Analytical Quality Assurance Director Jobs

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. Project Title Operation Flow Systemization with AI Agents Project Description This internship focuses on supporting the design and development of standardized operation flows through AI-enabled systemization . The intern will develop Python-based automation and AI agents that analyze operational data, identify inefficiencies, and support decision-making in a manufacturing environment. Scope of Work Analyze existing operational and manufacturing workflows to identify systemization opportunities Design and develop AI agents for: Operational flow assistance Alerting and exception handling Bottleneck and inefficiency identification Develop backend logic, automation scripts, and AI workflows using Python Work with MSSQL databases for: Data extraction Transformation and aggregation Integration into AI and analytics pipelines Apply relevant Python libraries, including (exposure expected, not mastery): pandas, numpy – data processing and analysis matplotlib, seaborn, plotly – data visualization scikit-learn – basic machine learning and pattern detection LLM / AI frameworks (e.g., LangChain, LlamaIndex, or equivalent internal AI tools) Collaborate with engineering, planning, and manufacturing teams to translate operational problems into AI-driven solutions Supporti

ROLE: MEDIA ACTIVATION DIRECTOR TEAM: MEDIA LOCATION: TORONTO (HYBRID) COMPANY OVERVIEW At Salt Media , we're on a mission to earn the world's attention. As the media division of Salt XC, we're building a different kind of agency where media, commerce, creative, data and technology work as a single connected team. Our people combine strategic thinking with AI-powered tools, automation and advanced analytics to help some of North America's most recognized brands solve complex business challenges and drive measurable growth. We move quickly, challenge convention, and believe the best ideas come from curious people who are empowered to experiment. If you're looking to do career-defining work alongside smart, ambitious teammates in an environment that's shaping the future of media, we'd love to meet you. ROLE OVERVIEW The Media Activation Director is a data-driven, insights-led media strategist and platform expert with hands-on analytics, reporting, and management experience. The best candidate for this role will be a natural collaborator with strong presentation, organizational, and strategic thinking skills. They have a strong comprehension of the media landscape and a proactive nature combined with a high level of attention to detail. In this role, you'll be on top of current and emerging trends in the world of digital media capabilities and tech offerings. You ideally come with a breadth of experience across clients from different verticals and will be responsible for planning, developing, implementing, and managing the overall media strategy for your clients with your team. In addition, you are responsible for managing, guiding, and training your team. The role will require the right candidate to be highly proficient in media planning, implementation, activation, optimization, reporting, and analysis. This includes understanding online user journey optimizations, a very solid understanding of Google Analytics (tracking and analysis), performance optimiza

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. Snowflake is building the platform that teams rely on to make data useful, reliable, and ready for the age of AI. As customers shift from batch analytics to real-time systems and intelligent applications, streaming is becoming core to how data is produced, consumed, and acted upon. We are seeking a Senior Product Manager to lead Snowflake’s Streaming Platform. This role is at the center of the real-time data shift, defining how data in motion becomes data that teams can trust, analyze, and use to power AI-driven workflows. Streaming is the backbone for modern applications, operational analytics, and Agent to Agent pipelines. If you are passionate about distributed systems, care about craft, and want to work on problems that matter at massive scale, this is a rare opportunity to build something foundational. What You Will Do Product Vision: Own the product direction, strategy, and roadmap for Snowflake’s streaming capabilities. Execution: Translate complex customer problems into clear product bets and successfully shipped features. Engineering Partnership: Collaborate closely with engineering on system design, trade-offs, and execution. User Focus: Spend time with users to understand what is broken, what is missing, and what matters most. Design & GTM: Partner with desig

