{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/workflow-orchestration"},"x-facet":{"type":"skill","slug":"workflow-orchestration","display":"Workflow Orchestration","count":20},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_9abe385a-060"},"title":"Machine Learning Engineer","description":"<p>Join the team as Twilio&#39;s next Machine Learning Engineer. This position is needed to drive innovation and the development of cutting-edge products that serve developers, builders, and operators within Twilio&#39;s Data &amp; Observability Substrate organization.</p>\n<p>This is a hands-on, builder-focused engineering role that bridges Product, Design, and Engineering to develop, evaluate, and maintain scalable, low-latency, ML-based systems for real-time applications. You will lead rapid research-to-production cycles that translate business ideas into solutions for complex problems,such as streaming anomaly detection, recommendation systems, predictive modeling, and agentic AI frameworks,with the goal of delivering personalized customer experiences.</p>\n<p>In this role, you&#39;ll:</p>\n<p>Partner with product, UX, and technical stakeholders to analyze business problems, clarify requirements, define scope, and translate them into measurable ML problem statements.</p>\n<p>Design, implement, and maintain scalable, enterprise-grade ML solutions in production.</p>\n<p>Build reproducible ML workflows for data preparation, training, evaluation, and inference using modern orchestration and MLOps tooling.</p>\n<p>Implement monitoring and evaluation frameworks to continuously improve data quality, model performance, latency, and cost through feedback loops.</p>\n<p>Partner cross-functionally with Product, Data Science/ML, Engineering, and Security to deliver resilient, scalable, and compliant ML-powered services.</p>\n<p>Demonstrate end-to-end systems understanding and articulate the &#39;why&#39; 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If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p><strong>About the Team</strong></p>\n<p>The Supply Chain Technology team within OpenAI’s Enterprise Platform &amp; Technology builds and scales the systems and data architecture that power our core supply chain operations. We enable operational agility, visibility, and execution across planning through fulfillment and partner operations. Our focus is on modernizing workflows through strategic integrations, scalable automation, and seamless data flows empowering better decisions, reliable operations, and sustainable growth as OpenAI evolves.</p>\n<p><strong>About the Role</strong></p>\n<p>We’re looking for a Business Platform Engineer within our Supply Chain Technology pod to help build the next generation of supply chain systems at OpenAI. In this role, you’ll design and develop backend services, APIs, integrations, data pipelines, and distributed applications that support critical supply chain workflows and partner connectivity. You’ll work on systems that need to be scalable, secure, and resilient, while partnering closely with product managers, business stakeholders, and engineers across the stack.</p>\n<p>This role is ideal for someone who enjoys solving complex systems problems, working across application and data boundaries, and applying strong engineering fundamentals to business-critical platforms. You should be comfortable moving between architecture, hands-on development, technical problem-solving, and operational ownership.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Designing, building, and optimizing scalable distributed systems using cloud-native technologies and modern service-oriented architectures.</li>\n</ul>\n<ul>\n<li>Developing backend applications, integrations, APIs, and data services that support core supply chain operations and workflows.</li>\n</ul>\n<ul>\n<li>Owning technical delivery across the software lifecycle, from design and implementation through testing, deployment, and production support.</li>\n</ul>\n<ul>\n<li>Improving system reliability, performance, observability, and security across business-critical platforms.</li>\n</ul>\n<ul>\n<li>Partnering closely with product and business stakeholders to deliver robust solutions with a high degree of ownership.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Have 5+ years of professional engineering experience, excluding internships, in relevant roles at technology or product-driven companies.</li>\n</ul>\n<ul>\n<li>Are proficient in one or more backend languages such as Python, Go, Rust, or TypeScript, and have a strong foundation in distributed systems concepts.</li>\n</ul>\n<ul>\n<li>Care deeply about reliability, safety, and performance in production environments.</li>\n</ul>\n<ul>\n<li>Have a track record of thriving in fast-growing, product-driven environments by navigating ambiguity and balancing competing priorities.</li>\n</ul>\n<ul>\n<li>Familiarity with event-driven architectures, asynchronous processing, and systems integration patterns.</li>\n</ul>\n<ul>\n<li>Have experience with containerization and orchestration technologies such as Docker and Kubernetes is a plus.