Arcade Food Theatre

<div>Everyone's building AI agents, but almost nobody gets them to production.
Building an impressive demo is easy. Building an AI agent that can securely take action inside enterprise systems is hard. The moment an agent accesses customer data, executes a workflow, or makes changes on behalf of a user, authorization, governance, and trust become the real engineering challenge.
Arcade is the MCP runtime that gives agents the power to do both seamlessly. We connect agents to the systems they act in, then give each one a permission slip and a paper trail - proof of what it's allowed to do, and a record of what it did. That's what makes AI safe to turn loose: real actions, on real systems, already shipping inside Fortune 100 companies.
The Revolution Needs You
Every AI app needs agentic &quot;tools&quot; - special functions that let AI models take real actions. Without tools, AI can only chat. With tools, AI can actually do things. We're building the definitive tools catalog and tool-calling platform that will unlock AI's true potential. Think Zapier for AI Actions. Think Auth0 for AI. Think really big.
Why This Is The Opportunity of a Lifetime<ul><li>
Traction: Real deployments with Fortune-100 customers like Morgan Stanley and Open Table</li><li>
Founder-Market Fit: Our CEO previously founded Stormpath (acquired by Okta), where he created the first Authentication API for developers. He's done this before - and this time the market is 10x bigger. Our CTO led the vector database team at Redis, shipped 100+ LLM applications, and is a contributor to LangChain and LlamaIndex. He knows this space better than anyone.</li><li>
Dream Team: We've assembled authentication, integrations, distributed systems, and AI experts from Okta, Redis, Microsoft, Splunk, Ngrok, Google, Airbyte, Disney, and HPE who've built and founded multiple successful developer platforms.</li><li>
Perfect Timing: Every enterprise is racing to put agents in production - almost none get there. The problem isn't better models, it's proving which agent can take which action, on behalf of which user, against which system. That's us.</li><li>
Massive Market : We're building critical infrastructure for the biggest technological shift of our generation. Every AI app will need what we're building.</li><li>
Backed By The Best: Our Series A round is led by SYN Ventures, with strategic investment from Morgan Stanley and Wipro. Our earlier investors have also backed Databricks, Clickhouse, MongoDB, Perplexity, Cohere, ScaleAI, Confluent, Elastic, and Firebase. They see what we see - this is going to be huge.</li></ul>
The Challenge
The number of deployed Arcade customers is growing rapidly, and after a deployment goes live, someone needs to own everything that happens next. Right now that's ad hoc. We need a leader to build our support function from zero - on a product that looks nothing like typical SaaS. To help a customer succeed, you&rsquo;ll need to understand MCP, OAuth, SSO, tool-calling, and cloud infrastructure. Nobody has been debugging agent authorization at enterprise scale long enough to write the playbook for it. That bar is why Arcade is becoming core infrastructure inside Fortune-100 companies, and it's why this role matters more here than it would anywhere else.
You'll be our first support hire and own the team&rsquo;s growth and processes. For the first several months you'll be doing the L2 support work yourself while you grow the team and build the function. That&rsquo;s how you&rsquo;ll earn the pattern recognition that makes everything you design afterward correct instead of theoretical. This will include not only helping customers, but also improving our docs, configuring agentic support &amp; automations, setting SLAs, and defining escalation paths that let the team scale sub-linearly as customers grow. Do it right and support becomes a product in its own right - fast, technical, and a direct input into what we build next. You&rsquo;ll be reporting to the Head of Product because you'll have some of the strongest signals about what we should build next and we want you sitting right inside the conversation.
What You'll Do<ul><li>
Build the support function from scratch: stand up L0 (docs), L1 (AI &amp; automations), and define the routing, SLAs, and escalation paths up to FDE (L3) and Engineering (L4).</li><li>
Own L2 support: be the human escalation point for real technical issues - Okta/SSO not working, tools not getting called correctly by the LLM, gateway and user-source configuration, auth edge cases.</li><li>
Grow and lead the team. Use your experience to scale a world-class support org that customers rave about and sets the technical bar for what a support organization looks like.</li><li>
Automate aggressively so support does not need to scale with customer count. An AI-first approach is central to how you'll work.</li><li>
Partner with FDE: take over as primary customer contact after first deployment so FDE can move to the next customer; over time, absorb &quot;standard&quot; onboarding and cluster setup - especially for marketplace (AWS/Azure) deployments to make that experience seamless.</li><li>
Close the loop with Product and Engineering: turn recurring tickets and friction into prioritization signal and product fixes.</li></ul>
Required Skills<ul><li>
You've built or led a support team for a technical, B2B product.</li><li>
Strong technical fluency in infrastructure and auth - OAuth, SSO/SAML, APIs and tool-calling, cloud deployment concepts. You can debug alongside a customer, not just triage.</li><li>
A player-coach mindset: energized by doing hands-on support with customers and building the process behind it.</li><li>
Track record designing SLAs, ticket routing, and escalation in a way that balances customer empathy with business reality.</li><li>
Background in developer, infrastructure, or auth products, and the MCP/AI-agents ecosystem.</li><li>
AI-pilled: you reach for AI and automation to move fast and keep the customer experience quick.</li></ul>
Bonus Points<ul><li>
Experience supporting self-hosted enterprise customers.</li><li>
Hands-on with modern support tooling like Pylon.</li><li>
Experience with cloud marketplace deployments (AWS/Azure).</li><li>
San Francisco based (or open to relocating).</li></ul>
Join The Movement
We're not just building a product - we're leading a movement to transform AI from just chatbots to agents that can take actions against real systems. This is your chance to be at the forefront of that revolution.
If you want to look back in 5 years and say, &quot;I helped build that&quot;, then we want to talk to you. Ready to make AI actually useful? Apply now!
Compensation Range: $205K - $250K</div>

