# Engineering Manager - Intelligent Tooling

**Company**: Plaid
**Location**: San Francisco
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $216,000-367,200 per year
**Category**: Engineering
**Industry**: Finance

**Apply**: https://jobs.lever.co/plaid/5731dc74-0cf9-43ab-98db-c5e961370e7d
**Canonical**: https://yubhub.co/jobs/job_d195961d-daa

## Description

We believe that the way people interact with their finances will drastically improve in the next few years. We're dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life.

The Intelligent Tooling team is being built from the ground up, and our mission is to establish the technical foundations, operating model, and internal platforms that embed AI deeply into Plaid's coding tools, internal systems, and the entire software development lifecycle. When we are successful, engineers across Plaid will delegate lower-leverage work to AI agents, move faster with confidence, and spend more of their time designing and inventing for customers.

As the Engineering Manager for Intelligent Tooling, you will lead an engineering team responsible for some of the highest-leverage systems at Plaid. This role is central to executing Plaid's 2026 engineering strategy to supercharge the engineering organization with AI tooling, and requires a leader who can both build the team and personally operate at the frontier of AI-powered developer workflows to drive real, organization-wide change.

## Responsibilities

- Build and grow the Intelligent Tooling engineering team from the ground up, including hiring, setting early technical direction, and establishing team culture and operating norms.

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

- Take ownership of existing internal tooling platforms (e.g. Retool, Wadsworth, ID2), ensuring clear ownership, reliable operations, and steady improvements to developer experience.

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

- Partner closely with DevEff, Security, Privacy, Legal, and other cross-functional partners to ensure AI tooling is safe, compliant, scalable, and aligned with Plaid’s standards.

- Define and execute against clear success metrics (e.g. usage, quality, reliability) to measure the real impact of Intelligent Tooling across the engineering organization.

## Qualifications

- 8–10+ years of engineering experience, including time as an IC building production systems.

- 3+ years of experience managing and scaling engineering teams.

- Demonstrated success driving adoption of new tools or workflows, ideally AI-powered, for their own team.

- Hands-on experience with AI coding tools, agentic workflows, or LLM-powered developer systems.

- Strong technical judgment with depth in at least one of: developer tooling / DX platforms, infrastructure or platform engineering, or applied AI systems in production.

- Experience translating ambiguous strategy into execution and delivering measurable outcomes.

- Excellent communication and stakeholder management skills.

## Additional Information

Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description.

## Skills

### Required
- AI coding tools
- agentic workflows
- LLM-powered developer systems
- developer tooling
- DX platforms
- infrastructure or platform engineering
- applied AI systems in production
