Principal, AFD360 Solution Engineer
Salesforce2 LocationsPosted 6 April 2026
Job Description
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Sales
Job Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
About AFD360
AFD360 is Salesforce’s high-leverage 'agentic acceleration' function for Agentforce and Data Cloud in regulated industries. We sit at the intersection of pre-sales and delivery to help customers move from interest and pilots to production-grade agents with measurable usage and value—then scale what works through reusable assets and enablement.
The Opportunity
As an AFD360 SE, you are a customer-facing technical trusted advisor and hands-on builder. You will lead technical discovery, shape and execute proof points in customer environments, guide production readiness, and establish a clear path to activation and consumption—blending executive presence with deep, full-stack technical skills across Salesforce, modern data architectures, and AI.
Role Description
The AFD360 SE (Agentforce Data Cloud) is focused on a single transformative goal: helping customers become a true Agentic Enterprise by operationalizing Data AI Trust. You will serve as a definitive SME for Agentforce and Data Cloud and guide customers across the lifecycle—from technical evaluation and close through activation, adoption, and expansion.
Your Impact
Design and run workshops, demos, and time-boxed POCs/pilots—scope the work, define success metrics, execute, and deliver a clean handoff to production lanes
Lead deep technical business discovery to scope MVP agentic use cases—translate outcomes/ROI into an executable architecture and activation plan
Build secure, scalable Agentforce Data Cloud solutions to validate technical feasibility and production readiness
Drive activation—partner with customers on agent definition, configuration, and deployment strategy to accelerate production readiness
De-risk the path to value—assess feasibility across data, security/compliance, orchestration, and operational readiness to ensure the selected use case can scale and be adopted by real users
Serve as an expert technical overlay for internal teams and customers—accelerate scalable agent builds while enabling a self-sufficient agentic capability through reusable patterns, guardrails, and enablement
Evangelize Agentforce enablement across REG—socialize current capabilities, roadmap updates, and best practices; capture and scale field learnings
Work closely with Product, FDE, and cross-OU AI SMEs to continuously sharpen technical depth, close skill gaps, and influence roadmap through structured feedback loops
Identify automation and process improvement opportunities—intake both process and technical requirements to remove friction and accelerate activation
Monitor early consumption/performance; advise on optimization and consumption plan updates
Understand consumption levers and model anticipated consumption spend based on architecture and usage patterns
Own a crisp POC→production transition—coordinate accountable delivery lanes (customer CoE, SI, ProServ, FDE, CS) and execute clean handoffs to ensure durable activation and scalable outcomes
Build reusable accelerators (POC assets, playbooks, best practices) and enable others to scale delivery
Drive Voice of the Customer into Product; inform messaging/plays with Product Marketing
Represent Sale ... (truncated, view full listing at source)
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