Senior Marketing AI Manager, SPARETECH

• 6+ years of experience in B2B marketing, ideally in enterprise SaaS
• Strong marketing fundamentals across positioning, messaging, sales enablement, launches, content workflows, and pipeline generation
• A meaningful background in Product Marketing, Marketing Operations, or a role that combines both strategic marketing judgment and systems thinking
• Hands-on experience using AI in real marketing workflows, not just experimenting with chat tools
• Experience designing repeatable systems, templates, workflows, or internal tooling that improve team productivity and output quality
• Comfort building with low-code and no-code tools, workflow automation, and AI assistants or agents; bonus points for API fluency, SQL, or light scripting
• Strong stakeholder management skills and the ability to work across functions without taking over their execution
• Great communication and training skills, with the ability to make technical concepts understandable and practical for non-technical teammates
• A structured, pragmatic mindset with a bias toward measurable impact
• Comfort operating in a lean, fast-moving startup environment

Desirable

• As a Senior Marketing AI Manager, you will be responsible for building and running the AI operating layer in the Marketing Team
• Your role, as a senior horizontal enabler, will be to make Product Marketing, Brand Marketing, and Integrated Marketing significantly more productive by turning applicable work into governed AI workflows, reusable agents, and shared systems
• Marketing AI operating model: Define how AI is used across the marketing organization, including approved tools, role-based use cases, prompt and evaluation standards, human-review rules, and lightweight governance for accuracy, brand consistency, and responsible data handling
• Workflow and agent development: Design, build, test, and improve reusable AI workflows and agents for high-value marketing jobs such as competitive battle cards, launch-plan builders, sales-enablement copilots, pitch-deck builders, win-loss synthesis, brand-guardrail workflows, content brief generation, email drafting, social monitoring, visualization support, and other recurring tasks
• Environment and systems setup: Create the working environment that makes those workflows usable in practice by connecting the right tools, data sources, templates, and automations across the marketing stack. Partner with RevOps, IT, and Security where integrations, access controls, or vendor review are required
• Adoption and enablement: Train the marketing team through onboarding, workshops, quick-start guides, templates, documentation and coaching. Build repeatable skills, not just one-time excitement
• Intake and prioritization: Run a pragmatic backlog of AI initiatives and requests, prioritizing the highest-frequency, highest-friction, highest-impact use cases across the team
• Measurement and iteration: Track adoption, time saved, cycle-time reduction, usage, output quality, and pipeline-adjacent impact. Continuously improve workflows based on team feedback and business results
• Continued Learning: Stay up to date with emerging AI tools, trends, and best practices, and continuously translate them into practical applications for the team