Engineering Execution Manager Jobs

Capco France recherche un·e PDLC/SDLC Expert – Python & GenAI pour accompagner les acteurs majeurs de la banque et des services financiers dans l'optimisation et la transformation de leurs cycles de développement produit et logiciel. Au sein de notre Practice Technology & Engineering, vous interviendrez à l’intersection du Software Engineering, de l’automatisation et de l’intelligence artificielle pour concevoir et déployer des solutions améliorant la qualité, la rapidité et la fiabilité du développement logiciel. Vous travaillerez aux côtés des équipes Engineering, Architecture, DevOps et Product pour analyser les pratiques existantes, identifier les opportunités d’amélioration et accompagner l’évolution des méthodes de développement. Vous jouerez un rôle clé dans l’intégration de la GenAI et des workflows AI-enabled au sein des cycles PDLC/SDLC, de la conception à la mise en production, en veillant à maintenir la supervision humaine, la sécurité, la traçabilité et les standards de qualité. Vos missions : Analyser et optimiser les cycles Product Development Lifecycle (PDLC) et Software Development Lifecycle (SDLC) afin d’améliorer la qualité, la productivité et la fiabilité des processus de développement. Concevoir et développer des solutions et outils d’automatisation en Python, notamment pour les activités de développement, de tests, de validation et de maintenance logicielle. Intégrer des capacités de GenAI et des workflows AI-enabled dans les pratiques d’ingénierie, notamment pour l’assistance au développement, la génération et la revue de code, la documentation et l’automatisation des tests. Collaborer avec les équipes Engineering, DevOps, Architecture et Product pour industrialiser les solutions, renforcer les pratiques CI/CD et accompagner leur adoption. Évaluer l’efficacité des solutions déployées et garantir une utilisation responsable de l’IA, avec des mécanismes de contrôle, de validation humaine, de traçabilité et d’escalade adaptés

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. Solution Engineer ____ 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 ? 当社では、お客様の複雑な課題を解決し、大規模な案件に経験のあるシニアソリューションエンジニアを募集しています。シニアソリューションエンジニアはセールスチームやチャネルパートナーと協業して、お客様のニーズを理解し、セールスサイクルを元に案件支援を計画して、説得力のある価値志向のデモンストレーションを提供し、お客様のPoCをサポートし、案件の成約まで支援します。Snowflakeのソリューションエンジニアとして、「データ領域を再定義する」という当社の情熱を共有し、変化の激しい環境でも積極的に自ら関与して実行する柔軟性と意欲をが求められているます。ビジネスと技術の両方において、エグゼクティブと会話、技術的な方々と話をします。 The Impact You will Make 見込み客やお客様のエグゼクティブやIT技術者にSnowflakeのテクノロジーやビジョンのプレゼンテーションを実施 見込み客やお客様に対してデモやPoCなどの方法で営業サイクル全体を通してSnowflakeテクノロジーの価値を実証 進化し続ける業界に身を置き、競合他社や関連する技術やベンダーを理解し、Snowflakeをどのようにポジショニングするかの理解 製品管理、エンジニアリング、マーケティングと協力して、Snowflakeの製品改善やマーケティング活動を実施 Who You Are 5〜8年の業界経験を持ち、プリセールス環境で3年以上の経験をお持ちの方 ホワイトボードでの即席プレゼンテーションやデモの使用など、技術者とエグゼクティブの両方へのプレゼンテーションスキル 大規模なデータベース、データウェアハウス技術、ETL、アナリティクス、クラウドテクノロジーの幅広い経験 SQLとSQLアナリティクスのハンズオン知識 顧客の具体的なビジネス上の課題とSnowflakeのソリューションを結びつける提案スキル コンピュータサイエンス、エンジニアリング、数学、または関連分野の大卒、または同等の経験をお持ちの方 日本語と英語に堪能な方 Japan Benefits（一部） Free lunch at office 401K（企業型確定拠出年金） RSU Phone & Gym reimbursement 3 day Summer Vacation & 5 day Year-end Holidays Paid Parental Leave Snowflake is growing fast, and we’re scaling our

About the Team DoorDash’s Global Governance, Risk and Compliance (GRC) team helps the business scale securely through practical risk-based decisions, reliable controls and clear accountability. Our third-party risk program protects the systems and data behind our marketplace across DoorDash, Wolt, and Deliveroo. About the Role We’re looking for a Third-Party Risk Management (TPRM) Manager to lead a technically rigorous global program and shape its AI-native future. You will own the vendor security risk lifecycle, lead complex assessments of integrations with our most critical systems and data, and develop a team that makes clear, evidence-based risk decisions. You will also set the vision and build practical agentic workflows that improve how we gather evidence, assess risk, and follow through on remediation. Reporting to the Global Head of GRC, you will serve as their US-based deputy and provide GRC leadership and escalation coverage during US business hours. You will directly manage TPRM analysts together with other US-based GRC team members assigned to your organization. This role combines hands-on technical judgment, program ownership and people leadership. You will be based in the United States, preferably within the Eastern or Central timezones, with core working hours aligned to US business needs and clear handoffs with global colleagues. What you will do Run the day-to-day TPRM program operations from vendor discovery and risk tiering through due diligence, onboarding, continuous monitoring, remediation and exit. Maintain a reliable vendor inventory, policies, assessment standards, and service levels across DoorDash, Wolt, and Deliveroo, covering cloud, SaaS, business process outsourcing (BPO), and other critical suppliers. Lead assessments of vendors connected to crown jewel systems, including identity platforms, production cloud, source code and CI/CD, and sensitive-data platforms. Examine architecture, data flows, permissions, and control evidence. Use st

The Role As a Solutions Architect, you will lead the technical strategy for your customers — owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy. You are developing a technical specialization (archetype) and are recognized within your team for depth in a specific domain. You understand the relevance and application of ML & AI within a range of use cases important to existing digital native customers. The Impact You Will Have Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth Lead complex architecture discussions — designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics Serve as a trusted technical advisor to customer architects, engineering leads, and Directors Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions Develop and declare an emerging technical specialization (archetype) — becoming a go-to resource for your team in that domain Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs Influence product direction by providing structured feedback on customer requirements and competitive gaps What We Look For 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role Strong coding proficiency in Python and SQL — you must demonstrate live coding, debugging, and solution-building skills Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms Proficient on the Databricks Platform (or demonstrated ability to achieve pro

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Department overview: The Solutions Engineer builds, tests, and improves employee technology automations and integrations within agreed designs. The role helps shift support toward earlier detection and safe, repeatable resolution while making solutions easy to operate. Working with senior engineers, platform owners, and support teams, this individual delivers defined components and uses production feedback to improve them. What you’ll be doing: Implementation and quality Develop scripts, API integrations, workflows, and platform configurations for agreed employee technology use cases. Implement defined detection and approved remediation steps, including validation, error handling, logging, and escalation when a case cannot be resolved safely. Write and run tests; document configuration, operation, known limitations, and recovery steps. Monitor owned components, investigate defects, and improve reliability and usability from production feedback. Platforms and integrations Build and maintain assigned integrations and workflows across employee technology systems, which may include ServiceNow, Moveworks, Jira, Slack, Nexthink, Jamf , Microsoft Intune, Microsoft 365, and Microsoft Graph. Use documented APIs and in

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Department overview: The Senior Solutions Architect shapes the technical approach for moving employee technology support from reactive response toward predictive detection, safe self-healing, and higher value enablement. The role turns service needs into cross-platform architecture, reusable patterns, and clear implementation guidance. Working with engineering, operations, platform, security, and architecture partners, this individual makes technical tradeoffs visible and helps teams deliver solutions that can be operated and improved over time. What you’ll be doing: Architecture and technical direction Lead technical discovery for complex, cross-platform employee technology opportunities and define target architectures, integration patterns, and implementation options. Design the flow from service and endpoint signals through detection, diagnosis, approved remediation, escalation, and outcome recording. Set reusable standards for APIs, identity, data handling, observability, testing, rollback, and operational ownership in automation solutions. Assess build versus buy options and emerging AI capabilities against employee value, technical feasibility, security, and supportability. Platform architecture and integratio

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. Marketing & Privacy Engineering (MPE) builds trusted, privacy-aware consumer web experiences and measurement systems that enable sustainable growth. Within MPE, the MarTech pillar owns Affirm’s Logged-Out Web experiences, web experimentation, client-side tagging, marketing technology integrations, attribution, and measurement. As a Software Engineer II on MPE, you will build and improve high-traffic consumer web experiences while contributing to the experimentation, instrumentation, and marketing integrations that help Affirm understand and grow consumer acquisition. You will work in a modern web stack across React, TypeScript, shared component systems, testing, performance, and observability, with opportunities to develop deeper expertise in technologies such as Google Tag Manager, analytics and experimentation platforms, conversion tracking, and marketing APIs. You will partner with senior engineers as well as Product, Design, Marketing, Analytics, and Data Engineering to ship reliable experiences and ensure measurement and privacy requirements are considered during development. This role is a strong fit for an engineer who enjoys building polished web products, learning new technical domains, and taking increasing ownership of systems that operate at scale. What You'll Do With the support of your team’s tech lead and manager, you will break down larger projects into individual tasks, deliver them in multiple phases, and collaborate with others to ensure timely delivery of your work. You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. You will support the

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. Marketing & Privacy Engineering (MPE) builds trusted, privacy-aware consumer web experiences and measurement systems that enable sustainable growth. Within MPE, the MarTech pillar owns Affirm’s Logged-Out Web experiences, web experimentation, client-side tagging, marketing technology integrations, attribution, and measurement. As a Software Engineer II on MPE, you will build and improve high-traffic consumer web experiences while contributing to the experimentation, instrumentation, and marketing integrations that help Affirm understand and grow consumer acquisition. You will work in a modern web stack across React, TypeScript, shared component systems, testing, performance, and observability, with opportunities to develop deeper expertise in technologies such as Google Tag Manager, analytics and experimentation platforms, conversion tracking, and marketing APIs. You will partner with senior engineers as well as Product, Design, Marketing, Analytics, and Data Engineering to ship reliable experiences and ensure measurement and privacy requirements are considered during development. This role is a strong fit for an engineer who enjoys building polished web products, learning new technical domains, and taking increasing ownership of systems that operate at scale. What You'll Do With the support of your team’s tech lead and manager, you will break down larger projects into individual tasks, deliver them in multiple phases, and collaborate with others to ensure timely delivery of your work. You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. You will support the

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . The User and Content Foundations org is responsible for deeply understanding our content, users and their interactions by generating high-quality, reusable signals and insights that power relevance and personalization across the platform. We work at the intersection of distributed machine learning, large multimodal models, data infrastructure, and product adoption to build foundational capabilities that support our partners, including Discovery, Search, Growth, and Ads. We are looking for an experienced Staff Machine Learning Engineer / Technical Lead who can drive the team’s technical direction, lead the team in building scalable content understanding systems, and make an impact on core Pinterest user and business outcomes. In this role, you will lead ambiguous, high-impact scientific and engineering efforts that create reusable represent

About this role At Chime, we help our members achieve financial peace of mind. To do this we need features that are highly available and human & technical systems that are resilient. That’s where you come in. You will be a member of our Incident Response team to help Chime improve our readiness, response and drive organizational change from incidents. As an Incident Operations Manager on Chime's Incident Operations team (Platform Engineering), you'll manage incidents end to end: from declaration and coordination, through member communication and member remediation, to review and follow-through. You'll work across Engineering, Product, Member Experience (MX), Core Experience, Risk, Compliance, Legal, and Finance, and lead through influence rather than authority. You'll bring a proactive, solution-oriented mindset and keep the member at the center of every decision. Alongside on-call work, you'll own defined improvement workstreams that make our response better every quarter. In this role, you can expect to: Coordinate incidents end to end. Serve on the incident on-call rotation, including some after-hours coverage on weekends, nights, and holidays. Independently run incidents from declaration to resolution: setting severity, paging the right responders, running the bridge, confirming member impact, and driving mitigation decisions. Help drive communication during incidents. Draft clear, accurate member messages across in-app, push, inbox, email, and support channels; move them through Compliance and Legal approval within severity-based timelines; and keep Support and MX teams equipped with talking points. Drive member remediation to closure . Run the Remediating phase: define workstreams, DRIs, and exit criteria; partner with Data to size the impacted population; coordinate credits and bulk adjustments with Finance, Compliance, and Core Experience Keep stakeholders informed. Deliver timely status reports and sitreps for leadership, and supply impact summaries and

Asana is seeking an experienced and empathetic Software Engineer to join our AI Teammates Experience team. Asana’s AI Teammates are fundamentally changing the way teams collaborate in and outside of Asana by giving teams access to AI agents that can take on tasks and collaboratively work with human colleagues to complete them. You’ll be building engaging experiences that enable our customers to work effectively with their AI Teammates. You’ll build the interaction and product surfaces for teams, users, and admins, working closely with foundation teams on prompting systems, evaluation/testing infrastructure, and agent capabilities. We’re looking for an engineer who is passionate about AI, curious to learn about everything from how people interact with agents to prompt engineering. This role can be based in our San Francisco offices with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. About the team AI Teammates Experience owns the end-to-end user-facing experience of AI Teammates, from first discovery and adoption through ongoing collaboration. We build for three core audiences: teams, admins, and individual users. We help teams create, discover, interact with, and manage their AI Teammates; help admins deploy AI Teammates successfully in their organization; and help users discover and work with their Personal Teammates. About Asana AI Teammates AI teammates are autonomous, specialized AI agents designed to work alongside human teams, handling complex, multi-step workflows like product management, customer service, and sales. They can help teams make progress across workflows around the clock, share context to boost productivity, and act as collaborato

About the Team DoorDash’s ML Serving Platform delivers tens of millions of predictions per second , powering search, recommendations, advertising, delivery estimates, and logistics across DoorDash, Wolt, and Deliveroo. Our customers are modelers and engineering teams across our internal business verticals. We build self-serve infrastructure that empowers them to bring new models into production, adopt open source software and models, and expand what they can accomplish with machine learning at scale. We work at the intersection of a rapidly evolving open source ecosystem and demanding production workloads. With active customer demand and growing modeling ambitions, we’re advancing the infrastructure behind today’s predictions while building the capabilities that enable the next generation of ML innovation. About the Role You’ll help build the next generation of our ML serving platform, connecting request routing and online feature retrieval with model inference on CPU and GPU infrastructure. You’ll tackle challenging infrastructure problems involving latency, reliability, resource efficiency, and scale, and make those capabilities accessible through self-serve tools and workflows. Working alongside experienced platform engineers, you’ll own defined projects from technical design and implementation through testing, rollout, and production support. You’ll partner directly with internal teams to understand emerging modeling requirements, remove adoption barriers, and turn advances in open source technology into measurable production improvements. You’re excited about this opportunity because you will… Empower modelers through self-serve infrastructure. Build tools, APIs, and workflows that help internal teams deploy, configure, validate, and operate models independently, accelerating ML adoption across business verticals. Bring open source innovation into production. Evaluate and integrate evolving inference frameworks and enable open source models, translating promisi

About the Team DoorDash’s GenAI Platform team sits within Machine Learning Platform and builds the shared infrastructure that helps DoorDash, Wolt, and Deliveroo teams safely bring GenAI-powered products, agents, automation, and personalization to production. Our mission is to increase the velocity of business impact from GenAI. A central pillar of that work is running frontier open-weight LLMs and VLMs (such as GLM, Qwen, Kimi, and DeepSeek) ourselves — real-time GPU serving, high-throughput batch inference, and fine-tuning on autoscaling GPUs — delivering large cost and latency wins (for example, a billion embeddings produced roughly 20× cheaper and visual models served roughly 72% cheaper). We also own core platform surfaces including the LLM Gateway, Agent Gateway, evals infrastructure, guardrails, and cost attribution. About the Role You will join a small, high-leverage team building production infrastructure for Generative AI at DoorDash, with a primary focus on our open-weights model platform spanning inference and fine-tuning: real-time GPU serving, high-throughput batch inference, and model fine-tuning. You’ll work across model serving and inference engines, fine-tuning and training pipelines, GPU autoscaling and utilization, batch pipelines, backend services, and observability. This role is ideal for an engineer who enjoys pushing the cost/performance frontier of GPU inference and fine-tuning in a fast-moving technical area where product needs, model capabilities, vendor ecosystems, and cost/performance tradeoffs are evolving quickly. You’re excited about this opportunity because you will… Build the infrastructure that helps DoorDash teams move GenAI ideas from prototype to production, increasing the velocity of business impact from AI across the company. Work on our open-weights serving stack — real-time GPU endpoints, high-throughput batch inference, and fine-tuning (SFT/DPO/LoRA) — alongside the LLM Gateway, Agent Gateway, evals infrastructure, guardrai

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The position of the Senior Value Engineer is a trusted advisor helping customers achieve their strategic goals and realise significant value using the Celonis Process Intelligence Platform. A Value Engineer has full responsibility for the end-to-end value journey of our customers – landing, expanding, adopting and renewing. Responsibilities include translating customers’ objectives into value assessments or proof-of-value projects, building specific Celonis business cases and demos, running value workshops, and engaging with multiple senior stakeholders to deliver value driven results and secure long term partnership agreements. The Role: You are spearheading our mission of data-driven business transformation with our customers. You will work in partnership with the Celonis Sales Teams and have full responsibility for the end-to-end value journey of our customers. You are our customers' trusted advisor and help them achieve their strategic goals and realize significant value using Celonis Process Intelligence Platform. In collaboration with our partners and Celonis Services, you will drive measurable business impact across various processes and industries and accelerate the adoption of our platform. You will blend deep p

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The position of the Senior Process Intelligence & Supply Chain Transformation Consultant - Manufacturing/Production (Internal Title: Senior Value Engineer ) is a trusted advisor helping customers achieve their strategic goals and realise significant value using the Celonis Process Intelligence Platform. A Value Engineer has full responsibility for the end-to-end value journey of our customers – landing, expanding, adopting and renewing. Responsibilities include translating customers’ objectives into value assessments or proof-of-value projects, building specific Celonis business cases and demos, running value workshops, and engaging with multiple senior stakeholders to deliver value driven results and secure long term partnership agreements. The Role: You are spearheading our mission of data-driven business transformation with our customers. You will work in partnership with the Celonis Sales Teams and have full responsibility for the end-to-end value journey of our customers. You are our customers' trusted advisor and help them achieve their strategic goals and realize significant value using Celonis Process Intelligence Platform. In collaboration with our partners and Celonis Services, you will drive measurable busi