Responsibilities

• Demand Generation Campaigns: Help plan, build, and execute multi-channel campaigns designed to generate awareness and pipeline
• Pipeline Programs: Support outbound and inbound marketing initiatives that work in lockstep with the sales team to move prospects through the funnel
• Campaign Analytics: Track and report on campaign performance, use data to inform what's working and what to iterate on
• Event & Webinar Support: Help coordinate virtual and in-person events to help build and nurture the AllSpice community
• GTM Tool Evaluation & Automation: Research and test emerging AI-powered GTM tools; build automations across our tech stack to reduce manual work and improve team efficiency
• GTM Dashboards & Reporting: Build and maintain dashboards that surface key GTM metrics (such as pipeline health, campaign performance, conversion rates)

Requirements

• Prior work experience in a marketing, sales ops, growth, GTM, or startup environment (internship, part-time, or full-time)
• Strong written and verbal communication skills
• Organized and self-directed - you can manage multiple projects, work with light guidance, and drive things to completion
• Analytical mindset: comfortable working with data, identifying trends, and forming a clear point of view on what to do next
• Hands-on curiosity about AI and SaaS tools, with a track record of testing and forming opinions on new technology
• Energized by variety; comfortable context-switching across different types of work depending on team needs

Preferred

• Experience marketing to technical buyers, developers, or engineering audiences
• Background in or exposure to B2B SaaS, developer tools, or hardware-adjacent industries
• Familiarity with CRM or marketing automation platforms (e.g. HubSpot, Marketo, or similar)
• Basic design skills (Figma, Canva, or similar) for creating simple marketing assets
• Familiarity with workflow automation tools (e.g. Zapier, Make, or similar)
• Experience with outbound sales tools (e.g. Apollo, Clay, Outreach, or similar)
• Basic data skills: SQL, Python, or comfort with spreadsheet-based analysis