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Engineering Execution Manager Jobs

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

V
18 days ago

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 As an NPI Program Manager on our Hardware team, you will play a pivotal role in ensuring build readiness as we work to develop and manufacture our cutting-edge new hardware programs in our NPI phases. A preferred candidate is one who excels at communication and problem solving in a fast paced dynamic environment. This is a full-time, in-person role based in our Taipei, TW office. What You’ll Do Work closely with our hardware EPMs, engineers & JDM partners to manage “clear to build” (CTB) readiness for each NPI build including analysis and reporting Support a successful transition from NPI to MP phases with our supply chain team Manage relationships with our JDM vendors and sub-tier vendors Audit sustaining production quality after PVT/MP1, and whenever a JDM transfers a line to a new factory Lead test strategy and hands-on

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Mixpanel
📍 United States• Remote
18 days ago

About Mixpanel Mixpanel is the leading product intelligence and analytics platform, trusted by more than 29,000 companies to help understand how people use the products they build. By combining powerful analytics with AI that knows your business, Mixpanel helps teams see what’s working, diagnose what’s not, and decide what to build next. Learn more at mixpanel.com . About the Customer Engineering Team Mixpanel's Customer Engineering teams are analytics consultants who embed themselves within our enterprise customer teams to drive business outcomes. We work with prospects and customers throughout the customer journey to understand what drives value, and serve as the technical counterpart to our Sales organisation to deliver on that value. You will partner closely with Account Executives, Customer Value Architects, Product, Engineering, and Support to successfully roll out self-serve analytics within our customers' organisations, help manage change, execute on technical projects and services that delight our customers, and ultimately drive ROI on the customer's Mixpanel investment. About the Role Our Customer Engineers are inquisitive, nimble, and able to clearly articulate the technical benefits and requirements of Mixpanel to developers and product managers, while also communicating the business value of our product to senior executives. In your first month, you'll become a Mixpanel expert—both in features and functionality as well as implementation. You'll shadow customer calls and demos with current Customer Engineers and Account Executives while learning to articulate our value proposition, and be trained on Mixpanel's internal systems and tools. Within your first three months, you'll be directly involved in deal cycles with Account Executives. You'll lead the technical qualification for customer use cases and deliver customised demos for prospects and existing customers, working directly with leadership at the prospect's organisation to understand business chall

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S
Sardine
📍 United Arab Emirates• Full-time• Remote• AED 320K – AED 440K/yr
18 days ago

Who we are: Sardine is the leading agentic risk platform for fighting financial crime. Our integrated solution unifies data across risk teams to help organizations stop fraud in real time, prevent AI-driven attacks, and automate fraud and AML operations. Sardine’s platform is strengthened by one of the fastest-growing fraud consortiums in the market, spanning more than 6 billion profiled devices, 800 million consumers, and 3 million businesses worldwide. Leading companies including FIS, GoDaddy, Intuit, Edward Jones, ZoomInfo, and Checkout.com rely on Sardine to secure and grow trust in their products. Our culture: We hire talented, self-motivated individuals with extreme ownership and high growth orientation. We value performance and not hours worked. We believe you shouldn't have to miss your family dinner, your kid's school play, friends get-together, or doctor's appointments for the sake of adhering to an arbitrary work schedule. We're a remote-first team spread across time zones, so no office to report to - work from wherever helps you do your best work. Just a couple of things to keep in mind: pay is based on where you're located, and you'll need to keep a home base in the country you're hired in. So while we love the "coffee shop today, mountains tomorrow" life, this isn't a passport-optional, work-from-anywhere-on-Earth kind of remote - think flexible within your country, not borderless. Location: Remote - United Arab Emirates About the role: We’re looking for an experienced Support Engineer to join our team and own the technical and functional customer support experience end-to-end. This role sits at the intersection of technical support, engineering, and customer success. You’ll become a product expert, working closely with customers, third-party providers, and internal engineering teams to troubleshoot, resolve, and prevent issues across Sardine’s API-driven platform. You’ll operate independently with global teammates and will play a critical role in main

