Jobiba hiring network

Production Supervisor Jobs

4,838 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.

About the Team: The Workforce Demand Forecasting team is part of Global Support and Integrity Operations. We help DoorDash deliver reliable, efficient, and high quality support by translating business activity into demand forecasts and actionable planning insights. Our work informs customer experience, workforce investment, operational readiness, and cost. We partner with Workforce Management, Operations, Finance, Business Intelligence, Data Science, Product, and Engineering to improve forecast accuracy, strengthen planning decisions, and build scalable operating mechanisms. The team supports a broad set of global support workstreams. Our goal is to provide leaders with the forecasts, insights, and decision frameworks needed to balance service, customer experience, and cost. About the Role: We are seeking an Associate Manager to lead a defined set of Forecasting workstreams and strengthen the team’s operating model. This role goes beyond forecast production. You will own workstream performance from end to end, including forecast quality, prioritization, business readiness, stakeholder alignment, and continuous improvement. You will translate complex data into clear recommendations, make informed tradeoffs, and help leaders understand key risks, opportunities, and decisions. You will also guide and develop analysts through coaching, technical support, and clear performance expectations. The ideal candidate combines analytical depth, strategic judgment, operational discipline, and strong cross functional influence. Success in this role requires advanced SQL skills, strong business acumen, and demonstrated experience improving forecasting, planning, or operational processes at scale. You’re excited about this opportunity because you will own: Forecasting Performance and Business Readiness Lead demand forecasting across designated business lines and workstreams, with accountability for forecast accuracy, assumptions, risks, and recommended actions across planning horizo

sqlmachine learningExcel
View job →
O
Okta
📍 Toronto• C$136K – C$187K/yr
Just now

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Okta Privileged Access Management (PAM) is an identity-centric approach to a common and critical privileged access use case. Our elegant Zero Trust architecture is purpose-built for the modern cloud and helps customers solve challenging security and operations pain points at scale. We are looking for a software engineer to join our fast-growing team with a focus on scalability, reliability, and enhancing the core building blocks of the product. In this role you will: Be deeply involved in evolving the core architecture of PAM. Work in our product development teams to build scalable, composable components of our platform. Be responsible for designing and implementing scalable architecture patterns. Delight our customers by providing world class UX using our React-based design system Design and build APIs that customers rely on for access to production infrastructure. Work on backend components written in Go and frontend components written in React. You might be a good fit if you: Have 3-5 years of software development experience with a background in Golang or similar programming languages. Proficient in React or similar front-end UI stacks. Experienced working with relational databases like PostgreSQL or similar RDBMS technologies. have the ability to complete a feature end to end from designing database models to backend APIs and frontend UI components. Experienced working with any cloud provider such as AWS, GCP or Azure. Thrive in a collaborativ

reactpostgresqlaws
View job →
E
Enigma
📍 New York• $175K – $210K/yr
Just now

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

E
Enigma
📍 New York• $175K – $225K/yr
Just now

The Opportunity We’ve built out a best-in-class data asset and AI tools about businesses in the US. We are continually expanding our data coverage to ensure our product is a one-stop-shop for KYB, onboarding, assessing fraud risk, creating and managing sales/marketing campaigns to US businesses. We need to ensure we are constantly keeping an eye out for new data sources that will enhance our product, as well as ensuring every data partnership we use today continues to add value. What You'll Do We’re looking for someone who will anticipate Enigma’s data needs based on the company strategy and near term goals. You’ll source new data partners to strengthen Enigma’s data assets and overall product, both opportunistically and as requested by internal product and engineering teams. You’ll be responsible for the management and ongoing growth of our internal source of truth data. You’ll also be responsible for evaluating the data quality of new partners’ data and owning the integration of that data. You’ll manage relationships with data partners - all the way from sourcing data, negotiating contracts and managing data budgets to assessing data partner performance and negotiating renewals. You’ll collaborate with Legal, Finance, Product and Engineering. This is a role with a high-level of accountability. You will need to anticipate the data needs of internal teams well before they need the data to make sure they are not blocked. You’ll need to drive forward conversations and evaluations with data partners, even when these are not high priority in the near term for other stakeholders. We Are Looking for Someone Who Is fluent in SQL, passionate about analyzing data, and knows the difference between data that only looks good in a sample and data that holds up once it’s in production. Has very strong negotiating chops - you understand how to “give and take” to get the best deal Is an expert at relationship management Operates with a sense of urgency and perseveres through

