• Help test and improve an exciting new tool developed by a top global tech company • Work remotely with flexible hours • Collaborate to contribute to the future of technology

• Lead organic growth across content, SEO / AEO, social media, and video using AI as the primary execution layer • Report directly to the VP of Marketing and manage execution independently • Own the quality of everything published under the Knack name • Manage SEO, AEO & content production (blog, landing pages, FAQ) • Handle organic social management (LinkedIn & others) • Engage in AI video scripting, production, and publishing • Create visual assets (graphics, promotional imagery) • Publish via WordPress and setup landing pages • Support email campaigns in HubSpot • Perform reporting and optimization

Role Description As the AI GTM Specialist, Data & Analytics, you will be the primary catalyst for driving Insight’s Google Solution Line Data and Generative AI business through our partnership with Google Cloud. You aren't just selling a platform; you are architecting the future of enterprise intelligence. Your mission is to turn abstract AI potential into concrete, revenue-generating reality. Key Responsibilities - Sales Enablement & Execution: Partner with Insight sales teams to identify and qualify high-value Data/AI opportunities within their existing customer base. - Solution Architecting: Lead discovery workshops to design end-to-end data strategies, focusing on platforms like BigQuery for data warehousing and Vertex AI for model orchestration, and their integration into Gemini Enterprise. - GenAI Evangelism: Act as the subject matter expert on Gemini and Large Language Models (LLMs), helping customers move from "AI-curious" to "AI-first" through tailored Proofs of Concept (PoCs). - GTM Strategy: Develop and execute a joint go-to-market plan with Insight field sales, including webinars, executive briefings, and industry-specific solution plays. - Technical Bridge: Serve as the liaison between Insight’s technical delivery teams and Google Cloud’s internal product engineering teams to ensure customer requirements are met. Qualifications - 10+ years of professional experience in technical sales, solution architecture, or digital transformation consulting. - At least 5 years specifically focused on Data Engineering, Analytics, or Machine Learning. - Proven track record with Google Cloud Platform (GCP) is highly preferred. Experience with AWS or Azure is a plus, provided there is a willingness to master the Google stack immediately. - Exceptional presentation skills. - B.S. in Computer Science, Data Science, MBA, or equivalent practical experience in the field. Requirements - Deep understanding of LLMs, Prompt Engineering, RAG (Retrieval-Augmented Generation), and fine-tuning models within Vertex AI. - Expertise in modernizing legacy data stacks into BigQuery, including Looker integration and data governance. - Ability to navigate "Value-Based Selling" rather than just feature-dumping; focusing on ROI and business outcomes. - Understanding the nuances of working with a Global Systems Integrator (GSI) like Insight to drive "co-sell" motions. Benefits - Opportunity to represent Google Cloud’s most advanced technology. - Access to the resources of a tech giant while maintaining the agility of a specialized sales team. What Success Looks Like in Year 1 - Scaling the Insight-led Data & AI pipeline by 30% through proactive engagement. - Closing at least 3 "lighthouse" GenAI projects using Gemini that serve as case studies for the partnership. - Becoming a Google Cloud Certified Professional Data Engineer or Machine Learning Engineer (if not already held).

• Drive AI-Powered Product Innovation • Define product vision and roadmaps for client solutions leveraging GenAI, LLMs (GPT-4, