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Analytical Quality Assurance Director Jobs

6,254 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.

PE
Private Employer
📍 Uttar Pradesh, India• Full-time
3mo ago

About the Role We are looking for an experienced Customer Retention & Loyalty Manager to drive customer engagement, repeat transactions, and long-term customer value. The ideal candidate will own retention strategy, loyalty programs, CRM campaigns, and lifecycle marketing initiatives to improve customer stickiness and maximize Customer Lifetime Value (LTV). The role requires a strong understanding of customer behavior, data analytics, CRM platforms, and loyalty frameworks, preferably in Travel, E-commerce, Fintech, or Consumer Internet businesses. Key Responsibilities Define and execute customer retention and loyalty strategies across customer lifecycle stages. Design and manage loyalty programs, membership offerings, rewards, cashback, and engagement initiatives. Drive repeat transactions and improve customer retention metrics through targeted CRM campaigns. Develop customer segmentation and personalization strategies using behavioral and transactional data. Own lifecycle communication across Push, Email, SMS, WhatsApp, and in-app channels. Monitor and optimize key metrics such as Retention Rate, Churn Rate, Repeat Purchase Rate, Engagement Rate, and LTV. Conduct cohort analysis and identify opportunities to improve customer stickiness. Partner with Product, Growth, Marketing, Analytics, and Business teams to launch retention initiatives. Drive A/B testing and experimentation to improve campaign performance and customer engagement. Build dashboards and reporting mechanisms to track loyalty and retention performance. Manage CRM and marketing automation platforms for campaign execution and optimization. Requirements 8+ years of experience in Customer Retention, Loyalty, CRM, Lifecycle Marketing, or Customer Engagement. Experience in Travel, E-commerce, Fintech, Consumer Internet, or Digital Platforms preferred. Proven track record of improving retention, repeat transactions, and customer lifetime value. Hands-on experience with CRM too

sqlgitai
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A
4mo ago

About the Job Do you get excited when a messy, ambiguous business problem finally yields to the right model? Do you think in systems, speak fluently across the technical-business divide, and want your work to do more than sit in a notebook — you want it to actually ship, scale, and matter? With over 2,000 employees, 36 offices on five continents, and world-class clients like Samsung, L'Oréal, and Mattel, Artefact is a consulting firm that transforms data into measurable value and business impact. We've launched in the US with offices in NYC and Los Angeles — and we're looking for a Senior Data Scientist to help define what world-class data science looks like on our founding team. Who We Are Founded and headquartered in Paris, Artefact is a next-generation consulting firm specializing in data, analytics, and AI consulting — dedicated to transforming data into business impact across the entire value chain of organizations. We don't just advise; we build, implement, and deliver results our clients can measure. We have 2,000 employees across 36 offices focused on accelerating digital transformation for some of the world's most recognizable brands. Our state-of-the-art data technologies, lean AI agile methodologies, and cohesive teams of elite business consultants, data analysts, data scientists, data engineers, and digital experts are all laser-focused on delivering real value to every client. We design data-driven solutions tailored to each client's specific needs — always conceived with a business-first mindset and delivered with tangible, measurable results. Our expertise is built on deep AI knowledge acquired through 1,000+ client engagements across the globe. Find out more at artefact.com. What You Will Be Doing As a Senior Data Scientist, you'll be the technical engine behind some of our most complex and consequential client engagements. You'll move fluidly between data exploration, model development, and executive communication — bringing scientific rigor to busi

pythonsqlaws
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About the Team DoorDash’s mission is to grow and empower local economies. By building intelligent last-mile delivery technology for local cities, DoorDash connects people with the local businesses they care about — helping grow those businesses and the communities that support them. The Marketing Technology team is responsible for building and delivering best-in-class tools, data, and processes so teams at DoorDash can effectively acquire new customers, drive retention, and grow new business lines across all our audiences. Our mission is to enable teams to deliver personalized, engaging, and relevant content across all our owned and paid channels. We partner closely with Product, Engineering, Data Science, and Analytics teams to translate Marketing’s technology needs into measurable business outcomes for our Growth and Performance Marketing teams. About the Role We're hiring a Senior Associate, Marketing Technology & Measurement, to be the hands-on builder of the measurement systems that enable our marketing org to move faster and prove impact at scale. With 4+ years of experience, you'll own the measurement foundations – tracking link architecture, postback configurations, and pixel governance across our MMP stack (Singular, Appsflyer), plus paid-media platform integrations (Meta, TikTok, Reddit, Snap, TTD, affiliate, and more). But maintaining that infrastructure is the baseline, not the goal. You'll spend much of your time helping build and improve the tooling and automations, including AI-assisted measurement workflows, that make channel and creative teams faster, streamlining how they launch, optimize, and prove impact. You'll partner with senior team members to turn repetitive measurement work into repeatable systems, so the team spends less time on manual setup and more on insight. This is a technical marketer role requiring deep mobile measurement expertise, strong SQL skills, hands-on integration experience, and comfort building AI-enabled workflo

