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Mission Director Jobs

6,816 active opportunities Β· Updated for October 2026

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

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InMobi
πŸ“ Bengaluruβ€’ Full-time
1mo ago

InMobi Advertising is a global technology leader helping marketers win the moments that matter. Our advertising platform reaches over 2 billion people across 150+ countries and turns real-time context into business outcomes, delivering results grounded in privacy-first principles. Trusted by 30,000+ brands and leading publishers, InMobi is where intelligence, creativity, and accountability converge. By combining lock screens, apps, TVs, and the open web with AI and machine learning, we deliver receptive attention, precise personalization, and measurable impact. Through Glance AI, we are shaping AI Commerce, reimagining the future of e-commerce with inspiration-led discovery and shopping. Designed to seamlessly integrate into everyday consumer technology, Glance AI transforms every screen into a gateway for instant, personal, and joyful discovery. Spanning diverse categories such as fashion, beauty, travel, accessories, home dΓ©cor, pets, and beyond, Glance AI delivers deeply personalized shopping experiences. With rich first-party data and unparalleled consumer access, it harnesses InMobi’s global scale, insights, and targeting capabilities to create high impact, performance driven shopping journeys for brands worldwide. Recognized as a Great Place to Work, and by MIT Technology Review, Fast Company’s Top 10 Innovators, and more, InMobi is a workplace where bold ideas create global impact. Backed by investors including SoftBank, Kleiner Perkins, and Sherpalo Ventures, InMobi has offices across San Mateo, New York, London, Singapore, Tokyo, Seoul, Jakarta, Bengaluru and beyond. At InMobi Advertising , you’ll have the opportunity to shape how billions of users connect with content, commerce, and brands worldwide. To learn more, visit www.inmobi.com Who are we and What do we do? InMobi Group’s mission is to power intelligent, mobile-first experiences for enterprises and consumers. Its businesses across advertising, marketing, data and conten

machine learningaigo
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Ema (Enterprise Machine Assistant)
πŸ“ San Francisco Bay Areaβ€’ Full-timeβ€’ $200K – $270K/yr
1mo ago

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production β€” we ship real systems that run real business processes at scale. Who you are We're looking for an innovative and passionate Machine Learning Engineers to join our team. You are someone who loves solving complex problems, enjoys the challenges of working with huge data sets, and has a knack for turning theoretical concepts into practical, scalable solutions. You are a strong team player but also thrive in autonomous environments where your ideas can make a significant impact. You love utilizing machine learning techniques to push the boundaries of what is possible within the realm of Natural Language Processing, Information Retrieval and related Machine Learning technologies. Most importantly, you are excited to be part of a mission-oriented high-growth startup that can create a lasting impact. You will: Conceptualize, develop, and deploy machine learning models that underpin our NLP, retrieval, ranking, reasoning, dialog and code-generation systems. Implement advanced machine learning algorithms, such as Transformer-based models, reinforcement learning, ensemble learning, and agent-based systems to continually improve the performance of our AI systems. Lead the processing and analysis of large, complex datasets (structured, semi-structured, and

pythonsqlazure
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Ema (Enterprise Machine Assistant)
πŸ“ San Francisco Bay Areaβ€’ Full-timeβ€’ $135K – $200K/yr
1mo ago

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production β€” we ship real systems that run real business processes at scale. Who are you? We are seeking a Software Engineer to join the Ema team. You are passionate about designing and developing maintainable software applications. You are a creative problem solver who thrives in ambiguity and can make abstract problems concrete. Most importantly, you are excited to be part of a mission-oriented, fast-paced, high-growth startup that can create a lasting impact. You Will: Design, develop, and implement exceptional user interfaces for web applications, using modern web technologies such as HTML, CSS, and JavaScript. Collaborate closely with product managers, UX designers, and other stakeholders to gather requirements, own the user experience, develop wireframes, and create high-fidelity prototypes. Develop and maintain API integrations, ensuring seamless communication between front-end and back-end systems, as well as with third-party services. Build, test, and deploy web applications using a variety of web development frameworks, such as React, Angular, Vue.js, or Next.js. Troubleshoot and resolve UI-related issues, guaranteeing a consistent and optimal user experience across multiple platforms and devices. Build end-to-end writing clean, maintainable, and

javascriptpythonjava
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Ema (Enterprise Machine Assistant)
πŸ“ San Francisco Bay Areaβ€’ Full-timeβ€’ $135K – $300K/yr
1mo ago

