Production Supervisor Jobs

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g., Seaborn , Luigi ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We're looking for Forward Deployed ML Engineers who want to work at the intersection of deep technical work and direct customer impact. As an ML FDE, you'll partner with leading AI companies and foundation model labs to help them achieve state-of-the-art performance on their most demanding workloads — LLM serving, model training (SFT, RLHF), audio pipelines, scientific computing, and more. You're helping teams reach outcomes most engineers can't on their own. The FDE team today includes world-class software engineers, computational scientists, ML engineers, and former founders. We're looking for people with strong engineering fundamentals, deep curiosity across the AI stack, and energy for working directly with customers on hard problems. You will: Work hands-on with companies like Suno, Lovable, Cognition, and Meta to architect and optimize production AI workloads on Modal Contribute to open-sour

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the role: We're seeking an Engineering Manager, UX to help build the future of AI user interfaces. In this role, you'll build and manage a team that bridges design and engineering to create intuitive, performant user interfaces that make software creation accessible on any device. You'll guide your team in building production-ready frameworks and patterns that enable high-quality in-product experiences. You’ll also help your team build core user interfaces for interacting with AI. You will: Build, mentor, and grow a team of frontend engineers, reenforcing Replit’s culture of UI excellence and craft. Define the technical vision and strategy for building/extending user interface frameworks in order to help Replit ship high quality user experiences fast. Engage design and product engineering teams to understand, triage, and prioritize requirements. Set an ambitious vision for the future of AI user interfaces, and help the team sequence the steps to make it a reality. Help the Design team tastefully refine designs by taking into account technical constraints, timelines and resources. Use your deep understanding of technology, the product, and UI, to increase the quality, performance and usage of Replit’s most important surfaces. Required skills and experience: 4+ years of engineering management experience with a track record of building and scaling high-performing teams. Proven experience delivering ambitious projects that require coordinating across multiple teams / departments. Deep technical experience in many of the following: React, CSS, CSS frameworks, mobile web, Figma. Excellent communication skills to balance technical leadership with people management, including mentoring, performance management, and career

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g., Seaborn , Luigi ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: Modal is hiring a high-impact Solutions Architect to drive technical strategy across our most strategic enterprise accounts. You will operate as the executive technical counterpart to Enterprise Account Executives, leading complex evaluations, shaping infrastructure modernization roadmaps, and driving multi-product adoption across AI/ML workloads. This role is not demo support. It is a strategic, consultative position requiring strong architectural depth, executive presence, and the ability to influence 7–8 figure infrastructure decisions. You will work directly with CTOs, VPs of Engineering, and ML platform leaders to help them rethink how AI infrastructure should be built and operated. If you thrive in high-velocity technical sales environments and want to shape the infrastructure layer powering modern AI companies, this role is for you. What You’ll Do: Own the technical strategy for large, comp

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role We’re looking for a product manufacturing engineer, who will be responsible for driving technical initiatives related to manufacturing to ensure product success from concept to launch and through mass production with a specific focus on PCB and PCBa manufacturing and process. You’ll have the opportunity to work with a wide range of stakeholders, from design engineering and operations teams,TPMs, external industry vendors and partners to ensure that all products are developed and delivered on time and to the highest quality standards. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: In this role, you’ll be responsible for driving manufacturing and quality initiatives to ensure product success from concept to launch Lead the product design and the manufacturing process for next-gen AI hardware system development, you will have the opportunity to work with a wide range of stakeholders, from design engineering and operations teams, TPMs and external industry vendors and partners to ensure that all products are developed and delivered on time and to the highest quality standards. Lead the team to establish NPI product manufacturing process, systems and quality controls, defining clear milestones and deliverables, drive internal process improvements across multiple terms and functions Provide hands-on product manufacturing analysis during desi

CSQ127R179 MissionThe Senior Manager (Data & AI) for Technical Solutions Engineering will be responsible for leading and growing a regional team of Data & AI technical experts in India , focused on providing resiliency and smooth operation of customer production workloads. This leader will oversee support operations during APJ and EMEA business hours with close alignment with other global teams to ensure 24x7 support coverage through coordination with other regions. This team resolves complex and long-running data engineering use cases raised by Databricks customers to support the success of live use cases - which includes performance optimization, ensuring resiliency of production jobs, helping customers stabilize workloads on new products and features, and more. You will be able to understand the real-world business problems our customers are solving with data and are committed to helping them achieve reliability and performance of their systems to meet their goals. The impact you will have: Serve as the Tech Solutions Manager for an elite team of Data & AI specialists that can provide coverage of customers across EMEA & APJ business hours. Grow the technical expertise of the team to support successful adoption of new products and features of the Databricks platform for customer production workloads. Engage with top customers to understand how to support their business needs with their Data & AI strategy, in collaboration with field engineering and sales when required. Partner with internal product engineering teams to make Databricks products better and more supportable. Understand how to maintain high reliability of the Databricks platform to successfully achieve customer business goals. Competencies & Requirements Proven people leadership experience: at least 3+ years as a manager 12+ years in the IT industry, with a strong background in Software Engineering with specialization in Data Engineering, idea

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 role Anthropic is seeking talented and experienced Software Engineers to join our Continuous Integration (CI) team within the Developer Productivity organization. The CI team is responsible for the infrastructure that enables hundreds of engineers to ship code safely and efficiently to production. By joining this team, you'll have a direct impact on the velocity and reliability of Anthropic's research and product development. The CI team manages Anthropic's continuous integration system, which includes: CI infrastructure for automated testing and code quality assurance across our monorepo, designed to scale with rapid growth Test infrastructure that runs on Kubernetes clusters across multiple cloud providers, handling intelligent test selection, execution, and reporting for a large and complex test suite Merge queue management and complex branching strategies that ensure code quality at scale CI tooling and automation to improve developer productivity and reduce operational overhead Responsibilities Design and build highly reliable, scalable CI infrastructure that supports thousands of daily builds across multiple cloud providers Develop intelligent test selection systems that reduce CI time while maintaining code quality Build and improve incident response automation, including cluster load shedding, automatic recovery, and observability tooling Improve test infrastructure reliability through flake detection, quarantine systems, and test state management You may be a good fit if you Have 10+ years of relevant industry experience building and operating large-scale CI/CD systems Have deep experience with CI orchestration tool

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. Who are you? We are seeking a Software Engineer to join the Ema team. You are passionate about designing and developing maintainable software applications. You are a creative problem solver who thrives in ambiguity and can make abstract problems concrete. Most importantly, you are excited to be part of a mission-oriented, fast-paced, high-growth startup that can create a lasting impact. You Will: Design, develop, and implement exceptional user interfaces for web applications, using modern web technologies such as HTML, CSS, and JavaScript. Collaborate closely with product managers, UX designers, and other stakeholders to gather requirements, own the user experience, develop wireframes, and create high-fidelity prototypes. Develop and maintain API integrations, ensuring seamless communication between front-end and back-end systems, as well as with third-party services. Build, test, and deploy web applications using a variety of web development frameworks, such as React, Angular, Vue.js, or Next.js. Troubleshoot and resolve UI-related issues, guaranteeing a consistent and optimal user experience across multiple platforms and devices. Build end-to-end writing clean, maintainable, and

About Atomic Industries Atomic Industries is reinventing how the world makes things. From cars and aerospace systems to medical devices and packaging, most physical goods begin life in a mold or are shaped by a manufacturing tool. Producing these tools has always been slow, manual, and dependent on scarce expertise, taking weeks or months. We’re changing that. At our Detroit headquarters, we combine the industrial DNA of America’s manufacturing heartland with the speed, intelligence, and precision of Silicon Valley. Our AI-driven platform tackles the hardest problems in geometry, process planning, and fabrication, collapsing production timelines from months to days and soon, minutes. We don’t just build software; we run a fully operational factory where our technology produces production-grade tooling every week, enabling tight feedback loops and rapid iteration. Backed by top-tier investors, we’re restoring speed, flexibility, and capability to the American industrial base. Our mission is to make manufacturing as agile and scalable as the digital world, and in doing so, rebuild the infrastructure of the physical economy. Position Overview We are seeking a detail-oriented and technically savvy Injection Molding Cost Estimator to support quoting, pricing strategy, and business development. This role bridges engineering, tooling, and operations—turning customer RFQs into clear, competitive, and accurate proposals. You’ll analyze part geometry, material specs, mold complexity, and production volumes to model cost scenarios and recommend pricing strategies aligned with Atomic’s margin goals and value proposition. Key Responsibilities Review and analyze RFQs, part files, prints, and customer requirements Estimate complete part cost: material, cycle time, labor, machine time, overhead, and secondary ops Quote mold/tooling costs using internal templates and inputs from tooling team Identify and model different pricing strategies: full tool cost, subsidiz

