The Role
As a Customer Success Onboarding Manager, you will guide new customers through the onboarding process, ensuring data integration and resolving issues while collaborating with cross-functional teams.
Summary Generated by Built In
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 a Customer Onboarding Manager at Haus, you will be responsible for shepherding new Haus customers through the onboarding process and ensuring they are well-equipped to maximize value from the Haus platform. You will work hand-in-hand with our data engineering team to ensure customers’ data is properly integrated into the Haus platform and will work directly with customers on troubleshooting. You have strong attention to detail, are personable, and can explain technical solutions to every type of user.
Roles & responsibilities will include:
- Lead project management for customer data ingestion, partnering closely with Data Engineering and Data Operations to ensure a smooth onboarding process
- Collaborate closely with Sales and Customer Success to ensure a seamless transition between the Sales process to post-onboarding lifecycle with Customer Success
- Own customer Kick Off Call and ensure customer progresses through the data onboarding process within defined SLAs
- Independently manage triage and debugging of data onboarding and data integration issues
- Own documentation around onboarding and ensure it’s maintained and up to date
- Identify automation and efficiency improvements, and work with cross-functional teams at Haus to drive these initiatives to completion
Qualifications
- 4+ years of experience in Technical Program Management, Technical Implementation, and/or Customer Support Engineering
- Experience in customer-facing project management
- Experience with data transfers using platforms like Snowflake, S3, BigQuery, Shopify, Amazon Seller Central, etc.
- Experience with integrations with common data management tools
- Ability to communicate with both technical and non-technical audiences; experience connecting the dots between engineering and customers
- Detail-oriented and an ability to work under pressure and within deadlines.
- 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
- Understanding of paid marketing and/or analytics is a plus
- Experience with database management, SQL, and business analytics is a plus
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.
Top Skills
Amazon Seller Central
BigQuery
S3
Shopify
Snowflake
SQL
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The Company
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.
