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Analytical Quality Assurance Director Jobs

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

EC
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About Energy CX: Energy CX is redefining the energy brokerage industry as the fastest-growing player in the US. By bringing cutting-edge technology, advanced analytics, and innovative solutions, we are disrupting a space that has operated in the dark for too long. Why Energy CX? Entrepreneurial and ambitious culture with a great team oriented environment Fastest growing energy broker in the country One of the fastest growing companies in Chicago Recognized by Fortune and Great Places to work US Named on Inc 5000’s list of America’s fastest growing companies Compensation Year 1 Expected Earnings → $115,000 to $200,000. The expected salary range above may vary based on qualifications and experience. Title: Senior Product Manager, Customer Platform About this Job We're looking for a Senior Product Manager to own our customer-facing energy purchasing and tracking platform during a critical high-growth phase. You'll define and drive the vision for turning that platform into an interactive, data-rich experience — think Bloomberg Terminal or Robinhood — that gives clients real-time visibility and control over their energy purchasing decisions. This is a flagship customer-facing bet, and you'll be the senior product voice shaping it end to end. What You'll Do Own the product roadmap and vision for the customer-facing platform, translating energy purchasing and tracking into an interactive, real-time interface Partner with Engineering, Design, and Quantitative Strategy to define data visualizations, live pricing displays, and interactive tools that make complex energy market data intuitive for clients Gather requirements directly from clients, Sales, and Customer Success to identify what drives engagement and decision-making on the platform Write detailed product requirements and specs, and work closely with engineering to ship features that measurably improve client engagement and retention Define and track success metrics (engagement, retention, feature a

EC
Energy CX
📍 Chicago• Full-time
Just now

About Energy CX: Energy CX is redefining the energy brokerage industry as the fastest-growing player in the US. By bringing cutting-edge technology, advanced analytics, and innovative solutions, we are disrupting a space that has operated in the dark for too long. Why Energy CX? Recession proof industry Uncapped commission with competitive salary Entrepreneurial and ambitious culture with a great team oriented environment Fastest growing energy broker in the country One of the fastest growing companies in Chicago Recognized by Fortune and Great Places to work US Named on Inc 5000’s list of America’s fastest growing companies Compensation Year 1 -> $140,000 Year 2 -> $215,000 Year 3 -> $340,000 Year 4 -> $415,000 Year 5 -> $465,000-$515,000+ The above figures are conservative estimates; commissions are uncapped, and accelerators and other incentives provide the opportunity to earn beyond these amounts. Year 1 and 2 OTEs are flexible and can be adjusted based on experience and overall fit. Title: Account Executive We are seeking Chicago-based Account Executives to work with the largest CRE firms and manufacturers in the country. About this Job As a sales Account Executive, you will play a pivotal role in driving revenue growth by identifying new business opportunities, nurturing client relationships, and closing deals. We're seeking a dynamic AE who can build rapport with prospective clients and articulate a unique value proposition. If you thrive in a results-driven setting and have a passion for hunting down deals, this is the role for you. While leveraging any existing relationships is beneficial, be prepared to engage in proactive prospecting through cold calls and emails. Energy CX believes in an “eat what you kill mentality.” Objectives of this Role Acquire new customers and expand accounts Develop meeting lead and closing ability Gain proficiency in the energy market Daily and Monthly Responsibilities Dri

aigorust
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EC
Energy CX
📍 New York• Full-time
Just now

About Energy CX: Energy CX is redefining the energy brokerage industry as the fastest-growing player in the US. By bringing cutting-edge technology, advanced analytics, and innovative solutions, we are disrupting a space that has operated in the dark for too long. Why Energy CX? Opportunity to be a founding member of the New York office, playing a key role in shaping our NYC presence Recession proof industry Uncapped commission with competitive salary Entrepreneurial and ambitious culture with a great team oriented environment Fastest growing energy broker in the country Recognized by Fortune and Great Places to work US Named on Inc 5000’s list of America’s fastest growing companies On Target Earnings Year 1 -> $150,000 Year 2 -> $225,000 Year 3 -> $350,000 Year 4 -> $425,000 Year 5 -> $475,000 - $525,000+ The above figures are conservative estimates; commissions are uncapped, and accelerators and other incentives provide the opportunity to earn beyond these amounts. Year 1 and 2 OTEs are flexible and can be adjusted based on experience and overall fit. Title: Account Executive We are seeking New York-based Account Executives to work with the largest CRE firms and manufacturers in the country. While this role begins as a remote-first position, you will help anchor our local presence as we prepare to launch our New York City office by 2027. See below for more info on our in office policy. About this Job As a sales Account Executive, you will play a pivotal role in driving revenue growth by identifying new business opportunities, nurturing client relationships, and closing deals. We're seeking a dynamic AE who can build rapport with prospective clients and articulate a unique value proposition. If you thrive in a results-driven setting and have a passion for hunting down deals, this is the role for you. While leveraging any existing relationships is beneficial, be prepared to engage in proactive prospecting thr