sqlaiExcel
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SLSQ327R435 Want to help solve the world's toughest problems with big data and AI? This is what we do every day at Databricks. As an Enterprise Account Executive, you will come with an informed and compelling point of view on the Big Data, Advanced Analytics, and AI space which will guide your successful strategy and together with both our teams and partners, allow you to provide exceptional value to our customers within the Insurance sector. Reporting to the Sales Director, you will be focused on the growth of one major Insurance Account The impact you will have: You will provide the industry insight and business creativity required to design and develop unique use cases and solutions that differentiate Databricks within the Financial services/Insurance segment. You will co-develop a business plan, with your team and ecosystem partners, that accelerates existing customer success, identifies and acquires new opportunity and enables you to exceed quarterly/annual usage and booking goals You will motivate a diverse team of big data and AI professionals to implement your business plan You will lead your team, customers, and partners to identify impactful big data and AI use cases whilst proving their value on the Databricks Data Intelligence Platform You will support the broader big data and AI transformation goals of your customers through a combination of strategic partnerships, well-scoped professional services, training, and targeted Executive engagement You will build exceptional value with all engagements to guide successful negotiations to close What we look for: Experience in direct sales of enterprise software platforms to large financial/Insurance enterprises Ownership of executive level relationships in your clients Proven track record of developing new business within existing accounts Extensive experience of working with large complex regulated organisations Knowledge of the Data & AI space with technology sales experience Longevity with pr

awsazureai
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PE
4mo ago

Client Onboarding Manager – Inference & Agentic AI | Paytm (Noida) About the Role Paytm is a pioneer of digital payments in India, serving over 450 million consumers and 45 million merchants across payments, financial services, and commerce. Over the years, Paytm has built deep in-house capabilities across technology, data, and operations to operate at scale with high reliability. Paytm is building a full stack AI platform focussed on Inference and Agents, enabling large enterprises to deploy AI driven automation across sales, service, operations, and analytics. The Inference and Agentic AI team operates as a cross functional unit spanning engineering, product, data science, business management, and sales, and owns the full lifecycle of AI solutions from opportunity discovery to deployment and scale. Key Responsibilities Own client onboarding from sales handover to go-live. Understand client workflows, systems, and integration requirements. Coordinate with Product, Engineering, and Client teams for seamless deployment. Manage onboarding timelines, milestones, and stakeholder communication. Conduct client training sessions and drive product adoption. Track onboarding KPIs, client satisfaction, and implementation success. Gather client feedback and support continuous product improvements. Ideal Candidate 2–5 years of experience in Client Onboarding, Implementation, Customer Success, or Solutions Engineering. Experience in SaaS, Fintech, Enterprise Technology, or AI products preferred. Good understanding of APIs, integrations, CRM systems, and enterprise workflows. Strong project management, problem-solving, and stakeholder management skills. Excellent communication and client-facing abilities. Bachelor’s degree in Engineering, Business, or related field. Location: Noida Why Join? Be part of Paytm’s fast-growing AI business and work closely with enterprise clients to deliver cutting-edge AI-driven automation solutions at scale.

P
PostHog
📍 United States• Full-time
4mo ago

About PostHog Product development used to mean manually writing code, running analysis, diagnosing bugs, and rolling out changes using dozens of tools. PostHog is the only platform that acts like a co-pilot for you (and your AI agents) to do it all – autonomously. We started with open-source product analytics, launched out of Y Combinator's W20 cohort . We've since shipped more than a dozen products , including: PostHog Code , the only AI devtool that understands your product, not just your codebase. A built-in data warehouse , so users can query product and customer data together using custom SQL insights. PostHog AI , an AI-powered analyst that answers product questions, helps users find useful session recordings, and writes custom SQL queries. We are: Product-led . More than 450,000 organizations have installed PostHog, mostly driven by word-of-mouth. We have intensely strong product-market fit. Default alive . Revenue is growing incredibly quickly, and we're very efficient. We raise money to push ambition and grow faster, not to keep the lights on. Well-funded. We've raised more than $180m from some of the world's top investors. We're set up for a long, ambitious journey. We're focused on building an awesome product for end users, hiring exceptional teammates, shipping fast, and being as weird as possible . Things we care about Transparency: Everyone can read about our roadmap, how we pay (or even let go of) people, our strategy, and how we work, in our public company handbook . Internally, we share revenue, notes and slides from board meetings, and fundraising plans, so everyone has the context they need to make good decisions. Autonomy: We don’t tell anyone what to do. Everyone chooses what to work on next based on what's going to have the biggest impact on our customers, and what they find interesting and motivating to work on. Engineers lead product teams and make product decisions . Teams are flexible and easy to change when needed. Shipping fast: Why not n

sqlrestai
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SC
Sigma Computing
📍 Ca And New York• $175K – $220K/yr
4mo ago

Location: New York City or San Francisco - 4 days in office About the Role We are looking for a highly technical Senior Security Engineer who is passionate about protecting data across modern SaaS, cloud, endpoint, and analytics environments. This role is ideal for someone who enjoys solving complex data security challenges through engineering, automation, and AI rather than relying solely on commercial tools. You will help build, scale, and continuously evolve Sigma’s data security capabilities across SaaS applications, cloud platforms, endpoints, collaboration tools, AI systems, and data warehouses. You will be joining a dynamic and highly technical Security Engineering team at Sigma. This is a hands-on engineering role for builders, innovators, and problem-solvers who want to create scalable security solutions that protect the organization's most critical asset - data. What You'll Do Design, build, and maintain security platforms, services, APIs, automation, and internal tooling that protect Sigma's data across cloud, SaaS, endpoint, and analytics environments. Develop scalable solutions for data discovery, classification, governance, access controls, monitoring, and protection using modern engineering practices and automation. Build and mature capabilities around CASB, DLP, DSPM, SSPM, insider risk, and data access governance to reduce the risk of unauthorized access, sharing, or exposure of sensitive information. Build and maintain DLP controls and tooling across multiple cloud, OS environments and decentralized datasets, implementing and tuning prevention capabilities that protect against sophisticated data security incidents. Drive automation across DLP engineering and operations by leveraging LLMs, agentic AI, and an automation-first mindset to streamline workflows, reduce manual effort, and scale data protection coverage. Design and implement security controls across SaaS applications, collaboration platforms, endpoints, and business-critical

pythonsqlartificial intelligence
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Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Principal Price Realization Strategy Manager - Digital & PLG Pricing About the job This is a high-impact role, critical to driving Twilio's pricing strategy and developing key pricing strategic decisions. Your work will directly contribute to accelerating Twilio's business growth while simplifying the purchasing experience for our customers. As the Principal Price Realization Strategy Manager , you will drive the pricing strategy, analytics, and operational execution for our digital and product monetization initiatives. Reporting directly to the Director of Price Realization Strategy, you will serve as a strategic leader responsible for shaping global pricing and discounting frameworks, build and design executive-facing dashboards, and optimizing revenue performance across our entire product portfolio. Responsibilities In this role, you’ll: Architect and execute price optimization models that accelerate business perf

REMOTEartificial intelligenceaiTableau
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D
Datadog
📍 United States• Full-time• $224K – $280K/yr
4mo ago

Datadog's Technical Solutions (TS) organization is one of the largest organizations in the company — spanning Sales Engineers, Technical Account Managers, Enterprise Customer Success Managers, Technical Support Engineers, and Solutions Architects who work with prospects and customers across every stage of their journey with Datadog. Technical Solutions Operations (TSO) exists to make that organization faster, smarter, and more scalable. We build the systems, analytics & programs that give TS teams more leverage — and we measure our success by the business outcomes we drive, not the projects we complete. The programs this team runs touch every function in TS, and the operating model you build will define how that scales. We're looking for a Director of Technical Program Management to lead the TSO Program Management team. This role sits at the intersection of strategy and execution: you'll own the programs that shape how TS operates at scale, lead a team of technical program managers, and serve as a peer to the Directors and VPs who run the teams you support. Your counterparts are leaders overseeing hundreds of customer-facing technical professionals, and your role is to successfully interface with each organization with proactive solutions on how your team can help them be more effective. This is a rare opportunity to lead a function where the output isn't a deliverable, it's organizational capability. If you want to build something that compounds across an entire organization, this is the role. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do Run the PMO as a business impact function. Own the PMO operating model end-to-end, including intake, prioritization, scoping, execution, and impact measurement — with every program directly linked to measurable bu

