Large

Plaid is a data network that powers the tools millions of people rely on to live a healthier financial life. Plaid works with thousands of companies like Venmo, SoFi, and Betterment, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers more than 12,000 financial institutions across the US, Canada, UK and Europe. Headquartered in San Francisco, the company was founded in 2013 by Zach Perret and William Hockey.

Technology

Plaid

Our mission is to unlock financial freedom for everyone. Join us!

You need 5-7+ years in enterprise sales, financial services experience, strong customer empathy, technical skills, communication proficiency, and knowledge of APIs and mobile/web architecture. Travel may be required.

You will lead technical product demonstrations for enterprise clients, collaborate with Account Executives on solutions, and relay prospect feedback to engineering and product teams.

Customer Relations

New York City

<p>In this role, you’ll work closely with our Banking and Wealth Sales team as the technical lead during the pre-sales process. You will be responsible for partnering with Account Executives, proactively pushing deals forward by overcoming technical objections and evangelizing Plaid solutions to technical and non-technical customer stakeholders. You will guide customers through thorough technical scoping, ensuring foundational architectural decisions set customers up for long-term success. You will ensure a successful transition to the post-sale stage of the customer lifecycle and partner with account teams to drive adoption of new products by existing customers. You will be expected to have significant knowledge of the financial services industry and a deep understanding of how clients can best utilize Plaid.</p><p><strong>Responsibilities:</strong></p><ul><li class="ql-indent-1">Serve as the lead technical product lead for Enterprise accounts throughout the sales process</li><li class="ql-indent-1">Partner with Account Executives to demonstrate to prospects how Plaid can best address their use cases and technical requirements. Specifically, to design solutions and share best practices throughout the sales process</li><li class="ql-indent-1">Work with our engineering and product teams to translate prospect feedback into meaningful product insights</li></ul><p><strong>Requirements:</strong></p><ul><li class="ql-indent-1">5-7+ years of customer facing experience selling to large enterprises</li><li class="ql-indent-1">Experience in financial services or selling to financial services companies</li><li class="ql-indent-1">A strong sense of customer empathy</li><li class="ql-indent-1">A background that combines business experience and technical acumen</li><li class="ql-indent-1">Strong communications skills with a confident and proactive approach to client management</li><li class="ql-indent-1">Ability to quickly understand new technologies and complex concepts quickly</li><li class="ql-indent-1">Knowledge of web services, APIs, and related standards such as HTTP and REST</li><li class="ql-indent-1">Knowledge of mobile and web application architecture specific to interfacing with API platforms</li><li class="ql-indent-1">Payments &amp; Identity verification experience a plus!</li><li class="ql-indent-1">Willing and able to travel as needed to customers,&nbsp;office, team events, etc.</li></ul>

In this role, you’ll work closely with our Banking and Wealth Sales team as the technical lead during the pre-sales process. You will be responsible for partnering with Account Executives, proactively pushing deals forward by overcoming technical objections and evangelizing Plaid solutions to technical and non-technical customer stakeholders. You will guide customers through thorough technical scoping, ensuring foundational architectural decisions set customers up for long-term success. You will ensure a successful transition to the post-sale stage of the customer lifecycle and partner with account teams to drive adoption of new products by existing customers. You will be expected to have significant knowledge of the financial services industry and a deep understanding of how clients can best utilize Plaid.Responsibilities:Serve as the lead technical product lead for Enterprise accounts throughout the sales processPartner with Account Executives to demonstrate to prospects how Plaid can best address their use cases and technical requirements. Specifically, to design solutions and share best practices throughout the sales processWork with our engineering and product teams to translate prospect feedback into meaningful product insightsRequirements:5-7+ years of customer facing experience selling to large enterprisesExperience in financial services or selling to financial services companiesA strong sense of customer empathyA background that combines business experience and technical acumenStrong communications skills with a confident and proactive approach to client managementAbility to quickly understand new technologies and complex concepts quicklyKnowledge of web services, APIs, and related standards such as HTTP and RESTKnowledge of mobile and web application architecture specific to interfacing with API platformsPayments & Identity verification experience a plus!Willing and able to travel as needed to customers, office, team events, etc.

Enterprise Sales Engineer - Banking and Wealth - Plaid

Enterprise Sales Engineer - Banking and Wealth

You have 5+ years in software engineering, 2+ years in machine learning, strong communication and architecture skills, and experience with Python and Kubernetes.

You will design scalable ML infrastructure, enhance MLOps, collaborate with teams, mentor peers, and stay updated on industry trends to ensure a competitive ML platform.

