Build and lead demand generation and field marketing for enterprise life sciences and research accounts, executing multi-channel campaigns, A/B testing, and analytics-driven optimizations to drive pipeline and revenue. Requires 5-7 years B2B marketing experience, strong quantitative skills, and startup builder mindset.
133k – 200k/yr
Remote5+ YOEGrowth Marketing
About the role
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.
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
5–7 years of B2B marketing experience with a strong focus on demand generation, ideally at a software/SaaS or technology company, with a track record of driving measurable pipeline and revenue impact.
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.
Nice-to-Haves
Experience in life sciences, healthcare, pharmaceutical, or biotech industries.
Background in AI/ML or technical product companies.
Advanced skills in marketing analytics platforms (e.g., Google Analytics, Tableau, Looker) and marketing automation tools.
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.
Compensation
Starting range: $133K to $200K + equity.
Fully covered health, dental, vision, and life insurance + generous family coverage.
Flexible vacation (recommended minimum of 20 days).
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