Ai Native Qa Automation Engineer Jobs

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. Our Solution Engineering organization is seeking an AI Specialist who can provide hands-on expertise and support while working with technical decision makers and data scientists to design and architect AI solutions built on the Snowflake AI Data Cloud. This is a strategic role that works closely with cross-functional teams, including product, engineering, and the broader field organization to ensure successful execution and customer adoption of Snowflake’s AI & ML solutions. IN THIS ROLE YOU WILL GET TO: Be the technical expert in the room that positions Snowflake’s AI and ML features and value to technical stakeholders at Snowflake’s customers across the Americas. Partner with Snowflake account team teams and customer champions to scope and drive POCs to success and technical wins that prove the value of Snowflake’s capabilities, including executive readouts and business value cases. Collaborate with Snowflake’s product and engineering teams to influence Snowflake’s AI and ML roadmaps based on customer feedback. Publish content that helps the team and company scale beyond your individual efforts, like blog posts, presentations at conferences, or technical collateral like notebooks and demos. Influence, tailor and maintain Sales Engineering AI and ML selling assets, inc

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. The Team The Zscaler Sales and Go-to-Market team is a global group of professionals who are passionate about delighting our customers, nurturing trusted partnerships, and sharing their expertise to guide a secure, cloud-enabled digital future and further cement our position as the world leader in cloud security. Sales, Customer Success, Sales Enablement, Solution Architects, Business Development, Transformation, and Technology Partnerships all work together to demonstrate the power and agility of Zscaler cloud transformation to the world. The Role We are looking for a dynamic and enthusiastic Senior Account Executive (AE) - AI Security to join our Japan based team based in Tokyo to help accelerate growth in the highly competitive world of AI cybersecurity. This is both a customer acquisition and customer management role that combines communication skills, a consultative approach, and business / sales expertise to demo

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role You will build the low-level device runtime that turns compiled programs into efficient, functional and performant execution on OpenAI’s custom AI accelerator. This software will schedule kernel launches, manage device memory and address spaces, coordinate synchronization, and expose reliable abstractions to higher-level runtimes and frameworks. You will work at the boundary of software and hardware, partnering with compiler, kernel, architecture, verification, and silicon teams to define interfaces and validate behavior. You will also use and improve event-based, cycle-accurate simulation to develop runtime capabilities before silicon is available, diagnose performance and correctness issues, and guide hardware-software co-design. In this role, you will: Design and implement the low-level device runtime for OpenAI custom silicon. Build kernel-launch scheduling, command submission, queueing, dependency tracking, and completion handling. Manage device memory spaces, allocation, virtual-to-physical mappings, data movement, and lifetime across concurrent workloads. Implement synchronization primitives, events, barriers, streams, and ordering guarantees that are correct and efficient. Define clean interfaces between the runtime, drivers, firmware, compiler-generated code, kernels, and higher-level execution systems. Use event-based, cycle-accurate simulators to develop, validate, debug, and performance-tune runtime behavior before and after silicon availability. Di

At Dscout, we’re building the most flexible and powerful UX research platform on the market—trusted by the world’s top brands in finance (JP Morgan Chase, Intuit, Charles Schwab, PayPal), healthcare (Aya, Headspace), consumer goods (Keen, Verizon, Target, Northface), and tech (Google, Amazon, Facebook, Meta, Spotify, AirBnB). Our tools help teams deeply understand the humans behind their products, so they can build better ones. We are expanding our smart and driven team and would love for you to join us. AI native product is fundamentally different engineering problem than building deterministic software: the same input won't always produce the same output, and "working" means the agent behaves well across the full distribution of real world scenarios, not that it passes a fixed test suite. We're looking for an Applied AI Engineer with 2-5 years of experience building and shipping AI systems used by professionals at enterprise. You're comfortable working with modern LLM-based systems and agentic workflows, and you know how to turn powerful models into reliable product features. You have strong product judgment and think deeply about tradeoffs between LLM approaches and traditional ML when designing solutions. You care about evaluation, iteration speed, and making sure AI systems actually drive measurable business impact reliably . What you'll do Own the production improvement loop across agent behavior, customer and operator feedback, evaluation, experimentation, and verified business outcomes Instrument agent workflows so model interactions, tool use, decisions, failures, human edits, and downstream outcomes can be understood in context Define meaningful quality standards, representative evaluation datasets, regression coverage, and production monitoring. Investigate why agents underperform across context, knowledge, instructions, tools, routing, guardrails, or workflow design Design and ship targeted behavior improvements, including changes to prompting, cont

