Head of Solution Engineering
Domain
Tech Stack
Must-Have Requirements
- ✓10+ years of hands-on solution engineer, solutions architecture, or enterprise consulting
- ✓5+ years managing teams or leading cross-functional programs
- ✓Proven success scaling POC programs and converting technical validations into customer implementations and revenue
- ✓Strong people leader with experience hiring, coaching, and building repeatable enablement
- ✓Comfortable briefing C-level technical and business stakeholders
- ✓Startup grit and cross-functional influence
Nice to Have
- -Deep experience in enterprise integration patterns (APIs, SSO/OAuth, data pipelines)
- -Insurance ecosystem integrations (Guidewire, Duck Creek, Majesco, etc.)
- -Background in AI/ML/agentic products
- -Security/compliance in regulated industries
- -Prior experience building demonstration/POC asset libraries
Description
Head of Solution Engineering / Solution Engineering Manager (M3–M5)
Title
Head of Solution Engineering / Solution Engineering Manager
Level
M3–M5 (Manager → Head) Reports to
: CRO
About Liberate
Liberate builds AI agents to automate manual tasks for the $2.7T insurance industry. We started with voice — the hardest and most valuable channel in insurance — and are now expanding into full workflow automation across sales, servicing, and claims. Our long-term vision is to build reasoning agents capable of handling the entire spectrum of insurance carrier and broker operations. We've raised $72M to date, including a $50M Series B in October 2025, backed by top-tier venture firms. Why this role You will build and run Liberate’s Solution Engineering function to accelerate enterprise sales pursuits and de-risk delivery. Your mission is to scale a high-performing team that builds executive demonstrations, runs production-grade POCs, partners with deployments to conduct technical workshops, and uses value-chain insights to close gaps and drive measurable customer value — ultimately, coordinating the customer experience from pre-sales to post-sales to drive meaningful customer usage growth. What you’ll own
People & org
Hire, ramp, and develop SEs; define career ladders, calibration, and promotion criteria.
Process & ops
Own SE operating model — demonstration library, POC templates, workshop playbooks, runbooks, and SOW assumptions. Ensure predictable POC → pilot → production flow.
GTM partnership
Embed SEs with Account Directors and Sales Leaders; de-risk technical commitments on largest deals; provide executive briefing capability.
Delivery & enablement
Drive pre-sales standards (architecture, SSO, APIs, security) and ensure deployment teams have watertight handoffs and acceptance criteria.
Value-chain strategy
Lead discovery & value-chain analysis workstream for strategic accounts; quantify gaps and translate into POC and product priorities.
Product influence & risk management
Surface reproducible product gaps to Product, shape roadmap, and own technical risk mitigation across deals.
Metrics & outcomes
Define and report team KPIs (POC cycle time, conversion %, demonstration reuse, ramp time, customer NPS where applicable). Must-have 10+ years of hands-on solution engineer, solutions architecture, or enterprise consulting; 5+ years managing teams or leading cross-functional programs. Deep experience in enterprise integration patterns (APIs, SSO/OAuth, data pipelines) and insurance ecosystem integrations (Guidewire, Duck Creek, Majesco, etc.) a plus. Proven success scaling POC programs and converting technical validations into customer implementations and revenue. Strong people leader with experience hiring, coaching, and building repeatable enablement. Comfortable briefing C-level technical and business stakeholders. Startup grit and cross-functional influence. Nice-to-have Background in AI/ML/agentic products, security/compliance in regulated industries, or prior experience building demonstration/POC asset libraries. Salary Information: $180,000 to $225,000 base salary (depending on experience and location), plus commission, stock and benefits