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Tech Operations Associate Jobs

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Explore current tech operations associate jobs. Use filters to narrow by work mode, employment type, experience and date posted.

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1mo ago

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. Stripe was built with simplicity in mind. We strive to deliver frictionless experiences for all of our users, whether they are an Independent Business, Startup, SMB, or Enterprise, and our mission is to provide all Stripe Users with the best support experience possible. Today, Stripe handles over a million support cases per year and processes millions of internal transactions. We're going to achieve excellence by thinking of support in a novel, solution-oriented way, and viewing operations as an integral enabler of all of Stripe's growth. About the team At Stripe, our Mexico City office is a vibrant hub at the forefront of our mission to reshape the financial landscape for businesses worldwide. Our team prioritizes collaboration, innovation, and excellence. As a member of the Mexico City team, you'll be part of a mission-driven community dedicated to enhancing the global economy and increasing the GDP of the internet. We strive for excellence by creating with craft and beauty, while having fun and celebrating our successes together. We cultivate a culture of collaboration, inclusivity, and support where every team member's voice matters. Our commitment shines through as we handle over a million support cases each year, empowering our users not just to solve problems but to achieve their goals. What you'll do Responsibilities Troubleshoot and solve complex problems Analyze our processes and instigate changes to help scale our operations and improve user exp

pythonsqlai
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Datadog
📍 New York• Full-time• From $80K/yr
1mo ago

The GTM Strategy & Operations Associate will join a global team driving Datadog’s next phase of growth. We’re interdisciplinary thinkers leveraging diverse business backgrounds in tech, management consulting, investment banking and business development to accelerate Datadog’s global growth. We work directly with Datadog’s most senior leaders to set corporate strategy, improve efficiency across the business, support data-driven decision-making, own complex operations, and more. In this role, you will identify opportunities for revenue growth and design strategic go-to-market (GTM) initiatives by evaluating business tradeoffs and partnering with senior leaders to shape GTM strategy. You will drive key planning processes, including capacity planning and quota planning, optimization and expansion strategies, and KPI design and measurement. Additionally, you will lead critical operational initiatives and long-term strategic projects that improve execution and help build the foundation for the company's continued growth. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What you’ll do: Strategic roadmap development: Develop short- and long-term GTM strategies by identifying growth opportunities, setting business priorities, and aligning sales and growth targets. Lead strategic planning initiatives, including headcount and KPI planning, incentive design, and cross-functional projects to improve execution and accelerate revenue growth. Global quota ownership: Own quotas for the global Sales organization – build and maintain quota models, adjust them throughout the year in response to org changes, and drive stakeholder alignment along the way. GTM analysis, reporting, and modeling: Analyze sales and GTM data to identify trends and understand efficiency by channel. Develop data

pythonsqlai
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About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. At Wolt, we build technology that connects people with the best of their city — from restaurants and grocery stores to local retail — delivered quickly and reliably to their door. Behind this seamless experience is a carefully managed delivery network operating across 23 countries and 165 cities, powered by tens of thousands of partners. As we continue to grow, ensuring operational excellence and compliance across our fleet ecosystem is more important than ever — and that’s where you come in. Our apps (iOS and Android) have some of the highest ratings in the industry, driven by our customer-centric approach to product and operations. For example, our customer service team responds within seconds, in the customer’s own language — because quality and trust are at the core of everything we do. What you’ll be doing As the Operations Associate, Fleet Compliance, you’ll play a key role in safeguarding the integrity, safety, and compliance of our delivery network. You’ll work closely with fleet partners to ensure adherence to local regulations, contractual obligations, and internal standards. This is an excellent opportunity to build a strong foundation in compliance, operations, and business within a fast-growing, tech-driven company. Day-to-day in this role you’l

Excelrecruitmentcustomer service
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Datadog
📍 New York• Full-time• From $100K/yr
1mo ago

