Cloud Sales Engineer Jobs in San Francisco, CA
Cloud Sales Engineer jobs in San Francisco are concentrated in SoMa, the Financial District, and Mission Bay, where cloud infrastructure, enterprise SaaS, and cybersecurity firms run active sales engineering teams. Employers hiring right now include Google, CRUSOE, and OpenAI. Find a role that fits below and apply directly.
Find Cloud Sales Engineer JobsOverview
Open roles348+
Top employerGoogle
Work type37% On-site
Companies hiring33
Showing 5 of 348+ Cloud Sales Engineer jobs
Customer Engineer III, Data Analytics, FSI, Google Cloud
We won't show you this job again
New 9h ago
Google
Customer Engineer III, Data Analytics, FSI, Google Cloud
San Francisco, California
New 9h ago
Senior Cloud Engineer
We won't show you this job again
Added 3d ago
Fandom
Senior Cloud Engineer
San Francisco, California
Added 3d ago
Staff Security Engineer, Cloud Detection & Response
We won't show you this job again
Added 1w ago
AURORA
Staff Security Engineer, Cloud Detection & Response
San Francisco, California
Added 1w ago
Senior Cloud Security Engineer
We won't show you this job again
Added 1w ago
Anyscale
Senior Cloud Security Engineer
San Francisco, California
Added 1w ago
Senior Software Engineer, Cloud Services
We won't show you this job again
Added 1w ago
HP
Senior Software Engineer, Cloud Services
San Francisco, California
Added 1w ago
New 9h ago
Customer Engineer III, Data Analytics, FSI, Google Cloud
Google·San Francisco, California
Job functions:
$152k - $221k/yr
Bachelor's degree
10,000+ employees
Job Description
This role may also be located in our Playa Vista, CA campus.
Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Atlanta, GA, USA; Austin, TX, USA; Cambridge, MA, USA; Chicago, IL, USA; Los Angeles, CA, USA; Reston, VA, USA; San Francisco, CA, USA.
As a Practice Customer Engineer specializing in Agentic Data Cloud, you will partner with Sales Specialist to differentiate Google Cloud and position data platform as the primary foundation for enterprise-grade Agentic workflows. You will serve as the technical authority responsible for accelerating technical wins, removing complex architectural blockers, and driving the adoption of specialized, mission-critical data and AI workloads. In this role, you will leverage deep domain expertise to design unified data foundation architectures and build production-grade prototypes and Minimum Viable Products. You will advocate Google Cloud's data suite, including BigQuery, Knowledge Catalog, and the Borderless Lakehouse demonstrating how Lakehouse scale, semantic cataloging, and automated data governance directly empower high-quality, trustworthy AI Agents.
In this role, you will bridge modern data architectures with real-time, agentic execution, enable customers to move from static analytics to autonomous, AI-driven experiences.You will collaborate with technical counterparts to shape customer cloud strategies, solve sophisticated data-engineering challenges, and provide a critical feedback loop directly to Product Engineering to influence roadmap development. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $152000 - $221000 (USD) + 42.86% bonus target + equity + benefits
Learn more about benefits at Google.Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Atlanta, GA, USA; Austin, TX, USA; Cambridge, MA, USA; Chicago, IL, USA; Los Angeles, CA, USA; Reston, VA, USA; San Francisco, CA, USA.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 10 years of experience with cloud native architecture in a customer-facing or support role.
- Experience with "Big Data" technologies or concepts (e.g., analytics warehousing, data processing, data transformation, data governance, data migrations, ETL, ELT, SQL, Spark, performance or scalability optimizations, batch versus streaming).
- Experience using programming languages (e.g., Python, Spark, SQL) to demo, prototype, or workshop with customers.
- Experience presenting to technical stakeholders and executive leaders on cataloging, access controls, and lineage for AI and agentic applications.
Preferred qualifications:
- Experience in technical sales or consulting in cloud computing, data analytics, and Big Data.
- Experience with developing data warehousing, data lakes, batch/real-time event processing, streaming, data processing (ETL/ELT), data migrations, data visualization tools, and data governance on cloud native architectures.
- Experience with architecture design, implementing, tuning, schema design, and query optimization of scalable and distributed systems.
- Experience with cloud computing (e.g., infrastructure, storage, platforms, data) and the cloud market, engaged dynamics, and customer buying behavior.
- Experience understanding customer requirements with the ability to break down requirements and design technical architectures.
About the job
When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You address and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.As a Practice Customer Engineer specializing in Agentic Data Cloud, you will partner with Sales Specialist to differentiate Google Cloud and position data platform as the primary foundation for enterprise-grade Agentic workflows. You will serve as the technical authority responsible for accelerating technical wins, removing complex architectural blockers, and driving the adoption of specialized, mission-critical data and AI workloads. In this role, you will leverage deep domain expertise to design unified data foundation architectures and build production-grade prototypes and Minimum Viable Products. You will advocate Google Cloud's data suite, including BigQuery, Knowledge Catalog, and the Borderless Lakehouse demonstrating how Lakehouse scale, semantic cataloging, and automated data governance directly empower high-quality, trustworthy AI Agents.
