Marketing Operations & Data Specialist

About the Job: 

LaunchDarkly is looking for a Marketing Operations & Data Specialist to help us optimize our marketing systems, data flows, and reporting infrastructure. This individual will play a critical role in enabling data-driven marketing campaigns by ensuring seamless integration between our data warehouse (Snowflake), marketing automation platform (Marketo), CRM (Salesforce), and business intelligence tool (Looker).

If you thrive on solving data challenges, optimizing martech stacks, and improving reporting, this is a high-impact opportunity to shape how our Growth Marketing team leverages data for smarter decision-making and campaign execution.

Responsibilities:

• Data Enablement for Marketing Campaigns:

  • Help extract and operationalize key data from Snowflake into Marketo, Salesforce, and other tools.

  • Work with our Reverse ETL platform (Hightouch) to improve marketing data activation.

  • Partner with Data, Marketing, and RevOps teams to ensure we have the right data in the right places.

• Marketing Data & Attribution Enablement:

  • Ensure marketing data is accurate, accessible, and well-structured for reporting in Looker, Marketo, and Salesforce.

  • Improve marketing attribution tracking to measure campaign ROI and influence on pipeline and self-serve conversion/adoption.

  • Identify and resolve data gaps or inconsistencies that impact reporting accuracy.

  • Work with RevOps and Analytics teams to ensure marketing has the right data models and metrics for decision-making.

• Marketing Tech Stack Management:

  • Evaluate, procure, and manage marketing technology tools, ensuring we invest in the right platforms.

  • Own the marketing tools budget and optimize spend across vendors.

  • Ensure seamless integration and performance of marketing tools, reducing friction in campaign execution.

• Marketing Operations & Execution:

  • Support Marketo & Salesforce workflows and campaign tracking.

  • Build and execute Marketo campaigns (email nurtures, event workflows, automation programs) as needed to support team coverage.

  • Troubleshoot and improve marketing automation processes to drive efficiency.

  • Proactively analyze processes, identify areas for improvement, and provide strategic recommendations to enhance overall marketing performance.

Qualifications:

• 3–5 years of experience in Marketing Operations, Growth Marketing, or Data Analytics in a B2B SaaS environment.

• SF Bay-Area preferred, but not required

• Strong experience working with marketing data across Snowflake, Marketo, Salesforce, and Looker.

• Familiarity with Reverse ETL tools (e.g., Hightouch, Census) or willingness to learn.

• Experience managing marketing automation workflows and campaign execution in Marketo.

• Comfortable with SQL queries and pulling insights from data warehouses (a plus).

• Strong analytical skills and experience building marketing performance dashboards.

• Experience managing martech tools, vendor evaluations, and marketing budgets.

• Highly collaborative—able to work across teams including Growth, RevOps, and Data teams.

• Problem-solving mindset with a passion for making marketing more data-driven.

Pay: 

Target pay ranges based on Geographic Zones* for Level 3:

• Zone 1: San Francisco/Bay Area or NYC Metropolitan Area: $106,000 - $145,000**
• Zone 2: Boston, DC, Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Seattle: $95,000 - $131,000**
• Zone 3: All other US locations: $90,000 - $124,000**

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