Consumer Service Operations Representative Jobs

About the Team Our team turns OpenAI’s latest model capabilities into polished, trusted products for consumers and developers. We build the end-to-end experiences including product surfaces, platform layers, and developer workflows that make cutting-edge AI accessible, useful, and dependable at scale. OpenAI’s Financial Engineering (FinEng) team powers how revenue flows through our products - pricing and packaging, checkout, payments, subscriptions, and the financial infrastructure behind them. We partner closely with Engineering, Data Science, Risk, Finance, and Go-to-Market to make paying for OpenAI products seamless, reliable, and efficient worldwide. We pair rapid innovation with a rigorous approach to responsible deployment. Safety and trust are built into how we design, ship, and learn from real-world usage, so these tools deliver meaningful value while aligning with OpenAI’s mission. About the Role We are seeking an experienced Product Manager to scale the product efforts and technical strategy within our Financial Engineering team. The ideal candidate has prior experience in billing, finance, and accounting, ideally also building solutions for commercial users of varying sizes from small scale to enterprise. This role requires close collaboration with our product, finance, operations, and engineering teams. This position is based in San Francisco, CA. We utilize a hybrid work model with 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Develop a strategy and roadmap to efficiently scale the billing operations and customer experience behind OpenAI’s growing product portfolio Identify and execute opportunities to improve the order-to-cash processing for OpenAI’s largest and most strategic customers Build AI powered tooling for key partner teams such as Finance and User Operations to drive better decisions and business outcomes Collaborate with other product teams to defining OpenAI’s evolving monetization s

About Backblaze Backblaze provides reliable, high-availability cloud storage trusted by consumers, SMBs, enterprises, and developers in over 150 countries. Backblaze B2 Cloud Storage supports data-intensive workloads including backup, media, analytics, and modern AI pipelines. Our teams focus on building secure, durable, scalable systems with a strong emphasis on application security from day one and protecting customers to keep them safe. But while there is a lot to celebrate in our past, there is almost as much opportunity ahead of us. About the Role We are seeking an Application Security Engineer to improve application security across the software used to enable Backblaze B2 Cloud Storage and Computer Backup. The primary role is to build security into how the product is used, how data is stored and how customers can use it. This role will require development skills and application security knowledge to build security into the product and new features. Leveraging AI is key. This is a hands-on role that requires application development knowledge. This role is expected to know and use the latest AI to help with both development and security. The primary requirements include; development in common web languages, application security and AI tool usage. Leverage AI tools and software for Building new and maintaining existing software security features Meeting evolving software security needs in existing software Developing new components as needed Perform security assessments and code reviews on internal and external customer-facing applications Work closely with engineers to remediate security vulnerabilities using AI tools Develop security automation and tooling to improve security Support bug bounty program and vulnerability handling Investigate newly reported vulnerabilities Determine ways to remediate them Provide guidance to engineering based on known vulnerabilities found in existing applications Understanding cryptography and secure authentication Knowled

About the Team Our New Verticals Strategy & Operations team is re-inventing the way consumers think about grocery, convenience, alcohol and retail delivery through both our first-party and third-party operations businesses. DashMarts are our first-party offering designed to provide on-demand deliveries by selling household essentials, groceries, brand-name favorites, local favorites and so much more. The end to end DashMart experience is powered through DoorDash. Third-party partnerships enable us to offer on-demand deliveries from both SMB and enterprise merchants across grocery, convenience alcohol and retail storefronts. The merchants own the inventory, we fulfill and deliver them! Our Central Operations team is the heartbeat of the New Verticals Strategy & Operations team that enables us to power a robust logistic platform through a high-quality, speedy and efficient network - for both DashMarts and third party partners. About the Role We are expanding our Central Strategy & Operations with an Associate Manager to drive network-wide performance through advanced analytics, forecasting systems, and product-enabled operational design. This function will define how demand, labor, and inventory decisions are modeled and embedded directly into the systems that power DashMart execution. You will own forecast accuracy metrics end to end by diving deep into data, identifying root causes of variance, building systematic tools, and developing net-new forecasting approaches leveraging advanced analytics and AI tooling. Alongside forecasting, this person will support the broader labor planning process—helping to derive insights, set goals, and drive measurable business outcomes. This will include problem-solving through planning inefficiencies by developing insights and recommendations, setting goals and driving measurable outcomes. You will operate like a hybrid of data scientist and operator — translating insights into operational and product changes. We

