Director, Solutions Engineering

Fieldguide

$130K — $180K *
US-AnywhereRemote in United States
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years in Sales Engineering, with 3+ years in a leadership role at an enterprise SaaS or Vertical AI company
  • Experience in CPA firms, audit, advisory practices, or professional services
  • Strong technical depth on AI architecture, cloud infrastructure, security, and data integration
  • Proven track record of building Solutions Engineering teams and playbooks from scratch
  • Operating rigor in demo standards and POC execution
  • Experienced in cross-functional collaboration with Product and Engineering
  • Hands-on approach with the ability to run strategic demos and POCs

Responsibilities

  • Own the end-to-end pre-sales technical strategy and process
  • Define excellence standards for demos and POCs across the team
  • Lead technical discussions with top firm leaders on AI architecture and security
  • Develop and implement a Solutions Engineering playbook and ramp program
  • Hire, develop, and coach the Solutions Engineering team
  • Collaborate with Product and Engineering for roadmap and customer feedback
  • Create a deal coverage model for Solutions Engineers to effectively engage

Benefits

  • Opportunity to lead and shape a high-impact pre-sales function
  • Collaboration with executive leadership and cross-functional teams
  • Emphasis on career development and team empowerment
  • Access to cutting-edge AI tools and technology
  • Dynamic, innovative work environment
  • Focus on continuous improvement and team success
Full Job Description
Overview

As a Director of Solutions Engineering, reporting to the VP of Revenue, you will lead and scale our pre-sales technical function at Fieldguide. You will be a technical counterpart, who can hold their own on AI architecture, data residency, security, and platform integrations, to c-suite firm leaders (CIOs, CISOs, etc.). This role owns the demo motion, POC execution, technical close, and the playbook that gets every Solutions Engineer on the team to a consistent bar. You will work side by side with Sales, Product, Engineering, and Customer Success leadership.

What You'll Do:
  • Pre-Sales Technical Strategy: Own the end-to-end pre-sales technical motion across discovery, demo, POC, security review, and technical close. Set the technical strategy for our top strategic deals and engage on the highest-leverage opportunities.
  • Demo and POC Excellence: Define what a great demo looks like at Fieldguide and raise the bar across the team. Own POC scoping, success criteria, exit criteria, and the operating cadence that converts POCs into closed deals rather than open-ended pilots.
  • AI and Architecture Depth on Enterprise Deals: Lead technical conversations with firm CIOs, CISOs, and architecture review boards on AI architecture, data residency, model governance, security, and integration patterns. Build the bench so this is not a one-person dependency.
  • SE Enablement and Playbook: Build the Solutions Engineering playbook, ramp plan, and certification program. Standardize the reusable assets (demo flows, reference architectures, security responses, technical objection handling) so every Solutions Engineer shows up at a consistent bar.
  • Team Leadership: Hire, develop, and coach the existing Solutions Engineering team.
  • Cross-Functional Partnership: Partner with Product and Engineering on roadmap influence, customer feedback synthesis, and competitive response. Partner with Customer Success on technical handoff and post-sales continuity.
  • Deal Coverage Model: Define when Solutions Engineers engage, at what stage, and at what intensity. Build the coverage model that gives AEs leverage without spreading SEs thin.
  • Competitive Technical Positioning: Own the technical battlecards, demo objection responses, and proof points across the competitive set (Auditboard, GRC platforms, low-cost emerging entrants). Make sure every Solutions Engineer can win the technical bake-off.
  • Continuous Improvement: Iterate on the playbook, ramp, and coverage model based on win/loss patterns, technical objections, and customer feedback.
  • Day to Day AI Integration: Use AI tools daily in your own work to build demos, personalize POC environments, generate technical content, and analyze patterns across deals. We expect you to set the standard for what AI-native Solutions Engineer work looks like at Fieldguide, and to pull your team there with you.
Who You Are:
  • 8+ years in Sales Engineering, with at least 3 years in a leadership role at an enterprise SaaS or Vertical AI company.
  • Experience selling to or working within CPA firms, audit and advisory practices, or professional services.
  • Strong technical depth on modern AI architecture, cloud infrastructure, security, and data integration. You can hold a credible conversation with a firm CIO without needing backup.
  • Proven track record building Solutions Engineering teams, playbooks, and ramp programs from the ground up.
  • Operating rigor on demo standards, POC execution, and technical forecast accuracy. You measure your team and your motion.
  • Strong cross-functional muscle with Product and Engineering. You have influenced roadmaps while maintaining collaborative relationships.
  • Comfortable in the trenches. You will still run the most strategic demos and POCs.
  • Low ego, constant learner, coachable in real time.
Success Metrics
  • Win rate and average deal size on SE-supported strategic deals.
  • Reduction in technical-cycle time from discovery to technical close.
  • POC-to-close conversion rate and time-in-POC.
  • SE team ramp time and quota attainment.
  • Adoption of the SE playbook and reusable assets across the team.
  • Roadmap influence: customer-driven product priorities sourced through SE feedback.

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