Plaid

Analytics Engineer

• Own the dbt models and data marts that power Marketing analytics, activation, and reporting.
• Build, validate, and productionize predictive models (lead scoring, LTV, channel attribution, propensity) in partnership with Marketing and GTM stakeholders
• Partner with Marketing leadership on measurement frameworks, experiment design, and spend optimization — translating business questions into analytical answers
• Enable self-serve analytics through AI tools and well-documented semantic models
• Collaborate with ML, Data Engineering, and Ops teams to deliver best-in-class data infrastructure to Marketing

Senior Analytics Engineer

Sales Development Rep

• Acting as a key member of the Plaid GTM Team, supporting several Account Executives hunting new business
• Liaising with Marketing to provide feedback on campaigns and design new efforts
• Identifying prospects and building pipeline through outbound campaigns
• Helping new clients get started with Plaid and answering questions about our products
• Identifying the most promising verticals to help drive increased revenue opportunity

Sales Development Representative

Journalist

• Break News & Own the Beat: Track the fast-moving worlds of banking, payments, crypto and venture capital to break scoops and deliver sharp, definitive news coverage.
• On-the-Ground Source Cultivation: Aggressively build a network of industry insiders, founders, regulators and executives. This isn't a passive role, you'll be expected to actively get out, meet people in the real world, and build trust.
• Deep-Dive Enterprise Reporting: Pitch and execute high-impact features, regulatory deep dives and analytical pieces that explain *why* a trend matters.
• Newsletter & Core Product Growth: Contribute daily/weekly reporting to our core digital products, mastering our distinct, sharp and authoritative voice.

Reporter – This Week in Fintech

Financial Planning and Analysis

• Maintaining Plaid’s financial models and developing analytical models used to guide the company's growth trajectory
• Developing and maintaining department budgets in collaboration with business partners to help drive forward capital allocation and profitability goals
• Evaluating areas of growth and investment for Plaid by assessing total addressable market, revenue opportunities, unit economics, and investment costs
• Collaborating with business leaders to provide analytical support and frameworks to optimize decision making
• Optimizing financial KPIs and building financial metrics dashboard to update the Executive team and improve internal communication and transparency
• Preparing materials to internal and external stakeholders on company performance
• Leading special projects by business partnering with various stakeholders to improve financial health of the company
• Benchmarking Plaid’s operational and financial metrics against peers
• Helping recruit a world-class Strategic Finance team at Plaid

Product Strategic Finance

Product Manager

• Own and optimize the self-serve funnel end to end, from the onboarding flow through go-live and scaling
• Drive scalable SMB and long-tail acquisition: grow new activated customers, reduce onboarding friction, and improve revenue efficiency
• Build the upsell/cross-sell motion, surfacing intelligent recommendations self-serve or as qualified opportunities for GTM
• Partner with GTM to understand the sales and account management flows, find where handoffs break down, and streamline for greater throughput
• Use funnel analytics, segmentation, and experimentation to find, size, and prioritize the highest-leverage bets
• Partner cross-functionally with Web, Engineering, Design, BI/DS, Marketing, and Sales to ship and measure impact

Product Manager, Growth

Data Scientist

• Own the feature roadmap for Protect: what we build, how we validate it, and how we measure coverage and fill rates
• Build and manage the labeling pipeline as a product, including customer retros, data partnerships, and the label feedback loop into model training
• Define the product requirements for fraud vector scores, including signal selection, precision/recall targets, and customer-facing output design
• Partner with data scientists and MLEs as a day-to-day collaborator, not just a requester. Translate between model needs and product requirements in both directions
• Work with GTM and Protect PM on how attribute improvements and new scores translate into customer-facing value propositions.

Senior Analytics Engineer

Sales Development Representative

Reporter – This Week in Fintech

Product Strategic Finance

Product Manager, Growth

Product Manager, Fraud Data