Stephanie Rogers

Stephanie Rogers Email and Phone Number

Product Lead, AI and Growth @ Cambly Inc.
California, United States
Stephanie Rogers's Location
San Francisco Bay Area, United States, United States
Stephanie Rogers's Contact Details
About Stephanie Rogers

Director of Product at a small startup leading all product functions including product management, product design, and product research.I have been able to transition from a product manager with killer execution skills to a product leader who focuses on strategy and building teams. My experience ranges from consumer to enterprise, machine-learning engineering to UX design, and iterative features through A/B testing to entire products built from scratch. I was formerly a product lead (managing 3 product managers) at Pinterest, where I led a company-wide strategic initiative on shopping. I had the opportunity to shape and grow the shopping experience from the ground up at Pinterest, starting from scratch to become one of the most significant company-wide initiatives post-IPO.

Stephanie Rogers's Current Company Details
Cambly Inc.

Cambly Inc.

View
Product Lead, AI and Growth
California, United States
Website:
cambly.com
Employees:
3041
Stephanie Rogers Work Experience Details
  • Cambly Inc.
    Product Lead, Ai And Growth
    Cambly Inc.
    California, United States
  • Cambly Inc.
    Product Lead, Ai & Growth
    Cambly Inc. Aug 2023 - Present
    San Francisco, Ca, Us
    • Led the creation of 0->1 AI self-study features including a proficiency test, AI news, and a roleplay chatbot to practice English verbally• Managed a B2C growth team to drive subscription, engagement, and retention growth
  • Echo Ai
    Head Of Product
    Echo Ai Mar 2021 - Aug 2023
    San Francisco, California, Us
    • Managed multiple organizations and functions under the product team including product management, product design, product analytics, and product user research • Spearheaded the product pivot to Conversation Intelligence which included automating Quality Assurance scoring and feedback• Hired and leveled up leaders in each discipline (data, design, UXR) as well as directly managed the entire PM team
  • Higher Ground Labs
    Ai Product Consultant
    Higher Ground Labs Aug 2020 - Nov 2020
    Chicago, Il, Us
    • PM for the official Joe Biden App: Vote Joe, a peer-to-peer outreach volunteer product• Helped to ideate and lead zero-to-one features such as peer-to-peer recommendations and classifying people as potential swing voters for better targeting
  • Pinterest
    Product Lead, Recommendations
    Pinterest Sep 2017 - Apr 2020
    San Francisco, California, Us
    • Managed a small team of product managers • Led a team from scratch to one of the company's most significant product initiatives post-IPO including defining organic shopping strategy, setting company-wide OKRs, and leading shopping initiatives across multiple teams
  • Pinterest
    Senior Product Manager
    Pinterest Nov 2015 - Oct 2017
    San Francisco, California, Us
    • Functional PM for related pins; a recommender system that powers over 40% of total user engagement • Worked with 3 teams to ship feature and quality improvements for recommendations• Cross-functional PM for Shopping at Pinterest; primarily frontend user interface (mobile and web), as well as backend distribution and signals• Spearheaded shopping innovation that led to an incremental +90% product impressions growth in under 3 months• Directly responsible for end-to-end features such as shop the look, shop results in search, shop your board, and shopping recommendations• Led a cross-functional initiative that lead to an incremental +10% Y/Y impression growth in 2 months
  • Pinterest
    Software Engineer
    Pinterest May 2014 - Nov 2015
    San Francisco, California, Us
    • Built internal data products end-to-end from scratch• Worked on ranking, candidate generation, and quality improvements for recommendations• Owned the localization and activation of content for related pins at Pinterest
  • Uc Berkeley
    Research Assistant
    Uc Berkeley Jun 2011 - May 2014
    Berkeley, Ca, Us
    I have participated in various research projects (see below) over the course of the last three years. My past research has been in machine learning applied to security solutions, but changed to involve machine learning in improving education and more generally business decisions. Most predominantly I use Python scripting as well as web application frameworks to build data solution tools.
  • Uc Berkeley
    Undergraduate Student Intructor
    Uc Berkeley May 2011 - Jun 2012
    Berkeley, Ca, Us
    I delivered weekly discussion and lab sections educating beginning computer science students. I was apart of the process for developing new teaching material for a course undergoing significant change ­ in Fall 2011, the course was taught in a new programming language for the first time in over fifteen years. I collaborated with other teaching staff to create exam and homework questions, and graded exams.
  • Palantir Technologies
    Forward Deployed Software Engineer Intern
    Palantir Technologies May 2013 - Aug 2013
    Denver, Colorado, Us
    Developed a tool which predicted fraudulent activity for doctor prescription. Essentially creating a scoring metric, which would indicate the chances that this activity was fraudulent in some way, allowing a user to further inspect it.
  • Linkedin
    Software Engineering Intern
    Linkedin May 2012 - Aug 2012
    Sunnyvale, Ca, Us
    Front-end web development on LinkedIn's website. I built a prototype from the ground up for a new application for LinkedIn, which involved the complete development cycle - design, review, development.
  • Imperva
    Research Assistant
    Imperva May 2011 - Sep 2011
    San Mateo, California, Us
    I was a contributing author in Imperva's Web Application Attack Report, where I classified attacks by determining categorization rules based off of manual analysis. I used statistical tools and data mining methods to look for patterns in the identified web attacks, and applied this work to and monitored more than 10 million individual attacks across 30 applications.

Stephanie Rogers Skills

Python Computer Science Java Latex Algorithms Html Data Mining Artificial Intelligence Programming Software Engineering Web Development Data Analysis Machine Learning Software Development Databases Hive Hadoop Amazon S3 Sql Spark Elasticsearch D3.js Reactjs Web Applications

Stephanie Rogers Education Details

  • University Of California, Berkeley
    University Of California, Berkeley
    Electrical Engineering And Computer Science
  • University Of California, Berkeley
    University Of California, Berkeley
    Computer Science

Frequently Asked Questions about Stephanie Rogers

What company does Stephanie Rogers work for?

Stephanie Rogers works for Cambly Inc.

What is Stephanie Rogers's role at the current company?

Stephanie Rogers's current role is Product Lead, AI and Growth.

What is Stephanie Rogers's email address?

Stephanie Rogers's email address is sr****@****ley.edu

What is Stephanie Rogers's direct phone number?

Stephanie Rogers's direct phone number is +165056*****

What schools did Stephanie Rogers attend?

Stephanie Rogers attended University Of California, Berkeley, University Of California, Berkeley.

What are some of Stephanie Rogers's interests?

Stephanie Rogers has interest in Berkeley, Eminem, Glee (Tv Series), Harry Potter, Stanford University, University Of California, Movies And Creative Franchise.

What skills is Stephanie Rogers known for?

Stephanie Rogers has skills like Python, Computer Science, Java, Latex, Algorithms, Html, Data Mining, Artificial Intelligence, Programming, Software Engineering, Web Development, Data Analysis.

Who are Stephanie Rogers's colleagues?

Stephanie Rogers's colleagues are Peter Sullivan, Seth Conger, Chelsea Jobity, Ariane Smith, Janet Mccarthy, Jessica Hunter, Claudio Vieira.

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