Customer Success Representative Jobs in San Diego, CA
Customer Success Representative jobs in San Diego are concentrated in the Sorrento Valley, Kearny Mesa, and downtown Gaslamp Quarter corridors, driven by demand from SaaS companies, biotech, and defense tech firms. Employers actively hiring right now include Intuit, CARET, and XiFin. 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 San Diego
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Find JobsCustomer Success Representative Job Market in San Diego
Who's Hiring
- Intuit158
- CARET35
- XiFin18
- Lawmatics18
- Shield AI18
Customer Success Representative Jobs in San Diego: Frequently Asked Questions
How do I get a customer success representative job in San Diego?
San Diego's strongest hiring comes from SaaS platforms, cybersecurity firms, and life sciences companies clustered in Sorrento Valley and Torrey Pines. Candidates who stand out have hands-on experience with CRM tools and can demonstrate measurable retention or upsell results. Familiarity with the defense tech and biotech sectors common to San Diego gives applicants a real edge over generalist candidates from other markets.
Which companies hire customer success representatives in San Diego?
San Diego customer success representative roles are posted by Intuit, CARET, and XiFin and others right now, based on current listings on Migrate Mate as of November 2026. San Diego's mix of venture-backed SaaS startups and established enterprise software companies in Kearny Mesa and Sorrento Valley keeps this role in consistent demand year-round.
Are there remote customer success representative jobs in San Diego?
Yes, customer success representative work is well-suited to remote and hybrid arrangements because most of the role involves digital communication, software platforms, and video calls rather than on-site activity. About 100% of customer success representative openings tied to San Diego are remote or hybrid as of November 2026, reflecting broader trends in the local tech sector. Account management and onboarding functions are most frequently offered with flexible location arrangements by San Diego employers.
How can I get a customer success representative job in San Diego with little or no experience?
The most realistic entry path in San Diego is through a support or onboarding specialist role at one of the many SaaS startups in Sorrento Valley or Kearny Mesa, where companies regularly promote from within. San Diego's growing cybersecurity and health tech sectors also hire associate-level CSRs who show strong communication skills and CRM familiarity. Volunteering for client-facing responsibilities in any current role, even outside tech, helps build the portfolio local employers want.
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