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production β€” we ship real systems that run real business processes at scale. Who are you? We are seeking an experienced Enterprise Software Engineer to join the Ema team. As an Enterprise Software Engineer, you will be responsible for designing, developing, and maintaining our enterprise software applications. You will work with a cross-functional team of product managers, designers, and developers to deliver high-quality software solutions that meet the needs of our enterprise clients. The ideal candidate has experience building products across the stack and a firm understanding of web frameworks, APIs, databases, and multiple back-end languages. Most importantly, you are excited to be part of a mission-oriented, fast-paced, high-growth startup that can create a lasting impact. You will: Develop and maintain enterprise software applications, including API, data, application, and service development Write clean, efficient, and maintainable code by employing test-driven development process. Build scalable and reliable back-end systems using languages like Go and Python Develop and maintain APIs using REST or GraphQL Integrate multiple enterprise applications and services using a scalable framework like FastAPI Build and maintain data schema using PostgreSQL,

javascriptpythonjava
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Ema (Enterprise Machine Assistant)
πŸ“ San Francisco Bay Areaβ€’ Full-timeβ€’ $160K – $220K/yr
1mo ago

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production β€” we ship real systems that run real business processes at scale. Who You Are We're looking for innovative and passionate Machine Learning Engineers to join our team. You are someone who loves solving complex problems, enjoys the challenges of working with huge data sets, and has a knack for turning theoretical concepts into practical, scalable solutions. You are a strong team player but also thrive in autonomous environments where your ideas can make a significant impact. You love utilizing machine learning techniques to push the boundaries of what is possible within the realm of Natural Language Processing, Information Retrieval and related spaces. Most importantly, you are excited to be part of a mission-oriented high-growth startup that can create a lasting impact. You Will Conceptualize, develop, and deploy machine learning models that underpin our NLP, retrieval, ranking, reasoning, dialog and code-generation systems. Implement advanced machine learning algorithms, such as Transformer-based models, reinforcement learning, ensemble learning, and agent-based systems to continually improve the performance of our AI systems. Process and analyze large, complex datasets (structured, semi-structured, and unstructured), and use your findings to inf

pythonsqlazure
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Ema (Enterprise Machine Assistant)
πŸ“ San Francisco Bay Areaβ€’ Full-timeβ€’ $135K – $200K/yr
1mo ago

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production β€” we ship real systems that run real business processes at scale. Who are you? We are seeking a Software Engineer to join the Ema team. You are passionate about designing and developing maintainable software applications. You are a creative problem solver who thrives in ambiguity and can make abstract problems concrete. Most importantly, you are excited to be part of a mission-oriented, fast-paced, high-growth startup that can create a lasting impact. You will: Develop and maintain enterprise software applications, including API, data, application, and service development Write clean, efficient, and maintainable code by employing a test-driven development process. Build scalable and reliable back-end systems using languages like Go and Python Develop and maintain APIs using REST and gRPC Build and maintain scalable and extensible data schemas using PostgreSQL, Clickhouse, etc. Contribute to front-end interfaces using HTML, CSS, and JavaScript frameworks such as React or Angular Ensure that applications are secure and adhere to industry best practices Continuously improve software development processes and practices Ideally, you'd have: Bachelor's degree in Computer Science or related field. At least 4 years of relevant work experience. Solid back

javascriptpythonjava
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Ema (Enterprise Machine Assistant)
πŸ“ San Francisco Bay Areaβ€’ Full-timeβ€’ $135K – $225K/yr
1mo ago

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production β€” we ship real systems that run real business processes at scale. Who you are We are seeking an experienced DevOps Engineer to join our growing team and play a pivotal role in designing and building our platform and infrastructure as we continue to scale our product and user base. As a part of our team, you will be working in a dynamic, fast-paced environment to ensure the reliability, scalability, and performance of our systems, while focusing on service architecture and deployment, query optimization, distributed systems, data and machine learning infrastructure, and security and authentication. Most importantly, you are excited to be part of a mission-oriented, fast-paced, high-growth startup that can create a lasting impact. You will: Partner with product teams to architect, design, and build the foundational infrastructure for our products. Design, develop, and deploy highly available and scalable Multi-tenant SaaS solutions on any one of the public cloud networks like AWS, Azure and GCP. Leverage technologies such as Kubernetes, Helm, Terraform, and Istio to achieve infrastructure resilience. Drive the automation of infrastructure tasks, from provisioning to configuration management and deployment, utilizing tools like Terraform, Ansible, a

