Professional Services Consultant Jobs in San Francisco, CA
Professional Services Consultant jobs in San Francisco concentrate in the Financial District, SoMa, and Mission Bay, with steady demand across technology, financial services, and healthcare. Employers hiring right now include Amazon Web Services, Pendo, and Ripple. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 11+ Professional Services Consultant jobs
DESCRIPTION
Application deadline: Jun 25, 2026
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.
Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.
The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.
Key job responsibilities
As an experienced Senior AI/ML Consultant, you will be responsible for:
Designing, implementing, and building complex, scalable, and secure GenAI and ML applications and models built on AWS tailored to customer needs
Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services
Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies
Acting as a trusted advisor to customers on industry trends and emerging technologies
Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
About the team
About AWS:
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture - Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth - We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
BASIC QUALIFICATIONS
- 5+ years of machine learning, statistical modeling, data mining, and analytics techniques experience
- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 3+ years of customer-facing work, engaging with customer executives, technologists or partners to solve business problems with advanced technologies experience
- 4+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience
- 3+ years of coding, data querying languages (e.g. SQL), scripting languages (e.g. Python)
PREFERRED QUALIFICATIONS
- Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies
- Experience communicating technical concepts to diverse audiences in pre-sales environments
- Experience building and operating a cloud-based architecture
- Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CA, San Francisco - 176,600.00 - 239,000.00 USD annually
USA, CO, Denver - 153,600.00 - 207,800.00 USD annually
USA, GA, Atlanta - 153,600.00 - 207,800.00 USD annually
USA, IL, Chicago - 153,600.00 - 207,800.00 USD annually
USA, NJ, Jersey City - 169,000.00 - 228,600.00 USD annually
USA, NY, New York - 169,000.00 - 228,600.00 USD annually
USA, TX, Dallas - 153,600.00 - 207,800.00 USD annually
USA, VA, Arlington - 153,600.00 - 207,800.00 USD annually
USA, VA, Herndon - 153,600.00 - 207,800.00 USD annually
USA, WA, Seattle - 153,600.00 - 207,800.00 USD annually
DESCRIPTION
Application deadline: Jun 25, 2026
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.
Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.
The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.
Key job responsibilities
As an experienced Senior AI/ML Consultant, you will be responsible for:
Designing, implementing, and building complex, scalable, and secure GenAI and ML applications and models built on AWS tailored to customer needs
Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services
Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies
Acting as a trusted advisor to customers on industry trends and emerging technologies
Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
About the team
About AWS:
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture - Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth - We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
BASIC QUALIFICATIONS
- 5+ years of machine learning, statistical modeling, data mining, and analytics techniques experience
- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 3+ years of customer-facing work, engaging with customer executives, technologists or partners to solve business problems with advanced technologies experience
- 4+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience
- 3+ years of coding, data querying languages (e.g. SQL), scripting languages (e.g. Python)
PREFERRED QUALIFICATIONS
- Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies
- Experience communicating technical concepts to diverse audiences in pre-sales environments
- Experience building and operating a cloud-based architecture
- Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CA, San Francisco - 176,600.00 - 239,000.00 USD annually
USA, CO, Denver - 153,600.00 - 207,800.00 USD annually
USA, GA, Atlanta - 153,600.00 - 207,800.00 USD annually
USA, IL, Chicago - 153,600.00 - 207,800.00 USD annually
USA, NJ, Jersey City - 169,000.00 - 228,600.00 USD annually
USA, NY, New York - 169,000.00 - 228,600.00 USD annually
USA, TX, Dallas - 153,600.00 - 207,800.00 USD annually
USA, VA, Arlington - 153,600.00 - 207,800.00 USD annually
USA, VA, Herndon - 153,600.00 - 207,800.00 USD annually
USA, WA, Seattle - 153,600.00 - 207,800.00 USD annually
See All 11 Professional Services Consultant Jobs in San Francisco
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Find JobsProfessional Services Consultant Job Market in San Francisco
Who's Hiring
- Amazon Web Services4
- Pendo1
- Ripple1
- Stantec1
- EisnerAmper1
Top Industries Hiring
- Distribution & Wholesale4
- Banking & Financial Services2
- Accounting & Auditing1
- Technology & Software1
- Investment & Asset Management1
Professional Services Consultant Jobs in San Francisco: Frequently Asked Questions
How do I get a professional services consultant job in San Francisco?
Target technology companies in SoMa and Mission Bay, financial services firms in the Financial District, and the growing healthcare and life sciences employers around Mission Bay and the Medical Center. San Francisco employers place a premium on candidates who can manage complex client relationships and translate technical solutions into business outcomes. Familiarity with enterprise software implementations or professional services delivery cycles gives you a concrete edge in this market.
Which companies hire professional services consultants in San Francisco?
Employers hiring professional services consultants in San Francisco right now include Amazon Web Services, Pendo, and Ripple, based on current listings on Migrate Mate as of June 2026. The local market is particularly active among enterprise software firms, financial services companies, and management consulting practices with Bay Area headquarters or regional offices in the city.
Are there remote professional services consultant jobs in San Francisco?
Yes, though availability depends heavily on the role: strategic and analytical work is routinely done remotely, while client-facing implementation and on-site delivery phases typically require in-person presence. About 0% of professional services consultant openings tied to San Francisco are remote or hybrid as of June 2026, with hybrid arrangements most common at the technology firms concentrated in SoMa and Mission Bay.
How can I get a professional services consultant job in San Francisco with little or no experience?
The most realistic entry path in San Francisco is through associate or junior consultant roles at mid-size technology vendors and SaaS companies in SoMa, many of which hire candidates with strong analytical skills and a relevant bachelor's degree rather than prior consulting experience. Roles such as implementation specialist, onboarding analyst, or customer success associate frequently serve as the first step into a professional services career at these firms. Highlighting any project management coursework, client-facing internship experience, or familiarity with enterprise tools strengthens your application in this market.
Which industries hire the most professional services consultants in San Francisco?
The sectors hiring the most professional services consultants in San Francisco are Distribution & Wholesale, Banking & Financial Services, and Accounting & Auditing, based on current listings on Migrate Mate as of June 2026. San Francisco's concentration of enterprise technology headquarters, major financial institutions in the Financial District, and expanding healthcare and life sciences campuses around Mission Bay collectively drive the sustained local demand for this role.
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