Growth

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
• Create 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
• Design and execute follow-up campaigns, nurture programs, and sales enablement activities informed by conversion data and sales feedback
• Build relationships across the organization to ensure alignment and drive cross-functional collaboration
• Identify and capitalize on new opportunities to drive qualified pipeline from life sciences companies and academic research institutions

Requirements

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—you can clearly articulate the "why" behind your recommendations with supporting metrics and analysis

Comfort working with marketing analytics tools, CRM systems, and spreadsheet analysis to track performance and optimize programs

Demonstrated ability to build programs and processes from scratch in a startup or high-growth environment

Experience working closely with enterprise sales teams, understanding sales cycles and how marketing programs impact pipeline velocity

Strong project management and organizational skills with ability to manage multiple campaigns simultaneously

Data-driven approach to budget allocation, channel mix optimization, and program prioritization

Entrepreneurial mindset with comfort in ambiguity and ability to operate with minimal oversight

Excellent communication skills with ability to present findings and recommendations to stakeholders at all levels

Bachelor's degree required, preferably in marketing, business, economics, or a quantitative field

Strong candidates may also have:

• Experience in life sciences, healthcare, pharmaceutical, or biotech industries
• Background in AI/ML or technical product companies
• Familiarity with account-based marketing (ABM) strategies, tools, and measurement
• Experience building attribution models or multi-touch attribution analysis
• Track record of A/B testing and conversion rate optimization
• Experience with executive programs or events targeting VP+ and C-level personas
• Track record of building or scaling marketing functions at early-stage companies
• Understanding of research-focused or science-focused audiences
• SQL or other data analysis skills

Qualifications

Experience in life sciences, healthcare, pharmaceutical, or biotech industries

Background in AI/ML or technical product companies

Familiarity with account-based marketing (ABM) strategies, tools, and measurement

Experience building attribution models or multi-touch attribution analysis

Track record of A/B testing and conversion rate optimization

Experience with executive programs or events targeting VP+ and C-level personas

Track record of building or scaling marketing functions at early-stage companies

Understanding of research-focused or science-focused audiences

SQL or other data analysis skills