Analytical Quality Assurance Director Jobs

About the Role We're looking for a Director of GTM Strategy and Operations to be the operational engine behind our go-to-market team. We know our market — now we need to win it faster. This role is about building the infrastructure, automation, and analytics that compress our sales cycle, increase pipeline velocity, and give leadership the visibility to forecast with confidence. You'll sit at the intersection of sales operations, marketing operations, and revenue intelligence — owning the systems, data, and workflows that turn our GTM strategy into repeatable, measurable execution. This is not a "keep the lights on" role. You'll identify gaps, design solutions, and drive adoption across the team. What You'll Do Revenue Operations & Automation Own and evolve the GTM tech stack — Salesforce, HubSpot, and the surrounding ecosystem — ensuring clean data flow, tight integrations, and minimal manual work Design and implement automation across the funnel: lead routing, handoff workflows, enrichment pipelines, follow-up sequences, and deal stage triggers Build and maintain integrations between revenue tools (CRM, MAP, sequencing platforms, data enrichment, BI) so teams operate from a single source of truth Identify and eliminate process friction that slows deals down — from first touch through closed-won Partner with technical resources to architect scalable RevOps infrastructure; you set the strategy and requirements, others execute the builds Sales Operations & Cycle Optimization Operationalize the sales process — MEDDPICC adoption, stage exit criteria, deal inspection frameworks — so reps are consistent and managers have real visibility Build and maintain pipeline management cadences: weekly reviews, deal health scoring, and escalation triggers that surface risk early Analyze sales cycle data to identify where deals stall, drop, or slow — then build fixes into the process and tooling Partner with Sales leadership on territory management, quota modeling, and capac

About the Team DoorDash is seeking an exceptional Engineering Manager to spearhead a dynamic team with two key focus areas: leveraging merchandising platform to simplify consumer discovery for new use cases, and create more variety of customer experience to attract engagement. This team operates at the intersection of product platform and product experience, driving innovation to solve some of the company’s top priorities. About the Role As the Engineering Manager, you will assume leadership of a versatile full-stack engineering team spanning mobile, web, and backend. Your responsibility extends beyond technical prowess as you will engage in close collaboration with key stakeholders in product development, strategy, operations, design, user research, and analytics. Your leadership will steer a dynamic, data-centric team, swiftly crafting an end-to-end Occasions user experience. This team will serve as the builder of customizable, personalized, and reusable user experiences on mobile and web apps. You’re excited about this opportunity because you will… You will manage a full-stack team with iOS, Android, web, and backend engineers You will directly work with partners in product, strategy & operations, design, user research, and analytics across DoorDash to define the roadmap and vision for the team and deliver immense impact Build an outstanding team by coaching engineers, empowering engineers through delegation, and applying your technical expertise to hold your team to the highest engineering standards Scale the team by developing internal talents and attracting top talents We’re excited about you because… You have a B.S., M.S., or Ph.D. in Computer Science or equivalent You have 7+ years of industry experience, including minimum of 2 years of management experience You have experience managing engineering disciplines across BE + Android + iOS + Web You bring a strong product sense and can be a thought partner with cross-functional peers You have hands-on experi

Beacon Biosignals is transforming precision medicine for the brain, from clinical development to clinical care. For Life Sciences partners, we offer the leading at-home EEG platform for clinical development of novel therapeutics for neurological, psychiatric, and sleep disorders. Our Diagnostics business is building the most comprehensive at-home platform for precision diagnostics, combining EEG and cardiopulmonary signals to deliver reimbursable assessments for sleep and central nervous system disorders. Together, we're changing the way patients are diagnosed and treated for any disorder that affects brain physiology. As a Senior Front-end Engineer, you’ll help power Beacon's mission by building first-class web applications that drive forward new EEG analysis with data analytics capabilities manage clinical studies of novel therapeutics enable physicians to diagnose patients through at-home sleep tests This isn’t just another web app — you’ll be crafting tools that help unlock insights into neurological, psychiatric, and sleep disorders, with the potential to improve lives at scale. This role is 100% remote from anywhere in the U.S. Beacon's robust asynchronous work practices ensure a first-class remote work experience, but we also have in-person office hubs located in Boston and New York. What success looks like As part of our small, mission-driven Web Apps Team, you will: Develop our React/Typescript web applications. Design and implement UX workflows for clinical study management, data analytics, and patient diagnostics. Own the user experience, performance, reliability, and observability of the web apps and features you develop, leveraging feedback from real users in a diverse set of use cases and environments. Partner with product designers and cross-functional teams to develop user-centric capabilities that empower a wide set of user personas, both internally and externally. Help shape the roadmap and technical direction of our web applications. In your first

