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The modern world is filled with data. This data flows inside organizations between departments, customer interactions, products usages, external resources, and beyond. Can we use any of that historical data to predict the future? In the majority of cases we can, but that historical data needs to be prepared first. This preparation step is called labeling. It's a process of real people giving meaning to the information they see on the screen.
Heartex builds software that helps people do what only they can do - give meaning, with the goal of minimizing the amount of manual work, automating the data labeling process itself!
We've started with releasing an open-source product called Label Studio, it's sole purpose is to help people working with data, usually, data scientists in their day-to-day activities preparing for the data's prime time - when it's used in the process of training an algorithm. The result of this process is a machine learning model that is, if built well, is of high value because of its predictive power.
20000 Data Scientists use Label Studio to get functional and accurate ML models. We want to spread that beyond, and we need your help!
What we are looking for:
Heartex is looking for someone to lead Data Science Relations, who excels in cultivating user growth through a multitude of channels (Slack, LinkedIn, Twitter, etc). You'll partner with our Founders, the CEO and CTO, to help drive freemium user adoption of our product through strategic community building. This is a rare chance to help transform the machine learning space with a next-gen solution.
What we need from you:
Increase Label Studio adoption and awareness, however you can: content, templates, partnerships, you name it
Build a community from the ground up: set up a forum, encourage advocacy, talk to users (a ton)
Influence and drive the product roadmap with insights from users and the community
Create demos & example applications to best showcase Label Studio and upcoming features to the data science community
Must have prior experience in developing, building and managing community programs for bottoms up G2M strategies
Must have strong track record of creating content for communities (thought leadership, technical tutorials, technically adjacent tutorials, pure SEO)
Experience engaging with data scientists 1:1 via blog posts, meetups, presentations, slack channels, podcasts, etc.
Strong understanding of Open Source software and their users
Past experience as a Data Scientist and understanding of data science IDEs and frameworks like Pandas, Jupyter, etc.
Strong following on social media platforms such as Twitter and Slack is a must have, with excellent understanding of cultivating user engagement
Excellent communication skills
Nice to have:
Experience working with product teams to help translate user interviews into product roadmap requirements
Preparation of social ad buying and content promotion tactics
Strong understanding of reporting and analytics
Health, Vision and Dental
Generous PTO / sick leave
Position can sit in other location