excels in both technical analytics and business operations, and is adept at building trust across sales leaders, finance partners, and field marketers.

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The FinOps function is responsible for financial accountability, visibility, and optimization across all engineering-related spend at Plaid. This includes cloud infrastructure, AI/ML and data workloads, third-party SaaS tools, and other technical investments that support Plaid's products and internal platforms.

Responsibilities

• Monitors and analyzes engineering spend across cloud, AI/ML, data platforms, and SaaS, identifying trends, anomalies, and optimization opportunities.
• Builds and maintains forecasts for engineering spend, partnering with Finance and engineering leaders to understand drivers, assumptions, and risks.
• Partners with engineering, product, and TPMs to incorporate cost considerations into roadmaps, architectural decisions, and execution plans.
• Leads cost optimization initiatives, such as rightsizing, commitment strategies, and workload efficiency improvements, in collaboration with engineering owners.
• Creates and maintains dashboards and reporting that make spend understandable and actionable for both engineers and executives.
• Implements FinOps practices and processes, including showback/chargeback models, unit economics, and cost ownership frameworks.
• Partners on tooling and automation, working with data and engineering teams to improve cost visibility, forecasting accuracy, and operational efficiency.
• Drives alignment and behavior change, helping teams balance cost, performance, reliability, and velocity through data-driven decision making.

Requirements

• 6–10+ years of relevant experience working at the intersection of engineering, infrastructure, data, or finance in a cloud-native or SaaS environment.
• Proven experience partnering closely with engineering teams to influence decisions involving cloud infrastructure, data platforms, AI/ML workloads, or SaaS spend.
• Working understanding of modern cloud-native architectures, including core components such as compute, storage, networking, data pipelines, and managed services,enough to engage credibly with engineers on design, tradeoffs, and cost drivers.
• Strong foundation in cost analysis, forecasting, budgeting, and variance management, with the ability to translate data into clear, actionable insights.
• Comfort working directly with data, including writing SQL (or effectively using AI-assisted tools to do so) to explore datasets, validate assumptions, and answer ad hoc questions.
• Experience building clear, high-quality dashboards and BI artifacts that are not only accurate, but intuitive and delightful for engineers and leaders to use.
• Demonstrated success driving adoption and behavior change,embedding cost awareness into day-to-day engineering workflows, not just producing reports.
• Experience owning and delivering cross-functional programs end-to-end, often without direct authority or a dedicated team.
• Familiarity with FinOps principles and practices (e.g., shared ownership, showback/chargeback, unit economics, optimization strategies).
• Strong communication skills, with the ability to tailor complex technical and financial concepts for engineering, finance, and executive audiences.

Nice to Haves

• Hands-on familiarity with cloud cost management tools (e.g., AWS Cost Explorer, GCP Billing, Azure Cost Management, CloudHealth, Cloudability, or similar).
• Experience working with or supporting data platforms and AI/ML workloads, including understanding cost drivers for batch processing, streaming, storage, and model training/inference.
• Exposure to showback/chargeback models, cost allocation strategies, or product-level unit economics.
• Experience improving data models or pipelines that support analytics, reporting, or financial attribution.
• Familiarity with BI tools such as Mode, Tableau, Looker, or similar,and a strong eye for dashboard usability and design.
• Background in a technical role (e.g., engineering, TPM, infra, data, or engineering operations) before moving into a more cross-functional or business-oriented position.
• Experience operating in a high-growth or rapidly scaling environment, where cost structures and investment priorities are evolving quickly.

Additional Information

Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description.

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You will operate across various departments, including Member Services, Care Teams, Clinical, Product, Engineering, Compliance, Legal, InfoSec, and Commercial, as well as with external vendors, to design and execute end-to-end sourcing and supplier strategies for GLP-1 and other critical categories.

This role requires strong executive-ready communication, the ability to influence director/VP stakeholders without formal authority, and ownership for setting clear success measures, tracking performance, and adjusting plans to achieve multi-year outcomes.

Key responsibilities include:

• Owning and continuously refining program governance for both operational and strategic initiatives
• Establishing and sequencing business priorities across categories and programs
• Driving programs end to end and independently recommending and implementing changes to policies and procedures that affect multiple departments or disciplines
• Proactively exercising advanced judgment in evaluating, selecting, and adapting methods to achieve results that support company-wide strategic initiatives
• Deeply understanding the interrelationships between supply chain, clinical, product, operations, and commercial priorities

Additionally, you will be responsible for communicating clear, concise expectations and requirements in both verbal and written form, presenting well-reasoned, data-driven proposals and recommendations, and influencing others to drive ongoing program improvements.

Requirements include:

• Bachelor's degree in a related field
• 10+ years of experience in a strategic procurement role for production goods and services
• 3+ years of experience in pharmacy or medical device procurement or related experience
• Strong executive-ready communication and influencing skills
• Ability to think strategically and drive business outcomes

Preferred qualifications include:

• MBA or Master's degree in a related field
• Certified Professional in Supply Management (CPSM)
• Certified Supply Chain Professional (CSCP)
• Lean/Six Sigma certified or an equivalent certification

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This is a zero-to-one role with senior reporting, real scope, and direct ownership of both spend and revenue. To scale this high-impact channel, you'll architect and own the systems that power it: the partner marketing platform (Everflow tool), payout economics, attribution and reporting, fraud detection, technical integrations, and spend optimization at scale.

You'll own end-to-end deal management, including sourcing, negotiating, launching, and managing performance for partnerships across tier-1 enterprise, regional operators, publishers, marketers, and creators. You'll also manage the partner platform (Everflow) end-to-end, including offer management, payout economics, attribution, and providing senior leadership with clear reporting.

You'll track full-funnel metrics (traffic, leads, move-ins, LTV), scale winning partners, shut down low-quality sources, and exceed revenue goals while maintaining ROAS targets. You'll serve as the translator between partners and Neighbor's internal teams to coordinate API integrations, develop co-marketing programs, and build internal tools to scale operations.

The ideal candidate is sharp, analytical, highly organized, and motivated by measurable impact. They should have a bachelor's degree in Business, Economics, Finance, Accounting, Engineering, or a related quantitative field, and 3+ years of experience in sales, BD, consulting, investment banking, account management, or equivalent, with a track record of personally driving material outcomes.

