About The Position

Salesforce is seeking a Solution Engineer for its Public Sector high-leverage 'acceleration' function for Government. This role sits at the intersection of pre-sales and delivery, helping customers transition from interest and pilots to production-grade solutions with measurable usage and value, and then scaling what works through reusable assets and enablement. As a Solution Engineer, you will be a customer-facing technical trusted advisor and hands-on builder, leading technical discovery, shaping and executing proof points for customer environments, guiding production readiness, and establishing a clear path to activation and consumption. This role blends executive presence with deep, full-stack technical skills across Salesforce, modern data architectures, and AI. The SE builder is focused on 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.

Requirements

  • 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.

Nice To Haves

  • 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.

Responsibilities

  • 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

Benefits

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