Engineering Execution Manager Jobs

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 looking for a Solution Engineer who is accustomed to solving customer’s most complex problems and closing large deals. In this role you will work directly with the sales team and channel partners to understand the needs of our customers, strategize on how to navigate winning sales cycles, provide compelling value-based demonstrations, support enterprise Proof of Concepts, and ultimately close business. As a Snowflake Solution Engineer you must share our passion about reinventing the database space, thrive in a dynamic environment and have the flexibility and willingness to jump in and get things done. You are equally comfortable in both a business and technical context, interacting with executives and talking shop with technical audiences. This is a location-specific role; candidates must be located within commuting distance of São Paulo, Brazil. IN THIS ROLE YOU WILL GET TO: Present Snowflake technology and vision to executives and technical contributors at prospects and customers Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation Immerse yourself in the ever-evolving industry, maintaining a deep understanding of competitive

What We Do: Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact. Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection. Huntress now secures more than 5M endpoints and 16M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other. Reports to: Director, Engineering Location: Remote US, Only Compensation: $215,000 to $240,000 base plus bonus and equity What You’ll Do: Huntress is building an Agentic SOC. When our detection pipeline raises a signal, an LLM-based agent picks it up and investigates it end-to-end. It gathers telemetry across our products, reconstructs what happened, and makes a well-documented determination about whether the activity is malicious. Over time, it will take on more of the work itself, growing from resolving routine cases to acting fast when it finds an attack and handing analysts cases with the evidence already assembled. We’re hiring a Principal Software Engineer to head this effort. This system is meant to augment our analysts, not replace them. It takes the high-volume, repetitive work off their plates so they can focus on complex cases and hands-on keyboard intrusi

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. About Celonis Celonis is the trusted platform to industrialize Enterprise AI, empowering organizations to analyze, design, and operate AI-driven processes. The Celonis Platform is powered by the Celonis Context Model, which combines process data, business knowledge, and operational intelligence to create a living digital twin of the enterprise that AI can understand—turning AI's operational blind spots into operational clarity. By providing the essential business context that AI agents and tools need to act effectively, Celonis makes AI truly enterprise-ready. Industry-leading companies around the world trust Celonis and its global partner ecosystem to make their AI agents, people, systems, and processes work together to achieve transformational outcomes. Headquartered in Munich, Germany, and New York City, USA, Celonis operates globally with over 20 offices worldwide. About the Role Based at our global headquarters in Munich , as a Business Transformation and Value Consulting Manager / Director (internal title: Value Engineering Manager / Director) for CPG & Retail , you will hold full operational and leadership responsibility specifically for the CPG & Retail segment across the DACH region . In this role, you will le

FEQ327R526 Solutions Architect (L5) 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. 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 proficiency rapidly) with a developing technical specialization in one area (e.g., real-time/streaming,

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. ML Platform powers hundreds of use cases and billions of inferences per day across Discovery, Safety, Economy, and Creation. We build the primitives that let teams train, evaluate, deploy, and operate models quickly and safely—so a new ML idea can reach production in weeks or less. We’re looking for a Principal Platform Engineer who treats platform as a product : someone who can turn complex ML/AI infrastructure into clear, durable APIs, SDKs and easy-to-use CLIs/UIs that our internal developers love. This role blends product thinking, developer experience, backend engineering, and infrastructure at scale. Hands‑on ML experience is a plus; a track record of building internal platforms that developers love is a must. You Are Have 7+ years of professional experience and have a wealth of system design experience upon which to draw to build a scalable, reliable ML platform for all of Roblox. A Code Machine; you love not only to design and communicate ideas but also to actually ship product. You obsess about user feedback, and constantly drive towards getting platform features in customers hands. Proficient in API design and developer experience—gRPC/REST APIs, SDKs, CLIs, and simple UIs that de

The AI organization at Asana builds the platform and products that bring AI into how the world's teams work. That includes AI Teammates that take on work alongside people, the orchestration layer that lets agents plan and act across the Work Graph, and the AI platform that every AI feature at Asana runs on. The platform covers model access, retrieval, context, evaluation, and production quality. We are looking for a Senior Staff Software Engineer to set technical direction across this organization. You will lead the hardest cross-team problems in AI at Asana, make architectural calls that hold up as models and the industry shift underneath us, and help senior leadership shape where AI takes the product next. The scope spans multiple engineering teams across San Francisco, New York, Vancouver, and Warsaw. This role is based in our San Francisco office 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. What you’ll achieve Define the technical vision and architecture for Asana's AI Org that includes AI platform, Agent systems and Studio in partnership with engineering and product leadership Partner with Product, Design, Data Science, Security, and Legal to take ambitious AI products from prototype to reliable, trusted enterprise features Lead strategic initiatives that span multiple teams, such as agent runtime and orchestration, context and memory for agents grounded in the Work Graph, and reliable, cost-efficient LLM inference at enterprise scale Set the bar for how Asana measures AI quality, including offline and online evaluation, production monitoring, and the feedback loops that turn real usage into better agents Make and guide high-stakes technical d

Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. About the Role Verkada is seeking an Enterprise Field Solution Engineer in Alberta with expert experience in Cloud Security, IoT Systems, Networking, Linux systems, Security Surveillance and Access Control. This individual will partner directly with their territory account executives to expand the Verkada footprint upmarket into Fortune 500 companies. Responsibilities include directly interfacing with customers/partners throughout the sales process, overcoming technical objections, assisting customers in designing deployments with Verkada Products and providing technical assistance to territory account reps. The ideal candidate will be highly motivated, able to learn quickly and work independently while making impactful results for the company remotely. What You'll Do Technical Leader: Be the subject matter authority on the full Verkad

About the Team DoorDash is one of the world's most trusted on-demand logistics platforms. The Global Safety and Security team exists to keep it that way, protecting our people, property, operations, brand, and reputation across all our markets. We manage risk and create value through agility, technology, and a people-first approach. Our DoorDash, Deliveroo, and Wolt brands now span more than 40 countries, dozens of offices, and tens of thousands of employees. Protective Services focuses specifically on the safety of our executives, their families, and the operations that support them. Its detection engineering function brings together enterprise, marketplace, open-source, and physical security signals to identify threats that do not fit within a traditional SOC boundary. This role builds the detection capabilities that turn those signals into timely, actionable information for Protective Services. About the Role We are hiring a Senior Detection Engineer to build and improve the technical capabilities Protective Services uses to identify threats to protected individuals. You will develop detections, pipelines, enrichment, and automation across enterprise security telemetry, marketplace signals, open-source information, and physical security systems. This detection problem extends beyond conventional cybersecurity alerts. Relevant indicators may appear across identities, endpoints, cloud environments, support interactions, marketplace activity, access-control events, or unstructured online content. You will determine how to combine those signals, distinguish meaningful escalation from noise, and directly investigate resulting activity alongside Protective Services partners. That proximity to active cases grounds engineering decisions in real investigative needs and reveals opportunities to improve fidelity, automate friction, and reduce time to action. This is a hands-on security engineering role. You will work in code, queries, data pipelines, detection repositories,

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: The Quality Engineering team helps Airbnb build high-quality software efficiently. We enable Airbnb engineers to build highly testable systems by building and using tools leveraging AI. We own and continuously improve product test cases, automation coverage, test automation tools, environments, and frameworks. We navigate Airbnb’s massive codebase, identifying weak spots, and help design and implement testable, fault-tolerant systems. The Difference You Will Make: Be a leader in Airbnb leveraging AI to redefine and accelerate Quality Engineering. As a Senior Software Engineer - Fullstack, you will help us meet this challenge by building and evolving comprehensive automation coverage for features and releases. You will work directly with the product engineering team to develop and maintain our test tools, write and test product code, participate in design reviews to architect testable systems, and guide designs and code to enhance modularity and testability. You are eager to understand complex systems top to bottom and thrive working across technologies and codebases. In addition, you excel at working through ambiguity, concept validation, and implementing best-in-class solutions. As a global company, our mission is to develop and maintain the necessary quality engineering processes that scale to meet the needs of both our external customers and internal teams. We strive to ensure that our product and support workflows deliver a seamless experience for guests, hosts, and support agents. A Typical Day: Leverage AI and tooling to lead the implementation of a tes

Modernize business-critical applications through Unix/Linux development, automation and containerization. The Role Capco is looking for a Unix/Linux Developer to support a major application modernization initiative focused on upgrading legacy applications, Unix scripts and their supporting technology. This is a hands-on development role where you’ll modernize and refactor legacy Unix scripts, build automation and help applications transition successfully into modern containerized environments. You’ll work across Unix/Linux, Docker, OpenShift, Kubernetes and AWS, ensuring scripts and application components continue to function reliably as the underlying technology evolves. You’ll work closely with development and technology teams to solve modernization challenges, improve automation and support the successful migration of established applications to more modern, maintainable environments. What You’ll Do Upgrade, refactor and modernize legacy Unix scripts and associated application components to support wider application modernization. Develop and maintain automation using Bash, PowerShell, Python and Groovy, reducing repetitive operational tasks and improving delivery efficiency. Support the containerization and deployment of applications using Docker and Docker Swarm across OpenShift Container Platform (OCP) and Kubernetes environments. Work with AWS and DevOps tooling to support application builds, deployments and migrations into modern environments. Develop and troubleshoot solutions across Linux and Windows environments, working with application technologies including JBoss, Apache Tomcat, Nginx and HAProxy. What We’re Looking For 5–6 years of Unix/Linux development experience, including experience upgrading and refactoring legacy Unix scripts as part of application modernization. Hands-on experience with Docker and containerization, including application deployment to OpenShift Container Platform (OCP) and Kubernetes clusters. Experience working wi

Work directly with clients to turn business problems into production-ready AI solutions. The Role As an AI Engineer , you’ll work directly with our clients to understand business problems and turn them into working AI solutions. Combining hands-on engineering with a consulting mindset, you’ll take ideas from initial requirements through prototyping, demonstration, iteration, and deployment. This is a client-facing, forward-deployed engineering role. You’ll work closely with business stakeholders to understand what they are trying to achieve, help shape the right solution, and then build it. You’ll need to be as comfortable discussing requirements and demonstrating a solution with business teams as you are writing Python and developing AI agents. You won’t be tied to a single technology or environment. You’ll work across different client architectures and platforms, adapting to environments such as Snowflake and Databricks and selecting the right approach for each use case. Success in your first few months will mean building strong relationships with business stakeholders and successfully delivering an AI use case from business problem through to a working solution. What You’ll Do Work directly with business stakeholders to understand their problems, uncover requirements, and translate them into practical AI solutions. Design, build, test, demonstrate, and deploy AI agents and agentic solutions that solve real business problems. Take ownership of hands-on engineering across the solution lifecycle, from rapid prototypes through iteration and deployment. Work across different client technology environments and platforms, adapting your approach to the architecture, data, and tools available. Demonstrate solutions to business stakeholders, gather feedback, and collaborate across product, data, technology, and business teams to continuously improve what you build. What We’re Looking For 2+ years of relevant software, data, or AI engineering experience, with hands-o

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Location: San Francisco, CA About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of cod

Turn AI opportunities into measurable business outcomes while building lasting product capability. The Role As an AI Product Management Coach, you’ll combine hands-on AI product management expertise with coaching and capability building. You’ll work alongside client teams to identify where AI can solve meaningful business problems, prioritise the right use cases, and translate opportunities into products and applications that deliver measurable business value. A key part of your role will be coaching and enabling client Product Owners and business stakeholders. You’ll help establish a product ownership mindset where the business takes accountability for its applications, their ongoing development and maintenance, and the business outcomes they are expected to deliver. You won’t simply advise from the sidelines. You’ll bring practical product management experience, working alongside client teams to demonstrate effective approaches, influence decisions, and build the skills and confidence they need to take ownership themselves. Success in your first few months will include building strong relationships with client product and business counterparts, influencing the identification and prioritisation of AI use cases, and establishing an effective approach to product ownership and capability building. What You’ll Do Coach and enable client teams to develop strong AI product management and Product Owner capabilities. Partner with business stakeholders to identify, assess, and prioritise AI use cases that solve real business problems and create measurable value. Translate selected opportunities into products and applications focused on efficiency, cost savings, improved experiences, revenue potential, and other measurable business outcomes. Help establish clear business ownership of applications, including accountability for performance, maintenance, adoption, continuous improvement, and outcomes. Bridge AI and business conversations, translating technical pos

Who are we: Graviton Research Capital is one of the largest quantitative trading firms emerging out of APAC, with a strong footprint across 40+ global exchanges and a rapidly growing presence across Europe and the USA. We’re privately funded, long-term focused, and deeply invested in building high-performance teams that operate at scale in some of the most competitive markets globally. Role Overview: Managing Data Centre facility by interacting with different vendors Support the installation, monitoring, maintenance, and overall upkeep infrastructure and systems Liaising with third parties to maintain communication lines and data center infrastructure Monitor technical progress, track project deliverables, and provide regular status updates. Handle equipment procurement, returns, shipments, and overall inventory management. Coordinate with local and remote teams to troubleshoot technical issues and ensure stable connectivity and operations. Key Skill Requirements: 2-5 years of working experience in a Data Center environment (racking & stacking gear, cable management) Experience working for an exchange- NSE/BSE/MCX Deep understanding of data center installation and cabling standards Knowledge of data center ecosystem (cooling, electrical, networking, and structured cabling) Open to provide after-hours support as needed (must) Ability to work independently, with little direct management. An understanding of networking and systems concepts (circuits, IP routing, consoles, networking)

CAPCO WAF & Security Automation Specialist About the Role We are thrilled to announce an exciting opportunity for a Technical Delivery Specialist to take the lead in coordinating Web Application Firewall (WAF) onboarding and related infrastructure activities within a dynamic banking environment! This is not a hands-on cybersecurity engineering role , and guess what? Previous cybersecurity experience is not required ! We’re looking for someone eager to dive into the world of technical coordination and delivery. Your mission will be to collaborate with application owners, developers, architects, infrastructure teams, and other stakeholders to ensure that WAF implementations and related changes progress smoothly and successfully. If you thrive in a complex banking/enterprise technology environment and enjoy managing multiple stakeholders while independently overseeing smaller technical projects, this is the role for you! What You'll Be Doing Coordinate WAF onboarding for applications from the initial request through to implementation and production/blocking mode. Collaborate with application owners, architects, developers, infrastructure teams, and WAF engineers to keep implementations moving forward. Coordinate WAF testing, tuning, and production changes to ensure optimal performance. Track actions, dependencies, blockers, and delivery dates to keep everything on track. Coordinate Change Requests (CRs) and implementation schedules like a pro! Manage several smaller technical initiatives/workstreams simultaneously with finesse. Maintain Jira boards, tickets, and delivery backlogs to keep everything organized. Coordinate infrastructure-related activities such as servers, load balancers, firewall rules, and certificates. Support improvements and automation of existing WAF processes to enhance efficiency. Coordinate operational activities such as patching, compliance requirements, and Disaster Recovery testing. Support urgent security changes, including the coor