Role - Onsite Consulting Leader - Presales & Consultative Sales, SCM Practice Location - NY/NJ Team - BC&S Global Practice (Business Consulting & Solutions) Who are we? Sigmoid enables business transformation using data and analytics, leveraging real-time insights to make accurate and fast business decisions, by building modern data architectures using cloud and open source. Some of the world’s largest data producers engage with Sigmoid to solve complex business problems. Sigmoid brings deep expertise in data engineering, predictive analytics, artificial intelligence, and DataOps. Why Join Sigmoid? Sigmoid provides the opportunity to push the boundaries of what is possible by seamlessly combining functional expertise, AI and creativity to tackle intrinsically complex business problems and convert them into straight-forward data solutions. Despite being continuously challenged, you are not alone. You will be part of a fast-paced diverse environment as a member of a high-performing team that works together to energize and inspire each other by challenging the status quo Vibrant inclusive culture of mutual respect and fun through both work and play Roles and Responsibilities: Capture market demand by engaging with clients and internal stakeholders to identify gaps and opportunities across Consumer Goods, Lifesciences, Industrials and other adjacent industry verticals - focussing on E2E Supply Chain, Manufacturing & Procurement Analytics areas Act as a bridge between business and technology, ensuring solutions are aligned with client needs and technical feasibility Lead analysis on PMF (product market fit) and support GTM of the offerings to senior buyer-leadership in Key-Accounts target customer environments Own & drive execution of the proposed Business-Analytics Solutions Products roadmap by demonstrating techno-functional consulting & stakeholder management capabilities in collaboration with Domain Leaders, Data Science &

pythonsqlmachine learning
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P
PostHog
📍 United States• Full-time
4mo ago

About PostHog Product development used to mean manually writing code, running analysis, diagnosing bugs, and rolling out changes using dozens of tools. PostHog is the only platform that acts like a co-pilot for you (and your AI agents) to do it all – autonomously. We started with open-source product analytics, launched out of Y Combinator's W20 cohort . We've since shipped more than a dozen products , including: PostHog Code , the only AI devtool that understands your product, not just your codebase. A built-in data warehouse , so users can query product and customer data together using custom SQL insights. PostHog AI , an AI-powered analyst that answers product questions, helps users find useful session recordings, and writes custom SQL queries. We are: Product-led . More than 450,000 organizations have installed PostHog, mostly driven by word-of-mouth. We have intensely strong product-market fit. Default alive . Revenue is growing incredibly quickly, and we're very efficient. We raise money to push ambition and grow faster, not to keep the lights on. Well-funded. We've raised more than $180m from some of the world's top investors. We're set up for a long, ambitious journey. We're focused on building an awesome product for end users, hiring exceptional teammates, shipping fast, and being as weird as possible . Things we care about Transparency: Everyone can read about our roadmap, how we pay (or even let go of) people, our strategy, and how we work, in our public company handbook . Internally, we share revenue, notes and slides from board meetings, and fundraising plans, so everyone has the context they need to make good decisions. Autonomy: We don’t tell anyone what to do. Everyone chooses what to work on next based on what's going to have the biggest impact on our customers, and what they find interesting and motivating to work on. Engineers lead product teams and make product decisions . Teams are flexible and easy to change when needed. Shipping fast: Why not n

sqlrestai
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PE
4mo ago

Pre-sales Manager, Inference and Agentic AI - Paytm Location: Noida Company: Paytm About Paytm: Paytm is a pioneer of digital payments in India, serving over 450 million consumers and 45 million merchants across payments, financial services, and commerce. Over the years, Paytm has built deep in-house capabilities across technology, data, and operations to operate at scale with high reliability. Paytm is building a full stack AI platform focussed on Inference and Agents, enabling large enterprises to deploy AI driven automation across sales, service, operations, and analytics. The Inference and Agentic AI team operates as a cross functional unit spanning engineering, product, data science, business management, and sales, and owns the full lifecycle of AI solutions from opportunity discovery to deployment and scale. Pre-Sales Manager | Paytm AI Key Responsibilities 🔹 Partner with Enterprise Sales teams to understand client requirements and map them to Paytm AI solutions. 🔹 Conduct discovery sessions, identify business challenges, and create solution recommendations. 🔹 Deliver customized product demos, solution walkthroughs, and Proof of Concepts (POCs) for enterprise clients. 🔹 Act as a technical advisor, addressing product, integration, architecture, and implementation-related queries. 🔹 Create solution documents, proposal inputs, RFP responses, technical FAQs, and sales enablement assets. 🔹 Collaborate with Product, Engineering, Onboarding, and Business teams to ensure seamless solution delivery. 🔹 Capture client feedback and provide insights to improve product capabilities and customer experience. 🔹 Support enterprise deal closures through strong solutioning, stakeholder management, and technical consulting. Ideal Candidate ✔ 3–6 years of experience in Pre-Sales, Solution Consulting, Solutions Engineering, Product Consulting, or Enterprise Technology roles. ✔ Strong understanding of APIs, integrations, SaaS platforms, enterprise applications, and solut

