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Staff Software Engineer - Consumer

Plaid · San Francisco, United States Of America · Hybrid

$202,800.00  -  $330,000.00

  • Office in San Francisco
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Description

The Consumer team is responsible for building Plaid’s first direct to consumer products, starting with a security focused experience that helps people protect and manage their financial identity. We focus on creating intuitive, high trust experiences that give users more control over their financial data and strengthen their confidence in using Plaid.

This is a small, fast moving team working from zero to one on Plaid’s first consumer app. Engineers here shape the product, architecture, and long term strategy from the ground up while collaborating closely with product, design, and research.

As a member of the Consumer team, you will help design and build the systems that power Plaid’s first consumer app. You will collaborate with product, design, and infrastructure partners to deliver features that help people manage their financial identity and feel secure in their financial lives.

As a senior technical leader, you will guide architectural decisions, scale backend systems, and shape the long term technical direction of Plaid’s consumer platform. You will also mentor other engineers and help define best practices as we grow the team and expand Plaid’s consumer offerings.

Responsibilities

  • Design and build backend systems that power our consumer-facing experiences
  • Drive technical execution on major features by collaborating closely with product, design, and infrastructure teams
  • Run experiments and use data to iterate on user-facing features and improve adoption
  • Mentor engineers and contribute to a strong, inclusive team culture
  • Influence the long-term technical direction of Plaid’s consumer platform

    • Qualifications

  • 8+ years of experience in software engineering, with a proven track record of delivering successful projects
  • 2+ years of experience as a project lead, working with other engineers, and other functions (product, design, data science) to drive execution
  • Familiarity with running experiments and using data to inform product and technical decisions
  • Strong user empathy and ability to balance technical tradeoffs with product outcomes
  • Demonstrated leadership skills, including mentoring junior engineers