aigorust
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O
OpenAI
📍 San Francisco• Full-time• $266K – $445K/yr
Just now

About the Team Data Platform at OpenAI owns the foundational data stack powering critical product, research, and analytics workflows. We operate some of the largest Spark compute fleets in production; design, and build data lakes and metadata systems on Iceberg and Delta with a vision toward exabyte-scale architecture; run high throughput streaming platforms on Kafka and Flink; provide orchestration with Airflow; and support ML feature engineering tooling such as Chronon. Our mission is to deliver reliable, secure, and efficient data access at scale and accelerate intelligent, AI assisted data workflows. Join us to build and operate these core platforms that underpin OpenAI products, research, and analytics. We’re not just scaling infrastructure – we’re redefining how people interact with data. Our vision includes intelligent interfaces and AI-assisted workflows that make working with data faster, more reliable, and more intuitive. About the Role This role focuses on building and operating data infrastructure that supports massive compute fleets and storage systems, designed for high performance and scalability. You’ll help design, build, and operate the next generation of data infrastructure at OpenAI. You will scale and harden big data compute and storage platforms, build and support high-throughput streaming systems, build and operate low latency data ingestions, enable secure and governed data access for ML and analytics, and design for reliability and performance at extreme scale. You will take full lifecycle ownership: architecture, implementation, production operations, and on-call participation. You’ve supported Spark, Kafka, Flink, Airflow, Trino, or Iceberg as platforms. You’re well-versed in infrastructure tooling like Terraform, experienced in debugging large-scale distributed systems, and excited about solving data infrastructure problems in the AI space. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per wee

machine learningartificial intelligenceai
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O
OpenAI
📍 Seattle• Full-time• $347K – $445K/yr
Just now

About the Team The Statsig team within OpenAI builds the experimentation, feature rollout, dynamic configuration, and analytics systems that help OpenAI ship products with speed, safety, and evidence. Our work sits on the critical path for how product, engineering, research, and go-to-market teams learn from real-world usage and make high-confidence decisions. Statsig began as an independent company focused on helping builders move faster through trustworthy experimentation and feature management. After Statsig joined OpenAI, the team began the next chapter: bringing that deep product expertise, customer intuition, and mature platform infrastructure into OpenAI as the experimentation and rollout platform for every product we ship. Today, we support teams across ChatGPT, Codex, model measurement, consumer experiences including ads, business subscriptions, developer products, and the shared infrastructure that connects them. These teams rely on Statsig to safely introduce new capabilities, compare product and model behavior, measure impact, and roll changes forward or back with confidence. We are at a defining moment in the platform journey. OpenAI has the data, product surface area, and pace of innovation to learn faster than almost any organization in the world, but that potential only becomes real if teams can experiment responsibly, measure clearly, and roll out changes safely. Adoption of the platform is accelerating rapidly across the company, and recent SDK and server-side infrastructure work has already produced measurable wins in latency, reliability, memory usage, and compute efficiency for important services. Based out of OpenAI’s Bellevue office, we are a close-knit team that values in-person collaboration, urgency, craft, and impact. We build for other builders, and the best version of this team is one where every OpenAI product team can move faster because the experimentation and rollout layer is dependable, fast, and easy to use. About the Role We are l

