Founding Growth Specialist
New
E
ElicitB2B SaaS, AI
Oakland, CA (or remote within US timezones); Flexible work environment across North America and Europe, US timezonesFull-TimeSenior
Salary$133K to $240K + equity
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Job Details
- Experience
- 5–7 years
- Required Skills
- Project ManagementData AnalysisCRMSaaS
Requirements
- 5–7 years of B2B marketing experience with a strong focus on demand generation, ideally at a software/SaaS or technology company
- Strong quantitative background with demonstrated ability to analyze campaign data, build reports, and extract actionable insights from marketing metrics
- Proven experience explaining strategic decisions through data storytelling
- Comfort working with marketing analytics tools, CRM systems, and spreadsheet analysis
- Demonstrated ability to build programs and processes from scratch in a startup or high-growth environment
- Experience working closely with enterprise sales teams
- Strong project management and organizational skills
- Entrepreneurial mindset with comfort in ambiguity
- Excellent communication skills
- Bachelor's degree required
Responsibilities
- Build Elicit's enterprise marketing function from the ground up, establishing data-driven strategies, processes, and measurement frameworks
- Develop and execute multi-channel demand generation programs targeting enterprise accounts, including paid campaigns, email nurture sequences, content syndication, and ABM initiatives
- Partner with sales teams to understand segment priorities, account needs, and revenue targets, translating them into actionable marketing plans supported by quantitative analysis
- Design, launch, and optimize integrated campaigns across digital and field channels including webinars, executive events, industry conferences, and targeted account activities
- Establish comprehensive reporting and analytics to track program performance across the funnel—from awareness through pipeline to revenue—and demonstrate clear ROI
- Conduct regular performance analysis to identify trends, optimize conversion rates, and allocate budget to highest-performing channels and tactics
- Build and refine lead scoring models, attribution frameworks, and campaign measurement processes
- Create data-backed recommendations for marketing investment decisions and present findings to leadership with clear supporting metrics
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