AI Specialist - Enterprise & Strategic Accounts, AgentControl

About the Job:

LaunchDarkly just launched AgentControl — the operational layer that lets teams configure, evaluate, and control AI agents at runtime, no redeploy required. We're looking for an AI Specialist to join our Enterprise & Strategic sales team as a quota-carrying overlay seller, driving AgentControl revenue across our largest accounts.

This is a sales-led role, not a technical pre-sales seat. You'll own an AgentControl number, build your own pipeline alongside Enterprise and Strategic Account Executives, and run deals start to close.

Responsibilities:

Own a revenue target for AgentControl, with full accountability for pipeline, forecasting, and closed-won bookings

Partner with Enterprise and Strategic AEs as the AgentControl overlay — building account plans and co-selling into existing and net-new relationships

Prospect within the install base and target accounts to create AgentControl opportunities, not just work what's handed to you

Run the full sales cycle: discovery, value narrative, stakeholder alignment, negotiation, and close

Build a business case for economic buyers around AgentControl's core value — safer, faster AI agent operations in production

Partner with Deal Desk on pricing and deal structure for large or complex deals

Work cross-functionally with Sales Engineering and Product Marketing on positioning, and pull in technical support at the right moments

Lead executive conversations and proof-of-value engagements that move strategic deals forward

Feed field intelligence — win/loss themes, objections, pricing feedback — back to Product and Marketing

Qualifications:

5+ years of quota-carrying sales experience — AE, sales specialist, or overlay seller — ideally in enterprise/strategic B2B SaaS

A proven track record of hitting or exceeding revenue targets

Experience running full-cycle enterprise deals: prospecting, discovery, business case, negotiation, close

Comfort operating as an overlay — co-selling with AEs without owning the whole account relationship

Working familiarity with modern software delivery (CI/CD, feature management, or observability) and genuine interest in AI agents in production

Strong commercial instincts and executive presence — equally at home prospecting a new logo or briefing a VP of Engineering

Experience ramping a new product line within an existing territory is a plus

Bachelor's degree or equivalent experience

Pay:

Target pay ranges based on Geographic Zones for Level 4:

Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $269,000 - $370,000

Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $242,000 - $333,000

Zone 3: All other US locations - $229,000 - $314,000

LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. 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. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary.

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

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