Operations Tooling Manager Jobs

Are you passionate about combating fraud, safeguarding revenue, and protecting users from sophisticated threats? As Spotify continues to grow and innovate, we are looking for a dedicated Fraud Analyst to join our Revenue Protection Operations team. In this role, you will play a crucial role in enhancing our fraud prevention strategy—ensuring a proactive balance between user growth, revenue protection, and maintaining a safe, scalable platform. With scale comes complexity. You will focus on tackling payment fraud, chargebacks/disputes, creator onboarding and platform misuse that risks revenue leakage and partner trust. As a 12-month cover, you will seamlessly step into our ongoing operations, keeping our momentum strong while bringing fresh perspectives to our workflows. You will work with a global team of world-class business managers, data scientists, product managers, and engineers to build robust operational defenses. If you have a keen eye for detail, strong analytical skills, and a drive to stay one step ahead of fraudsters using cutting-edge technologies, we want to hear from you! What You’ll Do Detection & Mitigation: Review suspicious activity flagged by our fraud systems and take swift mitigating and preventative action to protect our genuine users, secure our growth, and minimize revenue leakage. AI & Tooling Innovation: Actively utilize, test, and adopt emerging AI technologies and automated tooling to enhance fraud detection and improve operational productivity. Build & Optimize: Partner closely with internal Product and Engineering teams as well as external vendors to help contribute to the design, requirement gathering, and testing of tooling and system changes to capture evolving fraud and abuse trends early. Trend Analysis & Investigation: Be creative and proactively seek out new fraud and misuse trends. Present data-informed findings and retrospectives to suggest

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. As an Applied Scientist specializing in Machine Learning and Operations Research on this team, you will develop mathematical models and launch algorithms that power these key pricing and ETA decisions. You will leverage your skills to build ML and optimization models and productionalize pipelines that can scale to millions of calls per day while solving critical business problems that have a big impact on the marketplace and rider experience. You will get exposure to a diverse set of real-world problems across optimization, prediction, machine learning, and inference and collaborate closely with teammates and stakeholders across Pricing, from Product Managers to Engineers and Analysts. We are looking for someone who is excited about working in a fast-paced, innovative, and impactful environment, and is adept at balancing complexity and efficiency to translate real world business problems into reliable solutions, systems and decision frameworks. Responsibilities Partner with Data Scientists, Engineers, Product Managers, and Business Partners to frame problems mathematically and within the business context Write production quality code. Design, build and deploy production-grade ML and Optimization models. Able to build custom methods and tooling beyond off-the-shelf libraries. Perform data analysis and build proof-of-concepts to explore and propose ML and Optimization solutions to both new and existing problems. Evaluate machine learning systems against business goals. Collaborate with Engineers to implement algorithms in live systems and ensure the robustness of the systems Establish metrics and development measurement methodologies to monitor the health of our products, as well as the impacts on user and marketplace outcomes Drive collaboration and coordination with cross-functional teams

GAQ327R161 About the Role We're building a finance function that stays ahead of the curve — leveraging AI, automation, and modern tooling to operate at the pace Databricks demands. The Senior Payroll Accountant plays a critical role in executing the day-to-day and month-end accounting tasks associated with Databricks' global payroll. As part of the Global Accounting organization and reporting directly to the Payroll Accounting Manager based in India, you will tackle complex reconciliations, execute detailed variance analysis, and drive process improvements. The ideal candidate is a highly analytical self-starter with a keen eye for detail who thrives in a fast-paced, high-growth environment. The impact you will have: Prepare and record comprehensive payroll journal entries, including salaries, bonuses, commissions, stock-based compensation, benefits, and multi-state/international taxes. Prepare accurate monthly balance sheet reconciliations for assigned accounts, proactively identifying and resolving any variances or discrepancies within the close period. Perform monthly payroll flux analysis, identifying and investigating drivers behind significant period-over-period movements. Prepare payroll accounting for equity compensation programs such as RSUs, stock options, and ESPP, ensuring accurate recording, tax withholding treatment, and reconciliation between equity, payroll, and the general ledger. Execute payroll accounting across global entities, with exposure to high-complexity jurisdictions, including Netherlands, Brazil, France, Germany, and India, ensuring accurate accounting treatment and local compliance. Partner closely with the Payroll Operations team to research and resolve discrepancies between the payroll register and the general ledger. Support annual local statutory audits, consolidated external audits, and internal SOX requests; help maintain a documented system of accounting policies and procedures (SOPs). Partner with the Manager and cross-functiona