Skeletons, lasers, tattoo buses — the Torq brand grabs attention like nothing else in cybersecurity. And we're growing like crazy, backed by Series D funding, 200% employee growth, and 300% revenue growth. Fueling Torq's momentum is our game-changing AI SOC platform, backed by a team and culture that makes Torq one of Forbes' Best Startup Employers in America, and a Business Insider 'startup to bet your career on'. Life at Torq is all gas, no brakes. We're a team of relentless, collaborative go-getters pushing the boundaries of what's possible for security automation. Every role is an essential driver of Torq's success as the AI-native autonomous SecOps platform of choice for security teams across the Fortune 500. About the Role We are looking for an AI-savvy Product Manager to join Torq as we continue expanding and exploring the hottest intersection in the security market: agentic AI and SecOps. The ideal candidate will have both experience in at least one SOC-adjacent domain (threat intelligence, SecOps, hunting, incident response…) and strong understanding of agentic AI. You’ll own parts of Torq’s agentic platform: where agents are managed, how they interact with users, and how they can help SOCs to reduce system-critical metrics and overall threat exposure. What You’ll Be Doing Lead critical parts of Torq’s agentic platform to help drive forward adoption and innovation across the full lifecycle - from UX to prompt engineering Become an expert in Torq’s AI SOC offering and in Torq’s Platform as a whole Represent the customer’s voice inside Torq to ensure we’re staying on the critical path Work closely with Torq’s top-notch engineering teams to deliver product capabilities and stay on top of state-of-the-art AI trends Analyze product data - from classic product analytics to AI evaluations of usage patterns - to proactively bubble up user needs or issues The Ideal Candidate Has 3-5 years of product management experience Possesses a strong understanding

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role As an AI Accelerator Systems Software Technical Program manager at OpenAI, you will help bring our chips/system hardware roadmap to life, navigating an array of technical and partnership challenges. We’re looking for people excited to push the frontiers of computing by navigating technical explorations and are passionate about building. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Manage the end-to-end software development from design to implementation for our AI acceleration systems, working across technical, cross-functional and external stakeholders Lead planning and scheduling of AI system software designs with our strategic partners and vendors Coordinate and lead internal resources and communication for efficient interaction with partners and vendors. You might thrive in this role if you: Have experience as a software technical program manager for data center system products (server, GPU, TPU, networking, storage and so on) taking products from concept to volume in a data center environment ensuring the systems scale with high quality Know end-to-end software development program management techniques from concept, design, production, deployment into the data center Want to help design some of the world’s largest supercomputing systems, working at the edge of complex hardware challenges Enjoy working with and enabling world-clas

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. Summary The AI/ML Flex Solution Engineer (SE) is a high-impact, customer-facing technical role supporting AI/Machine Learning (AI/ML) initiatives across our strategic US Major Accounts. This role is designed for a technical professional who possesses a strong foundation in AI/ML concepts, technologies, and solution architecture, positioning them above a generalist but not necessarily requiring deep specialization (Level 200-300 technical depth). The Flex SE will act as a critical, hands-on technical resource, accelerating customer adoption and success. This role translates business challenges into AI/ML- driven solutions through the rapid development of MVPs and prototypes, supporting our regional SE teams, and driving growth in this strategic area. The AE and SE maintain ownership and ultimate approval over the account strategy. The Flex SE role is designed to be supportive, not to supersede their authority. The RVP should provide prescriptive guidance on which accounts the Flex SE should prioritize, as the RVP possesses the most comprehensive regional overview. Key Responsibilities and Scope Technical Leadership & Solutioning Partner with regional Account Executives (AEs) and Solution Engineers (SEs) to identify, qualify, and develop AI/ML opportunities within USMajor

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. For over 180 years, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. The Senior Product Manager will lead the strategy, development, and management of AI-native products within our portfolio. This role involves driving product vision, market analysis, and cross-functional collaboration to deliver innovative solutions that meet customer needs and align with business goals. The Senior Product Manager will be responsible for overseeing the product lifecycle from ideation through to launch and beyond, ensuring the product’s success in the market.

