Jobiba hiring network

Production Supervisor Jobs

8,354 active opportunities · Updated for October 2026

Fresh results

15 shown

Explore current production supervisor jobs. Use filters to narrow by work mode, employment type, experience and date posted.

T
Thanx
📍 Brazil Argentina• Remote
8mo ago

*Remote - Brazil & Argentina* Who Are We? Thanx is a leading loyalty and guest engagement platform for restaurants. Thanx helps regional and national restaurant brands grow customer lifetime value with easy-to-use lifecycle marketing automations and innovative customer loyalty tools focused on access, status, and personalization over rote discounts. Thanx’s proprietary credit card tokenization technology dramatically increases the volume and accuracy of purchase data which sits at the core of our CRM suite of tools and our app and web-based ordering experiences deliver industry-leading conversion and repeat purchasing. We were named to Nation’s Restaurant News “2020 Power List” as one of the 50 most influential innovators in food-service. Thanx has gained the investment of prominent venture and growth equity luminaries, having raised more than $30M from elite investors such as M33 Growth, Ribbit Capital, and Sequoia Capital. Core to our success is a culture that has attracted some of the best talent from across the country; we are proud of incredibly strong employee tenure, track record of internal promotions, and impressive alumni network. We credit our cultural “core behaviors” with these accomplishments: Think Boldly, Execute Reliably, Focus on What Matters, Say “Thanx” Genuinely, Encourage Diverse Perspectives, and Lead, Virtually. Key Responsibilities Build scalable, maintainable software solutions across the entire stack Develop using AI augmented workflows. Our engineers use Claude Code as their primary development tool with MCP connections to production data, Jira, Notion, Sentry, and Datadog. We expect engineers to actively leverage and improve these workflows. Diagnose bugs and address root causes to enhance stability; participate in on call rotations Actively engage in code reviews and technical discussions Systematically identify and mitigate technical debt Stay current with emerging technologies and participate in learning opportunities

REMOTEtypescriptreactangular
View job →
T
Thanx
📍 Brazil Argentina• Remote
8mo ago

** Remote - Brazil & Argentina** Who Are We? Thanx is a leading loyalty and guest engagement platform for restaurants. Thanx helps regional and national restaurant brands grow customer lifetime value with easy-to-use lifecycle marketing automations and innovative customer loyalty tools focused on access, status, and personalization over rote discounts. Thanx’s proprietary credit card tokenization technology dramatically increases the volume and accuracy of purchase data which sits at the core of our CRM suite of tools and our app and web-based ordering experiences deliver industry-leading conversion and repeat purchasing. We were named to Nation’s Restaurant News “2020 Power List” as one of the 50 most influential innovators in food-service. Thanx has gained the investment of prominent venture and growth equity luminaries, having raised more than $30M from elite investors such as M33 Growth, Ribbit Capital, and Sequoia Capital. Core to our success is a culture that has attracted some of the best talent from across the country; we are proud of incredibly strong employee tenure, track record of internal promotions, and impressive alumni network. We credit our cultural “core behaviors” with these accomplishments: Think Boldly, Execute Reliably, Focus on What Matters, Say “Thanx” Genuinely, Encourage Diverse Perspectives, and Lead, Virtually. Key Responsibilities Build scalable, maintainable software solutions across the entire stack Develop using AI augmented workflows. Our engineers use Claude Code as their primary development tool with MCP connections to production data, Jira, Notion, Sentry, and Datadog. We expect engineers to actively leverage and improve these workflows. Diagnose bugs and address root causes to enhance stability; participate in on call rotations Actively engage in code reviews and technical discussions Systematically identify and mitigate technical debt Stay current with emerging technologies and participate in learning opportuniti

REMOTEtypescriptreactangular
View job →
R
Replit
📍 Foster City• Full-time• Remote• $180K – $290K/yr
8mo ago

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. Job Summary We are looking for an experienced Growth Infrastructure Engineer to build and maintain the technical backbone that enables scalable growth experiments, high-performance data pipelines, and automated systems that drive user acquisition, engagement, and product iteration. This role sits at the intersection of growth, product, and infrastructure — combining deep technical engineering with experimentation and data-driven optimization. You will collaborate with product, data science, and backend teams to ensure that growth initiatives run smoothly and scale efficiently across systems. Key Responsibilities Growth Infrastructure & Systems Design, implement, and maintain scalable infrastructure that supports growth and experimentation needs. Build and optimize analytics pipelines to capture key product and growth metrics (acquisition, activation, retention, etc.). Develop automated workflows for user onboarding, campaign delivery, and performance tracking. Experimentation & Optimization Support A/B testing frameworks and integrate them into production systems. Enable reliable data collection and evaluation for growth experiments. Automate deployment and rollout of growth feature flags and tests. Cross-Functional Collaboration Partner with Growth Product Managers, Data Engineers, and Analysts to define technical requirements for growth initiatives. Translate business goals into technical specifications and system designs. Provide guidance on performance, reliability, and scalability trade-offs. Monitoring & Reliability Implement monitoring and alerting for growth infrastructure services. Troubleshoot production issues and optimize for uptime and performance. Ensure data quality and consistency for report

REMOTEjavascriptpythonaws
View job →

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Facebook, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. The people of Adyen are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Financial Products The Financial Products solution is responsible for all financial products that we offer on top of payments processing to our customers. Examples of these are our Banking, Issuing, Fx, and Capital products. Whether we work with large partner platforms, medium sized local merchants, or major international enterprise businesses, our products need to meet our clients expectations and seamlessly fit into their systems. What you’ll do: Work on complex technical projects from requirements analysis through design, implementation, testing and launch into production. Be hands-on and contribute to the implementation. Identify and improve parts of the platform to make it more robust and scalable. Bring your own point of view on best engineering practices. Your code will be used at scale and you are expected to think in that mindset when building features. We launch fast and iterate often. Concretely, this means that within your first few weeks, you will bring live functionalities that impact many merchants and shoppers. Build APIs and tooling according to quality principles such as performance and code quality. Collaborate across teams and time zones to get projects over the finish line. Who you are: Familiar with complex large scale distributed systems. You have experience with Java,

javasqlpostgresql
View job →

Who is Artefact? Artefact is a next-generation strategy and data consulting firm dedicated to transforming organisations through data and AI. We combine the rigour of top-tier strategy consulting with deep expertise in data, digital and analytics to help clients achieve tangible business impact. With 2,500+ consultants, data scientists and engineers, we work with global leaders such as Samsung, L’Oréal, Orange and Sanofi. Our Zurich office is at the heart of Artefact’s growth, advising clients on their most pressing strategic challenges — from AI strategy and governance to digital transformation roadmaps and new business model design. Main Responsibilities As an Engagement Manager in our Zurich or Lausanne office, you will work at the intersection of strategy consulting and data and AI delivery. You will: Strategy Development: Work with client leadership teams to address high-stakes questions. How can AI reshape our business model? How should we govern and organise for data? Which strategic programmes deliver the most impact? Structured Problem-Solving: Break complex challenges down into decisions a client can act on, combining consulting rigour with a working knowledge of what current AI can and cannot actually do. Solution Design: Turn a business question into a solution shape — what data it depends on, what kind of platform or product it should sit on, and what “good” looks like once it is built. You will do this alongside our data scientists and engineers, and you will be accountable for whether the design survives contact with production. Project Delivery: Run engagements end to end, from hypothesis framing and market and competitor analysis through to data maturity assessments, client workshops, governance design and implementation roadmaps. Feasibility & Economics: Own the answer to "will this work, and what will it cost". The evaluation approach, the unit economics per query or per case, and the point at which the business case stops closing. Client Enga

machine learningai
View job →
S
Sentry
📍 San Francisco• Full-time• $155K – $400K/yr
8mo ago

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the role As a Senior Software Engineer on Sentry’s AI/ML team, you’ll be responsible for building the evaluation infrastructure that measures the accuracy, reliability, and real-world performance of our AI systems. This role is critical to ensuring that our debugging agents and AI-powered features behave correctly, safely, and predictably as they scale. You’ll design datasets, benchmarks, and test harnesses that turn ambiguous AI behavior into measurable signals, helping the team ship AI with confidence. In this role you will Design and build robust evaluation frameworks to measure accuracy, reliability, regressions, and edge cases in AI systems Create and curate high-quality datasets, golden test cases, and benchmarks grounded in real production data Build automated test harnesses and metrics pipelines to continuously evaluate models, prompts, and agentic workflows Partner closely with applied AI engineers and product leaders to define what “good” looks like and translate it into measurable criteria Own the evaluation lifecycle for major AI initiatives, from early experimentation through production monitoring You’ll love this job if you Care deeply about correctness, rigor, and measurement in AI systems Enjoy turning fuzzy product goals and model behavior into concrete tests and metrics Like building foundational infrastructure that unlocks faster iteration and higher confidence for the entire AI team Thrive in cross-functional environments and enjoy influencing model design through better evaluation Qualifications Minimum 5+ years of professional experience with a Bachelor’s degree in computer science, machine learni

typescriptpythonmachine learning
View job →
A
Anthropic
📍 Ca New York City• $300K – $405K/yr
8mo ago

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 We believe skill with AI is fundamental to human agency. Education Labs builds the paradigms that help people become genuinely more capable—not just more engaged. This is a new kind of role: part researcher, part product builder, part interaction designer. You'll be the second technical builder on a small team studying how AI transforms human capability—and shipping features based on what we discover. You'll have significant creative license to define what "good" looks like, exploring new interaction patterns rather than optimizing existing ones. We're skeptical of tutorials, onboarding flows, and engagement metrics. We care about experiences that make users progressively more capable, curious, and empowered over time. This means integrating skill development into product design, using Claude itself as a capability-building partner, and measuring success by how users actually grow. You'll operate as a one-person technical shop: prototyping new ideas, establishing technical direction, and shipping production-quality features to millions of users. You'll need strong product instincts and clean interface design sensibilities, balanced with comfort in ambiguity and frontier thinking. Responsibilities: Ship features that help users develop real skill with AI—measuring success by capability growth, not time-on-site Architect end-to-end prototypes (front-end and back-end) that test new interaction paradigms, with particular attention to the front-of-the-frontend: motion, polish, and interaction feel Define technical direction for the team—establish patterns others can follow Build relationships across Product, Design, and Rese

javascripttypescriptpython
View job →
C
Cohere
📍 Toronto• Full-time
8mo ago

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! About the Role Are you passionate about secure-by-design software engineering? Do you want to be at the forefront of AI innovation and enterprise security? Cohere's North team is seeking a Software Engineer with a focus on security to join our mission and make a significant impact. This isn't a review-and-advise role, you'll own and ship production security features that customers rely on every day. Your Role: As a Senior Software Engineer with a security focus, you'll play a pivotal role in building and securing North's architecture. Your responsibilities will include: Software Development: Contributing to the core development of security features such as OIDC/OAuth flows and session management, ensuring North's AI agents are secure Secure Coding: Writing secure code to handle OIDC tokens, user claims, and sensitive data, adhering to best practices for JWT validation and encryption Authentication and Data Protection: Implementing authentication mechanisms including user login, token management, and authorization checks to maintain data integrity Tool Integration: Pulling in new tools to enhance North's security capabilities Dev

pythonawsazure
View job →
C
Coinbase
📍 - India• Full-time• Remote• From ₹35.8L/yr
8mo ago

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . EAA Integrations builds scalable automation that connects systems, streamlines business processes, and unifies data across the enterprise. We create integration assets and APIs that improve developer productivity and help teams integrate complex systems efficiently. As our Enterprise Integration team grows, we’re hiring a Workato Developer / Workato Architect with experience building and governing automation at scale. In this role, you will design Workato recipes, frameworks, and connectors while applying integration patterns and platform standards. You will partner with business units and engineering teams to translate requirements into reliable, scalable solutions and ensure integrations run smoothly in production. Reporting to the Manager of Engineering (Integrations), you will help drive automation strategy and strengthen Workato platform excellence across Coinbase. What you’ll do: Design, build, and maintain integrations across enterprise applications using Workato, custom connectors, and automation frameworks. Architect scalable automation solutions and solve complex integration challenges using patterns, governance, and best practices. Integrate Workato workflows with AI and LLM services to support decision-making, content generation, and data enrichment. Build frameworks for incorporating LLMs into business processes with secure and scalable usage. Partner wi

