Analytical Quality Assurance Director Jobs

🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts , accounts for 16-17 year olds , a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save , invest and combine their pensions with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ 📍London/Cardiff/UK Remote | 💰 £115,000 - £150,000 + Incentive Awards tied to your performance + Benefits ✨ About our Machine Learning FinCrime Team: Our Financial Crime Data team consists of over 25 people across 4 data specialisms: Analytics Engineers, Data Analysts, Machine Learning Scientists and Data Scientists. As a Lead Machine Learning Scientist, you’ll be working in a fast moving environment, building and iterating on our financial crime defensive capabilities to ensure we keep Monzo and our customers safe. Our financial crime team has a large impact on Monzo’s bottom line as fraud and scams are usually some of the largest cost line items in a bank's P&L. We have a major influence on the overall customer experience and it’s our duty to keep our customers safe. The work we do results in directly measurable customer or company benefit, which is incredibly satisfying. Our Machine Learning Scientists work on a range of problems within the different financial crime areas ranging from fraud detection and prevention, transaction monitoring for different types of suspicious activity through to customer risk assessment and op

Job Description: Talent Acquisition (Enabling Hiring) Location: Noida About Paytm Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the Team The talent acquisition team is responsible for identifying, sourcing, and securing top talent for various businesses within Paytm. About the Role We are seeking an accomplished Talent Acquisition for Enabling/Corporate hiring function. This critical role will be responsible for defining and executing a robust talent acquisition strategy for Enabling positions across Paytm. You will act as a strategic partner to our executive team, ensuring the attraction, assessment, and successful onboarding of top-tier talent that aligns with our ambitious growth objectives. Expectations/Requirements Draw on extensive knowledge of Talent Acquisition and the functional areas of the business, forging dynamic, trusted relationships with business leaders, and HR business partners. Utilize analytics and market intelligence to anticipate roadblocks, identify talent trends, and strategically solve complex executive hiring challenges. Optimize operational process flows for executive search, identifying ways to deliver a consistent, scalable, and highly customer-obsessed recruitment experience to all senior stakeholders. Drive an exceptional candidate and referee experience for executive hires, delivering on key internal SLAs and maintaining confidentiality and discretion .Create and present comprehensive KPI reports and manage strategic dashboards for executive hiring metrics. Superpowers/Skills 3-5 Years of experience in Talent Acquisition with a significant focus on enabling & Corporate roles (Finance, HR, Marketing, PR, Legal, Marketing, Enterprise

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft is looking for an Engineering Manager from across multiple disciplines. We are growing our team with people who want to build, improve, and incorporate technologies that make the lives of our community more enriched. As an Engineering Manager at Lyft, you'll collaborate with other teams and orgs, product managers, designers, data scientists, analysts, and operations on technology that empowers us to iterate quickly, while focusing on delighting our passengers and drivers. The Rider organization is focused on building a seamless, best-in-class rideshare experience for riders. From the foundational functionality of requesting a ride to the tailored interactions with specific verticals like your flight, we sweat the small stuff to help make Lyft the best transportation solution. As an Engineering Manager on the Rider vertical team, you will act as a critical technical leader, taking holistic ownership of supporting current projects and delivering new products from 0 to 1. This includes developing complex systems, defining strategic roadmaps, driving cross-functional alignment, and ensuring engineering excellence to improve the rideshare experience. Responsibilities: Drive team execution, proactively resolve bottlenecks and make decisive trade-offs. Partner with cross-functional teams (Product, Design, Marketing, Science, and Analytics) to define the team's strategic direction. Translate high-level business goals into actionable projects. Own a team roadmap from conception to delivery, managing cross-team dependencies and mitigating risks. Maintain operational excellence through contributing to best practices for observability, reliability, and on-call processes. Ensure technical excellence through architecture reviews, tech debt management, and engineering guidance. Maintain team health

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Welcome to Micron's Advanced NAND Process Pathfinding Team — where the next generation of memory technology is developed. We operate at the groundbreaking forefront of semiconductor innovation, engineering world-class memory solutions built for uncompromising performance. If you're ready to redefine what's possible in NAND process technology, we'd love you on this journey with us. As a Principal Engineer – Dry Etch, you will be part of an innovative Advanced NAND research & development dry etch team. This role offers significant opportunities for inventive work, cooperation, and pushing boundaries with Advanced NAND. You will engage directly with process integration and other process domains including Wet etch, CVD, Diffusion, Metals, Lithography & CMP. You will manage brand new and high-performance dry etch chambers and lead the process roadmap to fulfill program and yield targets. Responsibilities: Explore advanced dry etch methods to satisfy structural, electrical, yield, and integration demands throughout the NAND technology roadmap. Develop new plasma chemistries, process technologies, and equipment capabilities to enable future technology nodes. Apply advanced data analytics, AI/ML tools, and statistic

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. In the Technology - Advanced Modeling and AI Solutions (AMAIS) Group in Hyderabad, you will work in a multi-functional team of engineers highly skilled in the modeling of process, equipment, structures, and materials. This team’s primary responsibility is to support and enable solutions to Micron’s most significant challenges in Memory development and manufacturing. Your role will be to work on a project that directly supports one of our group’s critical programs. This project will involve materials or structure or process modeling. You will be responsible for developing and validating process/structure models using machine learning and statistical techniques, to build state-of-the-art products/solutions that helps in predictive analytics, prescriptive solutions, decision support, and decision automation data systems for our technology development and manufacturing teams. You are expected to work in a dynamic and fast-paced team environment developing models and reporting results to the AMAIS team and collaborating with them on next steps. This position seeks individuals that can code, implement, and utilize numerical models. Qualifications: Independence – be comfortable executing activities and needs Experience in algorithm development, numerical methods, and scientific computing Experience with computational materials science methodologies Familiarity with machine learning and deep learning concepts and applications</spa

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. SENIOR BRAND DESIGNER- MENLO PARK, CALIFORNIA WHO WE ARE At Snowflake, we are powering the era of the agentic enterprise. Snowflake delivers the AI Data Cloud — a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the AI Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake’s platform is the engine that powers and provides access to the AI Data Cloud, creating a platform for Data Engineering, Analytics, AI and Apps and Collaboration. Join Snowflake customers, partners, and data providers already taking their businesses to new frontiers in the AI Data Cloud. snowflake.com WHO YOU ARE We’re looking for a well-rounded Senior Brand Designer to join our Brand Design team, reporting into the Sr Manager, Corporate Design. You’ll create across a wide range of brand touchpoints–from events, tradeshows, and keynote presentations to eBooks, global campaigns, and product launches–while supporting the continued evolution of our core brand visual identity and assets. You must be a self-starter with a can-do a

Who We Are At Justworks, you’ll enjoy a welcoming and casual environment, great benefits, wellness program offerings, company retreats, and the ability to interact with and learn from leaders in the startup community. We work hard and care about our most prized asset - our people. We’re helping businesses get off the ground by enabling them to focus on running their business. We solve HR issues. We’re data-driven and never stop iterating. If you’d like to work in a supportive, entrepreneurial environment, are interested in building something meaningful and having fun while doing it, we’d love to hear from you. We're united by shared goals and shared motivations at Justworks. These are best summed up in our company values, which are reflected in our product and in our team. Our Values If this sounds like you, you’ll fit right in. Who You Are You are a strategic builder and executor who excels at translating business strategy into scalable, integrated marketing programs. You have a proven track record of developing and launching channel partner programs that drive mutual growth and meaningful business impact. You are analytically minded, creative, and comfortable operating at the intersection of strategy, execution, and systems design. As the channel partner marketing function grows, there will be opportunity for you to manage and develop team members. In this role, you will work closely with the Partner Marketing Director to help shape and execute the channel partner strategy. You'll partner with the Director on developing the channel playbook—defining business opportunity, audience segmentation, value propositions, and operating model—then own the development and execution of integrated marketing plans by audience (brokers, accountants, business services). You'll orchestrate across field marketing, demand generation, brand, marketing ops, and partner experience teams to ensure channel marketing programs are cohesive, compliant, and effective. You'll also identify an

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. Data Science is at the heart of Lyft’s products and decision-making. Data Scientists at Lyft operate in dynamic environments, moving quickly to build the world’s best transportation solutions.We tackle a wide range of challenges - from shaping long-term business strategy with data, to making critical short-term decisions, to developing algorithms and models that power both internal systems and customer-facing products. Lyft Business builds products that help organizations move the people who matter most - employees, customers, patients, and guests - easily and efficiently. Our offerings include Business Travel, Lyft Pass, and Concierge (for healthcare and non-healthcare rides), enabling companies to manage transportation at scale through APIs, integrations (e.g., Concur, Expensify), and dedicated tools. These platforms power high-impact B2B use cases across corporate travel, healthcare access, customer experience, and community programs. We are seeking a Senior Data Scientist to lead technical initiatives across the entire Lyft Business product suite. In this role, you will shape the technical vision, define algorithmic roadmaps, and drive execution for data science projects that accelerate growth, improve operational efficiency, and deliver measurable value to our enterprise partners. You’ll collaborate closely with Product, Engineering, Design, and Go-to-Market teams to build production ML models, experimentation frameworks, and advanced analytics that inform strategy and power product innovation. This is a high-visibility, high-impact role with direct influence on Lyft’s enterprise offerings. The ideal candidate will bring deep expertise in algorithm development, machine learning, causal inference, and experimentation, alongside strong business acumen in B2B contexts and a proven track record of t

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. Data Science is at the heart of Lyft’s products and decision-making. Data Scientists at Lyft operate in dynamic environments, moving quickly to build the world’s best transportation solutions.We tackle a wide range of challenges - from shaping long-term business strategy with data, to making critical short-term decisions, to developing algorithms and models that power both internal systems and customer-facing products. Lyft Business builds products that help organizations move the people who matter most - employees, customers, patients, and guests - easily and efficiently. Our offerings include Business Travel, Lyft Pass, and Concierge (for healthcare and non-healthcare rides), enabling companies to manage transportation at scale through APIs, integrations (e.g., Concur, Expensify), and dedicated tools. These platforms power high-impact B2B use cases across corporate travel, healthcare access, customer experience, and community programs. We are seeking a Senior Data Scientist to lead technical initiatives across the entire Lyft Business product suite. In this role, you will shape the technical vision, define algorithmic roadmaps, and drive execution for data science projects that accelerate growth, improve operational efficiency, and deliver measurable value to our enterprise partners. You’ll collaborate closely with Product, Engineering, Design, and Go-to-Market teams to build production ML models, experimentation frameworks, and advanced analytics that inform strategy and power product innovation. This is a high-visibility, high-impact role with direct influence on Lyft’s enterprise offerings. The ideal candidate will bring deep expertise in algorithm development, machine learning, causal inference, and experimentation, alongside strong business acumen in B2B contexts and a proven track record of t

About Flexport: At Flexport, we believe global trade can move the human race forward. That’s why it’s our mission to make global commerce so easy there will be more of it. We’re shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year. The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. We are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us. The Opportunity You will be a key partner to our General Managers and North America leadership across the Sales and Operations organizations. This is a role with both a strategic and a tactical edge: you’ll drive forecasting, planning, closing the books, and own the day-to-day tasks that keep the business moving. You’ll also play a key role in our AI transformation, working cross-functionally, with our accounting and data analytics teams to design and automate workflows across the enterprise. If you want to work at the cross section of global trade, technology and modern finance you belong here. You Will: Partner with Sales & Operations Leadership: Serve as the strategic finance partner to GMs and NA leadership, monitoring trends, communicating performance, and empowering operators to manage their business with clarity and confidence. Drive Business Outcomes Cross-Functionally: Operate at the intersection of strategy and execution. Translate commercial and operational questions into analysis that drives decisions, and work across teams to unblock bottlenecks and prioritize opportunities by impact. Improve & Automate: Lead process improvements beyond y