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 Identity & Integrity organization is looking for software engineers. We are growing our team with people who want to build, improve and incorporate technologies that make the lives of our community more enriched and safe. As an engineer at Lyft, you'll collaborate with teams like product, data science, analytics, and operations on code that empower us to iterate quickly, while focusing on delighting our passengers and drivers. As a Software Engineer in the Identity team, your primary responsibilities will encompass: Lyft’s Login & Signup Experiences: Design and enhancement of our Multi-factor authentication (MFA) experiences. Optimization of verification funnels, including: Phone-based two-factor authentication (2FA) Email verification Identity provider single sign-ons (SSO) Overseeing session management and device validation. Developing OAuth client provisioning and related tooling. Account Security: Act as the frontline defense against fraudsters and phishers aiming to exploit rider and driver accounts through product vulnerabilities. Implement strategies to counteract risks posed by social engineering tactics. Scaling Core Services: Lead the maintenance and optimization of core microservices under the Identity team's purview, essential to Lyft’s diverse service offerings. Manage organizational structures and multi-user management systems. (RBAC, family accounts, AuthZ) Design solutions for high-stakes challenges such as: Preventing unauthorized driving. Thwarting abuse related to recycled phones and their numbers. Striking a balance between stringent customer verification and ensuring minimal user friction. Responsibilities Write well-crafted, well-tested, readable, maintainable code Promote appropriate tech and engineering best practices Implement identity and security protocols to se

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. Location Singapore Department Advanced Device Technology and Systems, Advanced Technology Enablement Dry Etch, F10 Project Title Dry Etch Process Performance Optimization Using Data Analytics and Artificial Intelligence Project Description Dry etch is a critical semiconductor manufacturing process that has a significant impact on product yield, cycle time, and manufacturing capacity. This internship project focuses on applying process engineering, data analytics, and AI-Enabled methods to understand process behavior, identify performance gaps, and develop improvement recommendations. The intern will work with manufacturing, equipment, and process datasets to explore opportunities related to process stability, productivity, and yield. The project will provide practical exposure to dry etch process engineering, industrial data analytics, data visualization, and Artificial Intelligence applications. Objective of the Project Analyze dry etch process and equipment performance using manufacturing data. Identify sources of process variation, performance drift, productivity loss, and yield impact. Develop data-driven recommendations for improving process stability

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. Location Singapore Department Manufacturing Wet Process Engineering (MFG WET) Project Title AI-Enabled Germhold Reduction for Dry Strip Workstation Project Description This internship project focuses on leveraging data analytics and AI-Enabled methodologies to understand and reduce equipment Germholds within the Dry Strip workstation in a semiconductor manufacturing environment. The project aims to identify key factors contributing to Germhold occurrences, develop data-driven insights, and evaluate opportunities to improve workstation efficiency and manufacturing capacity. The intern will gain hands-on experience working with operational datasets, engineering teams, and manufacturing equipment while exploring the application of Artificial Intelligence, machine learning, and predictive analytics within semiconductor manufacturing processes. Objective of the Project Identify key drivers and trends associated with equipment Germholds in the Dry Strip workstation. Apply data analytics and machine learning techniques to uncover opportunities for Germhold reduction. Develop a structured methodology to improve understanding of equipment performance and opera

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. Responsibilities and Tasks: • Establish and improve process condition and technology. • Upgrade process capability and reduce production cost. • Establish and modify process management projects. • Set up process parameters for a variety of semiconductor equipment. • Evaluation, promotion and planning of new equipment / materials. • Abnormal analysis and improvement. • Utilize AI-enabled tools, data analytics and automation technologies to improve engineering productivity, problem solving and decision making. About Micron Technology, Inc. We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all . With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience. To learn more, please visit micron.com/careers All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. To

Req ID: FEQ427R18 Location London, UK The Role As a Solutions Architect, you will lead the technical strategy for your customers — owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy. You are developing a technical specialization (archetype) and are recognized within your team for depth in a specific domain. The Impact You Will Have Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth Lead complex architecture discussions — designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics Serve as a trusted technical advisor to customer architects, engineering leads, and Directors Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions Develop and declare an emerging technical specialization (archetype) — becoming a go-to resource for your team in that domain Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs Influence product direction by providing structured feedback on customer requirements and competitive gaps What We Look For 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role Strong coding proficiency in Python and SQL — you must demonstrate live coding, debugging, and solution-building skills Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialization in one area (e.g., real-time/streamin