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 an experienced recruiter to help support our scaling sales, marketing and revenue operations teams. You'll work closely with hiring managers and Sales leadership to build out the team, with a focus on Account Executives. You'll own ambitious hiring goals and get deep on our product and the AI infrastructure space, so you can speak credibly to candidates about what we build and why it matters. RESPONSIBILITIES Full-cycle recruiting: Own Sales hiring goals and process, from role kickoff through offer acceptance Sourcing: Work with hiring managers to define what "excellent" looks like for each role, then build pipelines through targeted sourcing and creative outreach Candidate experience: Partner closely with recruiting coordination on delivering an exceptional candidate experience, from first reach out to offer close Process improvement: Refine and scale our recruiting process to move faster while keeping a high bar REQUIREMENTS 3+ years of full-cycle recruiting experience, ideally at a fast-growing startup with big headcount goals Proven track record of high-volume sales hiring, especially Account Executives Experience hiring technical sellers, ideally for developer tools, infrastructure, or AI Ownership mindset: you take responsibility for a team's hiring goals and fix what's slowing you down Strong organization, with the ability to run multiple searches at once Clear, direct written and verbal

JOB TITLE Data Reliability Engineer A CAREER WITH CUBIST Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures, and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. What you’ll do Ensure smooth day-to-day implementation of a large research infrastructure and the timely delivery of comprehensive and error-free data to Cubist’s portfolio managers across the globe Serve as a frontline owner for mission-critical data ETL pipelines that power trading and investment decision-making, ensuring reliability, accuracy, and timeliness. Actively manage and resolve data incidents in a fast-paced trading environment, partnering closely with investment professionals, data scientists, and external data vendors. Design and build tooling, automation, and robust documentation to improve operational efficiency, scalability, and data quality across the platform. Play a hands-on role in daily data operations, including data validation, remediation, and enrichment, with opportunities to continuously improve and modernize workflows through engineering best practices. What’s REQUIRED Bachelor’s degree in computer science or a related field. Strong proficiency in SQL Server and Python programming, with experience in AWS and both Windows and Linux environments. Exceptional attention to detail with a strong appreciation for well-defined processes and systems. 3+ years of experience in a client-facing support or operations role. Excellent organizational, communication, and interpersonal skills. Commitment to the highest ethical standards About point72 Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Poin

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 Baseten is looking for an Office Coordinator to help run our New York office and create an exceptional experience for everyone who works in or visits the space. You will work alongside our Office Manager and be at the center of the day-to-day operations of our largest and fastest-growing office. A major focus of this role is making our increasingly complex space work well. You will manage high demand for conference rooms and phone booths, anticipate competing needs, and make thoughtful tradeoffs based on team and business priorities. Like a great EA managing an executive’s calendar, you will constantly look ahead, spot conflicts, and adjust the puzzle. You’ll be part of a growing, highly collaborative team that works together to raise the bar for how we support Baseten. The team shares context, jumps in to support one another, and continuously looks for ways to improve how we operate. As Baseten grows, you’ll have opportunities to take on new challenges and expand your scope. This is an in-person role in New York, expected to be in-office five days per week. RESPONSIBILITIES Collaborate on front-of-house reception with the Office Manager , creating a warm, polished experience for employees, candidates, customers, investors, and other visitors Plan ahead for high-priority and large-group needs, including onboarding, sales bootcamps, candidate interviews, customer visits, confidential meetings, marketing events, a

