Own Technical Enablement
- Own the design and execution of technical enablement for Solutions Engineering, including onboarding, product launches, competitive positioning, and skills development
- Deliver high-impact live, virtual and on demand training, certifications, and workshops
- Define competency frameworks and partner with leadership on team development
- Expand technical fluency across the broader GTM organization where relevant
- Measure and improve readiness through clear performance metrics
Build Agentic Enablement Systems
- Design and deploy AI workflows and agents that support technical sellers in their daily workflows (e.g., discovery prep, demo support, objection handling, knowledge retrieval)
- Systematically automate repeatable enablement activities to improve scale and consistency
- Partner cross-functionally to prioritize, launch, and drive adoption of AI-powered field solutions
Scale Enablement Through AI
- Identify and implement high-impact AI use cases across content, operations, and program delivery across the enablement team
- Build agents and shared workflows that increase leverage across the team and teach team how to use and replicate so capability grows
- Own the AI structure and foundation that ensures effective, consistent, scalable solutions across the team
- Model AI-native ways of working and help others adopt them
Drive Cross-Functional Impact
- Collaborate with GTM, Product, PMM, RevOps, and Field Operations to align enablement with business priorities
- Represent technical field needs in roadmap and prioritization discussions
- Manage programs end-to-end, from scoping through execution and iteration
- Play an active role in GTM operating rhythms, including COE reviews, QBRs, and leadership updates
Qualifications
- 8+ years in a SaaS technical GTM role (e.g., Solutions Engineering, Solutions Architecture, Technical Sales, or Enablement)
- Experience delivering technical training and enablement programs for field teams
- Hands-on experience building AI-driven tools, agents, or automations with real-world usage
- Strong technical fluency, including the ability to read and debug code
- Experience with modern AI tooling (e.g., Relevance AI, Claude, LangChain)
- Deep understanding of the technical sales lifecycle and field engagement models
- Familiarity with value-based selling methodologies (e.g., MEDDPICC, Force Management)
- Experience with common GTM tools (e.g., Salesforce, Gong, Highspot, Outreach)
- Strong program management and execution skills
Nice to Haves
- Programming experience (Python or JavaScript)
- SQL for data analysis and workflow troubleshooting
- Familiarity with LaunchDarkly or similar developer-focused platforms
- Background in high-growth developer tools, API-first, or AI/ML companies
Compensation
Target pay ranges based on Geographic Zones for Level 5:
- Zone 1 (San Francisco/Bay Area, NYC, Boston, Seattle): $152,000 - $210,000
- Zone 2 (Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago): $137,000 - $189,000
- Zone 3 (All other US locations): $129,000 - $178,000
Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary.