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Lead Solution Engineer - Financial Services

Job in Arvada, Jefferson County, Colorado, 80004, USA
Listing for: Centaur Labs
Full Time position
Listed on 2026-05-31
Job specializations:
  • IT/Tech
    AI Engineer, Cloud Computing
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Role Overview

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.

The Lead Solution Engineer plays a pivotal role in aligning innovative strategies to technology solutions within complex accounts across the Financial Services vertical (including banking, insurance, wealth management, capital markets, and lending). As a dynamic blend of business consultant and technologist, you will act as the 'front door for IT,' navigating deeper technical waters to help customers connect with their clients in new ways.

Key Responsibilities
  • A Solution Engineer plays a pivotal role in aligning innovative strategies to technology solutions within complex accounts. This role focuses on partnering with clients and collaborating with internal team members to drive consensus on multi-product technology solutions across the various Salesforce product lines.
  • Solutions Engineers work on a wide array of assignments including business development, operations and IT strategies, as well as product demonstrations. This person must assume the role of trusted advisor for driving innovative solutions forward while also improving business performance.
  • Business Problem Solving & Solutioning:
    Take ambiguous and sophisticated business problems, define the opportunity set, and recommend practical next steps. You will discover customer business needs, analyze requirements, and ultimately position the best Salesforce multi-product solutions.
  • Architectural Guidance:
    Convey a deep understanding of the customer's enterprise architecture. Evangelize the value proposition of the Salesforce Platform, including Financial Services Cloud, Headless

    CRM, Hyperforce, Data 360, Agentforce, Mule Soft, and Slack, while educating customers on customization and integration possibilities.
  • AI & Data Strategy:
    Develop technical Points of View (POVs) on the Context Architecture for AI (including RAG, grounding, and real-time data pipelines), Agentic AI Governance, and Hybrid Architecture (human + autonomous enterprise). Run customer-facing hands‑on workshops with customers, and partner together for executing POCs (proof of concepts).
  • Connect Experiences:
    Demonstrate through both executive-level and business-level software demos and rapid prototyping how connected experiences come to life. Build customized solutions tailored to multiple personas, showcasing how Salesforce will accelerate their business strategies. Leverage agentic coding solutions (like Claude Code, Cursor, and more) to bring these custom demos to life.
  • Innovation & Consensus Management:
    Bring focus to a client's decision‑making process by evaluating solution options (such as build vs. buy) and driving consensus among key C‑level collaborators and IT stakeholders.
  • Cross‑Functional Orchestration:
    Lead cross‑functional solutions guides, align them to the opportunity strategy, and share best practices with the broader Solution Engineering community.
Required Qualifications
  • B.S. in Computer Science, Software Engineering, MIS, or equivalent relevant experience.
  • Minimum of 5 years of professional experience working in a collaborative team to solve technical problems in varied political environments.
  • Deep knowledge of enterprise software applications, relational databases, web technology, integration principles, and process orchestration.
  • Experience with machine learning concepts (predictive and generative AI), including GenAI usage experience and the ability to evaluate emerging AI/Data technologies.
  • Exceptional executive presence with solid oral, written, presentation, and interpersonal skills to articulate complex topics effectively to both C‑suite leaders and technical decision‑makers.
  • Willingness and ability to travel based on territory alignment.
Preferred Qualifications
  • Proven experience working as an architect, solution engineer, IT…
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