About the Team The Statsig team at OpenAI builds and operates the experimentation platform that powers product development, measurement, and decision-making across the company. We partner closely with product, engineering, and infrastructure teams to ensure experiments are trustworthy, statistically rigorous, and scalable to the needs of frontier AI products. Our mission is to help teams make better decisions through reliable experimentation. We care deeply about statistical correctness, pragmatic solutions, and building systems that researchers and engineers can trust at massive scale. The team operates at the intersection of experimentation methodology, data infrastructure, causal inference, and product analytics. We are looking for experienced experimentation experts who want to shape the future of experimentation in the AI era. About the Role We are hiring a Staff-level Data Scientist to help lead the evolution of OpenAI’s core experimentation platform. This role is focused on improving the statistical rigor, reliability, and practical usability of experimentation across the company. You’ll work on some of the hardest problems in online experimentation: sample ratio mismatch detection, variance reduction, bias mitigation, metric design, triggered analysis, heterogeneous treatment effects, sequential testing, and experimentation in complex ML systems. You’ll also help translate advanced statistical concepts into pragmatic systems and product experiences that teams can actually use. This is a highly technical individual contributor role with significant influence across methodology, platform architecture, and experimentation best practices. The ideal candidate combines deep statistical expertise with strong systems intuition and hands-on experience building or operating experimentation platforms at scale. In this role, you will: Drive the statistical direction and technical strategy for OpenAI’s experimentation platform Design and improve experimentation methodolo

About the Team At OpenAI, we’re building the connective tissue between our mission and our people. People Innovation Labs is a fast-moving engineering team embedded in the People organization, focused on rethinking how we find and retain the best talent and empower everyone to do their best work. From recruiting to culture, we’re designing systems that give our People Team a significant edge by infusing OpenAI’s models and first-principles thinking into every aspect of our work. Our projects range from greenfield 0-1 products like OpenHouse (our internal knowledge hub) to AI-powered automations and scalable recruiting tools. We’re defining the future of work at OpenAI, creating a blueprint for how AI can supercharge productivity, culture, and innovation. About the Role We’re seeking a Data Engineer to build data-intensive systems that will power People Innovation Labs’ internal products and enable the People Analytics function to do their best work. These data pipelines are crucial for our build-out of people products backed by business systems of record and for ongoing people data analytics. One example of an employee-facing product you’ll help us build is OpenHouse, which serves as a culture and communication hub and an organization-wide front door into all other aspects of People Innovation Labs’ work. OpenHouse and other products in our portfolio are built by full stack product engineers who are deeply curious about culture, recruiting and people development, and want to know everything from the business strategy and metrics down through the code that gets us there. In this role, you will work with People Innovation Labs leadership and software engineers and the People Analytics team to build the data systems that enable this work. In this role, you will: Design, build and manage people data pipelines, ensuring all data is seamlessly integrated into our Databricks warehouse. Develop canonical datasets to track key people metrics and People Innovation Labs produc

The Internal Data team is on a mission to power data-informed decisions and applications across MongoDB, oriented around the business areas of Customer, Product, Finance, and Employee. We build and scale the data products MongoDB employees rely on every day, including data pipelines, datasets, analytics, APIs, ML models, and frameworks that form the backbone of our internal data ecosystem. We treat data as a product. That means applying the same rigor, user focus, and outcome orientation to internal data that MongoDB brings to its external-facing platform and products. As MongoDB scales, our financial data footprint has grown exponentially. You will inherit the challenge of providing the focus and product management needed to transform complex, high-volume consumption data into clean, compliant, and near-real-time financial products; moving our Finance teams away from manual workflows and toward automated, AI-driven forecasting. We are looking to speak to candidates who are based in NYC, Austin, Palo Alto, or San Francisco for our hybrid working model. What You'll Do Drive the end-to-end product vision, strategy, and roadmap for critical data products that power company-wide financial planning, forecasting, spend efficiency, and operational rigor Navigate ambiguity and shape requirements by partnering deeply with Finance leadership to unpack complex, unformed business problems. Proactively translate high-level financial strategies into concrete data requirements, technical frameworks, and user stories Lead cross-functional squads to design, build, and deploy robust pipelines, datasets, dashboards, APIs, and frameworks. Champion underlying data management tools that serve as the foundational engine for AI and BI across the enterprise Act as the ultimate advocate for the voice of the data consumer. Proactively audit user workflows, enforce data trust, and relentlessly push for the right strategic technical solutions over temporary, ad-hoc fixes Ruthlessly prioritize t

