Production Supervisor Jobs

About the Team Frontier Systems Foundations, part of Compute Foundations at OpenAI, builds the systems software foundation that turns new compute infrastructure into reliable, usable capacity for frontier model training. Our mission is to make some of the world's largest GPU clusters work reliably for frontier training. We bring new platforms and clusters online, safely maintain installed fleets, and partner with hardware, infrastructure, and research teams to resolve the system-level issues that keep jobs from running. That means building and maintaining the software closest to the machine: Linux and Ubuntu operating-system images, kernels and modules, drivers, packages and repositories, disks and boot configuration, firmware integration, provisioning, and system-level validation. We make these components reproducible, compatible, and safe to operate across heterogeneous fleets. About the Role We are looking for systems software engineers with deep Linux and host-systems experience to build, qualify, and maintain the operating-system foundation for OpenAI's frontier compute fleet. Relevant backgrounds include kernel and module development, Linux distribution or image engineering, package management, firmware and driver integration, disks and boot, and bare-metal provisioning. You'll work closely with hardware engineers, vendors, and infrastructure teams to bring up new platforms, integrate system components, and debug failures across firmware, disks, boot, operating systems, kernels, drivers, and workload interactions. Your work will directly influence how quickly new capacity becomes usable and how reliably large GPU fleets operate. You should be comfortable writing and maintaining production-quality systems software and automation, but we do not expect expertise across every layer. This is an opportunity to go deep on challenging systems problems while building the image, package, qualification, and recovery paths that power the next generation of frontier models

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. As the People Automation & AI Partner at Vanta, you'll be the hands-on builder embedded in our Recruiting and People teams, designing, shipping, and scaling the workflows, agents, and automations that remove manual work across recruiting and People operations so our team can focus on the work that moves the business. Recruiting is the front door to that talent, and the speed, quality, and consistency of our hiring engine is a top priority for this role. The People team at Vanta is building the infrastructure to hire, develop, and retain world-class talent at scale. We're not just running processes, we're rethinking them. That means bringing in the tooling, AI, and automation capabilities to match the speed and ambition of the company we're building. What you’ll do as a People Automation & AI Partner at Vanta: Design, build, and maintain AI-powered workflows, automations, apps, and agents (Claude, Claude Code, Dust, Zapier) that eliminate manual lift across Recruiting and People operations Own Dust agent architecture for the People team: build and maintain agents, skills, and connectors that support recruiters, coordinators, hiring managers, and People partners across pods Take team-generated concepts and one-off ideas and turn them into durable, documented, adopted production workflows Build and maintain automation across the recruiting funnel, sourcing outreach, interview scheduling and coordination, candidate communication, and offer-to-hire handoffs, as a first-class use case for this role Serve as a technical build partner for Ashby-driven workflows, treating the ATS as a primary automation surface alongside Dust an

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. Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that's all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level. Snowflake is growing fast and we're scaling our team to help enable and accelerate our growth. We're passionate about our people, our customers, our values and our culture! We're also looking for people with a growth mindset and the pragmatic insight to solve for today while building for the future. And as a Snowflake employee, you will be accountable for supporting and enabling diversity and belonging. At Snowflake, the Sr. Product Marketing Manager - AI Data Cloud is an integral member of the AI Data Cloud product marketing team responsible for driving the operational engine behind our event content. This person manages the end-to-end content production pipeline across our flagship events — such as Snowflake Summit, Snowflake World Tour, and Data for Breakfast — and the downstream programs that extend from them, including digital event extensions and field programs. This highly organized and detail-oriented candidate ensures that sessions, speakers, and assets move from concept to delivery flawless

