Production Supervisor Jobs

About the Team DoorDash's Red Team exists to find critical attack paths before real adversaries do. We operate across the full adversary simulation lifecycle — scoping threat-informed engagements, executing realistic attack chains, and working with engineering and detection teams to close the gaps we uncover. Our attack surface spans a multi-sided marketplace: consumer and merchant data, payment systems, driver logistics, and the cloud-native infrastructure that ties it all together. We're looking for a leader who can take this team to the next level. About the Role We need an offensive security leader who stays close to the work. As the Engineering Manager of the Red Team, you'll inherit an existing team, level it up, expand headcount, and build the partnerships needed to turn red team findings into real engineering change. This is a player-coach role — you'll set strategic direction while staying hands-on with engagement scoping, tradecraft, and tooling decisions. You'll report to the Director of Global Security Services. You're excited about this opportunity because you will… Define the red team's strategic roadmap — engagement cadence, target prioritization, and capability development — aligned to DoorDash's threat landscape. Lead, coach, and grow a team of offensive security engineers. Hire intentionally to fill capability gaps as the team scales. Stay technically involved in engagement scoping, methodology, and tooling architecture. Guide adversary simulation, not just manage it. Drive remediation outcomes cross-functionally — partner with detection/response, AppSec, infrastructure security, and product engineering to make sure findings get fixed, not just documented. Build purple team workflows with detection engineering to validate and improve defensive coverage. Direct the development of red team infrastructure and custom tooling as production-quality software. Translate offensive findings into risk language that engineers, VPs, and non-technical stakeholde

Title: Fullstack Application Engineer (Support) (US shift) (or Fullstack Software Engineer (Support)) About Sureify: Sureify is dedicated to modernizing the life insurance and annuity industry. We provide cutting-edge digital solutions that empower insurers to easily engage with, sell to, and service their customers. Our mission is to drive meaningful digital transformation by offering scalable technology that enhances customer engagement and streamlines carrier operations. Sureify's products deliver the advanced digital experiences that life insurance carriers, agents, employees, and consumers now expect in this rapidly evolving technological landscape. AtSureify, we cultivate a culture that prioritizes innovation, collaboration, and continuous learning. About the Role: Are you ready to be part of a dynamic and growing agile software company? At Sureify, we’re helping a large and critical industry -- life insurance -- modernize and innovate. We build digital solutions for some of the world’s leading insurance companies, and we need your help to provide production support for our SaaS products. Sureify’s success depends on our ability to provide world-class support to our customers and to make sure they are receiving tremendous, continuous, and progressive value from the products. We are looking for a seasoned software engineer with Full Stack Web dev/support experience. Your primary responsibility will be to provide application support of Sureify SaaS products. You will play the role of an expert in Sureify SaaS products and technologies in troubleshooting production issues and also provide timely and effective communication to customers. Responsibilities: Develop and maintain deep expertise in Sureify SaaS products. Troubleshoot and resolve incoming support cases. This includes identifying root causes of issues, providing workarounds or solutions, and collaborating with other teams to resolve complex prob

About the Team At DoorDash, people are our most important asset. The People Technology Team helps to deliver and facilitate strategic technology projects within the People Team. This role will be focused on supporting our People Technology function as we continue to optimize the advancement of our organization. We’re looking for Sr. Business System Analyst, Compensation to help us scale Wolt + DoorDash’s enormous growth. Come help shape a best in class People Technology team! About the Role Based in India, we are looking for a Sr. Business System Analyst, Compensation with demonstrated HRIS ownership to assist with strategic initiatives across our organization. Experience with Workday is preferable for this role. You will work cross-functionally to achieve business goals through system configuration, testing and documentation. As a Sr. Business System Analyst, Compensation you will help deliver solutions to support business strategy, and assist in the implementation, maintenance and enhancement of people technology systems. You're excited about this opportunity because... Configure and maintain Workday Compensation module elements, including compensation packages, grades, grade profiles, matrices, eligibility rules, and compensation review/merit cycles Partner with Total Rewards to translate compensation strategy (base pay, bonus, equity, allowances) into scalable Workday configuration Lead annual and off-cycle compensation events (merit, bonus, and stock cycles) end-to-end, including planning, testing, mass data loads via Enterprise Interface Builder (EIB), and validation Build and maintain compensation grades, guidelines, and eligibility rules to support pay equity and market-competitive pay decisions Partner with Payroll and Finance to ensure accurate downstream processing of compensation changes Provide global production analysis and support (break/fix analysis, reporting, business process administration, etc.) for Compensation Troubleshoot and resolve com

