Production Supervisor Jobs

At Kargo, our mission is to build a connective tissue between the physical world of freight and the digital ecosystem used to manage it. We believe that advancements in smart infrastructure are critical to enabling a safer and more efficient future for logistics. Our loading dock sensor platform verifies all incoming and outgoing freight, aggregating data that enables shippers and carriers to efficiently manage dock operations, switch out suppliers and understand material flow in real time. We care deeply about delivering the best solutions for our customers. As a member of the Kargo team, you will have the opportunity to develop and deploy tomorrow’s hardware & software solutions and help revolutionize logistics. Responsibilities Build AI agents that autonomously navigate websites and execute complex workflows. Develop browser automation solutions using Playwright, Selenium, or similar frameworks. Design agent architectures leveraging LLMs, tool calling, memory, and planning capabilities. Integrate AI agents with APIs, SaaS platforms, and internal systems. Improve agent reliability through evaluation, testing, monitoring, and guardrails. Optimize agent performance, scalability, and operational cost. Collaborate with product and engineering teams to identify and automate high-value workflows. Stay current on emerging agent frameworks, models, and AI technologies. Experience 3+ years of software engineering experience building production systems. 1+ years experience building agentic workflows. Strong Python programming skills. Experience with LLMs, agent frameworks and browser automation tools. Experience integrating APIs and third-party services. Familiarity with cloud platforms such as AWS or GCP. Startup experience and ability to work in a fast-paced environment is preferred. BS/MS in Computer Science, Engineering, AI, or a related field. Kargo is an equal opportunity/affirmative action employer committed to an inclusive and diverse workplace. All qualif

Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About the Role We’re rolling out Go support at production scale at Notion, and we need an owner who can make it durable. You’ll lead the work to turn Go into a fully supported, well-operated platform: reliable and scalable service patterns, paved paths for our tooling stack, and the guardrails that make building in Go feel fast and safe. This role matters because our next wave of AI and agent-driven products will require backend services where Node won’t always be the right fit, and the platform decisions we make now will compound for years. While Go is the core focus, this role sits within Developer Experience and will regularly tackle other high-leverage engineering productivity challenges, developer experience ranging from AI-assisted development workflows and remote agent environments to CI performance, deployments, and reliability tooling. This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days.

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. Principal Data Cloud Architect - SI Partners We are seeking a highly experienced and results-driven AI/ML focused Principal Data Cloud Architect to join our Partner Solution Engineering (PSE) team. Our mission is to empower System Integrator (SI) partners to rapidly achieve technical wins and successful production deployments of AI/ML solutions on the Snowflake AI Data Cloud. Snowflake, the AI Data Cloud, enables teams to seamlessly run analytical workflows, develop agentic apps, and train models using both structured and unstructured data. With over 4,000 customers leveraging our gen AI and ML technology weekly, we are at the forefront of AI innovation. This role is crucial in accelerating AI/ML customer journey technical wins and production deployments being implemented by SI partners. IN THIS ROLE YOU WILL PERFORM: Strategic Account Alignment with top accounts for SI partners (Focus on Acceleration): Unlock High-Impact Customer Journeys: Identify and prioritize AI/ML customer journeys for SI partner top accounts, focusing on quick wins and high consumption, informed by your understanding of SI partner needs. Expedited POCs and RFPs: Provide support for partners during RFI/RFP processes and POCs, ensuring rapid turnaround and successful outcomes, informed by your SI propo

About the Team The Infrastructure Engineering function sits within IT and is responsible for reliably building, deploying, and operating critical on prem and hybrid environments that power internal services and critical R&D environments. This is an early, high-leverage technical role focused on applying strong Site Reliability Engineering discipline to environments where uptime, safety, recoverability, and security are non-negotiable. This person helps replace bespoke, one-off infrastructure with standardized infrastructure-as-code building blocks that compound reliability and operational leverage as OpenAI scales. About the Role We are looking for an experienced Site Reliability Engineer working on security infrastructure to design, build, and operate reliable, secure, and scalable infrastructure that underpins identity, access, endpoint, and shared platform services across the company. In this role, you will be a senior technical owner for infrastructure and identity systems end to end, from architecture and implementation through policy enforcement, upgrades, recovery, and day-two operations. You will build durable, production-grade platforms that remove operational friction, enforce security by default, and enable teams to move faster with confidence. This role is well suited for a hands-on senior engineer who thrives in ambiguity, enjoys owning complex systems end to end, and raises the reliability and security bar by replacing fragile implementations with standardized, repeatable infrastructure. This role is based in our San Francisco HQ and requires in-office presence. In this role, you will: Design, build, and operate reliable infrastructure across on-prem, hybrid, shared, and product adjacent environments. Establish standardized infrastructure patterns that replace bespoke implementations with repeatable, auditable, secure-by-default systems. Own the lifecycle of critical infrastructure platforms, including provisioning, deployment, upgrades, patching,

Who We Are: Being naked is the #1 most sustainable option. We're #2. Since 2009, we've been on a mission to bring sustainable fashion to everyone. Named one of Fast Company’s Brands That Matter and winning a Best Carbon Footprint award, we have big goals like being Climate Positive by 2025 , Circular by 2030 , and pushing the whole industry forward along the way. Our work has gotten love in Drapers and Sourcing Journal , and TIME wrote about how great our CEO, Hali Borenstein, is. Basically, we're saving the Earth and looking damn good doing it. We're a global brand with 50+ stores (and counting) around the world, and our own sustainable factory in LA . We innovate across categories like accessories , swimwear , and sleepwear , and we reach millions of people with campaigns like this , this and this . None of this work is possible without the incredible people behind it. We're a mission-based company that invests in an inclusive culture, so we can innovate together and ensure everyone has the space to grow, thrive, and belong. And starting right now, we want to do all that with you. Work Location/ Schedule: Onsite, 5 days - Vernon HQ The Role: Quality Assurance Manager - Women’s Apparel The Manager of Quality Assurance is responsible for driving product compliance and quality consistency across core QA processes — care label approvals, third-party inspection report review, fabric and garment testing, and high-return investigations for internationally produced product. This is a report-driven role: you are managing quality outcomes mainly through analysis and vendor communication, not physical warehouse inspection. You are the key communication link between overseas vendors, third-party inspection partners, internal QC, and the Production, Tech Services, Fabric, and Merchandising teams. What You’ll Do: Overseas Inspection & Audit Management (~65%): Review 3rd-party reports (QIMA, Intertek, Baak, etc.). You will release passing shipments, trouble

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! At Figma, we're building a vibrant community where designers and product builders come together to learn, grow, and connect around their shared passion. Our Advocacy team is central to this mission - empowering our users through engaging content, meaningful interactions, and genuine advocacy. We're looking for a Designer Advocate to partner closely with our Marketing, Sales, and Product teams. You'll bring deep design expertise, strong product intuition, and a genuine love for the design community into our go-to-market strategies. You'll also champion our users' voices internally, ensuring their perspectives shape our product evolution. This is a full time hybrid role based in our São Paulo, Brazil hub. What you'll do at Figma: Empower users at scale: Collaborate closely with Sales and Customer Experience teams to help customers unlock the full potential of Figma across real product workflows Create compelling content: Develop written, visual, and video resources that reflect how modern teams actually design and build, from early exploration to production-ready systems Inspire community connections: Foster meaningful relationships within the Figma community, identify collaboration opportunities, and nurture user-driven initiatives Speak and engage at events: Regularly present at industry meetups, conferences, and community events, sharing practical insights from real-world design work Champion user voices: Stay attuned to community feedback, sentiment, and emerging design trends—advocating inter

About the Team The Integrity team at OpenAI is dedicated to ensuring that our cutting-edge technology is not only revolutionary, but also secure from a myriad of adversarial threats. We strive to maintain the integrity of our platforms as they scale. The Integrity team is at the front lines of defending against misuse in all its forms: content abuse, scaled attacks, and other actions that could undermine the user experience or harm our operational stability. About the Role As a Machine Learning Engineer in OpenAI's Integrity team, you will have the opportunity to work with some of the brightest minds in AI. You’ll work on state-of-the-art models and classifiers, experiment with new architecture and approaches, and push forward our abilities in content and user understanding. You’ll help turn research breakthroughs into tangible solutions that improve the trust and safety of our platform. If you're excited about training LLMs and building ML models, this role is your chance to make a significant mark. In this role, you will: Innovate and Deploy: Design and deploy advanced machine learning models that solve real-world problems. Bring OpenAI's research from concept to implementation, creating AI-driven applications with a direct impact. Collaborate with the Best: Work closely with researchers, software engineers, and product managers to understand complex business challenges and deliver AI-powered solutions. Be part of a dynamic team where ideas flow freely and creativity thrives. Optimize and Scale: Implement scalable data pipelines, optimize models for performance and accuracy, and ensure they are production-ready. Contribute to projects that require cutting-edge technology and innovative approaches. Learn and Lead: Stay ahead of the curve by engaging with the latest developments in machine learning and AI. Take part in code reviews, share knowledge, and lead by example to maintain high-quality engineering practices. Make a Difference: Monitor and maintain deployed m