Head of Support Engineering

Rebellions

<div><h3 class="jobSectionHeader">Rebellions | West Coast, Arizona, Idaho, or Texas | Full Time 
</h3> 
<h3 class="jobSectionHeader">ABOUT REBELLIONS</h3>
Rebellions builds high-performance AI systems with full-stack software natively supporting PyTorch and vLLM &ndash; familiar, open, and ready for production. Our Rebel 100&trade; delivers the best performance per dollar per watt, purpose-built for inference from the ground up, not retrofitted from training. 
 
With proven commercial deployments already live across enterprises and governments, and a chiplet architecture built for the most demanding AI workloads, Rebellions is making good on a simple belief: every organization and nation should be able to own and control their AI, not just access it. 
 
This role reports to the SVP of Worldwide Marketing and Communications and is hybrid, 2-3 days per week on-site in Santa Clara OR remote based on the West Coast, Arizona, Idaho, or Texas. 
 
This role sits inside a lean, high-velocity marketing and communications function. The right candidate is energized by building from scratch, has strong instincts for prioritization, and can operate without large teams or big budgets. This is a high-visibility, high-impact role for someone who wants to be part of something consequential in the global AI infrastructure story. 
 
 
<h3 class="jobSectionHeader">WHAT YOU&rsquo;LL DO</h3>
Content &amp; Social
Build and manage content calendar (e.g., social media, contributed articles) that supports pipeline, brand, and awareness goals. Own social program end-to-end. Collaborate on creation of blog posts, bylines, customer stories, and more. 
 
Marketing Newsletter
Own the newsletter end-to-end, including strategy, editorial, production, and distribution via HubSpot. Manage list hygiene, segmentation, and performance reporting. 
 
Events &amp; Trade Shows
Help coordinate US trade show participation in partnership with CX lead, including booth logistics, graphics, and collateral. Ensure consistent brand execution across every touchpoint. 
 
Influencer Relations
Identify, engage, and manage relationships with relevant influencers and community voices in the AI, semiconductor, and enterprise technology space. 
 