</li>\n</ul>\n<ul>\n<li>Exposure to modern data platforms, workflow orchestration, AI-enabled enterprise tooling is a plus.</li>\n</ul>\n<p><strong>Workplace &amp; Location : SF</strong></p>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.</p>\n<p>We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.</p>\n<p>For additional information, please see [OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement](https://cdn.openai.com/policies/eeo-policy-statement.pdf).</p>\n<p>Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.</p>\n<p>To notify OpenAI that you believe this job posting is non-compliant, please submit a report through [this form](https://form.asana.com/?d=57018692298241&amp;k=5MqR40fZd7jlxVUh5J-UeA). No response will be provided to inquiries unrelated to job posting compliance.</p>\n<p>We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this [link](https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&amp;d=57018692298241).</p>\n<p>[OpenAI Global Applicant Privacy Policy](https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf)</p>\n<p>At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_2dd3ded6-bf0","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://openai.com/","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/dc70e8e8-0f0c-400b-a731-0756c9fdfec1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"Full time","x-salary-range":"$260K – $288K","x-skills-required":["Python","Go","Rust","TypeScript","Distributed systems","Cloud-native technologies","Service-oriented architectures","Backend applications","APIs","Data services","Supply chain operations","Partner connectivity","Scaleable automation","Seamless data flows","Event-driven architectures","Asynchronous processing","Systems integration patterns","Containerization","Orchestration","Docker","Kubernetes","Modern data platforms","Workflow orchestration","AI-enabled enterprise tooling"],"x-skills-preferred":[],"datePosted":"2026-04-25T12:14:57.790Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Go, Rust, TypeScript, Distributed systems, Cloud-native technologies, Service-oriented architectures, Backend applications, APIs, Data services, Supply chain operations, Partner connectivity, Scaleable automation, Seamless data flows, Event-driven architectures, Asynchronous processing, Systems integration patterns, Containerization, Orchestration, Docker, Kubernetes, Modern data platforms, Workflow orchestration, AI-enabled enterprise tooling","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":260000,"maxValue":288000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ba064711-c52"},"title":"Staff Software Engineer: Applied AI","description":"<p><strong>About Flexport:</strong></p>\n<p>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.</p>\n<p><strong>Staff Software Engineer: Applied AI</strong></p>\n<p>Every day, thousands of shipments cross borders, change hands, and hit unexpected problems. For decades, fixing those problems meant phone calls, emails, and humans heroically firefighting. We think that&#39;s about to change completely.</p>\n<p>We&#39;ve been building AI agents that spot trouble before it happens, reroute shipments, and keep goods moving,with our team of experts in the loop where it counts. The early results have been jaw-dropping. We&#39;re now going all in on a future where supply chains run themselves, and we&#39;re looking for the people who want to build that future with us.</p>\n<p>This isn&#39;t a role where you join a team and pick up tickets. You&#39;ll find the highest-leverage problems, design the solutions, and ship them to operators moving freight across 112 countries. If that sounds like your idea of a good time, read on.</p>\n<p><strong>What You&#39;ll Do</strong></p>\n<p>You&#39;ll build the cutting-edge agents and AI-powered applications that make Flexport&#39;s operations smarter, faster, and increasingly autonomous. That means:</p>\n<ul>\n<li>Designing and shipping end-to-end AI agents that handle real logistics work,customs compliance, document processing, exception management, and more</li>\n</ul>\n<ul>\n<li>Crossing organizational boundaries to understand problems deeply, align stakeholders, and get things done without waiting for permission</li>\n</ul>\n<ul>\n<li>Moving fast from idea to production, treating every deployment as a learning opportunity</li>\n</ul>\n<ul>\n<li>Working directly with operators, domain experts, and leadership to turn ambiguous problems into shipped solutions</li>\n</ul>\n<p><strong>You Should Have</strong></p>\n<ul>\n<li>10+ years of software engineering experience; you&#39;ve built with LLMs extensively,whether in production, side projects, or just because you couldn&#39;t stop yourself</li>\n</ul>\n<ul>\n<li>Strong product instincts: you can identify what&#39;s worth building, not just execute on a spec</li>\n</ul>\n<ul>\n<li>LLM fluency: agent patterns, RAG, prompt engineering, tool use, evaluation. You know what works in production and what looks good in demos</li>\n</ul>\n<ul>\n<li>Full-stack capability in TypeScript and Next.js,you can own a feature end to end</li>\n</ul>\n<ul>\n<li>An entrepreneurial drive: you thrive in ambiguity, move fast, and don&#39;t wait to be told what to do</li>\n</ul>\n<ul>\n<li>Excellent communication: you can work across teams and disciplines to get alignment and unblock yourself</li>\n</ul>\n<ul>\n<li>An audacious appetite for impact: you&#39;re not here to maintain,you&#39;re here to change how global trade works</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Experience with workflow orchestration (Temporal, etc.)</li>\n</ul>\n<ul>\n<li>Experience building internal tools or operator-facing applications</li>\n</ul>\n<p><strong>How We Work</strong></p>\n<ul>\n<li>We come to the office 3 times a week to hang out, whiteboard, and ship together</li>\n</ul>\n<ul>\n<li>We have the latest hardware and software,including frontier AI models on day one</li>\n</ul>\n<ul>\n<li>We&#39;re agile, but not dogmatic. Teams decide how they work best</li>\n</ul>\n<ul>\n<li>Stack: Next.js, TypeScript, Postgres, Snowflake. For AI: Anthropic, OpenAI, Google AI APIs</li>\n</ul>\n<p><strong>Why This Role Is Special</strong></p>\n<ul>\n<li>Your work is visible: This is a small, senior team reporting directly to the VP of Engineering. What you build gets noticed, and your ideas shape the direction</li>\n</ul>\n<ul>\n<li>Real stakes: thousands of containers, 112 countries, $19 billion of goods. Your agents will have immediate, measurable impact</li>\n</ul>\n<ul>\n<li>Full ownership: from problem definition to production deployment, it&#39;s yours</li>\n</ul>\n<ul>\n<li>You&#39;re early: the playbook for applied AI in enterprise logistics doesn&#39;t exist yet,you&#39;ll help write it</li>\n</ul>\n<p><strong>What&#39;s in it for you:</strong></p>\n<ul>\n<li>An opportunity to contribute to one of the fastest-growing companies, where you’ll have the chance to create a global impact while being a part of a thriving multinational environment</li>\n</ul>\n<ul>\n<li>Daily catered lunches incl. vegetarian options, breakfast, snacks and soft drinks available in our office on daily basis</li>\n</ul>\n<ul>\n<li>Commute expenses: Flexport will cover home-office commuting costs for employees living outside of Amsterdam</li>\n</ul>\n<ul>\n<li>25 working days as vacation days based on full time employment.</li>\n</ul>\n<ul>\n<li>Health insurance: Flexport offers a collective health insurance plan including a basic package and any available additional packages. Your monthly premium is fully paid by Flexport.</li>\n</ul>\n<ul>\n<li>A defined pension contribution scheme</li>\n</ul>\n<ul>\n<li>Equity program: every team member becomes a shareholder, aligning our success with yours. As a private company in a multi-trillion dollar industry, you have a direct stake in our collective growth and success.</li>\n</ul>\n<ul>\n<li>Employee Assistance Program through Aetna Resources for Living: Flexport provides an employer-sponsored program at no cost to you and your household members</li>\n</ul>\n<ul>\n<li>Parental leave benefit: Flexport is here to support you and your families in one of the most important times in life – the birth of a child! 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The next decade will yield the next iconic companies, and we dare to say we have what it takes to become one. Here’s why,</p>\n<p><strong>Our culture</strong></p>\n<p>At Synthesia we’re passionate about building, not talking, planning or politicising. We strive to hire the smartest, kindest and most unrelenting people and let them do their best work without distractions. Our work principles serve as our charter for how we make decisions, give feedback and structure our work to empower everyone to go as fast as possible. <strong>You can find out more about these principles here.</strong></p>\n<p><strong>Serving 50,000+ customers (and 50% of the Fortune 500)</strong></p>\n<p>We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read stories from happy customers and what 1,200+ people say on G2.</p>\n<p><strong>Proprietary AI technology</strong></p>\n<p>Since 2017, we’ve been pioneering advancements in Generative AI. 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Our end-to-end AI platform structures messy data, automates digital workflows, deploys agentic solutions, measures outcomes, and integrates human expertise where it matters most.</p>\n<p>Our platform cleans, labels, and structures company data so it is ready for AI. It adapts models to each business and adds human expertise when needed, the same approach we have used to improve models for more than 80% of the world’s top AI companies, including Microsoft, AWS, and Cohere.</p>\n<p>Our successes span industries, from supply chain automation for Swiss Gear to AI-enabled naval simulations with SAIC, and validating NBA draft picks for the Charlotte Hornets.</p>\n<p>Profitable for more than half a decade, Invisible reached $134M in revenue and ranked as the number two fastest growing AI company on the 2024 Inc. 5000. In September 2025, we raised $100M in growth capital to accelerate our mission of making AI actually work in the enterprise and to advance our platform technology.