Plaid

About the Company

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.

Listed Jobs

Company Name

Plaid

Job Title

Senior Staff Technical Program Manager - AI

Job Description

Job title: Senior Staff Technical Program Manager – AI Role Summary: Lead the planning, execution, and scaling of Plaid’s AI initiatives across engineering, product, legal, compliance, and GTM functions. Translate AI strategy into actionable roadmaps, manage cross‑functional programs, and ensure responsible, ethical AI development while driving time‑to‑market and operational excellence. Expectations: - Own end‑to‑end delivery of high‑impact AI projects from pilots to production features. - Convert broad AI strategy into clear, measurable roadmaps and execution plans. - Build and maintain a program management framework that aligns teams, sets guardrails, and establishes execution rhythms. - Identify and mitigate cross‑team bottlenecks, risks, and misalignments in fast‑moving, ambiguous environments. - Partner with Legal, Compliance, and Security to enforce responsible AI practices and standards. - Track AI ecosystem trends, recommend relevant technologies, and foster repeatable execution patterns for organization‑wide adoption. Key Responsibilities: 1. Drive execution of prioritized AI initiatives, coordinating multi‑disciplinary teams. 2. Translate AI strategy into actionable roadmaps with key performance indicators. 3. Design and operate a scalable program model to align teams on goals and execution cadence. 4. Resolve cross‑functional bottlenecks, risks, and misalignments, adding structure to ambiguity. 5. Collaborate with Legal, Compliance, and Security to ensure responsible AI development. 6. Monitor AI industry trends, surface new technologies, and recommend adoption pathways. 7. Facilitate knowledge sharing and build repeatable execution frameworks for scaling AI. Required Skills: - 10–15+ years of experience in technical program management, software engineering, product management, or analytical roles. - Proven success leading complex, cross‑functional programs in fast‑moving or emerging technology areas. - Strong technical acumen – ability to work closely with engineering on system architecture and data infrastructure. - Exceptional communication and leadership abilities; demonstrable influence across diverse stakeholder groups. - Ownership mindset; adept at navigating ambiguity, driving clarity, and delivering results. Required Education & Certifications: - Bachelor’s degree in Computer Science or a related technical discipline (preferred). - Prior experience in cloud infrastructure, security, testing, reliability, or change management programs is a plus. - Familiarity with AI/ML technologies and their applications in fintech is preferred. ---

San francisco, United states

Hybrid

Senior

21-09-2025

Company Name

Plaid

Job Title

Senior Staff Software Engineer, API & Developer Experience

Job Description

**Job Title:** Senior Staff Software Engineer, API & Developer Experience **Role Summary:** Leads the design, development, and evolution of Plaid’s core API platform, ensuring scalable, high‑quality experiences for internal engineers and external developers. Provides technical direction, mentorship, and cross‑functional collaboration to deliver intuitive, reliable API services and developer tools. **Expectations:** - 6‑10+ years of software engineering experience with a track record of owning and scaling APIs. - Demonstrated ability to influence engineering standards, design patterns, and versioning strategies. - Strong communication skills to convey design rationale and developer insights to engineers, product managers, and leadership. - Commitment to mentor and grow engineering talent, particularly in API development. - Passion for delivering excellent developer experiences and supporting AI‑first integration use cases. **Key Responsibilities:** - Architect and build the next‑generation Plaid API platform, including versioning and evolution frameworks. - Define and enforce system‑wide principles, patterns, and best practices for API development. - Partner with product, design, and other engineering teams to ship high‑quality, user‑friendly API experiences. - Act as technical lead for Developer Experience initiatives, including sandbox environments and AI‑centric tooling. - Mentor engineers on API design, implementation, and maintenance. - Advocate for developer needs across the organization, shaping roadmap and platform strategy. **Required Skills:** - Expertise in designing, building, and maintaining large‑scale APIs and developer platforms. - Proficiency in modern backend languages and frameworks (e.g., Go, Java, Python, Node.js). - Strong grasp of API versioning, authentication, rate limiting, and observability. - Experience with API documentation, SDK generation, and integration tooling. - Excellent written and verbal communication; ability to articulate complex technical concepts clearly. - Empathy for developers and a history of delivering “lovable” developer experiences. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Software Engineering, or a related technical field (or equivalent practical experience). - Advanced degree or relevant certifications (e.g., AWS, Azure, Google Cloud) are a plus but not mandatory.

San francisco, United states

Hybrid

Senior

28-09-2025

Company Name

Plaid

Job Title

Data Scientist - Credit

Job Description

Job title: Data Scientist - Credit Role Summary: Data scientist responsible for designing, developing, and maintaining credit risk and underwriting models using advanced machine learning techniques. Works with product, engineering, and client teams to translate data insights into actionable risk mitigation strategies and improve the performance of production ML systems. Expactations: - 1‑4 years of professional data science experience, with a focus on credit risk. - Ability to deliver data‑driven decisions and measurable impact on product and business outcomes. - Strong collaboration with cross‑functional teams and client stakeholders throughout the product lifecycle. - Proactive identification of emerging risk vectors and continuous model improvement. Key Responsibilities: - Partner with pre‑ and post‑sales clients to evaluate product usage and devise risk mitigation strategies. - Diagnose and triage model performance issues; recommend and implement improvements. - Analyze Plaid’s data to discover new credit risk signals and develop features for risk models. - Build and maintain data pipelines (e.g., DBT) to automate ETL processes for model training and scoring. - Create metrics, alerts, and dashboards to monitor production model health and performance. - Contribute to the design and testing of underwriting policies and credit decisioning workflows. Required Skills: - Proficiency in machine learning methods including NLP, anomaly detection, optimization, and time‑series forecasting. - Hands‑on experience with credit risk modeling, underwriting, and policy development. - Strong SQL and Python (or R) skills; familiarity with data pipeline tools such as DBT, Airflow, or similar. - Knowledge of the lending lifecycle (marketing, acquisition, customer management, collections). - Ability to communicate technical concepts to non‑technical stakeholders. - Experience with cloud platforms (AWS, GCP, Azure) and model deployment frameworks is a plus. Required Education & Certifications: - Bachelor’s degree in Computer Science, Statistics, Applied Mathematics, Economics, or related quantitative field; Master’s preferred. - Relevant certifications (e.g., CFA, FRM, AWS Machine Learning) are advantageous but not required.

San francisco, United states

Hybrid

Fresher

18-10-2025

Company Name

Plaid

Job Title

Data Scientist Machine Learning - Credit

Job Description

**Job Title** Data Scientist – Machine Learning (Credit) **Role Summary** Leverage quantitative analysis, data mining, and machine learning to deliver credit‑related insights and models that drive product and business decisions. Work collaboratively with product, engineering, and regulatory teams to translate data signals into actionable solutions within a regulated financial environment. **Expectations** - 1–4 years of industry experience in a data science role focused on financial services or credit. - Proven ability to design, prototype, and deploy machine‑learning models that meet regulatory and business requirements. - Strong communication skills to present findings, influence decisions, and advocate for a data‑first culture across the organization. **Key Responsibilities** - Conduct exploratory data analysis and develop visualizations to uncover actionable signals. - Engineer features and build predictive models (classification, clustering, NLP, time‑series forecasting, optimization) tailored to credit use cases. - Evaluate and iterate on existing ML systems, ensuring performance, compliance, and scalability. - Present analytical insights and recommendations to product and engineering teams, shaping feature development and prioritization. - Contribute to long‑term data‑science roadmap decisions, defining iterative practices and standards. - Champion a data‑driven decision‑making mindset throughout the organization. **Required Skills** - Advanced SQL and Python programming for data manipulation, modeling, and automation. - Familiarity with AWS cloud services (S3, Redshift, SageMaker, Lambda) for data storage, processing, and model deployment. - Expertise in modern ML techniques: supervised/unsupervised learning, natural language processing, optimization, and time‑series analysis. - Experience building models in a regulated industry and understanding of compliance requirements. - Ability to code, test, and iterate independently. - Strong statistical background for hypothesis testing, model validation, and performance evaluation. - Excellent communication and collaboration skills across cross‑functional teams. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Statistics, Engineering, Economics, or a closely related field, or equivalent work experience. - No specific certifications required.

New york, United states

Hybrid

Fresher

22-10-2025