The GTM Strategy & Operations Associate will join a global team driving Datadog’s next phase of growth. We’re interdisciplinary thinkers leveraging diverse business backgrounds in management consulting, investment banking, business development, and tech to accelerate Datadog’s global growth. We work directly with Datadog’s most senior leaders to set strategy, improve efficiency across the business, support data-driven decision-making, own complex operations, and more. In this role, you will serve as the strategic partner for our Enterprise segment in the Americas region, identifying opportunities for revenue growth & sales force effectiveness, spearheading strategic initiatives across our go-to-market teams, and driving critical annual planning activities. This role offers the chance to make an immediate and significant impact as we continue to expand our Americas footprint. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them What You’ll Do: Support the Enterprise Strategy & Operations team in addressing strategic and operational challenges faced by the Americas Enterprise sales leadership Partner with senior team members to analyze key business areas and surface insights that inform decision-making Support the design and execution of regional programs, including headcount planning, territory design, pipeline reviews, and business performance tracking Collaborate with cross-functional teams including Sales, Channels & Alliances, Marketing, and Customer Success to execute high-impact initiatives that drive growth and improve sales productivity Support sales leadership in executing critical operating rhythms (e.g., QBRs, forecast reviews, leadership updates) Drive day-to-day operational processes, including stakeholder support, KPI management, and process

aigorust
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DU
DoorDash USA
📍 San Francisco• Full-time• From $1.3M/yr
23 days ago

About the Team Our US Marketplace team is responsible for growing the DoorDash business in the US, helping customers to discover & order what’s best in their city, merchants to grow their sales, and dashers to find flexible work. About the Role The US Marketplace team is looking for a motivated and hands-on Associate Manager to join the Strategy & Operations Growth and Markets team. You will own a portfolio of projects aimed at growing the core Marketplace business, working closely with DoorDash’s product, marketing, finance, and analytics teams.You’ll have the opportunity to help grow strategic markets, identify new growth bets, incubate 0-1 experiments, and execute on a roadmap to drive growth. You’re excited about this opportunity because you will… Build and own. You’ll have your fingerprints all over DoorDash’s next wave of growth. You’ll do whatever it takes to launch, get 1% better every day, and scale something completely new, from high-level strategy down to the nitty-gritty operational details. Incubate. You’ll take bets that don’t have an owner yet, scope them, test them, and either graduate them into funded programs or kill them with a clear, well-argued recommendation. Strategize. From first principles, you’ll develop the optimal strategy for growing segments and launching bets that no existing playbook covers. Experiment. You’ll turn strategies into operational experiments that create measurable, actionable outcomes, then use those results to shape the larger implementation plan. Analyze. You’ll pull your own data, assess the operational and financial impact of your decisions, and iterate based on what you find. Lead and collaborate. You’ll work with cross-functional partners across product, analytics, marketing, sales, and finance to get your initiatives resourced and shipped. We’re excited about you because… You have 4+ years of experience in a problem-solving role: consulting, tech, banking, or similar. Experience taking something

sqlawsgit
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OpenAI
📍 San Francisco• Full-time• $342K – $445K/yr
1mo ago

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role We are seeking a Technical Lead to lead deployment and operations for OpenAI’s Silicon & Systems team. This person will become the Directly-Responsible Individual responsible for bringing OpenAI’s custom silicon and associated systems into data center environments, ensuring successful deployment, bring-up, validation, operational readiness, and ongoing reliability at scale. This role sits at the intersection of silicon, systems, infrastructure, data center operations, and software. You will lead a team focused on taking new hardware platforms from lab validation into production data center deployment. You will be responsible for building the operational processes, technical workflows, tooling, and cross-functional alignment required to deploy and operate custom AI hardware reliably in OpenAI’s supercomputing infrastructure. The ideal candidate is both a strong leader and a deeply technical operator. You should be comfortable staying close to the technical details of hardware bring-up, fleet deployment, debugging, system validation, data center integration, and production operations. This role requires strong execution, excellent cross-functional judgment, and the ability to drive clarity in ambiguous, fast-moving environments. In this role, you will: Lead a team responsible for deployment and operations of OpenAI’s custom silicon and systems in data center environments Own the path from hardware bring-up and validation through production deployment, operati

awsrestai
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Stripe
📍 Bengaluru• Full-time
1mo ago

