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, Amazon Web Services, and Gatik. See the openings below and apply to the ones that match your experience.
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Showing 5 of 262+ Customer Success Representative 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 Representative Jobs in Mountain View
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Find JobsCustomer Success Representative 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 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, Amazon Web Services, and Gatik, based on current listings on Migrate Mate as of August 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 50% of customer success representative openings tied to Mountain View are remote or hybrid as of August 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 Technology & Software, Distribution & Wholesale, and Fintech, based on current listings on Migrate Mate as of August 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 262+ Customer Success Representative Jobs in Mountain View
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