Business Value Consultant
Listed on 2026-02-16
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IT/Tech
Business Systems/ Tech Analyst
As a Business Value Consultant (BVC) at Launch Darkly, you will help shape how customers, prospects, and our internal teams understand—and realize—the business impact of the Launch Darkly platform. This role sits at the intersection of strategy, technology, data, and storytelling, enabling customers to connect the power of modern feature management, experimentation, observability, and AI configuration to quantifiable business outcomes.
You will partner deeply with Sales, Solutions Engineering, Product, and Customer Success to create compelling, insight-driven value narratives that illustrate how Launch Darkly improves revenue, reduces costs / saves time and mitigates risk for organizations. You will also play a critical role in infusing value selling into the fabric of our GTM motion, enabling customer-facing teams with tools, frameworks, and stories that elevate Launch Darkly from a feature set to a strategic platform.
Finally, you will leverage customer data—including releases, flag evaluations, experimentation results, and platform usage patterns—to hypothesize, validate, and articulate realized business value. This means not only helping customers forecast impact, but helping them prove it.
Responsibilities:Customer and Market Engagement
- 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 Launch Darkly’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 Launch Darkly
- 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 Launch Darkly 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 Launch Darkly 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 Launch Darkly’s Business Value Consulting methodology, tools, and value realization processes
- Define and refine how Launch Darkly 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
- 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 Dev Ops, 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, Dev Ops 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
- Dem…
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