They should be highly organized, able to navigate multiple systems and manage up to 40 partner conversations at various stages without dropping the ball. They should also be strong analytically, comfortable working in spreadsheets, measuring performance, and analyzing partner economics and payout structures.

Resilient and results-oriented, they should have a proven track record of delivering through challenges,professional, personal, athletic, academic, or otherwise. Excellent communication skills are essential, with the ability to quickly draft partner pitches and one-pagers, effectively negotiate contracts, and confidently sell Neighbor.

Technical fluency is required, sufficient to manage software tools, build lightweight AI automations, communicate with engineers, and independently build analytics dashboards. Experience with CRM, automation, or BI tools (HubSpot, Salesforce, Everflow, Zapier, Airtable, Looker, SQL) is a plus.

Nice-to-haves include marketplace, logistics, real estate, moving/storage, or proptech vertical experience, influencer, creator, or affiliate partnership work, and an MBA or advanced degree.

Benefits include generous stock options, medical, dental, and vision insurance, generous PTO, 11 paid company holidays, hybrid work model, 401(k) plan, infant care leave, and on-site gym/showers open 24/7.

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In this role, you will be responsible for managing inbound licensing opportunities, maintaining patent and license databases, and leveraging Mistral AI tools to optimize patent operations and licensing and data partnership processes.

You will work closely with the legal, product, and engineering teams to ensure efficient tracking, reporting, and support high-impact data partnership and licensing opportunities.

This role is ideal for someone who is passionate about legal tech, thrives in operational excellence, and wants to use AI to transform how IP and licensing operations are managed.

Key Responsibilities Licensing & Data Partnerships • Opportunity Tracking: Maintain and update databases of licensing and data partnership opportunities, tracking status, terms, and key stakeholders. • Data Analysis: Enrich licensing databases with metadata, deduplicate assets, evaluate content, identify sources, and ensure accuracy using AI, SQL, Python, or/and BI tools. • Partner Onboarding: Verify legitimacy of new data and licensing partners through business checks. Ensure completion of required agreements and compliance forms.

Patent Operations Management • Filing Status Tracking: Monitor patent filings, deadlines, and portfolio metrics using dashboards and automated tools. • Process Optimization: Automate patent operations and improve data accuracy using Mistral AI's tools and external platforms.

Cross-Functional Collaboration • Stakeholder Alignment: Coordinate with legal, product, and engineering teams to align IP and licensing processes, including documentation, deadlines, and communication. • Inventor Workflows: Assist inventors with workflows for invention intake, recognition, and documentation in Notion, Slack, and HR systems.

Required Qualifications and Skills • Experience: 3+ years in IP operations, licensing, or a related field, with a focus on data management, process improvement, and operational support. • Technical Proficiency: Strong skills in database management, data analysis, and dashboard creation (e.g., Slack, Notion, Workflows, Excel/G-sheets, SQL, or BI tools). • Attention to Detail: Ability to manage complex datasets, identify discrepancies, and ensure accuracy in reporting. • Communication: Excellent written and verbal communication skills in English, with the ability to collaborate across teams. • Tool Savvy: Experience with IP management software, docketing systems, or similar tools. Familiarity with AI/ML concepts is a plus. • Adaptability: Comfortable working in a fast-paced, evolving environment with a proactive and solution-oriented mindset. • International Mindset: Experience in a global or multicultural setting is a plus.

Nice-to-Have Skills • Familiarity with patent prosecution workflows and IP portfolio management. • Experience with AI-driven legal tech solutions. • Background in data science, competitive intelligence, or business analytics.

Benefits • Competitive cash salary and equity • Daily lunch vouchers • Monthly contribution to a Gympass subscription • Monthly contribution to a mobility pass • Full health insurance for you and your family • Generous parental leave policy • Visa sponsorship

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

Role Summary

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

Responsibilities

Worldwide Strategic Staffing & Capacity Planning - across all geographies

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

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

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

Data-Driven Staffing Optimization

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

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

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

Scalable Staffing Systems & Automation

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

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

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

Cross-Functional Collaboration

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

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

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

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

About you

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

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

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

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

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

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

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

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

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

Benefits

France

• Competitive cash salary and equity

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

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

• Transportation: Monthly contribution to a mobility pass via Betterway

• Health: Full health insurance for you and your family

• Parental: Generous parental leave policy

• Visa sponsorship

• Coaching: we offer BetterUp coaching on a voluntary basis

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We are seeking a Head of Revenue Operations to transform how Cyngn drives revenue by building a structured, data-driven growth engine across Sales, Marketing, and Customer Success.

Responsibilities

• Revenue System Design: Build and maintain top-of-funnel architecture, including lead scoring, segmentation, conversion benchmarks, and pipeline health dashboards, and hold sales individuals accountable for meeting these benchmarks
• Data-Driven Pipeline Management: Institute stage-by-stage analytics, win/loss modeling, and probability-weighted forecasting to improve forecast accuracy and deal velocity
• Operating Cadence: Establish and lead weekly/monthly growth reviews, funnel retrospectives, and KPI forums that drive accountability across Sales and Marketing
• Tools & Data Integrity: Define CRM data schema, drive CRM hygiene standards, and implement analytics tooling to extract actionable insights (CRM, attribution, forecasting, dashboards)
• Cross-Functional Collaboration: Partner with Sales Leadership, Marketing, Product, and Finance to align on ICP definition, lead generation strategy, and growth priorities
• Performance Measurement: Define success metrics and attribution models for lead sources, campaigns, sales activities, and revenue outcomes

Qualifications

• Experience: 8+ years in Revenue Operations, Sales Operations, or similar GTM analytics role in B2B SaaS or enterprise software environments
• Analytical Rigor: Strong background in data analytics, forecasting, funnel modeling, and KPIs (experience with CRM systems and BI tools required)
• Revenue Growth Mindset: Proven track record of building systems that accelerated pipeline velocity and improved forecast precision
• Process Builder: Skilled in translating business goals into repeatable processes and dashboards that scale with the business
• Collaborator: Fluency working cross-functionally with sales, marketing, finance, and product to unify GTM execution against strategic metrics
• Communication: Ability to present data clearly to executives, drive cross-team alignment, and influence without authority

Bonus Qualifications

• Experience in Robotics, IoT, SaaS, or other high-tech B2B environments
• Strong CRM and analytics stack fluency (e.g., Salesforce, HubSpot, Tableau/Looker, Outreach, Marketo)
• Track record of driving measurable growth improvements through operational excellence

