Account Solution Engineer, Federal Region (All Levels)
Description
Be part of Salesforce’s Public Sector high-leverage ‘acceleration' function for Government. We sit at the intersection of pre-sales and delivery to help customers move from interest and pilots to production-grade solutions with measurable usage and value—then scale what works through reusable assets and enablement.
The Opportunity
As a Solution Engineer, you are a customer-facing technical trusted advisor and hands-on builder. You will lead technical discovery, shape and execute proof points for 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 SE builder is focused on a single transformative goal: helping customers accelerate time to value with Salesforce technology Apps + Data + AI + Trust. You will serve as a definitive SME for our government solutions 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 POC use cases—translate outcomes/ROI into an executable architecture and activation plan
Build secure, scalable Agentforce + Data Cloud + Applications solutions to validate technical feasibility and 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 POC builds while enabling reusable patterns, guardrails, and enablement to the broader team.
Work closely with Product, FDE, and cross-OU 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
Own a crisp POC→customer transition—hand off to accountable delivery lanes (customer CoE, SI, ProServ, FDE) and execute clean transfer 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
Required Qualifications
7+ years customer-facing solution/technical architecture (pre-sales, consulting, implementation) with increasing scope/influence.
Hands-on Agentforce (AI), Data Cloud, and Platform builder who can prototype and unblock (deep expertise with platform patterns; building workflows/automation and guiding agent build and data 360 best practices).
Agentic + AI fluency: practical understanding of LLMs, RAG/grounding, evaluation concepts, agentic engineering tools and how agentic systems behave in production (safety, reliability, governance).
Deep discovery + MVP scoping: ability to run technical & business discovery to define MVP agentic use cases, success metrics, and a feasible execution plan.
Executive + technical communication: able to lead whiteboards and communicate with developers and C-suite with equal fluency—translate architecture to outcomes/ROI.
Proven POC/pilot leadership: designs time-boxed proof points with measurable success criteria and clean transition to production lanes.
Growth mindset: willingness to continually sharpen technical/advisory skills through required enablement, labs, courses, and certifications.
Preferred Qualifications
Strong engineering depth: Apex and Lightning Web Components (or equivalent) and comfort operating across the SDLC; experience with “vibe coding” tooling is a plus.
Experience with agentic engineering tools (Cursor, Claude Code, Agentforce Vibes, etc)
SQL and/or Python proficiency (Jupyter/pandas helpful) and comfort with modern cloud data platforms/analytics tooling (Snowflake/Databricks/BigQuery; Tableau/Looker/Power BI).
Experience with other agent platforms (e.g., Gemini/Agentspace or similar) and broader AI automation implementations.
Consumption/business modeling: understands consumption levers and can map anticipated consumption spend from architecture/usage patterns (especially valuable for internal candidates).
Public Sector background: Federal Civilian, DoW, Aerospace, Intel experience strongly preferred.