Vice President, Engineering Location: Remote (US-based preferred) Department: Engineering Reports To: Daniel Rust, CTO About DevHub DevHub is a marketing technology platform headquartered in Seattle, WA. We build enterprise-grade CMS solutions that help businesses create, host, manage, and optimize their websites at scale. We combine powerful technology with hands-on service - and that combination is what sets us apart in the MarTech space. We're a lean, focused team. Everyone here has real ownership and real impact. About the Role We're hiring a VP of Engineering to lead and grow our Engineering and DevOps functions. This is a player-coach role — you'll set technical direction, own the software development lifecycle, and roll up your sleeves on architecture and process when it matters. You'll report to the CTO and hold a key seat on our leadership team, collaborating closely with the VP of Customer Success and VP of Operations to align engineering output with business outcomes. This is not a role for someone who wants to manage from a distance. It's a role for someone who wants to build something. What You'll Do Engineering Leadership - Own the engineering roadmap in partnership with the CTO, balancing new feature development, platform modernization, and technical debt - Define and run the SDLC end-to-end: requirements through QA, staging validation, and production deployment - Set and enforce engineering standards: code review, documentation, testing, and release management - Act as technical architect on major initiatives including REST API refactors, database modernization, and new dashboard development - Establish guidelines for responsible AI coding tool adoption within the team DevOps and Infrastructure - Own CI/CD pipelines, branch management, deployment automation, and environment management - Lead infrastructure decisions across Rackspace Cloud and AWS, including containerization (Docker) and database scaling - Build and maintain a proper staging environment for pre-production testing and validation - Drive security and compliance initiatives, including SOC 2 readiness Team Development - Lead, mentor, and grow the frontend, backend, and DevOps teams - Identify hiring needs and lead recruitment for engineering roles - Build a high-performance, accountability-driven culture with clear ownership Cross-Functional Collaboration - Partner with Customer Success and Operations to scope customer-facing builds and manage delivery expectations - Establish a repeatable Engineering-to-Services handoff process so new features are demo-ready and deployable without bottlenecks - Serve as engineering escalation point when the CTO is unavailable What We're Looking For Required - 8+ years of professional software engineering experience, with 3+ years in an engineering leadership role (Manager, Director, or VP) - Hands-on experience with Python-based development and REST API design - Strong DevOps background: CI/CD, branch management, deployment automation, infrastructure-as-code - Experience with AWS and/or GCP, including containerization with Docker or Kubernetes - Experience managing relational and NoSQL databases at scale - Proven track record of building and retaining engineering teams - Strong cross-functional communication skills — you can translate technical tradeoffs into plain business language - Bachelor's degree in Computer Science, Engineering, or equivalent practical experience You'll Thrive Here If You - Have a player-coach mindset: technically credible, without ego - Bring structure without bureaucracy — you right-size process for the team you have today - Communicate clearly and honestly, even when the answer is complicated - Move with urgency but not chaos — you value sustainable delivery over heroic sprints - Are energized by ambiguity and the opportunity to build something better See full job description at: https://docs.google.com/document/d/1gXYO3HmPJfuiqi1jSl7dIZUsKrMeK8iwEKH4UXDoZcs/edit?usp=sharing

• Lead a cross-functional engineering squad • Line-manage a small team of engineers • Partner closely with Product and Design • Report to the VP of Engineering • Join the Engineering Leadership team • Shape engineering strategy and culture • Challenge roadmap assumptions • Ship lean experiments quickly and validate • Guide feasibility across frontend, backend, and mobile • Champion AI-augmented working

About Airwallex Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 200,000 businesses worldwide - including Brex, Rippling, Navan, Qantas, SHEIN and many more - with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale. Proudly founded in Melbourne, we have a team of over 2,200 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$8 billion and backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is leading the charge in building the global payments and financial platform of the future. If you're ready to do the most ambitious work of your career, join us. Attributes We Value We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you're motivated by our mission and operating principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor. You're humble and collaborative; turn zero-to-one ideas into real products, and you "get stuff done" end-to-end. You use AI to work smarter and solve problems faster. Here, you'll tackle complex, high-visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let's build what's next. About the team Airwallex's Information Security team partners closely with engineering, IT, and other stakeholders to protect our systems, data, and employees while enabling the business to move quickly. The team helps build and maintain strong security practices across the company-from secure product and infrastructure design to risk reduction, incident response, audits, and compliance-so security is built into how we operate, not treated as a blocker. What you'll do As an Engineering Manager working on internal AI tooling, you will be responsible for helping keep $150b+ in payments, 150,000 companies, and our thousands of employees safe. You'll have the opportunity to partner with internal teams to help identify projects that can drive impact - like building internal automation tooling, owning our terabyte-scale log pipelines, and using AI to streamline how our team operates. We're not tied to specific projects, languages, and technology - we rely on smart people diving deep to find the best solutions to hard problems. You'll also be mentoring junior team members and continuing to grow our world-class engineering team. Responsibilities: - Manage and lead a team of engineers, providing technical direction, setting clear goals, and ensuring high-quality, timely delivery of AI-powered security tooling. - Own team execution and delivery, including planning, prioritization, resourcing, and performance management while balancing hands-on technical leadership. - Lead the development of AI tools and applications, from inception to implementation. - Support incident response efforts by building ad-hoc tools for threat hunting, remediation and scanners. - Build, monitor, and maintain underlying infrastructure, including Kubernetes clusters, serverless workloads, and ETL pipelines. - Sit with engineers to identify opportunities for automation and tooling development - Partner with product engineering teams to drive security outcomes - such as automation for patching, and development of gateways and other services to decrease risk. - Mentor and help grow other Software Engineers in the team. Who you are - You have a passion for solving the complex challenges within a high-growth start-up. - You are self-motivated, a self starter, and able to learn new skills and dive deeper into existing skills. Minimum qualifications: - Prior experience leading or managing software engineering teams, including mentorship, career development, and performance feedback. - Proven ability to translate business and security goals into execution plans, aligning roadmap, timelines, and engineering capacity. - Bachelor's degree in Computer Science, Information Security, or a related field. - 8+ years of experience as a Software Engineer. - Experience with production code bases - Experience with at least one scripting language (e.g. Python) and one systems programming language (eg. Golang, C/C++) - Experience with modern cloud infrastructure, including data pipelines, serverless workloads, and Kubernetes - Proven experience working autonomously on projects - delivering them to a high quality and on time. - Excellent communication and interpersonal skills, with the ability to work effectively with both technical and non-technical stakeholders. - Ability to dive deep to find the best solution to a problem - Obsessive curiosity and a willingness to ask questions, gather context, and learn Preferred qualifications: - Experience working in a high-growth tech company. - Hands on experience with AI - specifically leveraging AI to build applications - Experience maintaining Linux operating systems Applicant Safety Policy: Fraud and Third-Party Recruiters To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @airwallex.com email address. Please apply only through careers.airwallex.com or our official LinkedIn page. Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary. Equal opportunity Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don't regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know. #BI-Hybrid

