MKTQ327R30 Databricks is hiring an experienced web leader to grow and scale the function globally, as the company continues its hyper-growth and leadership in the Data and AI space. You will be an essential member of the marketing leadership team, drawing on all of our internal resources to bring our marketing strategy to our digital audiences — and increasingly to a new kind of audience: the AI agents and assistants that now read, interpret, and act on the web on behalf of the people we're trying to reach. You will ultimately be measured on your ability to develop a cohesive portfolio of web properties built for scale, personalization, and this next era of how people and machines discover and evaluate companies. Reporting to the VP of Marketing, you will build and oversee a product team focused on executing and iterating on marketing priorities. The ideal candidate has held a senior digital leadership role in a high-performing marketing organization at a company experiencing rapid growth. You have operated at scale in a global environment while maintaining a solution-oriented mindset and approach. You have excellent fundamentals, strong presence, and the ability to build a strong team. Just as important, you have a point of view on where the web is going, and know how to build for AI-driven search, answer engines, and autonomous agents. The impact you will have: Transform Databricks' web properties into outstanding destinations using a modern development approach and current technologies, built to serve both human visitors and the AI agents and assistants that now consume and act on web content. Put AI to work inside the function, using it to automate and accelerate web production, QA, localization, testing, and routine optimization so the team spends its time on strategy and craft rather than repetitive execution. Establish a strategy for how Databricks evolves and scales its web presence with the business across segments, products, industries, partners, and
Jobiba hiring network
Production Scheduler Enhancement Engineer Jobs
8,499 active opportunities · Updated for October 2026
Fresh results
15 shown
Explore current production scheduler enhancement engineer jobs. Use filters to narrow by work mode, employment type, experience and date posted.
About the Team OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. The Payments team works across product, engineering, design, and finance to build the financial infrastructure that makes OpenAI’s products accessible to consumers and enterprises around the world. As AI introduces new ways for people and organizations to work, the team is defining how to support and monetize emerging forms of product usage, from usage-based pricing to agentic work. We’re building the foundational systems that help OpenAI products deliver clear, reliable, and scalable payment experiences while ensuring that this powerful technology is deployed responsibly. About the Role In this role, you’ll lead design for one of OpenAI’s most foundational product areas: the payments and monetization infrastructure that supports our consumer and enterprise products. You’ll partner closely with product, engineering, and cross-functional teams to shape how customers understand, manage, and pay for entirely new kinds of AI usage. Your work will extend beyond traditional checkout and billing. You’ll help define the systems, frameworks, and experiences behind durable pay-as-you-go models, Codex usage, and agentic workflows, translating complex business and technical requirements into intuitive experiences. As a product designer in a highly ambiguous and rapidly evolving space, you’ll influence both product strategy and the underlying infrastructure that OpenAI products depend on. This role is based in our San Francisco HQ. We offer relocation assistance to new employees. In this role, you will: Lead the design direction for foundational payments, billing, and monetization experiences across OpenAI’s consumer and enterprise products. Design and ship high-quality, end-to-end product experiences, from early systems and interaction concepts to high-fidelity prototypes and production-ready designs. Shape the infrastructure and product frameworks that support em
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
ETRM Business Analyst – Power Trading Location: Houston, Texas | Practice Area: Business Consulting | Type: Permanent Enable smarter power trading decisions through expert ETRM analysis and consulting The Role As an ETRM Business Analyst within Capco’s Business Consulting practice, you will support power trading clients by translating complex business requirements into effective technology solutions. You will work across stakeholders and delivery teams to support system implementations, process improvements, and transformation initiatives within energy trading environments. What You’ll Do Facilitate client workshops, stakeholder interviews, and structured analysis to gather requirements Develop business requirements, functional specifications, and process documentation Analyze current and future state processes to identify gaps and improvement opportunities Support testing, training, and go-live activities to ensure successful implementation Produce high-quality consulting deliverables including reports, presentations, and proposals What We’re Looking For Experience as a Business Analyst within ETRM and power trading environments Experience with OpenLink implementation, configuration, and extension Strong skills in requirements gathering, process mapping, and stakeholder engagement Ability to translate business needs into functional and technical specifications Bachelor’s degree in a relevant field such as Business, Finance, or Technology Bonus Points For Experience within a management consulting environment Background in energy, utilities, or commodities trading Experience supporting testing cycles, training, and production rollout Familiarity with project delivery methodologies and lifecycle management Basic scripting or technical understanding to support system analysis Why Join Capco Deliver high-impact technology solutions for Tier 1 financial institutions Work in a collaborative, flat, and entrepreneurial consulting culture Access continuous lear
Business Analyst – OpenLink Location: Houston, Texas | Practice Area: Business Consulting | Type: Permanent Deliver impactful energy trading solutions by bridging business needs and OpenLink technology The Role As a Business Analyst within Capco’s Business Consulting practice, you will support clients in the energy sector by translating business requirements into effective OpenLink solutions. You will work closely with stakeholders and technology teams to deliver high-quality consulting outcomes, supporting system implementations and transformation initiatives across trading environments. What You’ll Do Facilitate client workshops, interviews, and analysis to gather and document requirements Develop business requirements, functional specifications, and process documentation Analyze current and future state processes to identify gaps and improvement opportunities Support testing, training, and go-live activities to ensure successful delivery Produce clear consulting deliverables including reports, presentations, and proposals What We’re Looking For Experience as a Business Analyst with OpenLink implementation and configuration Strong skills in requirements gathering, process mapping, and stakeholder engagement Ability to translate business needs into functional and technical specifications Experience supporting testing cycles, user training, and production rollout Bachelor’s degree in a relevant field such as Business, Finance, or Technology Bonus Points For Experience within a management consulting environment Background in energy, utilities, or trading domains Experience contributing to business cases, proposals, or reusable consulting assets Familiarity with project delivery methodologies and lifecycle management Basic scripting or technical understanding to support system analysis Why Join Capco Deliver high-impact technology solutions for Tier 1 financial institutions Work in a collaborative, flat, and entrepreneurial consulting culture Access continuous
Datadog Notebooks provide customers with a collaborative surface for ad-hoc data analysis, technical documentation, incident postmortems and runbooks. The power and flexibility of Notebooks also makes it the perfect place to integrate AI tools that can augment user workflows. Our vision is that in Notebooks users can collaborate with each other and with AI agents seamlessly. We are looking for a product-oriented Senior Software Engineer to help build the AI-assisted workflows that are becoming central to how customers use Notebooks. In this role you will work closely with product and design, and own platforms for analysis workflows and context discovery. There is a real opportunity for impact here: turning Notebooks into the tool that helps customers go from uncertainty to answer, and making that knowledge retrievable and reusable across Datadog products. 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 design and delivery of AI-powered product experiences for Notebooks and adjacent surfaces Develop systems that combine deterministic product capabilities with LLM-powered experiences to deliver trustworthy and explainable customer outcomes Partner closely with Product: Work hand-in-hand with the Product Manager to translate customer problems, adoption signals, and roadmap goals into concrete technical decisions and iterations Build experiences that enable Datadog capabilities to operate within third-party AI platforms, agents, and conversational environments Provide technical leadership and mentorship while helping establish AI engineering best practices Own production systems: Build and operate reliable backend services that run in the critical path of customer deployments, and be on-call for those services Who You Are You have experience with Go,
About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role We’re looking for a Senior Applied Scientist to help drive the future of credit applied science at Ramp. In this role, you will design, build, and optimize the models that power our credit risk systems, helping us make faster, smarter, and more scalable risk decisions for our customers. You’ll work at the intersection of machine learning, statistics, economics, and product strategy. This role requires strong technical depth as well as close collaboration with business, product, data, and engineering partners. You will help identify high-impact opportunities, translate ambiguous business problems into rigorous modeling work, and ship models that operate reliably in production. Applied scientists at Ramp focus on solving quantitative problems across credit, fraud, growth, and our core product by applying the right mix of machine learning, causal inference, structural modeling, and optimization. What You'll Do Design, build, and optimize machine learning models that support credit risk decisioning and portfolio management at Ramp Own the
Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role We are currently seeking a Sr. Software Engineer with an AI background to join our Reference Data team. The reference data team at Addepar is responsible to manage the data reconciliation and curation process for market data providers to build a single source of truth and provide alignment across public and alternative investment data products for the client to manage their investment portfolio. fAs an engineer on the team you will partner with product teams at Addepar to understand their business needs. The team is focused on enabling and building disruptive, innovative solutions to transform the wealth technology landscape with AI across our product suite and is growing quickly. You will be responsible for architecting, leading, and driving the execution of the core AI capabilities that power our platform. This is a high-impact role for an engineer who thrives on the frontier of applied AI and maintains a relentless focus on shipping. You will not just work with LLMs and agentic frameworks; you will own the end-to-end delivery of AI-native products, ensuring that cutting-edge AI systems are hardened into robust, scalable, and high-performance production systems. Applicants must have, and maintain, the right to work in the United King
JOB TITLE Observability Engineer A CAREER WITH POINT72'S TECHNOLOGY TEAM As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications. As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business. WHAT YOU’LL DO Design observability capabilities that give engineering teams clear insight into application health, platform performance, and issues affecting users Build scalable collection pipelines for metrics, logs, and traces across cloud-based and on-premises environments Develop actionable alerting standards that reduce noise, shorten incident response, and highlight the most important signals Partner with application and infrastructure teams to define service health indicators and improve operational readiness before production launches Automate monitoring configuration, dashboard deployment, and reliability checks to support consistent observability across the technology environment Analyze production incidents to identify telemetry gaps and improve detection, diagnosis, and recovery Create dashboards and reporting views that help teams understand trends, capacity risks, and reliability outcomes Establish practical observability
Lithic is the modern card issuing and processing platform empowering ambitious financial companies to build the future of payments. Our infrastructure powers card programs for 100+ innovative clients, from fintechs reimagining credit and digital banking to platforms transforming disbursements and spend management. Companies like Mercury, Flex, and Novo rely on Lithic's developer-friendly APIs, direct network connections, and flawless reconciliation to launch and scale card programs in weeks, not years. We're building a future where access to better financial products materially improves people's lives, free from the constraints of 30-year-old mainframes and legacy processors. We're proud to be backed by world-class investors who share that vision, including Bessemer Venture Partners, Index Ventures, Spark Capital, Stripes, and Mastercard, along with many others. We're a team of 170+ across 26 states and 7 countries, headquartered in New York City. We are hiring a Support Engineer to join our API Support team. This is a hands-on, high-autonomy role. You'll own customer issues end-to-end: triaging incoming tickets, debugging production behavior across our authorizer and API surface, reasoning through configuration and data flow, and driving problems to resolution, often without needing to hand anything off. You'll work across card lifecycle, authorization decisioning, webhooks, account holder KYC, disputes, and the other configurable layers of our platform, using internal tools, Snowflake, Grafana/Loki, and AI-assisted workflows to move fast. When issues reveal deeper product gaps, you'll partner with Engineering and Product to surface patterns and get problems resolved upstream. You will also partner with Solutions and Product Delivery to ensure that we deliver clear, timely, and charming customer communications. Your judgment directly shapes customer trust, product reliability, and our ability to scale the Support function without scaling headcount linea
You love turning real business problems into working AI solutions — and you’re not afraid to roll up your sleeves to ship them. In this role, you’ll lead Diligent’s internal AI Solutions function , a small, high-impact team that is embedding AI and GenA I into the systems thousands of colleagues use every day across Marketing, Sales, Customer Success, Finance, HR, Legal, and Product & Engineering. You’ll set the AI vision and roadmap for internal tools, architect solutions, and still build hands-on — from prototypes and reference implementations through to production-grade integrations . You’ll own how AI shows up inside ERP, CRM, BI and core IT platforms, and you’ll be accountable for making those solutions reliable, secure, compliant, and measurably valuable for the business. If you enjoy being a “player-coach” who can move seamlessly between executive conversations and deep technical reviews, this role gives you the scope, visibility, and impact to shape how a global SaaS leader uses AI to run smarter and faster. Here’s a breakdown of what you’ll do (not all of it, just the important stuff) Lead, coach, and grow a high-performing team of AI Solutions Architects and Engineers, setting clear goals and building the capabilities the business needs as AI demand scales. Define and own the strategy, vision, and roadmap for internal AI solutions, translating business priorities into a focused portfolio of AI and platform initiatives. Design and deliver end-to-end AI/GenAI solutions — from ideation and prototyping through production deployment, monitoring, and continuous improvement. Embed AI capabilities (such as RAG, copilots, agents, summarization, and classification) into core business applications including ERP, CRM, BI, and other enterprise systems in a robust, maintainable way.  