The MongoDB Atlas team is a diverse group of contributors working together to help our users manage MongoDB at a global scale. We are responsible for MongoDB Atlas: our database-as-a-service offering and fastest-growing product, which allows users to deploy fault-tolerant, globally distributed MongoDB clusters in just minutes. We're seeking a Software Engineer to join the Atlas Identity and Access Management (IAM) team. The IAM team owns authentication and authorization for all of MongoDB Atlas, spanning from the underlying platform to user-facing features and products. IAM is both a platform and a product team, serving internal engineers as well as external customers. We enjoy the challenge of keeping MongoDB Atlas secure while providing a best-in-class user experience for users ranging from startup to enterprise. We are looking to speak to candidates who are based in New York City, NY for our hybrid working model. Role Responsibilities Lead medium-sized, full-stack projects from technical design to delivery Collaborate with colleagues at all stages of the project lifecycle (ideation, requirements gathering, design, execution, and delivery) Own our leadership principles , and exemplify them in your work Continue to learn and be curious in growing your career! Candidate Profile 2+ years of professional experience building full-stack web applications Proficient in a modern compiled programming language (Java, Go, C#, C++, etc.) Willingness to learn JavaScript and/or TypeScript along with modern frontend technologies (React, Redux, etc.); prior experience a plus Excellent communication skills, both written and verbal Is collaborative, empathetic, and intellectually honest Success Measures In 1 month, you’ll have shipped code into production In 3 months, you’ll have collaborated and delivered on a project with other engineers on the team In 6 months, you’ll have led the technical design, execution, and delivery of a project About MongoDB MongoDB is built for change, em

Senior Fullstack Engineer – Internationalisation Platform The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the infrastructure, tooling, frameworks, and capabilities needed to welcome a billion customers. Within Platform, the Internationalisation team makes Spotify feel local everywhere. We build the systems, tools, and frameworks that power language support, localization workflows, cultural adaptation, and global feature rollouts across more than 180 markets. Our work ensures that when Spotify launches something new, it resonates just as well in São Paulo as it does in Stockholm. We’re looking for a Senior Fullstack Engineer who cares deeply about building scalable systems and seamless user experiences — and who understands that great internationalisation is both a technical and cultural challenge. What You'll Do Design, build, and evolve the platforms and services that power localization, translation workflows, and global content delivery across Spotify Develop high-quality frontend and backend solutions that enable product teams to ship globally from day one Partner closely with product managers, designers, and engineers across missions to ensure internationalisation is embedded early in the development lifecycle Improve developer experience by creating intuitive tooling, documentation, and self-serve frameworks Drive technical direction for complex cross-platform initiatives that impact millions of users worldwide Identify performance, scalability, and reliability improvements in systems supporting global expansion Contribute to a culture of technical excellence, knowledge sharing, and continuous learning Who You Are You have 5+ years of experience building and shipping production-grade

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 a Senior Backend Engineer in GitLab’s Platform Enablement organization, you will help make GitLab easier to deploy, validate, and operate across environments. This team is centered on two major areas: Cloud Native deployment guidance and ephemeral environments. You’ll help shape GitLab’s next generation of self-managed deployment guidance as Reference Architectures evolve toward a model based on deployment patterns, workload characterization, component requirements, topology guidance, and scaling principles. You’ll also help improve production-like ephemeral environments so teams can validate changes e

For more than 30 years, SonicWall has delivered a partner-first unified cybersecurity portfolio that helps SMBs, MSPs, and IT teams consolidate network security, endpoint security, security service edge (SSE), and threat response across hybrid environments. By bringing connected technology, real-time threat intelligence, automation, and expert services together, SonicWall helps organizations simplify security operations, achieve better security outcomes, and lower total cost of ownership. Backed by a global ecosystem of more than 17,000 partners, SonicWall delivers enterprise-grade protection built for SMB and mid-market realities. For more information, visit www.sonicwall.com or follow us on X, LinkedIn , Facebook , and Instagram . Role Overview As our lead AI/ML Engineer , you will design, build, and scale the intelligence layer powering our next-generation security products. You will turn complex datasets—including configurations, security alerts, and raw network logs—into production-ready AI capabilities that drive automated analysis, reasoning, and intelligent recommendations. Key Responsibilities Architect AI Systems: Design and deploy robust Retrieval-Augmented Generation (RAG) pipelines, agentic workflows, and LLM applications tailored to parse and reason over security telemetry and unstructured logs. Model Development & Tuning : Train, fine-tune, and evaluate ML/DL models for pattern matching, anomaly detection, and classification across massive, heterogeneous security datasets. Ensure AI Trust & Alignment : Implement strict guardrails, evaluation frameworks, and safety alignment techniques to ensure all model outputs and recommendations are deterministic, safe, and highly accurate. Establish MLOps: Build and maintain scalable ML pipelines (from data preprocessing to model monitoring in production), collaborating closely with Data and Product Engineers to ensure low-latency, secure inferences. Required Experience & Ski