About the role The Infrastructure Engineering organization comprises three sub-teams: Core Infrastructure (which manages the infrastructure systems that power Chime, including AWS, Networking, Kubernetes, Terraform, and Observability), Infra Platform , and Data Infra (which provides infrastructure support for the Data Engineering organization). This role is on the Core Infrastructure team , where we manage the Infrastructure components that power Chime and make sure our members are able to use Chime products reliably. This includes our Cloud operations, Observability layer and Compute layer. In this role, you can expect to Automate everything, including scaling, monitoring, and operations. Build tools to enable self-service both within the team and across all of Chime engineering. Tooling is written in Ruby on Rails and Go Lang. Design, build, and support Chime's cloud infrastructure using automation and infrastructure-as-code. Adapt new technologies to make Chime run as efficiently and reliably as possible. Partner with product development engineers to build services according to modern design patterns; for example, the 12 Factor App methodology. Develop strong relationships with engineers, managers, and other colleagues based on trust, empathy, and technical expertise. Be a constant advocate and adopter of AI tools and evangelize agentic AI workflows in a way that is safe and reliable. To thrive in this role, you have More than 2 years of cloud and Infrastructure experience Strong development experience in Ruby on Rails and Go Lang. Previous professional experience in a DevOps/SRE/ProdEng role supporting customer-facing web services. Previous success in enabling effective partnerships and strong communication with other engineers and teams. Experience managing Kubernetes clusters cloud hosted or self hosted. Experience building and managing highly-available public cloud infrastructure and services, with an emphasis on stability, scalability, and security. Experien

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team You'll work closely with several teams of engineers and PMs to shape products used by Stripe employees across engineering, operations, finance, and beyond. This is a high-impact role for a designer who finds as much satisfaction in untangling complex workflows and dense information architectures as in crafting polished interfaces. What you'll do You'll take ownership of two spaces within our internal tooling portfolio—Developer Productivity, focused on ensuring every engineer at Stripe has the tools to be productive, and Collaboration, focused on knowledge discovery and communication at scale. You'll pair with an existing designer on the team to bring design quality and consistency to surfaces that are critical to how Stripe operates internally. Responsibilities Own end-to-end design for a portfolio of internal tools—from discovery and problem framing through interaction design, prototyping, and implementation support Partner with engineering and product managers to define product requirements and translate them into clear, usable, and well-considered design solutions Conduct lightweight research and usability sessions with internal users to validate decisions and surface unmet needs Contribute to a consistent design language across our internal tools suite, working in close coordination with the Sail Design team and the Stripe design system Make design trade-offs confidently, knowing when to go deep on craft and when to ship a pragmatic sol

Role Description Dropbox is looking for a strategic leader to build and scale the next generation of Sales Enablement. As Head of Global Sales Enablement & AI Adoption , you will define how our sales organization learns, executes, and performs at scale. You’ll lead the strategy, operating model, and execution for global enablement while leading how sellers and managers adopt AI capabilities to transform the way they work. This role sits at the intersection of Revenue Operations, Sales, Product, Marketing, and AI adoption. You’ll partner closely with executive leadership to identify the highest-impact opportunities to improve seller productivity, accelerate strategic priorities , strengthen manager effectiveness, and create consistent execution across our global go-to-market organization. Success in this role requires balancing strategic thinking with operational excellence. You’ll build scalable enablement programs, modern learning experiences, adoption of AI-enabled workflows and tooling , and measurable operating rhythms that improve business performance—not simply deliver training. If you’re excited about building organizations, influencing executive strategy, and using AI to redefine how revenue teams work, we’d love to meet you. Responsibilities Define and execute the global Sales Enablement strategy and multi-year roadmap aligned to Dropbox’s go-to-market priorities. Build scalable enablement programs that improve seller productivity, manager effectiveness, onboarding, launch readiness, and revenue performance. Partner with Sales, Revenue Operations, Product, Product Marketing, IT, and executive leadership to drive consistent execution across global teams. Partner with GTM Technology and enterprise AI teams to identify, validate, and drive adoption of AI-enabled workflows that improve seller productivity , while maintaining responsible AI governance and usage. Establish measurement frameworks that connect enablement investments to busi

