Senior Manager, AI and Innovation (Salesforce exp is a must)
Salesforce · Posted Oct 8
Customer relationship management, cloud computing, enterprise software, and artificial intelligence solutions
Get a personal compatibility score
Add a resume for personal matches
About the role
Salesforce is the #1 AI CRM, and this role sits in the AI and Innovation function within the delivery/Customer Success organization, which designs, scales, and governs AI and Agentforce-driven architectures for customers. The team works across LLM-based systems, agentic frameworks, and automation platforms, translating business goals into scalable, secure AI architectures. This role acts as both strategist and hands-on orchestrator, owning architecture strategy, governance, standards, and end-to-end technical quality of AI solutions while mentoring architects and shipping working agents and integrations.
What you will do
- Define and evolve the technical architecture strategy for AI initiatives, aligning with broader business and platform roadmaps.
- Evaluate emerging AI technologies (LLMs, agentic frameworks, automation platforms) and recommend where they create differentiated value.
- Partner with delivery, product, and engineering leadership to translate business goals into scalable, secure, and maintainable AI architectures.
- Establish architectural standards, patterns, and best practices for AI solution design across teams.
- Assess technical risk, feasibility, and total cost of ownership for proposed AI initiatives.
- Coordinate cross-functional teams (engineering, data, product, delivery) to ensure AI solutions are designed, built, and deployed cohesively.
- Serve as the technical glue between strategy and execution — ensuring architecture decisions are implemented consistently across squads and projects.
- Facilitate technical governance forums, architecture reviews, and design decision checkpoints.
- Drive alignment between multiple parallel AI workstreams, resolving dependencies and technical conflicts.
- Mentor and enable technical teams and solution architects on AI-first design principles.
- Ship working AI solutions hands-on — prototype, build, and iterate quickly rather than only designing on paper.
- Take ideas from concept to production, personally building agents, automations, and integrations when needed to prove value fast.
- Champion a bias for action: favor working demos and MVPs over long design documents.
- Continuously experiment with new AI tools and techniques, bringing working proofs-of-concept back to the team.
- Balance speed of shipping with architectural soundness, ensuring builds are scalable beyond the prototype stage.
- Own end-to-end technical quality of AI solutions from design through production readiness.
- Define and monitor architecture health metrics (scalability, reliability, cost-efficiency, security posture).
- Ensure compliance with data governance, responsible AI, and security standards across all AI implementations.
- Provide technical escalation support for complex AI/architecture issues across the portfolio.
Skills used in this role
What the employer is looking for
- 13+ years of experience in software/solution architecture, with demonstrated depth in AI/ML or agentic systems architecture.
- Proven experience architecting and delivering enterprise-scale AI solutions (e.g., LLM-based systems, automation platforms, Agentforce, or equivalent).
- Strong grasp of cloud-native architecture, integration patterns, and platform scalability principles.
- Demonstrated ability to operate as both a strategic thinker and hands-on technical orchestrator across multiple teams.
- Experience with Salesforce platform architecture is highly valued.
- Excellent stakeholder management and communication skills — able to translate technical concepts for both technical and non-technical audiences.
Preferred qualifications
- Salesforce Certified Technical Architect (CTA) or equivalent architecture certification.
- Experience leading AI governance, responsible AI, or AI risk frameworks.
- Track record of mentoring architects and senior engineers.
- Exposure to multi-org, multi-cloud, or complex enterprise topology environments.
- Hands-on experience building and deploying AI agents (e.g., Agentforce, custom agent frameworks) in real-world settings.
- Practical experience with AI tools such as Gemini, Cursor, and Claude for coding, prototyping, or workflow automation.
- Familiarity with prompt engineering, LLM orchestration, and agentic tool-use patterns.
- Comfortable working directly in code/config to build and ship — not purely a design-and-document architect.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Salesforce
Salesforce, Inc. is a leading global cloud-based enterprise software company specializing in customer relationship management (CRM) and artificial intelligence solutions. Through its integrated Customer 360 platform, the company provides applications for sales, customer service, marketing automation, e-commerce, and analytics. Powered by innovations like Agentforce, Salesforce helps businesses bridge human capability with autonomous AI agents to drive customer success.
- Industry
- Cloud Computing
- Company size
- 87000+ employees
- Founded
- 1999
- Location
- San Francisco, California, USA
- Funding stage
- Public Company
Funding
Public Company · $25B raised
- 2026-03Post-IPO Debt$25B
- 2003-01Venture Round$1M
- 2001-06Series D$46.9M
- 1999-11Series C$13.2M
- 1999-06Series B$3.8M
Leadership
Chair, Chief Executive Officer & Co-Founder
President & Chief Operating and Financial Officer
Co-Founder & Chief Technology Officer, Slack
President & Chief Strategy Officer
Recent coverage
Dealroom
Salesforce to Acquire Listen Labs to Expand AI Research Capabilities2026-09-29
Stock Titan
Salesforce Highlights Margin Expansion and Growth Targets at 2026 Investor Day2026-09-17
Salesforce News
Live Nation Makes Show Day Easier for Fans With Salesforce's Agentforce2026-09-16
Investing.com
Salesforce Prices Record $25 Billion Senior Notes Offering for Share Repurchase2026-03-12