About Sayari: Sayari is the judgment infrastructure for trustworthy AI in economic security and commercial risk. The Sayari Commercial World Model resolves 11.7B+ primary-source records from 250+ jurisdictions forming the ground truth of global commerce. A Judgment Ontology, encoding over a decade of investigative tradecraft, and Superconductor, an agentic orchestration platform, deliver AI that reasons like an expert analyst, shows its work, and traces every finding to its source. Trusted by U.S. Customs and Border Protection, HM Revenue & Customs, and Fortune 500 enterprises, Sayari is used by thousands of professionals across 35+ countries to secure supply chains and dismantle illicit networks. Headquartered in Washington, D.C., with offices in London, Singapore, Tokyo, and Tel Aviv. POSITION DESCRIPTION This is not a traditional engineering role. As a Forward Deployed Engineer (FDE), you are at the critical intersection of our code, our clients, and their most critical missions. You will be deployed to our most strategic partners, embedding within their environments to solve high-stakes problems that have no textbook answers. You own the "last mile" of our product's impact , ensuring our technology fundamentally transforms how our users confront challenges such as financial crime, supply chain disruption, and threats to national security. You are equal parts engineer, strategist, and operator. One day you might be architecting a data pipeline within a client's cloud environment ; the next, you'll be writing production Python to integrate our API into a proprietary analytics platform; and by the end of the week, you could be briefing a C-level executive, intelligence analyst, or mission director on the outcomes your work has enabled. You thrive on ambiguity, operate with extreme ownership, and are relentless in your pursuit of delivering real-world value. You will act as a vital conduit between the front lines and our core engineering teams, turning you

Here's a summary of the role: Do you love building scalable cloud platforms and solving complex engineering problems with modern technologies? As a Senior Software Engineer at Diligent, you'll design and deliver high-performing , serverless applications that power our global SaaS platform. You'll work extensively with TypeScript, Node.js, AWS, and event-driven microservices, owning services from design to deployment and production monitoring. This is an opportunity to influence technical decisions, mentor engineers, and explore how AI can transform software development and engineering productivity. If you're passionate about cloud-native architectures, distributed systems, and building software that scales to millions of users, we'd love to meet you. Here's a breakdown of what you'll do (not all of it, just the important stuff): Design and build scalable backend services and event-driven microservices using TypeScript and AWS. Develop secure APIs and integrations that power reporting, analytics, and dashboard experiences. Build and maintain serverless solutions using AWS services such as Lambda, EventBridge , SQS, and DynamoDB. Drive engineering excellence through testing, observability, automation, and production readiness practices. Contribute to infrastructure-as-code and CI/CD pipelines using AWS CDK and modern DevOps practices. Mentor engineers, participate in architecture discussions, and champion the use of AI tools to improve development efficiency. These are the essentials you'll need to get an interview: 6-8 years of professional software engineering experience. Strong experience with TypeScript, Node.js, and modern backend development patterns. Hands-on experience building cloud-native applications on AWS. Strong understanding of serverless architectures and event-driven microserv