About Appier Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier's mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. About the Role As a Research Scientist, you will work at the frontier of generative and agentic AI: advancing Large Language Models (LLMs) , Vision-Language Models (VLMs) , and AI agents that reason, plan, and use tools to solve real-world problems. Your research will span post-training (SFT, RLHF/RLVR), reasoning and test-time scaling, multimodal intelligence, and autonomous agentic systems. You will shape Appier's core AI capabilities, publish at top AI/ML conferences, and collaborate with scientists and engineers to turn frontier research into product impact. Responsibilities Research and build agentic AI systems : reasoning, planning, tool use, memory, and multi-agent collaboration, powered by LLMs and VLMs. Advance post-training techniques (SFT, RLHF, RL with verifiable rewards, preference optimization) to improve model capability, alignment, and reliability. Improve the performance, efficiency, and scalability of foundation models across training, inference, and test-time compute. Design rigorous evaluations and benchmarks for models and agents in real-world scenarios. Collaborate with cross-functional teams to ship research into production applications. Track frontier research, propose new directions, and publish key findings at leading AI/ML venues. About You Minimum Qualifications Master's degree or Ph.D. in Computer Science, Electrical Engineering, Mathematics, or a related field, with research experience in AI/ML. Deep understanding of modern foundation models, with expertise in at least one of: LLMs, VLMs/multimodal models, RL, or agentic

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. Replit is changing who gets to build software. What started as a platform for developers has become an AI-powered creation platform where individuals, and teams can turn ideas into working apps, internal tools, dashboards, workflows, and websites faster than ever before. The company has had a fair amount of success with the outside world and in customer traction, particularly on the enterprise. We are looking for a PR Lead to help tell that story to the audiences that matter most: CIOs, CISOs, CFOs, business leaders, developers, analysts, partners, customers, and the press. This role will own communications for Replit’s marketplace, customer momentum, and business adoption. You will help position Replit as the AI platform that gives every team in an organization the ability to build, ship, and solve problems securely, without waiting months for traditional software cycles. The work will span the full range of communications: product launches, partnership announcements, customer stories, competitive positioning, analyst engagement, executive visibility, conference moments, speeches, thought leadership, vertical storytelling, and proof points that show how enterprises are using Replit to move from idea to production. You will work closely with Replit’s sales, partnership, marketing and leadership teams to shape narratives that resonate with both technical and business audiences. The right candidate understands the technology landscape and can operate comfortably across media, analysts, influencers, customers, partners, and internal teams. They should be able to explain why Replit matters in a world where AI is changing how software gets built and have the ability to change and evolve fast given the competitive nature of

About the Team The ChatGPT Model Flywheel team unified goal is to transform model advancements into great ChatGPT user experiences through reliable serving, rapid experimentation, safe deployment, and continuous improvement. Team Focus Areas Model Experimentation: Enable rapid, safe model validation for ChatGPT and Codex products through experiment automation and lifecycle management. Model Deployment: Ensure safe, scalable deployment of model capabilities with robust rollout and operational tooling. Automate capacity management and incorporate platform-wide health monitors. Model Measurement: Build comprehensive evaluation and measurement systems for model quality, from user signals to launch scorecards. Improve end-to-end feedback loops for continual model improvement. Key Partnerships Collaborate cross-functionally with teams including Model Measurement DS, Research, Codex, Fleet, Inference, and API. In this role, you will: Elevate and consolidate ChatGPT’s harness, context management, and system prompt frameworks. Drive expansion and improvement of multi-tier model experiences. Support and scale self-serve experiment capabilities and automated guardrails. Lead model rollout automation, capacity management, and health monitoring. Shape end-to-end measurement systems (evals, grader signals, user feedback, etc.). You might thrive in this role if you have: Proven experience leading engineering teams in complex, cross-functional environments. Demonstrated success shipping production systems at scale (ideally for AI or large backend services). Deep understanding of model-driven product development, deployment lifecycle, and measurement tooling. Excellent communication and collaboration skills—experience interfacing directly with engineering, research, and product stakeholders. Prior involvement with large language models, distributed infrastructure, or experimentation platforms is a plus. Why Work With Us Tackle highly impactful technical challenges at the cutting edg

