Consumer Operations Jobs

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

About the Team: About the Team: Our team brings OpenAI’s most capable technology to the world through our products. We've released ChatGPT, GPT6-Astra, and Codex. We empower consumers and developers alike to use and access our state-of-the-art AI models, allowing them to do things that they’ve never been able to before. Across OpenAI’s enterprise product suite, it is critical to offer organizations the technology to securely establish, connect, and manage people and non-human identities across OpenAI products. The Enterprise Identity team builds shared identity foundations and enterprise controls for authentication and federation, provisioning and lifecycle, secure access, session management and revocation, administration, auditability, and access visibility so identity and access can be governed consistently across products. We build the foundational systems that enable organizations to adopt OpenAI products with confidence.. Our work underpins enterprise security, IT integration, and the safe deployment of AI at scale, making sure the right people have the right access at the right time. About the Role: We’re looking for an experienced Product Manager for OpenAI’s Enterprise Identity product efforts. You will lead efforts to deliver critical capabilities such as SSO, SCIM, and identity federation across all OpenAI products, enabling enterprises to securely manage users, data, and access in complex organizational environments. This role requires close collaboration with engineering, security, GTM, and customer-facing teams to ensure our identity systems meet the needs of organizations ranging from high-growth startups to the world’s largest enterprises. Your work will directly enable safe, large-scale enterprise adoption of frontier AI. This position is based in San Francisco, CA, with relocation assistance available. In this role, you will: Define the strategy and execute the roadmap for enterprise identity, spanning SSO, SCIM, and advanced admin controls. Partner

About Paytm Paytm is India's leading mobile payments and financial services distribution company. A pioneer in the mobile QR payments revolution, Paytm builds innovative technology solutions that empower merchants and consumers alike. Our mission is to bring half a billion Indians into the mainstream economy through payments, commerce, banking, investments, and financial services. About the Role We are looking for an experienced Growth professional (DGM/GM) to own customer acquisition, activation and usage for our Lending EMI business. The incumbent will drive the strategy and execution behind how customers discover, check their eligibility for, and activate Paytm EMI — spanning proactive outreach to pre-scored segments, always-on in-app/in-store eligibility checks, and in-the-moment discovery at the point of purchase. The role requires close partnership with Business Product, App Product, Risk, Risk Analytics, Brand Alliance, and Marketing teams to convert Paytm's existing user base — including Postpaid and other lending cohorts, and customers who already use Paytm's free credit report — into active, repeat EMI users, while keeping growth targets aligned with underwriting and portfolio quality constraints. About the Team The Growth team for Lending EMI owns the full top-of-funnel, activation charter and usage matrices: sizing and prioritizing the addressable base, running outbound and in-product campaigns, and measuring and improving conversion across every discovery channel — proactive whitelist outreach, standalone self- check, contextual at-purchase discovery, and merchant-assisted discovery. Key Responsibilities ● Own the GTM strategy and sequencing across customer segments (existing loan products/lending cohorts, the CIR base, internal usage patterns, new-to-credit customers) and merchant/category segments. ● Drive the proactive outreach ("Signup") program end to end: whitelist targeting, campaign design across push/SMS/email/in-app, frequency and consent m

About Us: Paytm is India’s leading mobile payments and financial services distribution company. A pioneer of the mobile QR payments revolution, Paytm builds technology that enables small businesses and consumers to participate in the digital economy. Our mission is to serve half a billion Indians and bring them into the mainstream economy through technology. About the Role: We are looking for a strategic and data-driven Growth leader to own and scale growth for the Paytm for Business app. The role will be responsible for driving activation, engagement, retention and winback, with a strong focus on improving service-led product journeys and building a scalable growth engine. The ideal candidate will combine strong product and growth thinking with deep expertise in analytics, experimentation and lifecycle marketing. This is a high-ownership role that will work closely with Product, Engineering, Data, Marketing and Business teams to identify growth opportunities, design interventions and drive measurable outcomes at scale. Key Responsibilities: - Own the growth charter for the Paytm for Business app, covering activation, engagement, retention and win back. - Identify opportunities across key service product journeys and build strategies to improve user adoption, usage and retention. - Build a data-led growth engine using user analytics, cohort analysis, funnel metrics and behavioral insights. - Drive a strong culture of experimentation and rapid iteration, including hypothesis creation, A/B testing and measurement of business impact. - Own and scale lifecycle marketing / CLM initiatives across user segments and stages of the customer journey. - Leverage AI and Agentic capabilities to automate growth workflows, personalization, customer lifecycle management and decision-making. - Define and track growth KPIs, identify gaps and translate insights into actionable product and business initiatives. - Work cross-functionally with Product, Engineering, Data Science, Ma

