Business Operations Analyst in United States

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role Most businesses have no idea if they're overpaying for their software. They renew on autopilot, negotiate without benchmarks, and discover vendor alternatives only after the contract is already signed. Ramp is uniquely positioned to change that. We see billions of dollars of real-world spend and contract data across thousands of companies, and we're turning it into an intelligence layer that tells businesses exactly what they should be paying, which vendors to consider, and when to act. As PM for Vendor Intelligence & Marketplace, you'll own the product that powers this: our price benchmarking engine, contract analysis (extracting structure and risk from vendor agreements), and the emerging B2B marketplace that connects Ramp's buyer base to the right vendors at the right price. You'll be one of the first PMs building a true buyer-side intelligence layer inside a financial platform, replacing renewal anxiety and negotiation guesswork with data-driven, AI-powered decisions. Please note that this role requires in-person presence at o

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role The Data Platform builds infrastructure and tools that enable Ramp to realize business value from data. We partner closely with stakeholder teams to build this infrastructure and the applications on top of it. This role is particularly focused on building platforms that support the data science development lifecycle. You’ll partner with applied scientists, AI engineers, Risk engineers, and other ML developers on building infrastructure and tools that enable and accelerate the development of machine learning models. What You’ll Do Build and integrate the components of Ramp's Analytics Platform and Machine Learning Platform. Build tools that improve the agility and data experience of Ramp's Applied Scientists, AI Engineers, and Risk Engineers. Collaborate with stakeholder teams on building and productionizing machine learning applications. Build reliable, scalable, maintainable, and cost-efficient systems across the stack. What You Need Experience with workflow orchestrators like Airflow, Dagster, or Prefect. Experience building infrast

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role The Financial Intelligence team, part of Ramp's Applied AI org, powers the agentic analysis, FP&A, and book-close experiences that over 70,000 businesses rely on to run their finances. We turn messy financial data into a fast, trustworthy, governed data layer that AI agents can work with and build artifacts on top of. This is a frontend-leaning role for an engineer who obsesses over interaction design and data-dense UX, but is just as comfortable designing the API that feeds it. You'll own the surfaces customers actually touch: agentic financial analysis, month-end close, and exploratory data experiences that feel as polished as the best business intelligence tools. If you want your frontend work to sit at the center of real production LLM systems rather than being bolted on at the end, this is the role. What You’ll Do Design and ship customer-facing AI experiences end to end, from React UI through to the APIs and data contracts behind them Build BI-tool-quality interfaces for agentic analysis, FP&A, and book-close workflows:

About the Team The Statsig team within OpenAI builds the experimentation, feature rollout, dynamic configuration, and analytics systems that help OpenAI ship products with speed, safety, and evidence. Our work sits on the critical path for how product, engineering, research, and go-to-market teams learn from real-world usage and make high-confidence decisions. Statsig began as an independent company focused on helping builders move faster through trustworthy experimentation and feature management. After joining OpenAI, the team began its next chapter: bringing deep product expertise, customer intuition, and mature platform infrastructure into the product development system used by every OpenAI team. Today, teams across ChatGPT, Codex, model measurement, consumer monetization, business subscriptions, developer products, and shared infrastructure rely on Statsig to safely introduce new capabilities, measure impact, and roll changes forward or back with confidence. We are at a defining moment as adoption accelerates and the platform becomes a company-wide standard. About the Role We are looking for an Engineering Manager, Statsig Product to lead the product engineering organization responsible for Statsig’s post-acquisition journey at OpenAI. You will define how experimentation, rollout, configuration, and analytics become a simple, reliable, and trusted part of how every OpenAI product team ships. You will set strategy across multiple product and platform workstreams, build the organization and leadership structure needed for the next phase, and establish the operating model for a platform that serves teams across the company. The right leader can operate across product strategy, technical architecture, organizational design, developer experience, reliability, and executive alignment. You will help preserve what made Statsig strong while integrating it deeply into how OpenAI launches, measures, learns, and makes product decisions. In this role, you will: Build, lead,

