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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.
Our Revenue Specialist team at Plaid combines deep product and industry knowledge and is focused on bringing new Plaid solutions to an ever-broadening set of businesses. The team works in partnership with our Product and Go-To-Market (GTM) with shared ownership of solution adoption and revenue.
Your unique market knowledge will help our customers better understand our Fraud solutions and accelerate accelerate the adoption of the related products in the market, Your focus will vary depending on the stage of the product development lifecycle - you’ll be leading product pilots with early customers, and be specializing across the revenue team to accelerate the growth of a specified product to market. You will work closely with Sales, Account Management, Client Engineering, and Product Marketing to identify, sell and close deals specific to the Fraud space.
Responsibilities
- Responsible for the complete sales funnel for our Fraud products & features (building pipeline, selling, signing deals).
- Partner with Account Executives, Account Managers, Sales Engineers, Sales Leaders, Product Managers and Product Marketing to hit product and solution area revenue goals.
- Accelerate revenue growth for Plaid's Fraud Solutions.
- Responsible for authoring or updating the sales playbook that will enable scaling of early product sales to repeatable motion by scaled sales org (e.g. developing the GTM playbook, co-selling until product maturation).
- Scale and enable a sales process across many different customer types and sellers.
- Work cross-functionally to improve the client onboarding experience as they build with Plaid, collecting and translating customer and partner feedback into meaningful product insights for our Product, Marketing, and Engineering teams.
Qualifications
- 8+ years of work experience, with 5+ years of sales experience in a new-revenue or sales specialist role (quota carrying), or sales engineering role, and a strong track record of closing deals
- Deep experience and market knowledge within the Fraud, Risk, Identity Verification, KYC/AML, and Identity space
- Strong communication and presentation skills, and an ability to build relationships with prospects and customers, up to the C-suite
- Ability to sell a technical, complex solution to a business buyer
- Experience building a targeted sales plan to hit revenue goals across existing and new customers
- Strong collaboration skills and ability to work across a variety of internal stakeholders
- Excitement to work in a high-growth environment and to help build processes and scale product growth across the revenue team
- Desire to get (more) technical and the ability to learn the ins and outs of Plaid's APIs
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. If you need any assistance with your application or interviews due to a disability, please let us know at [email protected].
Please review our Candidate Privacy Notice here.
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