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 in 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. What you’ll do You will act in a player-coach capacity and will be accountable for supporting associates in delivering against target set goals and mentoring in subject matter expertise. You will manage a small team of TechOps Payments Analysts. Responsibilities Champion metrics-driven analysis to continuously assess and optimize team performance, with a strong focus on automation Leverage automation to streamline data reporting and deliver timely, data-driven insights to management/key stakeholders Utilize data as a core tool for guiding people management strategies and optimizing team productivity Play a key role in weekly business reviews (WBR), using data to lead discussions support decision-making Manage capacity and scheduling, dividing and assigning work between team members. Lead independent discussions with TechOps, Engineering and XFN Partners to unblock complex reconciliation issues. Ensure your team has strong data analysis and Technical skills needed to be successful in their role. Setting clear goals and expectations for individual and team performance. Foster a culture of continuous improvement to refine team processes and procedures. Support recruitment and hiring initiatives. Coach and mentor individuals to meet career via structured career development conversations. Provide continuous performance feedback and facilitate periodic formal performance reviews. Drive and own initiatives that make the

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EVERY™
📍 San Francisco• Full-time• $900K – $1M/yr
23 days ago

About us EVERY™ is a leading VC-backed food tech ingredient company and market leader using precision fermentation to create animal proteins without the animal for the global food and beverage industry. EVERY™ is a team of passionate change-makers who are reimagining the factory farm model with a kinder, more sustainable alternative. Leveraging precision fermentation to produce hyper-functional and one-to-one replacement proteins from microorganisms, EVERY™ is on a mission to decouple the world’s proteins from the animals that make them. We are a passionate, determined (and fun!) team with a vital objective, and we're on the lookout for like-minded people to join our mission. For more information, visit www.every.com The Role: This unique entry-level Research Associate I position offers the rare chance to work across two core teams, Analytics and Protein Science. You’ll gain hands-on experience supporting protein development, purification, and analysis, while learning how these disciplines work together to drive innovation in precision fermentation. This is a great opportunity for someone early in their career who thrives in the lab, loves variety, and wants to learn fast in a collaborative, mission-driven environment. What you'll accomplish Generate data through basic biochemistry/molecular biology techniques (including but not limited to BCA, SDS-PAGE) Operate and maintain analytical equipment (e.g., HPLC-UV/RI and Combustion Analyzer, dynamic light scatterer, FPLC-UV, fluorescence/UV plate reader) Support protein characterization workflows through lab-scale protein powder generation involving bench-scale downstream processing unit operations (microfiltration, ultrafiltration, diafiltration) Prepare samples, reagents, and buffers to support cross-functional experiments Collaborate with scientists and engineers across teams to troubleshoot and iterate quickly as part of our Design, Build, Test, and Learn pipeline Present results

aigolean
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About the Team: Being part of Meesho's Fulfilment and Experience team will zip you to the cockpit of our ever burgeoning rocketship, where you get to directly shape the experience of the country's next billion e-Commerce users. We are an eclectic mix of 100+ professionals with diverse skill sets ranging from running operations / support, supply chain know-how, analytics and the holy grail, first principles problem solving. At Meesho, we are trying to do what's never been done before - taking e-Commerce to the masses. This leaves us with no choice but to completely reimagine logistics from the ground up, to cater to our customers' price and delivery expectations. That means a host of "zero-to-one" projects (takers, anyone?) to build a supply chain which changes how folks think about e-Commerce not just in India, but globally. We focus on personal growth and fun at work just as much as we do on working hard. About the Role As an Assistant Manager - F&E, you'll be responsible for identifying key problems, setting the priorities, coming up with solutions and driving implementation. In order to drive implementation, you'll get complete autonomy in terms of the team and processes that you would want to set up. You'll also be responsible for shaping up the right solutions in coordination with the product team, in case your solution requires tech interventions.

