Multithread effectively and personalize outreach to convert deals faster
Elevate social presence and drive business growth from social media
Identify and prioritize high-intent leads, and improve sales effectiveness
Find and connect with ICP attendees, and improve event outcomes
Teilyn Tigre is an experienced Executive Assistant to the CEO at Flatfile, based in Oakland, California. With a background in education and project coordination, she brings a diverse skill set to her current role. Prior to Flatfile, Teilyn worked as a Recruiting Coordinator at Flatfile Inc. and as an Educator at Education for Change Public Schools. Her experience also includes roles at Somaly Mam Foundation and CBS Radio. Teilyn holds degrees from Tulane University, Saint Mary's College of California, and San Francisco State University.
Teilyn Tigre's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Providing executive support to the CEO at Flatfile, managing calendars, coordinating meetings, and ensuring smooth operations.
Served as a 2nd Grade Teacher and School Culture Lead at Achieve Academy within Education for Change Public Schools, contributing to student development and school culture.
Assisted with the development and launch of a volunteer program "Project Futures Global" at the Somaly Mam Foundation.
Tulane University - Year 2011
Saint Mary's College of California - Year 2014
San Francisco State University - Year 2009
Highperformr Signals uncover buying intent and give you clear insights to target the right people at the right time β helping your sales, marketing, and GTM teams close more deals, faster.
Flatfile is a data onboarding platform that helps businesses import and validate customer data. It simplifies the process of collecting, cleaning, and transforming data, making it easier for companies to integrate data into their systems. Flatfile provides a user-friendly interface, automated data mapping, and powerful validation rules, reducing errors and saving time for data teams.
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