Engineering Manager - Security

Plaid is looking for an Analytics Engineer in San Francisco to help shape how data informs business and product decisions. This position centers on transforming raw data into clear, actionable insights that support growth and improve product outcomes. Role overview This role involves working closely with multiple teams to identify important metrics and analyze trends. Expect to translate complex datasets into findings that can guide strategic choices across the company. What you will do Collaborate with different teams to define and track key business and product metrics Analyze data to uncover patterns and opportunities for improvement Present findings that help drive product optimization and business growth Requirements Experience working with data to support decision-making Ability to communicate complex analyses in a clear, actionable way Comfort working cross-functionally with technical and non-technical teams

As a People Partner at Plaid, you will play an essential role in fostering a vibrant and inclusive workplace culture. You will work closely with various teams to align HR strategies with business goals, ensuring our employees are supported and engaged. Your expertise in employee relations, talent management, and organizational development will be pivotal in driving our mission to empower innovators and create a financial system that works for everyone.

Join Plaid, a pioneering force in open finance, where our Product team is dedicated to building robust systems that empower millions of developers and businesses. We define our development strategies, guide their execution, and ensure excellence in delivery. This founding role in Product Operations will directly report to the Head of Business Operations, who is accountable to Plaid’s visionary founder and CEO. As we evolve into a multi-product organization, we are committed to enhancing our Product operations by clarifying priorities, ensuring consistent execution, and delivering superior quality in our product work.As our inaugural Product Operations Lead, you will be responsible for establishing and managing the operational framework for the Product organization. Collaborating closely with teams across Product, Engineering, Design, and Product Marketing, you will develop the systems, processes, and standards that enable teams to consistently execute high-quality work. Your hands-on approach and ability to operate from first principles will be essential in defining a long-term strategy for your area of expertise.

Join our dynamic team at Plaid as a Senior Visual Designer specializing in web design. In this role, you will be instrumental in crafting visually stunning and user-centric web experiences. Your creativity and expertise will drive our design initiatives, ensuring our digital products are not only functional but also aesthetically pleasing.

We are seeking a visionary Strategic Finance Lead to drive our Go-To-Market (GTM) initiatives at Plaid. In this pivotal role, you will partner with cross-functional teams to develop strategic financial frameworks, enhance operational efficiencies, and support the growth objectives of our organization. Your analytical expertise will guide decision-making processes and ensure that we remain at the forefront of the financial technology landscape.

Plaid Inc. develops tools that enable developers to build financial applications, making it easier for users to connect their bank accounts and manage their finances. The platform connects to more than 12,000 financial institutions across the US, Canada, the UK, and Europe. Plaid partners with organizations such as Venmo, SoFi, major banks, and many Fortune 500 companies. Founded in 2013, Plaid is headquartered in San Francisco, with additional offices in New York, Washington D.C., London, and Amsterdam. Role overview The Sales Engineer - Credit position supports prospects and customers during the pre-sales process. This role blends technical knowledge with a strong focus on customer needs, helping clients understand and implement Plaid’s products to address business challenges. Collaboration with the Enterprise Sales team is central, as the Sales Engineer acts as the technical lead throughout sales cycles and ensures a smooth transition to post-sale teams. What you will do Serve as a technical advisor for prospects and customers evaluating Plaid’s Credit products Work with Account Executives to advance deals by answering technical questions and resolving objections Design and propose solutions tailored to client needs using Plaid’s product suite Support the transition from pre-sales to post-sale, collaborating with account teams to drive adoption of new products among existing clients What helps in this role Background in the Fintech sector or strong knowledge of financial technology trends Ability to communicate complex technical topics to both technical and non-technical stakeholders Experience working with sales teams and developing solutions that meet client requirements Comfort engaging with a wide range of clients, including large enterprises and financial institutions Location This role is based in San Francisco.

Join Mixpanel as a Senior Analytics Engineer and play a pivotal role in transforming raw data into actionable insights. You will collaborate with various teams to design and implement robust analytics solutions that drive data-driven decision-making across the organization.

