Customer Success Jobs in San Diego, CA
Customer Success jobs in San Diego are in strong demand, concentrated in Sorrento Valley, UTC, and Downtown across SaaS, biotech, cybersecurity, and defense technology. Employers hiring right now include Intuit, CARET, and XiFin. 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 San Diego
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Find Customer Success JobsCustomer Success Job Market in San Diego
Who's Hiring
- Intuit158
- CARET35
- XiFin18
- Lawmatics18
- Shield AI18
Customer Success Jobs in San Diego: Frequently Asked Questions
How do I get a customer success job in San Diego?
Start by targeting San Diego's largest hiring sectors: SaaS and cloud software companies in Sorrento Valley and UTC, cybersecurity firms clustered along the I-15 corridor, and biotech companies in Torrey Pines and Carmel Valley. Employers here value candidates who can manage technical accounts and communicate ROI clearly. Experience with CRM tools and a background in a technical or life sciences field gives you a real edge in this market.
Which companies hire customer successs in San Diego?
San Diego customer success roles are posted by Intuit, CARET, and XiFin and others right now, based on current listings on Migrate Mate as of November 2026. The local hiring mix leans toward growth-stage SaaS companies, defense technology vendors, and mid-size biotech firms with commercial teams based in the city.
Are there remote customer success jobs in San Diego?
Yes, customer success is one of the more remote-friendly roles in tech since most of the work happens over video and email rather than on-site. About 100% of customer success openings tied to San Diego are remote or hybrid as of November 2026, with the fully on-site share concentrated mainly at biotech and defense employers who require regular in-person collaboration.
How can I get a customer success job in San Diego with little or no experience?
The most realistic entry path is a customer support or technical support role at one of San Diego's many SaaS or cybersecurity companies, then moving into a junior CSM or onboarding specialist position. Growth-stage startups in UTC and Sorrento Valley frequently hire entry-level candidates who show strong communication skills and product curiosity. Familiarity with Salesforce or HubSpot and any customer-facing experience, even outside tech, will strengthen your application significantly.
Related Jobs in California
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