Manager, Customer Engineering

The Team + The Role Pendo’s Customer Engineering team is the technical backbone of our pre- and post-sales motion. The team brings together responsibilities previously split across Customer Success, Technical Account Management, and Solutions Engineering into one full-lifecycle technical ownership model. Customer Engineering is a growth function focused on customer health, retention, expansion, and technical partnership. As Manager, Customer Engineering, you will lead a team of Customer Engineers and be accountable for their aggregate output while staying close to the work. You will translate team goals into individual assignments, coach direct reports on technical and commercial skills, and run the day-to-day operating rhythm for your pod. This is a people leadership role where your team’s output is your output. This is a role based in-office in Sydney or Remote in Melbourne. What this looks like day-to-day Team output and account health: Own the aggregate health, retention, and expansion outcomes for the accounts your team manages. Ensure Customer Engineering coverage is adequate, account risks are surfaced early, and no account falls through the cracks. People development: Coach and develop P2 through P4 Customer Engineers through regular 1:1s, actionable feedback, performance management, and individual development plans. Identify skill gaps and partner with enablement to address them. Operational rhythm: Run the team’s operating cadence, including weekly account reviews, pipeline syncs with Account Directors, escalation triage, and capacity planning. Maintain documentation standards and Salesforce hygiene across the team. Hiring and onboarding: Partner with recruiting to hire strong Customer Engineers and own the onboarding experience for new team members. Ensure new hires become productive within expected ramp timelines. Account Director partnership: Serve as the management counterpart to Account Director leadership for your pod. Resolve cross-functional fricti

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 Remote, India Responsibilities Lead the technical customer-facing organization in India, reporting into APAC Customer Engineering leadership, and is accountable for building a high-performing, AI-augmented technical go-to-market team that drives new business, adoption, retention, and expansion. This role is both a people leadership role and a commercial technical leadership role. It is designed for a leader who can coach custom

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As part of the Customer Engineering Technical Leadership (CETL) function within HIG PSE, the Technical Leader will serve as a key technical interface between external customers and internal engineering teams. In conjunction with CIL (Customer Integration Lead), this role requires deep technical engagement to understand customer application requirements and align them with internal HBM design, product engineering, and manufacturing processes (Front-End and Back-End). The position emphasizes technical problem-solving, multi-functional teamwork, and driving integration success for advanced HBM products. Develops and deploys AI systems that help automate processes and tackle technical challenges. Responsibilities: Develop a strong understanding of customer system architecture, application requirements, and integration challenges. Translate customer technical needs into actionable requirements for internal design, product engineering, and manufacturing teams. Provide technical mentorship on HBM architecture, signal integrity, thermal solutions, and packaging strategies. Develops and deploys AI (artificial intelligence) systems that help automate processes and tackle technical challenges Work closely with internal teams across front-end/back-end process engineering, product development, and manufacturing to ensure seamless integration. Support design reviews, failure analysis, and yield improvement initiatives tied to customer requirements. </ul

About the team The Applied AI Engineering (AAE) team is responsible for helping developers and enterprises turn the potential of generative AI into real-world impact. We act as trusted advisors and technical partners to customers and ecosystem partners, helping identify high-impact AI use cases and bring them into production through strong architectural guidance and hands-on execution. The Partner Applied AI Engineering organization works closely with strategic cloud providers, systems integrators, consultancies, and implementation partners to scale successful adoption of OpenAI technologies. As the leader of the AWS Partner AAE pod, you will manage a team of Applied AI Engineers focused on enabling AWS-aligned partners and their customers to build, deploy, and operationalize AI applications on OpenAI’s platform. About the role We are seeking a Manager, Partner Applied AI Engineering – AWS to lead a team of Applied AI Engineers supporting strategic AWS ecosystem partnerships. In this role, you will own the technical success strategy for AWS-aligned partners and help build scalable, repeatable ways for partners and their customers to adopt OpenAI technologies. Your team will guide partners and customers across the full AI implementation lifecycle—from identifying and shaping high-value use cases to solution design, architecture, production deployment, optimization, and adoption growth. You will work cross-functionally with internal and external stakeholders across Sales, Partnerships, Product, Research, and Engineering to ensure the voice of partners and customers informs our platform roadmap and how we bring OpenAI technology into production at scale. This role requires a blend of technical depth, customer leadership, operational rigor, and people management. Success will be measured through production deployments, partner technical maturity, API adoption growth, team development, and the overall impact of the AWS partner ecosystem. This role is based in our San Fra

About the Team The Applied AI Engineering team is responsible for helping customers turn frontier AI capabilities into real products, workflows, and business impact. We act as trusted technical partners across solution design, architecture, implementation, evaluation, and adoption, working alongside customers to build and scale effective AI applications with OpenAI’s technologies. The Codex Applied AI Engineering team focuses on helping organizations transform how software is built with AI. We partner directly with engineering teams and technical leaders to integrate Codex into their software development lifecycle — from identifying high-impact use cases and designing AI-enabled workflows to implementation, evaluation, and scaled adoption. Our work helps ensure AI-powered software development is effective, reliable, secure, and deeply integrated into how engineering organizations operate. About the Role We are seeking an experienced technical leader to join as Manager, Applied AI Engineering (Codex) , leading a team of Applied AI Engineers responsible for driving successful Codex adoption across strategic customers. Your team will work hands-on with customer engineering organizations to design and build AI-enabled development workflows, solve complex implementation challenges, and establish scalable patterns for AI-powered software development. As a manager, you will shape how these technical engagements operate at scale — setting strategy, coaching engineers, determining where the team can have the greatest impact, and ensuring consistently strong execution across customers. You will serve as both a people leader and senior technical advisor, partnering closely with Sales, Product, Research, and Engineering to translate customer needs and real-world usage into better technical approaches, reusable patterns, and product insights. Success in this role will be measured by meaningful and sustained Codex adoption, successful customer outcomes, and the creation of repeat

About the Team The Applied AI Engineering team is responsible for helping customers turn frontier AI capabilities into real products, workflows, and business impact. We act as trusted technical partners across solution design, architecture, implementation, evaluation, and adoption, working alongside customers to build and scale effective AI applications with OpenAI’s technologies. The Codex Applied AI Engineering team focuses on helping organizations transform how software is built with AI. We partner directly with engineering teams and technical leaders to integrate Codex into their software development lifecycle — from identifying high-impact use cases and designing AI-enabled workflows to implementation, evaluation, and scaled adoption. Our work helps ensure AI-powered software development is effective, reliable, secure, and deeply integrated into how engineering organizations operate. About the Role We are seeking an experienced technical leader to join as Manager, Applied AI Engineering (Codex) , leading a team of Applied AI Engineers responsible for driving successful Codex adoption across strategic customers. Your team will work hands-on with customer engineering organizations to design and build AI-enabled development workflows, solve complex implementation challenges, and establish scalable patterns for AI-powered software development. As a manager, you will shape how these technical engagements operate at scale — setting strategy, coaching engineers, determining where the team can have the greatest impact, and ensuring consistently strong execution across customers. You will serve as both a people leader and senior technical advisor, partnering closely with Sales, Product, Research, and Engineering to translate customer needs and real-world usage into better technical approaches, reusable patterns, and product insights. Success in this role will be measured by meaningful and sustained Codex adoption, successful customer outcomes, and the creation of repeat