REMOTEawsrestai
View job →
S
8mo ago

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The role: SoFi’s Senior Staff AI Engineer is a hands-on AI engineering role in SoFi’s growing independent risk organization. This is a critical, senior role responsible for setting the technical direction, driving execution, and ensuring the successful delivery of our most complex, production-level AI initiatives. This role will be instrumental in conceptualizing, prototyping and implementing best-in-class AI-based solutions to meet risk management and compliance requirements. This hands-on role will work closely with the Director of Risk Analytics, and will leverage your deep expertise to solve our hardest problems, mentor the next generation of engineers, and directly connect technical innovation to major business success. This is a crucial role for the independent risk function as we execute our mission to help more members get their money right. What you’ll do: Architecture and Strategy: Define the long-term technical architecture and strategy for our next-generation AI platform, particularly focusing on robust, scalable agentic frameworks and LLM deployment patterns. Advanced LLM Orchestration: Architect and standardize the use of graph-based LLM orchestration, leveraging expert-level mastery of LangGraph to solve highly complex, multi-stage reasoning problems at scale. Distributed Agent Memory &

pythonreactaws
View job →
D
Decagon
📍 New York• Full-time• $200K – $240K/yr
9mo ago

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Role As a Field Engineer, you will own the technical scoping and implementation of the most complex requirements that Decagon's enterprise prospects and customers bring to us. You will be the technical expert and trusted advisor to enterprise prospects and customers, proving technical feasibility during the evaluation, and may carry that work through to production. The role is dynamic and cross-functional. You will build complex integrations, configure and optimize agents that deploy into production environments, partner with Solutions Engineers, Product and Engineering to build features your accounts require, and establish technical credibility with stakeholders across the C-suite, platform engineering, and CX organizations. In this role, you will Own the technical win on Decagon's most critical enterprise opportunities, partnering with Account Executives, Solutions Engineers and Agent Product Managers to build software and agents that turn sophisticated, skeptical buyers into signed cus

pythonsqlai
View job →
G
9mo ago

About Graphcore At Graphcore, we’re building the future of AI compute. We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. The Person Graphcore’s experienced, skilled, and motivated engineering team is heavily involved in shaping the future of AI. A successful candidate will exhibit exceptional knowledge in Design for Testability (DFT) and will have a strong technical background and experience in DFT methodologies, complemented by a robust, self-motivated work ethic. The ideal candidate should also have a focus on quality and demonstrate a good understanding of the importance of production test on the success of a product. Some hands-on experience in one or more of the following areas is essential: RTL design, simulations and debugging, synthesis, STA. The Role: We are expanding and looking for an experienced DFT engineers to join the Silicon team. As a part of our team, you will have the opportunity to work on next-generation AI designs targeted for data centers applications. Responsibilities: Keep up with the latest industry trends in DFT domain and help adopt the latest DFT techniques and methodologies Work closely with design, verification, physical design and product engineering teams to integrate DFT requirements into the overall design process Define and implement DFT architecture and features for next-generation AI des

pythonartificial intelligenceai
View job →
O
OpenAI
📍 San Francisco• Full-time• $230K – $385K/yr
9mo ago

About the Team OpenAI’s Applications Engineering organization builds and operates the products that bring our cutting-edge research to millions of users and developers worldwide. The Applied Foundations team owns the core product and platform layers that make those experiences possible — from identity & access, to safety to payments & commerce across all of our apps. Our teams span product engineering, infrastructure, and safety, working together to deliver technology that is reliable, secure, and trusted at global scale. About the Role You will be a Senior Android engineer on OpenAI’s Applied Foundations team, building the core mobile experiences that power how users sign up, manage their account, family features, pay for services, stay safe, and interact with OpenAI’s products with confidence. This role is about creating high-quality products as well as reusable Android foundations that product teams across different OpenAI apps depend on to ship quickly while meeting the highest standards for security, reliability, and user trust. You’ll own complex client-side systems spanning UI, networking, local state, payment integrations and Apple platform integrations, and work closely with backend, product, and safety partners to shape the architecture that supports OpenAI’s mobile ecosystem at global scale. You might thrive in this role if you: Have 4+ years of professional software engineering experience. Have a proven track record of building high-quality Android applications in production. Are fluent in Kotlin (and/or Java) and familiar with Android development tools and architecture components. Prioritize performance, security, and user experience in mobile development. Enjoy working cross-functionally to bring ambitious product ideas to life. Care deeply about performance, security, and user experience. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We

javaartificial intelligenceai
View job →
A
Anthropic
📍 New York• $290K – $450K/yr
9mo ago

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 As a Strategic Account Executive (Life Sciences) at Anthropic, you'll join the foundational team introducing our frontier AI platform to the world's leading life sciences organizations. You'll drive adoption of safe, frontier AI by securing strategic, enterprise-scale deals across pharmaceutical, biotechnology, and research organizations. You'll leverage deep life sciences sales expertise to grow revenue while becoming a trusted advisor to industry stakeholders — helping them embed AI into R&D, clinical development, and commercial workflows, and uncovering its full range of capabilities. Working closely with Product and Marketing, you'll continuously sharpen our value proposition, sales motion, and market positioning for life sciences decision-makers. The ideal candidate is energized by building a new category in an established, highly regulated industry — identifying high-potential accounts across pharmaceutical, biotech, and research organizations, and running the strategies to win them. By driving deployment of Anthropic's emerging products into life sciences enterprises, you'll help these organizations unlock new capabilities while advancing the responsible development of AI. Key responsibilities Own a book of strategic, high-value accounts across pharmaceutical, biotechnology, and research organizations, carrying and exceeding an individual revenue target Engage personally with C-level and senior technical stakeholders (CIOs, CTOs, Heads of R&D, Heads of Data/AI) — building business cases and value narratives, and navigating complex procurement, security, regulatory, and legal review through to production d

awsailogistics
View job →

DataHub is an AI & Data Context Platform adopted by over 3,000 enterprises, including Apple, CVS Health, Netflix, and Visa. Innovated jointly with a thriving open-source community of 13,000+ members, DataHub's metadata graph provides in-depth context of AI and data assets with best-in-class scalability and extensibility. The company's enterprise SaaS offering, DataHub Cloud, delivers a fully managed solution with AI-powered discovery, observability, and governance capabilities. Organizations rely on DataHub solutions to accelerate time-to-value from their data investments, ensure AI system reliability, and implement unified governance, enabling AI & data to work together and bring order to data chaos. What you’ll do: Manage end-to-end release cadences for both DataHub Core (OSS) and our Managed Cloud Coordinate cross-functional teams including engineering, product, QA, DevOps, documentation, and customer success Define Quality Gates: Establish the "Go/No-Go" criteria that ensure every release is rock-solid Build Automation: Design the dashboards and runbooks that turn manual release chaos into a streamlined machine Risk Mitigation: Identify breaking changes and dependency conflicts before they hit production Serve as the central point of contact for all release-related questions and updates Facilitate release retrospectives and drive continuous improvement initiatives Required Qualifications 5+ years of experience in technical program management or release management roles Proven track record of managing complex software releases in fast-paced startup environments Deep understanding of software development lifecycles, CI/CD practices, and DevOps principles Experience with both open-source and enterprise software release models is a strong plus Strong technical background with ability to understand architecture, dependencies, and technical trade-offs Excellent project management skills with proficiency in tools like Jira, Linear, or similar Outstanding commun

dockerkubernetesci/cd
View job →
🔔

Get new production supervisor jobs by email

Daily job updates · Unsubscribe anytime