awsazuregcp
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About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production β€” we ship real systems that run real business processes at scale. Who you are We're looking for an innovative and passionate Machine Learning Engineers to join our team. You are someone who loves solving complex problems, enjoys the challenges of working with huge data sets, and has a knack for turning theoretical concepts into practical, scalable solutions. You are a strong team player but also thrive in autonomous environments where your ideas can make a significant impact. You love utilizing machine learning techniques to push the boundaries of what is possible within the realm of Natural Language Processing, Information Retrieval and related Machine Learning technologies. Most importantly, you are excited to be part of a mission-oriented high-growth startup that can create a lasting impact. You will: Conceptualize, develop, and deploy machine learning models that underpin our NLP, retrieval, ranking, reasoning, dialog and code-generation systems. Implement advanced machine learning algorithms, such as Transformer-based models, reinforcement learning, ensemble learning, and agent-based systems to continually improve the performance of our AI systems. Lead the processing and analysis of large, complex datasets (structured, semi-structured, and

pythonsqlazure
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E(
Ema (Enterprise Machine Assistant)
πŸ“ San Francisco Bay Areaβ€’ Full-time
1mo ago

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production β€” we ship real systems that run real business processes at scale. Who are we? Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver and Bangalore, Ema is at the frontier of what Agentic AI can do in production β€” we ship real systems that run real business processes at scale. Who are you? We are seeking a Software Engineer to join the Ema team. You are passionate about designing and developing maintainable software applications. You are a creative problem solver who thrives in ambiguity and can make abstract problems concrete. Most importantly, you are excited to be part of a mission-oriented, fast-paced, high-growth startup that can create a lasting im

javascriptpythonjava
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About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production β€” we ship real systems that run real business processes at scale. The Role You'll be an engineer who builds AI agents in production, sitting close to the customers who depend on them. This is a full-stack engineering job with an unusually short distance between your code and someone's actual workday. You'll write Go and Python, design schemas, build evals, and present your solution to a senior executive at an enterprise - often in the same week. What You'll Do Design and ship production agents. You'll build agents that are mission-critical from day one: embedded in Teams, Slack, intranets, voice lines, and email, taking real actions against SAP, ServiceNow, Workday, and a long tail of systems nobody has heard of. These run at enterprise volume under enterprise scrutiny. Own the full lifecycle. Discovery, build, eval, launch, and the unglamorous months afterward where an agent goes from good to genuinely reliable. Work directly with the people whose problem it is. You'll sit with leaders at global enterprises, extract the process from their heads, and decide what should be an agent, what should be a workflow, and what should stay human. Push your work back into the platform. The best patterns you find in the field become part of Ema's core product

pythonaigo
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About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production β€” we ship real systems that run real business processes at scale. Who are you? We are seeking an experienced Enterprise Software Engineer to join the Ema team in India. As an Enterprise Software Engineer, you will be responsible for designing, developing, and maintaining our enterprise software applications. You will work with a cross-functional team of product managers, designers, and developers to deliver high-quality software solutions that meet the needs of our enterprise clients. The ideal candidate has experience building products across the stack and a firm understanding of web frameworks, APIs, databases, and multiple back-end languages. Most importantly, you are excited to be part of a mission-oriented, fast-paced, high-growth startup that can create a lasting impact. You will: Develop and maintain enterprise software applications, including API, data, application, and service development Write clean, efficient, and maintainable code by employing test-driven development process. Build scalable and reliable back-end systems using languages like Go and Python. Develop and maintain APIs using REST, gRPC or GraphQL Integrate multiple enterprise applications and services using a scalable framework like FastAPI Build and maintain data schema u

javascriptpythonjava
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E(
1mo ago

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production β€” we ship real systems that run real business processes at scale. Who we are Ema is building the world’s largest agentic AI platform to revolutionize enterprise productivity. Our proprietary technology enables companies to delegate repetitive tasks to Ema, the Universal AI employee, unlocking 10x gains in workforce efficiency. Founded by ex-Google, Coinbase, Flipkart, and Okta executives, we bring deep product and scaling expertise to this mission. Our team includes top engineers from Google, Microsoft Research, Facebook, Square, and Coinbase, and alumni of Stanford, MIT, UC Berkeley, CMU, and IITs. We’ve raised over $90M from top-tier investors including Accel, Naspers/Prosus, Section32, SCB10X, Sozo Ventures, Hitachi Ventures, and prominent angels like Sheryl Sandberg, Jerry Yang, and Dustin Moskovitz. Ema is headquartered in Silicon Valley with hubs in London, Vancouver and Bangalore. Role Overview We are seeking a seasoned AI Strategist to lead strategic enterprise accounts and play a pivotal role in shaping high-impact AI engagements. This role will work closely with our Executive Leadership Team, providing leverage on our most important deals and helping drive transformative AI adoption across major enterprises. The ideal candidate has prev