About Atomic Industries Atomic Industries is reinventing how the world makes things. From cars and aerospace systems to medical devices and packaging, most physical goods begin life in a mold or are shaped by a manufacturing tool. Producing these tools has always been slow, manual, and dependent on scarce expertise, taking weeks or months. We’re changing that. At our Detroit headquarters, we combine the industrial DNA of America’s manufacturing heartland with the speed, intelligence, and precision of Silicon Valley. Our AI-driven platform tackles the hardest problems in geometry, process planning, and fabrication, collapsing production timelines from months to days and soon, minutes. We don’t just build software; we run a fully operational factory where our technology produces production-grade tooling every week, enabling tight feedback loops and rapid iteration. Backed by top-tier investors, we’re restoring speed, flexibility, and capability to the American industrial base. Our mission is to make manufacturing as agile and scalable as the digital world, and in doing so, rebuild the infrastructure of the physical economy. Position Overview We are seeking a detail-oriented and technically savvy Injection Molding Cost Estimator to support quoting, pricing strategy, and business development. This role bridges engineering, tooling, and operations—turning customer RFQs into clear, competitive, and accurate proposals. You’ll analyze part geometry, material specs, mold complexity, and production volumes to model cost scenarios and recommend pricing strategies aligned with Atomic’s margin goals and value proposition. Key Responsibilities Review and analyze RFQs, part files, prints, and customer requirements Estimate complete part cost: material, cycle time, labor, machine time, overhead, and secondary ops Quote mold/tooling costs using internal templates and inputs from tooling team Identify and model different pricing strategies: full tool cost, subsidiz

About Atomic Industries Atomic Industries is reinventing how the world makes things. From cars and aerospace systems to medical devices and packaging, most physical goods begin life in a mold or are shaped by a manufacturing tool. Producing these tools has always been slow, manual, and dependent on scarce expertise, taking weeks or months. We’re changing that. At our Detroit headquarters, we combine the industrial DNA of America’s manufacturing heartland with the speed, intelligence, and precision of Silicon Valley. Our AI-driven platform tackles the hardest problems in geometry, process planning, and fabrication, collapsing production timelines from months to days and soon, minutes. We don’t just build software; we run a fully operational factory where our technology produces production-grade tooling every week, enabling tight feedback loops and rapid iteration. Backed by top-tier investors, we’re restoring speed, flexibility, and capability to the American industrial base. Our mission is to make manufacturing as agile and scalable as the digital world, and in doing so, rebuild the infrastructure of the physical economy. Position Overview We are looking for a skilled and hands-on Injection Molding Process Technician to support setup, optimization, and troubleshooting across our press lineup. You’ll be responsible for ensuring machines run efficiently and consistently—meeting quality targets, minimizing scrap, and reducing downtime. This role is critical to our ability to run complex molds at high volumes with the tightest tolerances. Key Responsibilities Set up molds, material, and auxiliary equipment per production schedule Start, stop, and dial-in injection molding processes to meet part specs and cycle time targets Monitor machine performance and make real-time adjustments to pressures, speeds, and temperatures Conduct first-piece inspections and approve production startups Identify and troubleshoot part defects, flash, short shots, and dimens

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role OpenAI's Hardware organization builds supercompute platforms from silicon and boards to full rack-scale systems to power advanced AI workloads. This role owns end-to-end quality for high-speed interconnect hardware across the product lifecycle: early design influence, supplier/contract manufacturer readiness, qualification, ramp, and fleet quality in lab and data center environments. You will be the quality lead for advanced interconnect components and assemblies, including high-speed copper cables, cable cartridges, patch panels, backplane/cable-backplane solutions, high-speed connectors, and related electro-mechanical interfaces. You will partner closely with electrical, mechanical, SI/PI, systems, reliability, operations, and external vendors to prevent escapes and drive rapid, data-driven containment and corrective action. In this role you will: Own quality for advanced interconnect components and assemblies: high-speed connectors, high-speed copper cables, cable cartridges (e.g., cable cassette style assemblies), patch panels & optics, and backplane/cable-backplane interconnect solutions. Drive quality-by-design: participate in design reviews, DFM/DFx, tolerance stacks, material and plating selections, connector mating strategy, strain relief, and assembly methods to reduce variation and field failures. Define and track quality and reliability metrics (DPPM, yield, escapes, RMA/FRACAS trends, Cpk/Ppk where applicable) for interconnects across NPI and m

Role: Engineering Manager – Communications Location: Remote Team size: 15 engineers (backend + frontend) Type: Full-time About the Role We’re looking for an Engineering Manager who thrives at the crossroads of leadership, hands-on engineering, and solving problems that don’t come with an instruction manual. You’ll lead a team of talented backend and frontend engineers who are building the bridges between systems that power the full customer journey for financial institutions. In this role, you won’t just be overseeing work, you’ll be rolling up your sleeves, writing and reviewing production code, guiding architecture decisions, and coaching engineers to deliver their best work. The systems you’ll help build will connect modern cloud APIs with decades-old banking platforms, bringing reliability and elegance to what often starts as messy complexity. Our integration platform touches everything—from communication stacks to core banking systems, lending and mortgage platforms, payment gateways, and AI Platform. Every integration is an opportunity to shape how our customers experience our products end-to-end. And because we take an AI-augmented approach to software development, you’ll be part of a team that uses AI tools to augment SDLC and write better code, automate testing, and ship faster without compromising quality. What You’ll Be Doing Lead by Example – Stay hands-on with coding, designing architectures and reviewing code while guiding the team toward engineering excellence. Own the Integration Layer – Architect and scale connections across diverse systems, from sleek modern APIs to finicky legacy protocols. Champion the Customer Experience – Partner with Product, Implementation, and customer teams to ensure integrations truly solve real-world challenges. Collaborate Without Boundaries – Work closely with other engineering leaders to ship features that feel seamless across products. Build for the Long Run – Keep systems observable, reliable, and perform