Benefits & Perks

• Health benefits (Medical, Dental, Vision, HSA and FSA (Health & Dependent Daycare), Employee Assistance Program, 1:1 Health Concierge)
• Life, Short-term and long-term disability insurance (Cyngn funds 100% of premiums)
• Company 401(k)
• Commuter Benefits
• Flexible vacation policy
• Remote or hybrid work opportunities
• Sabbatical leave opportunity after 5 years with the company
• Paid Parental Leave
• Daily lunches for in-office employees and fully-stocked kitchen with snacks and beverages
• Monthly meal and tech allowances for remote employees

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Porto is Anchorage Digital’s institutional self-custody solution, and this role is critical in accelerating client acquisition and unlocking new revenue streams. This role is highly cross-functional and hands-on, working closely with Sales, Product, Marketing, and Finance teams to shape how Porto grows , from pricing and packaging to ecosystem partnerships and monetization programs.

Technical Skills:

• Support the development and iteration of Porto’s pricing models, packaging, and commercial strategy to ensure market competitiveness.
• Build and maintain dashboards and reports using Looker; pull, analyze, and interpret data to support monthly and quarterly business reviews and leadership decision-making.
• Conduct deep analysis of market dynamics, competitive positioning, and client feedback to directly inform the product roadmap and GTM decisions.
• Identify gaps in data visibility and propose/implement solutions to improve reporting and insight generation, demonstrating comfort in self-serving data for routine analysis.

Complexity and Impact of Work:

• Help shape Porto’s client acquisition and growth strategy across asset managers, protocols, funds, and DeFi-native institutions.
• Grow and operationalize Porto’s Featured dApp program, including partner sourcing, pricing, deal structures, and performance tracking.
• Build business cases for new products, features, and expansion initiatives that identify and develop new revenue streams tied to DeFi usage and asset productivity.
• Partner with Sales to support high-stakes deals, bespoke pricing, and the resolution of complex institutional client needs.

Organizational Knowledge:

• Maintain an entrepreneurial attitude and deep intellectual curiosity regarding institutional self-custody, wallets, and DeFi market structure.
• Leverage your network across DeFi protocols, infrastructure providers, and asset managers to drive pipeline and strategic partnerships.
• Act as a brand ambassador for Porto, sourcing and managing strategic relationships with dApps, protocols, and ecosystem partners.

Communication and Influence:

• Partner cross-functionally with Sales, Product, Marketing, and Finance to ensure the GTM strategy is aligned with revenue targets and KPIs.
• Develop internal enablement materials, including positioning, competitive intelligence, and pricing frameworks, to empower the sales team.
• Support co-marketing, referrals, and ecosystem-led growth initiatives through clear communication and collaboration with external partners.

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

• 5–10+ years of experience in strategy, growth, business development, or GTM roles within crypto, fintech, or financial services.
• Direct experience with self-custody, wallets, or institutional crypto infrastructure.
• A deep understanding of the DeFi ecosystem, including protocols, yield mechanics, market structure, and risk considerations.
• Proven experience building or influencing pricing models and monetization strategies.
• The ability to operate at both a strategic and executional level, with comfort pulling your own data and performing ad-hoc analysis.
• Strong executive presence and the ability to articulate Porto’s unique value proposition to institutional clients and ecosystem partners.

Although not a requirement, bonus points if:

• You have prior experience at an institutional crypto platform, exchange, prime broker, or custody provider.
• You have experience launching or scaling ecosystem programs (e.g. dApp marketplaces, partner programs, or referral models).
• You are familiar with DAO governance, on-chain analytics, or protocol economics.
• You have experience with BI tools (Looker, Mode, Tableau) or basic SQL/Python for analysis or automation.
• You were emotionally moved by the soundtrack to Hamilton, which chronicles the founding of a new financial system. :)

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This role goes beyond reporting,you will be responsible for building the foundation that powers our go-to-market strategy, from attribution modeling to executive decision-making. You will partner closely with marketing, sales, and revenue leadership to connect marketing efforts to business outcomes, enabling smarter investments and accelerating growth in the institutional crypto ecosystem.

Core Competencies

• Advanced SQL proficiency: Ability to extract, transform, and analyze large datasets across multiple systems to generate insights
• Salesforce expertise (2–3+ years): Hands-on experience as a Salesforce admin supporting marketing and GTM teams, including campaign tracking, attribution, and data architecture
• Marketing data architecture ownership: Experience integrating and scaling data across tools (e.g., CRM, marketing automation, analytics platforms)
• Analytical rigor + creative problem-solving: Strong critical thinker who can challenge assumptions, identify root causes, and design innovative solutions
• Cross-functional leadership: Proven ability to collaborate across marketing, sales, RevOps, and product teams to drive aligned outcomes

Technical Skills:

Technical & Analytical Ownership

• Own and evolve marketing data infrastructure, including Salesforce and integrated MarTech systems
• Write and optimize SQL queries to analyze campaign performance, pipeline generation, and revenue attribution
• Build and maintain scalable dashboards and reporting frameworks across:
• Performance marketing
• BDR outbound
• Field & event marketing
• Develop multi-touch attribution models and conversion tracking methodologies
• Analyze RoAS, LTV/CAC, and funnel efficiency to inform investment decisions

Complexity and Impact of Work:

Systems & Data Architecture

• Serve as Salesforce admin for marketing, ensuring clean data structures, campaign tracking, and attribution integrity
• Assess and optimize the marketing tech stack, identifying gaps and opportunities for automation and scale
• Partner closely with Data teams to ensure data consistency and governance across systems

Organizational Knowledge:

• Produce executive-ready dashboards, reports, and presentations that clearly communicate marketing performance and ROI
• Provide actionable insights to support budget allocation, channel strategy, and campaign prioritization
• Conduct deep-dive analyses into client journeys, segmentation, and growth drivers

Communication and Influence:

• Act as a key partner to Marketing, Sales, BDR, and Relationship Management teams
• Translate business needs into data requirements and technical solutions
• Influence stakeholders through clear communication, strong storytelling, and data-backed recommendations

What Sets You Apart:

• Deep understanding of the institutional crypto landscape and client lifecycle
• Experience evaluating and implementing MarTech tools and integrations
• Ability to move fluidly between technical execution and strategic thinking
• Strong storytelling skills,turning data into clear, compelling narratives for executives

