Production Line Management Engineer Jobs

About Us Are you ready to build the future of the supply chain? At Gather AI, we're not just creating software; we're pioneering a new era of warehouse intelligence. We've developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining "on-time, in full" delivery. If you're looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We're leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time. About the Team You'll join the Data Platform team at its inception, helping establish the foundation from day one . Today, production and analytical workloads share a single database, and every product team defines its own metrics. This team exists to fix that: designing the warehouse, the transformation layers, and the semantic model that every product and dashboard will build on going forward, in close partnership with product, engineering, and security. About the Role Most data platform roles ask you to extend something someone else has already built. This one starts with a blank canvas. As Principal Data Engineer , you'll architect Gather AI's data foundation from the ground up: separating analytical workloads from live production traffic, building a semantic layer so metrics are defined once and stay consistent everywhere, and linking structured records to real drone imagery and video with full traceability. You'll prove the model end to end on Gather's drone product, then generalize it so every new product extends the foundation instead of rebuilding it, all while working as a Principal-level individual contributor with real influ

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 Team The AI Platform team is a newly formed team at the center of Mixpanel's AI-first analytics vision. With a greenfield charter, we're building the infrastructure that accelerates and transforms AI product development at Mixpanel, both internally and for our customers. We provide the tools to improve AI products, enabling internal teams and customer agents to build things that were previously unimaginable. We build shared infrastructure that is essential for developing AI features with confidence and speed, and that gives every agent the tools, context, and quality guarantees to act autonomously on behalf of users. Some examples of what we are building: Agent Optimization Framework: A system that optimizes AI products for quality, speed, and cost, using metrics from production and evals, given the context of the invocation. AI Agent Integrations and Accessibility: Products and tools that bring the power of Mixpanel to wherever it is most effective for our customers, including a Mixpanel slackbot, MCP, and a public skills library. AI Engine: Services that centralize core AI and LLM functionality at Mixpanel in order to accelerate AI development, compound the value of AI efforts, and provide customers with a consistent experience. Role Overview We are looking for a driven Software Engineer to join our AI Platform team. You will be responsible for building the scalable, secure, and reliable infrastructure that accelerates AI agent development. You will be a leader and key contributor in a small, fast paced, newly formed team with a mandate to empower AI development across the c

MongoDB Technical Services Engineers for Named Accounts, as part of the Premium Services team within Technical Services, will use their exceptional problem solving and customer service skills, along with their deep technical experience, to advise customers and solve their complex MongoDB problems. They are experts in one or more components of the MongoDB ecosystem - database server, drivers, our management suite, and services such as Cloud Manager (the online product we developed for customers for automation, backup, monitoring, and analysis of their MongoDB systems), and MongoDB Atlas. Our engineers combine their MongoDB expertise with passion, initiative, teamwork, and a great sense of humor to achieve exceptional results for our customers. We're looking to speak with candidates based in San Francisco or Palo Alto for our hybrid working model. Cool things you’ll do MongoDB is on a mission to change the way people think about databases. Along the way, our customers encounter questions and issues about how our approach to databases works for their use cases. In Technical Services, it's our job to help these people. You'll be primarily working alongside a handful of our largest enterprise customers - building a relationship, intimately guiding their use of MongoDB products and services, coordinating the resolution of their complex issues, - answering questions on architecture, performance, recovery, security, and everything in between. You'll be an expert resource on best practices for running MongoDB at scale, whatever that scale may be. You'll be an advocate for customers' needs, - interfacing with our product management and development teams on their behalf. What you need You should have 7+ years of database industry experience deploying and managing operational production databases at scale, both on premise and in the cloud. We encourage you to apply even if you’ve never used MongoDB before. We consider all candidates with an eye for those who are sel

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. Build the future of the AI Data Cloud. Join the Snowflake team. As a Senior Business Systems Analyst you will be supporting the Finance IT Systems and be responsible for liaison between the Finance business stakeholders and developers. You must have the ability to translate business needs into Functional specifications, design and develop solutions, configure finance systems, test and deploy them into production. You have a passion for working cross functionally and building solutions to support business processes and data flows and strength in solving platform issues with expert troubleshooting skills. This role will work closely with multiple departments and other business partners, as well as Executives in Finance, Security, IT and HR. What you will be doing Independently contribute to following areas - Support finance systems for Period close activities of Finance operations Automate Accounting Process using cutting edge technology Core Accounting, External reporting Transformation Projects Core Accounting, External reporting Operational changes FP&A business requests Identify Accounting/Finance process gaps and provide suggestions AI evangelist - Able to use best of class AI tools to quickly create wireframes, FSDs, use cases, test automations & other innovatio

