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 The Hyderabad Infra team builds and maintains Notion's internal async task runner and configuration management platform. The async task runner plays a critical role in ensuring our millions of users have a fast, reliable, and secure experience. The configuration management platform enables safe, explicit configuration management for Notion's product and infrastructure engineers. As part of the Hyderabad Infra Team, you’ll have a unique opportunity to shape how Notion manages and scales its async task runner and configuration management platform, enabling innovation across the company. What You'll Achieve You will contribute to the evolution and maintenance of our async task runner to meet the needs of over 100 million global users and support the rapid growth of our product and business. With guidance from senior team members, you'll help ensure our systems remain reliable, efficient, and scalable. You'll evaluate and integrate new technologies to keep us ahead of emerging challenges. Your work will empower our engineering team to build features confidently while you grow your skills in distributed systems and infrastr
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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: We're looking for a Head of Enterprise Segment, Japan to lead Notion's Enterprise GTM motion in Japan as we evolve how we sell, build, and deliver outcomes for our largest customers. This is a senior second-line leadership role, leading leaders and teams across the Enterprise segment, with accountability for new logo acquisition, expansion, renewals, and the quality of execution that produces durable customer outcomes. This person will play an integral role in scaling Notion's evolving GTM motion in Japan. You'll help define what great looks like for the Enterprise segment: how teams identify the right accounts, create urgency with executives, diagnose workflows, run compelling first and second meetings, deliver live builds and value narratives, and hand customers off into adoption with clarity. This is not a traditional pipeline-management role. The best leaders in this motion are coaches first: they can inspect the quality of a customer conversation, watch a live build or deal review, and tell a manager or IC exactly what to change. As part of the Japan GTM leadership team, you'll be instrumental in helping define o
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 — we ship real systems that run real business processes at scale. Role Overview As Chief of Staff to the CEO, you will be the strategic nerve center of the entire company — a true force-multiplier to Surojit Chatterjee (ex CPO Coinbase, VP Products at Google). Reporting directly to the CEO and based in Mountain View, CA (full co-location required), you will own the translation of the CEO's vision across Sales, Product, and the full organizational agenda — serving as connective tissue between the CEO and every critical function: EPD, GTM, Finance, HR, Legal, and the Board. This is a senior operating role for someone who has already done it — led strategy at scale, driven GTM at a high-growth technology company, and earned their stripes as an Engagement Manager or Associate Principal at a top-tier consulting firm (McKinsey, BCG, Bain) before stepping into industry. You are not here to learn the ropes; you are here to pull them. Ema is backed by top-tier investors (Accel, Section 32, and Prosus) and is building the Universal AI Employee for enterprises worldwide. This is a high-visibility, high-impact role at one of the most consequential AI companies in the world. Key Responsibilities CEO Leverage & Executive Operations Serve as Surojit's strat
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 — we ship real systems that run real business processes at scale. The residency You own one hard problem end to end. You write the proposal, build the system, design the evaluation, ship behind a gate, and finish with a write-up of what turned out to be true, including the parts that didn't work. You'll sit in the production codebase with a senior mentor and real production data. Recent residents have shipped self-improving harnesses, inference-cost work, agent memory, and eval infrastructure. Your project gets scoped with you, not handed to you. The problem space The loop we care about: production traces become data, data becomes training and evaluation, and better agents produce better traces. Projects live somewhere on that loop. Harness and inference-time work. Context engineering, tool and skill design, orchestration, and deciding where extra inference compute actually pays. Self-improvement loops run behind hard fences. Post-training for agents. SFT on curated trajectories, preference optimization, RL on real agent tasks. Reward design where outcomes are verifiable, process vs. outcome supervision, distilling frontier behavior into cheaper models. Environments and rewards. Turning enterprise workflows into training and eval environments: fi