artificial intelligenceai
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About the Role: We are looking for proactive and data-driven Talent Acquisition professionals with 4+ years of experience to manage end-to-end recruitment while bringing analytics and strategic insights to our hiring processes. This role balances hands-on recruitment with strategic thinking, helping WIN attract top talent efficiently and effectively. Key Responsibilities: Manage the full recruitment lifecycle across functions, including sourcing, screening, interviewing, and onboarding. Partner with hiring managers to understand talent needs and recommend effective hiring strategies. Develop creative sourcing strategies to attract both active and passive candidates. Post and manage job openings on platforms like LinkedIn and Naukri, ensuring timely and accurate updates. Maintain and manage recruitment workflows in Greenhouse ATS, ensuring accurate candidate tracking and reporting. Track and report recruitment metrics, including time-to-hire, cost-per-hire, source effectiveness, and candidate pipeline health. Analyze recruitment data to identify bottlenecks, trends, and opportunities for process improvement. Support workforce planning with insights on talent availability and market trends. Ensure a seamless and positive candidate experience throughout the hiring process. Required Qualifications: 4+ years of experience in end-to-end recruitment. Hands-on experience with ATS/HRIS systems and recruitment analytics. Strong organizational skills, attention to detail, and ability to manage multiple priorities. Excellent communication and stakeholder management skills. Experience using data and metrics to inform recruitment decisions and improve processes. Familiarity with interview design, assessment frameworks, and structured hiring processes. Must have worked with Product-Based companies. WHAT WE OFFER: Highly inclusive and collaborative culture Opportunity to work closely with India-based and US-based teams Strong focus on learning, ownership, and g

airecruitment
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About the Role: We are looking for proactive and data-driven Talent Acquisition professionals with 4+ years of experience to manage end-to-end recruitment while bringing analytics and strategic insights to our hiring processes. This role balances hands-on recruitment with strategic thinking, helping WIN attract top talent efficiently and effectively. Key Responsibilities: Manage the full recruitment lifecycle across functions, including sourcing, screening, interviewing, and onboarding. Partner with hiring managers to understand talent needs and recommend effective hiring strategies. Develop creative sourcing strategies to attract both active and passive candidates. Post and manage job openings on platforms like LinkedIn and Naukri, ensuring timely and accurate updates. Maintain and manage recruitment workflows in Greenhouse ATS, ensuring accurate candidate tracking and reporting. Track and report recruitment metrics, including time-to-hire, cost-per-hire, source effectiveness, and candidate pipeline health. Analyze recruitment data to identify bottlenecks, trends, and opportunities for process improvement. Support workforce planning with insights on talent availability and market trends. Ensure a seamless and positive candidate experience throughout the hiring process. Required Qualifications: 4+ years of experience in end-to-end recruitment. Hands-on experience with ATS/HRIS systems and recruitment analytics. Strong organizational skills, attention to detail, and ability to manage multiple priorities. Excellent communication and stakeholder management skills. Experience using data and metrics to inform recruitment decisions and improve processes. Familiarity with interview design, assessment frameworks, and structured hiring processes. What We Offer: Collaborative and inclusive work environment. Opportunity to work closely with US leadership and contribute to strategic talent decisions. Focus on learning, growth, and ownership. 100% remote wor

airecruitment
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About the Role: We are looking for a proactive and data-driven Talent Acquisition professional with 4+ years of experience to manage end-to-end recruitment while bringing analytics and strategic insights to our hiring processes. This role balances hands-on recruitment with strategic thinking, helping WIN attract top talent efficiently and effectively. Key Responsibilities: Manage the full recruitment lifecycle across functions, including sourcing, screening, interviewing, and onboarding. Partner with hiring managers to understand talent needs and recommend effective hiring strategies. Develop creative sourcing strategies to attract both active and passive candidates. Post and manage job openings on platforms like LinkedIn and Naukri, ensuring timely and accurate updates. Maintain and manage recruitment workflows in Greenhouse ATS, ensuring accurate candidate tracking and reporting. Track and report recruitment metrics, including time-to-hire, cost-per-hire, source effectiveness, and candidate pipeline health. Analyze recruitment data to identify bottlenecks, trends, and opportunities for process improvement. Support workforce planning with insights on talent availability and market trends. Ensure a seamless and positive candidate experience throughout the hiring process. Required Qualifications: 4+ years of experience in end-to-end recruitment. Hands-on experience with ATS/HRIS systems and recruitment analytics. Strong organizational skills, attention to detail, and ability to manage multiple priorities. Excellent communication and stakeholder management skills. Experience using data and metrics to inform recruitment decisions and improve processes. Familiarity with interview design, assessment frameworks, and structured hiring processes. What We Offer: Collaborative and inclusive work environment. Opportunity to work closely with US leadership and contribute to strategic talent decisions. Focus on learning, growth, and ownership. 100% remote wo

