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Senior Engineering Manager Reporting Jobs

7,101 active opportunities · Updated for October 2026

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Explore current senior engineering manager reporting jobs. Use filters to narrow by work mode, employment type, experience and date posted.

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OpenAI
📍 Tokyo• Full-time
1mo ago

About the Team OpenAI’s Enterprise Go-To-Market organization helps the world’s largest companies adopt and scale our AI platform across their business, from ChatGPT Enterprise to our developer and APIs. We partner with organizations across Financial Services, Life Sciences, and Retail to build new AI-powered customer experiences, transform operations, and reimagine how work gets done in highly regulated and technically complex environments. As adoption accelerates through pilots, experimentation, and develop-led use cases, the GTM team turns that momentum into durable, enterprise-wide deployments. About the Role We are looking for a senior, high-agency Account Associate to help build and scale our Japan Strategic & Large Enterprise, DNB and Startup motion. This person should be able to create pipeline through thoughtful outbound, strong discovery, disciplined follow-up, and clear stakeholder mapping. This is not a junior execution role. It is a front-line role for someone who can help shape the motion while working closely with Account Directors, technical teams, and HQ. At the same time, this role is designed as a launchpad for future sellers at OpenAI. It’s a highly strategic position with meaningful exposure to enterprise sales, product, and customer strategy. You’ll build core skills in discovery, stakeholder mapping, deal shaping, and executive communication, while developing a deep understanding of how leading companies adopt AI. Recommended Seniority 7-10 years of total work experience 3-5+ years of relevant experience in SDR, BDR, inside sales, startup sales, enterprise/commercial AE, or similar GTM roles Some closing or full-cycle sales experience is strongly preferred We’re looking for individuals with 6+ years of total work experience who are motivated to grow into world-class enterprise sellers over time. Many people in this role go on to become Account Directors or take on broader GTM roles, but progression is based on performance and business needs

awsrestai
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OpenAI
📍 San Francisco• Full-time
1mo ago

About the team OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this. In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible. About the Role OpenAI is building a dedicated Digital Natives vertical focused on high-growth technology and internet companies shaping the future of software. As a Sales Manager, you will recruit, develop, and lead a team of senior Account Directors responsible for landing and expanding OpenAI’s largest and most strategic Digital Native customers. You will define how we win in this segment — establishing the operating cadence, deal strategy, and vertical GTM playbook for engaging sophisticated, technically fluent buyers building AI into their core products. You will operate as a hands-on front-line leader: deeply involved in complex opportunities, elevating sales discipline, and shaping how OpenAI scales enterprise revenue in the most dynamic segment of the market. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. Key Responsibilities Recruit and develop a high-performing team of Account Directors. Establish a coaching culture centered on rigorous deal reviews, structured 1:1s, and clear performance standards. Raise the talent bar continuously through thoughtful hiring, development, and accountability. Architect and refine the GTM strategy for high-growth tech and internet companies. Shape territory design, account prioritization, and coverage mo

awsgitrest
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O
1mo ago

About the Team Our GTM Strategy & Operations team builds the systems, insights, and operating rhythms that help scale Enterprise revenue growth. In this role, you’ll partner closely with the broader GTM Strategy & Operations team and senior Sales leaders to support strategic planning, strengthen business execution, and operationalize key initiatives across the Enterprise organization. About the Role You’ll manage core sales cadences, analyze business performance, and contribute to cross-functional initiatives that improve efficiency and accelerate growth. This is a highly collaborative role that works across Sales, Finance, Enablement, Data, Product, Growth Strategy, and Systems. This role is ideal for someone who enjoys navigating ambiguity, solving complex business problems, and using data to improve how teams operate and scale. In this role, you will: Support Enterprise GTM Strategy Partner with Enterprise Sales leadership on strategic planning, coverage, and growth initiatives Analyze business performance and customer trends to inform recommendations and priorities Identify operational gaps and opportunities across the sales funnel Develop growth strategies and strategic bets for new products, capabilities, customer motions, and market opportunities across Enterprise subsegments Improve Business Operations Support forecasting, pipeline reviews, business reviews, and performance reporting Build scalable processes, reporting, and operating cadences that improve visibility and execution Maintain and enhance core GTM metrics and dashboards Share knowledge and best practices across the GTM Strategy & Operations team to drive greater consistency and standardization Drive Cross-Functional Initiatives Partner across Sales, Finance, Enablement, Data, Product, Growth Strategy, and Systems on high-impact initiatives Coordinate stakeholders, timelines, and deliverables to keep projects moving forward Drive process improvements that increase sales productivity an

awsrestai
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O
1mo ago

About the Team ChatGPT is a rapidly evolving system: new capabilities ship continuously, product surfaces change quickly, and usage patterns shift week-to-week. Supporting that pace requires infrastructure that can handle real production constraints—high concurrency, unpredictable traffic patterns, complex dependency graphs, and frequent change. The ChatGPT Infrastructure team builds and operates the platforms that enable fast iteration without compromising performance or reliability. We design shared systems, data paths, rollout mechanisms, and reliability guardrails that teams rely on to ship changes to ChatGPT at scale. We focus on high-leverage infrastructure: primitives and “golden paths” that incorporate operational lessons as defaults, so engineers don’t need to rediscover failure modes, latency pitfalls, or integration issues each time they build something new. About the Role We’re hiring Senior and Staff Engineers to design and build infrastructure systems that underlie ChatGPT and multiply the effectiveness of teams building user experiences. This is not a support-only role. It’s a platform-building role: you’ll define interfaces, develop core abstractions, and create tooling to make safe, fast iteration the norm. Your work will reduce friction, prevent regressions, improve performance, and ensure systems scale gracefully as the product grows. Where You Can Have Impact You might work on one or more of the following areas (without being restricted to any single area): Platform foundations & frameworks: Core libraries, service frameworks, and shared components that standardize system building, integration, and evolution. Scalability & performance primitives: Patterns and infrastructure that reduce tail latency, improve throughput, and keep costs predictable as demand increases. Reliability guardrails: Mechanisms that prevent outages by design—rate limiting, load shedding, dependency isolation, backpressure, safe fallbacks, and robust regression contr

redisawsrest
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OpenAI
📍 San Francisco• Full-time
1mo ago

About the Team Our Safety Systems team is at the forefront of OpenAI's mission to build and deploy safe AGI, driving our commitment to AI safety and fostering a culture of trust and transparency. The Model Policy team aligns model behavior with desired human values and norms. We co-design policy with models and for models by driving rapid policy taxonomy iteration based on data and defining evaluation criteria for foundational models’ ability to reason about safety. Key focus areas include: catastrophic risk, mental health, teen safety and multimodal safety. About the Role Providing access to frontier AI systems raises complex questions around dual-use science and catastrophic risk. How should models respond to requests involving chemical synthesis, biological experimentation, or pathogen research? Where is the boundary between legitimate scientific inquiry and information that could enable misuse? How do we design policies that meaningfully reduce risk without unnecessarily restricting beneficial research? This is a senior role in which you’ll help shape policy creation and development at OpenAI for addressing biological and chemical risks. You will develop structured policy frameworks and taxonomies to guide safe model behavior. This role sits at the intersection of biosecurity expertise, AI safety research, and policy design. You will help ensure that frontier AI systems can support beneficial life sciences research, such as drug discovery, public health, and biosafety, while reducing the risk that these capabilities could be misused. Our relevant publications: Preparedness framework Preparing for future AI capabilities in biology Safety evaluations hub OpenAI GPT5 System Card Evaluating Fairness in ChatGPT Improving Model Safety Behavior with Rule-Based Rewards OpenAI Model Spec Your Responsibilities: Design and maintain model policies governing chemical and biological risk, defining how models should safely handle dual-use scenarios. Develop structured taxonomi

awsgitrest
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O
1mo ago

About the team OpenAI’s mission is to build safe artificial general intelligence (AGI) that benefits all of humanity. Achieving this requires bringing together world-class scientists, engineers, and business leaders to translate frontier research into real-world impact. Within OpenAI, the Go-to-Market organization helps customers understand, adopt, and scale our products across their businesses. The team includes Sales, Solutions, Support, Marketing, Partnerships, and Strategic Pursuits professionals who work together to bring the benefits of AI to organizations globally. About the role We are hiring a Senior Specialist Seller to join the Strategic Pursuits team and lead priority opportunities generated through the joint AWS and OpenAI co-sell motion. You will partner closely with Account Directors, AWS field teams, and cross-functional stakeholders to identify, shape, advance, and close high-value strategic enterprise engagements. This role is ideal for a senior seller with deep experience in enterprise technology, AI, cloud, or complex transformation sales motions. You should be comfortable operating in executive-facing environments, aligning multiple stakeholders, and turning customer priorities into commercially compelling and technically credible opportunities. This role is based in San Francisco, Seattle, or New York. We operate on a hybrid model of 3 days per week in office and offer relocation support. We are also open to remote candidates based in the United States. In this role, you will: Lead commercial execution of priority AWS/OpenAI co-sell opportunities across strategic enterprise accounts. Identify and qualify high-potential opportunities focused on GenAI adoption, frontier platform use cases, and enterprise-wide transformation. Partner with AWS and OpenAI field teams to align account strategy, messaging, stakeholder mapping, and execution plans. Develop customer-facing value propositions that connect OpenAI capabilities with business priorities and

awsrestai
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O
1mo ago

About the Team The Strategic Finance team provides financial insights and guidance to support OpenAI’s long-term goals and strategies. We partner across the business to allocate and deploy our resources for the highest-impact outcomes.  Within Strategic Finance, the B2B team focuses on the financial performance of our products and GTM functions, ensuring tight alignment between financial objectives and company strategy. We partner with leaders across Product, GTM, Research, Partnerships, and Operations to: Drive operational planning, financial forecasting, and performance management. Provide decision-quality insights on product and financial performance to inform strategic resource allocation. Build the “0→1” financial foundations required to scale and accelerate growth. About the Role We are hiring a senior leader in B2B Strategic Finance to build and scale a new pillar within our finance organization. This is a highly visible role that reports into the Head of B2B Strategic Finance and supports some of our most critical executive stakeholders, including our COO, CFO, and CRO, among others on the B2B Leadership Team. This role is ideally based in our San Francisco HQ, but we are open to NYC and Seattle. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Drive B2B finance scale and rigor Build and scale core financial infrastructure across the B2B business, including forecasting methodology, variance management, and performance narratives that drive accountability and decision-making velocity. Lead consolidated planning across revenue, gross margin (including compute), and opex for annual budget, forecasts, regular business reviews, and long-range planning. Establish durable management reporting: KPI definitions, dashboards, month-end/quarter-end deliverables, and exec-ready readouts. Partner with Corporate FP&A, Accounting, and Finance Systems/Data to evolve processes and contro

sqlawsrest
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Ema (Enterprise Machine Assistant)
📍 United States• Full-time• From $250K/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 — we ship real systems that run real business processes at scale. Skills and Qualifications: Product Knowledge: Deep understanding of product offerings and their real-world applications, particularly in AI technologies, enabling effective communication of value to potential customers. Sales Expertise: Proven track record in building positive relationships, prospecting, and negotiating high-value deals with senior executives. Experience generating pipeline through cold calling and prospecting. Interpersonal Skills: Strong communication and interpersonal abilities, with the capacity to be personable yet persistent, adapting your approach to different customer needs. Technical Acumen: Effective combination of selling skills and technical understanding, focusing on strategic thinking, problem-solving, and value creation tailored to each unique client. Adaptability: Ability to thrive in a fast-paced, dynamic environment, with a high level of flexibility and the capacity to adapt to changing priorities and overcome challenges. Responsibilities: Lead Generation: Responsible for outbound prospecting, generating new leads, and developing comprehensive strategies to expand the company’s presence within targeted institutions or regions. Client Engagement: B

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Snowflake
📍 Austin• 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 — 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 Senior Technical Architect for our Services Delivery team. Our SD organization partners with customers across every stage of their data and AI journey, from initial implementation through long-term platform strategy. In this role, you will own the technical delivery and outcome for complex, high-priority engagements, serve as the most senior technical voice in the room, and shape how our customers use Snowflake to drive real business transformation. AS A SENIOR TECHNICAL ARCHITECT AT SNOWFLAKE, YOU WILL: Customer Leadership and Advisory Lead customer engagements as the primary technical authority, owning architecture decisions and driving measurable outcomes across complex, multi-workstream implementations Partner with customer executives and senior technical leadership to define platform strategy, develop long-term roadmaps, and align Snowflake capabilities to business objectives Translate ambiguous business problems into well-defined, scalable technical solutions, with clear delivery paths and risk-mitigation strategies Serve as the trusted escalation point for technical challenges within engagements, unblocking delivery teams and resolving architectural issues Technical Architecture and Delivery Architect and implement end-to-end AI/ML solutions on Snowfl

pythonsqlaws
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Snowflake
📍 New York, United States• 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 — 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 Senior Technical Architect for our Services Delivery team. Our SD organization partners with customers across every stage of their data and AI journey, from initial implementation through long-term platform strategy. In this role, you will own the technical delivery and outcome for complex, high-priority engagements, serve as the most senior technical voice in the room, and shape how our customers use Snowflake to drive real business transformation. AS A SENIOR TECHNICAL ARCHITECT AT SNOWFLAKE, YOU WILL: Customer Leadership and Advisory Lead customer engagements as the primary technical authority, owning architecture decisions and driving measurable outcomes across complex, multi-workstream implementations Partner with customer executives and senior technical leadership to define platform strategy, develop long-term roadmaps, and align Snowflake capabilities to business objectives Translate ambiguous business problems into well-defined, scalable technical solutions, with clear delivery paths and risk-mitigation strategies Serve as the trusted escalation point for technical challenges within engagements, unblocking delivery teams and resolving architectural issues Technical Architecture and Delivery Architect and implement end-to-end AI/ML solutions on Snowfl

pythonsqlaws
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Snowflake
📍 New York, United States• 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 — 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 Senior Technical Architect for our Services Delivery team. Our SD organization partners with customers across every stage of their data and AI journey, from initial implementation through long-term platform strategy. In this role, you will own the technical delivery and outcome for complex, high-priority engagements, serve as the most senior technical voice in the room, and shape how our customers use Snowflake to drive real business transformation. AS A SENIOR TECHNICAL ARCHITECT AT SNOWFLAKE, YOU WILL: Customer Leadership and Advisory Lead customer engagements as the primary technical authority, owning architecture decisions and driving measurable outcomes across complex, multi-workstream implementations Partner with customer executives and senior technical leadership to define platform strategy, develop long-term roadmaps, and align Snowflake capabilities to business objectives Translate ambiguous business problems into well-defined, scalable technical solutions, with clear delivery paths and risk-mitigation strategies Serve as the trusted escalation point for technical challenges within engagements, unblocking delivery teams and resolving architectural issues Technical Architecture and Delivery Architect and implement end-to-end AI/ML solutions on Snowfl

pythonsqlaws
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S
Snowflake
📍 New York, United States• 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 — 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 Senior Technical Architect for our Services Delivery team. Our SD organization partners with customers across every stage of their data and AI journey, from initial implementation through long-term platform strategy. In this role, you will own the technical delivery and outcome for complex, high-priority engagements, serve as the most senior technical voice in the room, and shape how our customers use Snowflake to drive real business transformation. AS A SENIOR TECHNICAL ARCHITECT AT SNOWFLAKE, YOU WILL: Customer Leadership and Advisory Lead customer engagements as the primary technical authority, owning architecture decisions and driving measurable outcomes across complex, multi-workstream implementations Partner with customer executives and senior technical leadership to define platform strategy, develop long-term roadmaps, and align Snowflake capabilities to business objectives Translate ambiguous business problems into well-defined, scalable technical solutions, with clear delivery paths and risk-mitigation strategies Serve as the trusted escalation point for technical challenges within engagements, unblocking delivery teams and resolving architectural issues Technical Architecture and Delivery Architect and implement end-to-end AI/ML solutions on Snowfl

pythonsqlaws
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S
Snowflake
📍 Chuo Ku• 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 — 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 District Manager ____ 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ス組織は、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は、Field Sales Leadership配下で、Account Executiveを中心とした営業チームを率い、担当Districtの成長を牽引する重要なマネジメントポジションです。 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

aigorust
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Snowflake
📍 Washington, United States• 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 — 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 Senior Technical Architect for our Services Delivery team. Our SD organization partners with customers across every stage of their data and AI journey, from initial implementation through long-term platform strategy. In this role, you will own the technical delivery and outcome for complex, high-priority engagements, serve as the most senior technical voice in the room, and shape how our customers use Snowflake to drive real business transformation. AS A SENIOR TECHNICAL ARCHITECT AT SNOWFLAKE, YOU WILL: Customer Leadership and Advisory Lead customer engagements as the primary technical authority, owning architecture decisions and driving measurable outcomes across complex, multi-workstream implementations Partner with customer executives and senior technical leadership to define platform strategy, develop long-term roadmaps, and align Snowflake capabilities to business objectives Translate ambiguous business problems into well-defined, scalable technical solutions, with clear delivery paths and risk-mitigation strategies Serve as the trusted escalation point for technical challenges within engagements, unblocking delivery teams and resolving architectural issues Technical Architecture and Delivery Architect and implement end-to-end AI/ML solutions on Snowfl

pythonsqlaws
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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 is seeking a Senior Partner Marketing Manager to lead go-to-market strategy for our scale services partner ecosystem spanning system integrators and resellers. This is a category-level leadership role, not a single-partner execution role. You will own the end-to-end marketing strategy for the Scale Services category, set goals for internal and external stakeholders across that category, and enable regional field teams and partners to self-execute joint go-to-market motions at scale. You will be expected to identify gaps across the sales, marketing, and partner ecosystem — and build the programs, frameworks, and tools to close them. You will operate with minimal oversight on ambiguous, cross-functional challenges and help others navigate similar complexity. What You'll Do Category-Level Strategy & Planning Own and develop joint marketing plans at the Scale Services category level — across the full SI/reseller ecosystem, not just individual partners. Set goals for internal stakeholders (field marketing, PMM, alliances) and external partners, and be accountable to category-level pipeline and revenue outcomes. Enable partner organizations and regional teams to build and submit their own joint marketing plans to Snowflake; establish the frameworks and templates tha

aigorust
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