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: As a backend engineer, you’ll design and build scalable, high-performance systems that power subscriptions infrastructure, new monetized products, user growth, and creator monetization. You’ll work on mission-critical infrastructure that processes millions of transactions, optimizes user acquisition and retention, and enables creators to earn a living through their content. This is a unique opportunity to make a large-scale revenue impact while creating products that users and businesses love. RESPONSIBILITIES: Design and build large scale search infrastructure (real-time indexing, serving, and data pipelines) that handles massive write and query loads with strict latency and reliability requirements Go deep into search internals (indexing, query execution, and relevance) and help shape the technical direction of the core search infrastructure Operate production services end to end, including monitoring, debugging, incident response, and performance optimization Lead and drive incident responses and recovery with your peers. Review and contribute to incident postmortems and hold a high bar for the same BASIC QUALIFICATIONS: 5+ years developing large-scale infrast
About Flexport: At Flexport, we believe global trade can move the human race forward. That’s why it’s our mission to make global commerce so easy there will be more of it. We’re shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year. The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. We are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us. At Flexport, we are building the unified Supply Chain Operating System for global trade. While traditional SaaS companies sell static dashboards and walk away, Flexport's Forward Deployed Engineers (FDEs) embed directly on the frontlines with enterprise clients (such as Fortune 500 retailers, automotive manufacturers, and tech giants) to solve high-stakes supply chain challenges. You are an operational strike-team leader who sits at the intersection of full-stack software engineering, applied AI, operations research, and executive client strategy. Deployed to client command centers and logistics hubs, you will connect fragmented enterprise data, architect solutions, and build agentic AI systems that optimize real-world cargo moving across ocean, air, and land. You won't just write code in a vacuum, you will embed with client engineering leaders and VPs of Supply Chain, map messy operational reality into production software, and deploy autonomous workflows that directly eliminate millions in logistics waste. You Will Embed & Map: Travel to client sites to map end-to-end supply chain processes, audit legacy systems, uncover hidden financial leaks, and translate c
About the Team The OpenAI Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples’ lives. About the Role As a Software Engineer, Distributed Data Systems, you will design, build, and operate some of the largest distributed data systems in the world. You will be responsible for the end-to-end stack to deliver and consume top-quality data for robotics training at exabyte-scale. You’ll manage distributed data pipelines, collaborate closely with researchers to translate requirements into robust systems, and harden pipelines that serve as the backbone for OpenAI’s rapid iteration cycles. We’re looking for engineers who are detail-oriented, have strong experience with distributed systems, and excel at building reliable, large-scale systems in high-stakes environments. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Design, build, and maintain data infrastructure such as exabyte-scale distributed data processing, data selection, automated labeling, and training data loaders. Ensure our data platform can scale by orders of magnitude while remaining reliable and efficient. Partner with researchers to deeply understand requirements and translate them into production-ready systems. Harden, optimize, and maintain critical data infrastructure systems that power multimodal training and evaluation. Deliver the best possible data for training robotics models. You might thrive in this role if you: Have strong experience with distributed systems and large-scale infrastructure with a strong interest in data. Are detail-oriented a
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations Sweden About the Role Cloudflare’s Forward Deployed Engineers (FDEs) operate at the intersection of product engineering and customer impact. As an FDE, you will be embedded within one of Cloudflare’s most strategic global customers, working side-by-side with their engineering teams to build and deploy solutions using Cloudflare’s platform. Unlike traditional Solutions Architects or consultants, you will write production code, s
Get new production scheduler enhancement engineer jobs by email
Daily job updates · Unsubscribe anytime