Plainsight

Location

This role is 100% remote. Our entire company works virtually, and often across time zones. Your home office is your work location.

Qualifications

• 5+ years in an evangelism, product management, or developer advocacy role.
• Experience translating complex technical subjects into succinct, informational and compelling materials.
• Demonstrated expert-level experience and understanding of machine learning principles 
• Demonstrated success using strong writing, presenting, speaking, and communication skills

About Plainsight

Plainsight streamlines vision AI for enterprises with new ways to analyze, share and benefit from valuable visual information. Solving problems where others have failed, Plainsight helps the world’s most innovative customers realize the potential of their data through smart, easy-to-use, effective solutions. Our intuitive, low-code platform gives every team across organizations the ability to build, manage, and operationalize solutions. With actionable insights and unblinking accuracy, Plainsight powers enterprise-ready applications to automate processes, mitigate risk, enhance product portfolios, and increase revenue opportunities.  

The Job

You’ll work at the intersection of the product, marketing, and engineering teams, to showcase the value of Plainsight’s vision AI platform to enterprise business users, machine learning developers, and data scientists. Reporting to the Chief Product Officer  you’ll be tasked with growing and innovating our evangelism function at Plainsight.

As Plainsight’s Evangelist you will have a deep understanding of how AI/ML is purchased and deployed within large enterprises and mid-market, a passion for writing original blog posts that drive engagement and help customers traverse the sales funnel, and  a knack for connecting the dots between the business applications of AI/ML and the technical underpinnings of MLOps. You will also manage and drive engagement with ML/AI communities.

At Plainsight, you can expect a collaborative, respectful, innovative and supportive environment where our core values are on display in How We Show Up, How We Think, How We Work With Others, and How We Deliver. We expect all team members to understand, use, and advocate for these core values.

Responsibilities

• Drive demand for our products through creating webinars, demos, interviews, and other interactive events.
• Engage with the ML/AI community by organizing events and speaking  at meetups, technology conferences, and/or trade shows and influence the direction of our products by gathering and relaying insights from the computer vision community to our product team.
• Acquire a deep understanding of the AI/ML community’s workflows and demonstrate how they can leverage Plainsight’s vision AI platform to best meet their key business and technical needs.
• Partner with product, innovation and engineering teams to build compelling demos, example projects highlighting platform features and integrations. 
• Create and present content that will inspire potential customers to partner with Plainsight.
• Curate, create, edit, and distribute tutorials, blog articles, case studies, and other content with minimal guidance  that both  inspires potential customers to partner with Plainsight and communicates advances in the development & applications of machine learning, computer vision, and data science. 

Plainsight is committed to fostering a diverse work environment and is proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

The US base salary range for this full-time position is $124,000-$215,000 + equity + benefits. Our salary ranges are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for relative experience during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity or benefits. Learn more about benefits at Plainsight.