Sales Operations Global Process Owner 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 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 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 Own the startup. The whole startup motion. We want 90%+ of every newly incorporated company in the US to start their financial life on Ramp, and we are giving one person the keys to make that happen. This is not a marketing seat. You will be the general manager with the P&L. You own acquisition, product strategy, onboarding, pricing, incentives, positioning, lifecycle, and the pipeline number for the startup segment end to end. If a founder incorporates on a Tuesday, your job is to make sure they have a Ramp card by Wednesday and never need to think about a competitor. Every lever it takes to make that true is yours to pull, and the ones that don't exist yet are yours to build. You will be based in San Francisco because this is fundamentally a community motion. The startup market does not get won on a billboard. It gets won at the demo day after-party, in the YC group chat, at the founder dinner, in the angel's DMs, and at the accelerator that just announced its batch. We want someone the community already knows and trusts, ideall

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 Applied AI team at Ramp is at the forefront of leveraging AI to drive innovation across our platform. We are seeking strong full-stack engineers who are proficient in web frameworks, backend development, and infrastructure. You will work on exciting projects such as AI Agents, Retrieval-Augmented Generation, Structured Extraction (we made https://github.com/1rgs/jsonformer ), internal tooling for customer-facing teams, fine-tuning models, and build infrastructure for LLM inference. If you're passionate about working on real production use cases of large language models (LLMs) and want to contribute to groundbreaking AI applications, this role is for you. What You’ll Do Ship full-stack AI projects end to end Build and integrate components for AI infrastructure, supporting production-level inference and fine-tuning Develop and improve engineering processes, tools, and systems to scale AI solutions across Ramp Create tools and internal platforms to enhance the productivity and capabilities of Ramp's AI and engineering teams What You

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Customer Success Engineer, you'll help customers get real, measurable value from GitLab after the sale by providing technical product expertise and best practice guidance. You'll be part of the Customer Success Engineer team that delivers GitLab's On-Demand Success Tier through webinars, hands-on labs, office hours, and on-demand engagements. This is a pooled model, so you won't be dedicated to a specific set of accounts. You'll collaborate closely with Customer Success Managers, Account Executives, and Renewals Managers to support implementation, architecture, and use case adoption across GitLab's k

Hyliion is committed to creating innovative solutions that enable clean, flexible and affordable electricity production. The Company’s primary focus is to develop distributed power generators that can operate on various fuel sources to future-proof against an ever-changing energy economy. Job Purpose The Senior Manager, Additive Fleet is responsible for the day-to-day performance of Hyliion's laser powder bed fusion (LPBF) printer fleet in Austin, which produces the complex, high-density metal heat exchanger hardware in the KARNO Core. This hardware can only be produced through metal additive manufacturing, so Hyliion's ability to build KARNO at scale depends directly on the health, uptime, and throughput of the fleet. The role leads the technicians and operators who run and maintain the machines, and owns preventive maintenance strategy, machine health monitoring, and decisions on hardware and software upgrades. The fleet runs the full range of Colibrium Additive LPBF platforms, including new machine technology being adopted in real time, and a primary focus is reducing machine-to-machine variation and building repeatable processes across machine models. This is a hands-on leadership role with regular time on the shop floor, and its scope will grow as Hyliion's print capacity scales. AI at Hyliion At Hyliion, AI is core to how we work. We equip every team member with leading AI tools and count on you to use them — to move faster, solve harder problems, and help us realize the full potential of KARNO technology for the world. Duties and Responsibilities Own fleet uptime and drive continuous improvement in machine-to-machine consistency across Hyliion's LPBF printer fleet. Build and maintain a preventive maintenance program across all machines to identify failure modes before they cause downtime. Lead, schedule, and develop the team of technicians and operators who run and maintain the fleet. Develop machine health monitoring us

