MSPbots.ai

Performance Marketing

• Own paid advertising strategy and execution across Google, LinkedIn, Reddit, and other platforms — including campaign setup, audience targeting, creative testing, bid management, and budget optimization
• Continuously test and iterate on ad creative, copy, landing pages, and audience segments to improve conversion rates and lower CAC
• Manage and continuously improve website performance, including landing pages, conversion rate optimization, and SEO best practices
• Work within and help evaluate the company's Martech stack — HubSpot, Marketo, Salesforce, Google Analytics, and more
• Track and report on campaign performance, surface insights, and make data-driven recommendations to the team
• Collaborate with the team on end-to-end webinar production — from promotion and registration flows to post-event follow-up and reporting
• Go-to-market planning and execution for new product launches — including messaging, collateral, and campaign coordination
• PLG funnels — onboarding email sequences, in-product messaging, and activation campaigns to improve trial conversion and user engagement
• Sales enablement materials that support a quota-carrying team

Senior Performance Marketing Manager

Product Manager

• Internal First, External Next: Lead the development of internal AI tools and workflows, with a clear roadmap to evolve them into customer-facing products.
• Monetization Readiness: While initial focus is internal efficiency, design systems with future monetization in mind (usage-based pricing, credits, outcome-based billing).
• Competitive Intelligence: Maintain a "Battlecard" mindset—track both internal performance and external market trends to ensure our solutions are 10x better, not 10% faster.
• Prepare internal products for external launch by defining ICP, use cases, and ROI narratives early.
• Balance Accuracy, Latency, and Unit Cost across internal AI systems, with scalability for external deployment in mind.
• Build beyond copilots—develop autonomous agents that execute workflows (e.g., ticket resolution, QA automation).
• Establish internal data pipelines and feedback loops (RLHF) that will later serve as a competitive advantage for external products.
• Launch "Flash Builds" for internal users—prototypes in days, not months.
• Use internal teams as your first users to validate product-market fit before external rollout.
• Define and measure what “good” looks like—ensure reliability before scaling externally.