About the Team Our New Verticals Strategy & Operations team is re-inventing the way consumers think about grocery, convenience, alcohol and retail delivery through both our first-party and third-party operations businesses. Our third-party operations business [internally known as 3P], enables both shopping and last mile delivery for third-party enterprise & SMB merchants we partner directly with. About the Role We are looking to hire a Manager for New Vertical Logistics, to own workstreams that will directly impact bottom line efficiency and the end-to-end dasher experience. You will own dasher efficiency metrics, build the strategy and execute to drive impact and hit your goals, and improve the Dasher experience to keep our fleet healthy. You will work directly with a wide range of cross-functional stakeholders across Finance, Product, Engineering, and Analytics. You will report to a Senior Manager within our Central Strategy & Operations team and manage a team of one. We operate in a hybrid model - you will spend some time in your home office, in person via offsites and testing your new products or features in 3P stores. You’re excited about this opportunity because you will… Build & Analyze. You’ll do whatever it takes to launch and ship new features to drive dasher efficiencies and improve the dasher experience — from writing complex SQL queries to drafting product requirements and supporting new feature launches. You’ll assess the operational and financial impacts of experiments, model tradeoffs, and iterate based on data. Scale. You’ll transform analytical insights into experiments that create measurable and scalable improvements in dasher efficiency. Experiment. You will identify variance drivers, develop hypotheses, and test model and product changes in partnership with Product, Engineering, and Analytics — including leveraging AI-enabled tools to uplevel the way we operate internally & externally. Collaborate. You’ll influence a cr

At Spotify, we are redefining the audiobook industry with our innovative Audiobooks in Premium model. Our mission is to empower creators and consumers by delivering the best audiobook content with unmatched quality and accessibility. We are building a thriving ecosystem that scales with creativity, collaboration, and innovative technology. We’re building Spotify’s audiobook business in Japan and looking for someone to lead our relationships with Japanese publishers. You’ll help build our publisher portfolio and secure a catalogue that resonates with listeners in Japan. After launch, you’ll keep owning and growing these partnerships so they deliver lasting value for Spotify and our publishing partners. What You Will Do Map the Japanese publishing and audiobook landscape and identify priority publishers, rights holders, and catalogue opportunities. Build a strong pipeline of major and independent publishers, and take partnerships from first conversation through negotiation, agreement, and onboarding. Lead commercial and licensing negotiations, including distribution terms and content licensing budgets, and design creative deal structures that improve economics and share risk. Identify and prioritize the audiobook catalogues and titles that matter most to listeners in Japan, using data, financial models, and market insights. Own long-term publisher relationships, aligning on shared goals and running regular performance reviews informed by data and partner feedback. Partner with operations and publishers on catalogue onboarding, metadata readiness, and smooth content delivery, resolving issues that affect partners or listeners. Represent publishing partners internally, working with product, editorial, growth, operations, and cost management teams on launch priorities and long-term improvements. Stay close to developments in the Japanese publishing and audiobook market and turn them

Become a part of our caring community Humana is looking for an experienced medical coding auditor to handle provider disputes in a result-oriented and metrics-driven environment. If you are looking to work from home, consider a Fortune 100 company that prioritizes its consumers' and staff's well-being. This company rewards performance, and you should strongly consider the Outpatient Medical Coding Auditor position. This role focuses on Outpatient Behavioral Health Coding disputes and is part of the PPI Coding Disputes Team with Humana. The Outpatient Behavioral Health Coding Auditor on the Disputes Team reports to the Manager. This role consults and collaborates with coding professionals within and across departments. The goal is to ensure high accountability of coding disputes outcomes for timeliness, compliance, and quality. Will be an experienced medical coding auditor with in-depth experience in outpatient Behavioral Health coding disputes and expertise in CPT/HCPCS code assignments Ensures overall accuracy and compliance of coding disputes reviews by adhering to all appropriate coding guidelines and communicates disputes outcomes to providers in a professional and concise manner. Leverages advanced auditing expertise to make coding decisions based on standard industry guidelines and best practices Manages multiple priorities, collaborates with peers and ensures timely completion of outpatient coding disputes Humana offers a variety of benefits to promote the best health and well-being of our employees and their families. We design competitive and flexible packages to give our employees a sense of financial security—both today and in the future, including: Health benefits effective day 1 Paid time off, holidays, volunteer time and jury duty pay Recognition pay 401(k) retirement savings plan

