Digital Customer Success Manager
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 2d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 5d ago
The date the source published, not the day we noticed it (2026-09-09). Last seen at its source 1h ago.
Is it remote?
Remote - USA
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
United States
The description states no restriction of its own. This is the source's own tag.
Pay
$95.2k–112k/yr
Read out of the job description by us, not from a structured field. Shown in the posting's own currency and period; we never convert.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
greenhouse employer's own board first seen 5d ago · last seen 1h ago
The listing
About the Role
As a Digital Customer Success Manager at Abnormal AI, you will manage a high-volume customer portfolio through scalable, digital-first programs. Your focus is to drive adoption, retention, and growth by guiding customers through their lifecycle and ensuring measurable value from our platform.
You will design and execute targeted digital campaigns, monitor customer health, and collaborate with internal teams to address risks and optimize outcomes. Acting as a trusted advisor, you will use data and customer feedback to influence product, program, and content improvements across the digital journey.
Who you are
- Skilled at analyzing customer data to identify risks, opportunities, and adoption trends
- Experienced in digital lifecycle management and scaling engagement through campaigns or automation
- Strong communicator, confident in digital and live formats (e.g., webinars, virtual QBRs)
- Collaborative team player who partners effectively across Sales, Renewals, Product, and Support
- Comfortable articulating SaaS product features, benefits, and use cases to drive adoption
- Able to balance multiple priorities across a large portfolio while staying organized and outcome-focused
What you will do
- Manage a portfolio of 500–600 customers through digital-first engagement strategies
- Design and deliver digital campaigns (e.g., nurtures, surveys, adoption programs) aligned with lifecycle stages
- Monitor customer health and usage data to identify risks and take proactive actions
- Deliver digital QBRs/EBRs and webinars to showcase ROI and strengthen engagement
- Partner with Renewal Managers on retention strategies for at-risk accounts
- Surface insights and adoption trends to inform product roadmap, content, and digital programs
- Contribute to playbooks, automation models, and scalable best practices for digital success
Must Haves
- 2–4 years in Customer Success, Account Management, or SaaS customer-facing roles
- Candidates must reside in the Mountain (MST) or Central (CST) time zone.
- Proven ability to drive adoption, retention, and growth through digital strategies
- Strong analytical skills with experience interpreting customer health and usage data
- Excellent written and verbal communication skills for both digital and live customer interactions
- Familiarity with CRM and customer success platforms (e.g., Salesforce, Gainsight, Totango)
- Knowledge of SaaS customer lifecycle stages and strategies for digital engagement
#LI-EM3
Actual compensation will be determined based on several non-discriminatory factors including skills, experience, qualifications, and geographic location.
In addition to base salary, this role may be eligible for bonus or incentive compensation, equity, and a comprehensive benefits package.
A note on AI in our process:
Abnormal AI uses AI-assisted tools to help our recruiting team prepare for candidate interviews. These tools analyze resume content and role requirements to suggest interview questions and areas for the interviewer to explore.They do not make hiring decisions or screen candidates automatically. Every decision about a candidacy is made by a person. Further, if your application is successful and Abnormal AI makes a conditional offer of employment, we will carry out pre-employment checks which must be successfully completed to progress to a final offer. All processes and pre-employment checks are in line with prevailing legislation and Abnormal AI's policies relevant to our security and privacy standards.
Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here. If you would like more information on your EEO rights under the law, please click here.