About Haus
Haus is a first of its kind decision science platform for the new digital privacy paradigm where data sharing and PII is restricted. Haus uses frontier causal inference based econometric models to run experiments and help brands understand how the actions they take in marketing, pricing and promotions impact the bottom line. Our team is comprised of former product managers, economists and engineers from Google, Netflix, Amazon and Meta who saw how costly it is to support high-quality decision science tooling and incrementality testing. Our mission is to make this technology available to all businesses, where all the heavy lifting of experiment design, data cleaning, and analysis/insights are taken care of for you. Haus is working with well known brands like FanDuel, Sonos, and Hims & Hers, and has seen more than 30x ROI by running experiments and helping brands make more profitable decisions. We are backed by top VCs like Insight Partners, 01 Advisors, Baseline Ventures, and Haystack.
What you'll do
As an early member of the Customer Success team at Haus, you will be building and shaping the function from the ground up. You will serve as a trusted advisor to our customers, focusing on driving value and platform adoption. Your work will promote overall customer satisfaction, product adoption, retention, and renewals.
Roles & responsibilities will include:
- Serve as the primary point of contact for customers throughout their lifecycle, including onboarding new accounts, developing an experimentation roadmap, and facilitating ongoing testing & analysis through the Haus platform.
- Advise customers on best practices in order to maximize value and ROI from the platform. Empower our customers to connect their business questions with Haus product offerings.
- Serve as a trusted partner to our customers on interpretation of test results and how to take action, simplifying complex concepts into easy-to-understand recommendations.
- Establish CS processes, playbooks, and workflows that balance quality of service with our focus on scale & automation.
- Partner closely with our product, science, & engineering teams to translate customer requests into scalable product features.
- Build trusted relationships with key stakeholders within customer organizations to drive adoption and ensure renewals.
Qualifications
- 4+ years of experience in growth marketing or marketing science. A fluent understanding of paid media buying and/or analytics will make you an especially valuable resource for our customers.
- Some experience in a customer facing role, and an ability to interact and collaborate with key stakeholders within customer organizations.
- Passionate about operational excellence and establishing processes and playbooks to scale CS at Haus as we enter our next phase of growth.
- Demonstrated track record in an early-stage company or highly ambiguous environment where you need to juggle multiple projects at once.
- Scrappy and resourceful, and willing to fill any gaps necessary to keep our customers happy.
- Strong written communication and experience presenting to customers and executives.
What we offer
- Competitive salary and startup equity
- Top of the line health, dental, and vision insurance
- 401k plan
- Provide you with the tools and resources you need to be productive (new laptop, equipment, you name it)
Haus is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.
What We Do
Haus is a decision science platform built on your own data. Our products combine state-of-the-art causal inference and econometrics to help brands make informed investment decisions.