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. The Customer Engineering organization serves as the primary technical interface for our global customers and helps ensure that Micron solutions are seamlessly integrated into next-generation technology platforms. Our team coordinates deep engineering engagements, technical product qualifications, and architecture reviews to secure design wins and grow market share. We are dedicated to providing world-class technical support that accelerates revenue and builds long-term strategic partnerships with our customers. Role Description: The Field Applications Engineer - Associate plays a vital role in achieving the technical achievements needed to launch products. You will be an important member of our field engineering team. In this position, you will oversee many end-to-end technical tasks, including sophisticated product sample deployments, lifecycle management, addressing technical questions, and other customer interactions. You should adopt an "automation-first" approach to actively find ways to improve processes and apply AI-based workflows in daily operations when possible. This role can lead to a full-time FAE career for individuals who achieve the right results. It also requires demonstrating the right skills and behaviors. Example Responsibilities: Coordinate the entire process of tech

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Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE As an Associate Systems Engineer, you play a key role in supporting the SE organization through activities that drive customer adoption as well as lifecycle management of a customer’s fleet of products and solutions. WHAT YOU'LL DO Assist internal teams with configuration validation in support of sales opportunities Collect and acquire data for use in the creation of sales plays and lifecycle management programs and processes Work with established programs and sizing tools to provide customers with a product performance solution that meets and exceeds their expectations Be involved in the Account Planning process as part of a larger team Assist with solution designs and take point on simple designs Assist prospects and customers with basic demonstrations, system configurations, feature adoption, and answers to technical questions Work with established programs and sizing tools to support customer pursuits Work cross functionally with internal departments such as Customer Support, Professional Services, Renewal, Sales Operations, and Order Management Supports both pre-sales and post-sales activities, optimizing customer engagement and satisfaction Drive technical account management to ensure seamless implementation and ongoing support of Everpure solutions, fostering strong customer relationships We are primarily an in-office environment and therefore, you will be expected to work from the Bangalore office in compl

awslinuxrest
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Hyreo
📍 Bengaluru• Full-time
23 days ago

Associate(M) - Category Management To plan overall supply planning for BU People Management - Team handling skills Making sure the workload is taken care of Making sure BAU works are not getting Impacted on any attrition or Long Leaves Taking up things with Concerned team , if the escalation done by team is not given importance Coordinating with Multiple stakeholders on solving real time issues on daily Level ( Inwards, catalogue, Tech, Transporter, Brand and Business team) Job Description: Co Ordinating with Product team, on projects and Developments required in the tool in order to bring goodness to the productivity on Planning and ops Supply chain understanding-DOH, Inventory Management, Inventory Health, RTV Logistic management- Lead time, Forecasting, Speed Vendor Management – Vendor Score cards reviews Warehouse management- Capacity management, Fillrate management Operation management- Daily Operation management Catalog Management understanding Qualifications & Experience Graduate from reputed institution 3-4 Years of relevant experience in Fashion buying / planning and Operations Willingness to learn, innovate, take initiatives Expertise in working on Excel Customer centric, creative & analytical problem-solving mindset Ability to work as part of a team & collaborate with others while demonstrating leadership skills Should be good at multitasking & critical thinking