Join the engineering teams that bring OpenAI’s ideas safely to the world! The Applied Engineering team works across research, engineering, product, and design to bring OpenAI’s technology to consumers and businesses. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth. About the Role As OpenAI continues to grow, we are looking for experienced, problem-solving engineers to ensure our systems scale. Our success depends on our ability to quickly iterate on products while also ensuring that they are performant and reliable. You will work in a deeply iterative, collaborative, fast-paced environment to bring our technology to millions of users around the world, and ensure it’s delivered with safety and reliability in mind. Successful candidates will play a crucial role in ensuring the reliability, scalability, and performance of our systems as we continue to expand. As a reliability expert, you will be at the forefront of maintaining and enhancing the stability, scalability, and performance of our rapidly evolving infrastructure. You will work closely with cross-functional teams, including software engineers, product managers, and data scientists, to build and maintain resilient systems that can handle our growing user base and workload. In this role, you will: Design and implement solutions to ensure the scalability of our infrastructure to meet rapidly increasing demands. Build and maintain the load, chaos and synthetic-testing software leveraged by development teams to make the systems they design and operate more reliable. Build and maintain automation tools to streamline repetitive tasks and improve system reliability. Build and maintain the platform for CPU, storage, GPU, and network lifecycle management to drive efficiency, accountability and dynamic optimization of our resources. Implement fault-tolerant and resilient design

Purpose To ensure accurate, timely, transparent, and regulatory compliant billing for all categories of consumers. This ensures revenue assurance, customer satisfaction, and financial sustainability of the distribution utility. Objective “Ensure financial integrity, regulatory compliance, and customer satisfaction by delivering accurate, timely, and transparent billing for all electricity consumers.” Source: Adani Group | Job ID: 47363

• Customer Billing and Invoicing: Ensuring accurate and timely invoicing, including managing invoice discrepancies and adjustments • Billing and Invoicing for HT, LT and temporary illumination consumers, making refunds with appropriate checks • Prepare 26AS Reconciliations and maintain • Collections & Refunds: Managing the collection of payments, including coordination with internal & external stakeholders, addressing payment issues, handling payment disputes and processing refunds • Cash Application: Applying payments to specific invoices, ensuring accurate cash (all collection mediums) reconciliation, and resolving unapplied cash • Process Improvement: Identifying areas for improvement in the O2C process, implementing best practices, and streamlining workflows • MIS and Data Analysis: Analyzing key performance indicators (KPIs) related to O2C processes, such as Open BRS entries, Debtors Aging etc and prepare MIS Source: Adani Group | Job ID: 51915

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Get to know the team The Developer Platform team at Auth0 (an Okta company) owns the platform that developers build identity on. Increasingly they build alongside AI agents, and that raises the bar on everything underneath: interfaces have to hold up whether a person or an agent is calling them, and the systems behind them have to stay reliable and coherent as usage grows. We move fast, we own problems end to end, and we care deeply about the platform we put in front of the developers and agents who depend on it. The opportunity We're hiring a Principal Engineer (P5) to serve as the technical leader and compass for the Developer Platform team. You'll work across the breadth of the platform, tackling the highly complex, vaguely specified problems that span it and turning them into clear technical direction the team can execute against, without day-to-day oversight. Above all, you'll own how the platform is architected to scale: the distributed systems behind it, the reliability and consistency guarantees developers depend on, and the coherence that keeps it easy to build on as usage grows. You'll champion the team's technical execution, raise the engineering bar, mentor the people around you, and partner with tech leads across teams to keep the wider platform aligned. You'll have real influence over how our platform holds up in a world where developers and agents are both first-class consumers. What you'll be doing Own the platform architecture: Set the tech

About the Team Netlify runs on usage. Developers buy credits, teams consume compute and bandwidth, and enterprises commit to spend. The Accounts and Billing area owns how all of that works: the accounts foundation every customer signs into, the billing platform that meters and charges them, and the pricing and packaging model that sets what they pay. It sits at the center of how Netlify grows, and it touches Finance, Growth, UX, Sales, and the executive team. As a Staff Product Manager, you’ll help define and evolve Netlify’s monetization model, bringing a strong point of view while partnering across the company to make high-impact decisions, and you will build hands-on next to engineering, Finance, and design rather than run a team from above. You’ll collaborate closely with senior leaders, including the CEO and CFO, as we continue to evolve Netlify’s pricing and packaging strategy. What You'll Do Lead the strategy and evolution of pricing, packaging, and monetization, including plans and tiers, the credit and usage model, seat-versus-consumption economics, on-demand and overage rates, enterprise commitments and discounting, storage pricing, regional pricing, and annual plans. Ship billing as a product: metering accuracy, invoicing, payments, refunds, and customer-facing usage visibility, including the billing and usage interfaces enterprises are asking for. Steward the accounts foundation: sign-up and authentication, identity, orgs and teams and seats, roles and permissions, account security, and fraud and abuse at the top of the funnel. Build and lead the pricing and packaging experimentation program, using data, customer insight, and sound judgment to guide decisions: product analytics, conversion and activation, and credit-consumption telemetry. Partner with Finance to develop pricing approaches that balance customer value, business goals, and long-term sustainability. Partner with engineering and cross-functional stakeholders to set priorities, evaluate tradeo