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

Role Summary Scale builds AI applications for organizations where reliability, security, and measurable results matter. Our core platform, SGP, gives teams the capabilities to build, deploy, evaluate, and operate those applications in customer environments. We're looking for a product leader to own the strategy and roadmap for SGP's core platform and lead the PM team responsible for it. You will work with customers, platform engineering, and forward deployed teams to build capabilities customers need, productize work developed in the field when it has broader value, and improve how teams build, deploy, and operate AI applications. This is a hands-on leadership role. You will connect work across teams into a coherent product, make difficult scope and investment decisions, and stay close enough to the details to know whether what we ship works for the people using it. What you'll do Own the platform strategy and roadmap. Prioritize across developer experience, capabilities customers need, and productizing work built in the field where it has broader value. Sequence investments against customer value, commitments, and dependencies. Define how the product should work. Work with users and engineers to write clear requirements and vibe code prototypes, user journeys, and measure success through customer outcomes, capability adoption, delivery time, and production performance, and follow through on gaps after launch. Align teams across the business. Work with platform engineering, forward deployed PMs, and business leaders to agree on shared capabilities, rollout priorities, and necessary differences across environments. Make clear what is available, where it works, and what remains to be delivered. Build and lead a strong PM team. Establish clear ownership across related product areas, hire and coach PMs, and raise the quality of product thinking and written requirements. Stay directly involved in the most consequential decisions. What we're looking for A track record of

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

Principal Consultant – Semantic Data & AI Engineering Capco | Data & Analytics | New York, NY About the Role Capco is seeking a hands-on Principal Consultant to design and build semantic data solutions that make enterprise data usable by artificial intelligence, machine learning, analytics, and business applications. This role is designed for a versatile technical leader who can move across knowledge-graph engineering, AI solution development, data modeling, and data-pipeline delivery. The successful candidate will help clients connect structured and unstructured information, create machine-understandable representations of business knowledge, and provide trusted context for AI applications. You will work across multiple project roles depending on client needs—serving as a semantic architect, knowledge-graph engineer, AI engineer, data engineer, technical lead, or client advisor. This is not a research-only or ontology-only position. The role requires someone who can translate business requirements into practical solutions and contribute directly to architecture, code, data pipelines, testing, and production delivery. What You’ll Do Design and implement enterprise knowledge graphs, semantic layers, ontologies, taxonomies, and graph-based data products. Translate business concepts, policies, documents, data models, and subject-matter expertise into governed, machine-readable knowledge models. Build semantic data pipelines that acquire, transform, map, validate, enrich, and load data from databases, APIs, files, documents, events, and cloud platforms. Integrate knowledge graphs with AI and machine-learning solutions, including generative AI, retrieval-augmented generation, GraphRAG, semantic search, and intelligent agents. Support NLP and document-intelligence use cases such as entity extraction, entity linking, relationship extraction, classification, natural language inference, and knowledge extraction. Combine graph traversal, vector search, metadata, rules

