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, Amazon Web Services, and Gatik. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 262+ Customer Success jobs
DataVisor is the world’s leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine, and investigation tools work together to provide significant performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.
Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us!
Job Summary
As a Customer Success Manager (CSM), you will serve as a strategic partner to key enterprise clients, helping them drive ROI through advanced fraud detection, AML compliance, and operational optimization. You’ll lead customer engagements across a portfolio of Fortune 500 companies in FinTech, Banking, and E-commerce, providing expert guidance on how to maximize value from our industry-leading SaaS platform.
Your responsibilities include monitoring detection system performance, advising on best practices for using machine learning models, rules engine, and device intelligence signals, and identifying opportunities to reduce fraud or money laundering risks and streamline operations. You’ll work cross-functionally with Product and Engineering teams to advocate for customer needs and support ongoing innovation.
This role combines strategic consulting, data-driven decisioning, and hands-on product expertise to deliver measurable impact for our clients.
Requirements
- Act as the primary point of contact and trusted advisor for assigned enterprise customers, ensuring successful onboarding, adoption, and long-term value realization
- Understand client business models, fraud/AML risk exposure, and operational needs to define success criteria and shape tailored solution strategies
- Partner closely with clients to align our fraud detection and AML platform capabilities to their goals, driving measurable improvements in fraud prevention, loss reduction, and operational efficiency
- Coordinate with internal teams (including Modeling, Product, and Engineering) to ensure timely delivery of enhancements, issue resolution, and optimization of detection outcomes
- Translate customer insights into actionable feedback for internal roadmap planning and product improvements
- Monitor detection performance metrics, support quarterly business reviews, and proactively identify opportunities for expansion or deeper integration
- Educate clients on best practices in fraud/AML strategies and platform usage to maximize return on investment
- Represent the voice of the customer internally and the voice of our platform externally, including participation in industry events, customer workshops, and solution showcases
Skillset Requirements
- 3+ years of experience in fraud strategy, risk analytics, customer success, or fraud operations within fintech, banking, payments, or e-commerce industries
- Deep understanding of fraud/AML use cases such as transaction fraud, account takeover, promotion abuse, synthetic identity fraud, or mule detection
- Experience working with machine learning-based detection systems and/or rule engines for fraud prevention
- Strong analytical skills; proficient with SQL, and experience in Python or R for data exploration and investigation
- Excellent verbal and written communication skills; able to explain technical concepts to both technical and non-technical stakeholders
- Confident in leading customer-facing discussions and executive presentations
- Highly organized with strong project ownership and time management skills; able to manage multiple enterprise accounts simultaneously
- Bachelor’s degree in a technical, analytical, or business-related field; advanced degree a plus
Benefits
Base salary, bonus & PTO
DataVisor is the world’s leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine, and investigation tools work together to provide significant performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.
Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us!
Job Summary
As a Customer Success Manager (CSM), you will serve as a strategic partner to key enterprise clients, helping them drive ROI through advanced fraud detection, AML compliance, and operational optimization. You’ll lead customer engagements across a portfolio of Fortune 500 companies in FinTech, Banking, and E-commerce, providing expert guidance on how to maximize value from our industry-leading SaaS platform.
Your responsibilities include monitoring detection system performance, advising on best practices for using machine learning models, rules engine, and device intelligence signals, and identifying opportunities to reduce fraud or money laundering risks and streamline operations. You’ll work cross-functionally with Product and Engineering teams to advocate for customer needs and support ongoing innovation.
This role combines strategic consulting, data-driven decisioning, and hands-on product expertise to deliver measurable impact for our clients.
Requirements
- Act as the primary point of contact and trusted advisor for assigned enterprise customers, ensuring successful onboarding, adoption, and long-term value realization
- Understand client business models, fraud/AML risk exposure, and operational needs to define success criteria and shape tailored solution strategies
- Partner closely with clients to align our fraud detection and AML platform capabilities to their goals, driving measurable improvements in fraud prevention, loss reduction, and operational efficiency
- Coordinate with internal teams (including Modeling, Product, and Engineering) to ensure timely delivery of enhancements, issue resolution, and optimization of detection outcomes
- Translate customer insights into actionable feedback for internal roadmap planning and product improvements
- Monitor detection performance metrics, support quarterly business reviews, and proactively identify opportunities for expansion or deeper integration
- Educate clients on best practices in fraud/AML strategies and platform usage to maximize return on investment
- Represent the voice of the customer internally and the voice of our platform externally, including participation in industry events, customer workshops, and solution showcases
Skillset Requirements
- 3+ years of experience in fraud strategy, risk analytics, customer success, or fraud operations within fintech, banking, payments, or e-commerce industries
- Deep understanding of fraud/AML use cases such as transaction fraud, account takeover, promotion abuse, synthetic identity fraud, or mule detection
- Experience working with machine learning-based detection systems and/or rule engines for fraud prevention
- Strong analytical skills; proficient with SQL, and experience in Python or R for data exploration and investigation
- Excellent verbal and written communication skills; able to explain technical concepts to both technical and non-technical stakeholders
- Confident in leading customer-facing discussions and executive presentations
- Highly organized with strong project ownership and time management skills; able to manage multiple enterprise accounts simultaneously
- Bachelor’s degree in a technical, analytical, or business-related field; advanced degree a plus
Benefits
Base salary, bonus & PTO
See All 262+ Customer Success Jobs in Mountain View
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Find Customer Success JobsCustomer Success Job Market in Mountain View
Who's Hiring
- Intuit87
- Amazon Web Services58
- Gatik29
- Stampli29
- DataVisor29
Top Industries Hiring
- Technology & Software87
- Distribution & Wholesale58
- Fintech29
- Investment & Asset Management29
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, Amazon Web Services, and Gatik and others right now, based on current listings on Migrate Mate as of August 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 50% of customer success openings tied to Mountain View are remote or hybrid as of August 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 Technology & Software, Distribution & Wholesale, and Fintech, based on current listings on Migrate Mate as of August 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 262+ Customer Success Jobs in Mountain View
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