Marla Potterveld
Manager Of Technical Account Managers at PlanetScale
Longmont, Colorado, United States
Summary
👤
Senior🎓
Top SchoolMarla Potterveld is a technical customer success leader with nine years of experience bridging product, engineering, and enterprise customers to deliver reliable cloud database solutions. As Manager of Technical Account Managers at PlanetScale, she combines hands-on technical insight with program and change management to advocate for customer needs and drive product roadmap alignment. Her background at Dropbox spans product operations, user experience, training scale-up, and high-volume support, giving her a rare blend of operational rigor and customer empathy. An active contributor to AWS open-source samples and QnABot, she has improved front-end UX and backend robustness for conversational interfaces, reflecting a practical engineering curiosity. Based in Longmont, Colorado, she also spent time traveling and studying languages, which informs her cross-cultural communication and inclusive coaching style.
9 years of coding experience
2 years of employment as a software developer
Capital Normal UniversityBachelor of Arts, Diplomacy and World Affairs, Bachelor of Arts, Diplomacy and World Affairs at Occidental College
Chinese, Spanish
Github Skills (26)
javascript10
webpages10
ui-design10
web-content10
aws10
vue10
html10
amazon-lex10
vue-jsx10
chatbot10
testing9
debugging9
css9
vuetify9
csv8
Programming languages (3)
Github contributions (5)
aws-samples/aws-lex-web-ui
Aug 2018 - Jul 2022
Sample Amazon Lex chat bot web interface
Role in this project:
Front-end Developer
Front-end DeveloperContributions:20 releases, 55 commits, 55 PRs in 3 years 11 months
Contributions summary:Marla primarily contributed to the user interface and front-end functionality of the AWS Lex Web UI. They implemented features such as a back button with associated utterance stack management, configurable help messages, and refined the display of response cards, including fixes for subtitle display and button behavior. The user also addressed initialization issues related to audio context and updated the project's dependencies, demonstrating a focus on improving the user experience and maintaining the application's functionality. They also worked on the Iframe API and made fixes and updates to the configuration.
amazon-lexchatbotaws-lexlexai
aws-solutions-library-samples/qnabot-on-aws
Aug 2018 - May 2022
Guidance for QnABot on AWS is a multi-channel, multi-language conversational interface (chatbot) that responds to your customer's questions, answers, and feedback. The solution allows you to deploy a fully functional chatbot across multiple channels including chat, voice, SMS and Amazon Alexa.
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:12 releases, 1 review, 59 commits in 3 years 9 months
Contributions summary:Marla made contributions focused on improving the QnABot's functionality and user interface. Their work includes implementing features for the test-all functionality within the Vue.js frontend, enhancing the display of test results, and improving the handling of comma characters and special characters within the output CSVs. Additionally, they modified backend code to ensure proper logging and S3 bucket configuration. This includes fixing bugs related to the Alexa skill, and improving the overall robustness of the system.
awschatbotsmsmachine-learningartificial-intelligence
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