S
Snowflake
πŸ“ South Koreaβ€’ Full-time
1mo ago

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 β€” 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? SnowflakeλŠ” 데이터 혁λͺ…μ˜ μ΅œμ „μ„ μ— μ„œμ„œ 세계 졜고의 데이터 및 μ• ν”Œλ¦¬μΌ€μ΄μ…˜ ν”Œλž«νΌμ„ κ΅¬μΆ•ν•˜κΈ° μœ„ν•΄ λ…Έλ ₯ν•˜κ³  μžˆμŠ΅λ‹ˆλ‹€. 우리의 λ―Έμ…˜μ€ 데이터 μ‚¬μΌλ‘œν™”λ₯Ό ν•΄μ†Œν•˜κ³  'μ „ μ„Έκ³„μ˜ 데이터λ₯Ό μ΄λ™μ‹œν‚€λŠ” 것'을 λͺ©ν‘œλ‘œ ν•˜κ³  μžˆμŠ΅λ‹ˆλ‹€. 저희와 ν•¨κ»˜ κΈ‰μ„±μž₯ν•˜λŠ” 데이터와 AI의 미래λ₯Ό ν•¨κ»˜ λ§Œλ“€μ–΄λ‚˜κ°ˆ 인재λ₯Ό λͺ¨μ‹œκ³ μžˆμŠ΅λ‹ˆλ‹€. Sales Development Representative team’s mission? ν•œκ΅­μ‚¬μ—… ν™•μž₯에 κΈ°μ—¬ν•˜κ³ μž ν•˜λŠ” μ˜μ§€μ™€ 열정을 κ°€μ§„ Sales Development Representative (SDR)λ₯Ό λͺ¨μ§‘ν•˜κ³  μžˆμŠ΅λ‹ˆλ‹€. SDR의 역할은 μ˜μ—… λ‹΄λ‹Ήμž 및 μ—¬λŸ¬ λ§ˆμΌ€νŒ… λ‹΄λ‹Ήμžμ™€ ν˜‘λ ₯ν•˜μ—¬ μ‹ κ·œ 고객을 λ°œκ΅΄ν•˜κ³  νŒŒμ΄ν”„λΌμΈμ„ κ΅¬μΆ•ν•˜λŠ” κ²ƒμž…λ‹ˆλ‹€. λ”°λΌμ„œ 이 ν¬μ§€μ…˜μ€ μ˜μ—… λΆ„μ•Όμ—μ„œ 컀리어λ₯Ό μŒ“κ³ μž ν•˜λŠ” λΆ„λ“€μ—κ²Œ 졜적의 μ„±μž₯ 기회λ₯Ό μ œκ³΅ν•  수 있으며, Snowflake의 기술과 νŒ€μ— λŒ€ν•œ 열정이 있고, 자발적으둜 ν–‰λ™ν•˜λŠ” 것을 μ’‹μ•„ν•˜μ‹œλŠ” λΆ„λ“€μ˜ λ§Žμ€ 관심과 지원을 λ°”λžλ‹ˆλ‹€. The impact you will make: μ˜μ—… λ‹΄λ‹Ήμžμ™€ ν˜‘μ—…ν•˜μ—¬ νƒ€κ²Ÿ κΈ°μ—…μ˜ μš°μ„ μˆœμœ„λ₯Ό μ •ν•˜κ³ , AI λ¦¬μ„œμΉ˜ 툴 및 데이터 μ‹ ν˜Έλ₯Ό ν™œμš©ν•΄ 고객의 λΉ„μ¦ˆλ‹ˆμŠ€ ν˜„ν™©κ³Ό 페인포인트λ₯Ό λΆ„μ„ν•©λ‹ˆλ‹€. κΈ°μ—… ν”„λ‘œν•„(ICP)을 λ°”νƒ•μœΌλ‘œ 고객의 데이터 과제λ₯Ό μ§„λ‹¨ν•˜κ³ , μŠ€λ…Έμš°ν”Œλ ˆμ΄ν¬μ˜ κ°€μΉ˜λ₯Ό μ œμ•ˆν•˜μ—¬ μ‹€μ§ˆμ μΈ λΉ„μ¦ˆλ‹ˆμŠ€ 기회(Qualified Opportunity)λ₯Ό λ°œκ΅΄ν•©λ‹ˆλ‹€. μ „ν™”, 이메일, μ†Œμ…œ λ―Έλ””μ–΄λ₯Ό κ²°ν•©ν•œ 효율적인 μ‹œν€€μŠ€λ₯Ό μ„€κ³„ν•˜μ—¬ 잠재 고객을 κ²€μ¦ν•˜κ³ , μ˜μ—…μœΌλ‘œ μ „ν™˜ κ°€λŠ₯ν•œ κ²€μ¦λœ λ―ΈνŒ…μ„ μ„±μ‚¬μ‹œν‚΅λ‹ˆλ‹€. μ‹ κ·œ 고객 확보 μ „λž΅μ„ 직접 μ‹€ν–‰ν•˜λ©°, λ‚΄λΆ€ νŒ€ 및 νŒŒνŠΈλ„ˆμ‚¬μ™€ ν˜‘λ ₯ν•˜μ—¬ μŠ€λ…Έμš°ν”Œλ ˆμ΄ν¬μ˜ μ‹œμž₯ μ μœ μœ¨μ„ ν™•λŒ€ν•˜λŠ” 데 κΈ°μ—¬ν•©λ‹ˆλ‹€. Who you are: 1λ…„ μ΄μƒμ˜ 자체 μ‹ κ·œ 고객 κ°œμ²™ λ˜λŠ” μ„ΈμΌμ¦ˆ μ—”μ§€λ‹ˆμ–΄ λ“±μœΌλ‘œ 고객과의 직접 μ†Œν†΅ κ²½ν—˜ μ‹ κ·œ κ³ κ°μ‚¬μ˜ λͺ¨λ“  μ§μ±…μžμ™€ μ†Œν†΅ν•  수 μžˆλŠ” μžμ„Έ. 상황에 따라 업무 λ‚΄μš© 및 μš°μ„ μˆœμœ„λ₯Ό 탄λ ₯적으둜 μ‘°μ •ν•  수 μžˆλŠ” λŠ₯λ ₯. 자기 관리 λŠ₯λ ₯ (μ‹œκ°„ 관리, 자발적인 행동 κ³„νš 수립). μ˜μ—… KPIλ₯Ό μ§€μ†μ μœΌλ‘œ λ‹¬μ„±ν•œ 싀적. μŠ€νƒ€νŠΈμ—…μ˜ κΈ‰κ²©ν•œ 상황 변화에 λŒ€μ‘ν•  수 μžˆλŠ” λŠ₯λ ₯κ³Ό μžμ„Έ. λ™λ£Œμ™€ 배움을 κ³΅μœ ν•˜λŠ” νŒ€ ν”Œλ ˆμ΄μ–΄μ˜ μžμ„Έ. μƒˆλ‘œμš΄ μ œν’ˆ 지식을 μŠ΅λ“ν•˜κ³  업무에 ν™œμš©ν•˜λ €λŠ” μžμ„Έ. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge or

