Technical and Agentic Enablement Lead

About the role

This position combines technical enablement expertise with the creation of AI systems to enhance scalability. You will lead the technical enablement program for our Solutions Engineering team and collaborate with Solutions Architects to boost technical understanding across the organization. Simultaneously, you will develop and implement AI solutions to improve field team effectiveness and streamline enablement processes.

Key facts

What you'll do

• Design and deliver technical training for Solutions Engineering, covering onboarding, new product introductions, competitive analysis, and skill development.
• Conduct live, virtual, and on-demand training sessions, certifications, and workshops.
• Establish competency standards and work with leadership on team growth strategies.
• Enhance technical proficiency within the broader Go-To-Market (GTM) organization.
• Track and improve team readiness using defined performance indicators.
• Create and deploy AI workflows and agents to assist technical sales professionals with tasks like discovery preparation, demo support, handling objections, and information retrieval.
• Automate recurring enablement activities to improve efficiency and consistency.
• Partner with other departments to prioritize, launch, and encourage the adoption of AI-powered field solutions.
• Identify and implement AI use cases across content, operations, and program delivery for the enablement team.
• Build agents and shared workflows to increase team efficiency and train others on their usage and replication.
• Develop the AI framework to ensure effective, consistent, and scalable solutions.
• Model AI-native work practices and guide others in adopting them.
• Collaborate with GTM, Product, Product Marketing, RevOps, and Field Operations to align enablement with business objectives.
• Represent the needs of the technical field in product roadmap and prioritization discussions.
• Manage programs from initial concept through execution and refinement.
• Participate in GTM operational reviews, including Center of Excellence (COE) reviews, Quarterly Business Reviews (QBRs), and leadership updates.

Requirements

• Minimum of 8 years in a SaaS technical GTM role, such as Solutions Engineering, Solutions Architecture, Technical Sales, or Enablement.
• Demonstrated experience in delivering technical training and enablement programs for field teams.
• Practical experience building AI tools, agents, or automations that have been used in real-world scenarios.
• Strong technical understanding, including the ability to read and debug code.
• Experience with modern AI tools, including Relevance AI, Claude, or LangChain.
• Thorough knowledge of the technical sales lifecycle and field engagement models.
• Familiarity with value-based selling methodologies like MEDDPICC or Force Management.
• Experience with common GTM tools such as Salesforce, Gong, Highspot, or Outreach.
• Proficient program management and execution skills.

Nice to have

• Programming experience in Python or JavaScript.
• SQL proficiency for data analysis and troubleshooting workflows.
• Familiarity with LaunchDarkly or similar developer-focused platforms.
• Background in high-growth developer tools, API-first companies, or AI/ML organizations.

Skills & tools

• AI tooling (Relevance AI, Claude, LangChain)
• GTM tools (Salesforce, Gong, Highspot, Outreach)
• Programming (Python, JavaScript)
• SQL
• MEDDPICC, Force Management

Practical notes

• Salary range for Level 5:
• Zone 1 (San Francisco/Bay Area, NYC Metro, 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
• Compensation may vary based on skills, experience, and location.
• Benefits include Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits.
• LaunchDarkly recruiters will only contact you from @LaunchDarkly.com email addresses or verified LinkedIn accounts. Be cautious of other domains. Legitimate recruiters will not ask for money, fees, or banking information before an offer.