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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 Team: Global Value Engineering Center of Excellence Become an integral part of our international, diverse, and dynamic Global Value Engineering Center of Excellence. Our Value Engineers are trusted advisors who operate at the intersection of technology and business , partnering with sales and customers to develop compelling Celonis-powered solutions and prototypes that address critical business challenges. We foster a fast-paced, collaborative environment built on trust, continuous learning, and mutual growth through coaching and mentorship. The Role: Launch Your Enterprise Software Career Kickstart your career in enterprise software through our immersive 12-month Orbit Program . This program offers a unique blend of client engagements, dedicated mentorship, and a strong team culture where collaboration and shared success are paramount. You'll leverage your technical background to develop essential Value Engineering skills, build lasting client relationships, and establish yourself as a trusted advisor, paving the way for significant career growth within Celonis. The Orbit Program is structured into classes and cohorts , with start dates organized twice a year. You'll likely join a cohort with a summer start date (June/July) or

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Cloudflare
📍 Hybrid• Hybrid• $204K – $321K/yr
19 days ago

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: New York City 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. I

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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 Team: Global Value Engineering Center of Excellence Become an integral part of our international, diverse, and dynamic Global Value Engineering Center of Excellence. Our Value Engineers are trusted advisors who operate at the intersection of technology and business , partnering with sales and customers to develop compelling Celonis-powered solutions and prototypes that address critical business challenges. We foster a fast-paced, collaborative environment built on trust, continuous learning, and mutual growth through coaching and mentorship. The Role: Launch Your Enterprise Software Career Kickstart your career in enterprise software through our immersive 12-month Orbit Program . This program offers a unique blend of client engagements, dedicated mentorship, and a strong team culture where collaboration and shared success are paramount. You'll leverage your technical background to develop essential Value Engineering skills, build lasting client relationships, and establish yourself as a trusted advisor, paving the way for significant career growth within Celonis. The Orbit Program is structured into classes and cohorts , with start dates organized twice a year. You'll likely join a cohort with a summer start date (June/July) or

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DU
DoorDash USA
📍 San Francisco• $193.8K – $285K/yr
19 days ago

About the Team At DoorDash we’re building the industry’s most scalable and reliable delivery network to support our three-sided marketplace of consumers, merchants, and Dashers. DoorDash Labs is an independent team within DoorDash pioneering new delivery modalities including Air, our drone delivery program. If you have a passion for applying autonomous aviation technologies in a service used by millions of people, then we want to talk to you! About the Role Our team is looking for a Staff Security Engineer who will act as the primary security partner to DoorDash Labs - Air, our drone delivery program. This role owns the security strategy for our fleet of drones, ground infrastructure, and the software and networks that connect them. We’re looking for a highly technical, hands-on security engineer with deep experience securing IoT or robotic platforms, who can work independently and coordinate across engineering, hardware, and operations teams to drive security objectives and validation. This role is based in the San Francisco Bay Area, with the expectation of coming into the office once a week, and periodic travel to test and production sites. You’re excited about this opportunity because you will… Own and drive the security strategy for drone delivery including drone authentication systems, ensuring only trusted drones and operators can access DoorDash Labs - Air systems and networks. Secure the physical and software layers of our drones and drone infrastructure, from firmware and onboard software to the physical hardware itself. Secure the physical and software layers of our nests (drone docking and charging infrastructure) and related ground infrastructure. Design and implement secure networking architecture across drone, nest, and ground systems. Review RFCs and design documents for new Air features and infrastructure, providing security guidance early in the development lifecycle. Visit test or production sites at least once a quarter to assess security control

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19 days ago

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. The User Life Cycle team owns how people discover Roblox, become active, and stay engaged over time. Growth and Marketing are central to that journey, and the quality of our data determines how well we can invest: which channels bring in people who stay, which campaigns actually move the needle, and where people drop out of the funnel. As a Senior Data Engineer embedded in Growth Org, you will build the data foundation behind our marketing measurement and growth flywheel. That includes the pipelines and models that power Marketing Mix Modeling (MMM), multi-touch and incrementality-based attribution, and end-to-end funnel analytics from first touch to long-term retention. You will work side by side with Marketing, Data Science and Product, and you will report directly to the Engineering Director. You Will: Design, build and operate reliable batch and streaming pipelines that unify paid, owned and organic marketing data (spend, impressions, installs, sessions, conversions) with in-platform user behavior. Own the data foundation for MMM: build well-documented, versioned, analysis-ready datasets and backfills that Data Science can use to train, refresh and validate models on a regular cadence.