Overview: We are looking for a Senior Data Engineer with deep expertise in Lakehouse architecture, real-time data streaming, cloud data infrastructure, and microservices development on Azure Kubernetes Service (AKS). You will play a central role in designing and delivering next-generation data pipelines, BI solutions, AI/ML platforms, streaming APIs, and scalable microservices that power Guidepoint's research and analytics products. This is a high-impact, hands-on engineering role. You will work closely with data architects, data scientists, analysts, frontend engineers, QA, and DevOps teams to translate complex business requirements into scalable, reliable, and observable data systems. This is a Hybrid role from our Pune office. What You'll Do: Data Engineering & Lakehouse Design, build, and maintain ETL pipelines, data ingestion workflows, and table schemas on Azure Databricks to support BI, analytics, and AI/ML use cases Architect and optimize the Lakehouse using Delta Lake on Databricks, ensuring reliability, performance, and cost efficiency Build and support data pipelines from business applications such as Salesforce, NetSuite, and other enterprise systems Develop and maintain Knowledge Graph models, entity relationship structures, and NLP-based insight pipelines Maintain data governance, data privacy standards, and compliance best practices throughout the data lifecycle Perform root cause analysis on data and processes to identify opportunities for improvement Collaborate with data architects, scientists, and business consumers to populate and optimize the data warehouse for reporting and analytics Microservices & AKS Development Develop and support scalable web APIs and microservices using Python and Azure Platform Services Build new applications, services, and platforms; optimize existing solutions and refactor legacy components using modern, scalable architec

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. JOB PROFILE • Identify, diagnose and resolve assembly process related problems • Coordinate and execute process, equipment and material evaluation / optimization initiatives and implement changes at process step • Lead / participate in continuous yield improvement and cost reduction activities • Validate and fan out new process baseline qualified, including new process, tools and/or materials for new product introduction • Support site to site portability • Develop and apply automation, data analytics, and AI-assisted approaches • Serve as a technical interface between manufacturing, engineering, and system or data teams 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/

Role summary Scale’s Operations Planning Team sits at the intersection of Engagement Management (EM), GenAI Delivery, GTM, and Growth Ops. The Planning TPM reduces friction between customer requirements and delivery by centralizing planning, standardizing reporting, and driving consistent process execution across accounts. As a TPM on Planning you will own program-level planning and systems workstreams that translate demand into reliable production plans, validate staffing, and ensure opportunities move through ingest accurately. This role combines program management, operational rigor, analytics literacy, and strong stakeholder management, with the goal of making account planning predictable, auditable and scalable. This is a role designed to build deep account knowledge: each Planning TPM will ultimately be assigned to support 1–2 priority accounts to develop the context and relationships required to drive lasting operational improvements and more accurate planning and forecasting. What you’ll own (key responsibilities) Demand Forecasting Ensure project-level customer demand is captured accurately, consistently and at the right level of granularity. Own day-to-day monitoring and execution of Production Plan and Opportunity Forecast; act quickly on demand changes. Partner with Supply Ops to review the Production Plan weekly (PP, TCD, historical productive hours) and drive forecasting accuracy and adjustments. Surface forecast risks and coordinate tactical interventions through the Ops Planning leads. Staffing & Resource Planning Create/validate staffing requests and communicate staffing changes to Delivery teams, STOs and EMs. Monitor account-level FTE budgets and employee spend; contribute to cost/benefit analysis of staffing vs. revenue. Stress-test staffing scenarios to provide early warnings on headcount risks and to inform hiring / reallocation decisions. Validate staffing tracking accuracy weekly; identify and correct discrepancies in project-level

About the Team Like every team at OpenAI, the Marketing team contributes to our broader mission of ensuring responsible and widespread adoption of artificial intelligence. With that aim in mind, we are responsible for developing and executing strategies that drive awareness, engagement, and usage for OpenAI’s products and platform amongst our core audiences. Our focus extends beyond just promoting product features; we aim to provide valuable insights and resources that help our users make the most out of AI technologies. The Marketing Insights & Analytics team aims to understand the markets, audiences, behaviors, attitudes and needs to shape outreach strategies and inform product and business decisions. We’re the strategic partner that discovers insights, specifically: foundational understanding, marketing strategy, thought leadership, measurement and tracking. About the Role You will be the Market Research Lead that translates insights into actionable marketing plans and executions, drive business results, and orient the team towards strategic thinking to drive brand outcomes. This is critical as we hope to reach millions of users and businesses worldwide. This role can be based in San Francisco, CA or NYC, NY utilizing a hybrid work model (3 days per week in-office). In this role, you will: Play an integral part of Marketing and be a strategic partner to brand, product marketing, creative, product and beyond. Design, execute, and deliver high-impact research using mixed methods. Work on a diverse portfolio of business challenges - how do we reach the next billion people, how do we grow internationally, how do we position our suite of products, and how do we ship joy to our customers. Translate business questions into research plans. Translate data into clear, compelling narratives. Develop deep empathy for developers, builders, and technical decision-makers, understanding their workflows, motivations, and pain points across the lifecycle Shape go-to-market str