About the Team The Statsig team within OpenAI owns the experimentation, rollout, dynamic configuration, and analytics infrastructure that sits on the launch path for OpenAI products. Our systems help teams ship safely, evaluate product and model changes in production, and make high-confidence decisions from real-world usage. Statsig began as an independent company built around experimentation, feature management, and product analytics at scale. After Statsig joined OpenAI, the team began the next chapter: bringing that platform expertise and infrastructure into OpenAI as the experimentation and rollout foundation for every product we ship. This is infrastructure with a very direct product consequence. Teams working on ChatGPT, Codex, model measurement, consumer experiences including ads, business subscriptions, developer products, and shared platform systems depend on Statsig to evaluate configurations, move traffic safely, ingest experiment data, serve analytics, and roll changes forward or back when production reality demands it. We are at a critical point in the platform journey. Adoption is accelerating quickly across OpenAI, and the systems that were already important are becoming load-bearing for how the company launches. The infrastructure needs to stay fast under sharply increasing evaluation volume, reliable when more services depend on it, observable enough to debug quickly, and efficient enough to support OpenAI-wide scale. Recent SDK and server-side infrastructure work has already produced measurable wins in latency, reliability, memory usage, and compute efficiency across important services. The next phase is to make those gains systematic: a platform that can absorb rapidly growing product velocity while preserving low latency, data quality, operational safety, and developer trust. Based out of OpenAI's Bellevue office, we are a close-knit team that values in-person collaboration, technical depth, operational ownership, and building infrastructure that

Job Title Demand Planner, Supply Chain, Personal Health (Stamford CT) Job Description 589964 Demand Planner, Supply Chain, Personal Health (Stamford, CT) As a Demand Planner, Supply Chain, Personal Health, you will lead the development and execution of the demand planning process, leveraging data, market insights, and cross-functional collaboration to improve forecast accuracy, optimize inventory, and support strategic business decisions. Your role: Lead and optimize the end-to-end demand planning process, developing accurate and timely forecasts that incorporate market dynamics, consumer trends, customer insights, and business objectives across assigned product categories. Partner closely with sales, marketing, supply chain, and other cross-functional teams to drive consensus demand planning, align supply and demand, and ensure demand plans are updated in support of business planning cycles and strategic decision-making. Develop and refine demand planning models, tools, and analytical frameworks, leveraging advanced analytics and machine learning to improve forecast accuracy, anticipate demand fluctuations, and optimize inventory management. Analyze internal and external data and key performance indicator trends to identify risks, supply chain disruptions, and process improvement opportunities; develop and implement solutions that improve operational efficiency and customer satisfaction. Drive continuous improvement across the demand planning function by implementing demand planning systems and emerging technologies, establishing best practices, and supporting talent management activities including selection, performance management, career development, and day-to-day operational leadership. You're the right fit if: You’ve acquired 3+ years of experience with a Bachelor’s degree or 1&#4

Become a part of our caring community Humana is seeking a Lead Product Manager, Medication Experience & Pharmacy Solutions to lead the strategy, discovery, delivery, and optimization of digital experiences that help members understand, manage, and maximize the value of their prescription benefits. This highly visible role sits at the intersection of pharmacy, health insurance, member experience, and digital product innovation. The Lead Product Manager will own the product lifecycle end-to-end, from identifying customer and business opportunities through defining features and stories, partnering across Design and Engineering, driving delivery, and measuring outcomes. Success requires strong strategic thinking, customer obsession, analytical rigor, and the ability to influence cross-functional stakeholders in a highly matrixed environment. The role directly supports Humana's goals of improving member experience, increasing digital engagement, reducing friction in medication-related journeys, and helping members make informed healthcare decisions. Why Join This Team This role offers a unique opportunity to solve meaningful healthcare problems at scale. You will help millions of members better understand their benefits, manage medications, reduce prescription costs, and make more informed healthcare decisions. Unlike many product organizations, our Product Managers own the entire product lifecycle, providing an uncommon level of ownership, accountability, and impact from strategy through implementation and measurement. Responsibilities Define and execute product strategy, vision, and roadmap for Medication Experience and Pharmacy Solutions Identify member, business, and operational opportunities through research, analytics, VOC, and stakeholder insights Lead product discovery efforts to validate problems, oppor