Team description At Datadog, AI agents are becoming first-class consumers of observability, security, and software delivery data — from third-party coding agents like Claude Code, Cursor, and Copilot, to our own Bits SRE, Bits Assistant, and Bits Dev Agent. The Agentic Interfaces team owns the platform that connects these agents to Datadog: the MCP Server, the tools and retrieval surfaces agents call into, and — critically — the evaluation systems that tell us whether an agent's experience on Datadog data is actually getting better over time. This role is about that last piece. We're hiring a Staff Applied Scientist to define what "good" means for an Agentic interface at Datadog and to build the measurement systems that make it true. "Good" isn't one number — it spans answer quality, tool-selection accuracy, retrieval relevance, latency, token cost, and end-to-end agent success on real customer workflows. You'll design the evals, build the datasets, define the metrics, and partner with the AI engineers on the team to land the platform that lets every product group at Datadog ship integrations that are demonstrably better release over release. The space is full of open research questions. How do you evaluate an agent end-to-end when the trajectory is non-deterministic? How do you score tool selection when the tool catalog has hundreds of entries and grows weekly? How do you build a measurement system that catches regressions across first-party and third-party agents at once, without each team writing their own harness? If those are the problems you want to spend your time on, come build this with us. Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. What You’ll Do: Own the evaluation strategy for Datadog's AI agent integrations. Define the metrics — offline and online, quali

About Us: Paytm is India’s leading mobile payments and financial services distribution company. A pioneer of the mobile QR payments revolution, Paytm builds technology that enables small businesses and consumers to participate in the digital economy. Our mission is to serve half a billion Indians and bring them into the mainstream economy through technology. About the Role: We are looking for a strategic and data-driven Growth leader to own and scale growth for the Paytm for Business app. The role will be responsible for driving activation, engagement, retention and winback, with a strong focus on improving service-led product journeys and building a scalable growth engine. The ideal candidate will combine strong product and growth thinking with deep expertise in analytics, experimentation and lifecycle marketing. This is a high-ownership role that will work closely with Product, Engineering, Data, Marketing and Business teams to identify growth opportunities, design interventions and drive measurable outcomes at scale. Key Responsibilities: - Own the growth charter for the Paytm for Business app, covering activation, engagement, retention and win back. - Identify opportunities across key service product journeys and build strategies to improve user adoption, usage and retention. - Build a data-led growth engine using user analytics, cohort analysis, funnel metrics and behavioral insights. - Drive a strong culture of experimentation and rapid iteration, including hypothesis creation, A/B testing and measurement of business impact. - Own and scale lifecycle marketing / CLM initiatives across user segments and stages of the customer journey. - Leverage AI and Agentic capabilities to automate growth workflows, personalization, customer lifecycle management and decision-making. - Define and track growth KPIs, identify gaps and translate insights into actionable product and business initiatives. - Work cross-functionally with Product, Engineering, Data Science, Ma

Join the engineering teams that bring OpenAI’s ideas safely to the world!! The Applied Engineering team works across research, engineering, product, and design to bring OpenAI’s technology to consumers and businesses. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth. About the Role We’re building the observability product for OpenAI—from scalable infrastructure to a rich, AI-powered UI. Our systems ingest over petabytes of logs and billions of time series metrics across our fleet. We're now layering intelligence on top—think agents that summarize SEVs, auto-generate dashboards, or help engineers debug through notebook-like UIs. We’re hiring software engineers across the stack—infra, backend, and product. You’ll join a small, gritty team building both foundational infra and novel internal tools to make OpenAI's production systems reliable, performant, and observable. What You’ll Do Own core observability infrastructure, including distributed logging, time series, and trace storage Build AI-native tools that help engineers detect, understand, and resolve issues autonomously. Contribute to UI experiences like dashboards, notebooking, or interactive debugging Collaborate closely with engineers, researchers, user ops, and other teams across the company to build the next generation observability product You Might Be a Fit If You: Have operated large-scale distributed systems in production. ( especially logging systems or some other time series databases) Thrive in ambiguous environments and roll up your sleeves to solve unscoped problems. Have full-stack chops or product sensibilities—you're excited to build real tools people use. Have strong fundamentals in systems, networking, and cloud infra (Kubernetes, AWS, etc). Bonus : built or contributed to observability systems (e.g. Prometheus, OpenTelemetry, etc). Why This Team We’re b