DoorDash is building the world's most reliable on-demand, logistics engine for delivery! We're looking for talented engineers to help us develop a 24x7, global infrastructure system that powers DoorDash's three-sided marketplace of consumers, merchants, and dashers. About the Team Data Platform’s Data User Experience Engineering builds the products every DoorDash employee uses to answer questions with data. That portfolio includes our AI first reporting and authoring surface,Conversational analytics with AI, Semantic and Knowledge layer along with MCP and skills layer plus the full stack infrastructure that lets users and agents reach all of it. Our users span analysts, engineers, operators, and executives across DoorDash, Wolt, and Deliveroo, on a warehouse and OLAP footprint that includes Snowflake,Spark and Clickhouse. The team is a mix of engineers who have built AI & Data platforms and products at scale. About the Role You will own the full path from a question to an answer an operator can put in a deck without checking it twice. The BI reporting surfaces are converging, and deciding what that convergence looks like while someone is authoring, building a report, writing a query, asking why a number moved, or asking for the chart they were about to build by hand. You’re excited about this opportunity because you will… Ship agentic analytics features to thousands of users where a wrong number is a real business decision made badly, and accuracy is the product Build a data platform for authoring, dashboard runtime, drill-down and cross-filter semantics, scheduling and alerting, content certification and permissions, and the embedding path that puts the same components in front of external users Streaming large result sets to the browser, rendering dozens of interdependent tiles. Build the AI experience inside that platform: agent-assisted query authoring, generated charts and widgets held to the same governance as hand-built ones Evolve the semantic laye

We're Tibber - the energy company that wants you to use less energy. When you join Tibber, you'll be part of building the tech that creates a real shift in how people consume electricity - good for our users, their wallets and the planet. We believe AI is how we accelerate that shift, and it's our people who lead it. The more we lean into AI, the more human judgment, curiosity and creativity matter. We’re looking for a Data Engineer to join us in making the energy transition happen – maybe that’s you? Job Mission 🚀 In the Data team at Tibber, you’ll be a vital part of Tibber’s mission to empower the clever, using data and technology to make it easier for our customers to make smarter energy choices. We’re already well ahead with agentic analytics. Our AI agents have answered thousands of questions from colleagues, with grounded answers built on our certified data. We also deliver analytical insights straight to our customers. As a Data Engineer , you’ll take this further. You’ll shape how Tibber’s analytical data is modelled, governed and delivered so that employees, internal agents and customers can all trust the answers they get. What you'll do ✅ Build agentic framework for data analysis that let colleagues ask questions in plain language and get correct, well-grounded answers. Serve analytical data to employees internal agents and external customers through well-defined interfaces (semantic layers, APIs and MCP servers), with the right access controls in place. Build and maintain scalable, robust, and efficient data pipelines in a modern cloud environment, ensuring our platform reliably supports growing data demands. Design and develop data ingestion and processing frameworks that streamline the flow of information, delivering timely and accurate data to power insights. Own and evolve the infrastructure behind our data platform, leveraging emerging technologies to bolster stability, performance, and cost-effectiveness. Lean in and take ownership beyond what’s as

We're Tibber - the energy company that wants you to use less energy. When you join Tibber, you'll be part of building the tech that creates a real shift in how people consume electricity - good for our users, their wallets and the planet. We believe AI is how we accelerate that shift, and it's our people who lead it. The more we lean into AI, the more human judgment, curiosity and creativity matter. We're looking for a Senior Product Lead to join us – maybe that's you? Job Mission 🚀 As a Senior Product Lead, you'll play a key role in making our entry offers & plans, the first choice for homeowners switching energy supplier. You'll own the offer across Sweden, Norway, Germany and the Netherlands: what it is, who it's for, why it wins and how it makes money. Leading work across product managers in several capabilities, you'll turn our entry offering into plans that win in the market, and grow customers into premium plans, directly or through electrification. What you'll do ✅ Build a clear view of which homeowners choose our entry offers and why they switch, by market and channel. Make it the basis for segmenting, targeting and pricing. Set strategy and roadmap for entry offers & plans across four markets and every distribution channel. Shape the winning offer for each channel: its components, target customer, value proposition and how we win. Own the pricing guardrails , so Sales has clear guardrails for setting final market prices. Set go-to-market direction, and build and coordinate product launches together with Commercial. Track performance against clear success metrics, then evolve, reprice or retire offers based on evidence. Anchor the roadmap with the commercial teams, our other offerings product leads & capability owners and lead the work across the product managers who build it. What we're looking for⚡ You are driven by impact and know how to turn strategy into execution. You're used to fast-paced environments and thrive when given clear goals and high accou