In this role, you will bridge modern data architectures with real-time, agentic execution, enable customers to move from static analytics to autonomous, AI-driven experiences.You will collaborate with technical counterparts to shape customer cloud strategies, solve sophisticated data-engineering challenges, and provide a critical feedback loop directly to Product Engineering to influence roadmap development. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $152000 - $221000 (USD) + 42.86% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Drive the technical win for complex workloads within Data Analytics to ensure rapid and successful adoption, primarily supporting the sales cycle from use case identification, technical evaluation, and through customer ramp.
- Combine sales strategies and direct development and prototyping to provide functional, customer-tailored solutions that secure buy-in from customer domain experts.
- Deliver critical feedback from customer engagements to Product and Engineering teams to improve architectures and solutions, working within their management systems to document, prioritize and drive resolution of customer feature requests and issues, while leveraging learnings from customer engagements to contribute to reusable solutions and assets with the Go-To-Market team.
- Help Enterprise customers leverage industry-specific unified data foundations to power real-time, AI-driven experiences (including predictive analytics, generative AI, and agent-driven applications), with clear strategic and technical differentiated solutions that directly address technical bottlenecks.
Google
Customer Engineer III, Data Analytics, FSI, Google Cloud
San Francisco, California
New 9h ago10,000+ employees
Job functions:
$152k - $221k/yr
Bachelor's degree
Job Description
This role may also be located in our Playa Vista, CA campus.
Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Atlanta, GA, USA; Austin, TX, USA; Cambridge, MA, USA; Chicago, IL, USA; Los Angeles, CA, USA; Reston, VA, USA; San Francisco, CA, USA.
As a Practice Customer Engineer specializing in Agentic Data Cloud, you will partner with Sales Specialist to differentiate Google Cloud and position data platform as the primary foundation for enterprise-grade Agentic workflows. You will serve as the technical authority responsible for accelerating technical wins, removing complex architectural blockers, and driving the adoption of specialized, mission-critical data and AI workloads. In this role, you will leverage deep domain expertise to design unified data foundation architectures and build production-grade prototypes and Minimum Viable Products. You will advocate Google Cloud's data suite, including BigQuery, Knowledge Catalog, and the Borderless Lakehouse demonstrating how Lakehouse scale, semantic cataloging, and automated data governance directly empower high-quality, trustworthy AI Agents.
In this role, you will bridge modern data architectures with real-time, agentic execution, enable customers to move from static analytics to autonomous, AI-driven experiences.You will collaborate with technical counterparts to shape customer cloud strategies, solve sophisticated data-engineering challenges, and provide a critical feedback loop directly to Product Engineering to influence roadmap development. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $152000 - $221000 (USD) + 42.86% bonus target + equity + benefits
Learn more about benefits at Google.Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Atlanta, GA, USA; Austin, TX, USA; Cambridge, MA, USA; Chicago, IL, USA; Los Angeles, CA, USA; Reston, VA, USA; San Francisco, CA, USA.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 10 years of experience with cloud native architecture in a customer-facing or support role.
- Experience with "Big Data" technologies or concepts (e.g., analytics warehousing, data processing, data transformation, data governance, data migrations, ETL, ELT, SQL, Spark, performance or scalability optimizations, batch versus streaming).
- Experience using programming languages (e.g., Python, Spark, SQL) to demo, prototype, or workshop with customers.
- Experience presenting to technical stakeholders and executive leaders on cataloging, access controls, and lineage for AI and agentic applications.
Preferred qualifications:
- Experience in technical sales or consulting in cloud computing, data analytics, and Big Data.
- Experience with developing data warehousing, data lakes, batch/real-time event processing, streaming, data processing (ETL/ELT), data migrations, data visualization tools, and data governance on cloud native architectures.
- Experience with architecture design, implementing, tuning, schema design, and query optimization of scalable and distributed systems.
- Experience with cloud computing (e.g., infrastructure, storage, platforms, data) and the cloud market, engaged dynamics, and customer buying behavior.
- Experience understanding customer requirements with the ability to break down requirements and design technical architectures.