Role Description Dropbox is looking for a strategic leader to build and scale the next generation of Sales Enablement. As Head of Global Sales Enablement & AI Adoption , you will define how our sales organization learns, executes, and performs at scale. You’ll lead the strategy, operating model, and execution for global enablement while leading how sellers and managers adopt AI capabilities to transform the way they work. This role sits at the intersection of Revenue Operations, Sales, Product, Marketing, and AI adoption. You’ll partner closely with executive leadership to identify the highest-impact opportunities to improve seller productivity, accelerate strategic priorities , strengthen manager effectiveness, and create consistent execution across our global go-to-market organization. Success in this role requires balancing strategic thinking with operational excellence. You’ll build scalable enablement programs, modern learning experiences, adoption of AI-enabled workflows and tooling , and measurable operating rhythms that improve business performance—not simply deliver training. If you’re excited about building organizations, influencing executive strategy, and using AI to redefine how revenue teams work, we’d love to meet you. Responsibilities Define and execute the global Sales Enablement strategy and multi-year roadmap aligned to Dropbox’s go-to-market priorities. Build scalable enablement programs that improve seller productivity, manager effectiveness, onboarding, launch readiness, and revenue performance. Partner with Sales, Revenue Operations, Product, Product Marketing, IT, and executive leadership to drive consistent execution across global teams. Partner with GTM Technology and enterprise AI teams to identify, validate, and drive adoption of AI-enabled workflows that improve seller productivity , while maintaining responsible AI governance and usage. Establish measurement frameworks that connect enablement investments to busi

As a DevOps Engineer (GCP) at Particle41, you will play a crucial role in enhancing our software development and IT operations processes. The ideal candidate will have a strong background in both software development and IT operations, with a focus on automating and streamlining processes to achieve efficient and reliable software delivery for our customers. You will work closely with development and operations teams of our customers to build, deploy, and maintain critical systems, ensuring the reliability and scalability of the customers' infrastructure. Responsibilities: Collaboration and Communication: Work closely with software developers, system administrators, and other stakeholders to understand the requirements and objectives of projects. Collaborate on the design, implementation, and maintenance of continuous integration and delivery pipelines. Create and maintain comprehensive documentation for systems, processes, and configurations. Automation and Tooling: Design, implement, and manage automation processes for software build, deployment, and configuration. Evaluate, select, and implement tools and technologies to enhance the efficiency of the development and deployment processes. Infrastructure Management: Manage and maintain GCP infrastructure to ensure scalability, reliability, and security. Implement infrastructure as code (IaC) using tools such as Terraform, Deployment Manager, and others. Establish and maintain CI/CD pipelines to automate the software delivery process, including build, test, and deployment phases. Monitoring and Performance: Develop and implement monitoring solutions using Cloud Monitoring and Cloud Logging to ensure the health and performance of systems and applications. Proactively identify and address issues related to system performance, reliability, and scalability. Security and Compliance: Implement and maintain security best practices in infrastruct

As a DevOps Engineer (GCP) at Particle41, you will play a crucial role in enhancing our software development and IT operations processes. The ideal candidate will have a strong background in both software development and IT operations, with a focus on automating and streamlining processes to achieve efficient and reliable software delivery for our customers. You will work closely with development and operations teams of our customers to build, deploy, and maintain critical systems, ensuring the reliability and scalability of the customers' infrastructure. Responsibilities: Collaboration and Communication: Work closely with software developers, system administrators, and other stakeholders to understand the requirements and objectives of projects. Collaborate on the design, implementation, and maintenance of continuous integration and delivery pipelines. Create and maintain comprehensive documentation for systems, processes, and configurations. Automation and Tooling: Design, implement, and manage automation processes for software build, deployment, and configuration. Evaluate, select, and implement tools and technologies to enhance the efficiency of the development and deployment processes. Infrastructure Management: Manage and maintain GCP infrastructure to ensure scalability, reliability, and security. Implement infrastructure as code (IaC) using tools such as Terraform, Deployment Manager, and others. Establish and maintain CI/CD pipelines to automate the software delivery process, including build, test, and deployment phases. Monitoring and Performance: Develop and implement monitoring solutions using Cloud Monitoring and Cloud Logging to ensure the health and performance of systems and applications. Proactively identify and address issues related to system performance, reliability, and scalability. Security and Compliance: Implement and maintain security best practices in infrastruct