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 Ads gives brands a unique way to reach consumers during high-intent moments: on their way to concerts, games, nights out, and everyday destinations. In this role, you'll set the strategy behind how we bring those moments to market, arm our sellers to win, and connect advertisers with millions of riders across the country. Lyft Ads is looking for a Senior Manager of Sales Packaging & Go-to-Market Strategy to build and lead the function that turns ridership data, cultural moments, and product capabilities into the packages our sales team sells every day. This is a strategic leadership role: you'll set the packaging and pricing agenda for the full Lyft Ads portfolio, build the go-to-market motions behind our biggest revenue moments, and give sellers the stories, structure, and pricing tools they need to win. You are a builder. You operate comfortably at the intersection of strategy and execution, and you have a track record of driving commercial outcomes in ambiguous, fast-moving environments. You bring a POV to partnership and packaging conversations, and you know how to align internal and external stakeholders around a shared vision. You are energized by the challenge of taking a scaled, high-growth advertising business and making it even better: more differentiated, more efficient, and more impactful for the brands and agencies that invest with Lyft Ads. You'll operate at the intersection of data, product, pricing, creative, and sales, and you'll be expected to bring an independent point of view on where Lyft Ads should show up, what we should charge, and how we package multi-product solutions with measurement built in. This role owns and manages the Lyft Ads Studio team, sits at the table with Sales leadership, and works in close partnership with Data Science, Finance, Product Marketing, Pr

Here’s a summary of the role: Are you a Technical Writer or Content Engineer who enjoys working at the intersection of documentation, technology, automation, and AI? In this role, you’ll shape how complex SaaS product knowledge is created, structured, published, and consumed by both people and AI systems. You’ll own documentation strategy across key product areas while working closely with Product, Engineering, Design, Support, Customer Success, and other teams. You’ll bring experience in technical writing, docs-as-code, content architecture, structured authoring, CI/CD, content automation, LLMs, RAG, and AI-assisted workflows to build documentation that is accurate, discoverable, reusable, and ready for the next generation of AI-powered experiences. Here’s a breakdown of what you’ll do (not all of it, just the important stuff): Lead documentation strategy and execution across assigned SaaS product areas, ensuring content is clear, accurate, consistent, and customer-focused. Define and improve information architecture, content models, structured content, and documentation standards to make knowledge scalable and reusable. Build and maintain AI-ready content, including agent instructions, prompt libraries, reusable skills, and workflows that help AI systems find and use product knowledge effectively. Partner with Product, Engineering, Design, Support, Customer Success, Training, Implementation, and Marketing teams to embed documentation into the product development lifecycle. Build and improve automated documentation workflows covering content testing, validation, publishing, deployment, and quality assurance. Use customer feedback, analytics, and content performance data to continuously improve documentation quality, findability, freshness, and overall customer experience. These are the essentials you’ll need to get an interview: 7–10 years’ experience in technical writing, content engineering, or product documentation, ideally within a complex software/SaaS environ

About the Team The Integrity team is seeking a Strategy & Operations Senior Associate to help reduce fraud costs and drive solutions that safeguard the integrity of our platform. In this role, you’ll develop a deep understanding of our three core audiences—Consumers, Dashers, and Merchants—and become a key resource for analyzing behaviors that may indicate risky or abusive patterns. You’ll lead investigations into high-risk activity, design data-informed strategies, and implement cross-functional initiatives to mitigate losses while maintaining a seamless and trusted user experience. Most importantly, you’ll help strike the right balance between user trust and risk management, ensuring we continue to support growth while protecting the platform. About the Role Our best Senior Associates are data-driven, truth seeking, strategic thought partners and operators. They combine business context and analytics to take on a problem area and implement a customized solution. Think this is you? Read on… You're excited about this opportunity because you will… Establish and refine DoorDash's strategic approach to payments, credit and refund risks - work on the operations, engineering, and analytics needed to protect DoorDash’s audiences from bad actors Analyze user behavior across DoorDash's platform – complete end-to-end analysis that allows us to better identify the bad actors and improve the experience of good users Influence and engage across the company - partner with the product, engineering, and analytics teams to establish goals and build strategic programs Improve through experimentation – use data-driven decision-making to run tests in order to reduce risk while accelerating growth We're excited about you because… 2+ years of experience in consulting, strategy, business development, operations, technology, investment banking, analytics or related experience Experience leading projects, hitting goals, and succeeding in a team environment Strong communicat