About the job
When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You address and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.As a Practice Customer Engineer specializing in Agentic Data Cloud, you will partner with Sales Specialist to differentiate Google Cloud and position data platform as the primary foundation for enterprise-grade Agentic workflows. You will serve as the technical authority responsible for accelerating technical wins, removing complex architectural blockers, and driving the adoption of specialized, mission-critical data and AI workloads. In this role, you will leverage deep domain expertise to design unified data foundation architectures and build production-grade prototypes and Minimum Viable Products. You will advocate Google Cloud's data suite, including BigQuery, Knowledge Catalog, and the Borderless Lakehouse demonstrating how Lakehouse scale, semantic cataloging, and automated data governance directly empower high-quality, trustworthy AI Agents.
In this role, you will bridge modern data architectures with real-time, agentic execution, enable customers to move from static analytics to autonomous, AI-driven experiences.You will collaborate with technical counterparts to shape customer cloud strategies, solve sophisticated data-engineering challenges, and provide a critical feedback loop directly to Product Engineering to influence roadmap development. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $152000 - $221000 (USD) + 42.86% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Drive the technical win for complex workloads within Data Analytics to ensure rapid and successful adoption, primarily supporting the sales cycle from use case identification, technical evaluation, and through customer ramp.
- Combine sales strategies and direct development and prototyping to provide functional, customer-tailored solutions that secure buy-in from customer domain experts.
- Deliver critical feedback from customer engagements to Product and Engineering teams to improve architectures and solutions, working within their management systems to document, prioritize and drive resolution of customer feature requests and issues, while leveraging learnings from customer engagements to contribute to reusable solutions and assets with the Go-To-Market team.
- Help Enterprise customers leverage industry-specific unified data foundations to power real-time, AI-driven experiences (including predictive analytics, generative AI, and agent-driven applications), with clear strategic and technical differentiated solutions that directly address technical bottlenecks.
See All 348+ Cloud Sales Engineer Jobs in San Francisco
Find roles in San Francisco that match your experience and apply in just a few clicks.
Find Cloud Sales Engineer JobsCloud Sales Engineer Job Market in San Francisco
Who's Hiring
- Google53
- CRUSOE45
- OpenAI15
- Rippling15
- HP8
Top Industries Hiring
- Technology & Software91
- Science & Research15
- Artificial Intelligence15
- Cybersecurity8
Cloud Sales Engineer Jobs in San Francisco: Frequently Asked Questions
How do I get a cloud sales engineer job in San Francisco?
Focus your search on SoMa and Mission Bay, where enterprise SaaS, cloud infrastructure, and security vendors concentrate their go-to-market teams. Candidates with hands-on experience in AWS, Azure, or Google Cloud and a history of supporting complex B2B sales cycles stand out here. Familiarity with the startup-to-scale-up sales motion common in San Francisco gives you a practical edge over candidates with only enterprise backgrounds.
Which companies hire cloud sales engineers in San Francisco?
Companies currently hiring cloud sales engineers in San Francisco include Google, CRUSOE, and OpenAI, per current listings on Migrate Mate as of September 2026. San Francisco's employer mix skews toward cloud-native software vendors, cybersecurity firms, and infrastructure providers with mid-market and enterprise sales teams based downtown.
Are there remote cloud sales engineer jobs in San Francisco?
Yes, though cloud sales engineering often requires on-site customer demos and in-person discovery meetings, so fully remote roles are less common than in purely analytical tech roles. About 63% of cloud sales engineer openings tied to San Francisco are remote or hybrid as of September 2026, with the remote-eligible work concentrated in pre-sales technical support and solution architecture preparation.
How can I get a cloud sales engineer job in San Francisco with little or no experience?
The most realistic entry path is moving from a technical support or solutions consultant role at a San Francisco SaaS startup, where smaller teams let junior candidates shadow senior sales engineers on live deals. Look for associate sales engineer or technical account manager openings at growth-stage companies in SoMa and Mission Bay, where hiring bars for cloud generalists are lower than at established enterprise vendors. Strong hands-on cloud certifications and a demonstrated ability to present technical concepts to non-technical buyers close the gap quickly.
Which industries hire the most cloud sales engineers in San Francisco?
The sectors hiring the most cloud sales engineers in San Francisco are Technology & Software, Science & Research, and Artificial Intelligence, based on current listings on Migrate Mate as of September 2026. San Francisco's dense concentration of cloud-native software vendors and fintech firms creates sustained demand for sales engineers who can bridge technical architecture and commercial outcomes.
Related Jobs in California
Market Manager JobsCalifornia
Commercial Account Manager JobsCalifornia
Enterprise Sales Representative JobsCalifornia
Territory Sales Representative JobsCalifornia
Sales Account Executive JobsCalifornia
Sales Lead JobsCalifornia
Sales Training Specialist JobsCalifornia
Growth Marketing Lead JobsCalifornia
Product Marketing Specialist JobsCalifornia
See All 348+ Cloud Sales Engineer Jobs in San Francisco
Find roles in San Francisco that match your experience and apply in just a few clicks.
Find Cloud Sales Engineer Jobs