Customer Reference Program
Build and maintain a library of customer reference assets, such as case study quotes, video testimonials, content for social and more, in close partnership with Sales and FDE teams. 
 
Awards &amp; Speaker Bureau
Run awards program and executive speaker bureau, including opportunity identification, submission management, abstract development, and calendar coordination. 
 
 
<h3 class="jobSectionHeader">WHAT YOU BRING</h3>
Required
<ul><li>5-7 years&rsquo; experience in marketing communications, with a track record spanning content creation; social media, awards, speaker bureau programs; events &ndash; not just one or two program areas</li>
<li>Previous experience working at a semiconductor/AI company</li>
<li>Startup company experience</li>
<li>Demonstrated ability to work independently in a fast-paced, lean environment</li>
<li>Strong writing and editing skills across a range of formats and audiences</li>
<li>Hands-on experience with HubSpot or comparable marketing automation platforms</li>
<li>Comfortable working across global time zones; flexibility to work Asia hours</li> 
 </ul> 
Strongly Preferred
<ul><li>Experience working in a multinational company</li>
<li>Experience supporting brand consistency through governance</li> 
</ul> 
 
 
 
 
<h3 class="jobSectionHeader">Recruitment Process</h3>
<ul><li>To apply, submit your application directly on this page or send it to recruit@rebellions.ai</li>
<li>Application Review &ndash; Online Interview &ndash; On-site Interview &ndash; Culture-Fit Interview</li>
<li>The recruitment process may vary depending on the role and may be subject to change based on schedules and circumstances.</li>
<li>All updates regarding the process and results will be communicated individually via the email provided in your application.</li> 
</ul> 
<h3 class="jobSectionHeader">Additional Information</h3>
<ul><li>This job posting may close earlier than the deadline if the position is filled.</li>
<li>If any false information is found in the application, the job offer may be revoked.</li>
<li>If the candidate does not meet the legal qualifications required for the position, employment may be restricted.</li>
<li>Veterans and individuals with disabilities will not face any disadvantage during the hiring process.</li>
<li>The scope of responsibilities may be adjusted based on the candidate&rsquo;s overall experience and qualifications. If such changes are necessary, they will be discussed with the candidate before the final offer.</li>
<li>For any recruitment-related inquiries, please contact us at recruit@rebellions.ai</li></ul></div>
 <div><div><div>직군
</div>Business
</div><div><div>근무지
</div><div>Rebellions | USA미국 캘리포니아 샌타클래라 군</div></div></div>

[USA] Marketing Communications Manager

Optum

<div>Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together. 
As Senior Director of AI/ML Engineering, you will build and scale the AI/ML engineering function within our Enterprise Digital Experience Technology organization. Leading a team of engineers across multiple scrum teams, you will expand the organization to support enterprise-wide growth as AI solutions scale across corporate functions. This leadership role combines deep AI/ML technical expertise, platform engineering leadership, and organizational leadership to deliver reusable AI capabilities, establish agent-ready data strategies, and achieve measurable business outcomes across complex enterprise data environments. 
You'll enjoy the flexibility to work remotely* from anywhere within the U.S., preferably in MN, as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. 
Primary Responsibilities:<ul><li>
Build and scale the AI/ML engineering function that will drive Enterprise Functions AI Transformation leveraging Forward Deployed Engineering concepts</li><li>
Build a team of AI/ML Engineers and Forward Deployed Engineers that will scale AI solutions across the enterprise</li><li>
Design, develop, and deploy AI-powered solutions, platforms, and automations to address complex enterprise business challenges, with an emphasis on the safe and responsible use of AI</li><li>
Deliver reusable AI capabilities, internal developer platforms, engineering accelerators, shared UI frameworks, and agent-ready data capabilities that accelerate AI deployment and adoption across corporate functions</li><li>
Partner directly with business function stakeholders (e.g., Finance, HR, Legal, Operations) to reimagine, redesign, and transform corporate processes through AI-enabled solutions</li><li>
Drive the technical vision and execution of advanced AI architectures, taking solutions from prototype/MVP through enterprise production deployment, scaling, and operational transition to support teams</li><li>
Establish data quality, governance, and agent-ready data strategies to support seamless enterprise AI adoption and ensure data integrity</li><li>
Leverage enterprise-approved AI tools and modern engineering technologies to streamline workflows, automate complex tasks, and drive continuous improvement across engineering teams</li><li>
Evaluate emerging AI trends, frameworks, and architecture patterns to inform platform solution design, technical roadmap creation, and strategic innovation</li><li>
Define and enforce enterprise engineering standards for security, responsible AI, data architecture, platform engineering, and governance in large, fragmented enterprise environments</li></ul> 
You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:<ul><li>
Bachelor's degree in Computer Science, Engineering, or a related technical field (or 4+ years of equivalent software engineering / technical leadership experience in lieu of a degree)</li><li>
12+ years of experience in software engineering, platform engineering, or AI/ML engineering</li><li>
5+ years of direct people management experience leading software engineering organizations and managing engineering managers, with a proven track record of leading organizations of 15+ employees across multiple Agile/Scrum teams within an AIDLC framework</li><li>
Demonstrated experience taking AI solutions from prototype/MVP through enterprise production deployment, scaling, and operational transition to support teams</li><li>
Experience partnering directly with business functions (e.g., Finance, HR, Legal, Operations) to redesign and transform business processes through AI-enabled solutions</li><li>
Demonstrated ability to discuss and explain the practical application of AI technologies through direct implementation experience, including agent architectures, orchestration, RAG, evaluation frameworks, and AI guardrails</li><li>
Experience establishing data quality, governance, and agent-ready data strategies to support enterprise AI adoption</li><li>
Principal or Staff-level architecture experience building reusable engineering platforms, developer accelerators, and defining enterprise standards for security, governance, and responsible AI</li><li>
Proficiency in Python, along with experience using TypeScript or JavaScript</li><li>
Experience with enterprise cloud platforms (Azure preferred; AWS or GCP acceptable), Kubernetes, containers, CI/CD, Infrastructure-as-Code, and enterprise data platforms such as Databricks or Snowflake</li><li>
Proven track record translating AI strategy into measurable business results and partnering effectively with executive stakeholders</li></ul> 
Preferred Qualifications:<ul><li>
Advanced degree (Master's, MBA, or Ph.D.) in a technical or quantitative discipline</li><li>
Experience building AI/ML platforms and solutions on Microsoft Azure, including Azure AI and Azure OpenAI services</li><li>
Experience operating within highly regulated industries such as healthcare, financial services, insurance, or other complex enterprise environments</li><li>
Experience supporting Finance transformation initiatives, including FP&amp;A, Record-to-Report (R2R), or related enterprise finance processes</li><li>
Experience leading innovation, incubation, accelerator, or rapid-delivery engineering teams focused on emerging technologies and business transformation</li><li>
Experience standing up or scaling a Forward Deployed Engineering (FDE) organization, AI Center of Excellence (CoE), or AI Platform organization</li><li>
Experience leading enterprise AI transformation initiatives within Fortune 500 companies</li><li>
Experience building internal developer platforms, shared UI frameworks, and reusable engineering accelerators adopted across multiple engineering teams</li><li>
Experience transitioning technical delivery and support from vendor/consulting models or incubation teams to permanent internal engineering teams</li><li>
Demonstrated passion for leveraging technology and AI to solve complex healthcare challenges and improve business outcomes</li></ul><ul><li> 
All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy.</li></ul> 
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $203,200 - $348,400 annually based on full-time employment. We comply with all minimum wage laws as applicable.
Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. 
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. 
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. 
UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.</div>

Senior Director, AI/ML Engineering - Remote , MN preferred

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Head of Support Engineering

[USA] Marketing Communications Manager

Senior Director, AI/ML Engineering - Remote , MN preferred