Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join The Quality Platform team is at the heart of Airbnb’s mission to deliver a seamless, high-quality experience for millions of hosts and guests. We don’t just find bugs — we build the systems that prevent them. Our team sits at the intersection of Quality Engineering, Infrastructure, and Applied AI . We are evolving how software quality is built by integrating LLMs, intelligent automation, and data-driven systems into the testing lifecycle. You will join a high-impact group of engineers focused on building AI-powered quality systems that scale across one of the world’s most complex codebases. The Difference You Will Make As a Software Engineer , you will play a key role in building and evolving AI-native quality workflows across Airbnb. You will design systems that apply AI directly to the testing lifecycle , helping developers and quality engineers build, validate, and ship high-quality software at scale. In this role, you will: Build AI Agents for the Testing Lifecycle: Design and implement AI agents that support developers and quality engineers across the testing lifecycle — from test case generation and evolution to automation and maintaining test coverage as the codebase changes. Advance AI-Native Quality: Move beyond traditional automation by building systems that continuously adapt test coverage based on code changes and system behavior. Improve Developer and QE Productivity: Identify bottlenecks in testing and CI/CD workflows, and solve them through intelligent automation that reduces manual effort and accelerates feedback loops. Integrate AI into Engineering Workflows: E
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At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. As the People Automation & AI Partner at Vanta, you'll be the hands-on builder embedded in our Recruiting and People teams, designing, shipping, and scaling the workflows, agents, and automations that remove manual work across recruiting and People operations so our team can focus on the work that moves the business. Recruiting is the front door to that talent, and the speed, quality, and consistency of our hiring engine is a top priority for this role. The People team at Vanta is building the infrastructure to hire, develop, and retain world-class talent at scale. We're not just running processes, we're rethinking them. That means bringing in the tooling, AI, and automation capabilities to match the speed and ambition of the company we're building. What you’ll do as a People Automation & AI Partner at Vanta: Design, build, and maintain AI-powered workflows, automations, apps, and agents (Claude, Claude Code, Dust, Zapier) that eliminate manual lift across Recruiting and People operations Own Dust agent architecture for the People team: build and maintain agents, skills, and connectors that support recruiters, coordinators, hiring managers, and People partners across pods Take team-generated concepts and one-off ideas and turn them into durable, documented, adopted production workflows Build and maintain automation across the recruiting funnel, sourcing outreach, interview scheduling and coordination, candidate communication, and offer-to-hire handoffs, as a first-class use case for this role Serve as a technical build partner for Ashby-driven workflows, treating the ATS as a primary automation surface alongside Dust an
About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineering teams, security leaders, and transformation teams to identify valuable opportunities, accelerate technical implementation, and scale what works. Enterprise deployments are defined by complexity rather than any one industry: existing architectures, diverse data environments, security and governance requirements, multiple stakeholder groups, and organization-wide change. We turn lessons from these deployments into better products and reusable patterns for customers everywhere. About the Role As an Enterprise Applied AI Engineer, you will partner directly with leading organizations to design, build, and deploy AI systems that deliver measurable business outcomes. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact—not simply activity or successful demonstrations. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve. In this role, you will: Partner directly with enterprise customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteria. Design, build, and deploy AI systems that solve important customer problems and produce measurable business outcomes. Work hands-on in code to build pr
At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 ClickUp is building the everything app for work so teams can plan, collaborate, and execute in one place. We’re hiring a Mid-Market Account Executive to help growing organisations across EMEA replace fragmented tools, manual handoffs, and workflow blind spots with a more unified way to operate. This role is a strong fit for a consultative seller who can turn high-intent inbound demand into durable revenue, run sharp discovery, and connect day-to-day pain to a clear business case for change. This role matters now because more mid-market teams are actively consolidating software, pushing for clearer visibility across work, and looking for practical ways to adopt AI without adding more complexity. You’ll partner with buyers who are already showing intent through trials, demo requests, and marketing demand, and help them see how ClickUp can become a more scalable operating system for work. Mission Drive new ARR across mid-market customers in EMEA by running disciplined, consultative inbound sales cycles, translating workflow pain into measurable business value, and building repeatable pipeline momentum. What You’ll Do Own new-business opportunities across mid-market accounts in your assigned EMEA region, from first response through discovery, demo, commercial process, negotiation, and close. Convert free trials, marketing-qualified leads, demo requests, and other high-intent demand into qualified pipeline and closed-won revenue. Run strong discovery conversations that uncover process friction, tool sprawl, stakeholder priorities, and the business case for adopting ClickUp. Deliver compelling product demos
