Senior Growth Marketing Analyst

Title: Senior Growth Marketing Analyst Location: Remote - US

About the Job:

At LaunchDarkly, our Product-Led Growth (PLG) motion is evolving rapidly. We are looking for an experienced, highly analytical, and strategic Senior Growth Marketing Analyst to help us decode the digital body language of our prospects and users.

In this role, you will leverage wide-ranging experience across GTM disciplines to help build, optimize, and scale our PLG engines. Reporting to the Principal Growth Marketer or Director of Growth Marketing, you will resolve complex data and operational issues requiring an in-depth evaluation of variable factors mapping user and account signals across channels, establishing the "next best action" for high-value leads, and optimizing conversion pathways. You will act with a high degree of independence to determine methods and procedures on new assignments, collaborating across Marketing, Product, RevOps, and Data engineering teams to drive function-impacting results.

Responsibilities:

• Data & Signal Strategy
  • Audit, track, and categorize 1st-party, 3rd-party (e.g., 6sense, GitHub), and product/marketing signals across target contacts and enterprise accounts.
  • Evaluate variable factors and intangible data nuances to distinguish technical practitioner actions (e.g., SDK deployment) from broader enterprise intent (e.g., security evaluations).
  • Partner cross-functionally with Data Engineering and RevOps to clean, enrich, and continuously source high-intent signal data.
  • Feed signal combinations, recency, and frequency into predictive models to refine lead routing and account prioritization.
• Activation Strategy
  • Use signal combinations to define the right "next best action" for accounts and individual users based on their segment, ICP fit, and stage (e.g., prospect vs. existing customer).
  • Map and trigger appropriate activation responses ranging from personalized marketing content to white-glove outreach from Product Advocates or automated handoffs to SDRs and Enterprise AEs.
• Operational Motion & Cross-Functional Integration
  • Act as the primary business lead to cross-functionally implement, refine, and maintain activation workflows across Marketing, Product, Sales Ops, and Data teams.
  • Apply an understanding of the interrelationships between different disciplines to navigate complex cross-team dependencies and drive strategic alignment.
  • Help define and iterate on sales-facing tools (such as a "single pane of glass" interface) that surface product affinity, app usage, intent signals, and account fit to enable sales execution.
  • Maintain structured feedback loops with Product Advocates, SDRs, and sales reps to assess lead quality and continuously refine signal logic.
• Conversion Rate Optimization (CRO) & Experimentation
  • Analyze and optimize conversion rates across the end-to-end flow—from initial signal capture to activation, handoff, and pipeline generation.
  • Independently design and run growth experiments (in-product onboarding adjustments, messaging, routing logic) to maximize engagement and move accounts through the buyer journey.
• System Administration & Technical Tooling
  • Manage technical configuration, tracking setups, and ongoing maintenance for core data and analytics platforms (e.g., GA360/GA4, customer data platforms, product analytics).
  • Maintain rigorous data flow standards and proper tag/tracking setups across web properties, marketing tools, and product analytics environments.

Qualifications:

• Experience: Minimum of 8–10 years of related experience in growth marketing, marketing analytics, revenue operations, or PLG strategy within a high-growth B2B SaaS environment.
• Education: Bachelor’s degree in Business, Marketing, Data Analytics, Computer Science, or a related field (or equivalent practical experience).
• Cross-Disciplinary Expertise: Deep understanding of B2B SaaS growth tactics, PLG motions, marketing technology stacks, and revenue analytics, with a proven ability to bridge Marketing, Sales Ops, Data, and Product management.
• Independent Problem Solving: Proven track record of independently determining methods and procedures on complex, ambiguous assignments requiring evaluation of variable factors.
• Technical: Hands-on proficiency with web analytics (GA360/GA4), product analytics (e.g., Amplitude, Mixpanel), CDPs, SQL, and CRM/automation platforms.

Pay:

Target pay ranges based on Geographic Zones* for Level 4:

• Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $136,500 - $187,660**
• Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $122,800 - $168,850**
• Zone 3: All other US locations - $116,000 - $159,500**

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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