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

• 2–3+ years of Salesforce experience supporting marketing or GTM teams (admin-level ownership preferred)
• Strong hands-on experience with SQL and data analysis (required)
• Experience building marketing dashboards, attribution models, and performance reporting systems
• Familiarity with institutional crypto, fintech, or financial services and how GTM operates in these environments
• A track record of building or improving data infrastructure and analytics frameworks
• A scrappy, ownership-driven mindset,comfortable wearing multiple hats and operating in a fast-paced environment

Although not a requirement, bonus points if:

• Experience with data warehousing solutions (e.g., Snowflake, BigQuery, Redshift)
• Exposure to BI tools (e.g., Looker, Tableau, Hex)
• You were emotionally moved by the soundtrack to Hamilton, which chronicles the founding of a new financial system. :)

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For over 100 years, Bp has been a leading player in the oil and gas industry, providing integrated energy solutions to governments and customers worldwide.

As a Planning & Performance SME, you will play a crucial role in supporting the Finance Business & Technology (FBT) team, providing planning, performance, and accounting expertise to various businesses.

Your key responsibilities will include:

• Monitoring and analyzing supply chain cash costs
• Preparing monthly performance reports and management presentations
• Tracking actuals vs. budget and forecast; explaining variances
• Identifying cost drivers and trends; highlighting risks and opportunities
• Supporting cost optimization and productivity initiatives
• Supporting rolling forecasting and annual budgeting processes

To be successful in this role, you will need:

• A Bachelor's degree in Finance, Accounting, Economics, Business, Supply Chain, or related field
• MBA or professional certification (CMA/CPA) is a plus
• Relevant Bp business experience and knowledge
• 2–5 years of experience in financial planning & analysis, performance management, or supply chain finance
• Experience in a global or matrix organization is a plus

You will be part of a dynamic team that values diversity, inclusion, and collaboration. We offer a range of benefits, including flexible working arrangements, competitive compensation, and opportunities for growth and development.

Disclaimer: Please note that, according to Hungarian law (2012/I. 113. §), mothers or single parents caring for a child under three years of age cannot be employed in night shift positions.

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This is a unique opportunity to contribute to Mistral's financial transformation from the ground up, experimenting with cutting-edge AI and data tools in a fast-paced, high-impact environment. Your work will include standardizing invoice-to-payment processes, creating onboarding resources for new joiners, and designing monitoring tools for billing and ERP integrations.

As a Finance Tech Intern, you will:

• Help scale the Procure-to-Pay operating model post go-live (hypercare support, issue triage, documentation, and adoption).
• Map and improve Finance workflows across tools such as Payflows (AP), SAP (ERP), Lago (billing), Kyriba (treasury), Anrok (tax), Navan (expenses), and Lucca (HRIS).
• Build clear documentation and runbooks for Finance users (how-tos, decision trees, "common issues" playbooks).
• Maintain a structured backlog of improvements, bugs, and requests, with crisp problem statements, impact, and next steps.
• Support governance topics such as cost center and approver matrices (alignment, validation checks, rollouts).
• Contribute to monitoring and controls: data reconciliation checks, dashboards, and lightweight KPIs to spot issues early.
• Help organize stakeholder routines: meeting preparation, follow-ups, and action tracking

Who you are:

We are looking for a candidate from a Tier 1 Engineering School (or dual degree/Business School with technical skills like coding or Python) who thrives in dynamic and cross-functional environments.

You should be analytical, structured, and comfortable navigating ambiguity, with a knack for identifying root causes and proposing pragmatic solutions.

Experience in scale-ups or operational roles is essential, along with a strong curiosity for how systems (AP, ERP, billing, treasury) interconnect and drive operational impact.

Familiarity with ERP/finance tools (SAP, NetSuite), data manipulation (spreadsheets, SQL, BI tools), or process mapping (BPMN, flowcharts) is a plus.

Above all, we value proactive problem-solvers who are eager to collaborate across teams and stakeholders to build efficient, scalable processes.

What we offer:

• Competitive cash salary and equity
• Daily lunch vouchers: Swile meal vouchers with 10,83€ per worked day, incl 60% offered by company
• Sport: Enjoy discounted access to gyms and fitness studios through our Wellpass partnership
• Transportation: Monthly contribution to a mobility pass via Betterway
• Health: Full health insurance for you and your family
• Parental: Generous parental leave policy
• Visa sponsorship
• Coaching: we offer BetterUp coaching on a voluntary basis

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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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If you're passionate about data and want to influence how one of the world's leading asset management firms operates, this is your opportunity. At BlackRock, we believe the workplace is a strategic asset—not just a location—and that data and insights should illuminate possibilities, guiding continuous evolution and amplifying BlackRock's culture and impact. In this role, you'll turn insights into action, shaping how employees experience work, and how BlackRock delivers for clients.

What's In It for You

• Influence at Scale: Your insights will build how BlackRock Enterprise Services' operates globally—impacting nearly 30,000 employees and the way we deliver for clients.
• Executive Visibility: Work in close partnership with senior leaders to influence strategic decisions and Enterprise Services' capital investment priorities.
• Innovation Opportunities: Drive initiatives like smart building analytics, AI-assisted insights, and frictionless experiences across office environments and digital platforms.
• Career Growth: Accelerate your career by crafting a data strategy that influences how BlackRock's workplaces operate globally—while building an outstanding insights function.
• Purposeful Work: Help build workplaces that cultivate collaboration, well-being, and productivity—making a tangible difference in how people work every day.

About BlackRock

At BlackRock, our smartest investment is you. We help millions of people experience financial well-being—serving clients from global institutions to families and individuals. Our promise is simple: deliver clarity, trusted advice, and solutions that secure a better financial future.

About Enterprise Services

Enterprise Services provides strategic workplace solutions and robust infrastructure to deliver a consistent employee experience globally. Our team spans real estate strategy, workplace operations and facilities management, risk and resilience, corporate security and executive operations, workplace experience and insights.

