Customer Success Onboarding Manager

Posted 22 Hours Ago
Hiring Remotely in USA
Remote
100K-140K Annually
3-5 Years Experience
Software
The Role
As the Customer Success Onboarding Manager at Haus, you will guide customers through the onboarding process, ensuring they are equipped to maximize value from the platform. Your role involves managing initial setups, conducting training sessions, and creating supportive training materials. You'll also collaborate with various teams to enhance automation and improve onboarding processes.
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 an Onboarding Manager, you will be responsible for shepherding Haus customers through the onboarding process and ensuring they are well-equipped to maximize value from the Haus platform. You have strong attention to detail, are personable, and can explain technical solutions to every type of user. You will be responsible for managing our customers’ initial set up, and training in a timely manner, as well as creating training videos, collateral, and playbooks to help operationalize the Customer Success team at Haus.

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
  • Conduct training sessions with customers and build training videos and materials as needed
  • Establish processes and playbooks to improve and help scale the onboarding process 
  • 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, Customer Success or Project Management
  • 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
  • Understanding of paid marketing and/or analytics is a plusAbility to communicate with both technical and non-technical audiences
  • Scrappy and resourceful, and willing to fill any gaps necessary to keep our customers happy

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.

The Company
HQ: Mountain View, CA
65 Employees
On-site Workplace
Year Founded: 2021

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.

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