The Role As a Senior Application Security Engineer, you will provide hands-on technical delivery for the migration of Web Application Firewall (WAF) capabilities to Cloudflare and/or Akamai. You will work closely with architecture, security, network, and application teams to execute migration waves, onboard applications, implement security policies, and support successful cutovers. You will play a key role in validating functionality, security, and performance, resolving technical issues, and supporting post-migration stabilization across complex enterprise environments. What You’ll Do Deliver end-to-end WAF migrations to Cloudflare and/or Akamai, including configuration, application onboarding, and deployment. Implement and tune WAF security policies, rules, and controls in line with application and security requirements. Execute DNS and traffic-routing changes and support integrations required for successful application migration. Perform testing, troubleshooting, and validation to confirm functionality, security, and performance throughout migration waves. Partner with architecture, security, network, and application teams to support cutover activities, resolve technical issues, and stabilize services following migration. What We’re Looking For 10+ years of relevant experience in network security, application security, infrastructure engineering, or related technical roles, with substantial hands-on WAF experience. Strong hands-on experience configuring, migrating, and supporting enterprise WAF technologies, ideally Cloudflare and/or Akamai. Practical knowledge of DNS, HTTP/HTTPS, TLS, traffic routing, application delivery, and web security concepts. Experience implementing and tuning WAF policies and security rules, troubleshooting application traffic, and resolving migration or production issues. Demonstrated experience working collaboratively with architecture, security, network, and application teams to deliver complex technical changes. Bonus Points For Expe

About the Team DoorDash's mission is to grow and empower local economies. By building intelligent, last-mile delivery technology for local cities, DoorDash connects people with the local businesses they care about — helping grow businesses and the communities that support those businesses. To further this mission, DoorDash is growing our award-winning Creative Studio, Superette. We’re populated by diverse, eclectic talent that inspires and creates. We take risks, challenge each other, and inspire new ways of thinking. We're here to create pivotal work that we, our partners, and the entire DoorDash community can be immensely proud of. We’re here to do the best work of our lives. About the Role We’re looking for a Sr. Designer to help build and champion a new growth function within Superette, the Creative Studio at DoorDash. You will oversee the development of world-class design that drives conversion for the business across various channels and elevates our established Design Language System. You’ll report into the Head of Design of the Superette team within our Marketing organization. You’re excited about this opportunity because you will… Drive creative for Canada, partnering closely with Growth and Co-Marketing to accelerate testing velocity and turn insight into high-performing assets that support acquisition efficiency and sustained growth. Design and iterate performance creative across channels (email, display, social media, paid search, in-app, etc.), contributing to Canada's refresh cadence. Design for A/B testing environments to optimize creative assets for maximum engagement and conversion rates. Contribute to repeatable systems and modular asset frameworks that increase output without adding production drag — enabling faster cycles and smarter experimentation across the Canada market. Translate data insights and user feedback into actionable design strategies to enhance user engagement. Work closely with product, marketing, and brand teams to ensure

About the Team DoorDash’s centralized, global TPM organization helps Engineering deliver the company’s most complex and consequential technical, product, and business transformations. The team spans DoorDash, Wolt, and Deliveroo and partners across a global Engineering organization of approximately 4,000 engineers. We have intentionally built a lean, high-leverage TPM organization with a high bar for technical depth, business judgment, and independent domain ownership. Our leaders stay close to the business and technical work, lead through strong senior IC TPMs, and shape the operating mechanisms that allow complex organizations to execute at speed. This Director will lead 12 TPMs (one-quarter of the global TPM organization) and report directly to the VP of Engineering Operations. Their team supports nearly 1,300 engineers across five strategically important organizations: Dasher & Logistics, Ads & Promotions, Merchant, DashOS, and Platform Services. About the Role As Director of Technical Program Management, you will lead a high-performing team of TPMs embedded across some of DoorDash’s most important and technically complex businesses. Your portfolio spans the real-time fulfillment network that powers every delivery, a multi-billion dollar ads revenue platform, DoorDash’s merchant ecosystem and in-store technology, and platforms that enable merchants and other businesses to access our logistics network through offerings such as Drive and Parcels. You will partner closely with a VP and four Senior Directors to set direction, strengthen execution, develop TPM talent, and solve the cross-organizational challenges that sit between teams, systems, and business priorities. You will also play a central role in Pedregal, DoorDash’s multi-year global platform re-architecture across DoorDash, Wolt, and Deliveroo while maintaining production availability and continuing to build for each business’ evolving requirements. We believe the future of TPM leadership is defin

About the Role DoorDash is building an AI Research org from the ground up, and we're hiring our founding researchers. This is not a role inside an existing team — it's a role that defines what the team becomes. You'll have an outsized influence on the research agenda, hiring, culture, infrastructure choices, and how research connects to the rest of DoorDash. DoorDash sits on a uniquely valuable substrate for AI research: a real-world, multi-sided marketplace operating at massive scale, with millions of consumers, merchants, and Dashers generating data that no academic lab and few companies can access. We want to build a research org that takes that seriously — one that produces work the broader field cares about, and that fundamentally reshapes how local commerce works. You should apply if you want to do ambitious, publishable research in an environment with the data, compute, and operational reach to actually deploy what you build. What You'll Do Set the research agenda for one or more areas of DoorDash AI Research, in close collaboration with the founding team and leadership Lead high-impact research projects end-to-end — from problem framing through publication and, where appropriate, production deployment Help build the team — interview, recruit, and mentor researchers, engineers, and fellows joining the org Shape the org's culture and operating model — how we publish, how we collaborate with product teams, how we balance open research with proprietary work Partner across DoorDash with ML platform, product, and operations teams to identify the highest-leverage research bets and translate findings into real-world impact What You'll Have Access To Novel proprietary data at marketplace scale — logistics traces, merchant operations, consumer behavior, real-time supply and demand signals, and longitudinal data unavailable anywhere else Scalable data collection — ability to design and run structured data collection, leveraging DoorDash’s world-class operational scale,

About the Team The Ads & Promos Delivery team powers the last-mile delivery of ads and promotions, two marketing products offered to merchants, connecting merchant intent with consumer demand across search and discovery experiences. As a Principal Engineer, you will lead the technical direction for AI-first experiences, including ranking and relevance systems that sit at the core of our ads marketplace and shape how ads are selected, ordered, and personalized in real time across all verticals. You will design and build next-generation AI-first ranking systems using state-of-the-art techniques such as sequence modeling, deep learning, and large language models (LLMs). Your work will span query understanding, user and merchant representation learning, contextual relevance, and multi-objective optimization, balancing advertiser value, consumer experience, and marketplace health at scale. You will set the long-term technical vision, drive cross-team alignment, and translate cutting-edge research into production systems that operate under strict latency, scale, and reliability constraints. As DoorDash expands into 40+ global markets and new verticals such as Grocery and Retail, this role offers a rare opportunity to define how modern AI, including sequential models and LLM-powered decisioning, reshapes ads relevance in a closed-loop marketplace. About the Role Apply state-of-the-art machine learning and LLM techniques to problems across personalization, query understanding, user and content understanding. Rigorously evaluate ML and LLM models using a combination of offline analysis and online experimentation, designing metrics and experiments that clearly measure quality, impact, and tradeoffs. Own the full model lifecycle from research to production, including data analysis, model development, evaluation, offline and online A/B testing, and continuous iteration. Partner closely with product managers, data scientists, and designers to ensure AI-driven systems deliver

About the Team The Ads & Promos Delivery team powers the last-mile delivery of ads and promotions, two marketing products offered to merchants, connecting merchant intent with consumer demand across search and discovery experiences. As a Senior Staff Engineer, you will lead the technical direction for AI-first experiences, including ranking and relevance systems that sit at the core of our ads marketplace and shape how ads are selected, ordered, and personalized in real time across all verticals. You will design and build next-generation AI-first ranking systems using state-of-the-art techniques such as sequence modeling, deep learning, and large language models (LLMs). Your work will span query understanding, user and merchant representation learning, contextual relevance, and multi-objective optimization, balancing advertiser value, consumer experience, and marketplace health at scale. You will set the long-term technical vision, drive cross-team alignment, and translate cutting-edge research into production systems that operate under strict latency, scale, and reliability constraints. As DoorDash expands into 40+ global markets and new verticals such as Grocery and Retail, this role offers a rare opportunity to define how modern AI, including sequential models and LLM-powered decisioning, reshapes ads relevance in a closed-loop marketplace. About the Role Apply state-of-the-art machine learning and LLM techniques to problems across personalization, query understanding, user and content understanding. Rigorously evaluate ML and LLM models using a combination of offline analysis and online experimentation, designing metrics and experiments that clearly measure quality, impact, and tradeoffs. Own the full model lifecycle from research to production, including data analysis, model development, evaluation, offline and online A/B testing, and continuous iteration. Partner closely with product managers, data scientists, and designers to ensure AI-driven systems deli

About the Team DoorDash, Deliveroo, and Wolt are one global team building the future of local commerce. Our products power millions of interactions between consumers, merchants, and couriers every day, in cities around the world. Together, we’re combining global scale with deep local understanding to deliver what’s next. At DoorDash, you may collaborate with teammates, systems, and leaders across all three brands. We’re looking for students completing a bachelor’s or master’s degree to begin their engineering careers with DoorDash. You’ll help build and operate reliable, scalable technology that improves the experiences of consumers, merchants, and delivery partners across our global platform. Our Engineering team tackles complex technical challenges across a global, three-sided marketplace - from creating intuitive product experiences to designing the infrastructure and backend systems that help local commerce thrive. You’re excited about this opportunity because you will… You’ll work alongside a mentor, manager, and experienced engineers while contributing to real products and systems. As you build your technical knowledge, you’ll take on increasing ownership and see how your work affects the people and businesses using our platform. Here’s what your day-to-day might look like: Develop, maintain, and ship production-ready software with support from your mentor and team Write clean, testable code and contribute to code reviews, version control, and engineering best practices Learn the systems and technical areas your work contributes to, including how they operate at scale Apply feedback and coaching to strengthen your technical skills and problem-solving approach Collaborate with engineers and cross-functional partners to solve problems for consumers, merchants, and delivery partners We’re excited about you because you have… A bachelor’s or master’s degree in Computer Science or a related discipline, graduating between Fall 2026 and Summer 2027 At

About the Team DoorDash Labs is an independent team within DoorDash. We are working on building autonomous delivery robots from the ground-up and other automation solutions as part of DoorDash's core delivery platform. If you have a passion for applying AI and robotics solutions in a service used by millions of people, then we want to talk to you! About the Role As the Hardware TPM at DoorDash Labs you will play a central role within the robotics hardware team and across all of DoorDash Labs as we improve last-mile deliveries using autonomy. You will report to the Lead of our Technical Program Management team. This role requires onsite presence in one of our two HW Labs in either San Francisco or Oakland minimum two days per week. You're excited about this opportunity because you will… Be part of an exciting effort to develop and manufacture an autonomous delivery robot Work with our robotics hardware, software, autonomy and operations teams on a daily basis to solve challenging technical autonomous vehicle problems Program manage and help lead development, testing, validation and manufacturing of our current and next generation mechanical, electrical and electronic robotics hardware Take hardware projects from product requirements or engineering concept to public roads driving Work with leaders and engineers across Hardware, Software, Firmware, Controls, Autonomy and Ops to plan, track, follow up and resolve issues Leverage your expertise not only in hardware but software and firmware integration as well Manage vendor relationships domestically and internationally, both for prototyping and mass production. We're excited about you because… B.S., M.S., or PhD. in engineering, e.g. robotics, mechanical, electrical or computer science 8+ years of industry experience working in engineering and program management Experience with software and hardware development processes Experience taking hardware from product requirements to mass production overseas,