Engineering Manager - Intelligent Tooling

Plaid2 weeks ago

Location

San Francisco

Type

Full Time

Salary

USD 250,000 – 350,000

Level

Manager

Role

Engineering Manager

Posted

Feb 28, 2026

Full TimeManager

The role

Summary

Plaid is seeking an Engineering Manager to lead its cutting-edge Intelligent Tooling team, focusing on developing AI-powered developer tools and platforms that will transform the software development lifecycle. The ideal candidate will drive organizational-wide AI tool adoption, build a new team from the ground up, and create high-leverage systems that empower Plaid's engineering workforce.

What you'll do

Team Building: Build and grow the Intelligent Tooling engineering team from scratch, including strategic hiring, establishing technical direction, and cultivating team culture and operating norms.

AI Developer Tooling: Develop, integrate, and own Plaid's AI-powered developer tooling and internal platforms, including AI coding tools, agentic workflows, and AI-native SDLC automation.

Platform Ownership: Take comprehensive ownership of existing internal tooling platforms, ensuring reliable operations, clear ownership, and continuous improvements to developer experience.

Adoption Strategy: Drive organization-wide adoption of AI tooling by embedding AI directly into core engineering workflows such as coding, testing, debugging, and incident response.

Cross-Functional Collaboration: Partner closely with DevEff, Security, Privacy, Legal, and other cross-functional teams to ensure AI tooling is safe, compliant, scalable, and aligned with Plaid's standards.

Impact Measurement: Define and execute against clear success metrics to measure the real impact of Intelligent Tooling across the engineering organization.

What we look for

Technical

AI Tooling ExperienceHands-on experience with AI coding tools, agentic workflows, or LLM-powered developer systems

Technical DepthStrong technical judgment with expertise in developer tooling, platform engineering, or applied AI systems in production

Education

Advanced DegreeBachelor's or Master's degree in Computer Science, Software Engineering, or related technical field preferred

Experience

Engineering Leadership8-10+ years of engineering experience, including time as an individual contributor building production systems

Team Management3+ years of experience managing and scaling engineering teams

Tool AdoptionDemonstrated success in driving adoption of new tools or workflows, preferably AI-powered

Skills

Required skills

AI DevelopmentDeep understanding of AI technologies and their application in software development workflows

LeadershipStrong ability to translate strategy into execution and deliver measurable outcomes

CommunicationExcellent communication and stakeholder management skills

Nice to have

Internal PlatformsExperience leading internal platforms with broad organizational adoption

Governance ExperienceExperience partnering with security, privacy, and legal teams on AI-related systems

Compensation & benefits

Salary

USD 250,000 – 350,000 (annual)

Stock options

Available

Benefits

Diversity and Inclusion

Commitment to building a diverse team with equitable opportunities

Equal Opportunity

Non-discriminatory hiring practices across various protected characteristics

Interview process

1
Initial Screening — Review of candidate's background and alignment with role requirements
2
Technical Discussion — In-depth conversation about AI tooling, developer experience, and technical leadership
3
Team Interviews — Multiple interviews with potential team members and cross-functional partners
4
Leadership Assessment — Evaluation of strategic thinking, team building, and execution capabilities