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Quality Assurance Manager Jobs

10,000 active opportunities · Updated for October 2026

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Explore current quality assurance manager jobs. Use filters to narrow by work mode, employment type, experience and date posted.

I
Instacart
📍 United States• Full-time• Remote• From $189K/yr
1mo ago

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview Instacart Ads powers one of the industry's leading retail media networks, enabling Instacart and its retailer partners to deliver highly relevant, effective advertising experiences at scale. As part of the Ad Product team, you'll sit at the intersection of machine learning, marketplace dynamics, and measurable business impact — helping shape the future of how brands connect with shoppers across the Instacart platform. We're looking for a Senior Product Manager to own the systems that drive core auction understanding and marketplace balance within our Ads Quality domain. This is a high-impact, technically complex space where your work will directly influence the health of the ads ecosystem — from how auctions are structured and optimized to how quality signals inform ranking and relevance. You'll partner closely with a team of talented machine learning engi

REMOTEmachine learningaigo
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I
Instacart
📍 BC, Canada• Full-time• Remote• From C$165K/yr
1mo ago

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview Instacart Ads powers one of the industry's leading retail media networks, enabling Instacart and its retailer partners to deliver highly relevant, effective advertising experiences at scale. As part of the Ad Product team, you'll sit at the intersection of machine learning, marketplace dynamics, and measurable business impact — helping shape the future of how brands connect with shoppers across the Instacart platform. We're looking for a Senior Product Manager to own the systems that drive core auction understanding and marketplace balance within our Ads Quality domain. This is a high-impact, technically complex space where your work will directly influence the health of the ads ecosystem — from how auctions are structured and optimized to how quality signals inform ranking and relevance. You'll partner closely with a team of talented machine learning engi

REMOTEmachine learningaigo
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A
1mo ago

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: The Quality Engineering team helps Airbnb build high-quality software efficiently. We enable Airbnb engineers to build highly testable systems by building and using tools leveraging AI. We own and continuously improve product test cases, automation coverage, test automation tools, environments, frameworks. We navigate Airbnb’s massive codebase identifying weak spots, and help design and implement testable fault-tolerant systems. The Difference You Will Make: Be a leader in Airbnb leveraging AI to redefine and accelerate Quality Engineering As a Staff Automation Engineer, you will help us meet this challenge by building and maintaining automation coverage for features and releases. You will work directly with the product engineering team to develop and maintain our test tools, write and test product code, participate in design reviews to architect testable systems, and guide designs and code to enhance modularity and testability. You are eager to understand complex systems top to bottom and thrive working across technologies and codebases. In addition, you excel at working through ambiguity, concept validation, and implementing best-in-class solutions. As a global company, our mission is to develop and maintain the necessary quality engineering processes that scale to meet the needs of both our external customers and internal teams. We strive to ensure that our product and support workflows deliver a seamless experience for guests, hosts, and support agents. A Typical Day: Leverage AI and tooling to lead the implementation of a test automation strategy, coveri

REMOTEjavascripttypescriptjava
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Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: The Quality Engineering team helps Airbnb build high-quality software efficiently. We enable Airbnb engineers to build highly testable systems by building and using tools leveraging AI. We own and continuously improve product test cases, automation coverage, test automation tools, environments, and frameworks. We navigate Airbnb’s massive codebase, identifying weak spots, and help design and implement testable fault-tolerant systems. The Difference You Will Make: Be a leader in Airbnb, leveraging AI to redefine and accelerate Quality Engineering As a Senior Automation Engineer, you will help us meet this challenge by building and maintaining automation coverage for features and releases. You will work directly with the product engineering team to develop and maintain our test tools, write and test product code, participate in design reviews to architect testable systems, and guide designs and code to enhance modularity and testability. You are eager to understand complex systems top to bottom and thrive working across technologies and codebases. In addition, you excel at working through ambiguity, concept validation, and implementing best-in-class solutions. As a global company, our mission is to develop and maintain the necessary quality engineering processes that scale to meet the needs of both our external customers and internal teams. We strive to ensure that our product and support workflows deliver a seamless experience for guests, hosts, and support agents. A Typical Day: Leverage AI and tooling to lead the implementation of a test automation strategy,