What You'll Do

• Set the Strategy: Define the workplace data and analytics vision, aligning to firm priorities and translating insights into measurable business value (cost, risk, experience, sustainability).
• Shape and Grow the Function: Lead a hybrid team (FTE and CWKs) including a Reporting Lead and three Data Scientists. Develop the team's existing foundation to improve capabilities and evolve Workplace Data & Insights into a strategic, high-impact function.
• Unify Data: Integrate sources like occupancy sensors, IWMS, badge systems, travel platforms, HRIS, and service tools into a trusted data ecosystem.
• Deliver Insights: Build executive dashboards and scorecards; turn complex data into clear narratives that drive action.
• Enable Decisions: Collaborate with Workplace Planning, Operations and Experience teams to guide space redesigns, capital allocation, travel policies, and service improvements.
• Drive Governance: Establish oversight, protocols, and controls for data quality, privacy, and responsible AI use. Operate within the firm's AI governance structure.
• Innovate: Advance automation, real-time analytics, and smart building use cases; pilot AI-assisted insights.
• Influence & Advise: Provide thought leadership and advice to Enterprise Services' leaders, crafting strategic opportunities and supporting key decisions.

What You Bring

• Experience: 10+ years in workplace analytics, corporate real estate, enterprise reporting, or similar domains.
• Technical Skills: Familiarity with IWMS, IoT/sensors, data warehousing, and BI tools (Power BI, Tableau, SQL).
• Leadership: Ability to influence senior collaborators, tell compelling data stories, and lead cross-functional programs.
• Governance Expertise: Demonstrated background in data stewardship, standards, and adherence.
• Business Impact Orientation: Track record of linking insights to outcomes and measuring results.

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're looking for a Senior Data Analyst to join our Retail Media team. As a key member of our cross-functional team, you will help us make data-driven product decisions, optimize customer and advertiser metrics, and scale the product.

Responsibilities

• Research product hypotheses to optimize main platform metrics for retailers and advertisers: ROAS, Ad spent, Churn Rate, etc.
• Work with PMs and Engineers to scope the most important insights we expect to extract from our data and improvements that we’d like to bring to the platform.
• Collaborate with technical and non-technical business partners to develop / update functionalities.
• Communicate with stakeholders within and outside the team.
• Own the results and business metrics for advertisers and retailers.
• Participate in late-stage sales process and building demos for prospect customers.

Requirements

• You are proficient in BI tools (data analysis, building dashboards for engineers and non-technical folks).
• You are an excellent communicator with the ability to translate business needs into a technical language and vice versa.
• You are excited to leverage massive amounts of data to drive product innovation & deliver business value.
• You are proficient at SQL (any variant), well-versed in exploratory data analysis with Python (pandas & numpy, data visualization libraries).
• Big plus is practical familiarity with the big data stack (Spark, Presto/Athena, Hive).
• You are adept at fast prototyping and providing analytical support for initiatives in the e-commerce space by identifying & focusing on relevant features & metrics.
• You are willing to develop and maintain effective communication tools to report business performance and inform decision-making at a cross-functional level.
• Big plus is AdTech industry experience.

Benefits

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

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We're looking for a skilled Merchant Intelligence Team Member to join our team at Constructor. As a key member of our Merchant Intelligence team, you will play a critical role in helping merchandizers achieve their ecommerce goals, increasing satisfaction with their sites and retention of customers.

Key Responsibilities

• Enhance the dashboard experience for merchandizers by building analytics that provide actionable insights to improve e-commerce KPIs.
• Perform data exploration and research user behavior.
• Implement end-to-end data pipelines to support real-time analytics for essential business metrics.
• Take part in product research and development, iterate with prototypes and customer product interviews.

Requirements

• You are proficient in BI tools (both data analysis and building dashboards for engineers and non-technical folks).
• You are keen to not just prepare more data, but to think critically about how that data can deliver valuable insights and drive impactful decisions for non-technical end users.
• You are an excellent communicator with the ability to translate business requests into technical language and vice versa.
• You are excited to leverage massive amounts of data to drive product innovation and deliver business value.
• You are proficient at SQL (any variant) and well-versed in exploratory data analysis with Python (pandas & numpy, data visualization libraries)
• Practical familiarity with the big data stack (Spark, Hive, Databricks).
• You are adept at fast prototyping and providing analytical support for initiatives in the e-commerce space by identifying and focusing on relevant features and metrics.
• You are willing to develop and maintain effective communication tools to report business performance and inform decision-making at a cross-functional level.
• You get excited to hear feedback from customers and figure out potential solutions.
• You're familiar with math statistics.

Benefits

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

Diversity, Equity, and Inclusion at Constructor

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Audi will be competing in the FIA Formula 1 World Championship from 2026. The new team has three locations. The Motorsport Competence Center of Audi in Neuburg (Germany) is considered one of the most modern of its kind in Europe. The Formula 1 factory of Audi Motorsport AG in Hinwil (Switzerland) is known for its innovative technologies and passion for racing. The Audi Motorsport Technology Center, UK, is in its launch phase and growing continuously. Our Power Unit comes from Neuburg, while Hinwil is responsible for the development of the chassis and race operations.

What you need? The mindset of an athlete. If you are someone for whom giving up isn’t an option and limits are just something to be overcome, you can bring _Vorsprung durch Technik_ to Formula 1 with us. Become part of this unique project and make motorsport history.

The position is to be filled at Audi Formula Racing GmbH in Neuburg (Germany).

In Finance, we act as the central interface of Audi Formula Racing GmbH to ensure that all departments are provided with the appropriate budgets and necessary resources. We also make sure that clear frameworks and relevant KPIs for operational steering are transparently available. In addition to our high personal standards and strong team performance, enjoying our work is also a top priority for us! Due to the interdependencies of many different topics within our area of responsibility, close collaboration and a high degree of openness are essential for our success.

