Limble Logo

Limble

GTM Analytics Engineer

Reposted 5 Days Ago
Remote
Hiring Remotely in USA
145K-170K Annually
Mid level
Remote
Hiring Remotely in USA
145K-170K Annually
Mid level
The GTM Analytics Engineer will enhance data usage across the revenue organization by refining models, designing workflows, automating processes, and partnering with teams to improve GTM strategies.
The summary above was generated by AI

About Limble

At Limble we empower the unsung heroes who support the world. We’re revolutionizing the way businesses manage their maintenance operations by providing a comprehensive suite of software solutions that empower organizations to optimize asset performance and drive operational excellence. From preventive maintenance to inventory management and beyond, our robust CMMS platform offers a suite of features designed to streamline operations and enhance productivity.

About the Role

We're looking for a GTM Analytics Engineer who raises the bar on how we use data across the entire revenue org. Reporting to our Director, Data, you'll be architecting the systems and analysis that drive how we sell, retain, and grow.

How you’ll make an impact:

  • Build and refine ICP models leveraging firmographic, technographic, and behavioral data to sharpen targeting and pipeline quality.

  • Design and implement GTM workflows that enrich prospect data at scale.

  • Identify and eliminate repetitive, manual processes across the RevOps org through automation, including building custom pipelines when off-the-shelf integrations won't cut it.

  • Architect integrations across the full GTM stack to maximize data fidelity, reduce friction, and ensure every system talks to every other system reliably.

  • Partner with Sales, Marketing and Product Marketing to drive GTM strategy and execution.

Requirements:

  • 3 - 5+ years of experience

  • You move fast and ship disciplined analysis, iterating constantly with the understanding that there's always a better version around the corner

  • Deep fluency in RevOps workflows and the full GTM motion, from prospecting through renewal

  • Owner mindset: You don't wait to be asked and you treat the business's problems as your own

  • Prior Experience in building systems that drive pipeline

  • Deep hands on and working knowledge of SQL and Python

  • Experience with Clay, Salesforce, n8n and Snowflake

  • Demonstrates fluency with AI tools and workflows, applying them pragmatically to accelerate work while exercising sound judgment about when and how to use them


Benefits:

  • $145,000 - $170,000 annually

  • Fully remote position

  • Flexible PTO

  • 13 paid company holidays

  • Paid parental leave

  • Health, Dental, and Vision insurance

  • Employer paid Basic Life insurance and Short-Term Disability insurance

  • Company contribution match for HSA and 401(k)

  • Flexible Spending Accounts

  • Monthly employee wellness stipend

  • Opportunities for Learning and Development Reimbursement

  • Pet insurance

Limble is an equal opportunity employer. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, ancestry, age, disability, genetics, marital status, veteran status, or any other protected characteristic under applicable laws. We are committed to building a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities. All qualified applicants with arrest or conviction records will be considered in accordance with applicable laws.

Similar Jobs

7 Days Ago
Remote
United States
156K-229K Annually
Senior level
156K-229K Annually
Senior level
Productivity • Software • Conversational AI
Design and maintain a dbt-based business data layer for GTM metrics, centralize and reconcile multi-source data, implement automated data quality and reconciliation checks, align and document metrics with stakeholders, mentor analytics team, and lead root-cause investigations into complex data anomalies.
Top Skills: Ci/CdData ObservabilityDbtSQL
8 Days Ago
Remote
United States
150K-205K Annually
Senior level
150K-205K Annually
Senior level
Artificial Intelligence • Fintech • Machine Learning • Software • Financial Services
Design, build, and own Sardine's internal data platform and billing infrastructure. Implement and maintain ETL/ELT pipelines, warehouse partitioning, access controls, and data governance. Partner with stakeholders to define KPIs, produce dashboards, and ensure data quality for executive, GTM, product, and finance teams.
Top Skills: AirflowAmplitudeAWSBigQueryCi/CdClayDbtDockerFivetranGCPHubspotKubernetesLookerMixpanelPythonSalesforceSegmentSigmaSnowflakeSQLTableau
9 Minutes Ago
Remote or Hybrid
204K-255K Annually
Senior level
204K-255K Annually
Senior level
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
The Principal Product Manager for Pricing & Monetization will lead strategic initiatives, define pricing models, and analyze market trends to enhance revenue growth.
Top Skills: B2B Enterprise Saas

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account