PE
Private Employer
📍 Uttar Pradesh, India• Full-time
4mo ago

Marketing Director- Paytm (Inference and Agentic AI) Location: Noida Company: Paytm About Paytm: Paytm is a pioneer of digital payments in India, serving over 450 million consumers and 45 million merchants across payments, financial services, and commerce. Over the years, Paytm has built deep in-house capabilities across technology, data, and operations to operate at scale with high reliability. Paytm is building a full stack AI platform focussed on Inference and Agents, enabling large enterprises to deploy AI driven automation across sales, service, operations, and analytics. The Inference and Agentic AI team operates as a cross functional unit spanning engineering, product, data science, business management, and sales, and owns the full lifecycle of AI solutions from opportunity discovery to deployment and scale. Role Overview: Paytm is looking to hire a Marketing Director to own B2B marketing, demand generation, product marketing, and sales enablement for Paytm’s Inference and Agentic AI products. This is a managerial role that will lead a team of marketing managers and drive marketing across enterprise clients and mid market merchants. The role will be responsible for building market presence, qualified pipeline, product launches, agentic marketing initiatives, and sales enablement programs across Paytm AI products including Pi Commerce and future AI agents. The candidate will own positioning, messaging, GTM communication, lead generation, demand generation, account engagement, and customer marketing across digital, offline, and agentic channels. The role requires strong B2B SaaS marketing experience, product marketing judgment, demand generation depth, team leadership, and ability to convert AI product capabilities into clear business value. Key Responsibilities Own end-to-end marketing strategy for Paytm AI products across Enterprise and Mid-Market segments. Drive demand generation through digital campaigns, webinars, events, ABM, content, and partne

A
Anthropic
📍 San Francisco• $405K – $485K/yr
4mo ago

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Safeguards team is responsible for ensuring our models and products are developed and deployed safely. We're looking for an Engineering Manager to lead our Review Tooling team, which builds the systems that humans — and increasingly Claude — use to investigate potential harms and take enforcement actions across Anthropic's first-party products and third-party cloud platforms. This is a foundational role: you'll own the tools our safety investigators rely on to understand what's happening on our platforms and act on it, as well as the platform underneath those tools. That platform includes analytics capabilities, privacy-preserving primitives that keep review workflows compatible with our data retention commitments, and a sandbox environment where new review interfaces and workflows can be built and iterated quickly. As model capabilities and usage grow, you'll also drive how we scale review through automation — building systems where Claude meaningfully extends what human reviewers can do, while keeping people in the loop where their judgment matters most. You'll partner closely with policy, operations, data science, and legal teams to ensure our enforcement systems are effective, accurate, and trustworthy. Key responsibilities Lead, grow, and develop a team of engineers building investigation, review, and enforcement tooling for both first-party and third-party platform surfaces Define the vision and roadmap for our review tooling platform, including analytics, privacy-compatible data access primitives, and a sandbox for rapidly developing new review interfaces Drive the team's strategy for scaling review through a

ailogistics
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Sigma’s vision is to create an insight-driven world where people, organizations, and, ultimately, humanity are transformed for the better by data. At Sigma, we are building a cloud-native business intelligence platform that allows users to tap into their biggest databases hosted in the cloud and easily conduct ad hoc analysis to gain business insights in seconds. All without any SQL programming. We are growing the Solution Engineering team and are looking for a Solution Engineer who will help redefine the business intelligence landscape for our customers. You will join a talented team of Solution Engineers with a shared mission to truly make data access easy to drive business results. The Sigma Solution Engineer believes in the power of analytics to transform organizations and uncover new data insights to increase business agility. The Sigma Solution Engineer will act as the trusted advisor to our prospects and customers working in tandem with Sales, Business Development, Product Management, Engineering, and Support. This individual is ultimately responsible for managing and delivering on all activities related to the technical presales cycle. This includes presentations, demonstrations, and hands on development of prototypes. You will align closely with our field Regional Sales Managers (Enterprise) focused on sales in new and existing accounts. What You Will Be Doing Understand and uncover business challenges and issues faced by the customer and be able to run a targeted discovery sessions or workshop Engage with business users to define, create, and showcase solution prototypes Build and present customized demos for customers, trade shows, and webinars Confidently present and articulate the business value of the Sigma platform to all levels within an organization Deliver product, technical, and security related responses on RFPs/RFIs Participate in product, sales, and relevant technology certifications to acquire, maintain, and gro

pythonsqlartificial intelligence
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