POSITION SUMMARY: Buyer 2: This position purchases, reviews supplier quotes and analyzes purchase requisitions for the direct procurement of goods and services. Responsible for purchasing in accordance with Planning departments instruction. Team member will also recommend new supply sources where existing vendors and suppliers are no longer cost competitive. Interacts directly with suppliers and QA to resolve quality issues. Works with management to address all aspects of commodity management, including procurement support, commodity business plans, pricing, and product availability. Resolves issues with regards to material delivery, receiving, and payment for goods or services. Focused on developing Category Plans for specific commodities. PRIMARY RESPONSIBILITIES: Coordinate purchasing activities with manufacturing, planning and PDO departments to acquire inventory in a cost effective and timely manner. Process purchasing requisitions, purchase change orders and requests for quotes to suppliers. Perform cost analysis and volume planning for major commodities (e.g., materials, components, equipment, and services). Monitor the cost of goods, and setup scheduling to negotiate highest quality at best value. Analyze material requirements to ensure uninterrupted flow of materials and services for designated commodity/part families for production. Organize and actively participate on Supplier Business Reviews. Involved in procurement execution for new product launches. Responsible for timely execution of MRO process. Expedite, delay, or cancel orders as needed. Gather, evaluate, and negotiate quotations from suppliers for goods and services. Execute RFPs and RFQs. Enter purchase requisitions to support procurement activities. Manage Open Order Report process to support Vendor On-Time Delivery (OTD). Identify, develop, and manage effective relationships with existing and potential suppliers of goods and services to meet the established cost, quality a

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Lead the Flashblade//EXA platform engineering team to build the foundational architecture powering the industry’s highest-performing AI storage portfolio. In this role, you will accelerate the execution of core platform software integrating cutting-edge Linux kernel, networking, and NVMe technologies, collaborating directly with Product and Release management to drive massive business impact in the AI neocloud market. WHAT YOU'LL DO Accelerate High-Performance Deliverables: Lead and scale an engineering team to successfully enable next-generation hardware platforms, Linux kernel optimizations, and advanced NVMe networking technologies. Own Predictable Software Releases: Champion the end-to-end execution of Purity software releases by establishing structured release plans that hit critical milestones in close partnership with Program and Release Management. Safeguard Platform Stability: Architect and implement advanced continuous integration strategies and phased feature rollouts to de-risk complex platform deliveries and ensure rock-solid production quality. Drive Strategic Vendor Integration: Manage high-impact technical engagements with external partners and vendors to seamlessly integrate third-party components into the Flashblade//EXA ecosystem. Translate Strategy to Impact: Align business objectives with engineering goals, ensuring the team's technical output directly optimizes platform performance, stability

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. With a billion rides per year and counting, Lyft is solving hard problems in a rapidly growing domain with a lot of data and creative solutions in Rider, Marketplace, Growth, and beyond. While traditional approaches to optimization and problem decomposition are sufficient to disrupt transportation, building a next-generation platform for low-cost, ultra-immersive transportation to improve people's lives warrants modern ML utilizing peta-byte scale data. Our highly motivated Machine Learning Engineers work on these challenging problems and define solutions to directly impact various aspects of our core business. If you are a critical thinker with experience in machine learning workflows and LLMs, passionate about solving business problems using data and working in a dynamic, creative, and collaborative environment, we are searching for you. We are seeking a Senior Machine Learning Engineer to join the Rider Applied AI team and lead the design, development, and deployment of state-of-the-art machine learning and artificial intelligence systems. This role requires a strategic thinker who can balance high-level system architecture with hands-on technical implementation. You will collaborate across teams to shape the future of ride-sharing by leveraging AI, Machine learning and Data science. Responsibilities: Model Development & Research: Design, build, and deploy machine learning models for real-time applications, including translating state-of-the-art research into production-ready solutions. System Design: Architect scalable, reliable ML pipelines that integrate seamlessly with existing backend systems. Innovation & Applied Research: Stay ahead of the curve by exploring emerging algorithms, technologies (such as LLMs and LLM-based applications), and frameworks — critically eva