Software Engineering

San Francisco

Washington, DC

London

<ul><li>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. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. #LI-Remote</li><li>The Machine Learning Platform team at Plaid is at the forefront of transforming the financial technology landscape. Specializing in developing cutting-edge machine learning products, this team plays a crucial role in advancing transaction enrichment, credit, and risk management solutions. By leveraging consumer-permissioned financial data, the team enables Plaid and its partners to craft innovative financial services that cater to the evolving needs of consumers and businesses alike.</li><li>As an Experienced Software Engineer on the Machine Learning (ML) Platforms team at Plaid, you will play a pivotal role in architecting and developing the core infrastructure that powers Plaid's machine learning initiatives. Your work will directly contribute to the innovation and effectiveness of ML products in areas such as transaction enrichment, credit evaluation, and risk assessment. If you're interested in helping build the state of art AI/ML solutions to unblock financial freedom for everyone, let's chat!</li></ul><p><strong>Responsibilities:</strong></p><ul><li>Architecting Scalable ML Infrastructure: You will design and develop scalable, efficient, and robust machine learning infrastructure that supports the lifecycle of ML models—from data ingestion and processing to training, evaluation, and deployment. This infrastructure must be capable of handling large-scale data and complex computations with high reliability and performance.</li><li>Improving ML Operations (MLOps): You will innovate and implement best practices in MLOps to streamline the development, deployment, and monitoring of ML models. This includes automating pipelines, ensuring model reproducibility, and facilitating seamless model versioning and rollout.</li><li>Cross-Functional Collaboration: You will collaborate with product managers, data scientists, and other engineering teams to understand their needs and translate them into ML platform capabilities. This collaborative approach ensures that the ML infrastructure effectively supports product features and business objectives.</li><li>Mentorship and Leadership: You will mentor junior engineers and peers, sharing your knowledge and expertise to promote a culture of technical excellence. Your leadership will help develop the team's skills and foster innovation.</li><li>Staying Ahead of the Curve: You will keep abreast of the latest developments in machine learning, data engineering, and cloud technologies. By staying informed about industry trends and challenges, you will ensure that Plaid's ML platform remains cutting-edge and competitive.</li></ul><p><strong>Qualifications:</strong></p><ul><li>5+ years of Software Engineering Experience</li><li>2+ years with Machine learning or developing machine learning platforms</li><li>Strong communication and architecture skills</li><li>Python experience and k8s experience</li></ul><p>$162,000 - $243,000 a year.</p>

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. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. #LI-RemoteThe Machine Learning Platform team at Plaid is at the forefront of transforming the financial technology landscape. Specializing in developing cutting-edge machine learning products, this team plays a crucial role in advancing transaction enrichment, credit, and risk management solutions. By leveraging consumer-permissioned financial data, the team enables Plaid and its partners to craft innovative financial services that cater to the evolving needs of consumers and businesses alike.As an Experienced Software Engineer on the Machine Learning (ML) Platforms team at Plaid, you will play a pivotal role in architecting and developing the core infrastructure that powers Plaid's machine learning initiatives. Your work will directly contribute to the innovation and effectiveness of ML products in areas such as transaction enrichment, credit evaluation, and risk assessment. If you're interested in helping build the state of art AI/ML solutions to unblock financial freedom for everyone, let's chat!Responsibilities:Architecting Scalable ML Infrastructure: You will design and develop scalable, efficient, and robust machine learning infrastructure that supports the lifecycle of ML models—from data ingestion and processing to training, evaluation, and deployment. This infrastructure must be capable of handling large-scale data and complex computations with high reliability and performance.Improving ML Operations (MLOps): You will innovate and implement best practices in MLOps to streamline the development, deployment, and monitoring of ML models. This includes automating pipelines, ensuring model reproducibility, and facilitating seamless model versioning and rollout.Cross-Functional Collaboration: You will collaborate with product managers, data scientists, and other engineering teams to understand their needs and translate them into ML platform capabilities. This collaborative approach ensures that the ML infrastructure effectively supports product features and business objectives.Mentorship and Leadership: You will mentor junior engineers and peers, sharing your knowledge and expertise to promote a culture of technical excellence. Your leadership will help develop the team's skills and foster innovation.Staying Ahead of the Curve: You will keep abreast of the latest developments in machine learning, data engineering, and cloud technologies. By staying informed about industry trends and challenges, you will ensure that Plaid's ML platform remains cutting-edge and competitive.Qualifications:5+ years of Software Engineering Experience2+ years with Machine learning or developing machine learning platformsStrong communication and architecture skillsPython experience and k8s experience$162,000 - $243,000 a year.

