Sr. Engineer, AI Developer Tools (Remote)

Tealium

4d•$145,000 - $185,000•Remote

About The Position

Tealium is seeking a Senior Engineer, AI Developer Tools, to contribute to the vision, design, and rollout of our next-generation AI-driven developer tools. This is a high-impact role at the core of a strategic initiative to modernize Tealium’s engineering ecosystem, enabling teams with intelligent, automated, and scalable tooling. In this role, you will directly empower Tealium’s development teams to innovate faster, enhance code quality, and dramatically increase engineering productivity through AI. This is a unique opportunity to lead a critical strategic initiative, influence technical direction, and help teams adopt AI-forward development practices in a measurable, practical way across the engineering organization. As the driving force behind AI Developer Tools, your work will accelerate both engineering and business velocity by: Accelerating Product Modernization, Engineering Velocity and Quality: Designing, building, and owning internal AI-driven developer platforms and tools (such as code review, test generation, migration automation, and CI/CD copilots) to achieve measurable improvements in engineering productivity and code quality. This role involves defining evaluation frameworks, orchestration, and governance (guardrails) for integrating AI safely into the developer workflow to tackle technical debt and accelerate modernization initiatives (e.g., AWS SDK migrations, Java 21 upgrades). This role is perfect for a visionary technologist passionate about leveraging AI to redefine developer productivity and shape the future of engineering at Tealium.

Requirements

5+ years of software engineering experience, with at least 3 years leading large-scale internal tooling, platform engineering, or modernization efforts.
Proven success designing and delivering AI-powered developer tools—beyond experimentation—with real-world measurable impact on team velocity and quality.
Deep understanding of modern software development practices, languages, and environments (e.g., Java, TypeScript, CI/CD, cloud infrastructure).
Experience using strategic thinking to drive solutions for complex, undefined problems within enterprise-scale engineering organizations, directly enabling large-scale AI strategies.
Strong architecture and system design skills, with the ability to make build-vs-buy decisions and scale tooling across orgs.
Demonstrated ability to influence with authority, collaborate across disciplines, and lead by example in a senior or principal engineering capacity.
Exceptional cross-functional communication skills, including the ability to clearly present complex technical concepts and translate engineering efforts into business value for senior management and non-technical partners.
A passion for improving the developer experience and a practical mindset toward applying AI to solve real engineering problems.
Experience evaluating AI tools and models across critical dimensions, including quality, cost, latency, security, and workflow fit.
Familiarity with tools like Claude Code, GitHub Copilot, AWS Q, or other generative AI platforms—ideally with experience leading their adoption at scale.
Experience applying AI/automation to software development workflows (such as code review, test generation, migration acceleration, developer assistance, or release automation) with measurable improvements in speed, quality, or reliability.

Responsibilities

Drive AI-Powered Refactoring of Monolithic Platform Components: Spearhead initiatives to break up legacy systems, streamline architecture, and reduce production incidents, accelerating modernization across Tealium’s platform.
Design and Implement AI-Enhanced Code Review and Test Automation: Develop automated unit tests, improve test coverage, and eliminate manual QA bottlenecks, to enable faster, higher-quality releases.
Lead Measurement and Adoption of AI Tools: Establish AI scorecards, adoption KPIs, and metrics to track reductions in time-to-market, engineering efficiency improvements, and code quality gains (e.g., tickets closed per release, bug rates, code review cycle times), providing actionable insights to R&D leadership.
Evaluate and integrate best-in-class AI technologies, from code generation to test automation, to create a seamless and efficient engineering experience.
Establish and scale repeatable AI-assisted development workflows, standards, and reusable patterns across the R&D organization, with a focus on reducing bottlenecks and improving delivery speed and quality.
Serve as a technical authority and thought leader across the engineering org, promoting best practices and influencing decisions at all levels with a strong sense of ownership.
Drive large-scale modernization initiatives, partnering with other senior engineers to ensure adoption, scalability, and measurable impact.
Stay current with emerging AI and developer productivity trends, continuously pushing the boundaries of what’s possible within our platform.
Articulate technical vision and strategic decisions to senior stakeholders and leadership across engineering, serving as the connective tissue for cross-functional initiatives.
Drive multi-week implementations of AI-powered developer tools, ensuring successful delivery and integration.