Engineering Manager, AI Platform Integration
Plaid
Responsibilities
- Lead the Access team as we scale applied AI tools from prototype to production.
- Ensure technical execution quality, delivery velocity, and team health.
- Partner cross-functionally with Product, MLE, and the Partnerships team to align on the roadmap and unblock integration bottlenecks.
- Evolve team processes and infrastructure to support rapid iteration without sacrificing reliability.
- Grow and mentor a high-performing engineering team.
- Actively participate in roadmap planning, design reviews, and hands-on technical work when needed.
- Drive accountability for longtail access uptime, reliability, and system observability.
Qualifications
- Demonstrated experience leading high-performing engineering teams.
- Strong product intuition and the ability to work across ambiguous problem spaces.
- Track record of mentoring engineers and growing technical leaders.
- Strong systems thinking and ability to evaluate architectural tradeoffs.
- Excellent communication and cross-functional collaboration skills.
Nice to Have
- Experience working with browser automation technologies.
- Familiarity with headless browsing frameworks.
- Previous work in fintech, integrations, or platform infrastructure.
- Hands-on experience building and deploying applied.
- AI-powered automation systems or a rudimentary applied ML experience.