Title: Senior Manager AI/ML Engineering - Remote Location: You'll enjoy the flexibility to work remotely * from anywhere within the U.S. 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. Requisition number: 2364073 Job category: Technology Primary location: San Francisco, CA Overtime status: Exempt Travel: No Job Description: 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. You will join a collaborative AI Platform team building a payer-focused agentic platform that orchestrates data, models, and workflows to support complex healthcare operations. In this role, you will provide critical onshore leadership for AI platform execution and forward deployment across Payment Integrity and Optum Real, ensuring secure, scalable delivery of reusable AI services. The team designs and delivers intelligent, agent-driven applications that review and reason over clinical and administrative data, evaluate AI outputs, and automate decision workflows, while ensuring our production systems are reliable, scalable, and continuously improving. By applying AI to agentic workflows, deployment automation, and production observability in customer environments, you will help accelerate delivery, reduce risk, enable platform reuse, and drive repeatable revenue. We have the data and resources to make an impact on a massive scale; when our solutions are deployed, they process millions of clinical data elements and benefit millions of patients. We are a globally distributed and diverse organization with a shared passion to improve patient outcomes, enhance healthcare operations, and streamline payments. We pay close attention to detail to ensure we deliver high quality, the first time. Primary Responsibilities: - Provide strategic and technical leadership for AI platform execution and forward deployment across Payment Integrity and Optum Real, ensuring secure, reliable, and scalable delivery of reusable AI services - Lead and inspire a high-performing team of AI/ML engineers and senior staff, fostering a culture of trust, ownership, product quality, and consistent execution excellence while setting clear AI development goals within team plans - Champion AI as a core driver of team success, strategically designing, developing, and deploying AI-powered solutions to address complex clinical and administrative healthcare challenges and deliver measurable business value - Strategically design and deliver intelligent, agentic workflows and agent-driven applications that review and reason over clinical and administrative data in customer environments - Drive engineering and operational excellence across the full development lifecycle by applying AI to deployment automation, robust automated testing, continuous integration, and production observability in customer environments - Leverage and integrate enterprise-approved AI tools to streamline engineering workflows, automate routine developer tasks, and drive continuous operational improvement - Champion the ethical use of AI across all projects, proactively embedding transparency, fairness, and accountability throughout the entire AI lifecycle of reusable services - Partner cross-functionally with product managers, customer integration teams, senior stakeholders, and enterprise leaders to represent the engineering vision, accelerate platform reuse, and drive repeatable revenue 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: - Bachelor's degree in Computer Science, Software Engineering, Information Technology, Mathematics, Statistics, or a related quantitative field, or 4+ additional years of equivalent software engineering experience in lieu of a degree - 12+ years of experience in Software Engineering, Data Science, or Analytics, with 3+ years dedicated to AI/ML engineering or related fields - 3+ years of experience directly managing, coaching, and developing engineering teams of 5+ people, including senior engineers - Demonstrated experience leading and managing AI/ML projects from initial ideation and development through to customer-facing production delivery, deployment, and evaluation - Technical experience with major cloud platforms (AWS, Azure, or GCP) and containerization/orchestration tools (Docker, Kubernetes) - Experience with DevSecOps, automated CI/CD practices (e.g., Git, Jenkins), and proficiency in Python or other programming languages for data analysis and AI/ML development Preferred Qualifications: - Master's or Ph.D. in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field - 2+ years of hands-on experience with Generative AI technologies, including large language models (LLMs like OpenAI, Claude, Gemini), LangChain, AI Agents, Retrieval-Augmented Generation (RAG), Vector Databases, Prompt Engineering, and model fine-tuning - Experience applying AI to agentic workflows, deployment automation, and production observability (e.g., model monitoring, logging, and performance tracking) - Experience in establishing and enforcing AI/ML engineering best practices, design standards, and ethical guidelines - Experience in Payment Integrity, clinical operations, or healthcare claim systems - Experience managing or working with a mixed team, both onshore and offshore Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records - All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy 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 $148,900 to $255,300 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.