Associate Engineering Manager

About the role

SmartBear delivers application integrity for modern tech stacks, ensuring continuous, measurable assurance that software just works as intended with governance to operate at AI speed and scale. SmartBear offers deep test automation, API lifecycle management, and observability capabilities. With integrations across the SDLC, it sets a new quality standard for application delivery teams. SmartBear is trusted by more than 16 million developers, testers, and software engineers across 32,000 organizations, including 75% of the largest financial institutions and industry leaders such as Adobe, JetBlue, and Microsoft. SmartBear's best-loved brands include Swagger, TestComplete, Reflect, QMetry, Zephyr, and more. As stewards of a collaborative open source community, SmartBear meets customers where they are to make our technology-driven world a better place. Learn more at www.smartbear.com , or follow us on LinkedIn, X, and Reddit. At SmartBear, you will be part of a dynamic team solving one of the most critical challenges facing modern businesses: ensuring the integrity of software in an AI-driven world. Whether you are working directly with customers, driving go to market strategies, supporting operations, building products, or enabling teams, your contributions help shape the future of software quality for organizations worldwide. Join us in our mission. Associate Engineering Manager - AI Platform Product Introduction SmartBear is leading the charge to productionize the use of Generative AI throughout the software development lifecycle in ways that go far beyond the chatbots proliferating in UIs everywhere. The AI Platform team sits at the heart of this mission, owning two critical areas of the product. First, the team builds and maintains the APIs that serve AI capabilities to downstream products across SmartBear's portfolio. These APIs sit in front of a secure infrastructure layer responsible for managing calls into Large Language Models (LLMs), handling streaming responses, storing conversation history, and tracking the cost of AI calls. Second, the team owns SmartBear's framework for running AI Agents - including the security, scalability, and reliability of the entire Agent execution system. This includes storing runtime data such as when agents are triggered, which system, user, or organization initiated a run, and capturing raw cost information for downstream reporting and governance. Role Summary As an Associate Engineering Manager on the AI Platform team, you will balance technical depth with people leadership. You will guide a growing team of engineers, drive delivery on foundational AI infrastructure, and stay connected to the codebase through architecture reviews, technical guidance, and hands-on contributions. You bring 2-4 years of management experience paired with a strong foundation as a practitioner who has shipped production code. Job Responsibilities People Leadership Manage, mentor, and grow a team of 6+ engineers across varying experience levels, fostering a culture of ownership, psychological safety, and continuous improvement. Conduct regular 1:1s, performance reviews, and career development conversations to support individual growth aligned with team and company goals. Actively participate in recruiting and hiring, including contributing to the current open engineering role on the team. Identify skill gaps on the team and partner with senior leadership and HR to develop targeted growth plans or address hiring needs. Technical Oversight & Delivery Own the delivery roadmap for the AI Platform team, partnering with Product and senior engineering leadership to plan, prioritize, and execute milestones. Participate in architecture and design reviews for AI API infrastructure, LLM call management, streaming, history storage, and cost tracking systems. Provide technical guidance and review for the Agent framework, with a focus on security, scalability, and reliability - including agent execution data and cost telemetry. Perform code reviews and uphold high engineering quality standards across the full stack. Stay technically engaged with the codebase, contributing code where appropriate to unblock the team or lead by example. Identify and mitigate technical risks and drive resolution of production incidents in partnership with your team. Cross-Functional Collaboration Work closely with downstream product teams who consume the AI APIs, understanding their needs, and translating them into clear technical requirements for your team. Collaborate with security, infrastructure, and data teams to ensure the Agent framework and LLM infrastructure meet enterprise-grade standards. Communicate progress, risks, and tradeoffs clearly to both technical and non-technical stakeholders. Contribute to the broader engineering culture at SmartBear through participation in cross-team initiatives, engineering standards, and knowledge sharing. Skills Required Management & Leadership 2-4 yea

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