Experienced Software Engineer, Machine Learning Infrastructure - Plaid

United States

<div>
 <div>
  <div>
   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. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. #LI-Remote
  </div>
  <div></div>
  <div>
   <br> The Machine Learning Platform team at Plaid is at the forefront of transforming the financial technology landscape. Specializing in developing cutting-edge machine learning products, this team plays a crucial role in advancing transaction enrichment, credit, and risk management solutions. By leveraging consumer-permissioned financial data, the team enables Plaid and its partners to craft innovative financial services that cater to the evolving needs of consumers and businesses alike.
  </div>
  <div></div>
  <div>
   <br> As an Experienced Software Engineer on the Machine Learning (ML) Platforms team at Plaid, you will play a pivotal role in architecting and developing the core infrastructure that powers Plaid's machine learning initiatives. Your work will directly contribute to the innovation and effectiveness of ML products in areas such as transaction enrichment, credit evaluation, and risk assessment. If you're interested in helping build the state of art AI/ML solutions to unblock financial freedom for everyone, let's chat!
  </div>
 </div> 
 <div>
  <div>
   <h3 class="jobSectionHeader"><b>Responsibilities</b></h3>
   <ul>
    <ul>
     <li> Architecting Scalable ML Infrastructure: You will design and develop scalable, efficient, and robust machine learning infrastructure that supports the lifecycle of ML models—from data ingestion and processing to training, evaluation, and deployment. This infrastructure must be capable of handling large-scale data and complex computations with high reliability and performance.</li>
     <li> Improving ML Operations (MLOps): You will innovate and implement best practices in MLOps to streamline the development, deployment, and monitoring of ML models. This includes automating pipelines, ensuring model reproducibility, and facilitating seamless model versioning and rollout.</li>
     <li> Cross-Functional Collaboration: You will collaborate with product managers, data scientists, and other engineering teams to understand their needs and translate them into ML platform capabilities. This collaborative approach ensures that the ML infrastructure effectively supports product features and business objectives.</li>
     <li> Mentorship and Leadership: You will mentor junior engineers and peers, sharing your knowledge and expertise to promote a culture of technical excellence. Your leadership will help develop the team's skills and foster innovation.</li>
     <li> Staying Ahead of the Curve: You will keep abreast of the latest developments in machine learning, data engineering, and cloud technologies. By staying informed about industry trends and challenges, you will ensure that Plaid's ML platform remains cutting-edge and competitive.</li>
    </ul>
   </ul>
  </div>
 </div> 
 <div>
  <div>
   <h3 class="jobSectionHeader"><b>Qualifications</b></h3>
   <ul>
    <ul>
     <li> 5+ years of Software Engineering Experience</li>
     <li> 2+ years with Machine learning or developing machine learning platforms</li>
     <li> Strong communication and architecture skills</li>
     <li> Python experience and k8s experience</li>
    </ul>
   </ul>
  </div>
 </div> 
 <div>
  <div>
   $162,000 - $243,000 a year
  </div>
  <div>
    Target base salary for this role is between $162,000 and $243,000 per year. 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.
  </div>
 </div> 
 <div>
  <div>
   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!
  </div>
  <div></div>
  <div>
   <br> 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.
  </div>
 </div>
</div>
<div></div>

Experienced Software Engineer, Machine Learning Infrastructure

You need 5+ years in engineering, ML proficiency, experience in end-to-end data systems, big data tools, scalable architecture, strong software skills in Python, and collaboration across teams.

You will develop and optimize ML models, enhance infrastructure, debug production issues, and collaborate with teams to identify impactful opportunities for Plaid's AI/ML products.

Engineering

Data

<p>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. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New&nbsp;York, Washington D.C.,&nbsp;London&nbsp;and Amsterdam. #LI-Hybrid</p><p>Plaid’s Machine Learning team is building models that improve how millions of users understand and grow their financial lives. We're looking for machine learning engineers with experience applying state-of-the-art machine learning and modeling techniques -- including natural language processing, anomaly detection, optimization, and time series forecasting -- toward different product areas. We value not only technical know-how, but also creativity, user empathy, and teamwork.</p><p>You will be a machine learning modeler on the payments team focused on building and maintaining machine learning models to power products and platforms.</p><p><strong>Responsibilities</strong></p><ul><li>Hands-on develop, productionize, and operate Machine Learning models and pipelines to improve a diverse range of Plaid products.</li><li>Continuously proposing and developing new features to improve the AI/ML model performance.&nbsp;</li><li>Working with the ML infrastructure team to improve ML infrastructure that powers the end-to-end ML development lifecycle.&nbsp;&nbsp;</li><li>Debugging ML production issues and ensuring stable model serving.</li><li>Work collaboratively with cross-functional partners to identify opportunities for business impact, understand, refine, and prioritize requirements for AI/ML models, drive engineering decisions, and quantify impact.</li></ul><p><strong>Qualifications</strong></p><ul><li>5+ years of engineering experience.</li><li>Proficiency in machine learning algorithms and solid understanding of mathematics and statistics.&nbsp;</li><li>Experience in developing end to end data systems/products and productionizing AI/ML models.</li><li>Experience in well-known big data processing infrastructures, like Spark, Airflow, DBT, Hive, Presto, and etc.</li><li>Ability to architect software and ML systems at scale.</li><li>Solid software engineer skill in complex and multi-language systems. Code fluency in Python.</li><li>Experience in working with product, design, and backend engineering.</li></ul><p>$203,040 - $303,480 a year</p><p>Target base&nbsp;salary&nbsp;for this role is between $203,040 and $303,480&nbsp;per year. 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.</p><p>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!</p><p>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.</p>