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 Our Partner Experience team is building an AI-native operating model. We already run a growing set of partner-facing systems: a partner portal, CRM workflows, enablement and certification platforms, and the trackers that connect them. The systems lead on our team owns that foundation — the portal, the data model, and the integrations that keep partner records accurate and flowing. This role is the other half of that build. As our AI Operations Engineer, you'll design, build, and run the agentic workflows that sit on top of those systems: Claude-powered agents and automations that triage partner applications, draft and send partner communications, sync data across tools, surface deal and enablement signals, and take routine operational work off the team entirely. Where the systems lead builds the rails, you build what runs on them. This is a builder role, not an analyst role. You'll ship working automations weekly, own them in production, and continuously expand what the team can do without adding headcount. Key responsibilities: Design and build agentic workflows (using Claude, MCP connectors, and API integrations) that automate core partner experience operations: application triage, onboarding, deal registration, certification tracking, partner communications, and reporting Partner closely with our systems lead to integrate these workflows with the partner portal, CRM, enablement stack, finance systems, and database systems — consuming and writing back to the systems of record rather than creating shadow processes Turn recurring manual work into reliable, monitored automations: define the workflow, build it, test it ag

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. Our Solution Engineering organization is seeking an AI Specialist who can provide hands-on expertise and support while working with technical decision makers and data scientists to design and architect AI solutions built on the Snowflake AI Data Cloud. This is a strategic role that works closely with cross-functional teams, including product, engineering, and the broader field organization to ensure successful execution and customer adoption of Snowflake’s AI & ML solutions. IN THIS ROLE YOU WILL GET TO: Be the technical expert in the room that positions Snowflake’s AI and ML features and value to technical stakeholders at Snowflake’s customers across the Americas. Partner with Snowflake account team teams and customer champions to scope and drive POCs to success and technical wins that prove the value of Snowflake’s capabilities, including executive readouts and business value cases. Collaborate with Snowflake’s product and engineering teams to influence Snowflake’s AI and ML roadmaps based on customer feedback. Publish content that helps the team and company scale beyond your individual efforts, like blog posts, presentations at conferences, or technical collateral like notebooks and demos. Influence, tailor and maintain Sales Engineering AI and ML selling assets, inc

Skeletons, lasers, tattoo buses — the Torq brand grabs attention like nothing else in cybersecurity. And we're growing like crazy, backed by Series D funding, 200% employee growth, and 300% revenue growth. Fueling Torq's momentum is our game-changing AI SOC platform, backed by a team and culture that makes Torq one of Forbes' Best Startup Employers in America, and a Business Insider 'startup to bet your career on'. Life at Torq is all gas, no brakes. We're a team of relentless, collaborative go-getters pushing the boundaries of what's possible for security automation. Every role is an essential driver of Torq's success as the AI-native autonomous SecOps platform of choice for security teams across the Fortune 500. About Torq Torq is the AI SOC platform transforming how enterprises run security operations. By combining a battle-tested hyperautomation engine with agentic AI, Torq lets security teams triage, investigate, and respond to threats at machine speed — moving beyond the limits of legacy SOAR and SIEM. Torq's AI agents act as digital analysts that work 24/7 to triage alerts, investigate threats, and remediate autonomously, freeing human analysts to focus on higher-value strategic work. Torq is defining and leading the AI SOC category, and the market recognition backs it up: Unicorn — closed a $140M Series D at a $1.2 billion valuation in January 2026, bringing total funding to $332M . Gartner — named the "Company to Beat" in AI SOC Agents for Threat Investigation (May 2026). KuppingerCole — named a Leader across all four AI SOC categories : Overall, Product, Innovation, and Market (April 2026). 4.8/5 rating on Gartner Peer Insights. ~300% revenue growth in 2025 , with a global team scaling fast. There's electricity in the air at Torq. We're a dynamic, highly motivated team propelling our customers and partners to new heights through AI-driven security operations. This Professional Services role sits at the front of the fastest-moving category in cybersec

