Fieldguide

2 months ago

Director, Solutions Engineering

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Lead and scale Fieldguide’s pre-sales technical function, owning the end-to-end pre-sales motion from discovery through technical close. Own AI architecture depth, data residency, security, and platform integrations for enterprise deals. Build and enable a high-performing Solutions Engineering team, collaborating with Sales, Product, Engineering, and Customer Success to consistently win strategic opportunities.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•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.

Pay and Benefits

Salary: USD 220,000 - 240,000 annually

Equity and Bonus:Equity

Key Requirements

•8+ years in Sales Engineering, with at least 3 years in a leadership role at an enterprise SaaS or Vertical AI company.

Experience:8+ yearsEnterprise SaaSCPA firmsAuditProfessional services

Skills:LeadershipCommunicationCross-functionalProblem-solvingTeam-building

Tech Stack:AICloudSecurityData residencyIntegrationDemoPOC

Company Brief

Fieldguide

Provides an agentic AI platform that automates and manages end-to-end audit, advisory, and compliance engagements for CPA and consulting firms, improving efficiency, margins, and client outcomes.

Industry: Enterprise Software

Company Size: Medium (51 to 250 employees)

Revenue: USD 1M to 5M

Growth: Growth Stage Startup

Funding: Series B

Headquarters: San Francisco, United States

Founded: 2020

Glassdoor: 4.6

Website LinkedIn Glassdoor

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Fieldguide

2 months ago

Director, Solutions Engineering

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•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.

Pay and Benefits

Salary: USD 220,000 - 240,000 annually

Equity and Bonus:Equity

Key Requirements

•8+ years in Sales Engineering, with at least 3 years in a leadership role at an enterprise SaaS or Vertical AI company.

Experience:8+ yearsEnterprise SaaSCPA firmsAuditProfessional services

Skills:LeadershipCommunicationCross-functionalProblem-solvingTeam-building

Tech Stack:AICloudSecurityData residencyIntegrationDemoPOC

Company Brief

Fieldguide

Provides an agentic AI platform that automates and manages end-to-end audit, advisory, and compliance engagements for CPA and consulting firms, improving efficiency, margins, and client outcomes.

Industry: Enterprise Software

Company Size: Medium (51 to 250 employees)

Revenue: USD 1M to 5M

Growth: Growth Stage Startup

Funding: Series B

Headquarters: San Francisco, United States

Founded: 2020

Glassdoor: 4.6

Website LinkedIn Glassdoor