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! About The Role Help bring Cohere's enablement strategy to life for our field teams in North America. This generalist role will build and manage programs end-to-end, from design through rollout, measurement, and iteration, while working directly with managers and reps to ensure enablement drives results. You'll report to the Head of Sales Enablement and help establish operational rigor as this global function scales. Key Responsibilities Own enablement programs from design through rollout, measurement, and iteration Partner with Product, Marketing, Sales Leadership, and RevOps to align GTM priorities and embed enablement into every stage of the sales lifecycle Create and curate high-impact resources (playbooks, battle cards, demo scripts, certification programs) for Cohere's solutions Establish KPIs (win rates, sales cycle efficiency) and use analytics to refine initiatives and prove ROI Operationalize MEDDPICC methodology into everyday seller behavior (deal reviews, coaching, planning) Build certification paths that accelerate new seller productivity across regions and cultures Maintain and evolve the enablement content platform

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We’re looking for a high-performing strategic finance professional to join our growing GTM Finance team. Our business grows with our customers' usage, which makes the finance function highly strategic at Baseten: growth, pricing, margin, and capacity decisions are business model decisions. You'll sit at the center of them, partnering directly with GTM leadership and reporting into a finance team with a seat at the table for the calls that shape the company's trajectory. This role is ideal for someone with 3 to 7 years of experience across strategic finance, investing, and/or investment banking who wants broad exposure to company-building inside a fast-scaling AI infrastructure company. Experience at a usage-based software company is a plus. RESPONSIBILITIES Own financial planning, forecasting, and budgeting processes for the GTM org Build and maintain financial models across revenue, S&M spend, headcount, and strategic bets Analyze the metrics that define a usage-based business – ARR, gross margin, consumption trends, retention, and GTM efficiency Partner with GTM leaders to set targets, evaluate growth initiatives, shape pricing, and design sales compensation Help prepare board materials, investor updates, and fundraising analyses Improve financial reporting, dashboards, and operational rigor so our infrastructure scales as fast as our revenue Work cross-functionally to turn ambiguous business questions int

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. ROLE We’re looking for a high-performing strategic finance professional to join our growing GTM Finance team. Our business grows with our customers' usage, which makes the finance function highly strategic at Baseten: growth, pricing, margin, and capacity decisions are business model decisions. You'll sit at the center of them, partnering directly with GTM leadership and reporting into a finance team with a seat at the table for the calls that shape the company's trajectory. This role is ideal for someone with 3 to 7 years of experience across strategic finance, investing, and/or investment banking who wants broad exposure to company-building inside a fast-scaling AI infrastructure company. Experience at a usage-based software company is a plus. RESPONSIBILITIES Own financial planning, forecasting, and budgeting processes for the GTM org Build and maintain financial models across revenue, S&M spend, headcount, and strategic bets Analyze the metrics that define a usage-based business – ARR, gross margin, consumption trends, retention, and GTM efficiency Partner with GTM leaders to set targets, evaluate growth initiatives, shape pricing, and design sales compensation Help prepare board materials, investor updates, and fundraising analyses Improve financial reporting, dashboards, and operational rigor so our infrastructure scales as fast as our revenue Work cross-functionally to turn ambiguous business questions into

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: The Total Rewards Compensation team serves as a strategic advisor to business leaders, managers, and employees across Airbnb. We are compensation experts with a deep understanding of our stakeholders, problem solvers who use data and insights to drive value, and partners who build the tools, models, and frameworks that support sound compensation decision-making across the company. This role sits within the Compensation function and will work closely with the Technology organization and cross-functional partners including Recruiting, People Analytics, Finance, Legal and Talent. The Difference You Will Make: We are looking for a Technical Compensation Partner to serve as the dedicated compensation partner for the Technology organization, covering Engineering, Infrastructure, Machine Learning, and Data Science. This role will support VP and Director level tech leaders and their Talent Partners as the primary day-to-day compensation resource. The ideal candidate will be a strong business partner and a builder of compensation programs, tools, and data infrastructure, and must be comfortable operating with autonomy in a fast-moving environment. A Typical Day: Serve as the dedicated compensation partner for the Technology organization, supporting VP and Director level leaders, Talent Directors, and People Partners across Engineering, Infrastructure, ML/AI, and Data Science. Act as the primary point of contact for Talent Directors and senior tech leaders on new hire offers, internal equity reviews, leveling decisions, and out-of-cycle requests. Own compensation cycle execution f

