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Analytical Quality Assurance Director Jobs

6,245 active opportunities · Updated for October 2026

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

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Micron
📍 Taichung• Full-time
7mo ago

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. As a High Bandwidth Memory Test Engineer at Micron, you will develop, debug, and maintain code that enables the parallel testing of advanced memory devices. Micron Test Engineers support R&D, interacting closely with global teams, as well as taking part in the designing and debugging of test hardware. In this position, you will constantly learn new device specifications and operations in order to develop efficient and innovative solutions of production test flows thru test algo optimization. Additionally, you will take responsibility to gain a firm understanding of the functionality of advanced memory devices as defined in product data sheets. RESPONSIBILITIES AND TASKS: Independency of development of new tests and test algorithms for HBM, which covers test software and hardware requirements, defect coverage, characterization, trending, process flow, and test times. Experienced on test programs development for products using primarily Python and C coding on automated test equipment in the given area followed by test program release to manufacturing area. Be a lead to new product introduction (NPI) as well as pre/post silicon tasks management. Develop test Automation solutions as electrical validation and qualification of new test equipment and tools. Independently debug and identify root causes on test issues and provide solutions across internal/external groups. Provide meaningful statistical data analysis, analytics and justification on program v

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Plaid
📍 San Francisco• Full-time
7mo ago

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. Making data-driven decisions is key to Plaid's culture. To support that, we need to scale our data systems while maintaining correct and complete data. We provide golden datasets and tooling to teams across engineering, product, and business and help them explore our data quickly and safely to get the data insights they need, which ultimately helps Plaid serve our customers more effectively. In addition, Plaid will not be successful if we can't move quickly. We build the data systems and tools that enable everyone at Plaid to be data-driven, making analytics easy, obvious, and proactive across the company. Data Engineers heavily leverage SQL and Python to build data workflows that integrate with our Golang applications. We use tools like DBT, Airflow, Redshift, Atlan, and Retool to orchestrate data pipelines and define workflows. We work with engineers, product managers, business intelligence, data analysts, and many other teams to build Plaid's data strategy and a data-first mindset. You will be in a high impact role that will directly enable business leaders to make faster and more informed business judgements based on the datasets you build. You will have the opportunity to carve out the ownershi

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Snowflake
📍 Menlo Park• Full-time
7mo 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. About the Team The Finance Data Science team owns the forecasting systems that power Snowflake’s revenue planning and long-term financial strategy. Our work supports corporate planning, executive decision-making, and investor reporting, and we partner closely with Product and Sales to understand customer behavior and product impact. We operate at the intersection of machine learning, statistical research, and corporate finance, building production-grade forecasting infrastructure that is foundational to how the company plans and operates. The Role As a Senior Data Scientist, you will independently lead high-impact modeling initiatives and build production-ready forecasting systems for core financial metrics. You will work on complex, open-ended problems at the intersection of machine learning and business strategy, translating real-world financial questions into rigorous, scalable models. What You’ll Do Design and implement advanced time-series and probabilistic models (e.g., hierarchical models, state-space models, Bayesian approaches, multivariate forecasting). Contribute to internal tooling and shared infrastructure that enables scalable forecasting and analytics. Establish best practices for model evaluation, backtesting, uncertainty quantification, and scenario simulat

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Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity You will join our Data & Analytics team, which owns two core data domains end to end: • Public market data — trades, quotes, funding, and full order-book data continuously captured from global crypto exchanges at petabyte scale. • Proprietary trading data — orders, fills, positions, balances, and settlement activity streamed from internal desks and systems. We are one team rather than separate engineering and analytics functions. The same people build pipelines, model data, validate its correctness, and answer the business questions it supports. You will see data problems through end to end: from the exchange connection or internal source through to the analysis produced from it. This is an exciting time to join. We are rebuilding the platform on ClickHouse, Apache Iceberg, and Kafka while continuing to support live trading. The work combines substantial platform design with hands-on ownership of business-critical data. What You’ll Be Doing • Build and operate pipelines that bring market and trading data into our platform, including ingestion, pars

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Instawork
📍 San Francisco• $90K – $100K/yr
7mo ago

Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we’re looking for exceptional talent to reimagine the way the world works. At Instawork, the safety of our marketplace is our highest priority. We are looking for a Trust & Safety Specialist who is, first and foremost, a meticulous and objective investigator. You will be responsible for protecting our community by resolving complex safety incidents with a firm commitment to evidence and policy. To excel at the scale we operate, you must be highly proficient in modern operational leverage. This means using vibe coding (Natural Language to SQL) and AI-driven automation to gather facts, synthesize data, and streamline your workflow. We aren't looking for someone to just follow a manual—we want an investigator who uses the latest technology to find the truth faster and more accurately. Who You Are: The Master Investigator: You have a "detective" mindset. You know how to weigh conflicting evidence, identify biases, and reach a fair conclusion under pressure. AI-Native & Tech-Fluent: You are proficient in using AI to enhance your productivity. You understand how to use natural language to interface with data (vibe analytics) and automate repetitive administrative tasks. High Agency: You take extreme ownership of your cases. You don't just "process" a ticket; you solve the underlying problem. Experience: 3+ years in Trust & Safety, Operations, or Compliance. Experience communicating with external stakeholders (clients, legal, or law enforcement) is a must. Data-Inquisitive: You are comfortable navigating internal systems and using data to build a narrative of facts. What Y

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Robinhood
📍 United States• Full-time• $264K – $310K/yr
7mo ago

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Data Platform organization builds and operates the systems that power how data is stored, moved, and consumed across Robinhood. This organization spans three core pillars: Storage (Postgres, DynamoDB, and caching systems), Streaming (real-time event infrastructure), and Data Lake (ingestion and compute systems built on Delta Lake). Together, these platforms support transactional workloads, real-time data processing, and large-scale analytics that are critical to Robinhood’s products and operations. The team owns the full lifecycle of data—from low-latency order path systems to near real-time and batch analytics—serving millions of users and internal teams across the company. As a Senior Staff Software Engineer , you will serve as the technical lead across the Data Platform organization, shaping architecture and guiding execution across multiple teams. You’ll work on complex distributed systems challenges such as database sharding and proxy architectures, real-time streaming and CDC systems, and large-scale data ingestion and compute platforms. You’ll define and drive key technical bets, partner with engineering leaders to align platform capabilities with business needs,

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Perplexity
📍 San Francisco• Full-time• Remote• $200K – $215K/yr
7mo ago

Perplexity is seeking a highly motivated and skilled Demand Generation Lead to join our GTM team. This is a high-impact, high-autonomy role. You’ll own Perplexity’s demand generation engine for our enterprise and business products, partnering closely with Sales, Product Marketing, and Revenue Operations to accelerate pipeline and revenue growth. If you’re the kind of marketer who builds their own tools, automates ruthlessly, and treats every campaign as an experiment—this role was written for you. RESPONSIBILITES Own Perplexity’s end-to-end demand generation strategy with direct accountability for enterprise top of funnel growth and downstream conversion to revenue. Architect and operate a modern demand engine using AI-native tooling—programmatic outbound, AI-personalized sequences, intent-based targeting, and automated workflows—that generates qualified pipeline at scale. We don’t buy, we build. Design and execute multi-channel campaigns across paid, organic, ABM, events, partnerships, and emerging channels, continuously testing new motions, killing what doesn’t work, and doubling down on incremental impact. Develop segmentation and targeting strategies for priority enterprise buyer personas, including IT leaders, executives, developers, and AI decision-makers. Partner with Product Marketing, Sales, and Revenue Operations to own and continuously improve the marketing-to-sales funnel. WHAT WE’RE LOOKING FOR: 5+ years building and scaling multiple growth channels at a fast paced startup with a proven track record of revenue growth Experience and deep interest in building homegrown AI-driven outbound engines, programmatic personalization, and rapid experimentation platforms to scale yourself. Analytically rigorous: You are deeply data-driven, comfortable in SQL, attribution measurement, and BI tools like Looker, Omni, Hex, and Tableau. You build your own dashboards, define your own metrics, and make decisions based on evidence, not intuition. Thrives in ambiguity: You

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GoCardless
📍 Riga• €32K – €48K/yr
7mo ago