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 — we ship real systems that run real business processes at scale. Opportunity Summary: Ema is building the next generation AI technology to empower every employee in the enterprise to be their most creative and productive. Our proprietary tech allows enterprises to delegate most repetitive tasks to Ema, the Universal AI employee. We are founded by ex-Google, Coinbase, Okta executives, and serial entrepreneurs. We’re well-funded by the top investors and angels in the world. Ema is based in Silicon Valley with offices in Bangalore. This will be a hybrid role where we expect employees to work from the office three days a week. In this role, your work will involve: Product Strategy & Vision: Define and communicate the product strategy and roadmap based on market trends, customer needs, and company goals. Work closely with senior management and stakeholders to align the product strategy with business objectives. Market & User Research: Conduct market research and competitor analysis to identify opportunities, gaps, and market demands. Understand customer needs and translate them into product requirements. Define user personas and use cases to ensure products meet user expectations. Product Development: Collaborate with engineering, design, and
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 — 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
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 — we ship real systems that run real business processes at scale. In this role, your work will involve: Product Strategy & Vision: Define and communicate the product strategy and roadmap based on market trends, customer needs, and company goals. Work closely with senior management and stakeholders to align the product strategy with business objectives. Market & User Research: Conduct market research and competitor analysis to identify opportunities, gaps, and market demands. Understand customer needs and translate them into product requirements. Define user personas and use cases to ensure products meet user expectations. Product Development: Collaborate with engineering, design, and marketing teams to deliver products that are functional, user-friendly, and aligned with business goals. Prioritize product features, enhancements, and bug fixes based on customer feedback, technical feasibility, and business impact. Manage the product development lifecycle, including setting timelines and milestones. Cross-Functional Collaboration: Work closely with cross-functional teams (sales, marketing, customer support) to ensure successful product launches. Communicate progress, roadblocks, and product updates with stakeholders and teams across the org
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. We are hiring a Solution Engineer dedicated to one of Snowflake's most strategically important financial services customers. This is a named-account role where your entire focus will be a single global financial institution. You will be embedded in the technical relationship from day one, supporting the full sales cycle and post-sale expansion by delivering compelling demonstrations, running proof of concept engagements, and building the technical credibility that underpins every commercial conversation. Working alongside an Account Executive and supported by a Senior Solution Engineer, you will develop deep knowledge of the customer's data environment and use it to uncover and progress new use cases across the organisation. AS A SOLUTION ENGINEER AT SNOWFLAKE, YOU WILL: Support end-to-end technical sales engagements for a single strategic Global Account in financial services, from initial discovery and qualification through proof of concept delivery and technical close Build and deliver tailored demonstrations and solution presentations that connect Snowflake's platform capabilities to the customer's specific data challenges and business objectives Design and execute proof of concept engagements covering financial services use cases including risk analytics, regulatory dat
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. ____ Why Snowflake ? Snowflakeはデータ革命の最前線に立ち、世界最高のデータとアプリケーションのプラットフォームの構築に取り組んでいます。私たちのミッションはデータサイロ化を解消して、「世界中のデータをモビライズすること」を目指しております。急成長していくデータの未来を私たちと共に築いていきましょう! Solution Engineering team’s Mission ? Solution Engineeringチームは、営業チームやパートナーと密に連携しながら、お客様の課題を理解し、Snowflakeの価値をわかりやすく伝え、案件形成から技術検証、成約後の活用イメージづくりまでを支援する役割を担います。Associate Solution Engineerには、経験豊富なSEや営業メンバーと協業しながら、顧客への提案活動、デモ支援、技術的な学習と実践を通じて成長していくことを期待します。 The Impact You will Make 営業チームやSenior SEと連携し、見込み客や既存顧客に対するプレゼンテーション、デモ、技術説明を支援する。 顧客の業務課題や技術要件を理解し、Snowflakeの価値と結びつけて提案できるようになる。 PoCや技術検証の準備・実行を支援し、営業サイクル全体を通じてお客様の意思決定を後押しする。 データ、クラウド、AIの進化を学び続け、競合技術や関連ベンダーへの理解を深める。 製品、エンジニアリング、マーケティングなどの社内チームと協力し、現場の学びや顧客の声を共有する。 日本のSE組織における標準的な選考・育成の期待に沿って、技術力、プレゼン力、顧客提案力を段階的に高めていく。 Who You Are 必須要件 SaaS、クラウド、データプラットフォーム、アナリティクス、AI関連領域に強い関心を持ち、継続的に学習できる方 顧客または社内向けに、技術的な内容をわかりやすく説明しようとする姿勢をお持ちの方 データベース、データウェアハウス、ETL、アナリティクス、クラウドテクノロジーに関する基礎理解、または早期にキャッチアップできる素地をお持ちの方 SQLおよびデータ活用に関する基礎知識、またはハンズオンで学んだ経験をお持ちの方 顧客の課題を理解し、ソリューション提案へつなげようとする思考力をお持ちの方 コンピュータサイエンス、エンジニアリング、数学、または関連分野の学位、もしくは同等の実務経験をお持ちの方 日本語に堪能で、英語での業務に抵抗がない方 周囲を巻き込みながら学び、One Teamで成果を出そうとする姿勢をお持ちの方 歓迎要件 プリセールス、ソリューション提案、Sales Engineer、Solution Engineer、コンサルティング、またはそれに近い経験 デモ、ハンズオン、PoC、技術検証、または顧客向けプレゼンテーションの経験 パブリッククラウド、BI、データ統合、AI/MLなどの周辺技術に関する知識 顧客接点のある環境で、技術とビジネスの両方に関わ
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. ____ Why Snowflake ? Snowflakeはデータ革命の最前線に立ち、世界最高のデータとアプリケーションのプラットフォームの構築に取り組んでいます。私たちのミッションはデータサイロ化を解消して、「世界中のデータをモビライズすること」を目指しております。急成長していくデータの未来を私たちと共に築いていきましょう! Solution Engineering team’s Mission ? Solution Engineeringチームは、営業チームやパートナーと密に連携しながら、お客様の課題を理解し、Snowflakeの価値をわかりやすく伝え、案件形成から技術検証、成約後の活用イメージづくりまでを支援する役割を担います。Associate Solution Engineerには、経験豊富なSEや営業メンバーと協業しながら、顧客への提案活動、デモ支援、技術的な学習と実践を通じて成長していくことを期待します。 The Impact You will Make 営業チームやSenior SEと連携し、見込み客や既存顧客に対するプレゼンテーション、デモ、技術説明を支援する。 顧客の業務課題や技術要件を理解し、Snowflakeの価値と結びつけて提案できるようになる。 PoCや技術検証の準備・実行を支援し、営業サイクル全体を通じてお客様の意思決定を後押しする。 データ、クラウド、AIの進化を学び続け、競合技術や関連ベンダーへの理解を深める。 製品、エンジニアリング、マーケティングなどの社内チームと協力し、現場の学びや顧客の声を共有する。 日本のSE組織における標準的な選考・育成の期待に沿って、技術力、プレゼン力、顧客提案力を段階的に高めていく。 Who You Are 必須要件 SaaS、クラウド、データプラットフォーム、アナリティクス、AI関連領域に強い関心を持ち、継続的に学習できる方 顧客または社内向けに、技術的な内容をわかりやすく説明しようとする姿勢をお持ちの方 データベース、データウェアハウス、ETL、アナリティクス、クラウドテクノロジーに関する基礎理解、または早期にキャッチアップできる素地をお持ちの方 SQLおよびデータ活用に関する基礎知識、またはハンズオンで学んだ経験をお持ちの方 顧客の課題を理解し、ソリューション提案へつなげようとする思考力をお持ちの方 コンピュータサイエンス、エンジニアリング、数学、または関連分野の学位、もしくは同等の実務経験をお持ちの方 日本語に堪能で、英語での業務に抵抗がない方 周囲を巻き込みながら学び、One Teamで成果を出そうとする姿勢をお持ちの方 歓迎要件 プリセールス、ソリューション提案、Sales Engineer、Solution Engineer、コンサルティング、またはそれに近い経験 デモ、ハンズオン、PoC、技術検証、または顧客向けプレゼンテーションの経験 パブリッククラウド、BI、データ統合、AI/MLなどの周辺技術に関する知識 顧客接点のある環境で、技術とビジネスの両方に関わ
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. ABOUT THE ROLE Snowpark is how developers run distributed Python, Java, and Scala workloads directly on the Snowflake platform — securely, at scale, and without moving data. It is one of Snowflake's most differentiated and fastest-growing products, and as workloads become agent-driven — where Python is the default — its growth is only accelerating. Having expanded from structured data into semi-structured and ETL workloads, Snowpark is now entering its most exciting phase: unstructured, multimodal, and agentic AI data processing. We are looking for a Principal Product Manager to own Snowpark and lead this next chapter. This is a general-manager-style role: you will own the strategy, growth, and go-to-market for a critical product line, acting as an entrepreneur with the autonomy to propose and launch multiple 0→1 bets on top of an already highly successful product. You will be the most senior PM on the product, with a clear path to lead the Snowpark PM team as you demonstrate impact. AS A PRINCIPAL PM AT SNOWFLAKE, YOU WILL: Define the Mission: Own the end-to-end, multi-year strategy and roadmap for Snowpark as the standard for distributed Python, Java, and Scala processing on the data platform. Lead the 0→1: Drive the expansion into unstructured/multimodal data processing
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. Staff Software Engineer - External Observability Platform Location: Bellevue, WA (Hybrid: 3 days/week in-office) Team: Infrastructure & Observability Platform Engineering About the Role Snowflake’s Data Cloud processes exabytes of data across multi-cloud global environments every day. Delivering seamless reliability and real-time visibility to thousands of global enterprise customers requires an Observability Platform built on hyper-scalable backend distributed systems. We are seeking a Staff / Lead Software Engineer to architect, design, and scale our External Observability Platform . In this role, you will lead the technical strategy for customer-facing telemetry, system metrics, audit logs, distributed tracing, and actionable operational insights. You will build high-throughput, low-latency infrastructure capable of ingesting, processing, and serving petabytes of telemetry data with strict SLA guarantees. You will join a team of world-class engineers in our Bellevue, WA office. To be successful, you must be deeply technical, capable of leading complex cross-functional architecture initiatives, and skilled at mentoring senior engineers while holding your own with the brightest technical minds in the industry. Key Responsibilities Architect & Scale Distributed Infr
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. Why Snowflake ? Snowflakeは、データ革命の最前線に立ち、世界最高水準のデータおよびアプリケーション・プラットフォームの構築に取り組んでいます。私たちのミッションは、企業の根深いデータサイロを解消し、「世界中のデータをモビライズすること」です。急速に進化するデータとAIの時代において、お客様の変革を支える次世代のデータ戦略を、ともに実現しませんか。 Sales team’s Mission ? 日本のフィールドセール組織は、顧客規模や業界ごとに専門性を持った体制で運営されています。 私たちのミッションは、単に製品を販売することではなく、社内のセールスエンジニアリング、プロフェッショナルサービス、マーケティング、パートナーと密に連携しながら、お客様にとっての長期的なデータ戦略を支えるTrusted Advisorとして価値を届けることです。 The Impact You will Make Senior District Managerとして、担当Districtにおける営業戦略の立案と実行、組織づくり、案件推進を通じて、継続的な売上成長を実現していただきます。 District戦略の立案と実行: 担当Districtの営業戦略を策定し、四半期および年次ベースでチームの売上目標達成をリードする。 チームビルディングと人材育成: Account Executiveを中心とした営業チームの採用、育成、コーチング、パフォーマンスマネジメントを担い、高い成果を継続的に創出できる組織をつくる。 エグゼクティブリレーションの構築: お客様の経営課題、ITロードマップ、データ戦略を深く理解し、CxO、ITエグゼクティブ、LOBエグゼクティブとの長期的な信頼関係を構築する。 パイプラインと案件推進の高度化: 担当アカウントに対するアカウントプラン、案件戦略、パイプラインマネジメント、フォーキャスト精度の向上を推進する。 戦略案件のリード: 大型案件や戦略案件において、営業活動全体の指揮を執り、案件形成からクロージング、拡大、深耕までを支援する。 クロスファンクショナルな協業: セールスエンジニアリング、プロフェッショナルサービス、マーケティング、パートナーを含むクロスファンクショナルチームと連携し、One Teamとして顧客成果を最大化する。 市場インサイトの活用: 担当業界の市場動向、競合環境、顧客ニーズを把握し、SnowflakeのポジショニングおよびGo-to-Market戦略に反映する。 次世代リーダーの育成: 将来のリーダー候補を育成し、組織の拡大と継続的な成長に貢献する。 Who You Are 必須要件 SaaSまたはエンタープライズソフトウェア業界において、8年以上の法人営業経験を有していること。 3年以上の営業マネジメント経験を有し、チーム目標達成に向けた組織運営、育成、評価の実績があること。 大型エンタープライズ案件において、アカウントプラン策定、案件推進、クロージングまでをリードした実績があること。 顧客の課題を的確
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. Come join us in this super high impact role as we build the future of Snowflake! Snowsight is the perfect place for data professionals to do their best work, and in this role you'll be making it even better. You'll join a wildly talented, multi-disciplinary team to not only reimagine existing Snowsight experiences, but also to extend it to exciting new surfaces and unlock high value business opportunities. Acting as a startup within Snowflake, together we'll iterate quickly, ship daily, and experiment continuously. This is a phenomenal opportunity to revolutionize how people across the world turn data into knowledge, and knowledge into opportunities. As a senior technical leader on this team, you'll have exceptional impact, both shaping and shipping amazing experiences — and helping the engineers around you do the very best work of their careers. YOU WILL: Act as a technical leader and deep domain expert across the stack, owning an area of the product end-to-end with an eye toward service health, quality, and customer experience. Lead large, cross-team projects from architecture through delivery — identifying opportunities, making the right trade-offs in the context of overall company goals, and driving them to completion. Leverage agentic AI to accelerate your work (and th
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. Staff Software Engineer - Container Platform (Menlo Park) About the Role We build the foundational container platform that runs Snowflake's production, AI/ML, and CI workloads across AWS, Azure, and GCP, including a rapidly growing AI/ML footprint. Hundreds of large Kubernetes clusters under management and growing. The work is to make that fleet reliable, automated, and invisible to the thousands of engineers building on top of it. This is a staff-level role on a senior, high-performing platform team. You'll own hard problems end to end, drive technical direction across teams, and build the automation and platform abstractions that make operating at this scale sustainable. There is significant unsolved work ahead: improving the developer experience for thousands of internal engineers and continuing to scale the platform to meet Snowflake's growth. What You'll Do Own the design and delivery of large, complex platform initiatives spanning cluster lifecycle management, multi-cloud automation, and internal developer tooling. Identify and drive cross-team technical improvements across the platform, from architecture through adoption. Make and defend architectural trade-offs grounded in reliability, scalability, and operational reality. Act as a technical anchor for the team, dev
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