S
Snowflake
πŸ“ United Kingdomβ€’ Full-time
1mo ago

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 β€” 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 Data Analytics and AI org (DAA) is actively seeking a Staff Analyst, GTM Analytics to contribute to building our framework to monitor health of business through metrics analysis. Examples of deliverables include building new assets, QBR, performance and ROI analysis and deep dive. You'll be part of a global team transforming GTM data into actionable intelligence, driving real-time ROI optimization across international markets. This role combines technical expertise with strategic leadership to deliver impactful insights that directly influence our go-to-market strategy and business growth. Working with stakeholders in EMEA, you'll champion data-driven decision making and advance our mission of revolutionizing B2B GTM analytics practices. IN THIS ROLE YOU WILL: Be a Strategic Partner to Leadership: Partner with GTM executives to align analytics initiatives with global business objectives β€” driving QBRs, shaping investment decisions, and proactively surfacing insights that move the business, not just inform it. Turn Data into Business Outcomes: Go beyond reporting to influence pipeline generation, conversion optimization, and campaign ROI β€” presenting complex analytical findings to executive stakeholders with clarity and impact. You measure success by decisions changed, n

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Snowflake
πŸ“ Menlo Parkβ€’ Full-time
1mo ago

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 β€” 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. Senior Software Engineer, Warehouse UX About Snowflake 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 do not just use tools; you bring an innate curiosity and treat AI as a high-trust collaborator that is core to how you solve problems, deepen your technical leverage, and accelerate your impact. We look for low-ego individuals who thrive in dynamic, fast-moving environments and operate with an experimental mindset, rapidly testing emerging capabilities to uncover simpler, more powerful ways to deliver results. At Snowflake, your role is not just to execute within a function, but to help redefine how world-class engineering teams build, operate, and innovate. About the Role We are hiring a Senior Software Engineer to join the Warehouse UX pod at Snowflake. This team owns critical warehouse capabilities spanning features, billing, and usability across the warehouse experience. Warehouses are one of the most mission-critical parts of Snowflake’s platform and a major revenue driver for the company, making this an opportunity to work on high-impact systems at significant scale. Despite the UX pod name, this is not a fron

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