About Outreach Outreach, founded in 2014, is the only complete agentic AI platform for revenue teams. Outreach infuses agentic AI, conversation intelligence, and assistive AI to power hundreds of use cases across revenue motions. From new logo prospecting to expansions, deal acceleration, driving retention, and forecasting, Outreach AI automates workflows and frees sellers to focus on more strategic conversations and actions. Revenue leaders benefit from connected account visibility, performance insights, and higher forecasting accuracy across every GTM team. World leading enterprise organizations use Outreach to power their revenue teams, including Databricks, SAP, Siemens, and Verizon to name a few. About the Team: Data is at the core of Outreach's strategy. It drives us and our customers to the highest levels of success. We use it for everything from customer health scores and revenue dashboards to operational metrics of our AWS infrastructure, to helping increase product engagement and user productivity through natural language understanding, to predictive analytics and causal inference via experimentation. As our customer base continues to grow, we are looking towards new ways of leveraging our data to deeper understand our customers’ needs and deliver new products and features to help continuously improve their customer engagement workflows. The mission of the Data Science team is to enable such continuous optimization by reconstructing customer engagement workflows from data, developing metrics to measure the success and efficiency of these workflows, and providing tools to support the optimization of these workflows. As a member of the team, you will work closely with other data scientists, machine learning engineers, and application engineers to define and implement our strategy for delivering this mission. Your Daily Adventures Will Include: Key Responsibi

About Outreach Outreach, founded in 2014, is the only complete agentic AI platform for revenue teams. Outreach infuses agentic AI, conversation intelligence, and assistive AI to power hundreds of use cases across revenue motions. From new logo prospecting to expansions, deal acceleration, driving retention, and forecasting, Outreach AI automates workflows and frees sellers to focus on more strategic conversations and actions. Revenue leaders benefit from connected account visibility, performance insights, and higher forecasting accuracy across every GTM team. World leading enterprise organizations use Outreach to power their revenue teams, including Databricks, SAP, Siemens, and Verizon to name a few. About the Team: Data is at the core of Outreach's strategy. It drives us and our customers to the highest levels of success. We use it for everything from customer health scores and revenue dashboards to operational metrics of our AWS infrastructure, to helping increase product engagement and user productivity through natural language understanding, to predictive analytics and causal inference via experimentation. As our customer base continues to grow, we are looking towards new ways of leveraging our data to deeper understand our customers’ needs and deliver new products and features to help continuously improve their customer engagement workflows. The mission of the Data Science team is to enable such continuous optimization by reconstructing customer engagement workflows from data, developing metrics to measure the success and efficiency of these workflows, and providing tools to support the optimization of these workflows. As a member of the team, you will work closely with other data scientists, machine learning engineers, and application engineers to define and implement our strategy for delivering this mission. Your Daily Adventures Will Include: Key Responsibi

Join Truecaller – The place where innovation meets impact! Truecaller's mission is to build trust in communication by making it safer, smarter, and more efficient. Born in Sweden, trusted by the world, and here’s why we stand out: We are trusted by over 500 million active users every month across 190+ countries We identify over 15 billion calls daily, helping users avoid spam and scams We are powered by a team of 400+ employees from 45+ nationalities We always look for people who take initiative, own their work, and keep raising the bar. An entrepreneurial mindset matters here, especially when it turns bold ideas into real actions. We stay collaborative and focused, always searching for smarter paths forward. If you want to make an impact and grow with a team that inspires millions, you’ll fit right in. The role: As a Data Engineer, you will play an important role in the Data infrastructure team, which is responsible for building and maintaining a scalable, robust, self-service analytics platform. What you'll do: Maintaining and improving the ingestion pipeline to reliably deliver billions of events daily in a defined SLA Provide support for all teams in building and optimizing their complex pipelines Work closely with other teams to identify pain points and problems around the platform Develop new tools and frameworks to improve the data platform Work in close collaboration with data scientists and data analysts to help support their work in production Work with vast projects such as building an ML platform and streaming use cases Set up best practices and processes around software and data development What you bring in: 3+ years of experience in data engineering Experience working with an orchestration tool (ex, Airflow) Experience working with a large data set Experience building complex ETL pipelines Experience working with cloud providers such as GCP, AWS, or Azure Strong programming skills in Spark with Scala and Python Experience working with CI/CD tool