airecruitment
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A Career with Point72's Trading Research Team WHAT YOU'LL DO Build and scale the research-to-trading platform that enables to support the design, testing, and deployment of quantitative strategies from prototype to production Design and implement high-performance analytics and pricing libraries in C++ and Python to support back testing, simulation, and real-time decision making Partner with investment professionals across the global business to translate ideas into robust, production-grade code and reproducible experiments Develop and maintain data pipelines and storage solutions that ingest, validate, and serve large historical and real-time market datasets Deploy, monitor, and operate production services, including automated testing, release processes, and incident response Drive performance and latency optimizations across code paths and infrastructure using profiling and benchmarking techniques Create tooling for experiment management, post-trade analysis, and model validation to measure strategy behavior and market impact Lead and contribute to the technical roadmap, increasing automation, resilience, and scalability of the research infrastructure Mentor junior developers, share best practices for software engineering, and promote a culture of continuous improvement and technical excellence WHAT'S REQUIRED Bachelor’s degree or higher in computer science, engineering, mathematics, physics, or a related quantitative discipline 3+ years of professional software engineering experience building production systems in a collaborative environment Strong proficiency in Python for data analysis and tooling and fluency in modern C++ for performance-sensitive components Practical experience building and querying relational databases or columnar data stores using SQL and hands-on experience with Linux development Proven experience designing and operating production services, including testing, deployment, and monitoring practices Demonstrated ability to profile, debug, and

pythonsqllinux
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About This Role This is not your average Account Executive role. At Sigma, we believe that people are our most valuable resource, and so we relentlessly invest in our team. Account Executives are set up to thrive while generating meaningful pipeline, winning new customers, and directly contributing to the success of our organization. Working with Sigma gives you the opportunity to get in on the ground floor of a high-growth startup. Our Account Executives are crucial for growing our customer base and our company, making this one of Sigma’s most critical roles. This role is based in New York City and will not be remote. Who You Are: A go-getter who is hungry for personal growth and career advancement Someone who understands the power and value of data in driving innovation and business initiatives Someone who is principled, honest, humble, and hard-working What You Care About: Learning from leaders who are dedicated to your success Working in a role you genuinely love with people you enjoy being around Making an impact in the fast-paced world of data Growing your leadership skills for a long and rewarding career You’ll Contribute By: Maintaining, creating, and updating accurate customer, pipeline, and forecast information in Salesforce Using knowledge of the data and analytics space to interact with a diverse set of businesses in consultative sales Owning your sales process — from first call to demo to proposal to proof of concept to contract Working alongside a team of motivated reps on a high-functioning, energetic team Bringing on new customers and developing advocates for Sigma in the business intelligence market Engaging with partners in the data ecosystem to build pipeline or support specific customer needs and initiatives Generating new revenue for a rapidly growing company Your Qualifications: Ideally 2+ years of experience closing deals Experience in the data space (Warehouses, Pipelines, Analytics, etc.) is prefe

pythonsqlartificial intelligence
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Datadog's Digital Experience Monitoring (DEM) group is one of the company's fastest-growing product areas, spanning Real User Monitoring (RUM), Product Analytics, Synthetic Monitoring, Feature Flags, and Datadog Studio, our newest AI-native observability surface. As Director, you will own engineering for one or more of these product areas, with scope shaped by your background and interests, and you will manage 50-60 engineers through a team of Engineering Managers. You'll partner with Senior Directors and product leadership to shape the roadmap, not just execute against it, and you'll help drive AI adoption across engineering tooling, workflows, and product features. This role is based in Paris, one of Datadog's most established engineering hubs, with a clear growth path to Senior Director for the right candidate. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You'll Do: Own engineering for one or more DEM product areas with scope calibrated to your background and strengths Manage 50-60 engineers through a layer of Engineering Managers; this is a manager-of-managers role Shape the roadmap alongside product leadership rather than simply executing against it — push back on, iterate on, and help author the strategy for your area Drive AI adoption across the engineering org, from tooling and workflows to product features and team practices Navigate cross-team dependencies across DEM, APM, Core Platform, AI Platform, and Data Science Build and retain engineering talent in Paris, mentor Engineering Managers toward Director readiness, and participate in the on-call rotation Who You Are: You have directly managed Engineering Managers, not just individual contributors — this is a non-negotiable requirement for the role You integrate

