Software Engineering Manager - AI Ops (Teradyne, North Reading)

Teradyne•North Reading, MA

61d•$165,700 - $265,200•Onsite

About The Position

Teradyne's Compute Test Division is transforming how engineers design, build, and ship ATE products by moving to an AI-native workflow that spans the full product development lifecycle. This platform combines persistent system knowledge with agentic capabilities, enabling effective collaboration with AI while maintaining a human in the loop. We are looking for a Software Engineering Manager to lead the team building this platform. The role involves owning the roadmap for the platform's services, including the knowledge system, agent/skill library, and the AI Ops function for productizing, monitoring, and maintaining AI capabilities. The manager will also be responsible for building and growing the engineering team. This position operates at the intersection of platform engineering, applied AI infrastructure, and developer experience, requiring close partnership with other CTD engineering teams to translate vision into adopted capability.

Requirements

7+ years of software engineering experience, including 3+ years of direct management, project, and technical leadership experience.
Demonstrated experience building or operating AI/ML and DevOps platform infrastructure: knowledge/retrieval systems (RAG, vector search), agent orchestration, LLM tool-use/MCP-style integration patterns, or developer-platform tooling.
Track record of taking a platform from pilot/proof-of-concept to scaled, adopted production use across multiple teams.
Strong technical judgment on build-vs-buy and cloud AI infrastructure.
Proven ability to inspire, mentor, and develop engineers.
Strong cross-functional collaboration skills: able to work with architects, product development teams, and governance stakeholders to drive alignment.
Excellent communication skills — able to translate platform architecture and AI capability trade-offs for both engineers and executive stakeholders.
Bachelor's degree in Computer Science, Computer Engineering, or related field required.
Candidates must be local to the position location.
This position is not eligible for visa sponsorship.

Responsibilities

Collaborate with engineering teams to design, refine, and prioritize delivery of AI platform capabilities aligned with their needs.
Help drive effective AI adoption across the organization.
Own or partner closely on the AI Ops function, including developing AI artifact evaluation infrastructure and AI health and adoption metrics and dashboards.
Manage the lifecycle of AI artifacts (skills, instructions, agents, MCP-style integrations) as organizational assets, including creation, maintenance, quality tracking, and degradation/improvement measurement, as well as model evaluation and selection.
Hire, mentor, and grow a high-performing team of platform/AI engineers.
Drive development, deployment, and support of our AI platform roadmap across engineering.
Stay ahead of the rapidly evolving AI/agentic landscape and continuously evaluate what should be adopted into the platform.
Help evolve measurement of platform impact on engineering metrics and product outcomes.