At Plaid, we envision a future where personal finance interactions are transformed for the better. Our commitment is to facilitate this evolution by developing innovative tools and experiences leveraged by countless developers to craft their unique products. Our platform is the backbone for millions, enabling them to achieve a healthier financial lifestyle. We collaborate with leading companies such as Venmo, SoFi, numerous Fortune 500 firms, and major banking institutions to simplify the connection between users' financial accounts and their preferred applications and services. Our expansive network spans over 12,000 financial entities across the US, Canada, the UK, and Europe. Established in 2013, Plaid is headquartered in San Francisco, with additional offices in New York, Washington D.C., London, and Amsterdam.Plaid’s mission is to empower financial freedom for all by simplifying the movement of money and ensuring secure access to financial data. As a Full Stack Software Engineer, you will design and construct the systems that facilitate connections for millions of users with their finances. Your role will encompass the entire stack, from developing robust backend services and APIs to crafting user-friendly applications that bring these systems to life. You will work collaboratively with fellow engineers, product managers, and designers to deliver products that enhance the accessibility and transparency of financial services. At Plaid, engineers are encouraged to take initiative early in their careers, advance swiftly, and witness the impact of their contributions reaching millions.

At Discord, we're more than just a communication platform. With over 200 million active users each month, we empower communities to connect and engage, especially in the world of gaming. Our platform supports more than 90% of users who love gaming, contributing to an astonishing 1.5 billion hours spent in our environment every month. As we shape the future of gaming, we're committed to enhancing the social experience of gaming by making interactions before, during, and after gameplay seamless and enjoyable.Join Our Team! Discord is on the lookout for a dedicated and innovative Data Engineer to be a pivotal part of our Data team! In this role, you will collaborate extensively with our Data Science and Engineering teams to create and maintain crucial high-leverage datasets that drive our analytical tools, models, and overall strategies. Your contributions will directly influence how we identify opportunities for growth, measure our success, and make informed decisions across various teams, including our safety and growth initiatives. If you are excited about leveraging data to create impactful solutions and thrive in a collaborative environment, we would love to hear from you!

At Plaid, we envision a future where people's financial interactions are profoundly enhanced. We are committed to driving this change by creating innovative tools and experiences that empower thousands of developers in building their own products. Plaid supports the financial well-being of millions by facilitating seamless connections between users and their financial accounts with the applications they rely on. Our network integrates with over 12,000 financial institutions across the US, Canada, the UK, and Europe. Established in 2013, Plaid is headquartered in San Francisco, with additional offices in New York, Washington D.C., London, and Amsterdam.The Platform Engineering division at Plaid consists of diverse teams focused on essential infrastructure, data management, storage solutions, privacy, and enhancing developer efficiency. Together, these teams ensure that our technology platform remains scalable, robust, and secure to support our rapid expansion. As a Platform Engineer, you will play a vital role in designing, developing, and maintaining the foundational infrastructure and internal platforms that empower all engineering teams at Plaid to innovate swiftly and securely. You will collaborate cross-functionally with product engineering teams to launch new features and uphold operational excellence throughout each product's lifecycle.

Join our team as a Staff Software Engineer specializing in Online Storage at Plaid! We are seeking a talented engineer who is passionate about building reliable, scalable, and efficient online storage solutions. In this role, you will design and implement systems that handle vast amounts of data while ensuring high performance and security.As a key member of our engineering team, you will collaborate with cross-functional teams to understand requirements and deliver innovative solutions. Your expertise will help shape our data storage architecture and influence the direction of our technology stack.

About UsAt Speak, we're on a mission to revolutionize language learning.Learning a language can transform lives, unlocking new cultures, careers, and communities. With two billion people globally eager to learn a language, traditional one-on-one tutoring remains elusive and has seen little innovation in decades. Speak is creating an AI-powered, human-level tutor that fits in your pocket: a conversation-focused experience that encourages learners to speak, receive immediate feedback, and progress through thoughtfully crafted lessons. This leads to a comprehensive journey from beginner to confident speaker in multiple languages.Originally launched in South Korea in 2019, Speak has quickly risen to become the leading language learning app, now serving learners across various markets and offering over 15 languages. As one of the world’s top AI companies, we have raised over $150 million in funding from prestigious investors like OpenAI, Accel, Founders Fund, and Khosla Ventures, with a diverse team located in San Francisco, Seoul, Tokyo, Taipei, and Ljubljana.About This RoleAs a Senior Analytics Engineer at Speak, you will be instrumental in shaping the future of digital language education while advancing our mission of making language proficiency attainable for millions around the globe.Your primary focus will be to empower every team member to leverage data for informed decision-making. Your responsibilities will include establishing reliable datasets, defining key performance metrics, and managing the analytical tools utilized across the organization. You will collaborate closely with product, engineering, and analytics teams to ensure our platform, driven by state-of-the-art technology, is robust and provides actionable insights to improve user engagement and learning outcomes.What You'll Be DoingConstruct and Optimize Data Infrastructure: Oversee and implement scalable data pipelines using Airflow for orchestration and dbt for transformation to guarantee efficient data flow and processing.Facilitate Data-Driven Decision-Making: Collaborate with cross-functional teams to develop data models and metrics that support critical business analyses.Empower Stakeholders: Continuously assess and enhance our tool stack to ensure that accessing data-driven answers is as seamless as possible.Collaboration and Systems Thinking: As a key member of our team, you will partner with product managers, analysts, and fellow engineers to design data solutions and processes that drive results.