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. As a Support Systems Lead at Replit, you'll build and own the systems that let support scale as fast as the product does. You'll own the tools our team works in every day, the technical setup behind self-service and AI-driven support, and the infrastructure that keeps all of it current as Replit ships. Replit is at the forefront of AI-driven software development, and how we support customers is constantly evolving. You'll shape how our support systems adapt to new products, new surfaces, and AI-assisted workflows, operating effectively in ambiguity and turning ad hoc fixes into infrastructure the whole team can rely on. You'll combine hands-on technical depth with systems thinking to keep builders moving, whether they get unblocked through self-service, an AI agent, or a person. This is an individual contributor role to start, with room to grow and build out a team as support scales. IN THIS ROLE YOU WILL: Configure and maintain Zendesk and the surrounding support stack, from the day-to-day workflow and automation setup to business rules and permissions, keeping it able to flex and scale as needs change. Build and maintain assignment logic, queues, tagging and taxonomy, and escalation paths, keeping them running cleanly as volume and workflows change. Set up and maintain support tooling, workflows, and access across internal agents, outsourced vendors, and regions, keeping the systems working for each group as the stack changes. Partner with Engineering on the technical requirements for self-service and in-product support surfaces, and build the entry points, help widgets, and routing behind them. Spot the repetitive steps in agent and admin workflows before they become bottlenecks, and build the automations, bulk acti

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. As a Support Systems Lead at Replit, you'll build and own the systems that let support scale as fast as the product does. You'll own the tools our team works in every day, the technical setup behind self-service and AI-driven support, and the infrastructure that keeps all of it current as Replit ships. Replit is at the forefront of AI-driven software development, and how we support customers is constantly evolving. You'll shape how our support systems adapt to new products, new surfaces, and AI-assisted workflows, operating effectively in ambiguity and turning ad hoc fixes into infrastructure the whole team can rely on. You'll combine hands-on technical depth with systems thinking to keep builders moving, whether they get unblocked through self-service, an AI agent, or a person. This is an individual contributor role to start, with room to grow and build out a team as support scales. IN THIS ROLE YOU WILL: Configure and maintain Zendesk and the surrounding support stack, from the day-to-day workflow and automation setup to business rules and permissions, keeping it able to flex and scale as needs change. Build and maintain assignment logic, queues, tagging and taxonomy, and escalation paths, keeping them running cleanly as volume and workflows change. Set up and maintain support tooling, workflows, and access across internal agents, outsourced vendors, and regions, keeping the systems working for each group as the stack changes. Partner with Engineering on the technical requirements for self-service and in-product support surfaces, and build the entry points, help widgets, and routing behind them. Spot the repetitive steps in agent and admin workflows before they become bottlenecks, and build the automations, bulk acti

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. THE ROLE Lead large-scale brand campaigns across digital, events, and out-of-home. Partner with engineering and product marketing on major product launches. Turn complex technical ideas into clear, compelling visual communication. Evolve the Baseten visual identity into a brand system that scales. Own projects end-to-end, from concept through launch, collaborating directly with marketing, product, engineering, and leadership. Shape our employer brand and help define how new hires experience Baseten. Raise the bar for craft across every customer touchpoint. ABOUT YOU You have a portfolio of exceptional work with outstanding visual craft and attention to detail. You care deeply about quality and sweat the details. You communicate ideas clearly and thrive in collaborative environments. You know when to build systems, not just execute on assets. You default to ownership and are comfortable leading highly cross-functional projects from concept through launch. You're excited by technical products and know how to make complex ideas feel consumable without oversimplifying them. You thrive in a fast-moving environment with a high bar for quality. You have strong opinions about design and can articulate why something works - and why it doesn't. BONUS Motion design and animation experience Experience designing for developers or highly technical audiences. BENEFITS Competitive compensation, including meaningful equity. 100% covera

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. THE ROLE Baseten is seeking talented and experienced Software Engineers to join our Observability team within the Infrastructure organization. As an early member of the Observability Team, you will be pivotal in building and shaping the observability experience for our internal and external customers. By joining this team, you’ll have a direct impact on the reliability and operational excellence of Basetens product systems. As Baseten scales its infrastructure across different cloud providers and diverse hardware, the volume and complexity of operational data is growing by orders of magnitude. This team is responsible for building high-throughput ingest pipelines, cost-efficient storage, and agentic diagnostic tools to ensure that we can detect, diagnose, and resolve issues in minutes rather than hours, even as the systems they operate become more complex. RESPONSIBILITIES Design and build scalable telemetry ingest and storage pipelines for metrics, logs, and traces across Baseten’s multi-cloud infrastructure Own and evolve core observability platforms, driving migrations and architectural improvements that improve reliability, reduce cost, and scale with organizational growth Build instrumentation libraries, SDKs, and integrations that make it easy for engineering teams to emit high-quality telemetry from their services Drive alerting and SLO infrastructure that enables teams to define, monitor, and respond to reliabi