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. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. #LI-HybridPlaid’s Machine Learning team is building models that improve how millions of users understand and grow their financial lives. We're looking for machine learning engineers with experience applying state-of-the-art machine learning and modeling techniques -- including natural language processing, anomaly detection, optimization, and time series forecasting -- toward different product areas. We value not only technical know-how, but also creativity, user empathy, and teamwork.You will be a machine learning modeler on the payments team focused on building and maintaining machine learning models to power products and platforms.ResponsibilitiesHands-on develop, productionize, and operate Machine Learning models and pipelines to improve a diverse range of Plaid products.Continuously proposing and developing new features to improve the AI/ML model performance. Working with the ML infrastructure team to improve ML infrastructure that powers the end-to-end ML development lifecycle.  Debugging ML production issues and ensuring stable model serving.Work collaboratively with cross-functional partners to identify opportunities for business impact, understand, refine, and prioritize requirements for AI/ML models, drive engineering decisions, and quantify impact.Qualifications5+ years of engineering experience.Proficiency in machine learning algorithms and solid understanding of mathematics and statistics. Experience in developing end to end data systems/products and productionizing AI/ML models.Experience in well-known big data processing infrastructures, like Spark, Airflow, DBT, Hive, Presto, and etc.Ability to architect software and ML systems at scale.Solid software engineer skill in complex and multi-language systems. Code fluency in Python.Experience in working with product, design, and backend engineering.$203,040 - $303,480 a yearTarget base salary for this role is between $203,040 and $303,480 per year. 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.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.

Experienced Machine Learning Engineer - Payments - Plaid

<div>
 <div>
  <div>
   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. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. #LI-Hybrid
  </div>
  <div></div>
  <div>
   <br> Plaid’s Machine Learning team is building models that improve how millions of users understand and grow their financial lives. We're looking for machine learning engineers with experience applying state-of-the-art machine learning and modeling techniques - including natural language processing, anomaly detection, optimization, and time series forecasting - toward different product areas. We value not only technical know-how, but also creativity, user empathy, and teamwork.
  </div>
  <div></div>
  <div>
   <br> You will be a machine learning modeler on the payments team focused on building and maintaining machine learning models to power products and platforms.
  </div>
 </div> 
 <div>
  <div>
   <h3 class="jobSectionHeader"><b>Responsibilities</b></h3>
   <ul>
    <ul>
     <li> Hands-on develop, productionize, and operate Machine Learning models and pipelines to improve a diverse range of Plaid products.</li>
     <li> Continuously proposing and developing new features to improve the AI/ML model performance.</li>
     <li> Working with the ML infrastructure team to improve ML infrastructure that powers the end-to-end ML development lifecycle.</li>
     <li> Debugging ML production issues and ensuring stable model serving.</li>
     <li> Work collaboratively with cross-functional partners to identify opportunities for business impact, understand, refine, and prioritize requirements for AI/ML models, drive engineering decisions, and quantify impact.</li>
    </ul>
   </ul>
  </div>
 </div> 
 <div>
  <div>
   <h3 class="jobSectionHeader"><b>Qualifications</b></h3>
   <ul>
    <ul>
     <li> 5+ years of engineering experience. </li>
     <li>Proficiency in machine learning algorithms and solid understanding of mathematics and statistics.</li>
     <li> Experience in developing end to end data systems/products and productionizing AI/ML models.</li>
     <li> Experience in well-known big data processing infrastructures, like Spark, Airflow, DBT, Hive, Presto, and etc.</li>
     <li> Ability to architect software and ML systems at scale.</li>
     <li> Solid software engineer skill in complex and multi-language systems. Code fluency in Python.</li>
     <li> Experience in working with product, design, and backend engineering.</li>
    </ul>
   </ul>
  </div>
 </div> 
 <div>
  <div>
   $203,040 - $303,480 a year
  </div>
  <div>
    Target base salary for this role is between $203,040 and $303,480 per year. 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.
  </div>
 </div> 
 <div>
  <div>
   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!
  </div>
  <div></div>
  <div>
   <br> 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.
  </div>
 </div>
</div>
<div></div>

Plaid

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