About Us: Paytm is India’s leading payments Super App, offering consumers and merchants a wide range of financial services. A pioneer of the mobile QR payments revolution, Paytm’s mission is to bring half a billion Indians into the mainstream economy through technology-led financial inclusion. Paytm Money is the wealth-tech arm of Paytm, enabling users to invest in mutual funds, equities, and derivatives seamlessly. Owned by One97 Communications, founded by Vijay Shekhar Sharma, the company is headquartered in Noida and backed by leading global investors. Role Overview: We are looking for an experienced Performance Marketing leader to drive scalable and efficient user growth for Paytm Money within the Paytm ecosystem. This role will own the end-to-end paid growth charter across mutual funds, equities, derivatives and MTF with a strong focus on acquisition efficiency, funnel optimization, and ROI-driven scaling. Sitting at the intersection of marketing, analytics, and product, this role will play a critical part in accelerating new user acquisition, improving activation rates, and maximizing lifetime value across investment products. Key Responsibilities: 1. Performance Marketing Strategy & Ownership: * Own and drive the performance marketing strategy across channels (Google, Meta,, programmatic, OEMs). * Manage large-scale acquisition budgets with a strong focus on ROI, CAC, and payback periods. * Scale user acquisition across mutual funds, equities, and derivatives segments. 2. User Acquisition & Funnel Optimization: * Build and optimize full-funnel campaigns—from awareness to conversion (app installs, KYC completion, first trade/investment). * Improve conversion rates across onboarding journeys (demat account opening, SIP setup, trading activation). * Continuously refine targeting, creatives, and landing experiences. 3. Data-Led Growth & Experimentation * Leverage analytics frameworks (A/B testing, attribution modeling, cohort analysis) to drive decision-

Role Overview The Area Collections Manager will be responsible for managing end-to-end collections across bucket segments, driving resolution strategies, ensuring portfolio health, and leading large on-ground and tele-calling teams. The role requires strong expertise in delinquency management, compliance, analytics, and team leadership. Key Responsibilities 1. Bucket & Portfolio Management ● Manage collections across delinquency buckets (0–30, 31–60, and higher DPD segments) ● Improve resolution rates in both early and late buckets ● Focus on non-starter and delinquent accounts to prevent roll-forward ● Drive collection efficiency and overall portfolio health ● Monitor daily performance and ensure adherence to CAPE norms 2. Tele-Collections Management ● Handle soft delinquency buckets (0–30 & 31–60 DPD) through tele-calling strategies ● Design and optimize calling patterns based on customer risk profiling ● Improve dialer efficiency, call connect rates, and campaign performance ● Maximize early-stage resolutions to prevent migration to hard buckets 3. Field Collections & Risk Control ● Ensure strong field discipline (app usage, visit tracking, audit trails) ● Drive legal escalation for critical/high-risk cases ● Conduct audits to identify and mitigate portfolio risks ● Maintain strong governance and control mechanisms 4. Team Leadership & Vendor Management ● Lead large teams including Collection Managers, Team Leaders, and Executives ● Manage third-party/vendor collection agencies ● Allocate portfolios and set bucket-wise targets ● Conduct daily huddles, reviews, and performance tracking ● Coach teams on negotiation, objection handling, and resolution strategies 5. Target Achievement & Performance Delivery ● Drive monthly collection targets and improve resolution ratios ● Enhance PTP (Promise to Pay) conversion and kept rates ● Focus on First-Time Delinquent (FTD) customers to reduce future NPAs ● Ensu