Your Mission

• Business partner for the Operations division: Responsible for cost planning, forecast preparation (VSI process), and analyses in close collaboration with the OE management and other controllers
• Contribution to overarching finance topics such as budget planning, annual/multi-year planning, and group-wide planning and forecast processes
• Preparation and analysis of monthly reports, variance analyses, and ad-hoc reports in cooperation with the specialist departments for OE management and the executive board
• Independent execution of monthly closing activities
• Conducting profitability analyses and make-or-buy assessments to support decision-making
• Design, development, and continuous improvement of controlling processes and methods in close collaboration with relevant stakeholders, including active involvement in AFR projects
• Close collaboration with internal interfaces such as Procurement, Engineering, Logistics, IT, Accounting, and with external partners

Your Profile

• Completed degree in Business Administration, Industrial Engineering, or a comparable qualification
• Several years of professional experience in the financial steering of departments or organizations
• Strong expertise in evaluating concepts, processes, and investments, including profitability analyses and make-or-buy decisions
• Proficient in MS Office (especially Excel and PowerPoint) as well as SAP (FI/CO); experience with BI tools (e.g., Power BI) is an advantage
• Strong analytical skills and the ability to present complex matters in a clear and understandable way
• High level of initiative, teamwork skills, and strong communication and assertiveness
• Enthusiasm for designing and optimizing processes and methods
• Fluent German and English language skills suitable for negotiation

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We’re looking for someone to own the technical foundation for how Cursor measures marketing performance end-to-end. You will build reliable tracking (client + server-side), wire up CRM and warehouse integrations, and create reporting that the paid and lifecycle teams can trust for optimization and experimentation. This role sits at the intersection of marketing ops, data engineering, and analytics, and will partner closely with paid media, revenue ops, and data.

What you’ll do

• Implement server-side tracking using Stape.io (or similar server-side GTM hosting)

• Configure and maintain pixels/tags and GTM containers (client + server) across platforms, including:
• Google Ads (Enhanced Conversions)
• Meta Pixel + Conversions API
• LinkedIn Insight Tag
• Other networks (Bing, TikTok, Reddit, etc.)

• Operationalize new marketing experiments (UTMs, tracking parameters, campaign setup, routing rules) so initiatives are measurable from day one

• Set up integrations that push CRM events back to ad networks for optimization (SQLs, Opportunities, Closed Won)

• Manage syncing of CRM and warehouse audiences into ad platforms and marketing tools (via Hightouch or similar), ensuring segmentation accuracy and timely refreshes

• Build automations using native integrations or tools like Zapier / Make / Clay, webhooks, or APIs when needed

• Build or connect data sources for reporting dashboards (Roadway, Fibbler, Hex, and other BI tools)

• Build and maintain core marketing + pipeline dashboards, and validate data accuracy across systems (CRM, ad platforms, warehouse, BI)

• Partner with the paid team to run measurement studies (for example, geo-lift holdouts) and interpret results

• Configure conversion events across ad platforms, and ensure consistent event definitions and naming

• Run testing and QA via Tag Assistant, Events Manager, and related tooling

• Debug tracking and attribution issues when platform data does not match (for example, Google Ads vs CRM), and drive fixes to resolution

You may be a fit if

• You have built and maintained modern marketing tracking stacks, including server-side setups (GTM server-side, Stape, or similar)

• You are comfortable working across GTM, ad platform pixels, conversion APIs, and event schemas

• You have experience integrating CRM outcomes back into ad platforms (offline conversions, lead stages, pipeline, revenue)

• You can work with data pipelines and audience sync tools (Hightouch or similar) and care about data quality

• You have experience building reliable reporting in BI tools and can validate source-of-truth metrics across systems

• You are strong at debugging and can systematically troubleshoot tracking discrepancies

• You can collaborate with paid media, lifecycle, RevOps, and data teams in a high-ownership environment

• You move fast, document what matters, and raise issues early when measurement is at risk

• You are willing to go above and beyond when it matters

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Describe your experience implementing server-side tracking. What tool(s) did you use?

Walk through how you’ve pushed offline conversion events (e.g., SQL, Opportunity, Closed Won) back into Google Ads.

What tools have you used for data syncing (Hightouch, Zapier, APIs, webhooks, etc.)?

What reporting and BI tools have you used to build marketing and pipeline dashboards? Please describe what you built and the data sources involved.

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Location

San Francisco

Employment Type

Full time

Department

Partner Strategy, Operations & Programs

Compensation

• $239K – $265K • 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

OpenAI’s mission is to build safe artificial general intelligence (AGI) that benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab to accomplish it.

OpenAI’s Go-To-Market (GTM) Partnerships team builds a strategic, global partner ecosystem designed to accelerate customer success, enable AI adoption, and drive growth in support of our mission. We collaborate closely across internal teams to ensure unified strategy and seamless execution.

About the Role

As part of the Partner Strategy, Operations & Programs team, this role will serve as a trusted advisor to GTM Partnerships leadership. You will drive core operating rhythms and lead high-impact projects that strengthen how we define and measure partner performance, shape targets, and report progress. You’ll collaborate cross-functionally with Revenue Operations, Finance, Data, Growth, and Systems teams to align definitions and reporting, drive efficiency, and help Partner Directors, Partner Technical Success, and our partner ecosystem execute at scale.

We’re looking for someone who can pair sharp analytical judgment with strong operational instincts, and who can lead cross-functional work that improves how the business runs.

In this role you will:

• Build and drive the Partnerships operating cadence and collaborate with Revenue Operations to bring partner performance into core GTM rhythms (forecasting, pipeline, business reviews)

• Define, build, and maintain partner performance reporting (KPIs, dashboards, scorecards, deep dives) that leaders and field teams use to manage performance and drive decisions, and build or extend select views into partner-facing reporting on partner platforms

• Partner with GTM Planning and Strategic Finance to shape targets, and own target allocation and rollout so partner teams have clear ownership and understand how success is measured

• Own and evolve the partnerships data and attribution model, driving the process and system changes needed to accurately capture partner impact across the customer lifecycle

• Lead strategic, cross-functional initiatives that improve efficiency and effectiveness across Partnerships and the broader GTM organization, including driving automation that reduces manual overhead

You might thrive in this role if you have:

• 7+ years of experience in GTM Strategy & Operations at a high-growth technology company, with meaningful exposure driving partner / channel / ecosystem motions

• Proficiency in Salesforce, data analysis in Sheets/Excel, querying and validating data using SQL (e.g., in Databricks), and building dashboards in BI tools (e.g., Tableau)

• Deep understanding of partnerships data models and KPIs, including how partner impact is tracked and reported across deals

• A track record supporting and driving GTM operating cadences (forecasting, pipeline reviews, business reviews) with cross-functional stakeholders and partnerships leadership

• Experience partnering with GTM Planning and Strategic Finance to model targets, owning quota setting for partner teams, and operationalizing coverage models with technical teams

• Exceptional analytical judgment and business acumen, with a track record of solving complex problems through thoughtful analysis and strategic execution

• Strong communication and project management skills, with the ability to engage, influence, and align cross-functional teams

• Ability to operate autonomously and maintain momentum in a rapidly evolving environment