</p>\n<p><strong>About The Role</strong></p>\n<p>As a Senior Forward Deployed Engineer (FDE) for our U.S. Public Sector team at Invisible, you&#39;ll lead high-impact, AI-powered solutions that reshape how our clients operate their most critical workflows. You won’t just build and deploy — you’ll drive the strategy, architecture, and execution of end-to-end systems, working directly with client stakeholders and our internal delivery teams.</p>\n<p>This is a hybrid role: equal parts AI architect, hands-on engineer, and technical advisor. You’ll work on the front lines with ambitious clients, turning operational challenges into scalable AI workflows. You’ll be trusted to lead complex engagements, make architectural calls, and mentor others across technical and non-technical domains.</p>\n<p><strong>What You’ll Do</strong></p>\n<ul>\n<li>Scope, design, and lead implementation of AI-driven solutions in partnership with delivery teams and executive stakeholders</li>\n<li>Translate ambiguous workflows and business needs into repeatable systems and production-ready technical architectures</li>\n<li>Lead architecture design and trade-off discussions across performance, scalability, cost, and reliability</li>\n<li>Build usable systems from messy data and incomplete or evolving requirements</li>\n<li>Apply AI/ML solutions in highly regulated environments (e.g., defense, intelligence, healthcare, finance)</li>\n<li>Own projects end-to-end—from initial discovery and scoping through implementation, deployment, and post-launch iteration</li>\n<li>Build shared infrastructure, reusable components, and internal playbooks to improve delivery consistency and team velocity</li>\n<li>Mentor mid-level engineers and contribute to the development of forward-deployed AI engineering practices at Invisible</li>\n</ul>\n<p><strong>What We Need</strong></p>\n<ul>\n<li>Active U.S. Department of Defense Secret clearance or higher</li>\n<li>5+ years of software engineering experience, including work on data-intensive, ML, or backend systems</li>\n<li>Ability to work on-site 2–3 days per week at offices located in the greater Washington, D.C. and Reston, VA area</li>\n<li>Python &amp; ML/LLM frameworks: Hands-on experience with Python and modern ML/LLM tooling (e.g., Hugging Face, LangChain, OpenAI, Pinecone)</li>\n<li>Deployment &amp; infrastructure: Experience building and operating API-based services using Docker, FastAPI, Kubernetes, and major cloud platforms (AWS, GCP)</li>\n<li>Platform &amp; data management: Familiarity with workflow orchestration, pub/sub systems (e.g., Kafka), schema governance, data contracts, Unity Catalog, Delta/ETL pipelines, and replay processes</li>\n<li>Experience leading requirements-gathering activities and translating stakeholder input into technical specifications</li>\n</ul>\n<p><strong>What’s In It For You</strong></p>\n<p>Invisible is committed to fair and competitive pay, ensuring that compensation reflects both market conditions and the value each team member brings. Our salary structure accounts for regional differences in cost of living while maintaining internal equity.</p>\n<p>For this position, the annual salary ranges by location are:</p>\n<p>Tier 2 Salary Range $164,000 – $240,000USD</p>\n<p>You can find more information about our geographic pay tiers here. During the interview process, your Invisible Talent Acquisition Partner will confirm which tier applies to your location. For candidates outside the U.S., compensation is adjusted to reflect local market conditions and cost of living.</p>\n<p>Bonuses and equity are included in offers above entry level. Final compensation is determined by a combination of factors, including location, job-related experience, skills, knowledge, internal pay equity, and overall market conditions. Because of this, every offer is unique. Additional details on total compensation and benefits will be discussed during the hiring process</p>\n<p><strong>What It&#39;s Like to Work at Invisible:</strong></p>\n<p>At Invisible, we’re not just redefining work—we’re reinventing it. We operate at the intersection of advanced AI and human ingenuity, pushing the boundaries of what’s possible to unlock productivity and scale. Ownership is at the core of everything we do. Here, you won’t just execute tasks—you’ll build, innovate, and shape the future alongside world-class clients pushing the boundaries of AI.</p>\n<p>We expect bold ideas, relentless drive, and the ability to turn ambiguity into opportunity. The pace is fast, the challenges are big, and the growth is unmatched. We’re not for everyone, and we’re okay with that. If you’re looking for predictable routines, this isn’t the place for you. But if you’re driven to create, thrive in dynamic environments, and want a front-row seat to the AI revolution, you’ll fit right in.</p>\n<p>_<strong>Country Hiring Guidelines:</strong>_ _Invisible is a hybrid organization with offices and team members located around the world. While some roles may offer remote flexibility, most positions involve in-office collaboration and are tied to specific locations. 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