Production Supervisor Jobs

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role We’re looking for Forward Deployed Infrastructure Engineers who can help us build, operate, and maintain high-performance, scalable, and reliable services for Palantir platforms, products, and deployments. You'll get to use your creativity to develop novel solutions to evolving challenges and automate processes wherever possible, using whichever tools are best for the job including industry-leading LLM and AI technology! As a Forward Deployed Infrastructure Engineer, every day is different! You will be developing software and providing high-quality support for software systems that are critical to solving our government’s greatest challenges. We strongly believe in engineering teams being responsible for the operations of their services in production. As such, you’ll work closely with forward deployed teams and product teams to participate in sensible, scalable, systems design and share responsibility with them in diagnosing, resolving, and preventing production issues. Core Responsibilities Handle support and operations of Palantir software, including monitoring and alerting, configuration management, and upgrades Deploy new Palantir products at customer deployments and perform migrations to the latest infrastructure types Debug, improve, and optimize Palantir’s services and infrastructure with a focus on long-term reliability and scalability Reduce manual operations and automate workflows, processes, and/or runbooks where possible Provide technical troubleshooting support for production issues, ensuring timely resolution and minimal impact on operations. Participate in a support on-call schedule. Develop

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role We’re looking for Forward Deployed Infrastructure Engineers who can help us build, operate, and maintain high-performance, scalable, and reliable services for Palantir platforms, products, and deployments. You'll get to use your creativity to develop novel solutions to evolving challenges and automate processes wherever possible, using whichever tools are best for the job including industry-leading LLM and AI technology! As a Forward Deployed Infrastructure Engineer, every day is different! You will be developing software and providing high-quality support for software systems that are critical to solving our government’s greatest challenges. We strongly believe in engineering teams being responsible for the operations of their services in production. As such, you’ll work closely with forward deployed teams and product teams to participate in sensible, scalable, systems design and share responsibility with them in diagnosing, resolving, and preventing production issues. Core Responsibilities Handle support and operations of Palantir software, including monitoring and alerting, configuration management, and upgrades Deploy new Palantir products at customer deployments and perform migrations to the latest infrastructure types Debug, improve, and optimize Palantir’s services and infrastructure with a focus on long-term reliability and scalability Reduce manual operations and automate workflows, processes, and/or runbooks where possible Provide technical troubleshooting support for production issues, ensuring timely resolution and minimal impact on operations. Participate in a support on-call schedule. Develop

The Opportunity We're hiring a Senior Designer to be the creative partner behind Enigma's go-to-market efforts. Our identity is mid-refresh, so this isn't a role that only applies to our existing design system, you'll help systematize its evolution. You'll work directly with our marketing lead (a generalist across channels and strategy) to turn GTM ideas into campaigns, web pages, sales collateral, and social content. What You’ll Do Shape GTM creative, don't just execute it. Partner on campaign concepts and go-to-market ideas, bringing your own point of view rather than filling in a pre-set brief. Systematize the brand system. Contribute to Enigma's brand organization including but not limited to maintaining asset libraries, deck templates, and brand guideline documents. Build and update the website. Design and ship pages directly in our custom CMS (deployed on Vercel), from layout to content to launch, alongside marketing and engineering. Create sales and marketing collateral. One-pagers, case studies, pitch decks, and flexible slide systems the team can reuse for sales, marketing, and leadership. Own social and campaign content. Design LinkedIn carousels and campaign graphics, and cut short-form video (“cut-ups”) from longer source material. Design HubSpot campaign assets. Email templates and campaign landing pages that support lifecycle and demand-gen marketing. Prep imagery. Retouch and prepare hero and content images for web, social, and marketing channels. Use AI as part of the workflow. Use Claude, ChatGPT, Gemini etc. for ideation, copy support, team collaboration, and speeding up production, we want someone comfortable working this way, not resistant to it. Maintain consistency. Typography, color, imagery, and tone stay on-brand across every deliverable. What Makes This Role Exciting? Real ownership: you're helping build the brand system, not just maintaining one that's already locked. A true creative partnership: you'll work directly with a marketing gener

