Production Supervisor Jobs

Req ID: FEQ327R425 Location: Tokyo, Japan Language Requirements: Fluent Japanese required; Business-level English preferred As a Specialist Solutions Architect (SSA), you will guide customers in building big data solutions on Databricks that span a large variety of use cases. These are customer-facing roles, working with and supporting the Solution Architects, requiring hands-on production experience with cloud infrastructure and big data technologies. SSAs help customers through the design and successful implementation of essential workloads while aligning their technical roadmap for expanding the usage of the Databricks Data Intelligence Platform. As a deep go-to-expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs to continuously consolidate the skills in your area of speciality. The impact you will have: Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural and security design to development and deployment best practices including automation Architect production-level workloads, including end-to-end pipeline load performance testing and optimisation Provide technical expertise in cloud infrastructure and security relating to our Databricks Intelligence Platform Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, workload sizing, and custom architectures Improve community adoption (through tutorials, training, hackathons, conference presentations) Contribute to the Databricks Community and act as a technical SME. What we look for: Pre-sales or post-sales experience working with external clients across a variety of industry markets Experience as a Data Platform engineer designing, setting up, and maintaining production-grade big data systems (Spark) Experience designing cloud i

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. We are the Fraud Data team within Plaid's Fraud organization. We leverage relationships and activity across Plaid’s network to develop machine learning models that help customers detect and prevent fraud while minimizing friction for legitimate users. Our team owns the full model lifecycle, from data processing and experimentation to feature pipelines, model serving, and monitoring. In this research role, you’ll partner closely with Machine Learning Engineers and Data Scientists to uncover new signals, explore and evaluate innovative modeling approaches, and translate promising research into production-ready solutions that strengthen fraud detection across Plaid’s network. As a Senior Research Scientist, you will lead applied research to develop next-generation fraud detection models across relational graphs, sequential events, images, and video data. You’ll design rigorous experiments and evaluation methodologies that reflect real-world fraud dynamics, while exploring state-of-the-art approaches such as Graph Neural Networks and Transformer-based foundation models. In close partnership with Machine Learning Engineers, you’ll translate promising research into production-ready solu

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. The Fraud Data team at Plaid builds the machine learning systems that power Plaid’s fraud detection products, leveraging insights from across Plaid’s network to help identify and stop fraud before it happens. Our team works across the full data science and machine learning lifecycle—from discovering new signals and experimenting with models to deploying and optimizing them in production. We continuously learn from real-world model performance and customer feedback to improve our systems and develop new ways to protect customers and consumers from evolving fraud threats. As a Senior Machine Learning Engineer on Plaid's Fraud Data team, you will develop models that improve fraud detection for our customers. You will identify predictive patterns in Plaid's network data and lead projects from initial experiments through model deployment and ongoing improvement. Investigate fraud patterns and model errors to identify new signals, improve detection, and expand coverage across customers and use cases. Develop training datasets and predictive features, addressing challenges such as incomplete labels, class imbalance, data leakage, and changing fraud behavior. Design, train, and tune model

About the Team The Cooperative AI team is scaling OpenAI with OpenAI. We are building a model-powered scaled automated workforce and knowledge system that evolves and learns alongside a human workforce. By leveraging OpenAI’s state-of-the-art models and technologies, some already in production, others still in the lab, we develop systems that reason and work autonomously for a wide variety of operational work. We leverage real workloads for critical systems across finance, sales, customer support, integrity, product insights, internal operations, and more in order to drive insights into product and industry. We partner closely with internal teams and external customers globally, operating in a hyper-fast feedback loop where many of our users are just a few steps away. This proximity allows us to iterate quickly, validate impact in real time, and accelerate industry impacting learnings and systems builds. We are a highly multidisciplinary, self-contained team focused on transforming the workplace via smart systems, knowledge, scalable and reliable primitives that apply world-class AI capabilities across domains. Our mission is to learn fast and transform how humans collaborate with AI at scale. About the Role We are looking for a hands-on Engineering Manager to lead a small, fast-moving team building AI-powered automation systems that redefine how work gets done across OpenAI. This role sits at the intersection of applied AI, research, and product engineering. You’ll lead a team that builds systems that know how to learn from humans, and carry real workloads across, sales, support, finance, IT, and more, while staying deeply involved in the technical work. You will operate in a highly iterative environment, deploying systems directly to internal users, gathering rapid feedback, and evolving solutions in real time. This is a high-ownership role for someone excited about building 0→1 systems, working closely with customers, and shaping how AI transforms operational wor