About the Team The Strategic Finance team provides financial insights and guidance to support the organization's long-term goals and strategies. We partner across the business to allocate and deploy our resources for the highest impact outcomes. About the Role We are hiring a Hardware Finance Manager, Consolidations & Systems to own the consolidated financial reporting, forecasting cadence, and financial systems across our hardware organizations (Io and Robotics). This role sits at the intersection of Hardware Finance, central FP&A, Accounting, and Finance Systems, and is responsible for ensuring leadership has a single, accurate, and timely financial view of the hardware business. This role will serve as the embedded owner of the hardware financial backbone, with end-to-end responsibility for consolidated P&L reporting, forecasting and variance analysis, and the systems and processes that enable scalable, decision-ready insights. You will help ensure hardware financials are consistent, auditable, and fit for executive and board-level decision-making as the organization scales in size, complexity, and capital intensity. We have a strong preference for candidates who can be based in our San Francisco HQ. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will oversee multiple areas of responsibility: Own end-to-end consolidated financial reporting for all hardware organizations (Io and Robotics), delivering a single, integrated P&L view across R&D, Product, Revenue, COGS, and OpEx. Establish and run the hardware financial operating cadence, including monthly close, forecasting, reforecasting, and variance analysis, ensuring consistency and accountability across teams. Serve as a key finance partner to Hardware Finance leads, central FP&A, and Accounting, aligning bottoms-up plans with accounting actuals and enterprise reporting requirements. Build and maintain consoli

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Staff Data Scientist, Finance About the Team The Finance Data Science team builds the forecasting and decision systems that power Snowflake's financial planning, operating cadence, and long-term strategy. Our work informs executive decision-making, product and go-to-market priorities, resource allocation, pricing, and cross-functional decisions across Finance, Product, Sales, and Data Science. We are expanding a driver-based revenue modeling platform that translates product and workload activity into trusted financial outcomes. The program began with one product category and will scale a common modeling and publishing framework across Snowflake's product categories. The models are highly visible, refreshed frequently, and designed for self-service scenario planning and business reviews. The Role We are hiring a Staff Data Scientist to lead the next phase of Snowflake's driver-based revenue modeling program. This role is not just about building models. It is about creating reliable, explainable, production-grade decision systems that connect upstream business and product levers to revenue outcomes. You will own high-impact, open-ended problems spanning driver identification, revenue decomposition, leading indicators, cohort and use-case modeling, scenario analysis, and multi

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Reporting to the Director of Global Vulnerability Management, you will serve as a Senior Security Research Engineer and technical lead within SIE’s Global Vulnerability Management team. You will lead complex work that advances our Threat Exposure Management capability and supports our transition to a Continuous Threat Exposure Management operating model, while remaining directly engaged in vulnerability research, analysis, security validation, prioritization, and remediation support. You will partner across Information Security, engineering, technology, and business teams to improve how SIE discovers, prioritizes, validates, and mobilizes action on security risks. You will translate annual TEM goals into defined workstreams, delivery plans, success measures, and repeatable operating practices that improve visibility, decision-making, remediation outcomes, and program scale. Responsibilities Lead complex Global Vulnerability Management workstreams that advance SIE’s Threat Exposure Management capability and transition toward a Continuous Threat Exposure Management operating model across discovery, prioritization, validation, and mobilization. Translate annual TEM goals into defined delivery plans, milestones, success measures, dependencies, and repeatable operating

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. CVS Health is seeking an SDET Manager to lead Quality Engineering and software delivery transformation across the Medicare Sales & Acquisition ecosystem. This role is critical to modernizing how we build, test, and deliver software, including embedding AI-driven capabilities into the SDLC. You will translate business workflows (Sales, Enrollment, Broker, and Telesales) into scalable, automated testing solutions that improve speed, quality, and operational efficiency. This is a hands-on technical leadership role responsible for driving test automation strategy, enabling intelligent SDLC pipelines, and building a high-performing engineering team aligned to enterprise goals. This role will also help shape the team's transition toward AWS-native test infrastructure and agent-orchestrated cycles, positioning the organization to scale automation alongside delivery volume in future years. Key Responsibilities Lead the design and implementation of AI-augmented Quality Engineering solutions — including agentic test generation, self-healing frameworks, and AI-assisted defect analysis — advancing the SDLC toward an AI-driven Automated Delivery Lifecycle (ADLC) Drive the migration of automation frameworks and test data management onto AWS-native services (e.g., Bedrock for model orchestration, Lambda/Step Functions for event-driven test pipelines), enabling