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. We're hiring a RevOps Manager to own variable pay and quota-setting across our GTM organization, automate the majority of this cycle, and support/automate other RevOps functions - from analytics and forecasting to process improvement and tooling. Who You Are Required: 3+ years in revenue operations, sales operations, sales compensation, finance, or a closely adjacent function, with hands-on ownership of sales comp work Daily working fluency with AI tools (Claude, Cursor, ChatGPT, n8n, Replit, or similar) At least one shipped agentic workflow, internal tool, or skill that took real work off your plate or someone else's, with specifics on what it does and what it saves Comfort directing AI to write SQL and validate outputs against source data. Independent SQL fluency is a plus Cross-functional working style with Finance, Legal, and Sales leadership Judgment under pressure during compressed close windows Nice to Have: Experience designing or improving quota-setting methodologies Audit support experience, with a habit of flagging issues in comp data, plan mechanics, or payouts before they escalate Familiarity with usage-based comp plans and the attribution challenges they create Experience with commission management platforms Exposure to Salesforce data model, dbt, and BI tooling (Mode, Looker) Experience leading or co-leading an annual comp plan redesign What You'll Do AI & Agentic Automation Translate the existing SQL-and-spreadsheets comp process into agents, skills, and workflows so

A bout the Team Our sales and success teams are the heart and soul of DoorDash, helping us partner with top merchants (think restaurants, grocers, convenience stores, retailers) across the country to grow their revenue and help them operate even better. As DoorDash grows both in scale and scope of offering, the strength of our sales engine and organizational structure must grow with it. We are looking for a Manager level in Sales Strategy and Operations to 1. Develop strategic plans in retaining and growing partnerships at scale, 2. Leverage data tools (e.g. SQL) to help enhance sales productivity in targeting and closing the most valuable partnerships. You'll work among our sales, partner management, operations, product, and analytics teams to build the merchant foundation About the Role Within this job posting, we’re hiring for roles on the following team(s): Long-Tail: We are looking for a Sales Strategy Manager to build and execute the Long-Tail Emerging Bets strategy for our Global Sales Vendor organization. You will work closely with internal stakeholders (Sales, Sales S&O, Finance, and more!) to retain and grow Merchants at scale. You will report into the Manager of Revenue Strategy and Operations in our Merchant organization. You’re excited about this role because you’ll… Contribute to post-sales strategy for our top company priorities. This team sits at the nexus of both scaled initiatives and innovative bets at DoorDash focused on catapulting our restaurant partners’ growth. This role will help to develop a strategic vision for SMB Emerging Bets sales strategy, aligning it with DoorDash's overarching business goals. Drive operational excellence in reporting cadences, rigorous pipeline tracking, and sales productivity – leading end-to-end ideation to execution through data-driven insights. Partner with our cross-functional teams to expand and elevate our offering. To retain, optimize, and grow SMBs, this role

About Backblaze Backblaze provides reliable, high-availability cloud storage trusted by consumers, SMBs, enterprises, and developers in over 150 countries. Backblaze B2 Cloud Storage supports data-intensive workloads including backup, media, analytics, and modern AI pipelines. Our teams focus on building secure, durable, scalable systems with a strong emphasis on application security from day one and protecting customers to keep them safe. But while there is a lot to celebrate in our past, there is almost as much opportunity ahead of us. About the Role We are seeking an Application Security Engineer to improve application security across the software used to enable Backblaze B2 Cloud Storage and Computer Backup. The primary role is to build security into how the product is used, how data is stored and how customers can use it. This role will require development skills and application security knowledge to build security into the product and new features. Leveraging AI is key. This is a hands-on role that requires application development knowledge. This role is expected to know and use the latest AI to help with both development and security. The primary requirements include; development in common web languages, application security and AI tool usage. Leverage AI tools and software for Building new and maintaining existing software security features Meeting evolving software security needs in existing software Developing new components as needed Perform security assessments and code reviews on internal and external customer-facing applications Work closely with engineers to remediate security vulnerabilities using AI tools Develop security automation and tooling to improve security Support bug bounty program and vulnerability handling Investigate newly reported vulnerabilities Determine ways to remediate them Provide guidance to engineering based on known vulnerabilities found in existing applications Understanding cryptography and secure authentication Knowled