About us GoCardless, a Mollie company, is a global leader in bank payments. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect, manage and send bank payments through Direct Debit, real-time payments and open banking. With US$130bn+ processed annually across 30+ countries, we handle recurring and one-off payments without the chasing, stress, or expensive fees. Our end-to-end payment platform also features AI-powered solutions to improve payment success and reduce fraud, alongside connections to over 350 platforms businesses use everyday. We are headquartered in the UK, with teams and operations spanning North America, Europe and Asia-Pacific. For more information, please visit www.gocardless.com and follow us on LinkedIn @GoCardless. Mollie is the leading payments and financial services partner for business, rooted in Europe, with global reach. Payment Intelligence Our mission is to make GoCardless the best way to pay and be paid. Our ambition is to dramatically improve payment performance and safeguard our customers from bad outcomes like payment fraud and failures. You will help find data opportunities and areas to improve our payment intelligence products. You should be comfortable with large data sets, customer data, and machine learning principles. You’ll work alongside Product Managers, Engineers and Data Scientists in our two core Payment Intelligence teams to provide critical insights and help drive product direction. Our existing Payment Intelligence Products are already one of the key reasons why customers choose GoCardless. These include Protect+, which defends customers from fraud, and Success+, which helps customers intelligently recover failed payments. You will need to own our understanding of these products and identify insights and opportunities to help us develop new intelligent features. What You'll Do At GoCardless analytics is at the core of everything we do and drives business performance through d

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GoCardless
📍 Lisbon• €32K – €48K/yr
7mo ago

About us GoCardless, a Mollie company, is a global leader in bank payments. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect, manage and send bank payments through Direct Debit, real-time payments and open banking. With US$130bn+ processed annually across 30+ countries, we handle recurring and one-off payments without the chasing, stress, or expensive fees. Our end-to-end payment platform also features AI-powered solutions to improve payment success and reduce fraud, alongside connections to over 350 platforms businesses use everyday. We are headquartered in the UK, with teams and operations spanning North America, Europe and Asia-Pacific. For more information, please visit www.gocardless.com and follow us on LinkedIn @GoCardless. Mollie is the leading payments and financial services partner for business, rooted in Europe, with global reach. Payment Intelligence Our mission is to make GoCardless the best way to pay and be paid. Our ambition is to dramatically improve payment performance and safeguard our customers from bad outcomes like payment fraud and failures. You will help find data opportunities and areas to improve our payment intelligence products. You should be comfortable with large data sets, customer data, and machine learning principles. You’ll work alongside Product Managers, Engineers and Data Scientists in our two core Payment Intelligence teams to provide critical insights and help drive product direction. Our existing Payment Intelligence Products are already one of the key reasons why customers choose GoCardless. These include Protect+, which defends customers from fraud, and Success+, which helps customers intelligently recover failed payments. You will need to own our understanding of these products and identify insights and opportunities to help us develop new intelligent features. What You'll Do At GoCardless analytics is at the core of everything we do and drives business performance through d

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Oatly
📍 Los Angeles, United States
7mo ago

Hello potential future Oatly employee. It’s us, the original oatmilk company that started in Sweden back 25 or so years ago and has since expanded to the U.S. where we’ve continued growing at a rate such that we need more brilliant minds to come work with us to keep the momentum going and the oatmilk flowing. Sustainability, health, and transparency are the core values that guide everything we do. Basically, we exist to help people live a healthier life without recklessly taxing the planet’s resources in the process, and to change the food system for the better. We drive that change through the power of oats and through a significant reduction in cow’s milk consumption. If any of this resonates with you, then maybe you’d like to work for Oatly, too. Now onto the formal stuff. We are looking for a Director of Foodservice Distribution to join our team. This role leads Oatly’s national foodservice distribution strategy—driving growth, deepening partnerships with major broadliners and distributors (e.g., Sysco, US Foods, Gordon Food Service, Performance Food Group, and DOT Foods), while steering cross-functional execution to deliver revenue, margin, and distribution targets. You'll partner with cross-functional leaders and manage foodservice distribution team members to build differentiated go-to-market strategies, lead forecasting and promotional investment processes, and elevate our foodservice and distribution sales organization's effectiveness with insightful analytics and compelling selling tools. You'll play a pivotal role in how we bring Oatly to the OOH market—ensuring we have the right partnerships, investments, and plans in place to continue our growth trajectory while driving profitable and sustainable YoY growth! You are: A Leader and Proven Hunter with the ability to open new business, and also A Farmer who can strategically grow existing business profitably while leading, mentoring, and managing others Well-connected in the foodservice & beverage space - e

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CSQ127R318 As a Big Data Solutions Architect (Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead. The impact you will have: You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases Work with engagement managers to scope variety of professional services work with input from the customer Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Provide an escalated level of support for customer operational issues. You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. What we look for: 6+ years experience in data engineering, data platforms & analytics Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosyste

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CSQ127R318 As a Big Data Solutions Architect (Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead. The impact you will have: You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases Work with engagement managers to scope variety of professional services work with input from the customer Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Provide an escalated level of support for customer operational issues. You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. What we look for: 6+ years experience in data engineering, data platforms & analytics Comfortable writing code in either Python or Scala Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at le