About the Job: We are seeking a strategic, results-driven Head of Customer Marketing to own and lead our global customer marketing function. This role has significant influence on shaping brand messaging and positioning for LaunchDarkly as well as influencing customer health and retention. This leader will partner closely with executive leadership and cross-functional teams to turn customer insights and advocacy into measurable business impact. This individual will build and scale our customer advocacy and adoption programs. The ideal candidate will bring a combination of building deep customer relationships within a company as well as experience building repeatable frameworks and enabling both quality and quantity of customer advocacy. They will set the strategy, operating model, and priorities for the function while building strong executive and customer relationships. Responsibilities: Own the global customer marketing strategy and roadmap, aligning programs to company and GTM priorities. Lead our customer storytelling program. Build a steady pipeline of customers who are excited to share stories about how they are solving their biggest business challenges, how they are evolving in the AI-era, and how they use LaunchDarkly as part of their AI SDLC. Support the executive advisory board program in partnership with senior leadership, coordinating logistics, content, and follow-up with customer decision-makers. Source and interview customers (in-person and on camera) to produce customer case studies in the form of written case studies, videos, and quotes. Source and manage customers who speak live alongside LaunchDarkly at both buyer and internal events. Oversee all peer review programs (G2, Peerspot, Gartner Peer Insights, and TrustRadius) to ensure LaunchDarkly maintains leader status on all platforms. Manage and continuously improve advocacy programs and incentive strategies within established budget and policy guidelines, using data to recommend optimizations to
Business Analyst – Retail Energy Location: New York, New York (Hybrid) | Practice Area: Business Consulting | Type: Permanent Support retail energy transformation by translating complex business needs into effective technology solutions. The Role As a Business Analyst specializing in Retail Energy at Capco, you will support clients in delivering transformation initiatives across the energy sector. You will work closely with stakeholders to understand strategic objectives, gather and translate requirements, and bridge the gap between business and technology teams. This role requires strong analytical capability, consulting experience, and deep understanding of retail energy processes. What You’ll Do Facilitate client workshops and meetings to gather, analyze, and document business and functional requirements Develop business requirement documents (BRDs), user stories, and process models to support solution delivery Analyze current and future state processes to identify gaps and recommend improvements Collaborate with stakeholders and technical teams to translate business needs into system solutions Produce high-quality deliverables including reports, presentations, and consulting documentation What We’re Looking For 4+ years of experience as a Business Analyst, ideally within Retail Energy Experience with CIS/Billing, EDI, Customer Care, Sales, or C&I/Mass Market products Strong skills in requirements gathering, process mapping, and stakeholder engagement Experience working in consulting or professional services environments preferred Experience with Complex Billing is a plus Bachelor’s degree in a relevant field such as Business, Finance, Computer Science, or similar Bonus Points For Experience across energy domains such as wholesale, settlements, or utilities Exposure to consulting methodologies such as business case development or process optimization Familiarity with data modeling, business architecture, or basic scripting Experience contributing to re
Scale AI's Advisory practice is the most forward-leaning bet in our go-to-market motion. We're not waiting for clients to hand us a scope — we get in front of the decision, shape the right AI problems before a build begins, and make Scale the obvious partner for what comes next. Advisory is the structured answer to the question enterprises are already asking us: "What should we build, and where do we start?" It's a discovery and scoping phase that runs before delivery — designed to land bigger contracts, drive more predictable execution, and accelerate expansion. By 2027, it will be Scale's default first engagement with new enterprise clients. As an AI Advisory Principal, you lead Scale's Advisory work in your vertical, end-to-end. In pre-sales, you shape and qualify opportunities alongside Account Executives and sell the Advisory phase to clients. In delivery, you're the Directly Responsible Individual on engagements — owning the client relationship, running the discovery and scoping work, and accountable for the outcome. Underpinning both, you build out the vertical point of view — the industry and AI expertise that