Customer Success Representative Jobs in Mountain View, CA
Customer Success Representative jobs in Mountain View are in strong demand, concentrated in the Castro Street corridor, Middlefield Road tech campus zone, and the North Bayshore district across SaaS, cloud infrastructure, and enterprise software. Companies hiring right now include Intuit, Commure, and Stampli. See the openings below and apply to the ones that match your experience.
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Showing 5 of 281+ Customer Success Representative jobs
Overview
As a Staff Data Scientist, you will join our team of talented Data Engineers, Data Analysts, and Data Scientists to develop tools, define metrics, and build a robust Data/AI infrastructure that informs critical business decisions. You will also partner closely with cross functional teams in AI Research, Product Management, Service Delivery, Strategy, and Engineering to develop capabilities that will drive our AI Driven platform into the future.
Responsibilities
Lead experimental designs and measurement plans.
Build optimization models and simulation tools to support strategic decisions across customer success operations, including service delivery, workforce planning, customer escalations, knowledge management, scheduling, and routing.
Develop and operationalize decision science frameworks to optimize support costs and maximize customer outcomes.
Partner with stakeholders across Customer Success, Operations, and Strategy teams to embed AI/ML solutions in real-time decision engines and operational workflows.
Work side-by-side with product managers, software engineers, and designers in designing models, experiments, and minimum viable products.
Develop agentic capabilities to power our Expert Network and streamline processes, uncover insights, and reduce the manual burden on the team.
Qualifications
Advanced proficiency in SQL and a statistical programming language such as Python and/or R.
7+ years of experience in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, anomaly detection, recommender systems, sequential pattern discovery, and text mining.
Deep understanding of Generative AI and other evolving technologies to accelerate insights from multi-modal data.
Expertise in experimental design and Multivariate/A-B testing.
Experience in optimization techniques, such as linear programming, integer programming, constraint optimization, and simulation modeling.
Experience building and deploying operational models for staffing, queue management, or dynamic resource allocation.
Familiarity with customer success metrics and operational KPIs such as Net Promoter Score (NPS), Average Handle Time (AHT), First Contact Resolution (FCR), and agent utilization.
Ability to formulate data-backed strategies that will drive step-function growth for the business as well as increase customer benefit.
Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences.
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.
San Diego $185,500 - $251,000
Overview
As a Staff Data Scientist, you will join our team of talented Data Engineers, Data Analysts, and Data Scientists to develop tools, define metrics, and build a robust Data/AI infrastructure that informs critical business decisions. You will also partner closely with cross functional teams in AI Research, Product Management, Service Delivery, Strategy, and Engineering to develop capabilities that will drive our AI Driven platform into the future.
Responsibilities
Lead experimental designs and measurement plans.
Build optimization models and simulation tools to support strategic decisions across customer success operations, including service delivery, workforce planning, customer escalations, knowledge management, scheduling, and routing.
Develop and operationalize decision science frameworks to optimize support costs and maximize customer outcomes.
Partner with stakeholders across Customer Success, Operations, and Strategy teams to embed AI/ML solutions in real-time decision engines and operational workflows.
Work side-by-side with product managers, software engineers, and designers in designing models, experiments, and minimum viable products.
Develop agentic capabilities to power our Expert Network and streamline processes, uncover insights, and reduce the manual burden on the team.
Qualifications
Advanced proficiency in SQL and a statistical programming language such as Python and/or R.
7+ years of experience in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, anomaly detection, recommender systems, sequential pattern discovery, and text mining.
Deep understanding of Generative AI and other evolving technologies to accelerate insights from multi-modal data.
Expertise in experimental design and Multivariate/A-B testing.
Experience in optimization techniques, such as linear programming, integer programming, constraint optimization, and simulation modeling.
Experience building and deploying operational models for staffing, queue management, or dynamic resource allocation.
Familiarity with customer success metrics and operational KPIs such as Net Promoter Score (NPS), Average Handle Time (AHT), First Contact Resolution (FCR), and agent utilization.
Ability to formulate data-backed strategies that will drive step-function growth for the business as well as increase customer benefit.
Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences.
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.
San Diego $185,500 - $251,000
See All 281+ Customer Success Representative Jobs in Mountain View
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Find JobsCustomer Success Representative Job Market in Mountain View
Who's Hiring
- Intuit201
- Commure20
- Stampli20
- DataVisor20
- Intrinsic20
Top Industries Hiring
- Investment & Asset Management
Customer Success Representative Jobs in Mountain View: Frequently Asked Questions
How do I get a customer success representative job in Mountain View?
The strongest path is targeting the SaaS and cloud software companies concentrated along North Bayshore and the Middlefield Road corridor, where demand for customer success talent is highest. Familiarity with CRM platforms and experience managing technical accounts gives candidates a clear edge here. Applying directly to mid-size software companies and platform teams in Mountain View, rather than large enterprise divisions, tends to move faster for entry and mid-level roles.
Which companies hire customer success representatives in Mountain View?
Employers hiring customer success representatives in Mountain View right now include Intuit, Commure, and Stampli, based on current listings on Migrate Mate as of November 2026. Mountain View's employer mix skews heavily toward product-led SaaS companies and platform businesses, so most openings come from software and cloud services teams rather than retail or service industries.
Are there remote customer success representative jobs in Mountain View?
Yes, customer success representative work is well-suited to remote and hybrid arrangements since most of the role involves digital communication, account reviews, and platform-based collaboration. About 67% of customer success representative openings tied to Mountain View are remote or hybrid as of November 2026, reflecting how tech-forward local employers approach the function. Onboarding and quarterly business review cycles are the parts most likely to require in-person presence.
How can I get a customer success representative job in Mountain View with little or no experience?
The most realistic entry path in Mountain View is targeting customer support or technical support roles at local SaaS companies, which routinely serve as a pipeline into customer success. Smaller software startups in the Castro Street and North Bayshore areas often hire entry-level customer success associates without requiring prior CSM experience, especially for candidates who can demonstrate product fluency or a background in a relevant vertical such as cloud tools, analytics, or developer platforms.
Which industries hire the most customer success representatives in Mountain View?
Mountain View customer success representative roles concentrate in Investment & Asset Management, based on current listings on Migrate Mate as of November 2026. Mountain View's dense cluster of product-led software companies and infrastructure platforms drives consistent demand in those sectors, where customer retention and expansion revenue are core business priorities.
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See All 281+ Customer Success Representative Jobs in Mountain View
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