Senior Technical Architect, Partner Solutions
California - San Francisco, United States
Full Time Senior-level / Expert USD 184K - 276K
Salesforce
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Job Category
Customer SuccessJob Details
About Salesforce
We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.
Role Overview
The Technical Architect, Partner Solutions Team plays a pivotal role in co-creating and delivering AI, Data, and CRM solutions in partnership with global system integrators (GSIs) and strategic Salesforce Partners. You will provide technical expertise, thought leadership, and pre-sales GTM support, helping Partners integrate Salesforce, Agentforce & Data Cloud into their solutions, driving innovation, customer value, and revenue growth. In this role, you will work closely in advising Partners to ensure scalable solutions that align with their strategic goals and are GTM-ready.
Your Impact:
Technical Co-Creation: Collaborate with Partners to co-create, validate, and scale Agentforce solutions that align with Salesforce’s product roadmap. Your ability to assess, review, and enhance Partner solutions will be instrumental in driving successful implementations and customer outcomes.
Salesforce Integration: Provide expert guidance on integrating Salesforce's AI and Data Cloud into Partner use cases, ensuring Partners leverage the unique capabilities of Einstein and Data Cloud to solve critical business challenges for clients.
Thought Leadership: Drive the AI and data strategy for Partners, crafting reusable assets, reference architectures, and proof-of-concepts that build mindshare by demonstrating the business value of Salesforce AI products. This includes joint demos, technical assets, and customer success stories that build the Salesforce AI narrative.
GTM Activation: Support and drive the go-to-market strategies for co-created solutions by working cross-functionally with sales, product, and service teams. Ensure the Partner solutions are launched effectively, contributing to pipeline generation, ACV growth, virtuous consumption and market-making headlines.
Pre-Sales: Work as an extension of Partner sales teams to provide technical advisory and product expertise during implementation. This includes assisting with troubleshooting and aligning product capabilities to Partner needs, fostering a culture of mutual success.
Solution Architecture: Deliver technical leadership by conducting architectural reviews and suggesting enhancements for Partner solutions, ensuring they are scalable, reusable, and aligned with best practices.
Preferred Qualifications
Proven experience in AI and data architecture, with a deep understanding of cloud-based platforms, CRM systems, and AI/agentic frameworks like LangChain/LangGraph solutions.
Strong background with Hyperscalers and Data Clouds like AWS, GCP, Snowflake and Databricks.
Strong background in Salesforce platform, particularly in Agentforce, Data Cloud and Einstein products.
Advanced AI/ML: Exposure to frameworks (TensorFlow, PyTorch), MLOps practices, and cloud AI platforms (e.g., Google Vertex AI, AWS Sagemaker). Hands-on work with Generative AI, Large Language Models (LLMs), agent-based frameworks, and prompt engineering.
Experience in engaging with GSIs or large enterprise Partners to co-create technical solutions and drive customer success.
Demonstrated ability to align Partner strategies with technical solutions and execute large-scale go-to-market campaigns.
Strong collaboration skills to work cross-functionally with product, sales, and marketing teams.
Ability to drive complex technical conversations with a focus on business outcomes and customer value.
Strength in Partner & stakeholder management, driving accountability and action while context switching across Partners & priorities.
Passion for AI and data, with a desire to stay ahead of the curve in the rapidly evolving field of AI applications, LLMs and autonomous agentic frameworks.
Note: This role is office-flexible, and the expectation is to be in-office a minimum of three days per week.
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Posting Statement
At Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at www.equality.com and explore our company benefits at www.salesforcebenefits.com.
Salesforce is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce does not accept unsolicited headhunter and agency resumes. Salesforce will not pay any third-party agency or company that does not have a signed agreement with Salesforce.
Salesforce welcomes all.
Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.For New York-based roles, the base salary hiring range for this position is $200,800 to $276,100.For Washington-based roles, the base salary hiring range for this position is $184,000 to $253,000.For California-based roles, the base salary hiring range for this position is $200,800 to $276,100.For Illinois based roles, the base salary hiring range for this position is $184,000 to $253,000.Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: https://www.salesforcebenefits.com.Tags: Architecture AWS Databricks Data strategy Engineering GCP Generative AI LangChain LLMs Machine Learning MLOps Prompt engineering PyTorch SageMaker Salesforce Snowflake TensorFlow Vertex AI
Perks/benefits: Equity / stock options Flex hours
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