At Plaid, we envision a future where financial interactions are seamless and intuitive. Our mission is to drive this evolution by crafting powerful tools and experiences that developers leverage to create impactful financial products. With our technology, millions of individuals can manage their finances more effectively. Partnering with renowned companies like Venmo, SoFi, and several Fortune 500 firms, we simplify the process of connecting financial accounts to the applications people depend on. Our network encompasses over 12,000 financial institutions across the US, Canada, the UK, and Europe. Established in 2013, our headquarters is in San Francisco, complemented by offices in New York, Washington D.C., London, and Amsterdam.The advent of AI and intelligent systems marks a pivotal shift in technology, following the eras of mainframes, personal computing, the internet, and mobile devices. We believe that AI will fundamentally transform the FinTech sector—altering consumer finance management, application development, and operational dynamics across businesses.Plaid's Role in the AI-Driven FinTech LandscapePlaid is uniquely positioned to become the backbone of financial data and insights for AI-powered applications in this rapidly evolving FinTech ecosystem.We advocate for consumers to manage their finances effortlessly through conversational AI interfaces. Our commitment extends to ensuring a reliable consent and authorization manager for enhanced privacy and security. We envision a world where identity verification and fraud prevention in AI solutions are seamlessly integrated for users. The demand for such innovations is growing.Leading AI companies, significant fintechs, and customer support platforms are actively integrating Plaid into their AI-driven products and solutions.AI-Enhanced Customer Experiences at PlaidThe rapid advancement of model intelligence presents a unique opportunity for Plaid to reinvent our operations and customer interactions, optimizing the overall experience.Our initial forays into AI-driven customer support have yielded substantial business benefits, demonstrating our commitment to innovative solutions that elevate customer satisfaction.

The League is seeking a strategic and dynamic Head of Analytics to lead our analytics department in San Francisco. This pivotal role involves overseeing junior analytics teams while ensuring that various departments within the business comprehend their operational health, discover growth levers, and pinpoint optimization opportunities. As the Head of Analytics, you will spearhead initiatives that enhance business performance through the utilization of existing and novel data sources and methodologies. This role requires a hands-on approach to tackle complex analytical challenges alongside Engineering, Product, and Marketing teams, often serving as the representative for both Analytics and Product Operations.Key Responsibilities:Team Development: Identify essential roles, attract talent, select candidates that align with our culture, and secure competitive hires.Team Management: Foster a capable and enthusiastic team aligned with high-impact projects. Support career growth for analysts and business intelligence engineers, ensuring they recognize their contributions and understand complex statistical concepts.Work Guidance: Direct efforts across marketing, operations, and product analytics, including LTV predictions, operational metrics, user segmentation, and AB testing best practices.Technology Leadership: Advocate for technological investments that position analytics as a strategic advantage, including business intelligence tools and unified customer data views.Cross-Departmental Collaboration: Work closely with leadership to ensure data-driven decision-making across all business units.

At Plaid, we believe in the power of data-driven decision-making. Our data culture demands robust and scalable data systems that ensure accuracy and completeness. As a Senior Software Engineer focusing on Data Infrastructure, you will play a pivotal role in empowering teams across engineering, product, and business sectors to swiftly and securely extract valuable data insights. Your work will directly enhance our ability to serve customers effectively. You will be responsible for building and optimizing our data and machine learning infrastructure, allowing Plaid engineers to innovate and iterate on products built on consumer-permissioned financial data. Our Data Infrastructure engineers are experts in Data Warehousing, Data Lakehouse architecture, Spark, Workflow Orchestration, and Streaming technologies. You will enhance our existing data pipelines for performance and cost efficiency while creating intuitive abstractions that simplify the development process for other engineers at Plaid.