About Zoox Zoox is an autonomous ridehailing company building the world's first purpose-built robotaxi — fully electric, bidirectional, with no steering wheel or driver's seat. Backed by Amazon and founded to make transportation safer, cleaner, and more accessible, Zoox designs its vehicles entirely around the rider. We're currently operating in Las Vegas and San Francisco, with Austin and Miami on the horizon, and testing underway across seven U.S. markets. About Our Part-Time Student Worker Program Zoox's part-time student worker program puts you at the center of one of the most ambitious challenges in transportation. You'll contribute to real projects, work alongside engineers and researchers pushing the boundaries of autonomous technology, and gain experience that goes well beyond the classroom. We're looking for students who bring strong academic foundations, curiosity that doesn't stop at coursework, and a drive to be part of something that matters. Role Overview Analyze the coverage and exposure rate of interesting events in highway data; mind highway scenarios and build highway datasets; build dashboard to monitor highway data collection Responsibilities Write Databricks notebooks to mine scenarios, create datasets, and build dashboards Conduct exposure analysis to identity performance issues and data gaps by analyzing large-scale vehicle logs and simulation data Write data analytic reports Required Qualifications Strong proficiency in SQL, PySpark, Python in production environments with standard repo practices Experience working with time-series or sensor data Familiarity with robotics or AV data is a plus Bonus Qualifications ML Robotics Program Requirements Currently enrolled in a B.S. or M.S. program in Computer Science, Data Science, Engineering, or a related quantitative field (or equivalent experience). Available

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. We are hiring a Machine Learning Engineer to join our ETA team. Our team builds and maintains Lyft's system responsible for estimating/predicting ETAs for every ride request on our platform. ETAs play a critical role in matching decisions, pricing estimates and overall user experience. Low latency, high reliability and high accuracy are paramount for our success. If you are a critical thinker with experience in machine learning workflows and writing reliable code, passionate about solving business problems using data and working in a dynamic, creative, and collaborative environment, we are searching for you. Our technology stack runs on AWS, Kubernetes, Go, Spark, Python and Apache Airflow. In this role, you will work with incredibly passionate and talented colleagues from software engineering, machine learning and data science on building rideshare experiences that delight millions of riders and drivers. Responsibilities: Perform data analysis and build proof-of-concept to explore and compare ML and non-ML solutions Be able to make effective tradeoffs between model accuracy, its productization complexity and runtime performance Develop statistical, machine learning, or optimization models Write production quality code that can scale well to serve millions of requests per day Participate in code reviews, design reviews, production on-call support and incident triaging process. Write well-crafted, well-tested, readable, maintainable code Experience: B.S., M.S., or Ph.D. in Computer Science or other quantitative fields or related work experience 3+ years of Machine Learning experience Nice-to-have: Experience with big data processing / distributed data pipelines and tools such as Apache Airflow and Spark Ability to work in distributed teams spread across time zones. (North America and