makes Advisory credible — and, as one of the function's first hires, help build the Advisory motion itself. This is a hands-on role: you do the advisory work, not just manage it. What You'll Own You own the engagement and the vertical — from the first pre-sales conversation through the final readout. Lead engagements end-to-end. You're the Directly Responsible Individual on engagements — owning the client relationship, running workshops, leading the final readout, driving the direction, and accountable for the outcome (use-case selection, SOW quality, delivery). You coordinate and direct the Solutions Engineers, Designers, Tech Leads, and DSGs on the engagement without managing them directly. Sell Advisory in your vertical. You build the approach, lead the Advisory portion of key pre-sales meetings, bring industry roadmap examples from buyer peers, and
Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Pure is looking for a strong Value Specialist that will serve as a vital resource for delivering proposals of Pure Storage’s capabilities matching with customers’ business objectives. The candidate will be responsible for analyzing customer business cases and IT stack and providing client value propositions, business cases and proposals. The ideal candidate will be able to work with a disparate team from Pure via outstanding documentation and deliverables. WHAT YOU'LL DO Client Value Propositions: Develop persona-specific, outside-in value assessments that quantify our impact across key value levers—cost efficiency, revenue growth or protection, sustainability, and risk reduction. Collaborate directly with value beneficiaries to jointly validate and iterate these assessments, aligning on measurable business outcomes and ensuring shared ownership of the expected value delivered. Client Business Case: Produce and maintain the client business case in cashflow and P&L formats throughout the lifecycle of the opportunity. Position and validate business cases with client stakeholders gaining support for the economic proposition. Participate and support in pricing discussions with the client. Standardize business cases around common inputs and outputs to create financial models that can be repeated quickly and easily across accounts. Client Assets: Contribute to the writing and presenting of client value proposi
Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About the Role: Notion is building the collaborative AI workspace teams use to think, plan, and execute. Our partner ecosystem is a key multiplier for our global revenue engine. As our founding Partner Marketing Manager, you’ll build the co-marketing motion with our partners—designing campaigns that show the combined value of Notion + our ecosystem and turning partner enablement into measurable, partner-driven pipeline. You’ll work in lockstep with Partnerships, Product Marketing, and regional sales leaders to ensure partners can tell the Notion story consistently across channels. This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. What You'll Achieve: Set and run Notion’s partner co-marketing strategy across resellers, services partners, and strategic technology/AI partners. Launch end-to-end joint campaigns (e.g., webinars, whitepapers, case studies, digital events) that drive partner-sourced a
Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . We're hiring an Analytics Engineer to join the Compliance Technology team within the Platform organization. This team builds and operates data and detection capabilities that enable Coinbase to meet global BSA/AML and related regulatory obligations at scale, partnering with Compliance, Product, and Engineering to ensure monitoring and investigative controls are effective, measurable, and auditable. You'll build and own end-to-end data pipelines that power compliance detection and decisioning, improving signal quality, defining control performance measurement, and creating scalable tooling that makes compliance data easier to trust and use. What you'll do: Build and maintain curated datasets and data models (e.g., case, alert, entity, transaction, and risk features) that power compliance controls across Transaction Monitoring, EDD/KYC, and Screening systems. Own data quality for compliance datasets by implementing validation checks, monitoring, lineage tracking, and documentation to ensure outputs are accurate, complete, and audit-ready. Partner with cross-functional engineering teams and Compliance stakeholders to close upstream data gaps, standardize instrumentation, and translate control requirements into scalable data structures and feature sets. Drive detection signal quality improvements by analyzing detection outputs, identifying opportunities to reduce non-act
About DevRev At DevRev, we're building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries. About the role We are looking for a Quality Architect/Lead with hands-on experience building quality systems and has deep expertise in building and scaling test automation frameworks.The role requires an individual who applies systems thinking to solving complex problems. They should be able to understand the product from various perspectives and be able to effectively create testing programs that validate not just functionality but performance, reliability and user experience.DevRev is building a next generation AI native product that requires us to build novel test systems for the Agent AI platform. The role is mult-faceted and is going to continuously evolve with time. What you'll do Test Case Design and Documentation Actively use AI and intelligent agents to accelerate test generation, test maintenance, and coverage expansion. Leverage LLMs to convert requirements, user stories, and production incidents into high-quality automated test cases. Reduce reliance on manual test case creation by introducing AI-assisted automation workflows, with human review and ownership. Apply AI to optimize test selection, prioritization, and execution based on risk, code changes, and historical failures. Use AI to assist in identi