L
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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 building a centralized Pricing, Yield & Compensation function to bring rigor and visibility to how we price inventory, manage programmatic performance, and compensate our Ads and Lyft Business sellers. This is a high-visibility, cross-functional role sitting within the MBA StratOps function and touching Finance, Analytics, Sales, and Accounting daily. The Manager, Pricing, Yield & Sales Compensation will own three interconnected functions: setting and managing CPM floors, rate cards, and margin targets for our direct-sold advertising inventory; overseeing the performance and economics of our Audience Extension managed service; and partnering with Analytics and Accounting to design, calculate, and administer commissions and compensation for sellers across Lyft Ads and Lyft Business. This role requires an operator who is equally comfortable pulling margin reports, running a compensation calculation model, and holding a vendor accountable to a floor price. Responsibilities: Direct Inventory Pricing & Yield Management: Own the Lyft Ads rate card strategy across all direct-sold formats (display, in-app, sponsored placements) and enforce pricing discipline through the order management system, Boostr. Set and manage CPM floors and pricing tiers, and partner with Sales and Ad Ops to evaluate custom deal structures and non-standard pricing requests against margin thresholds. Monitor sellthrough, utilization, and margin by product line, and surface risks and opportunities in weekly and monthly yield reviews. Managed Service Performance Oversight: Serve as the internal owner of our vendor led Audience Extension managed service performance, holding the vendor accountable to agreed CPM targets, margin commitments, and delivery standards. Conduct regular performance reviews of Vendor campaigns,

salesforceExcelaccounting
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S
Snowflake
📍 Selangor, Malaysia• Full-time• Remote
Just now

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. About the Role As a Senior Solution Engineer (Expansion), you will be a strategic technical leader for Snowflake’s enterprise customers & Prospects in Malaysia, with a focus on Telecommunications (Telco) and Financial Services (FSI) sectors. You will partner closely with Account Executives to drive adoption, workload expansion, and multi‑line-of-business growth across your accounts. You will act as a trusted advisor to senior technical and business stakeholders, guiding them on how to use Snowflake as the core of their data, analytics, and AI strategy. This is a field-facing, customer-first role that combines deep technical skills, strong industry context (Telco/FSI), and the ability to design and communicate high‑impact architectures. Key Responsibilities Drive Expansion in Existing Accounts Own the technical expansion strategy for a portfolio of Telco & FSI customers in Malaysia. Identify new workloads, use cases, and lines of business to land on Snowflake (e.g., risk & compliance, customer 360, network analytics, fraud, revenue assurance, real-time personalization). Map business objectives to Snowflake-powered solutions that increase consumption and platform stickiness. Spearhead Technical motion for Customer Acquisition Present Snowflake technology and visio

REMOTEpythonsqlaws
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JT
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Position: Assistant Professor Master of Business Administration (MBA) Department: Management Studies Location: College Campus Key Responsibilities Deliver lectures and practical sessions in MBA subjects such as Marketing, Finance, Human Resource Management, Operations, Business Analytics, and Entrepreneurship. Prepare lesson plans, teaching materials, assignments, case studies, and assessments. Mentor students in academic projects, internships, seminars, and research activities. Evaluate student performance through assignments, presentations, internal assessments, and examinations. Organize workshops, guest lectures, industry visits, and management development programs. Participate in curriculum development, accreditation activities, and departmental administration. Encourage research, innovation, entrepreneurship, and industry collaboration. Perform academic and administrative responsibilities assigned by the Head of Department. Eligibility Qualification: MBA/PGDM with First Class in the relevant specialization from a recognized university or institution. Ph.D. is preferred as per applicable AICTE/UGC norms.

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 F10A Singapore, 1 North Coast Avenue Singapore 757432 Department High Bandwidth Memory Product and Systems Engineering, Industrial Engineering Management Project Title AI-Enabled High Bandwidth Memory Sample Planning and Workflow Optimization Project Description As an intern in the High Bandwidth Memory Product and Systems Engineering Industrial Engineering team, you will participate in a structured project to improve the visibility and planning of High Bandwidth Memory sample workflows through data analytics, dashboard development, and Artificial Intelligence. The project focuses on mapping the end-to-end sample workflow from Die Bank through probe, test, shipment, and the Reliability Lab. The intern will develop an AI-Enabled solution to predict sample arrival and reliability start dates, forecast burn-in resource demand, automate selected notifications, and provide operational insights through interactive dashboards. The internship provides hands-on exposure to semiconductor sample logistics, process documentation, predictive analytics, business intelligence, and workflow optimization. The intern will collaborate with engineering, planning, operations, and information techn

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