Level

Plaid

Engineering Manager, AI Applications

Plaid is hiring an Engineering Manager, AI Applications in San Francisco, United States. It pays $279k-$362k a year and Level rates it ; you can apply on Plaid.

Level's read on this job

  • On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
  • Some of the work can be done remotely, according to the posting.
  • The posting mentions RAG among its tools and skills.
  • Level classes it as a senior role.
  • Plaid has 134 other open roles on Level.

AI in this role

rag

AI is revolutionizing the FinTech industry - from how consumers understand and manage their finances, to how developers build applications and how all companies operate. The fintech industry landscape will undergo a fundamental reshape.

Plaid is uniquely positioned to become the financial data and insights backbone for AI applications and platforms in this evolving ecosystem. We believe consumers should be able to understand and manage their financial life through conversational AI interfaces using natural language. They should have peace of mind with a trustworthy consent and authorization manager when agents shop for them. Identity verification and financial fraud prevention in AI-powered products should feel seamless and embedded for the end users. The list goes on.

The most important AI companies, major fintechs, and customer agent platforms are actively trying to integrate Plaid into AI-powered products and solutions they build.

The AI Applications Team

You will have the opportunity to lead this newly formed team, which builds the backbone for agentic financial workflows with a product full-stack and first principles mindset, and grow with the team in our quest to accelerate Plaid’s transformation into an AI-first company.

You will:

Lead projects that enable and scale our business with our largest AI customers and partners, starting with personal finance use cases and expanding into many others; examples include:

  • Architect the trust layer for the future of agentic commerce that will become the industry standard, including consent management, governance, and security

  • Build the product full-stack backbone for agentic financial workflows, from workflow design to the end-user experience

  • Redefine how Plaid’s consumer link experience embeds into conversational interfaces in the most seamless way

  • Develop and evolve the preferred integration pattern for Plaid with AI providers - from API adaptations to building the official Plaid MCP Servers, and beyond

Responsibilities:

  • You will lead a team of 6 engineers, ranging from junior to staff, developing them through clear goal setting, coaching, and feedback

  • You will define and drive the long-term strategy and manage execution on the team, in close partnership with technical and product leaders across Plaid

  • Have a front row seat to all the latest industry developments. Over time, with the skills and experience you develop and hone on this team, you can become an influential voice in defining where AI <> Fintech will be heading longer term.

Qualifications:

  • 8+ years of industry experience, including time as a Staff-level engineer before moving into management

  • 1+ years of engineering management experience

  • Strong product-mindedness: understands customer and user needs, runs rapid experiments - be your own technical PM

  • Experience shipping full-stack products end to end, with workflow design and iteration on real user feedback

  • A track record of building and growing high-performing engineering teams

  • Ability to balance exploring possibilities with judging feasibility, for 0 to 1 work

  • Based in San Francisco, in the office 3 days a week

  • Curiosity about AI applications in fintech

Nice to haves:

  • Hands-on experience shipping LLM-powered products, such as agents, RAG or evals

  • Experience training or serving ML models in production

  • Comfort with privacy- and PII-sensitive environments

  • Experience with AI-native or developer-platform customers and partners

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. We are always looking for team members that will bring something unique to Plaid!

Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at accommodations@plaid.com.

Please review our Candidate Privacy Notice here.

Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.

How we rate this

Engineering Manager, AI Applications at Plaid rates 68 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAG

Questions you could be asked

  1. How would you design a retrieval step so the model answers from real data instead of guessing?
  2. Describe a typical day in a role like this one: which parts run through AI directly?
  3. If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

  • List these exact terms on your resume: RAG. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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