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. How do you make the world's most powerful coding agent for data a delight to use? We are the fastest growing software company at this scale in history and looking to push that to new heights by building the best coding agent in the industry. The Cortex Code (CoCo) team is building the future of coding agents for working with data. See our flagship product in action: CoCo Desktop in Action . As a Frontend AI Principal Engineer, you are the cornerstone of delivering the ultimate user experience. You will be entrusted with the highest level of polish, creativity, and interaction design, pushing the boundaries of what's possible in the most innovative areas of our product. This role offers the unique opportunity to have broad creative license, empowering you to lead and create groundbreaking systems and experiences that marry aesthetics with functionality, making data more accessible and actionable for our customers. AS THE FRONTEND AI PRINCIPAL ENGINEER YOU WILL: Design and build exceptional experiences, ensuring the highest level of polish, creativity, and interaction to solve complex customer problems. Define the architectural vision for the CoCo coding agent platform and ensure consistency of design abstractions across the entire product surface Develop innovative platform

Skeletons, lasers, tattoo buses — the Torq brand grabs attention like nothing else in cybersecurity. And we're growing like crazy, backed by Series D funding, 200% employee growth, and 300% revenue growth. Fueling Torq's momentum is our game-changing AI SOC platform, backed by a team and culture that makes Torq one of Forbes' Best Startup Employers in America, and a Business Insider 'startup to bet your career on'. Life at Torq is all gas, no brakes. We're a team of relentless, collaborative go-getters pushing the boundaries of what's possible for security automation. Every role is an essential driver of Torq's success as the AI-native autonomous SecOps platform of choice for security teams across the Fortune 500. About Torq Torq is the AI SOC platform transforming how enterprises run security operations. By combining a battle-tested hyperautomation engine with agentic AI, Torq lets security teams triage, investigate, and respond to threats at machine speed — moving beyond the limits of legacy SOAR and SIEM. Torq's AI agents act as digital analysts that work 24/7 to triage alerts, investigate threats, and remediate autonomously, freeing human analysts to focus on higher-value strategic work. Torq is defining and leading the AI SOC category, and the market recognition backs it up: Unicorn — closed a $140M Series D at a $1.2 billion valuation in January 2026, bringing total funding to $332M . Gartner — named the "Company to Beat" in AI SOC Agents for Threat Investigation (May 2026). KuppingerCole — named a Leader across all four AI SOC categories : Overall, Product, Innovation, and Market (April 2026). 4.8/5 rating on Gartner Peer Insights. ~300% revenue growth in 2025 , with a global team scaling fast. There's electricity in the air at Torq. We're a dynamic, highly motivated team propelling our customers and partners to new heights through AI-driven security operations. This Professional Services role sits at the front of the fastest-moving category in cybersec

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange™️ platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 160+ public exchanges globally and thousands of private exchanges at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. About the Role The AI revolution is here, and enterprises are racing to adopt GenAI—but they cannot deploy what they cannot secure. Zscaler is seeking an experienced Principal AI Security Specialist to bridge the gap between cutting-edge AI innovation and robust enterprise security. In this highly strategic, field-facing role, you will combine the elite consultative strengths of a Solutions Engineer with deep expertise in LLMs, RAG architectures, and data protection. As our premier technical authority, you will partner with Fortune 500 executives and architects, serving as a trusted advisor to help them confidently unlock the power of AI without compromising their data or infrastructure. If you are a builder, an educator, and a master storyteller who thrives in a fast-evolving market, this is your chance to lead the industry's most critical conversation. What You’ll Do Architect the AI Technical Strategy: Partner w

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 is building a dedicated AI Native Accounts organization focused on partnering with the world's most innovative AI companies. We are seeking an extraordinary Strategic Account Executive to help define how the next generation of AI companies build, scale, and innovate using the Elastic Search AI Platform. This is one of the most strategic individual contributor roles at Elastic. Rather than managing a broad territory, you will own a highly selective portfolio of globally strategic AI-native customers. You will work directly with executive and technical leaders to help solve some of the industry's most complex AI, search, and data challenges while accelerating adoption of the Elastic Search AI Platform. Success in this role extends well beyond revenue attainment. You will serve as a trusted advisor, develop long-term executive relationships, influence product strategy through customer insight, and play a meaningful role in one of Elastic's highest-priority growth initiatives. Location: Texas and West Organizational Scope Each Strategic Account Executive is responsible for a small number of globally strategic AI-native customers. Rather than broad geographic coverage, this organization is intentionally designed around depth of engagement , executive relationships, technical credibility, and long-term strategic partner