About Atomic Atomic Industries is reinventing how the world makes things. From cars and aerospace systems to medical devices and packaging, most physical goods begin life in a mold or are shaped by a manufacturing tool. Producing these tools has always been slow, manual, and dependent on scarce expertise, taking weeks or months. We’re changing that. At our Detroit headquarters, we combine the industrial DNA of America’s manufacturing heartland with the speed, intelligence, and precision of Silicon Valley. Our AI-driven platform tackles the hardest problems in geometry, process planning, and fabrication, collapsing production timelines from months to days and soon, minutes. We don’t just build software; we run a fully operational factory where our technology produces production-grade tooling every week, enabling tight feedback loops and rapid iteration. Backed by top-tier investors, we’re restoring speed, flexibility, and capability to the American industrial base. Our mission is to make manufacturing as agile and scalable as the digital world, and in doing so, rebuild the infrastructure of the physical economy. About the Role We are seeking a manufacturing engineer to help build and launch a high-volume, highly automated injection molding plant. You will work closely with the Plant Manager to design and bring up molding cells, specify and commission equipment, and engineer production lines to run at high yield and uptime from day one. This is a hands-on, execution-focused role. You will be responsible for engineering the full molding cell—from material handling to press automation to part packaging—not just optimizing isolated processes. The ideal candidate has launched automated molding lines in fast-moving, high-mix environments and is comfortable taking ownership of throughput, quality, and cycle time from end to end. Responsibilities Engineer, design, and commission complete injection molding cells, including presses, EOAT, robotics, dryers, vision

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 Role Anthropic's Infrastructure organization is the engine that powers our mission. Every breakthrough in AI safety research and every interaction users have with Claude depends on the systems we build and operate: massive clusters for training frontier models, production infrastructure serving millions of users reliably, and developer platforms that help engineers move fast without breaking things. As a Technical Program Manager for Infrastructure, you’ll work across multiple infrastructure domains to coordinate complex programs that have broad organizational impact. You’ll be solving novel scaling challenges at the frontier of what's possible, all while maintaining the security and reliability our mission demands. This role is ideal for someone who thrives in ambiguity and believes their job is to make everyone around them more effective. You’ll partner closely with engineering leadership to drive strategic initiatives while ensuring seamless coordination between research, engineering, and product teams. What you’ll do: Developer Productivity & Tooling Drive cross-functional programs to improve developer environments, CI/CD infrastructure, and release processes that enable rapid innovation while maintaining high security standards Coordinate large-scale migrations and platform modernization efforts across engineering teams Partner with teams to measure and improve developer productivity metrics, identifying bottlenecks and driving systematic improvements Lead initiatives to integrate AI tools into development workflows, helping Anthropic be at the forefront of AI-assisted research and engineering Infrastructure Reliabi

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 role Anthropic is building the Applied AI team to help the world's most ambitious organizations adopt Claude in ways that are transformative, safe, and lasting. Our Forward Deployed Engineers embed directly with strategic customers to ship production AI applications that solve real business problems. As this practice grows, we need a founding leader to build and scale it. As the first FDE Manager, you'll own the team that sits at the frontier of enterprise AI deployment. You'll hire and develop a high-performing team of FDEs, set the technical and operational bar for customer engagements, and build the playbooks that turn one-off successes into repeatable patterns. You'll work hand-in-hand with Engagement Managers who own delivery logistics and stakeholder management, while you ensure your team is shipping quality code, growing technically, and representing Anthropic at the highest level in customer environments. This is a player-coach role with a strong bias toward leadership. You'll stay close enough to the technical work to review architectures, debug production issues, and pair with your team when it matters — but your primary impact will come from the people you hire, the standards you set, and the culture you create. You'll partner cross-functionally with Sales, Product, and Engineering to shape how Anthropic serves its most strategic customers, and your team's field insights will directly influence product direction. This role requires someone who thrives in ambiguity and is energized by building from zero to one. You'll be defining what good looks like for FDE management at Anthropic — there is no existing playbook t