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. THE ROLE We're looking for a Procurement Lead to build Baseten's procurement function from the ground up. This is a foundational, high-ownership role for someone who wants to define how a company runs procurement, not inherit an existing process. As the company scales across engineering, GTM, and corporate functions, we need to build purchasing workflows and vendor relationships. This is a rare, critical-moment hire: you'll set the leading-practice processes, systems, and policies that the company runs on as it continues to grow, with the mandate and dedicated focus to build something built to scale. This role exists to make procurement a source of leverage for the business, not friction. Your goal is to build scalable process, take on vendor management and RFP work that today sits informally with individual teams, and free up business owners' time and capacity, all while building the guardrails the company needs as it grows. You'll partner closely with Finance, Legal, Security, Compliance, IT, and business owners across the company, and you'll be judged on whether teams feel supported and unblocked, not slowed down. RESPONSIBILITIES Procurement Strategy and Process Design and implement Baseten's first company-wide procurement process, approval routing, and other workflows Establish procurement policies (spend thresholds, approval authority, competitive bidding requirements) tailored to a high-growth business Design pr

We're looking for an Engineering Manager II to own and grow the Observability Pipelines engineering org at a pivotal moment in the product's lifecycle. Observability Pipelines is Datadog's on-premise, vendor-agnostic telemetry pipeline product, with a lot still to build as it grows and scales. It sits at the center of a fast-consolidating market, is central to Datadog's data pipeline optimization story for Logs and Metrics customers. This is a build-and-scale opportunity: you'll grow the management and technical leadership layers, co-own the roadmap with Product, and define how this org operates as it continues to expand. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You'll Do: Directly manage the OP org including EM1s across NYC and Paris, set technical direction, and be the connective tissue across a distributed team Build out the management and technical leadership layers as the org continues to grow - today ~20 ICs Partner directly with Product to co-own the roadmap and strategy, helping decide where OP’s engineering investment goes next Set and evolve the operating rhythm across the group: planning cadence, on-call and incident standards, and cross-team alignment Own key cross-org relationships with the SaaS Logs Pipelines team, the BYOC team, and the Vector open-source community Coach managers and senior engineers, and build the succession and growth plans that let the org scale beyond you Who You Are: Experienced managing managers across distributed teams, with a track record of raising the bar on how those teams operate, not just delivering through them Back

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. We’re looking for an experienced Machine Learning Engineer to help us build the next generation of products which will go beyond just ID and enable our members to leverage the power of a networked digital identity. As a Machine Learning Engineer at CLEAR, you will participate in the design, implementation, testing, and deployment of applications to build and enhance our platform - one that interconnects dozens of attributes and qualifications while keeping member privacy and security at the core. A brief highlight of our tech stack: Python / Postgres / Snowflake / dbt AWS SageMaker and MLflow What you'll do: Own and drive the foundational work of a ML system at CLEAR Design, build and deploy ML models for various applications, such as document and image processing, fraud detection. Develop and implement robust data pipelines at a variety of scales, including collection, pre-processing, transformation, and feature engineering Partner with product and other stakeholders to uncover requirements, to innovate, and to solve complex problems Have a strong sense of ownership, responsible for architectural decision-making and striving for continuous improvement in technology and processes at CLEAR What you're great at: 3+ years of experience building, operating and scaling ML models for consumer applications, particularly those with experience building end-to-end systems Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance Expertise in best practices for feature enginee

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The Role: SoFi's Cyber Defense organization is looking for an Offensive Security Lead to mature and grow our Penetration Testing and Red Team functions. This is a hands-on leadership role for someone who has spent years both doing the work and building the program around it — someone equally comfortable running a red team engagement against a critical banking platform and designing the operating model that lets a small team of offensive operators keep pace with a fast-growing fintech. A defining part of this role is modernizing how the team scales. We're looking for a leader who has already built and implemented AI-assisted penetration testing and red teaming programs — using AI tooling to accelerate reconnaissance, exploit development, attack-path analysis, and reporting — and who can bring that experience to bear on the program. You'll own the strategy, staffing, tooling, and execution quality of both disciplines, report into Cyber Defense leadership, and act as a trusted advisor to engineering, product, and risk partners across the company. What You’ll Do: Lead and unify Penetration Testing and Red Team into a single, cohesive Offensive Security function — shared standards, shared tradecraft, shared reporting, distinct missions. Set and execute the offensive security roadmap, aligning testing scope

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