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A
1mo ago

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join The Quality Platform team is at the heart of Airbnb’s mission to deliver a seamless, high-quality experience for millions of hosts and guests. We don’t just find bugs — we build the systems that prevent them. Our team sits at the intersection of Quality Engineering, Infrastructure, and Applied AI . We are evolving how software quality is built by integrating LLMs, intelligent automation, and data-driven systems into the testing lifecycle. You will join a high-impact group of engineers focused on building AI-powered quality systems that scale across one of the world’s most complex codebases. The Difference You Will Make As a Software Engineer , you will play a key role in building and evolving AI-native quality workflows across Airbnb. You will design systems that apply AI directly to the testing lifecycle , helping developers and quality engineers build, validate, and ship high-quality software at scale. In this role, you will: Build AI Agents for the Testing Lifecycle: Design and implement AI agents that support developers and quality engineers across the testing lifecycle — from test case generation and evolution to automation and maintaining test coverage as the codebase changes. Advance AI-Native Quality: Move beyond traditional automation by building systems that continuously adapt test coverage based on code changes and system behavior. Improve Developer and QE Productivity: Identify bottlenecks in testing and CI/CD workflows, and solve them through intelligent automation that reduces manual effort and accelerates feedback loops. Integrate AI into Engineering Workflows: E

typescriptpythonjava
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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 Data Quality and Governance owns the infrastructure that makes Stripe's data trustworthy and findable - the Data Catalog, the Knowledge Graph Service, dataset tiering and governance standards, lineage tracking, and the quality scoring system (DQPD) that every engineering team reports against. They're the team that defines what "good data" means at Stripe and then builds the enforcement and measurement tools to drive adoption across the company. What you’ll do Responsibilities Lead the technical outcomes for a team of ambitious, talented engineers, providing mentorship, guidance, and support to ensure their success Build and operate large-scale data discovery, metadata, or catalog platform Develop strong subject matter expertise and manage the SLAs of data pipelines and full stack web applications that support critical stakeholders Collaborate with product managers and peers across the company to create/improve canonical datasets and data warehouses, use golden paths, and ensure Stripes and customers are using trustworthy data Leverage AI/LLM and Agents at scale to produce and analyze high-quality data on ambiguous problems Have the opportunity to drive the execution of key data initiatives for Stripe, overseeing the entire development lifecycle from planning to delivery while maintaining high standards of quality and timely completion Foster a collaborative and inclusive work environment, promoting innovation, knowledge sharing, and continuo

javasqlaws
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About the Team The Systems Integration team is responsible for building the infrastructure, tooling, and validation systems that ensure our device software is reliable, testable, and ready to ship. We design and maintain automated test frameworks, hardware-in-the-loop labs, and release pipelines that keep quality signals trustworthy and enable rapid, safe product launches. Our work spans developer tools, automation, systems integration, and cross-team collaboration to ensure every release meets the highest standards. About the Role As a Software Engineer, Quality and Developer Tools , you will build and own the systems that validate our device software—from test frameworks and regression infrastructure to hardware-in-the-loop labs and release gates. You’ll design the tooling and automation that keep quality signals trustworthy, integrate them into CI/CD, and make it easy for engineers and QA vendor technicians to execute reliable, repeatable workflows. We’re looking for engineers with deep experience in software quality, automation, developer tooling, and hardware-software integration who thrive on building scalable, reliable systems for validation and release readiness. This role is based in San Francisco, CA. We use a hybrid work model of four days in the office per week and offer relocation assistance to new employees. In this role, you will: Test infrastructure & frameworks: Design, implement, and maintain a unified test framework for device software across unit, integration, system, and end-to-end testing, with reproducible runs and integrations with GitHub, Linear, and Slack. CI/CD integration & releases: Integrate test suites with Buildkite, enforce promotion criteria for staging and production, auto-file regressions, and publish traceable artifacts and release notes. Hardware-in-the-loop lab design & orchestration: Plan and bring up racks, power and networking systems, and orchestration for device testing; support automated flashing, provisioning

pythonawsci/cd
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S
1mo ago

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Cortex Code is Snowflake’s coding agent for building with data. It ships inside the platform that thousands of the world’s largest enterprises — including a large share of the Forbes Global 2000 — run their data on, which means the quality of this agent is felt by the data teams behind a meaningful slice of the global economy. We are taking coding agents from impressive demos to tools Data Science and Engineering teams depend on every day, and we hold them to a rigorous, public bar: see our data engineering agent benchmark . About the Role This is a measurement-first role that owns the quality and efficiency of Cortex Code end to end: how good the agent is, how much it costs to run, and how reliably it behaves in production. You will take agents from research capability to real, measurable user value — turning fuzzy “the agent feels worse” signals into hard metrics, running the experiments that move them, and shipping the changes that stick. You will work on a small, high-powered modeling and infrastructure team where your work reaches every developer building on Snowflake. What you will do in this role Take agents from prototype to production: design and refine agent behaviors for real coding and data-engineering workflows, and make them reliable enough to depend on. Own a

typescriptpythonai
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