LeanData is an enterprise software provider specializing in unifying CRM data, signals, and tools to automate customer lifecycle motions from initial buying signals through post-sales. Their solutions enhance efficiency, revenue capture, and customer experiences by focusing on areas like buying groups, ABX, and speed to lead. LeanData serves over 1,000 enterprises and commercial leaders as the execution engine for their GTM strategies.
Open Positions
Enterprise Account Executive – EMEA (First Enterprise Hire)
5+ years of quota-carrying sales experience, strong understanding of enterprise sales processes, and excellent communication and executive presence
Senior FP&A Analyst
5+ years of FP&A experience, end-to-end financial planning ownership, SaaS metrics knowledge, and advanced Excel modeling skills
Director, ISV GTM & Strategic Alliances
10+ years of SaaS experience, 8+ years in ISV partnerships, and expertise in Salesforce and nearbound technologies
Principal Deal Desk Strategist
8-10+ years of experience, proven ability to influence complex deals, hands-on experience with CPQ and CRM systems, deep understanding of SaaS revenue recognition principles, and exceptional analytical skills
Senior Site Reliability Engineer
5+ years of SRE experience, proven track record managing AWS environments, deep experience with Terraform, and a Bachelor’s degree in Computer Science
Sales Evergreen Req
SaaS and/or B2B sales experience, strong communication and relationship-building skills, and comfort working in a fast-paced environment
Mid Market Customer Success Manager
2-4 years of experience in a Customer Success, Account Management, or Revenue Operations role, preferably in a B2B SaaS environment
Commerical Account Executive
3-5 yrs SaaS sales experience. Proven quota-carrying sales. Bachelor's degree preferred
Enterprise Customer Success Manager
4-6 years of work experience, deep expertise in revenue process, and proven experience managing enterprise-level SaaS clients
GTM Engineer (Data & AI)
5+ years in GTM Systems, RevOps, or Data Engineering; hands-on experience with modern orchestration platforms; and a structured approach to problem-solving
+15 More Jobs Available!
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