About THG Ingenuity THG Ingenuity is a fully integrated digital commerce ecosystem, designed to power brands without limits. Our global end-to-end tech platform is comprised of three products: THG Commerce, THG Studios, THG Fulfilment. Each represents a single, unified solution, overcoming challenges and taking brands direct-to-consumer. Our client portfolio includes globally recognised brands such as Coca-Cola, Nestle, Elemis, Homebase, and Proctor & Gamble. What’s the role? Job Title: CX Apprentice - Data Reports to: CX Analytics and Performance Director Apprenticeship: Data Analyst Level 4 Duration: 12-18 months, subject to learner progress + End Point Assessment Role Purpose To support the Customer Service department in turning core operational data into clear, actionable insight — covering everything from divisional headcount and budgets through to CS performance metrics, carrier claims and returns — helping the business understand performance and identify where the customer experience can be improved. Key Responsibilities Support core CS operational performance reporting across the department, including divisional headcount, budgets and key performance metrics such as CSAT and APH. Collect, clean and validate data from multiple internal and external sources across CX/CS operations, including carrier claims, returns (e.g. ZigZag), post-dispatch communications and customer contact systems. Build and maintain dashboards and reports (e.g. Power BI) tracking department-wide CS metrics, from workforce and budget data to claims and returns performance. Write and run SQL queries to extract and manipulate data from relational databases in support of departmental reporting. Identify trends and patterns across headcount, budget, claims, returns and delivery data, flagging root causes and opportunities for improvement. Support CS leadership and wider teams with ad hoc analysis to inform decision-making, resourcing

Opportunity Overview: We are looking for a detail-oriented Senior Actuarial Support Analyst to join our Actuarial team. In this role, you will be responsible for evaluating cost-saving initiatives that enhance the efficiency and effectiveness of the prior authorization process. The ideal candidate will have extensive experience in healthcare analytics, financial modeling, and prior authorization, along with a strong strategic mindset and data-driven problem-solving skills. The work will be fast-paced and project-based, with evolving needs - requiring curiosity, flexibility, and grace under pressure. At a growing organization, this is a position that offers the ability to make a substantive mark on the company and its partners with exponential growth opportunities. You will be part of the Actuarial team and develop & maintain cost savings models. This is a remote-first role that may require travel to Boston, MA for new hire onboarding and occasional in-person team meetings and company events. What you’ll do: Design and maintain complex financial models to track and analyze cost-saving initiatives, providing regular updates and insights to senior leadership and stakeholders. Perform advanced data analysis to assess prior authorization & claims trends, decision patterns, and cost drivers. Lead the design and development of financial models to quantify the impact of proposed cost-saving initiatives and forecast cost reduction outcomes for business cases. Use statistical and data visualization tools to identify trends, patterns, and anomalies in claims data that may indicate areas for improvement on savings. Prepare detailed and executive-level reports and presentations that summarize cost-saving achievements, project performance, and future cost-saving potential. Act as a trusted advisor to leadership and key internal & external stakeholders, providing strategic insights, recommendations, and guidance on cost-saving strategies. Work closely with clinic

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 seeking a Mixed Methods User Experience Research Intern to join our team, which aspires to elevate the user experience for our drivers and riders across 300+ cities nationwide. You will conduct research studies, as well as participate in studies alongside more senior researchers from which you’ll gain strong mentorship. You will partner with Design, Product Management, Analytics, and Engineering in order to derive deep insights about our users’ behaviors and attitudes, and communicate results and actionable recommendations across the company. Interns contribute to user-facing products, working side-by-side with top User Experience Research team members in the industry while having autonomy from the get-go. Lyft fosters a collaborative environment in the office, so there's always a sharp mind eager to hear about your next idea. So what's yours? Responsibilities: Design and conduct studies across key Lyft product areas -- independently and in conjunction with more senior researchers. You will utilize methods such as ethnographic & field research, diary studies, surveys, user/usability testing (remote and in-person), guerrilla research, and any other methods you find impactful Review, analyze, and communicate qualitative and/or quantitative data to generate tactical and strategic insights, as well as actionable recommendations which drive product innovation and design improvements for users Experience: Currently pursuing a Bachelor's, Master's or PhD degree in Human-Computer Interaction, Anthropology, Design, Psychology, Cognitive Science, or a related field from a university in Canada with a graduation date between December 2027 and Summer 2028 (required) Available during Summer 2027 for an internship in Toronto Extraordinary organizational skills and meticulous eye

