Build and lead a best-in-class team of Data & AI Technical Architects.
Recruit and mentor senior-level architects.
Establish clear technical standards, architectural principles, and operating rhythms.
Partner with Sales Leadership to define coverage and engagement models.
Serve as a technical executive sponsor for strategic customers.
Champion customer outcomes across the full lifecycle.
Design and scale repeatable technical evaluation motions, including architectural workshops, POVs, POCs, and reference designs.
Drive alignment with Product and Engineering to stay ahead of the Data & AI roadmap.
Work closely with the Partner Ecosystem to develop offerings, use cases, and GTM strategies.
Develop scalable, reusable technical assets, patterns, and enablement.
Own Salesforce's point of view on enterprise data and AI architecture.

Requirements

10+ years in Solution Engineering, Technical Architecture, Technical Sales, or related technical GTM leadership across Data, Analytics, and AI domains.
Demonstrated success hiring, developing, and scaling teams of senior technical architects or equivalent customer-facing technical leaders.
BS in Computer Science, Engineering, Data Science, or equivalent experience; advanced degree preferred.
Strong technical credibility across enterprise data platforms, AI/ML concepts, integration patterns, and Salesforce architecture, including practical familiarity with Agentforce, Data360, and the broader Salesforce platform.
Working knowledge of agent interoperability standards, for example MCP and A2A, and the broader external agent ecosystem.
Understanding of agent design, prompt and instruction patterns, evaluation strategy, and applied Generative AI.
Proven ability to engage and influence C-level executives, including CDOs, CIOs, and CTOs.
Data-driven leader with a history of defining and outperforming against technical GTM metrics such as architectural win rates, attach influence, reusable asset adoption, and time-to-value for AI and data initiatives.
Experience driving success inside large, matrixed enterprise sales organizations.
Track record of leadership recognition, customer impact, and measurable business outcomes.
Deep understanding of enterprise data governance, industry-specific data challenges, modern architectural patterns, and complex integration strategies across heterogeneous environments.
Familiarity with platforms such as Informatica or Collibra is a plus.
Exceptional communicator and storyteller, able to translate complex Data and AI architectures into executive-level value narratives.
Familiarity with the Partner Ecosystem and experience co-developing GTM strategies with SI and ISV partners.
Ability to scale impact through reusable patterns, AI-native workflows, and strong operating discipline.

Benefits

time off programs
medical
dental
vision
mental health support
paid parental leave
life and disability insurance
401(k)
employee stock purchasing program

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Solution EngineeringTechnical ArchitectureTechnical SalesData AnalyticsAI/ML conceptsSalesforce architectureAgent interoperability standardsGenerative AIData governanceIntegration strategies

Soft Skills

LeadershipMentoringCommunicationInfluencing C-level executivesCustomer engagementStorytellingTeam developmentTechnical credibilityOperational disciplineCustomer impact

Certifications

BS in Computer ScienceBS in EngineeringBS in Data ScienceAdvanced degree preferred