CSQ427R351 At Databricks, we aim to empower our customers to solve the world's most challenging problems using the Data + AI Platform while putting trusted data and AI in the hands of every business user. As a Senior Scale Solution Engineer, you are a technical anchor for our scaled customer motion, advising customers across many stages of their lifecycle: from pre-sales evaluation through onboarding and into production. You independently take on complex engagements and build and improve AI-augmented workflows that enable the whole team to deliver high-quality guidance at scale. The impact you will have: You will ensure customers have an excellent experience by independently owning engagements across their lifecycle. You will be the go-to expert on the Databricks Data + AI Platform, owning technical direction and building reusable AI-augmented workflows. You will work directly with multiple customers concurrently and set the quality bar for the team. What we look for: Excellent communication and interpersonal skills, with the ability to assess customer needs, foster relationships, address objections, and effectively showcase the value of the Databricks platform. Undergraduate degree or higher in Computer Science, Information Systems, or similar relevant experience. 4+ years of experience in a technical role, preferably in the Data, AI, or Cloud field. Deep knowledge of at least one of the following cloud platforms, AWS, Azure, or GCP; familiarity with more than one is a plus. Knowledge of AI-driven development with programming languages like Python or SQL, including building and extending AI-augmented workflows. Understanding of the end-to-end data analytics and data engineering workflow, and their trade-offs. Excellent time management and prioritization skills. Bonus: Experience building AI tooling and automation, consulting or pre-sales, or with agentic solutions. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — in

CSQ327R201 At Databricks, we aim to empower our customers to solve the world's most challenging problems using the Data + AI Platform while putting trusted data and AI in the hands of every business user. As a Scale Solution Engineer, you play a critical role in advising customers across many stages of their lifecycle: from pre-sales evaluation through onboarding and into production, by building and working with AI-augmented workflows that enable one engineer to deliver quality guidance at scale. The impact you will have: You will ensure customers have an excellent experience by providing technical assistance across their lifecycle. You will become an expert on the Databricks Data + AI Platform and guide customers in making the best technical decisions through AI-augmented workflows. You will work directly with multiple customers concurrently to provide technical solutions. What we look for: Excellent communication and interpersonal skills, with the ability to assess customer needs, foster relationships, address objections, and effectively showcase the value of the Databricks Data + AI Platform. Undergraduate degree or higher in Computer Science, Information Systems, or similar relevant experience. 1+ years of experience in a technical role, preferably in the Data, AI, or Cloud field. Knowledge of at least one of the following cloud platforms, AWS, Azure, or GCP, is required. Knowledge of AI-driven development with programming languages like Python or SQL. Understanding of the end-to-end data analytics and data engineering workflow. Excellent time management and prioritization skills. Bonus: Experience in consulting or pre-sales roles, or with agentic solutions. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquar

As a Product Manager - Code Intelligence , you will define, build, and launch capabilities that proactively detect infrastructure issues in code (e.g. Terraform, Helm) and recommend changes before they can be deployed into production and escalate into production incidents. The Infrastructure Monitoring team has pioneered shift-left detection in the industry with Bits Infrastructure Operations , and we’re looking for a Product Manager to expand this capability to a broader set of use cases. Customers (and thus developers) are increasingly standardizing on IaC tools to deploy and maintain ever-growing infrastructure in the cloud. At the same time, SREs and Infra teams struggle with an increasing number of production incidents. By shifting-left and building agentic capabilities in the dev workflow, we can identify high-impact infra changes before they are deployed, help reduce production incidents, reduce waste, and free up SRE time to focus on value-added tasks. You will own the roadmap to expand these agentic capabilities to a broader set of use cases, including cost detection, blast radius impact, as well as configuration changes on infrastructure powering applications like nginx, postgres and more. You’ll partner closely with Engineering, Design, and customers to build and iterate on the roadmap, build product market fit, drive customer adoption (including internal usage), and focus on coverage and correctness of the AI system. This is an opportunity to lead an initiative at the intersection of AI, infrastructure operations, and autonomous observability. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Lead the product roadmap for Code Intelligence, enabling customers to proactively detect high-impact infrastructure and configuration changes and re

The following description is not intended as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. Management retains the discretion of adding or changing the duties of the position at any time. The following description is not intended as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. Management retains the discretion of adding or changing the duties of the position at any time. SUMMARY The Quality Inspector’s basic functions revolve around the overall goal of preventing and/or correcting any quality problems as early in the production process as possible and to minimize the quantity of parts leaving our facility that do not meet our quality standards. Quality Inspector conducts quality checks, paperwork evaluation, and studies necessary to successfully carry out his/her duties. The Quality Inspector is to make recommendations for improvements to departments or processes that will result in eliminating the root cause of any quality issues. JOB DESCRIPTION Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Inspection during the manufacturing process, monitoring the production quality and ensure that each bus is built properly according to specifications. Responsible for examining materials for quality and identifying defects. Ensures that people, equipment, and materials are used properly to maximize productivity. Check parts, assemblies, and manufacturing processes on Bus against the specifications on the drawing to ensure they meet designated specifications. Documenting all problems/errors found in drawings, bills of materials, jigs, equipment, processes, etc. and reporting these to the appropriate department for correction. Maintaining this documented list and following up on open items until they are fixed and can be closed. Ensure quality of manufactured product. Examine materials from suppliers be