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role We’re looking for Forward Deployed Infrastructure Engineers who can help us build, operate, and maintain high-performance, scalable, and reliable services for Palantir platforms, products, and deployments. You'll get to use your creativity to develop novel solutions to evolving challenges and automate processes wherever possible, using whichever tools are best for the job including industry-leading LLM and AI technology! As a Forward Deployed Infrastructure Engineer, every day is different! You will be developing software and providing high-quality support for software systems that are critical to solving our government’s greatest challenges. We strongly believe in engineering teams being responsible for the operations of their services in production. As such, you’ll work closely with forward deployed teams and product teams to participate in sensible, scalable, systems design and share responsibility with them in diagnosing, resolving, and preventing production issues. Core Responsibilities Handle support and operations of Palantir software, including monitoring and alerting, configuration management, and upgrades Deploy new Palantir products at customer deployments and perform migrations to the latest infrastructure types Debug, improve, and optimize Palantir’s services and infrastructure with a focus on long-term reliability and scalability Reduce manual operations and automate workflows, processes, and/or runbooks where possible Provide technical troubleshooting support for production issues, ensuring timely resolution and minimal impact on operations. Participate in a support on-call schedule. Develop

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. You Will: Design, build, and maintain backend integrations using AWS services such as Lambda, S3, SQS, SNS, and EventBridge Develop API-based automations and orchestrate data flows between Salesforce, NetSuite, Workday, Snowflake, and other SaaS platforms Refactor and enhance legacy integration logic to align with modern architecture standards Own your code from design through CI/CD (GitLab) and deployment via Terraform/CloudFormation Collaborate with US-based engineers on shared initiatives, sprint planning, code reviews, and technical handoffs Participate in a shared production support rotation, resolving critical integration and data pipeline issues Partner with architects and BSAs to review integration design and testing strategies for reliability and resilience Support both ETL-style batch pipelines and real-time event streaming using CDC and platform events You Have: BS in Computer Science, related field, or equivalent industry experience 5+ years of experience in backend software development or automation using Node.js, Python, VS code or similar Strong experience with AWS services, especially Lambda, S3, SQS/SNS, EventBridge, DynamoDB Expertise in database design, schema modeling, and query optimization (DynamoDB & Snowflake preferred) Strong grasp of integration design patterns, secure API development (REST/SOAP), and system interoperability Develop and maintain GitLab based CI/CD pipeline implementations for tests, linting, deployment, etc. Experience with managing infrastructure as code (Terraform, Cl

About Graphcore 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. The Role: We are developing the next generation of AI compute, a large-scale system-on-chip (SoC) designed to power future high-performance AI systems. As the SoC Validation Lead, you will be responsible for enabling pre-production software to run reliably on new silicon quickly and efficiently, before showing that the silicon meets the highest standards of quality, reliability and functionality, ready for production deployment. You will lead a team delivering post-silicon validation across the full AI SoC, working across silicon, firmware, and platform levels. The role requires a deep technical understanding, strong hands-on debug experience, and the ability to collaborate effectively with hardware, software, and systems engineering teams. Responsibilities: Define and lead post-silicon validation strategy Develop and refine the overall post-silicon validation approach for our AI SoCs, ensuring reliable and timely delivery of validated silicon, architectural correctness, feature robustness, and at-scale system reliability. Drive cross-domain debug and issue resol