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Coinbase
📍 United States• Full-time• Remote• $253.9K – $298.7K/yr
7mo ago

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Senior Staff Software Engineer on the Data Platform team within Platform , you'll define and lead the technical strategy for Coinbase's data infrastructure, spanning ingestion, transformation, warehousing, streaming, and serving systems. This is a foundational role at the intersection of distributed systems, data engineering, and AI-readiness, reporting to the Senior Director of Engineering. You'll set architectural direction, drive multi-quarter roadmaps, and transition the organization from managed-service dependency toward engineering-built, platform-grade infrastructure that powers everything from fraud detection to modern multi-agent AI architectures. What you'll do: Own the technical strategy and architecture for Data Platform, setting direction across data ingestion, transformation, warehousing, streaming, and serving systems while driving engineering-led cost reduction at the infrastructure layer. Architect data infrastructure to natively support AI and ML workloads, ensuring pipelines, data lake systems, and compute can power ML training, feature stores, real-time inference, and multi-agent AI architectures at scale. Drive the evolution to near-real-time data availability, enabling downstream teams across Coinbase to act on fresher data for fraud detection, financial reporting, and analytics. Build alignment and secure commitment from senior leadership

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7mo ago

SOBRE A CAPCO A CAPCO é uma consultoria global de tecnologia e negócios, focada no setor de serviços financeiros e energia, somos apaixonados por ajudar nossos clientes, temos 33 escritórios nas Américas, Europa e Ásia-Pacífico! Vamos te apoiar e ajudar a acelerar sua carreira! EXPERIÊNCIA informática (Excel, PowerPoint, Word, Acrobat, MS Power BI, MS Project, Primavera), Solida experiência comprovada na carteira de trabalho em empresa de Engenharia ou óleo e gás SAP (módulo PS), Inglês Intermediário Gerenciamento de Projetos. ESCOLARIDADE Nível Superior em Engenharia com Pós-Graduação em Gerenciamento de Projetos. ATRIBUIÇÕES Elaboração de minuta e análise das diretrizes contratuais de planejamento e controle de Projetos; Elaboração e análise de minuta da Estrutura Analítica de Projeto (EAP) e critérios de medição de contratos; Elaboração e análise de minutas de cronogramas físico e financeiro; Elaboração de minuta de relatórios de acompanhamento dos Projetos e apresentações relacionadas; Monitoramento de prazo e custo de projetos no SAP; Estruturação da EAP de projetos no módulo PS do SAP; Alocação dos custos operacionais da gerência (centro de custo) nos projetos de atuação (repasse de custos); Elaboração de minutas de procedimentos, manuais, padrões, acordos e especificações referentes às atividades da área; Monitoramento e análise de indicadores do Empreendimento; Cadastro de dados de projetos nos sistemas corporativos; Preparação e verificação de requisitos de auditoria; Implantação e suporte à utilização de ferramentas (SAP, EPM – Enterprise Project Management, etc) de apoio ao gerenciamento de projetos; Mapeamento de processos inerentes ao gerenciamento de projetos; Dentre outros serviços relacionados a análise de custos e desempenho dos projetos de sistemas submarinos. Sobre a CAPCO: Na Capco promovemos uma cultura inclusiva. Valorizamos a diversidade em todas as suas expressões. Pensamos, em conjunto , sempre em a

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Cursor
📍 San Francisco• Full-time
7mo ago

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. About the role We're hiring an Enterprise Platform Engineer to build the foundational systems that make Cursor ready for the world's largest engineering organizations. Today we have basic organizations, simple IAM primitives, early audit logs, analytics APIs, and admin APIs — but enterprise customers need much more. You will design and build the platform layer that powers organization management, access control, compliance, and administrative tooling across Cursor's product surface. This is a deeply technical IC role focused on building correct, secure, and scalable enterprise infrastructure — not gluing together vendor SDKs. What you’ll do Build and evolve our organization management system — multi-level org structures, groups, roles, lifecycle, and provisioning via SCIM, so admins can manage thousands of seats without friction. Design and implement RBAC with fine-grained roles, permissions, and resource scopes that cover organizations, teams, agents, and other resources — balancing security with developer ergonomics. Extend enterprise settings and policies — org-wide defaults, security policies (allowed models, MCPs, Tools, network restrictions), and configuration inheritance

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