About the Job: We are seeking an Engineering Manager to lead LaunchDarkly’s Data Platform team and help shape the high-throughput data backbone behind our most important products. As Engineering Manager, you’ll lead a technically deep team building and operating the systems that ingest, process, and serve the real-time and batch data powering Experimentation, Metrics, Observability, Release Guardian, AgentControl, and Data Export. Working primarily in Go and Python, your team tackles ambitious distributed-systems challenges with technologies including Kinesis, Airflow, Athena, and Iceberg on S3, ClickHouse, Elasticsearch, Terraform, AWS, and Datadog. From evolving real-time analytics and context data to strengthening streaming and batch pipelines, you’ll guide the platform that turns vast volumes of events into reliable, customer-facing product experiences while partnering across Core Engineering and product teams to make data faster, more resilient, and more useful for every LaunchDarkly customer. Responsibilities: Lead and develop a team of backend engineers, providing coaching, feedback, and career growth opportunities Own the delivery, correctness, and resilience of Data Platform's production systems, including Tier 0 ingestion endpoints and the pipelines and data stores behind them Partner with Product Management and consuming engineering teams to scope, estimate, and sequence roadmap work, making tradeoffs in real time Act as the primary communicator and point of contact for Data Platform with engineering leadership, partner teams, and customers Drive operational excellence: reliability, observability, cost, incident response, and on-call health Build team working norms that promote collaboration, reduce silos and bus factor, and keep engineers engaged Participate in hiring to grow the team and raise the engineering bar Qualifications: 8+ years of experience in software engineering, with at least 2 years managing a team of backend or infrastructure engineers E

CSQ427R405 Role overview We are looking for a Lead Learning Product Specialist to own the platform learning experience for Databricks customers, partners, and internal practitioners. You will sit at the intersection of product, UX, and learning science, building the systems that help data and AI teams build skills needed to become successful and confident users of the Databricks platform. You’ll define how users discover, practice, and demonstrate skills across in-product journeys, training, and AI-assisted guidance. You will work closely with engineering, design, curriculum, and go‑to‑market teams to translate pedagogical goals into scalable platform capabilities, from adaptive learning flows and assessments to analytics that prove real skill development. Key responsibilities Define and drive the product vision, strategy, and roadmap for AI‑first learning systems on the Databricks platform, anchored on contextual, in the flow of work enablement and a unified skills infrastructure. Design experiences that surface targeted knowledge precisely when users need it, triggered by real work context (e.g., usage patterns, errors, task types), reducing interruptions and friction. Translate learning and pedagogical goals into platform capabilities such as learner models, skills graphs, progress tracking, adaptive learning paths, assessments, and feedback loops. Partner with UX and content design to create intuitive, embedded guidance and learning patterns that feel like part of the workflow, not separate training destinations. Collaborate with platform and infrastructure teams to ensure learning and skills systems are reliable, secure, performant, and able to serve global enterprise customers at scale. Define and evolve predictive signals and analytics that give proactive visibility into emerging skills and capability gaps, enabling action before they impact business outcomes. Build features and tooling that allow enablement teams to deliver at-scale personalizati

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. We're looking for a Director of Engineering to join our leadership team in AI Functions product portfolio, a hybrid director/principal engineer role at the forefront of AI-powered analytics. Join our Leadership team in AI Functions Product Portfolio. Our mission is to democratize AI by surfacing powerful AI functions directly in SQL for analyzing structured and unstructured data, with minimal configuration. We handle the full AI lifecycle behind the scenes, so data analysts, engineers, and scientists can build data transformation pipelines with AI using the most sophisticated building blocks seamlessly within their existing SQL workflows. The AI Functions product portfolio represents one of the most strategic and impactful product surfaces within Snowflake, bringing together two of the company’s core strengths: its industry-leading ability to process massive volumes of data and its growing capability to make that data AI-ready. By embedding advanced AI and LLM-powered functions directly into SQL, this portfolio transforms Snowflake from a data platform into an intelligent data system—where structured and unstructured data can be seamlessly prepared, enriched, and analyzed using AI at scale. This convergence enables customers to operationalize AI within their existing workfl

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What Is The Role Elastic, the Data Analytics, AI, Search, Observability & Security company; is seeking a dynamic Enterprise Account Executive. To excel as an Account Executive at Elastic, you need a blend of high-level technical curiosity and the gravitas of a value-based seller. Because Elastic isn't just a "product" but a versatile search, observability, and security platform, the role requires moving beyond simple transactions to solving complex data problems. As a dynamic Enterprise Account Executive, you will be an integral part of our growth strategy. You will drive net-new revenue and expansion within Enterprise Accounts in an assigned territory. This is an opportunity for those passionate about empowering companies through cutting-edge search technology and analytics, enabling them to unlock the full potential of their data. What You Will Be Doing Drive Adoption: Fuel the adoption of Elastic’s AI-powered search solutions, Observability and Security solutions within (new) Enterprise accounts while deepening engagement with existing ones. Be a Trusted Advisor: Assist users and customers in harnessing the full power of search analytics to transform data into actionable insights. Domain & cloud acumen: Position Elastic as the Search AI platform of choice by speaking fluently about cloud economics, usage-based pricing, and modern data