Perplexity is revolutionizing how companies get work done. We are seeking an Associate Product Marketing Manager to join our team and serve as the bridge between how our products actually work and how the world learns to use them. You will develop the deepest product understanding on the team and translate it into webinars and education materials that inspire adoption and drive growth. If you have a passion for understanding how things work, thrive in taking something complex and making it simple, and want to build a world-class product education engine that turns new users into power users, this role is for you. Responsibilities Know the product cold. Develop a deeper working knowledge of our products than anyone else in marketing, using every feature the day it ships, building the workflows yourself, and staying close to the teams that built them. Turn complexity into clarity. Transform complex product capabilities into simple, specific, and accurate explanations, defining not just what we built, but how it works, when to use it, and why it matters. Teach at scale. Own product webinars end to end, from content and live demos to delivery and follow-up, spanning onboarding series, feature deep-dives, and use-case walkthroughs. Build the education engine. Create the product education materials our users learn from: how-to guides, demo flows, video walkthroughs, and use-case libraries that make customers materially better at their jobs. Obsess over the user. Maintain a sharp, real-time view of what users misunderstand and where they get stuck, ensuring our education remains grounded in how people actually use the product rather than how we assume they do. Measure outcomes, not just outputs. Tie webinars and education content to tangible activation, adoption, and retention, running lightweight experiments to iterate fast on format, content, and delivery. Get products to launch. Own and coordinate the cross-functional workstreams that take products from built to launch,
FEQ327R342 Location: Auckland At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! The impact you will have: Develop customer engagement strategies in partnership with Account Executive(s) in your designated territory. Coach junior Solutions Architects and teams on use case prioritization and building technical champions. You will influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd party applications, ensuring they are excited by the Databricks vision and solution strategy. Be a 'champion’ for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Data Intelligence Platform. Contribute to Databricks' technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups. Opportunity to continue your development in one of four tracks - technical specialization, industry vertical thought leadership, strategic
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 engineers for 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. 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 data analysis 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. These are internal tools, but they are anything but low-stakes: the speed, clarity, and reliability of this tooling directly determines how quickly Anthropic can identify harmful behavior, make sound enforcement decisions, and feed signals back into model training and safety classifiers. You'll partner closely with policy, operations, data science, legal, and privacy teams to ensure our enforcement systems are effective, accurate, and trustworthy. Key responsibilities Build investigation, review, and enforcement tooling for both first-party and third-party platform surfaces — including case queues, investigation views, decision and audit logging, and account-actioning workflows Develop the platform layer of reusable APIs, data storage, and backend services that lets new review workflows be stood up quickly and safely Stand up and run deployments
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 소개 Snowflake는 에이전틱 엔터프라이즈(Agentic Enterprise) 시대를 이끌어가고 있습니다. 이러한 새로운 시대를 함께 만들어가기 위해, 우리는 모든 분야에서 AI 네이티브(AI-Native) 사고방식을 갖춘 인재를 찾고 있습니다. 단순히 AI 도구를 사용하는 수준을 넘어, AI를 신뢰할 수 있는 협업 파트너로 활용하며 문제 해결과 성과 창출을 가속화할 수 있는 사람을 기대합니다. 우리는 빠르게 변화하는 역동적인 환경에서 겸손한 자세로 협업하고, 실험적인 사고방식을 바탕으로 새로운 기술을 빠르게 검증하며 보다 단순하고 강력한 방법으로 성과를 창출하는 인재를 선호합니다. Snowflake에서 여러분의 역할은 단순히 주어진 업무를 수행하는 것이 아니라, 미래의 업무 방식 자체를 새롭게 정의하는 데 기여하는 것입니다. 포지션 소개 Senior Solution Engineer는 한국 내 기존 엔터프라이즈 고객을 담당하는 전략적 기술 리더 역할을 수행합니다. 주요 담당 산업은 제조산업(Manufacturing) 및 Hi-Tech 부문입니다. 본 포지션은 Account Executive와 긴밀하게 협력하여 고객의 Snowflake 활용도 증대, 워크로드 확장, 그리고 다양한 사업 부문(Line of Business)으로의 성장을 지원합니다. 또한 고객사의 기술 및 비즈니스 의사결정권자들에게 신뢰받는 기술 자문가(Trusted Advisor)로서, Snowflake를 데이터, 분석 및 AI 전략의 핵심 플랫폼으로 활용할 수 있도록 안내합니다. 이 역할은 고객 중심(Customer-First)의 대외 활동(Field-Facing) 포지션으로, 깊이 있는 기술 역량과 산업에 대한 이해, 그리고 영향력 있는 아키텍처를 설계하고 효과적으로 전달할 수 있는 능력을 요구합니다. 주요 업무 (Key Responsibilities) 기존 고객 계정 활용 확대 (Drive Adoption in Existing Accounts) 한국 내 Snowflake 고객 포트폴리오에 대한 기술 확장 전략을 수립하고 주도합니다. 고객의 비즈니스 목표를 파악하고 이를 Snowflake AI Data Cloud를 통해 실현할 수 있는 워크로드, 활용 사례(Use Case), 사업 부문과 연결합니다. 솔루션 설계, 데모 및 POC 수행 (Solution Design, Demos & POCs) 고객의 아키텍처 및 활용 사례에 최적화된 데모와 기술 스토리를 설계하고 제공합니다. 성공 기준 정의 및 공동 실행 계획 수립을 포함하여, 플랫폼 도입 가치를 검증하고 의사결정 리스크를 최소화하
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