Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: Join Airbnb’s Relevance and Personalization team, where you’ll have a unique opportunity to shape the discovery experience for over 150M global users! As a Machine Learning Engineering Manager on the team, you’ll lead a group of ML engineers and set direction for projects that power search and recommendations across the entire Airbnb platform—directly influencing how guests and hosts connect in meaningful ways. Come lead the design and deployment of state-of-the-art ranking algorithms and build resilient, high-performing teams and systems that optimize Airbnb’s most important business goals. The Difference You Will Make: Our team pushes the boundaries of AI and machine learning throughout the search ranking stack, from data pipelines to feature engineering, model innovation, real-time serving, and large-scale experimentation. In this role, you’ll amplify impact through technical leadership—setting strategy, raising engineering quality, and ensuring the team delivers reliable results at scale. You’ll still stay close to the work—guiding architecture and critical technical decisions—while enabling engineers to do their best work. Collaboration lies at the heart of our culture. You’ll partner with talented engineers, data scientists, product managers, and designers from across Airbnb to develop holistic solutions that ensure a vibrant and equitable marketplace. You’ll also be accountable for team health: hiring, coaching, performance management, and building an inclusive culture. Together, we’re dedicated to advancing Airbnb’s mission to create a world where anyone can belong anywhere. Some past publications from the team can be found here: https://sites.google.com/view/airbnb-relevance-publications/home A Typical Day: Work with large scale structured and unstructured data, provide technical leadership to build and continuously improve cutting edge Machine Learning (ML) models for Airbnb product, business and operational use cases. Work collaboratively with cross-functional partners including software engineers, product managers, operations and data scientists, set team priorities and roadmap, identify opportunities for business impact, understand, refine, and prioritize requirements for machine learning models, drive engineering decisions, and quantify impact. Lead the delivery of ML/AI models and pipelines at scale, including both batch and real-time use cases, ensuring operational excellence (on-call health, reliability, cost, latency, and model quality). Leverage third-party and in-house ML/AI tools & infrastructure to develop reusable, highly differentiating and high-performing Machine Learning systems, enable fast model development, low-latency serving and ease of model quality upkeep, and drive adoption of best practices across the team. Example projects include: feature platform, model interpretability, hyperparameter optimization, concept drift detection. Hire, coach, and develop engineers; set clear expectations; conduct performance management; and build a strong, inclusive team culture. Your Expertise: 10+ years of industry experience in applied ML/AI, inclusive MS or PhD in relevant fields. 3+ years of engineering management experience, with 8+ years of relevant software development industry experience in a fast paced tech environment. Strong programming (Scala / Python / Java / C++ or equivalent) and data engineering skills, with demonstrated ability to guide design reviews and architecture decisions for ML systems. Deep understanding of ML/AI best practices (e.g. training/serving skew minimization, A/B test, feature engineering, feature/model selection), algorithms (e.g. neural networks/deep learning, optimization) and domains (e.g. natural language processing, computer vision, personalization, search and recommendation, marketplace optimization, anomaly detection) with the ability to translate technical tradeoffs into product and business outcomes. Experience with 3 or more of these technologies: Tensorflow, PyTorch, Kubernetes, Spark, Airflow (or equivalent), Kafka (or equivalent), data warehouse (e.g. Hive) Industry experience building end-to-end ML/AI infrastructure and/or building and productionizing ML models, including leading multi-quarter initiatives and coordinating delivery across teams. Exposure to architectural patterns of large, high-scale software applications (e.g., well-designed APIs, high volume data pipelines, efficient algorithms, models) and experience establishing engineering standards (reviews, testing, observability, incident response). Experience with test driven development, familiar with A/B testing, incremental delivery and deployment, and ability to create team processes that improve execution predictability and quality. Your Location: This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from. Our Commitment To Inclusion & Belonging: Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com . Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application. How We'll Take Care of You: Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

At Infoblox, every breakthrough begins with a bold “what if.” What if your ideas could ignite global innovation? What if your curiosity could redefine the future? We invite you to step into the next exciting chapter of your career journey. Bring your creativity, drive, your daring spirit, and feel what it’s like to thrive on a team big enough to make an impact, yet small enough to make a difference. Our cloud-first networking and security solutions already protect 70% of the Fortune 500 , and we’re looking for creative thinkers ready to push that influence even further. Join us and discover how far your bold “what if” can take the world, your community, and your career. Here, how we empower our people is extraordinary: Glassdoor Best Places to Work 2025, Great Place to Work-Certified in five countries, and Cigna Healthy Workforce honors three years running — and what we build is world-class: recognized as CybersecAsia’s Best in Critical Infrastructure 2024 — evidence that when first-class technology meets empowered talent, remarkable careers take shape. So, what if the next big idea, and the next great career story, comes from you? Become the force that turns every “what if” into “what’s next”. In a world where you can be anything, Be Infoblox . Director, AI We have an opportunity for a Director, AI to join our AI Pillar within the CIO organization, based in Santa Clara, CA (HQ), Tacoma, WA or US-based remote, reporting to the Senior Director, IT. In this pivotal role, you will own and drive the enterprise AI agenda for Infoblox, translating AI ambition into execution and delivering measurable improvements in how the company operates every day. Working at the intersection of AI advancements, enterprise technology strategy, operating model design and change leadership, you will define our AI north star, select and govern enterprise AI platforms (such as Copilot, Glean and LLM vendors) and embed AI safely, responsibly and at scale into real workflows across Sales, Finance, Support, HR and other business functions. You’ll help shape the future of enterprise technology at Infoblox by joining a collaborative, execution-oriented team that values practical innovation, continuous learning and provable business impact over hype. Be a Contributor — What You’ll Do Lead the enterprise AI strategy and roadmap for Enterprise Business functions (AI for IT and AI for business), aligned with IT modernization, business transformation objectives and the executive vision Translate AI strategy into an executable portfolio of initiatives, connecting use cases to business outcomes and sequencing work for maximum impact. Define AI architecture and patterns, including where we use assistive AI, automation and agentic “digital employees,” ensuring solutions are scalable, secure, compliant and aligned with enterprise architecture standards. Evaluate, select and operationalize and iterate on AI platforms and tools such as Microsoft Copilot, Glean, custom agents and third-party LLMs, partnering with Infrastructure, Enterprise Apps, Data & Analytics and Security to integrate them into a cloud-first environment Design and guide deployment of AI-enabled solutions that improve functional business operations, IT development and operations, cybersecurity and service delivery across Sales, Finance, Support, HR and Business Operations Establish practical, lightweight AI governance in conjunction with Legal, Infosec, HR and other stakeholders, including decision rights, responsible AI guidelines, risk and ethics guardrails and clear boundaries between human accountability and AI execution. Create and refine intake, prioritization and operating rhythms for AI work, including a simple scoring on value and feasibility, regular demos of working AI and transparent scorecards for adoption and impact. Partner deeply across the company including Business Operations, Sales, Finance, Support, HR, Legal, Infosec, Data & Analytics, Infrastructure and Enterprise Apps to shape high-value use cases and land change in real workflows. Define and oversee the lifecycle for “digital employees” or agentic workflows, including design, deployment, monitoring, hand-off criteria and retirement. Measure and communicate business outcomes and ROI for AI initiatives, defining success metrics and regularly briefing the executive stakeholders on progress, lessons learned and next investments. Uplevel AI fluency across IT and the business by mentoring teams, contributing to enablement programs and helping leaders understand where AI is ready for production today and where it remains experimental. Be Prepared — What You Bring 10 plus years of progressive experience in enterprise technology roles in IT and/or consulting, leading AI, automation, data or architecture initiatives and delivering outcomes at scale. 5 plus years in strategic technology leadership roles such as enterprise IT transformation, data and ML or AI initiatives, influencing cross-functional roadmaps and operating models. Proven experience rolling out AI in internal business and IT contexts, including deploying GenAI and LLM platforms, enabling adoption and navigating vendor claims versus real capabilities. Strong enterprise architecture and integration skills with the ability to design reusable, scalable AI solution patterns that integrate with SaaS platforms such as Salesforce, Oracle and ServiceNow and custom applications across a multi-cloud environment. Ability to translate complex AI and ML concepts into clear business value, build credibility with senior stakeholders and manage competing priorities in a fast-moving environment. Experience with AI governance, security and model lifecycle management, including responsible AI practices, risk mitigation, monitoring and clear human ownership of AI-driven work, including vendor-hosted solutions. Deep cross-functional collaboration skills, comfortable operating across Infrastructure, Enterprise Apps, Data & Analytics, Security and Infosec, Legal, HR, Finance, Sales and Business Operations, and partnering with Engineering where appropriate. Executive presence and strong communication skills with the ability to brief E-staff, represent the AI agenda autonomously and engage confidently with both technical and non-technical audiences. Bias toward experimentation and learning with a demonstrated habit of staying current on GenAI, LLMs and agentic patterns, paired with the judgment to separate durable value from hype. Education: Bachelor’s degree in Computer Science, Engineering, Data or a related field or equivalent practical experience. Be Successful — Your Path First 90 Days: Quickly immerse yourself in Infoblox’s culture, AI Pillar charter and IT operating model, establish strong partnerships across IT and business leadership and gain a clear understanding of existing enterprise AI platforms and active use cases. Define and publish the enterprise AI north star and near-term roadmap, align on governance guardrails and rapidly iterate on current platforms while delivering visible AI improvements embedded in real workflows. Six Months: Enhance and optimize existing enterprise AI platforms with improved architecture, security, governance and usability, and deliver multiple high-impact AI capabilities across IT and business operations with measurable adoption and business value. Establish a consistent execution and reporting cadence while expanding advanced automation and agentic workflows across priority areas. One Year: Enterprise AI operates as a mature, scalable capability embedded across core IT and business systems, driving sustained improvements in efficiency, service