We are building a product to help Marketers optimize their spend across any number of channels and programs. There are proven scientific ways to do this, but they are poorly understood and practiced by only a tiny fraction of teams. Companies waste millions on campaigns that don't work, while failing to invest in critical long-term initiatives whose impact is harder to measure. Most are sorely lacking in both measurement and experimentation capability.
We're fixing this by creating a system of record that teams will use to understand and forecast the impact of their Marketing, as well as to experiment with new ideas. The opportunity is huge: 300k+ mid-market businesses worldwide, spending $1T on marketing annually, with a large chunk of that going to waste. Our target customer spends between $10M and $100M on Marketing annually.
We founded the company in 2023 and are seeing strong traction. We have four recurring customers, including one enterprise household name, 11 pilots in various stages of execution or onboarding, and 20+ in early sales stages.
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.
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, Zepz, Path, Dover and Maergo.
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.