Interplay Learning

AI Engineer

• Lead the data engineering team (3 engineers, 2 analysts); conduct performance reviews, provide mentorship, and set career development plans to drive growth
• Work cross-functionally with CS, Sales, Marketing, and Finance to identify needs and construct technical roadmaps for data initiatives
• Establish and enforce enterprise-wide governance frameworks that ensure data privacy, AI safety, and regulatory compliance while standardizing best practices across the data ecosystem
• Oversee the design and deployment of a unified and scalable data architecture and pipelines that support analytics, BI, and machine learning initiatives
• Evaluate business friction points to determine if a BI dashboard, AI agent, or automated workflow is the most effective solution
• Define and track ROI via dashboards for "Hours Saved," "Cost Avoidance," and "Revenue Impact" from AI and data deployments

Director of Data, AI Engineering

Business Development Rep

• Targeted prospecting using multi-channel outreach including cold calls, emails, etc.
• Conduct thoughtful discovery to uncover pain points and qualify fit.
• Set meetings and generate opportunities for Account Executives.
• Refine outreach using insights from customer conversations and cross-functional collaboration.
• Update and maintain accurate pipeline data in Salesforce.
• Contribute ideas to optimize messaging, targeting, and process strategy.

SDR/BDR

Sales Development Rep

• Train, coach, and develop SDR Managers
• Directly manage the inbound SDR and a pod of 2–3 senior SDRs
• Lead the recruitment, interviewing, and hiring of high-performing SDRs
• Lead recurring team training sessions and call reviews
• Standardize and enforce sales protocols regarding account ownership and lead timing
• Partner with Marketing and RevOps to design targeted sales campaigns

Senior Sales Development Manager

Systems Engineer

• Own the AI Opportunity Map
• Lead the discovery process to audit current workflows
• Define and track ROI via dashboards for "Hours Saved," "Cost Avoidance," and "Revenue Impact"
• Develop and own the architecture and tooling for the internal AI ecosystem
• Establish governance frameworks for data privacy and deliver educational sessions to upskill the workforce

Applied AI Business Systems Engineer

Content Manager

• Collaborate with product marketing, sales, and customer success to create, enhance, and distribute content that addresses audience pain points, industry challenges, and solutions
• Adapt existing content (e.g., blog posts, white papers, webinars) into demand-focused assets, including email sequences, social media posts, and landing pages
• Collaborate with cross-functional teams to ensure content aligns with marketing campaigns and product launches
• Provide editorial direction and training on best practices to ensure content consistency and optimization across platforms
• Perform keyword research and develop SEO-friendly content strategies to increase organic reach and visibility
• Develop and refine a social media strategy tailored to engage B2B audiences
• Oversee the distribution of content across social media platforms
• Use data to adjust content strategy and improve performance, measuring success in terms of lead generation, reach, and engagement metrics

Director of Data, AI Engineering

SDR/BDR

Senior Sales Development Manager

Applied AI Business Systems Engineer

Marketing Content Strategist – B2B