As a DevOps Engineer (GCP) at Particle41, you will play a crucial role in enhancing our software development and IT operations processes. The ideal candidate will have a strong background in both software development and IT operations, with a focus on automating and streamlining processes to achieve efficient and reliable software delivery for our customers. You will work closely with development and operations teams of our customers to build, deploy, and maintain critical systems, ensuring the reliability and scalability of the customers' infrastructure. Responsibilities: Collaboration and Communication: Work closely with software developers, system administrators, and other stakeholders to understand the requirements and objectives of projects. Collaborate on the design, implementation, and maintenance of continuous integration and delivery pipelines. Create and maintain comprehensive documentation for systems, processes, and configurations. Automation and Tooling: Design, implement, and manage automation processes for software build, deployment, and configuration. Evaluate, select, and implement tools and technologies to enhance the efficiency of the development and deployment processes. Infrastructure Management: Manage and maintain GCP infrastructure to ensure scalability, reliability, and security. Implement infrastructure as code (IaC) using tools such as Terraform, Deployment Manager, and others. Establish and maintain CI/CD pipelines to automate the software delivery process, including build, test, and deployment phases. Monitoring and Performance: Develop and implement monitoring solutions using Cloud Monitoring and Cloud Logging to ensure the health and performance of systems and applications. Proactively identify and address issues related to system performance, reliability, and scalability. Security and Compliance: Implement and maintain security best practices in infrastruct

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Our India Global Capability Center isn't just supporting global operations—we’re leading global innovation. After scaling rapidly into a best-in-class hub, we deliver the product innovation and enterprise capabilities that accelerate our global growth, profitability, and scale. As we expand Smartsheet India, we’re searching for Senior Software Engineers who crave variety and ownership. Whether your expertise is in front-end, back-end, test automation, ops, or infrastructure, you’ll have the opportunity to work across multiple teams and disciplines, building a versatile skillset while solving the complex challenges of a global platform. You Will: Work on all areas of the software from front end, back end, cloud infrastructure and test automation. Drive high standards within the team for all internal services and open source tooling/libraries we maintain. Deploy service and infrastructure changes frequently in a lean agile environment using full CI/CD. Contribute in all aspects of product development: idea generation, customer engagement, planning, design, prototyping, execution, shipping, and operational excellence. Collaborate with a team of passionate, engaged engineers, and with cross-functional teams that include product managers, UX designers, UX researchers, and more. Actively mentor more junior engineers, showing how to balance customer delivery while holding high coding, service, and cloud infrastructure standards. Apply different approaches to problem solving and help validate your ideas and those of

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft is looking for experienced, product-focused software engineers for our Driver Earnings Team. We are growing our team with people who want to build, improve, and incorporate technologies that enrich the lives of our community. As an engineer at Lyft, you'll collaborate with teams like product, data science, analytics, and operations on code that empowers us to iterate quickly while focusing on delighting our passengers and drivers. As a Software Engineer for Driver Earnings, you will lead multiple work streams that improve drivers' experience with rideshare. In addition, you will focus on incentivizing drivers to prefer Lyft, building differentiated pay products and features for the thing that drivers care the most about - their earnings. As an engineer on our team, you'll work hand in hand with various teams across Lyft, fostering collaboration and driving innovation to increase the adoption & usage of Lyft. Responsibilities: Partner with product managers, engineers, and operators to build driver earnings related infrastructure and products. Design and analyze experiments; communicate results and act on launch decisions Work with cross-functional partners in the Driver Experience and Marketplace so earnings related data is available and usable by the various systems that need this data. Work on tooling that makes it easier to make changes to driver earnings related configurations. Experience: Degree in Computer Science or Computer Engineering (advanced degrees preferred), or relevant work experience Proficiency in SQL - able to write structured and efficient queries on large data sets Experience in programming, especially in Python and/or Golang (preferred but not required) Strong oral and written communication skills, and ability to collaborate with and influence cross-functional partners B