This role pays less than
95%
of similar roles. Most pay
$165,000–$226,850
— the shaded band above.
At the midpoint, this role pays about
$124k
versus about
$196k
for comparable roles.
Based on 240 similar postings.
Employer
About Okta Inc
Okta, Inc. is an American identity and access management company based in San Francisco. It provides cloud software that helps companies manage and secure user authentication into applications, and for developers to build identity controls into applications, websites, web services, and devices.[
Okta Inc currently has
137 open roles
on FindRole.
Listed pay typically runs
$174,000–$239,000
across 137 roles with salary data.
As a Customer Acceleration Product Manager, you will serve as the product owner for Okta’s suite of customer education offerings while contributing to the broader post-sales portfolio. You will manage the education subscription roadmap by overseeing backlogs, defining requirements, and prioritizing improvements based on data insights and customer needs. Your daily work involves translating go-to-market strategies into actionable requirements for content teams, designing adoption programs to increase engagement, and establishing success metrics that link learner behavior to product retention. To succeed, you must possess skills in product management, user research, persona mapping, and the ability to translate complex technical concepts into value-based language. You will utilize tools like LMS platforms, community platforms, and BI tools to track usage while solving the challenge of streamlining the customer journey toward expertise within a subscription-based B2B environment.
Generative AI
LLM-as-Judge
AI Agents
Data Science
Product Management
Streaming Data Platforms
Observability
Software Engineering
Analytics
Statistics
Operations Research
Information Systems
AI
Machine Learning
A/B Testing
Data Platforms
APIs
CRM
Martech
Adtech
Customer Data Platforms
Analytics
WCAG) 2.2 AA
Product Management
Systems Thinking
GPU
Large Language Models
Machine Learning
Artificial Intelligence
High-Performance Computing
Cloud Computing
Datacenter Workloads
Training and Inference
Computing Architectures