See here for the full job description.
At
Paramark we help Marketing teams invest in the right channels and campaigns, confidently. This is a "Salesforce for Marketing" sized opportunity in a $1T market. Our product is powered by machine learning that forecasts returns and runs experiments to determine causal impact.
We're currently working with 15+ companies, with several public companies and household names in the mix. We're currently just three people, and we're now looking for our second engineer.
We’ve raised a $2M pre-seed round and are
backed by investors including WndrCo, Kleiner Perkins, Recall Capital, and Position Ventures. We also have prominent angels including former/current execs of companies like Dropbox, Salesforce, PagerDuty, Miro, Webflow, Asana, Pilot, Otter.ai, and Gong.io.
We work 3-5 days a week from our office in Burlingame, CA. We thrive on in-person collaboration, but we also want to strike the right balance and give everyone the flexibility they need.
Your role
- Building software
- You will be able to focus entirely on building the product, and you will have the autonomy to make decisions and stay unblocked.
- Your work will be full-stack in nature, with a significant data science portion as well. You will be focused on providing a simple, elegant user experience for our customers.
- You will work with us as we continue defining our tech stack. We will be building a web application with a focus on data visualization and a backend service performing automated statistical analysis.
- Since we work with sensitive customer data, quality and security are paramount for us. You will help us think through the tradeoffs and ensure we keep our standards high.
- Data science and customer success
- You will work with our team to provide new data, insights, and recommendations for our customers about their Marketing performance.
- You will help us maintain a high quality bar by exercising careful judgment to ensure that we are drawing valid conclusions from the data at hand.
- You will contribute to choosing the statistical and machine learning methods we are using, learning their underlying capabilities, and improving them over time.
- Contributing to product definition
- You will influence what we build in addition to how we build it. We believe that for what we’re building, customer feedback is essential at every step of the way. You will participate in customer research, and this will inform the product decisions you’ll be making.
- You will lead the process of defining product requirements for your projects, making sure that we are building the right thing.