About us Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor and Clay Bavor . Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you’ll do Design and deliver production-grade AI agents : You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth. These aren't prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce. Drive the Agent Development Life Cycle (ADLC) : You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way. Partner with large enterprises and cutting-edge startups: You’ll work directly wit

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. About the role We're building a Forward Deployed Engineering team to close the gap between the value our enterprise customers expect from Cursor and the value they're actually getting. FDEs don't advise, they embed directly with customer engineering teams, build production-grade Cursor workflows, and transfer the habits and culture that compound long after the engagement ends. The measure of success is what's different at day 30, not what got shipped. We're looking for a Regional Director, Forward Deployed Engineering to lead and help scale this team. You'll manage a growing team of FDEs working across our most strategic enterprise accounts, own what makes a world-class FDE engagement, and stay close enough to the work to escalate, coach, and course-correct in real time. You will serve as the primary point of contact for customers, owning both project delivery and the day-to-day relationship, while also identifying and scoping new opportunities. You'll also build our partner FDE track — training and enabling GSI and consulting partners who extend this motion at scale. This is a hands-on leadership role for someone who combines deep technical credibility, strong people management

Staff -Power and Performance Validation Engineer About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary Reporting to senior leadership within Architecture and Validation, the Power and Performance Validation Lead will drive validation strategy and execution for advanced AI compute silicon and systems. The role is responsible for leading power, thermal and performance validation activities across pre-silicon and post-silicon environments to ensure products meet efficiency, reliability and scalability expectations. This role requires strong technical expertise and collaboration across multiple engineering disciplines to deliver robust validation methodologies, scalable automation frameworks and actionable performance insights. The Team The Power and Performance Validation team sits within the Architecture and Validation organisation and is responsible for validating the performance, efficiency and thermal behaviour of Graphcore silicon and systems. The team supports the full product lifecycle, from early architectural modelling through to first silicon bring-up, characterization and production readiness. Engineers work closely with cross-functional teams globally to debu

RDQ427R100 At Databricks, we are passionate about helping data teams solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best AI and data infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. The Serverless Compute Platform is the backbone of Databricks' fastest-growing products. It is powering massive growth in our existing product lines (e.g. Generic Compute, SQL) as well as new and emerging products (e.g. Lakewatch, interactive compute). Behind this hockey stick growth is a set of highly scalable, efficient, and intelligent services managing tens of millions of virtual machines daily across AWS, Azure, and GCP. As Engineering Manager for the Execution Sandbox team, you will own the end-to-end delivery of this new service and the engineers building it. You will inherit a team of strong senior ICs who have already delivered an initial preview. Your job is to build out the full vision, guide evolution, and scale the team. You will ensure strong execution health and that the service launches with production-grade reliability spanning a range of use cases, e.g. GPU onboarding, UDF generalization, and managed REPL. The impact you will have: Own a 0→1 service with platform-wide blast radius. Architect and launch the Execution Sandbox Service from inception to production scale. This greenfield provisioning layer will power all non-Spark compute workloads on Serverless (Notebooks, AI Agents, Remote UDFs). Unify a fragmented compute surface. Converge disparate CPU and GPU cluster

Power and Performance Validation Engineer About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary Reporting to senior leadership within Architecture and Validation, the Power and Performance Validation Lead will drive validation strategy and execution for advanced AI compute silicon and systems. The role is responsible for leading power, thermal and performance validation activities across pre-silicon and post-silicon environments to ensure products meet efficiency, reliability and scalability expectations. This role requires strong technical expertise and collaboration across multiple engineering disciplines to deliver robust validation methodologies, scalable automation frameworks and actionable performance insights. The Team The Power and Performance Validation team sits within the Architecture and Validation organisation and is responsible for validating the performance, efficiency and thermal behaviour of Graphcore silicon and systems. The team supports the full product lifecycle, from early architectural modelling through to first silicon bring-up, characterization and production readiness. Engineers work closely with cross-functional teams globally to debug compl