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Pinterest
📍 San Francisco• Remote• $8.3K – $11K/mo
19 days ago

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 . We’re looking for inquisitive, collaborative interns to join our engineering teams. Working closely with mentors and product, design, data, and backend engineers, you’ll learn how large-scale systems operate and use modern AI-assisted tools to help build new technologies, features, and tools. Expect real projects, supportive teammates, and plenty of opportunities to explore ideas that make a difference for our teams and Pinners. What you’ll do: Demonstrate accountability and quality in your work while receiving support and guidance from your mentor, manager, and peers Execute scoped technical tasks end-to-end to help build the future of Pinterest Deliver code that is well-documented, tested, and operable Leverage AI tools in your daily engineering workflow to accelerate delivery—brainstorming approaches, writing and refining code, and producing

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Pinterest
📍 Toronto• C$8K – C$8.6K/yr
19 days ago

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 . As a Machine Learning Intern at Pinterest, you’ll apply machine learning and AI to product and engineering challenges. You’ll work with engineering, product and data teams to prototype, evaluate and improve ML-powered features and discovery experiences. Throughout your internship, you’ll contribute to real projects, learn how large-scale ML systems are developed and build practical skills with guidance from experienced engineers. What you’ll do: Own a scoped machine learning project from problem definition through experimentation, implementation and communication of results, with guidance from your manager and team Contribute to applied machine learning and AI research that informs Pinterest product experiences Collect, analyze and synthesize data to develop data-driven machine learning models Write clean, efficient and maintainable code, suppor

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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 . As a Machine Learning Intern at Pinterest, you’ll apply machine learning and AI to product and engineering challenges. You’ll work with engineering, product and data teams to prototype, evaluate and improve ML-powered features and discovery experiences. Throughout your internship, you’ll contribute to real projects, learn how large-scale ML systems are developed and build practical skills with guidance from experienced engineers. What you’ll do: Own a scoped machine learning project from problem definition through experimentation, implementation and communication of results, with guidance from your manager and team Contribute to applied machine learning and AI research that informs Pinterest product experiences Collect, analyze and synthesize data to develop data-driven machine learning models Write clean, efficient and maintainable code, suppor

pythonjavamachine learning
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P
19 days ago

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 . We’re looking for Data Science interns to help evolve and shape the future of our product -- inspiring Pinners and connecting them with actionable content, understanding advertisers and measuring the value Pinterest provides to them, and enabling our employees to evaluate potential product changes faster than ever before. You’ll apply quantitative analysis, statistical techniques, modeling and data mining while working cross-functionally with engineering and product partners. The results of your work will influence the team roadmap, identify actionable product opportunities, refine our experimentation platform, and drive key initiatives, turning your insights and analyses into real-world products. Note to applicants: By applying to this role, you will be considered for multiple intern roles open across our various DS teams. Please only app

pythonsqlmachine learning
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Pinterest
📍 San Francisco• From $12.1K/mo
19 days ago

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 . We’re looking for Data Science interns to help evolve and shape the future of our product -- inspiring Pinners and connecting them with actionable content, understanding advertisers and measuring the value Pinterest provides to them, and enabling our employees to evaluate potential product changes faster than ever before. You’ll apply quantitative analysis, statistical techniques, modeling and data mining while working cross-functionally with engineering and product partners. The results of your work will influence the team roadmap, identify actionable product opportunities, refine our experimentation platform, and drive key initiatives, turning your insights and analyses into real-world products. Note to applicants: By applying to this role, you will be considered for multiple intern roles open across our various DS teams. Please only app

pythonsqlmachine learning
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P
Pinterest
📍 United States• Remote• From $11K/mo
19 days ago

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 . We’re looking for inquisitive, collaborative UX Quantitative Research interns to bring statistical rigor to product decisions. Partnering with mentors across product, design, data, and engineering, you’ll craft surveys, model attitudes alongside usage data, and translate complex findings into compelling narratives for our teams. Expect real projects, supportive teammates, and opportunities to shape Pinterest experiences that are impactful, inclusive, and meaningful for our Pinners. What you’ll do: Influence and evolve our product roadmap to help us fulfill our mission - to bring everyone the inspiration to create a life they love - using data and exploratory analysis to understand user behavior and trends, and identify opportunities for product innovation. Use surveys to gather insights about Pinner, Merchant, Creator, or Advertiser sentiments a

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Pinterest
📍 San Francisco• $174.1K – $229K/yr
19 days ago

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 . With more than 640 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers help build personalized experiences to help Pinners create a life they love. At Pinterest, you’ll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won’t find anywhere else. By applying to this role, you will be considered for multiple roles open across our various ML teams. Please only apply once within the USA or Canada as multiple applications may delay our recruitment process. This is a general posting for multiple roles open across our various ML teams. You will have the opportunity to work on a very large scope of problems in recommender systems, search, ads, ranking, natural language processing, graph representation learning, personalization, etc. A

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