Staff Enterprise Developer Advocate

LaunchDarkly is piloting an education-first technical advocacy program inside our largest accounts. Most enterprise customers know us for one use case; inside those same companies are teams shipping AI features, running experiments, and managing risky releases who have never met us. You’ll design and deliver sessions that teach engineers something genuinely useful, build internal champions alongside our account teams, and surface expansion opportunities the field can act on. This is a ground-up motion—how it scales will be shaped by what you prove.

Responsibilities

• Build the motion: design the Enterprise Developer Advocacy program from pilot to repeatable practice, including session formats, account selection criteria, readouts, and measurement
• Run sessions inside target accounts: deliver education-first technical sessions (agents and AgentControl, safe rollouts, experimentation, runtime control) tailored to each account’s stack and use cases
• Build champions with the field: partner with AEs, SEs, and CS to identify accounts, find and develop internal champions, and hand off what surfaces cleanly to the teams who should own it
• Keep it credible: protect the non-promotional, education-first nature of the sessions; this motion works because it isn’t a sales pitch
• Prove it with evidence: instrument the pilot, produce session readouts, debrief with reps, and make the scale, adjust, or stop recommendation based on what the data shows
• Shape what comes next: as the motion proves out, define how it scales, including the playbook future advocates would run

Requirements

• A background spanning at least two of: developer advocacy, solutions engineering, developer education, technical marketing
• Comfortable in enterprise rooms: you can teach a technical session to fifty engineers and handle hardball questions from a skeptical principal architect
• Hands-on technical credibility: you build, demo, and teach, and senior engineers take you seriously
• Strong operational instincts: you can run a repeatable program, prioritize incoming demand, and keep commitments to the field
• Typically requires a minimum of 12 years of related experience
• Ability to travel approximately 25% of the time

Skills

• (Bonus) Experience with feature management, experimentation, observability, or agent orchestration tooling
• (Bonus) You’ve built a customer-facing technical program (workshops, DevDays, office hours) from scratch
• (Bonus) Deep enterprise software background: you understand how large engineering organizations make platform decisions

Pay

Target pay ranges based on Geographic Zones for Level 5:

• Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle – $171,200 – $235,400
• Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago – $154,100 – $211,860
• Zone 3: All other US locations – $145,500 – $200,090

Exact compensation may vary based on skills, experience, and location. Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas.

Benefits

• Restricted Stock Units (RSUs)
• Health, vision, and dental insurance
• Mental health benefits

About LaunchDarkly

Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare “big-bang” technology migrations.

The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by:

• Improving the velocity and stability of software releases, without the fear of end customer outages
• Delivering targeted experiences by easily personalizing features to customer cohorts
• Maximizing the business impact of every feature through the ability to experiment and optimize
• Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types
• Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability