4+ years of experience
- L3: $166k-$186k
- L4: $179k-$199k
- L5: $197k-$237k
Offers also include an equity package. Equity range is available upon request.
The company
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 8 recurring customers (3 enterprise, 5 mid-market), 9 in progress pilots, and 20+ in early sales stages. Revenue is growing faster each quarter than the last.
We work 3-5 days a week from our office in Burlingame, CA, and we’re moving to San Francisco in the coming weeks. 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 $8M from top tier investors and have several prominent CXO-level advisors and angels from companies like Dropbox, Salesforce, PagerDuty, Miro, Webflow, Asana, Pilot,
Otter.ai, and
Gong.io.
Read more
The opportunity
Your team
- The team is currently the founders, Pranav and Pete, and our three engineers (Hourann, Daniel, and Jason).
- We believe that the best teams are driven from the bottom up. We’re excited for how you will influence us.
Your role
- Building software
- 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 are 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.
You
Your experience and skills
- Full-stack engineer with at least 4 years of experience. You don’t need to have extensive experience in both frontend and backend, but you should have depth in one and basic experience in the other.
- Owning projects and making tradeoffs. You should have a track record of taking responsibility for delivery and keeping your projects on track.
- Making technical decisions despite ambiguity. You should already have some practice making decisions with imperfect information, while also having room to grow.
- Some familiarity with data science, statistics, machine learning, or experimentation. You don’t need to be a machine learning expert or a data scientist, but you should understand the basics of one of these fields. You’ll have time after joining to gain depth.
- Influencing product decisions. You should have some experience contributing to the product side of your work, such as defining, advocating for, or crafting delightful user experiences.
Your interests
- Creating happy customers. Your choices will be guided by a passion to make our customers happy.
- Creating a warm and welcoming company culture. Building a great product is only the beginning for us. We’re equally passionate about building a company that we still want to work at 10 years from now, and you will play a huge role in making this happen.
- Contribute to our frontend, backend, and data stack. As an early engineer, your fingerprints will be all over each part of our tech stack. Your skills will fit some areas better than others, but you will grow with time.
Benefits and culture
- We’re not 22 any more. We have kids, family lives, and health problems to manage. We don’t think early stage startup life requires 18 hour days, or even 12 hour days. We’re intent on building a different kind of culture, one that is truly sustainable. That means reasonable working hours (we’re out of the office before 6), taking a break when we need it, and checking in with each other. Our Purpose, Mission, and Values guide us.
- Simple Time off policy : all federal holidays plus 4 weeks of PTO per year. Health comes first, and everyone needs to take time off to recharge and rejuvenate.
- Medical, dental, and vision insurance provided with 100% of employee premiums covered.