About Hark Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory. We're pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world. To get there, we're developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems. About the Role We are looking for an exceptional Electronics Strategic Supply Chain Manager to own the sourcing strategy, commercial execution, and supply readiness for critical electronics used in next-generation AI hardware. This role is designed for a hands-on, high-ownership GSM with experience in high-volume electronics environments, including PCBA, EMS / contract manufacturing, semiconductor and passive components, RF / connectivity modules, flex circuits, and other board-level or module-level technologies. This is a build-and-scale role, not a maintenance role. You will define the electronics supply base, lead strategic sourcing decisions, negotiate commercial agreements, drive cost and capacity outcomes, and ensure suppliers can support aggressive NPI and mass production ramps. You will partner closely with EE, ME, PD, firmware, quality, operations, finance, legal, and manufacturing partners to move technologies from concept and prototype through New Product Introduction and sustained production. The ideal candidate has strong electronics commodity depth, sharp commercial judgment, technical fluency, and the operating intensity required to solve difficult allocation, lead ti

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. Binance is trusted by more than 320 million people in 100+ countries for its industry-leading security, transparency, trading engine speed, protections for investors, and unmatched portfolio of digital asset products and offerings from trading and finance to education, research, social good, payments, institutional services, and Web3 features. Binance is devoted to building an inclusive crypto ecosystem to increase the freedom of money and financial access for people around the world with crypto as the fundamental means. About Binance Accelerator Program Binance Accelerator Program (BAP) is a 3-6 month internship program designed for Early Career talent to have firsthand experience in the rapidly expanding digital assets space. You will be given the opportunity to develop your skills at Binance and understand what it’s like to work at the world's leading blockchain ecosystem. As part of your internship in the BAP, there will also be opportunities for networking and development, which will expand your professional network and build transferable skills to propel you forward in your career. Learn about the BAP Program HERE. Who may apply Current university students and recent graduates. *Terms of employment / engagement shall be subject to contract and local applicable laws About the Role We are building cutting-edge AI systems that enable the next generation of intelligent applications. Our team focuses on developing AI agents, benchmarking datasets, and robust infrastructure to support real-world deployments at scale. As part of our engineering-driven culture, you'll be exposed to a fast-paced environment where experimentation, collaboration, and innovation are encouraged. Responsibilities - Contribute to the design and development of AI agents integrated into live production systems - Help build and maintain b

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Job Description As a Central Planning Modeling Engineer, you will be a central contact for the manufacturing network, calculating and presenting capital impact of process changes to senior leaders in Manufacturing and R&D . You will be responsible for connecting many parts of the business in order to drive the execution of manufacturing and cost saving processes, including supply change, finance, engineering, procurement, production and planning. Innovation is highly valued at Micron, and you will have the opportunity to develop new tools to expedite, optimize and refine the planning and reporting processed used across the network. The ability to understand and effectively communicate the capital and operational impacts of manufacturing changes is important. Attention to detail and ability to work in where information is ambiguous will be extremely valuable Responsibilities Lead network tool utilizations strategies and benchmark performance to optimize the company’s deployed capital Lead and communicate improvement and implementation plan to all relevant levels and functions in Manufacturing Optimize capacity of install equipment and lead sites and tool level optimizatio

Who we are About the team Link is a digital wallet designed for effortless and secure online payments and digital transactions. With Link, consumers enjoy convenience and peace of mind—it works on any device or browser, is backed by the highest security mechanisms, offers purchase protections on eligible items, and ensures seamless and quick payments. Across the Link Engineering org, we focus on building delightful payment experiences and allowing our global consumer base to pay with their preferred payment methods. Our team's work spans the entire stack from front-end experiences, to infrastructure that supports low-latency transactions, to intelligent systems that help protect consumers and merchants from bad actors. Team matching for one of the subteams will begin during final stages. Please note we may also consider you for different orgs based on your experience, location, etc. More information on our team matching process can be found here . What you'll do We're looking for engineers who want to make an impact on payments at a global scale. You'll play a key role in expanding our product suite and the infrastructure that supports it. Our team collaborates with many cross-functional teams and many other teams across Stripe to deliver innovative solutions that address evolving user needs. Responsibilities Build and design the next generation of Stripe products to meet the high-growth needs of our company and customers for years to come Debug and solve critical production issues across services and multiple levels of the stack Mentor engineers to help them grow Collaborate with stakeholders across the company to build new features at large-scale, while improving internal engineering standards, tooling, and processes Collaborate effectively in a distributed and hybrid team, maintaining open communication and strong connections with colleagues Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these r

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the RL teams Our Reinforcement Learning teams lead Anthropic's reinforcement learning research and development, playing a critical role in advancing our AI systems. We've contributed to all Claude models, with significant impacts on the autonomy and coding capabilities of Claude Fable 5 and Opus 4.8. Our work spans several key areas: Developing systems that enable models to use computers effectively Advancing code generation through reinforcement learning Pioneering fundamental RL research for large language models Building scalable RL infrastructure and training methodologies Enhancing model reasoning capabilities We collaborate closely with Anthropic's alignment and frontier red teams to ensure our systems are both capable and safe. We partner with the applied production training team to bring research innovations into deployed models, and are dedicated to implement our research at scale. Our Reinforcement Learning teams sit at the intersection of cutting-edge research and engineering excellence, with a deep commitment to building high-quality, scalable systems that push the boundaries of what AI can accomplish. About the role We're hiring for the Code RL team within the RL organization. As a Research Engineer, you'll advance our models' ability to design silicon. Hardware design is difficult and unforgiving – exactly the sort of domain we want Claude to excel at. You'll leverage your chip design expertise and turn it into tasks and signals for models to learn from. Specifically, you will: Invent, design, and implement RL environments and evaluations for agentic RTL generation, design (including formal) verification, physical

We are the Experimentation team at Datadog, a startup operating inside one of the fastest-growing companies in software. The team brings together engineers who joined through Datadog’s May 2025 acquisition of Eppo with engineers from across Datadog, and together we are building feature flagging and experimentation into the platform. Both products were recently launched this year, and we are just getting started: we are migrating customers from Eppo onto Datadog while shipping an ambitious roadmap across both flagging and experimentation. Our statistics engineers hold PhDs and are pushing the boundaries of what an experimentation platform can do. Our full-stack engineers move fast, lean on the latest AI tooling, and prototype and ship new features weekly. We talk to customers directly to shape requirements, and our roadmap is driven by our own product vision and sharpened by real customer and sales input. We are looking for an Engineering Manager to lead the team building the Experimentation App. You will own one to two squads to start, partnering closely with our engineers, statisticians, product managers, and designers to turn a deep roadmap into a shipped product. To conform to US export control regulations, candidates should be eligible for any required authorizations from the US government. What You’ll Do: Lead, mentor, and grow a team of strong full-stack and frontend engineers. Help them grow to the next level and continuously provide them opportunities to develop. Own delivery for the Experimentation App from planning through production, balancing speed with quality in a fast-paced environment. Set technical direction in partnership with your team and our statistics engineers, engaging credibly on architecture and tradeoffs. Partner with Product, Design, and customers directly to shape requirements and turn customer and sales input into roadmap. Foster a culture of fast iteration and high engineering standards through code reviews, design reviews, and blamele

MongoDB is seeking a Software Engineer 3 to join the Documentation Platform Engineering Team. The Documentation Platform delivers 60M page views a year and is critical to our users’ understanding of MongoDB products.It is also increasingly the context engine that helps AI tools understand, surface, and recommend MongoDB correctly. You will contribute to the evolution of our documentation platform by building and improving internal infrastructure, integrations, and applications that support our documentation and learning experience. This role can be based out of one of our offices in Canada or the USA, or remotely in Canada or the USA. Our ideal candidate Hands-on experience and understanding of Git, TypeScript, React, Next.js, CI/CD, MDX and other markup languages Experience with MongoDB (or a strong track record of working with other databases) Has worked on complex, in-production web applications Deep understanding of TypeScript or JavaScript, preferably TypeScript Can write, discuss, and review code in a collaborative way Understands how to make resilient, scalable, and maintainable software Has 2+ years of professional experience building and maintaining production software systems At MongoDB, you will Contribute to the development and enhancement of the MongoDB Documentation Platform Explore ways to improve documentation accessibility, discoverability, and user engagement Develop features that enhance the user experience for documentation consumers and contributors Contribute to and occasionally lead small-to-medium scoped features and platform improvements, collaborating with partner teams as needed Analyze user

MongoDB is seeking a Software Engineer 3 to join the Documentation Platform Engineering Team. The Documentation Platform delivers 60M page views a year and is critical to our users’ understanding of MongoDB products.It is also increasingly the context engine that helps AI tools understand, surface, and recommend MongoDB correctly. You will contribute to the evolution of our documentation platform by building and improving internal infrastructure, integrations, and applications that support our documentation and learning experience. This role can be based out of one of our offices in Canada or the USA, or remotely in Canada or the USA. Our ideal candidate Hands-on experience and understanding of Git, TypeScript, React, Next.js, CI/CD, MDX and other markup languages Experience with MongoDB (or a strong track record of working with other databases) Has worked on complex, in-production web applications Deep understanding of TypeScript or JavaScript, preferably TypeScript Can write, discuss, and review code in a collaborative way Understands how to make resilient, scalable, and maintainable software Has 2+ years of professional experience building and maintaining production software systems At MongoDB, you will Contribute to the development and enhancement of the MongoDB Documentation Platform Explore ways to improve documentation accessibility, discoverability, and user engagement Develop features that enhance the user experience for documentation consumers and contributors Contribute to and occasionally lead small-to-medium scoped features and platform improvements, collaborating with partner teams as needed Analyze user

About the Team Enterprise Expansions is part of OpenAI’s Enterprise Engineering organization. We help organizations make ChatGPT Work part of everyday work, from discovering what it can do to building useful agentic workflows. Our goal is to help employees move from their first chat to confidently using AI to get work done. Our full stack work focuses on two workstreams: Agentic Activation: Help first-time chat users become effective agent users within their organizations. Bring organizational context into ChatGPT and build personalized onboarding, product education, and experiments that help people adopt agents in daily workflows. Work Discovery: Make relevant skills, plugins, capabilities, and context easy for knowledge workers to find and ready to use. Build discovery experiences across the frontend and backend. Across both workstreams, we ship quickly, learn from customers, and use experiments to improve adoption. About the Role We’re looking for a full stack engineer with strong frontend skills, product instincts, and UX and design taste. The work ranges from activating first-time users to helping knowledge workers discover the capabilities and context they need to make ChatGPT useful in their daily workflows. You’ll own projects from early prototypes through production and iteration, shaping interactions and building the backend services that support them. This role is a fit for someone who cares about the details of how a product feels and can turn an ambiguous user problem into a simple, polished experience. This role is based in San Francisco. In this role, you will: Build personalized onboarding and product education that help first-time ChatGPT users adopt agentic workflows. Create discovery experiences that make relevant skills, plugins, capabilities, and organizational context easy for knowledge workers to find and use. Shape product flows and implement polished interfaces, with careful attention to interaction details, accessibility, and responsiveness

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As Director, Engineering, Platform Operations & Productivity, you'll own three functions that all require hands-on technical depth, not just people management. Platform Staff is a small, senior, AI-native team that moves to wherever the organization needs the most leverage, from standing up early scaffolding for an initiative, to taking on a high-impact customer request that doesn't fit any existing team's charter, to stepping directly into a production crisis until it's resolved. This role is for a technical engineering director who has personally built distributed systems, not only managed people wh

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role This role is not a typical infrastructure operations role. As Manager, Engineering, Git & Gitaly Operations, you'll lead the team responsible for the infrastructure layer underneath Git at GitLab: the open source Git project itself, Gitaly, GitLab's Git storage and remote procedure call layer, and the services that make Git perform at enterprise scale. Git and Gitaly are core to GitLab. If they go sideways in production, they affect everything downstream, including continuous integration, code review, and deployments. This role starts with genuine subject matter expertise in Git technologies and exten