Chicago Trading Company (CTC) is a premier proprietary trading firm specializing in options market making. Our collaborative culture fuels innovation in quantitative research, systematic trading strategies, and cutting-edge trading technology. For over three decades CTC has provided critical liquidity across derivatives exchanges worldwide - making them fairer, more transparent, and more efficient. We strive to be the most innovative firm in the industry today, tomorrow, and long into the future while upholding ethical excellence. We believe that CTC makes a positive impact on the markets, the lives of our employees, and all the communities to which we belong. Started in 1995 by a team of forward-thinking Traders, we are proud to call ourselves an industry leader that keeps making markets and each other better. The Role As a Software Engineering (SE) Intern, you will be challenged to learn and adapt in a dynamic, forward-thinking, and fast-paced environment and will experience life as an engineer on one of our technology teams. Your impact is immediate and meaningful. You will work alongside software engineers designing, solving and testing complex coding problems that will deliver solutions to our trading tools and risk applications. You will build the tools traders and quants rely on to price, trade, and manage risk in real time - and because our release cycles are measured in days, you will watch your code reach production and affect the desk almost immediately. This work draws on a solid foundation in computer science, software development practice, and strong communication and teamwork. You will get exposure to the design and implementation of these systems, which will allow you to build upon your technical skills. As part of the Summer Associate cohort, you will learn and socialize alongside other SE Interns and Quant Trading (QT) Interns. There are a variety of languages you could get practical experience working with including (but

Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We’re redefining customer communications by bringing voice, SMS, WhatsApp, and AI together into one seamless workspace. Our momentum comes from a simple idea: help teams work smarter, not harder. Aircall’s AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI Assist Pro delivers real-time guidance so people can do their best work. The result is higher revenue, faster resolutions, and teams that scale with confidence. Aircall is headquartered in Paris, our European HQ, with a strong North American presence anchored in Seattle, our North American HQ, and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We’ve built a product customers love and a business that’s scaling quickly, backed by world-class investors and driven by rapid AI innovation across multiple product lines. At Aircall, you’ll join a company in motion. We’re ambitious, product-driven, and execution-focused, with visible impact, fast decisions, and real growth. How we work at Aircall : We’re customer-obsessed, data-driven, and focused on delivering meaningful outcomes. We value ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative, fast-moving environment where trust and impact matter, you’ll feel at home here. Key Responsibilities: Own key responsibilities in the design, architecture, and end-to-end delivery of AI-driven modules. Propose innovative solutions by staying ahead of AI landscape trends and emerging technologies. Create, design, develop, test, and monitor your code in production autonomously and reliably. Collaborate with product managers, designers and other engineers to offer pragmatic solutions to real world problems and implement them end to end. Work with your team to design solutions and be

Level Up Your Career with Zynga! At Zynga, we bring people together through the power of play. As a global leader in interactive entertainment and a proud label of Take-Two Interactive, our games have been downloaded over 6 billion times—connecting players in 175+ countries through fun, strategy, and a little friendly competition. From thrilling casino spins to epic strategy battles, mind-bending puzzles, and social word challenges, our diverse game portfolio has something for everyone. Fan-favorites and latest hits include FarmVille™, Words With Friends™, Zynga Poker™, Game of Thrones Slots Casino™, Wizard of Oz Slots™, Hit it Rich! Slots™, Wonka Slots™, Top Eleven™, Toon Blast™, Empires & Puzzles™, Merge Dragons!™, CSR Racing™, Harry Potter: Puzzles & Spells™, Match Factory™, and Color Block Jam™—plus many more! Founded in 2007 and headquartered in California, our teams span North America, Europe, and Asia, working together to craft unforgettable gaming experiences. Whether you're spinning, strategizing, matching, or competing, Zynga is where fun meets innovation—and where you can take your career to the next level. Join us and be part of the play! Role Overview We are looking for a versatile and experienced Senior Concept Artist to join our production team. You will be responsible for creating high-quality 2D art assets—ranging from character concepts and environmental backgrounds to fully integrated UI layouts in Unity. The ideal candidate blends artistic talent with a practical understanding of engine implementation and mobile/web game production pipelines. What You'll Do: 2D Art Production: Design and render high-quality 2D character artwork, props, UI elements, and background environments (BGs) tailored to project visual styles. UI Integration & Workflows: Slice, optimize, and organize UI assets for engine readiness. Build and test responsive UI layouts within Unity to ensure visual integrity across multiple device aspect ratios. Asset Management: