Lead executive-level engagements (virtual or on-site) to assess software release, experimentation, and AI-driven processes and identify high-impact opportunities for value creation
Drive gap analyses that map across LaunchDarkly’s platform to measurable business outcomes that can be quantified
Deliver compelling, data-backed value narratives that tie platform capabilities to P&L drivers such as cost efficiency, uptime, delivery velocity, conversion uplift, and AI productivity
Present strategic recommendations to C-suite and senior stakeholders with clarity, authority, and insight
Own the creation of advanced ROI models, financial frameworks, and benchmarks that quantify the impact of adopting LaunchDarkly
Use platform data (flag evaluations, release frequency, experimentation insights, kill switch events) to form value hypotheses and validate realized outcomes with customers
Partner with Customer Success to ensure customers measure, understand, and articulate the business value driven by LaunchDarkly post-adoption
Lead value-selling enablement for Sales, SE, Marketing, and CS - building scalable playbooks, narratives, discovery frameworks, and customer-facing materials
Coach GTM teams to lead with business outcomes and align LaunchDarkly to strategic industry themes such as AI adoption, product velocity, digital modernization and operational resilience
Influence Product and Product Marketing to ensure the value narrative evolves with new capabilities across the platform
Shape and elevate LaunchDarkly’s Business Value Consulting methodology, tools, and value realization processes
Define and refine how LaunchDarkly positions its platform to CIO, CTO, CPO, and CFO audiences across industries
Provide thought leadership on the role of AI in modern software delivery and how organizations can integrate AI into engineering workflows, experimentation strategies, and decision-making.

Requirements

Typically requires a minimum of 8 years of related experience
Deep understanding of the Software Development Lifecycle (SDLC) and modern engineering practices; strong familiarity with DevOps, experimentation or AI-driven development
Experience presenting to executive audiences (VP+), with the ability to translate technical concepts into business value and financial outcomes
Expertise in building ROI or business case models, including identifying KPIs and quantifying economic impact
Proven experience facilitating discovery sessions with diverse stakeholders including engineering leads, product owners, SREs, DevOps and business executives
Ability to craft compelling value stories grounded in customer outcomes, industry trends, and P&L impact
Strong communication skills with the ability to tailor messaging to highly technical and non-technical audiences.
Preferred: Demonstrated ability to conduct operational assessments of engineering or product delivery processes
Experience selling or consulting on platform solutions (not just tools), particularly those involving data, observability, experimentation, feature management, or AI capabilities
Familiarity with building or enabling value selling programs within a GTM organization
A background in management consulting, strategy, financial analysis, or value engineering.

Benefits

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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

Software Development Lifecycle (SDLC)DevOpsAI-driven developmentROI modelsbusiness case modelsKPI identificationeconomic impact quantificationvalue realization processesexperimentation strategiesdata analysis

Soft skills

strong communication skillsability to translate technical conceptscrafting value storiesfacilitating discovery sessionscoaching teamsthought leadershiptailoring messaginginfluencing stakeholdersbuilding scalable playbookspresenting to executive audiences