sqlaifinance
View job →
E
Enigma
📍 New York• $180K – $240K/yr
Just now

The Opportunity This is a critical and exciting time at Enigma. Our customers consistently tell us that our data products create tremendous value and are deeply aligned with their most important workflows. As demand grows, we have an urgent opportunity to improve both the intelligence of our data and the systems through which customers access it. We are looking for an experienced Senior Software Engineer to join our Match Team and help shape the next generation of Enigma’s customer-facing data products. You will play a central role in architecting, building, and managing the critical engineering systems required to power fast, relevant, and reliable search and retrieval experiences at scale. This is a uniquely high-impact role sitting at the intersection of information retrieval, distributed systems, microservices, and customer data delivery. The Role At the core of Enigma’s product is our data, which makes delivery systems central to what we build. As a Senior Software Engineer on the Match Team, you will lead efforts that improve the latency and scalability of our customer-facing data products. You’ll work across the full software lifecycle: translating product requirements into technical designs, and implementing high-throughput search and retrieval systems. This role is ideal for an engineer who is excited by hard search problems and the systems challenges of delivering low-latency, production-grade retrieval systems. What You'll Do Build scalable, highly-available, high-throughput, highly maintainable systems, deployed in cloud environments Design and build low-latency, high-throughput search APIs, indexing pipelines, and retrieval systems using Python, Typesense, and AWS Evaluate and evolve our search technology stack, driving technical design decisions across retrieval architecture, indexing strategies, and system performance tradeoffs Solve problems with containers, cloud infrastructure, and infrastructure as code (we use Docker, AWS, and Terraform) Lead end

pythonawsdocker
View job →
SA
Snorkel AI
📍 New York• Hybrid• $200K – $375K/yr
Just now

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

pythonawsmachine learning
View job →
SA
Snorkel AI
📍 New York• Hybrid• $200K – $375K/yr
Just now

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! ABOUT THE ROLE We're looking for a Research Scientist to lead the design of next-generation benchmarks and datasets that push the boundaries of frontier model evaluation. You'll define what "good" looks like across a range of hard tasks, drawing on conversations with customers and academic partners to ground your datasets in real performance gaps. You'll build both the benchmarks that measure those gaps and the training data that helps close them, then partner with delivery, product, and go-to-market to bring what you build into production. This role is ideal for someone who wants to shape how the field measures progress in frontier AI, and who's energized by doing that work inside a fast-moving, cross-functional startup. MAIN RESPONSIBILITIES Design state of the art datasets that drive frontier model training and evaluation based on current model performance and academic partnerships Translate benchmark insights into clear, compelling narratives that articulate the ROI of expert-curated data for customer-facing presentations, technical reports, and go-to-market materials. Work cross-functionally with data operations, product, engineering, and strategy to surface research findings that inform the company roadmap. Stay at the frontier of LLM evaluation research and bring best practices into Snorkel's workflows Represent Snorkel's research externally through publications, blog posts, conference talks, and customer engagements that

machine learningai
View job →
A
Just now

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, 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. We 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. Senior Software Engineer, US Bank Accounts Team We’re looking for a Senior Software Engineer to join the nascent US Bank Accounts team, building products that enable businesses to open, manage, and move money directly within our ecosystem. You’ll help evolve and scale existing capabilities to enable significant growth, refine and deepen customer experiences, and build new products that expand our offering. As an early member of the team, you’ll have the opportunity to shape technical design, architecture, and roadmap decisions; own projects from beginning to end; and help define the team’s culture and identity. You’ll partner closely with engineering, product, and key stakeholders to turn complex banking needs into reliable, scalable customer experiences. This Chicago-based role is part of the broader Financial Services product organization, which owns the full suite of financial products we offer to our customers. What you’ll do: Work on complex technical projects from requirements analysis through design, implementation, testing and launch into production. Bring your own point of view on best engineering practices. Be hands-on and contribute to the implementation. Identify and improve parts of the platform to make it more robust and scalable. Your code will be used at scale and you are expected to think in that mindset when

javasqlpostgresql
View job →
AC
Appian Corporation
📍 United States• $200K – $350K/yr
Just now

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. Principal Applied AI Engineer Location: Remote (US) Lead the engineering of software that matters — driving AI automation for the world's largest enterprises. ABOUT THE TEAM Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. THE OPPORTUNITY As a Principal Applied AI Engineer, you will serve as the technical linchpin for applied AI on the team, bringing deep hands-on expertise in designing and operating production LLM systems and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity AI systems — spanning code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability — set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration. WHAT YOU'LL DO Develop Clean Software: Architect, build, and optimize high-performance production LLM systems while maintaining a strong personal technical presence on the team. Lead Platform Modernization: Spearhead strategic technological chan

aisalesforce
View job →
AC
Appian Corporation
📍 United States• $150K – $300K/yr
Just now

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. Lead Applied AI Engineer Location: Remote (US) Grow your engineering career building the AI systems that understand, model, and rebuild enterprise applications — powering AI automation for the world's largest enterprises. ABOUT THE TEAM Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. THE OPPORTUNITY As a Lead Applied AI Engineer, you will serve as a technical linchpin for the team building AI systems that reason about enterprise applications end to end — spanning agents and orchestration, specification extraction from existing systems, application intelligence and retrieval, and rigorous LLM evaluation. These skills are shared across the team, so you'll bring production depth in some of these areas and the range to grow into the others. Equipped with cutting-edge AI tooling, you'll design and deliver systems of real sophistication, shape engineering practices, and deepen your expertise while ensuring flawless Enterprise-Grade Orchestration. WHAT YOU'LL DO Develop Clean Software: Architect, build, and optimize production AI systems while keeping a strong hands-on technical presence. Build Production Agents: Design reliable agents

aisalesforce
View job →
AC
Appian Corporation
📍 Milan• €25K – €75K/yr
Just now

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. Location: Milan, Italy | Work Model: Remote Consultant Appian Customer Success is obsessed with delivering exceptional customer outcomes and mission-critical business impact at speed. Our team acts as the elite consulting arm of Appian, partnering directly with the world’s largest commercial clients to bring their most ambitious ideas to life. By joining this high-performance team, you will establish a world-class foundation in professional consulting while directly accelerating global adoption of our AI-Powered Process Automation platform. As a Consultant at Appian, you won’t just write code - you will architect modern business transformations. This role offers an unprecedented opportunity to sit at the intersection of business strategy and technical innovation. Instead of being pigeonholed into isolated legacy components, you will own the end-to-end delivery of highly visible, custom software solutions. You will work side-by-side with client executives to solve complex workflow problems, build robust integrations, and empower enterprise teams to achieve Enterprise-Grade Orchestration . What You’ll Do Architect & Implement: Design, develop, and deploy robust, custom automation solutions throughout the entire project lifecycle utilizing Appian’s AI-Powered Process Automation platform. Integrate Ecosystems: Build seamless data connections and scalable APIs to integrate multiple external enterprise systems using REST, SOAP, and JDBC connections. Engineer Data Models: Launch new relational data models in production environments and optimize databa

sqlawsmachine learning
View job →
L
Litmos
📍 United States• $160K – $175K/yr
Just now

Are you looking for an opportunity to help solve one of today's biggest business challenges? AI is changing the pace of business, and organizations everywhere are struggling to help their workforce, partners, and customers keep up. At Litmos, we're building the Learning Acceleration Platform that helps organizations build human capability faster—and we're looking for people who are passionate about making a meaningful impact for customers while growing alongside a collaborative, people-first team. Litmos is the Learning Acceleration Platform that helps organizations build capability faster, adapt at the speed business changes, and scale learning to anyone, anywhere. Combining an intuitive platform, AI-powered capabilities, trusted content, expert services, and a broad ecosystem of integrations, Litmos helps organizations accelerate workforce productivity, improve customer adoption and retention, enable high-performing partners, and reduce organizational risk through continuous learning. Organizations such as Hewlett Packard Enterprise, Graco, Sabre, and Russell Mineral Equipment trust Litmos to accelerate learning across their workforce, partners, and customers. Today, more than 11K customers with 30 million learners across 150 countries and 37 languages use Litmos to build the capabilities their organizations need to succeed. Backed by Francisco Partners, one of the world's leading technology investment firms, we're investing in the future of learning—and the people who are building it. Learn more at www.litmos.com . We are seeking a Director, Product Management to serve as the SVP Product's operational partner and critical connector across product management, engineering, content production, marketing, sales, and customer success teams spanning distributed operations across the US, UK, Australia, and India (Pune). You will be accountable for a combination of working with other organizations to optimize our agentic product delivery cycle and operating

