Customer Success Jobs in Mountain View, CA
Customer Success jobs in Mountain View are in high demand, concentrated in the Castro Street corridor, Moffett Park, and the Middlefield Road tech cluster, across SaaS, cloud infrastructure, and enterprise software. Employers hiring right now include Intuit, Commure, and Stampli. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 281+ Customer Success 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 Jobs in Mountain View
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Find Customer Success JobsCustomer Success Job Market in Mountain View
Who's Hiring
- Intuit201
- Commure20
- Stampli20
- DataVisor20
- Intrinsic20
Top Industries Hiring
- Investment & Asset Management
Customer Success Jobs in Mountain View: Frequently Asked Questions
How do I get a customer success job in Mountain View?
Mountain View's customer success market runs on SaaS and enterprise software, so experience managing recurring accounts or onboarding technical products gives you a clear edge. The Castro Street corridor and Moffett Park office clusters are where most openings concentrate. Tailor your resume to show retention metrics, product adoption numbers, or renewal rates. Familiarity with CRM platforms like Salesforce or Gainsight is a strong differentiator in this market.
Which companies hire customer successs in Mountain View?
Mountain View customer success roles are posted by Intuit, Commure, and Stampli and others right now, based on current listings on Migrate Mate as of November 2026. The local employer mix skews heavily toward SaaS platforms and cloud infrastructure companies, many headquartered along Moffett Park and the Highway 101 corridor.
Are there remote customer success jobs in Mountain View?
Yes, though roles that require hands-on enterprise onboarding or in-person QBRs tend to stay on-site. About 67% of customer success openings tied to Mountain View are remote or hybrid as of November 2026, reflecting how broadly tech employers here have adopted flexible work. Digital onboarding, renewal management, and scaled customer success roles are the most likely to be fully remote.
How can I get a customer success job in Mountain View with little or no experience?
The most realistic entry path in Mountain View is a customer support or technical support role at one of the area's SaaS or cloud companies, then moving laterally into a junior CSM or customer success associate position. Many Mountain View tech employers hire associate-level CSMs who can demonstrate product curiosity and clear communication. Building hands-on experience with CRM or customer health tools, even through personal projects, helps candidates stand out against more tenured applicants.
Which industries hire the most customer successs in Mountain View?
Mountain View customer success roles concentrate in Investment & Asset Management, based on current listings on Migrate Mate as of November 2026. Mountain View's dense concentration of SaaS headquarters and cloud infrastructure companies drives consistent demand, as subscription-based business models rely heavily on customer success teams to reduce churn and grow accounts.
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See All 281+ Customer Success Jobs in Mountain View
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