Data Science Manager Location: London (Hybrid) | Practice Area: Data & Analytics | Type: Permanent Shape intelligent solutions. Lead with insight. Drive data innovation. The Role We’re looking for a Data Science Manager to lead innovative projects that apply data, AI, and machine learning to solve complex challenges across financial services. You’ll guide talented data professionals, collaborate closely with business stakeholders, and drive impactful, scalable solutions that deliver measurable business value. You'll champion AI-enabled ways of working, encouraging the responsible use of approved AI tools and automations to improve delivery quality, productivity, and insight while maintaining appropriate human oversight and governance. What You’ll Do Lead data science teams to design, develop, and deploy advanced machine learning and AI solutions. Drive the adoption of cutting-edge technologies including generative AI, LLMs, and agentic AI frameworks, while promoting responsible AI practices, governance, and appropriate human review throughout the delivery lifecycle. Collaborate with business and technology teams to align technical outcomes with strategic goals, leveraging AI-enabled workflows where appropriate to accelerate insight and delivery. Provide thought leadership and best practices across the data science lifecycle, from exploration to deployment, including scalable MLOps, model governance, and responsible AI implementation. Mentor and develop data professionals, fostering a culture of innovation, continuous learning. What We’re Looking For Proven experience leading the delivery of data science or AI projects from concept to production. Strong knowledge of Python and core ML libraries (e.g., spaCy, NumPy, SciPy, Transformers). Understanding of big data and cloud technologies (Spark, Hadoop, Azure, AWS, or GCP). Deep expertise in MLOps principles, scalable model deployment, model governance, and the practical application of responsible AI within enterpri

OVERVIEW The Inside Sales, Sales Support is the pivotal link between sales, purchasing, and logistics, responsible for ensuring all customer orders are accurately processed, fulfilled efficiently, and delivered on time. This role requires exceptional organizational skills, a customer-first mindset, and strong proficiency in utilizing our Enterprise Resource Planning (ERP) system for all operational processes. Core Duties and Responsibilities The duties are divided into three key areas, with an emphasis on system proficiency: I. Order & Billing Management (ERP Focus) Order Entry & Data Integrity: Accurately process and enter high volumes of customer sales orders (POs, change orders) directly into the ERP system, ensuring zero tolerance for data errors in pricing, product codes, and customer information. Billing & Finance Support: Generate, audit, and dispatch customer invoices, working closely with the accounting team to resolve discrepancies and manage payment terms. System Utilization: Serve as a key resource for ERP system usage within the operations department, ensuring proper process flow from order initiation to billing closure. II. Purchasing & Logistics Coordination Procurement: Initiate and track purchase orders for all necessary items, managing inventory levels and vendor relationships to maintain optimal stock and supply. Lead Time Management: Proactively monitor vendor production schedules and shipping timelines to determine accurate item lead times ; communicate any potential delays or schedule changes immediately to the sales team and customers. Logistical Oversight: Coordinate with internal warehouse/logistics teams and external carriers to schedule timely deliveries and coordinate pickups/swaps as needed. III. Customer Relations & Follow-Up Customer Communication: Act as the primary point of contact for all order-related inquiries, including questions on status, lead times, del

About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! As a Research Scientist at Snorkel AI, you will bridge the gap between cutting-edge research and real-world AI systems. This is a hands-on role where you will prototype, build, and deploy innovative AI solutions—translating research breakthroughs into scalable, practical applications that solve real-world problems. Snorkel AI operates in a fast-paced, high-impact environment, where we move quickly to push the boundaries of what’s possible. We’re looking for someone who thrives on rapid iteration, solving open-ended challenges, and driving innovation from research into production. Location: San Francisco, New York City OR REMOTE Main Responsibilities Design, implement, and validate novel AI techniques for data development such as synthetic data generation, utilizing techniques such as LLM as a Judge Prototype and build end-to-end workflows, integrating research ideas into scalable systems. Write high-quality, maintainable code, ensuring robust implementation of research-driven innovations. Move fast and adapt—iterating on solutions in response to new challenges, customer needs, and emerging research. Work closely with real-world design partners, testing solutions in applied settings with measurable impact. Collaborate with research scientists, engineers, and industry partners to push forward Snorkel AI’s broader research initiatives and rapidly productionize prototypes. Preferred Qualifications Strong expertise in AI, NLP, multi-modal models, LLMs, and g

Principal Embedded SW/FW Engineer (Bringup) - Bengaluru, multiple vacancies Job Summary We have an exciting opportunity to be part of a collaborative, cross-functional development team validating cutting-edge, high-performance AI chips and platforms. You will play a key role in supporting new product introductions and post-silicon validation. Working within the Post-Silicon Validation team, you will be involved with bringing first silicon to life, functionally validating it and working closely with many other teams to help it become a fully characterised and working product, reporting project status/progress to program management on a regular basis. You will have the opportunity to provide technical guidance to other engineering team members. In this role, you can leverage our experience and industry knowledge to architect and drive implementation of continuous improvements to test infrastructure and processes. The Team The Post-Silicon Bringup team sits within the Architecture and Validation team, we are responsible for bringup and validation of new silicon when it returns from manufacture, enabling and supporting the production SW and FW teams to bring up their software and supporting the Silicon Characterisation team. Responsibilities and Duties Plan, design, develop and debug silicon validation tests in bare metal C/C++ on FPGA/Emulator prior to first silicon Deploy silicon validation tests on first silicon and debugging them Develop automated test framework and regression test suites in Python to optimize validation efficiency Collaborate closely with engineers from many other disciplines on a variety of topics Work with Validation and Production Test engineering peers to implement best practices and continuous improvements to test methodologies Analyse test results, identify and debug failures/defects Contribute to shared test and validation infrastructure Provide feedback to architects Candidate Profile Essential:

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Recommendation Systems are a key growth lever at Roblox, driving retention, engagement, and monetization for hundreds of millions of users. This role offers the unique opportunity to redefine how users search and discover everything from the most interesting immersive experiences and digital avatars in our Marketplace to personalized advertising. You will solve a diverse range of high-scale ranking, retrieval, and personalization problems across our platform. We combine cutting-edge research —including deep learning, generative AI, and reinforcement learning techniques— with large-scale engineering to bridge experimentation and production; you'll design algorithms that operate at massive scale and shape the next generation of recommender systems for user-generated content. Teams Hiring for This Role Search and Discovery: powers major recommendation surfaces—conducting cutting-edge research in generative modeling, multimodal and MLLM technologies, designing advanced agentic AI algorithms to solve business requirements while achieving technical breakthroughs. Safety, Alt Defense: architects a massive-scale detection engine that identifies recidivist bad actors across billions of account

Our Security team keeps Asana's employees, users, and customers safe by proactively addressing threats and fostering a culture of security across our product and operations. We're looking for a Staff Detection Engineer to join our Threat Response team in our Warsaw innovation hub. You'll own how we find threats: the detection logic, the telemetry it runs on, and the pipeline that ships it. Detection here is software. Rules are written as code, tested against real and synthetic attacker behavior, reviewed in pull requests, and deployed through CI/CD. You'll partner with our incident responders, infrastructure, and product teams to make sure that when something bad happens, we see it fast and with high signal. We offer a Contract of Employment (UoP) for our employees in Poland. What you'll achieve Design, build, and maintain high-fidelity detections across cloud infrastructure (AWS/GCP), identity providers (e.g., Okta), SaaS environments, endpoints, and the software supply chain. Own our detection-as-code pipeline in Panther: rule structure, unit and integration tests, review standards, and CI/CD deployment, so detection logic is treated as production code. Map and close coverage gaps against MITRE ATT&CK and the threat model for our environment, prioritizing the techniques most likely to be used against a SaaS company. Onboard and normalize new telemetry sources , working with infrastructure and IT to make sure the right logs exist, are complete, and are queryable. Measure and improve alert quality , tracking precision, time-to-triage, and false-positive rates, and tuning or retiring detections that don't earn their keep. Validate detections against real attacker behavior through purple-team exercises, atomic tests, and emulation, and feed findings back into rule development. Turn incidents and threat intelligence into detections , partnering with incident responders to convert lessons learned and emerging TTPs into durable coverage. Build enrichment and automati

P-256 We are looking for experienced pre-sales professionals with a proven track record of helping large enterprises become more data-driven. Working with the Account Executive (AE), the Retail and CPG Sr. SA defines and directs the technical strategy for our largest and most important accounts, leading to more widespread use of our products and wider and deeper adoption of ML & AI. You will lean upon your solid background in value selling, technical account management, and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks' products, you need to be technical and must understand the relevance and application of ML & AI within a range of use cases important to the target accounts in the Retail and CPG space. The impact you will have: You will work with 1-5 clients as the main technical voice for Databricks You will lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy You will implement the technical strategy in the account, with a close understanding of the strategy Build a movement of technical champions within the account Align technical strategies around Databricks solutions You will provide structured mentorship for other team members What we look for: 8+ years of experience working in very large (> $1m ARR), from the Retail and CPG-related space 4+ years working in a pre-sales capacity or supporting sales activity Technical in big data, data science, and cloud An ability in data-driven business transformation and driving change with data 4+ years of experience with design and implementation experience in big data technologies such as Hadoop, NoSQL, MPP, OLTP, and OLAP, or full lifecycle data science solutions Maintain and extend production data systems to evolve with complex customer needs Production programming experience in Python, R, Scala, or Java Nice

About the Team With Codex we’re building an AI software engineer. One that you can pair with, delegate to, or even ask to take on future tasks proactively. Our team is a fast-moving group within OpenAI, bringing together research, engineering, design, and product. We iteratively build the Codex agent harness and product to get the most out of the model, and we iteratively train the model to be great at complex software engineering tasks. The Codex team is responsible for building state-of-the-art AI systems that can write code, reason about software, and act as intelligent agents for developers and non-developers alike. We operate across research, engineering, product, and infrastructure; owning the full lifecycle of experimentation, deployment, and iteration on novel coding capabilities. Codex Enterprise builds the ecosystem building blocks, discovery surfaces, and enterprise capabilities that help Codex spread across developers, teams, and organizations worldwide. It is a cross-cutting team that works across the stack to build both delightful product experiences and fundamental platform capabilities. Its customers range from individual developers and small teams to large enterprises, and our mission is critical to achieving the vision of Codex as a proactive teammate. About the Role As we grow, we’re focused on turning Codex from a powerful individual tool into a production-grade teammate for entire organizations. You will work across internal OpenAI teams and external customers, from fast-moving startups to large enterprises, to make it possible to deploy, operate, and trust Codex in increasingly demanding real-world environments. As Codex’s consumer adoption accelerates, enterprise demand is growing just as quickly, and there is also increasing opportunity to expand Codex through ecosystem capabilities that unlock new workflows, integrations, and discovery. This team helps turn messy, real-world team requirements into robust, repeatable, and scalable product and

We’re looking for a Software Engineer to architect and build backend systems that enforce data privacy and automate compliance at scale. You’ll work closely with product, infrastructure, security, and legal teams to embed privacy-by-design into our data and access layers. This is a hands-on, high-impact role for an experienced engineer who is passionate about protecting user data while enabling innovation. What You’ll Do Design, build, and operate backend services that enforce policy-driven data access, lifecycle controls, and privacy protections. Develop distributed authorization and identity-aware enforcement mechanisms integrated directly into data services and control planes. Implement auditability, policy hooks, and enforcement observability to ensure compliance is continuously verifiable. Partner with Security, Legal, and Compliance to convert privacy requirements into scalable technical designs and developer-friendly APIs. Harden data platforms and backend services through schema-level controls and data handling constraints by default. Collaborate with infrastructure teams to ensure consistent enforcement across systems while minimizing duplicated implementations. Contribute patterns, libraries, and education that elevate trustworthy data access patterns across the organization. You Might Thrive in This Role If You Have 5+ years of industry experience building and operating backend or infrastructure systems in production. Strong software engineering fundamentals , with fluency in at least one major programming language (e.g., Python, Go, Rust, C++, Java). Experience with distributed authorization, RBAC/ACL systems, encryption-based access, or policy engines. Familiarity with global privacy regulations and their architectural implications. Ability to influence and collaborate with teams across legal, compliance, product, and engineering. A bias toward practical, impactful solutions that balance privacy protections with product needs. Nice to Have Experience wi