E
Edmentum
📍 Bloomington• $130K – $140K/yr
Just now

WHO WE ARE Edmentum is a dynamic educator and student-focused company dedicated to tech-enabled learning solutions. Our goal is to ensure that all students have access to flexible learning environments and educators have the tools they need to support their students. We are on a mission to create innovative, proven learning technology, partnering with educators to ignite student potential. We are a Remote First organization with a strong commitment to excellence, innovation, and customer satisfaction. We are embracing AI-first engineering practices across Technology, equipping our engineers with leading AI and agentic development tools and continually evolving how we build software. We are embedding AI-enabled practices across the full software delivery lifecycle - from research and design through development, testing, delivery, and operations, amplifying engineering impact, accelerating innovation and delivery while improving quality. What You’ll Do As a Senior Software Engineer, you’ll play a pivotal role in shaping solutions that impact educators and students every day. You’ll leverage your technical depth and leadership to guide delivery from idea to production, modernize legacy systems, and drive innovation in our evolving product landscape. In this role you will: Architect and deliver high-quality, scalable, accessible software solutions using modern .NET and Angular frameworks. Lead technical design sessions and mentor team members to elevate engineering standards. Collaborate with product stakeholders to consult on solution viability and estimation. Modernize legacy web applications and drive adoption of best practices. Proactively identify and address technical risks and inefficiencies. Create and maintain technical documentation for solutions and processes. Take ownership of the entire solution lifecycle, emphasizing quality and iterative value delivery. Who You Are You embrace AI/agentic assisted development backed by advanced context engineering and prom

reactangularaws
View job →
OA
Oliv AI
📍 India• Full-time• Remote
Just now

About Us Oliv.AI is a SalesTech global startup headquartered in San Francisco, debuting the world's first team of AI Agents for sales. With our recent $5.2M Seed funding, we solve one of the biggest problems for revenue teams: unreliable deal data. Oliv captures Deal Intelligence from every meeting, call, and email—without any rep involvement. The result is a clear, detailed view of every deal, presented in scorecards built on trusted sales methodologies like MEDDICC, BANT, and SPICED. Our AI agents are built for sales teams—sales managers, AEs, and RevOps—handling the work that takes them away from selling. With Oliv AI, sales teams can bring back focus on deals, strategy and conversation. About the Role We’re looking for an exceptional engineer to join the core team at Oliv AI. This is a high-ownership role for someone who can take an ambiguous product or engineering problem, figure out what actually needs to be solved, and drive it end-to-end from architecture and prototyping to production and iteration. You’ll primarily work on backend systems, but we don’t want engineers constrained by boundaries. If the problem requires frontend, infrastructure, data, AI/LLM integrations, or internal tooling, you should be comfortable figuring it out. We’re looking for someone with strong engineering judgment, someone who can spot what is not working, simplify complexity, think from the customer’s perspective, and improve the systems and practices around them. What You’ll Do Own complex, ambiguous engineering problems from first principles through production Design simple, scalable, reliable systems and make strong architectural trade-offs Think beyond the ticket and understand the customer problem behind what you’re building Identify technical or product issues proactively, not only when they are assigned Work across backend, frontend, infrastructure, data, and AI when needed Prototype quickly, test different approaches, and make decisions based on evidence Use mode

REMOTEai
View job →
B
Just now

At Breeze, we're building the AI-powered infrastructure layer for global commerce, making it radically simpler for businesses to sell, get paid, and operate across markets. We go far beyond traditional payment processing. Breeze combines global payments, AI, stablecoins, and a Merchant of Record-like model to take on the complexity businesses typically manage themselves, including compliance, risk, fraud, chargebacks, reconciliation, and customer support. Our goal is simple: let businesses focus on building and selling great products while Breeze handles the complexity behind getting paid. Backed by Sequoia Capital , Multicoin Capital , and The Chainsmokers , Breeze is a successful, rapidly growing, and exceptionally well-capitalized company. We have the runway to think long term while remaining early enough that every person joining today can have a meaningful impact on what we build. We are hiring a Staff Machine Learning Engineer, Risk! As our Staff Machine Learning Engineer, Risk, you'll lead the evolution of our ML platform for payment risk, building the production-grade capabilities behind feature engineering, model training, deployment, monitoring, and continuous improvement. Risk decisions sit at the center of our business, and you'll own how those models get built, shipped, and kept healthy. This role reports to the CTO. You'll work closely with Risk, Software Engineering, and Data Engineering, and you'll be the senior technical voice for ML on the risk team. We're looking for someone who thrives in fast-moving environments, wants meaningful ownership, and is excited to build rather than simply maintain. What You'll Do Design and build ML infrastructure for payment risk detection, using Databricks as the core platform, in close partnership with software and data engineers. Bring structure to the team's ML environment: feature pipelines, versioning, job orchestration, and monitoring. Design and productionize models rather than just prototype them, including

machine learningai
View job →
🔔

Get new production supervisor jobs by email

Daily job updates · Unsubscribe anytime