quality and cost to serve. Standardized AI patterns and advanced workflows run at scale with clear ROI, positioning Infoblox for continued AI-driven operational transformation. Belong— Your Community Our culture thrives on inclusion, rewarding the bold ideas, curiosity, and creativity that move us forward. In a community where every voice counts, continuous learning is the norm. So, whether you code, create, sell, or care for customers, you’ll grow and belong here. Be Rewarded — Benefits That Help You Grow, Thrive, Belong Comprehensive health coverage, generous PTO, and flexible work options Learning opportunities, career-mobility programs, and leadership workshops Sixteen paid volunteer hours each year, global employee resource groups, and a “No Jerks” policy that keeps collaboration healthy Modern offices with EV charging, healthy snacks (and the occasional cupcake), plus hackathons, game nights, and culture celebrations Charitable Giving Program supported by Company Match We practice pay transparency and reward performance. Offers reflect role location, internal equity, experience, skills, education, and certifications. Base salary for this position: $200,000.00 - $250,000.00 plus bonus. Ready to Be the Difference? Infoblox is an Affirmative Action and Equal Opportunity Employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis #LI-EC1 #LI-Hybrid

In the Senior Software Engineer position, you’ll lead the development of intelligent, adaptive, and scalable applications by leveraging AI-powered development tools, machine learning models, and automation frameworks. Beyond writing code, you will play a key role in setting technical direction, mentoring engineers, and driving AI-first software strategies. You’ll work on a cross-functional team dedicated to creating high-quality, scalable web-based products, mobile applications, or server-based systems. Take ownership of complex AI-enhanced solutions Influence architectural decisions Advocate for AI-driven development methodologies Help the team develop a deep understanding of business context, financial trade-offs, and the strategic impact of AI-powered solutions

AI Solutions Architect Remote | Contractual (Full-Time Hours) | US-MST Shift Compensation: $1,800–$2,000 USD (Net) About Summit360 Solutions Summit360 Solutions (S360) is building an elite house of operational talent trained to leverage AI, systems thinking, and process automation to help businesses scale efficiently. We don’t just provide manpower — we build operators who understand systems. As we expand, we’re looking for a high-caliber AI Solutions Architect / Engineer to spearhead our AI initiatives across internal systems, automation frameworks, and client-facing solutions. This role will be instrumental in shaping how we productize AI capabilities for the market. Role Overview The AI Solutions Architect will lead the design, integration, and deployment of AI-driven systems across Summit360’s internal operations and client environments. This role blends: Systems architecture Automation engineering AI tool orchestration Web app prototyping Revenue enablement You will work across internal teams (Recruitment, Operations, HR, Finance Systems) and external clients to build scalable AI-powered solutions that increase efficiency and unlock new service offerings. This is a remote contractual role with strong potential to evolve into a full-time leadership position. Key Responsibilities 1. AI Architecture & Strategy Design and oversee AI system architecture across internal and client projects Evaluate and recommend AI tools, APIs, and frameworks Develop scalable AI integration roadmaps Standardize AI implementation frameworks across the organization 2. Automation & Systems Engineering Build AI-powered automations using tools such as: OpenAI / LLM APIs Zapier / Make / n8n Airtable / HubSpot / CRM integrations Webhooks and API connections Develop lightweight internal web applications or dashboards Architect prompt systems and AI workflows that can be reused across teams 3. Internal AI Enablement Support Operations and Recruitment teams in improving productivity via AI Optimize internal workflows with automation and systemization Create documentation and SOPs for AI deployment 4. Client-Facing Solutions Translate client requirements into AI-driven system designs Prototype and deploy automations or web apps Assist in technical scoping for proposals and sales conversations Help position S360 as an AI-enabled operational partner 5. Governance & Scalability Ensure security, data handling, and compliance best practices Create scalable AI templates that can be replicated across clients Monitor performance and continuously improve AI outputs Ideal Candidate Profile We are looking for someone who: Thinks in systems, not tasks Understands both technical architecture and business impact Can build, test, and deploy quickly Has strong autonomy and ownership Is comfortable operating in a startup-like, high-initiative environment Required Skills & Experience Hands-on experience integrating AI APIs (OpenAI, Anthropic, etc.) Experience building automations (Zapier, Make, n8n, or similar) Strong understanding of APIs, webhooks, and system integrations Experience building lightweight web apps (React, Next.js, Node, or similar frameworks preferred) Strong prompt engineering and AI workflow design experience Ability to translate business needs into technical solutions Experience working with CRMs and operational tools Nice to Have Experience productizing AI services Experience in agency, BPO, or operations-heavy environments Background in building AI copilots or internal AI tools Familiarity with HubSpot, Airtable, Notion, ClickUp integrations Exposure to cloud infrastructure (AWS, GCP, Vercel, etc.) What Success Looks Like in 6 Months Internal AI automations significantly reduce manual workload At least 2–3 AI-enabled services productized for client offerings Repeatable AI frameworks built and documented Summit360 positioned strongly in the market as an AI-enabled operational partner Why Join Summit360 You won’t just be another engineer executing tickets. You will architect the AI backbone of a scaling company — with real autonomy and influence over direction. If you’re excited about building systems that power businesses — not just writing code — we’d love to speak with you.