Join Plaid as a Senior Software Engineer specializing in AI Applications, where you'll be at the forefront of technology, working on innovative solutions that redefine how businesses connect with financial services. In this role, you will design, develop, and deploy cutting-edge AI applications that enhance user experiences and streamline operations.

At Plaid, we envision a future where financial interactions are seamless and intuitive. We are committed to driving this evolution by crafting innovative tools and experiences that empower thousands of developers to build their own applications. Our platform supports millions of users in achieving healthier financial lives by connecting their financial accounts with the apps and services they love. Collaborating with industry leaders like Venmo, SoFi, numerous Fortune 500 companies, and major banks, Plaid's extensive network encompasses over 12,000 financial institutions across the United States, Canada, the UK, and Europe. Established in 2013 and headquartered in San Francisco, we also have offices in New York, Washington D.C., London, and Amsterdam. #LI-HybridAs a Senior Data Engineer, you will play a pivotal role in our Data Engineering team, which is focused on developing robust golden datasets to enhance our insights-driven product offerings. Data-driven decision-making is at the heart of Plaid's culture, and your expertise will help us scale our data systems while ensuring data accuracy and integrity. You will provide essential tooling and guidance to various teams across engineering, product, and business, enabling them to access and utilize data effectively. Our engineers rely heavily on SQL and Python to create data workflows, employing tools such as DBT, Airflow, Redshift, ElasticSearch, Atlanta, and Retool for orchestrating data pipelines and defining workflows. Collaborating closely with engineers, product managers, business intelligence, and data analysts, you will contribute to shaping Plaid's data strategy and fostering a data-first mindset. We thrive on an engineering culture that values individual contributions, encouraging bottom-up ideation and empowering our talented team. We seek engineers passionate about making a meaningful impact for our users and customers while growing together as a cohesive team, delivering MVPs, and continuously improving our processes.In this high-impact position, you will empower business leaders to make faster, more informed decisions based on the datasets you create. You will have the opportunity to define the ownership and scope of internal datasets and visualizations across Plaid, an area we aim to develop further by establishing SLAs. This role presents a unique chance to enhance your technical skills and learn best practices from our strong Data Engineering team and the broader Data Platform team. You will collaborate extensively across all teams at Plaid, from Engineering to Product to Marketing and Finance, forging strong cross-functional partnerships.

At Plaid, we envision a future where financial interactions are significantly enhanced. Our mission is to empower this evolution by creating innovative tools and experiences that developers harness to craft their own applications. Plaid is the backbone for millions seeking to achieve better financial well-being, collaborating with a diverse range of companies, including Venmo, SoFi, numerous Fortune 500 enterprises, and major banking institutions. Our expansive network connects over 12,000 financial entities across the United States, Canada, the United Kingdom, and Europe. Established in 2013, Plaid is headquartered in San Francisco, with offices in New York, Washington D.C., London, and Amsterdam.

At Plaid, we envision a future where individuals engage with their financial lives in transformative ways. Our mission is to empower this evolution by developing innovative tools and seamless experiences that thousands of developers leverage to build their unique products. Plaid serves as the backbone for millions striving for better financial health, partnering with leading companies like Venmo, SoFi, numerous Fortune 500 firms, and major banks to simplify how users connect their financial accounts to their favorite applications. With a network that spans over 12,000 financial institutions across the US, Canada, UK, and Europe, Plaid is at the forefront of the fintech industry. Established in 2013, our headquarters is located in San Francisco, complemented by offices in New York, Washington D.C., London, and Amsterdam.The Network Value Data Science team is pivotal in shaping Plaid’s industry-leading fintech consumer network by enhancing access, authorization, and usability of our users' financial data. Our team collaborates closely with product teams to drive objectives and key results (OKRs) while executing on product roadmaps. We excel at transforming ambiguous inquiries into actionable analyses, serving as analytical thought partners throughout the organization, identifying opportunities to enhance our product offerings, and advocating for a data-driven approach to decision-making.As a Data Scientist focusing on Network Enablement Access (NEA), you will play a crucial role in expanding the industry-leading fintech consumer network. Your responsibilities will include improving access to, authorization for, and usability of Plaid users' financial footprints. You will collaborate closely with embedded teams to support product goals and roadmaps, ensuring that Plaid consistently delivers trusted, innovative, and scalable solutions that empower consumers to utilize their financial data with confidence.