About the team The Applied team works across research, engineering, product, and design to bring OpenAI’s technology to consumers and businesses. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth. About the role: We're seeking a Data Engineer to take the lead in building our data pipelines and core tables for OpenAI. These pipelines are crucial for powering analyses, safety systems that guide business decisions, product growth, and prevent bad actors. If you're passionate about working with data and are eager to create solutions with significant impact, we'd love to hear from you. This role also provides the opportunity to collaborate closely with the researchers behind ChatGPT and help them train new models to deliver to users. As we continue our rapid growth, we value data-driven insights, and your contributions will play a pivotal role in our trajectory. Join us in shaping the future of OpenAI! In this role, you will: Design, build and manage our data pipelines, ensuring all user event data is seamlessly integrated into our data warehouse. Develop canonical datasets to track key product metrics including user growth, engagement, and revenue. Work collaboratively with various teams, including, Infrastructure, Data Science, Product, Marketing, Finance, and Research to understand their data needs and provide solutions. Implement robust and fault-tolerant systems for data ingestion and processing. Participate in data architecture and engineering decisions, bringing your strong experience and knowledge to bear. Ensure the security, integrity, and compliance of data according to industry and company standards. You might thrive in this role if you: Have 3+ years of experience as a data engineer and 8+ years of any software engineering experience(including data engineering). Proficiency in at least one programming language commonl

About the Team Join the engineering teams that bring OpenAI’s ideas safely to the world! The Applied Engineering team works across research, engineering, product, and design to bring OpenAI’s technology to consumers and businesses. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth. About the Role We’re seeking Software Engineers who can solve complex, high-impact problems across our stack. In this role, you’ll join a nimble team driving the deployment of OpenAI’s technology into new environments and infrastructure that power critical missions in the public sector. You’ll work cross-functionally with product, security, and compliance teams to build the functionality needed to deliver a scalable, reliable platform. You’ll also partner directly with customers to design and build new products and features that create real-world impact. From launching net-new capabilities to optimizing how we serve inference in unique, high-stakes environments, this role offers both breadth and technical depth—giving you the opportunity to shape the future of OpenAI’s technology where it matters most. This role is based in Washington D.C., San Francisco, CA or Seattle, WA. Occasional travel to customer sites is required for this role. In this role, you will: Own the development of new customer-facing ChatGPT and OpenAI API features end-to-end, both on-premises and in the cloud, for our public sector customers. Partner and directly embed with teams across the business, including engineering, security, and compliance, to enable our products to work within the unique constraints of new environments. Talk to users to understand their problems and design solutions to address them Work with the research team to get relevant feedback and iterate on their latest models, developing solutions specific for public sector customers at both the model & data

About the Team Our Inference team brings OpenAI’s most capable research and technology to the world through our products. We empower consumers, enterprise and developers alike to use and access our start-of-the-art AI models, allowing them to do things that they’ve never been able to before. We focus on performant and efficient model inference, as well as accelerating research progression via model inference. About the Role We are looking for an engineer who wants to take the world's largest and most capable AI models and optimize them for use in a high-volume, low-latency, and high-availability production and research environment. In this role, you will: Work alongside machine learning researchers, engineers, and product managers to bring our latest technologies into production. Work alongside researchers to enable advanced research through awesome engineering. Introduce new techniques, tools, and architecture that improve the performance, latency, throughput, and efficiency of our model inference stack. Build tools to give us visibility into our bottlenecks and sources of instability and then design and implement solutions to address the highest priority issues. Optimize our code and fleet of Azure VMs to utilize every FLOP and every GB of GPU RAM of our hardware. You might thrive in this role if you: Have an understanding of modern ML architectures and an intuition for how to optimize their performance, particularly for inference. Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done. Have at least 5 years of professional software engineering experience. Have or can quickly gain familiarity with PyTorch, NVidia GPUs and the software stacks that optimize them (e.g. NCCL, CUDA), as well as HPC technologies such as InfiniBand, MPI, NVLink, etc. Have experience architecting, building, observing, and debugging production distributed systems. Bonus point if worked on performance-critical distributed systems. Have need