About the Team DoorDash Labs, established in 2018, serves as the innovation hub for DoorDash, focusing on developing automation and robotics solutions to enhance last-mile logistics. The team's mission is to create technologies that support and augment human networks, aiming to improve efficiency for Dashers, merchants, and consumers alike. We’re ruthlessly focused on business impact. We are a highly senior team composed of former pioneers from a variety of different robotics industries. As of 2025, DoorDash has completed 10B lifetime deliveries. We’re focused on how to do the next 10B even better About the Role As a Hardware Engineer, Electronics Packaging & Vehicle Integration, you will lead the mechanical architecture, design, and delivery of electromechanical systems for DoorDash’s next-generation autonomous delivery vehicle. You will develop robust packaging solutions for compute, electrical, communications, and sensor-related hardware that operate reliably in demanding real-world fleet environments. This role sits at the intersection of mechanical engineering, vehicle integration, and product reliability. You will partner closely with electrical engineering, PCB design, industrial design, systems engineering, manufacturing, supplier partners, reliability, and operations teams to turn system requirements into durable, manufacturable, serviceable, and cost-effective product designs. You will own designs from concept through launch, including electronic enclosures, housings, mounting systems, seals, connector interfaces, and vehicle-level integration features. Success in this role requires strong mechanical design judgment, practical experience with production processes, and the ability to resolve cross-functional packaging tradeoffs. Responsibilities: Own the mechanical design and release of electronic packaging, housings, enclosures, and vehicle integration solutions in support of program timing and product launch. Design components

We’re looking for a Senior Cinematographer to define how Perplexity looks on film. Working with the Creative Director and Video Lead, you’ll translate our visual identity into a practical cinematographic language, then bring it to life across the team’s day-to-day output. This is a hands-on role. One day you’re shooting a candid office moment or executive interview with a small kit; the next, you’re leading a full camera and lighting crew on a brand film. Most of your time goes to prepping, testing, lighting, and shooting. You’ll also help build and run our in-house studio, from selecting gear and designing flexible lighting setups to keeping the space production-ready. When turnaround is tight, you’ll support media management and light editing. You’ll report to the Video Lead and work closely with the Video Producer, Brand Lead, designers, motion designers, Growth, Comms, Product Marketing, and external production partners. The Producer and Video Lead handle crewing, budgets, schedules, and logistics so you can stay focused on production and craft. However, you should think like a storyteller, not just a technician, bringing your own ideas for how to show our product and people more vividly through moodboards, shot lists, storyboards, and a willingness to experiment. What You'll Do Partner with the Creative Director and Video Lead to define and evolve Perplexity’s cinematographic language, and turn it into repeatable approaches for lighting, lensing, composition, movement, and color. Shoot and light a steady mix of day-to-day content: candid office moments, executive interviews, product demos, social, events, and documentary stories. Lead cinematography on brand films, campaigns, partnerships, and launches. Scale to the work: operate solo with a minimal kit, lead a small crew, or help build a full camera, lighting, grip, team (with help from producers). Bring storytelling ideas to the table through moodboards, shot lists, storyboards, and experimentation. Own camer

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Our Infrastructure team is passionate about building software to solve problems at massive scale. We do this often, and when we believe our solution is worth sharing with the community, such as Envoy Proxy , we open source our ideas for the benefit of others. As a Infrastructure Engineer at Lyft, you will run our Production Infrastructure by monitoring system availability and take a holistic view of our platform health. You will build software and platforms to automate infrastructure platform operations and management. By measuring and monitoring our operations you will seek opportunities to optimize our systems in order to push our platform forward, anticipating our customers' needs in order to continually improve the platform. You will provide Lyft partner teams with operational support to help them build robust large scale distributed systems. About the Team Data Pipelines is at the heart of all critical data flowing through Lyft supporting hundreds of services that impact millions of drivers and passengers every day. Our team’s mission is to empower Lyft engineers to self-serve in building and maintaining data pipelines as needed to support products that deliver the world’s best transportation experience. We leverage a variety of technologies to store, stream and manage data making it available to our internal customers. Responsibilities: Maintain and analyze metrics from; operating systems; control planes; and applications to assist in fault detection and performance enhancement Design, develop and deploy tooling and systems that continually improve the reliability, scalability and efficiency of our platform Balance feature development speed and reliability with service-level objectives Operate and improve our Infrastructure using industry best practices and tools Participate in design and

About the role: We are looking for a full-stack UX Designer to help shape customer experiences across our digital health and ecommerce platforms. Reporting to the Director of User and Experience Design, you will own the design process end to end — research, UX design, design systems, and UI — shaping how customers discover, engage with, and trust our digital products. In a single week you might move between user interviews, flows, component specs, and polished production screens. This is a hands-on IC role for someone who loves the craft and the pace. We move fast. Priorities shift. Context switching is part of the job. We want a scrappy mindset, strong judgment, and the sense to know when to push for perfect and when to ship, learn, and iterate . Key responsibilities: End-to-end design execution: Own the design process from research and discovery through wireframing, prototyping, and high-fidelity UI. Customer experience design: Design and optimize experiences for ecommerce customers and internal users across CMS, MarTech, and operational platforms. Build intuitive, consistent, scalable interfaces that support seamless workflows and a cohesive brand. UX research and testing: Plan and run user research, including interviews and usability testing. Turn customer pain points and behaviors into insights and design decisions. Design systems and components: Contribute components, patterns, and tokens that scale cleanly between design and development. User acceptance testing (UAT): Partner with stakeholders to validate designs through structured UAT, keeping work aligned with customer needs and business goals. Collaboration and communication: Work closely with product managers, engineers, and cross-functional partners. Communicate design decisions clearly and advocate for the customer without slowing the team down. Brand consistency: Maintain b

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 Deployment Manager on the Beneficial Deployments team, you will guide customers from a signed contract into a live, governed, and adopted deployment so that customers achieve tangible impact rather than simply incremental improvement with Claude. You'll guide organizations from contract signature to production deployment across Claude for Enterprise, Claude Code, and our API products, fundamentally changing how they work and deliver on their missions. You'll be the technical hands that switch Claude on. Before any organization can drive adoption, before any champion can ship their first workflow, someone has to connect Claude to the customer's identity provider, get the right people provisioned into the right workspaces, and walk their CISO through how it all comes together. That's your work. You turn "we've signed the contract" into "our employees can log in, with the right access, under the right policies, the way our security team expects." This is a high-leverage role where you'll pioneer scalable activation methodologies that enable hundreds of nonprofit customers to unlock transformative use cases and realize measurable outcomes at unprecedented speed. You won't just follow playbooks. You'll design the frameworks and repeatable processes that can be deployed consistently across diverse customer environments, and you'll shape them into programs that reach customers we could never serve one at a time. You'll operate at the intersection of technical deployment, enablement, and program design. Some days you'll be in the weeds with a customer's IT team debugging a SAML assertion; other days you'll be stepping back

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Location: Hybrid (3 days) in Dublin, CA preferred; Menlo Park, CA also considered About the team Enterprise Apps & Agentic Systems is applying that standard internally. We partner directly with business teams to redesign high-value domains from first principles and turn them into software-defined, AI-native products. We are customer zero for Snowflake technology: we build first-of-a-kind solutions for our own teams, prove their value in production, and bring the learnings to our customers. We are hiring a Staff Product Manager to lead products that make our Finance, People, Legal, and other enterprise domains AI-Native. This is not an application management role. You will own the product problem from discovery through value realization. You will identify where work should be eliminated, redesigned, automated, or delegated to software; define the product strategy; align the business and technology teams; and lead the delivery of products that people choose to use. What you will do Set product direction. Develop a clear product vision, strategy, roadmap, and narrative for a meaningful business problem. Define the outcomes that matter, the choices required to achieve them, and the principles that guide trade-offs. Partner directly with the business. Work side by side with

Xendit is the financial technology platform built for businesses that move fast. We give companies one unified platform for payment acceptance, payouts, treasury and financial services, replacing fragmented local integrations with a single infrastructure layer. We serve businesses of every size, from high-growth startups to global enterprises, processing high-volume transactions across Southeast Asia and beyond, with more markets on our global expansion roadmap. Why this role exists For a payment-infrastructure company, the product is in large part the API. Developers are both the buyers and the daily users, and the quality of the APIs, SDKs, docs, sandbox, and integration path is the product's real surface. This role owns the developer's journey from first API call to production and scale, the difference between a developer who integrates in an afternoon and one who gives up before their first successful transaction. What you'll own The roadmap for the developer experience: integration flow, SDKs, documentation, sandbox, error handling, and time-to-first-successful-call. Developer activation and retention as headline metrics, from sign-up to first production transaction and beyond. Discovery grounded in developer behavior: integration analytics, support and community signals, and direct developer research. Partnership with Engineering on API design and DX standards, and prioritization of DX debt against new capabilities. Clear communication of trade-offs to senior stakeholders, and translation of platform changes into a coherent developer-facing experience. How you will work You report to the Product Design & UX Director for Customer Lifecycle and work most closely with Engineering, whose API and platform decisions shape the experience you own. Part of your early work is helping define where developer-experience ownership sits, since this surface has not had a dedicated product owner before. You are the strategic owner of the developer journey from first API ca