• Strong organizational skills, with the discipline to prioritize and manage multiple high-impact projects simultaneously

• Understanding of the AI landscape and how AI solutions solve real-world customer problems

Experience Level

Senior

Employment Type

Full time

Workplace Type

Hybrid

Category

Engineering

Industry

Technology

Salary Range

$239K – $265K

Required Skills

• Salesforce
• Data analysis in Sheets/Excel
• SQL (e.g., in Databricks)
• BI tools (e.g., Tableau)
• Partnerships data models and KPIs
• GTM operating cadences
• Strategic Finance
• Technical teams
• AI landscape

Preferred Skills

• GTM Strategy & Operations
• High-growth technology company
• Partner / channel / ecosystem motions
• Business acumen
• Analytical judgment
• Project management
• Cross-functional teams
• Autonomy
• Organizational skills
• AI solutions

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Growth - Performance Marketing & Growth Optimizations

Location

San Francisco

Employment Type

Full time

Department

Compensation

• $239K – $265K • 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 Growth team drives user and revenue growth across ChatGPT’s consumer and business segments worldwide. We operate across the full funnel - from awareness and acquisition through activation, retention, and expansion - using a combination of global performance marketing, AI-powered workflows, in-product optimization, insights, experimentation, and creative ops engineering.

About the Role

Growth Marketing is a rapidly scaling functional area, accelerating growth by connecting out-of-product and in-product experiences into seamless journeys that acquire, retain, and re-engage users, unlocking ChatGPT’s transformative potential in users’ daily lives. We work cross-functionally with product, engineering, design, data science, finance, and marketing to unlock scalable growth levers and deliver measurable impact across diverse markets.

This team thrives on rapid testing, rigorous measurement, and creative problem solving, all while keeping user value at the center of our decision-making.

This role is based in San Francisco. 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:

• Designing and executing global paid acquisition campaigns across multiple channels (search, social, influencer, programmatic, emerging formats) to drive high-quality user growth.

• Leading growth experiments and A/B testing - defining hypotheses, setting up measurement frameworks, enhancing conversions, and translating insights into scalable playbooks.

• Partnering with engineering and data science to build, test, and refine growth tooling, creative ops automation, and optimization algorithms.

• Managing full-funnel performance metrics, from reach/engagement to LTV/CAC, and identifying new opportunities for efficiency and scale.

• Developing AI-native workflows that transform how we scale, reach, personalize bringing users from out-of-product experiences to in-product entry points and LTV-optimized user journeys.

• Build AI-first creative systems, collaborating with design to rapidly prototype and test high-performing assets.

• Expanding growth channels and market coverage, with attention to localization and regional performance nuances.

• Driving influencer and creator partnerships as part of the paid and organic growth mix.

• Collaborating with product teams to improve in-product conversion and onboarding flows.

• Developing and refining our attribution models, marketing tech stack, and automation processes to ensure we’re always optimizing for maximum impact.

You might thrive in this role if you are/have:

• 8+ years of experience in growth marketing, performance marketing, or growth product management, ideally in high-growth tech.

• Proven ability to launch, scale, and optimize paid channels at significant budgets.

• Strong analytical skills and proficiency with measurement tools (Google Analytics, internal BI tools, experimentation platforms).

• Experience with AI-driven marketing tools, creative ops engineering, and workflow automation.

• Familiarity with engineering concepts and ability to work with technical teams to ship growth and martech infrastructure.

• A test-and-learn mindset and comfort with fast-paced, ambiguous environments.

• Excellent cross-functional communication skills and stakeholder management experience.

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 fabric of our society.

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Location

New York City

Employment Type

Full time

Location Type

Hybrid

Department

Compensation

• $239K – $265K • 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 Growth team drives user and revenue growth across ChatGPT’s consumer and business segments worldwide. We operate across the full funnel - from awareness and acquisition through activation, retention, and expansion - using a combination of global performance marketing, AI-powered workflows, in-product optimization, insights, experimentation, and creative ops engineering.

About the Role

Growth Marketing is a rapidly scaling functional area, accelerating growth by connecting out-of-product and in-product experiences into seamless journeys that acquire, retain, and re-engage users, unlocking ChatGPT’s transformative potential in users’ daily lives. We work cross-functionally with product, engineering, design, data science, finance, and marketing to unlock scalable growth levers and deliver measurable impact across diverse markets.

This team thrives on rapid testing, rigorous measurement, and creative problem solving, all while keeping user value at the centre of our decision-making.

This role is based in New York, NY. 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:

• Designing and executing global paid acquisition campaigns across multiple channels (search, social, influencer, programmatic, emerging formats) to drive high-quality user growth.

• Leading growth experiments and A/B testing - defining hypotheses, setting up measurement frameworks, enhancing conversions, and translating insights into scalable playbooks.

• Partnering with engineering and data science to build, test, and refine growth tooling, creative ops automation, and optimization algorithms.

• Managing full-funnel performance metrics, from reach/engagement to LTV/CAC, and identifying new opportunities for efficiency and scale.

• Developing AI-native workflows that transform how we scale, reach, personalize bringing users from out-of-product experiences to in-product entry points and LTV-optimized user journeys.

• Build AI-first creative systems, collaborating with design to rapidly prototype and test high-performing assets.

• Expanding growth channels and market coverage, with attention to localization and regional performance nuances.

• Driving influencer and creator partnerships as part of the paid and organic growth mix.

• Collaborating with product teams to improve in-product conversion and onboarding flows.

• Developing and refining our attribution models, marketing tech stack, and automation processes to ensure we’re always optimizing for maximum impact.

You might thrive in this role if you are/have:

• 8+ years of experience in growth marketing, performance marketing, or growth product management, ideally in high-growth tech.

• Proven ability to launch, scale, and optimize paid channels at significant budgets.

• Strong analytical skills and proficiency with measurement tools (Google Analytics, internal BI tools, experimentation platforms).

• Experience with AI-driven marketing tools, creative ops engineering, and workflow automation.

• Familiarity with engineering concepts and ability to work with technical teams to ship growth and martech infrastructure.

• A test-and-learn mindset and comfort with fast-paced, ambiguous environments.

• Excellent cross-functional communication skills and stakeholder management experience.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. They push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through their products.

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As the Global Business Insights & Automation Lead, you will combine the analytical depth of a data scientist with the strategic storytelling and executive communication of a management consultant. You will lead a small, high-impact team to design, automate, and operationalize global business insight systems that power OpenAI’s decision-making at scale.

You’ll work closely with Finance leadership, GTM, Product, and Engineering to surface the “why behind the numbers,” automate recurring analytics, and develop frameworks that connect business drivers to company strategy. This is a hands-on leadership role — equally focused on building analytical frameworks, mentoring talent, and shaping executive narratives.

In this role, you will:

• Become an expert in OpenAI’s data, systems, and business dynamics across products and regions.

• Lead the design and implementation of global KPI frameworks and insight automation systems that serve cross functional partners.

• Architect scalable data products — dashboards, variance analyzers, pacing models, and agentic workflows — to deliver proactive insights.

• Automate recurring reporting and analysis using OpenAI’s internal tools, surfacing real-time business trends and performance drivers.

• Partner with FP&A to connect financial performance with operational and product metrics, improving forecasting accuracy and investment decisions.

• Build models and frameworks for segmentation, pricing, and LTV to uncover growth opportunities and efficiency levers.

• Translate complex analyses into clear, concise executive narratives — distilling technical detail into actionable insights.

• Coach and develop a small, high-performing team of analytics engineer and data scientists, ensuring analytical rigor and stakeholder trust.

You might thrive in this role if you:

• Have 10+ years of experience in analytics, business insights, or data science — ideally combining experience at McKinsey, Bain, or BCG with hands-on work in a high-growth technology company.

• Hold an advanced degree (MS or PhD) in a quantitative field (Statistics, Economics, Computer Science, Operations Research, etc.).

• Are comfortable in SQL and Python, and comfortable building analytical models and automated pipelines.

• Have deep experience with BI tools such as Tableau and have built scalable dashboards and metric layers used by executives.

• Bring a strong understanding of financial and operational metrics (e.g., revenue, margin, LTV, CAC, WAU/DAU, ARPU) and how they interact across functions.

• Excel at executive storytelling — simplifying complexity and influencing decisions with clarity and credibility.

• Thrive in fast-moving, ambiguous environments and take ownership of problems end-to-end.

Why this role matters

This role sits at the intersection of data, strategy, and automation. You will shape how OpenAI’s leadership measures performance, understands trade-offs, and drives growth — building the systems, models, and narratives that turn data into decisions.

About the Team

The Strategic Finance Data Science team builds the analytical and automation foundation that powers OpenAI’s most important business and financial decisions. We partner across Finance, Product, Engineering, and Go-to-Market to create a unified understanding of company performance — transforming data into proactive insights and intelligent systems that guide OpenAI’s growth.

Our mission is to enable the Finance of the Future: an integrated ecosystem where data, models, and agentic workflows automate insight delivery and help leaders make better, faster, and more confident decisions.

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 artificial general intelligence and develop and apply AGI in areas like climate change, healthcare, and education.

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About the Role

We're seeking a Senior Product Finance Manager to serve as the finance business partner to our CTO organization (Product, Engineering, R&D). This is a senior individual contributor role with high visibility to executive leadership and potential to build a team as we scale. This is a rare opportunity to build product finance infrastructure from the ground up and directly shape how we allocate capital across our evolving product suite.

Responsibilities

• Act as the primary finance partner to the CTO organization (Product, Engineering, R&D), embedded in planning, prioritization, and major investment decisions

• Lead business cases and driver-based models for new product launches, major feature investments, and launch readiness, including revenue potential, COGS impact, and margin outcomes.

• Support investment gate materials (scenarios, sensitivities, and risks) and make recommendations for leadership.

• Define and operationalize KPIs for evaluating product performance: unit economics, SKU-level profitability, pricing sensitivity, and contribution margins across our evolving product portfolio

• Partner with Engineering leadership to understand and forecast key cost drivers (compute, infrastructure, vendor costs) and translate them into financial planning assumptions

• Lead annual planning and forecast cadence for the CTO org: budget, headcount, prioritization, and productivity assumptions.

• Partner with Product and GTM on pricing/packaging for new and existing offerings, ensuring value delivery aligns with value capture and cost structure

• Collaborate with Analytics and DevOps to define KPIs and ensure adoption of reliable reporting (clear definitions, single source of truth, decision-ready dashboards).

• Support the CFO and executive leadership on strategic initiatives

Skills & Experience

• 10+ years in Strategic Finance, FP&A, Investment Banking, or management consulting (MBB)

• Proven experience supporting technical organizations and influencing executive decisions in ambiguous environments.

• Strong driver-based modeling skills; ability to structure ambiguous problems and communicate trade-offs clearly

• Advanced Excel/Sheets and comfort with BI tools (Looker, Omni, Tableau, etc.); SQL is a strong plus

• Outstanding communication and stakeholder management skills with senior technical and GTM stakeholders, as well as non-finance audiences

• Track record of operating in fast-paced, high-growth, VC-backed environments

Strongly Preferred

• Understanding of cloud infrastructure and variable cost structures

• Prior exposure to multi-product portfolio management and product-led growth motions

• Experience scaling finance processes through periods of rapid organizational growth

• Product intuition and curiosity – you ask 'why' and understand what drives product decisions

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What you'll do

We are looking for a Senior Manager of Analytics to lead the data strategy, insight generation, and experimentation across all EA Mobile titles currently live and in development.

• Hire, manage, mentor, and grow a team of analysts, creating a collaborative and high-impact team culture
• Lead the design and implementation of foundational data infrastructure, including telemetry, KPIs, and reporting for mobile titles

What you need

• 5+ years of experience in analytics or data science
• 2+ years of experience managing people, with a focus on performance development and team building

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What you'll do

• Design, develop, and maintain batch and streaming data pipelines, ensuring seamless data flow and integrity.
• Implement scalable data transformations using dbt and orchestrate workflows via Airflow or equivalent tools.

What you need

• 5-7 years of hands-on experience in data engineering.

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What you'll do

• E2E Process Management - Build and maintain strategic automations and standardized processes that support cross-functional teams and promote consistency and adoption.
• Cross-Functional Collaboration - Collaborate with cross-functional teams to drive initiatives that enhance revenue generation and operational effectiveness.

What you need

• 4+ years of Revenue Operations at high-growth technology companies
• Proven track record of developing and implementing end-to-end solutions, from data collection and analysis to execution.

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