aigoexcel
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IT
23 days ago

About the Role We are seeking an experienced Azure DevOps Engineer to design, implement, and maintain CI/CD pipelines, cloud infrastructure, and automation solutions on Microsoft Azure. This role bridges development and operations, ensuring reliable, secure, and scalable delivery of applications and infrastructure. Location: Hyderabad-India-Onsite Duration: Fulltime Responsibilities Design, build, and maintain CI/CD pipelines using Azure DevOps (Pipelines, Repos, Artifacts, Boards) Architect and manage Azure cloud infrastructure using Infrastructure as Code (ARM templates, Bicep, or Terraform) Automate build, test, and deployment processes across multiple environments Implement and manage containerization and orchestration (Docker, Azure Kubernetes Service) Monitor system performance, availability, and security using Azure Monitor, Log Analytics, and Application Insights Collaborate with development, QA, and security teams to streamline release management Implement Azure security best practices, identity management (Azure AD/Entra ID), and network architecture Manage cost optimization and governance across Azure subscriptions Troubleshoot production issues and support incident response Document infrastructure, pipelines, and operational procedures Required Qualifications Microsoft Certified: Azure Solutions Architect Expert, Azure Administrator Associate (required) 3+ years of hands-on experience with Azure DevOps and Azure cloud services Strong experience with Infrastructure as Code (Bicep, ARM templates, or Terraform) Proficiency scripting in PowerShell, Bash, or Python Experience with Git version control and branching strategies Solid understanding of networking, security, and identity concepts in Azure Experience with containerization (Docker) and orchestration (Kubernetes/AKS) Familiarity with monitoring and logging tools (Azure Monitor, Application Insights) Preferred Qualifications Additional certifications: Azure DevOps Engineer Expert Experience with multi-

pythonazuredocker
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Lyft
📍 Toronto• Full-time• From C$1.3M/yr
1mo ago

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. The Safety and Customer Care (SCC) team at Lyft manages over 1.7 million monthly human and AI interactions and serves as Lyft's primary direct touchpoint with riders and drivers. We handle critical infrastructure that powers both human associates and AI agents to make riders and drivers feel safe and comfortable while riding or driving with Lyft, transforming every support interaction into a moment of genuine connection. As a Data Scientist working on Causal Inference in SCC, you'll partner with a strong team of engineers, product managers, designers, and operations leaders to deliver a personalized and exceptional experience for Lyft customers, using rigorous causal inference to guide the highest-stakes decisions we make. We're looking for a motivated and talented Data Scientist with deep causal inference expertise to join the SCC Data Science team. You'll partner closely with the area's tech lead on high-impact work spanning AI-powered support products, differentiated service, and operations optimization. The ideal candidate brings sharp applied inference intuition, a bias toward impact, and the ability to cut through ambiguity in complex problem spaces. You'll work on projects like: Design rigorous experiments and quasi-experiments to measure the causal impact of SCC product and AI-agent launches, and drive data-informed launch decisions. Build causal ML models to optimize concession budget allocation, targeting the right support credit, to the right rider or driver, at the right moment to maximize trust and business impact. Quantify the long-term effects of support-experience changes on rider and driver retention, and uncover heterogeneous treatment effects across our community. Deliver strategic insights on quality–cost tradeoffs, empowering leadership to balance service quality, coverage,

pythonsqlai
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Lyft
📍 Toronto• Full-time• From C$1.4M/yr
1mo ago

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. The Safety and Customer Care (SCC) team at Lyft manages over 1.7 million monthly human and AI interactions and serves as Lyft's primary direct touchpoint with riders and drivers. We handle critical infrastructure that powers both human associates and AI agents to make riders and drivers feel safe and comfortable while riding or driving with Lyft, transforming every support interaction into a moment of genuine connection. Agentic AI is at the center of how we scale that mission. We fine-tune and align open-source models, build AI-powered support agents, and develop end-to-end AI agents for safety case management, systems that reason over complex, high-stakes cases and drive them to resolution. SCC brings together ML, data, backend, and product engineers alongside data scientists and operations partners to transform these systems. As a Machine Learning Engineer on the SCC team, you will fine-tune and align models and build AI Agents that power how riders and drivers get help. Your work spans the full loop: post-training open-source models for our domain, composing them into multi-step agents, and building the evaluation that proves they are safe to ship in a customer-facing, safety-critical setting. Post-train and adapt open-source LLMs for SCC use cases using SFT, LoRA, and preference-tuning methods (RLHF, RLAIF, RLVR). Design and build AI-powered support agents and end-to-end agents for safety case management using LangGraph or equivalent agentic frameworks. Own the evaluation data flywheel, offline and online, that defines what "good" looks like and build benchmarks for the team to hill-climb. Turn interaction feedback into training data and learning signals, closing the data flywheel that continuously improves the models. Responsibilities: Conduct literature review and build post-training fra

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