About the Team DoorDash is building the world’s most reliable on-demand logistics engine for delivery! We’re looking for machine learning engineer interns to join our fast-growing engineering team to help us develop a 24x7 global infrastructure system that powers DoorDash’s three-sided marketplace of consumers, merchants, and dashers. About the Role As a Machine Learning Engineer intern at Doordash, you’ll work on tackling new challenges in machine learning and artificial intelligence. You’ll conduct research that can be applied across Doordash engineering teams and engage in external collaborations and mentoring, while also performing research in any of the following areas: Auction, Game theory, Recommender systems, Ranking, AdTech, Computer Vision, Causal Inference, and Big data analytics. We offer a 12-week summer internship program in our San Francisco, Sunnyvale, New York, or Seattle offices. You’re excited about this opportunity because you will… Use cutting-edge research in ML/AI, NLP, RecSys, Ranking, Computer Vision, Causal Inference, Ad Tech, Graph analysis to solve real-world problems across discovery, ads,forecasting, fulfillment and search experiences at Doordash. Contribute and execute on research ideas that can be applied and used to improve product experience at Doordash. Collect, analyze, and synthesize findings from data and use these insights to build relevant ML models. Write clean, efficient, and sustainable code We’re excited about you because you… Are working towards a PhD degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field and are graduating between Fall 2027 & Summer 2028 Have a mastery of at least one systems languages (Java, C++, Python, Kotlin, GoLang) or one ML framework (Tensorflow, Pytorch, MLFlow) Have experience in research and in solving analytical problems Are a strong communicator and team player. Have a passion for applied ML and the Doordash product Ideally have work

Accounting Manager Remote – United States | Brooklyn, NY or Burlington, VT About the Role EnergyHub empowers utilities and their customers to build a cleaner, more distributed energy future — helping consumers turn smart thermostats, EVs, and batteries into virtual power plants that keep the grid stable and expand renewable capacity. We're looking for an Accounting Manager to join a growing Finance team at a pivotal moment in EnergyHub's evolution. This is a role for a technically rigorous accountant who brings precision and depth to everything they touch — someone who is energized by complexity and holds the work to an uncompromising standard. You'll own the month-end close end-to-end, serve as the technical anchor of the accounting function, and have genuine influence over how our processes and reporting evolve. You'll work within a structure set by our parent company, Alarm.com (Nasdaq: ALRM), while building something that truly serves EnergyHub. If you're passionate about technical accounting, ready to take real ownership, and want your work to matter beyond the close, this role was written for you. What You'll Do Own EnergyHub's month-end and quarter-end close — journal entries, account reconciliations, and supporting schedules prepared with accuracy and on time, within the broader schedule set by Alarm.com corporate accounting Evaluate and redesign the close process from the ground up, building scalable, repeatable workflows and the documentation and controls to support them Serve as the escalation point for complex or judgmental accounting matters, including revenue recognition under ASC 606 Partner with Alarm.com corporate accounting as EnergyHub's primary close liaison — meeting their standards for accuracy, documentation, and deadlines while translating requirements back to the EnergyHub team in a way that supports rather than impedes the business Partner with EnergyHub's internal teams — operations, customer success, FP&A — to provide the accounting g

About the Team DoorDash is building the world’s most reliable on-demand logistics engine for delivery! We’re looking for machine learning engineer interns to join our fast-growing engineering team to help us develop a 24x7 global infrastructure system that powers DoorDash’s three-sided marketplace of consumers, merchants, and dashers. About the Role As a Machine Learning Engineer intern at Doordash, you’ll work on tackling new challenges in machine learning and artificial intelligence. You’ll conduct research that can be applied across Doordash engineering teams and engage in external collaborations and mentoring, while also performing research in any of the following areas: Auction, Game theory, Recommender systems, Ranking, AdTech, Computer Vision, Causal Inference, and Big data analytics. We offer a 12-week summer internship program in our San Francisco, Sunnyvale, New York, or Seattle offices. You’re excited about this opportunity because you will… Use cutting-edge research in ML/AI, NLP, RecSys, Ranking, Computer Vision, Causal Inference, Ad Tech, Graph analysis to solve real-world problems across discovery, ads,forecasting, fulfillment and search experiences at Doordash. Contribute and execute on research ideas that can be applied and used to improve product experience at Doordash. Collect, analyze, and synthesize findings from data and use these insights to build relevant ML models. Write clean, efficient, and sustainable code We’re excited about you because you… Are working towards a Masters degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field and are graduating between Fall 2027 & Summer 2028 Have a mastery of at least one systems languages (Java, C++, Python, Kotlin, GoLang) or one ML framework (Tensorflow, Pytorch, MLFlow) Have experience in research and in solving analytical problems Are a strong communicator and team player. Have a passion for applied ML and the Doordash product Ideally have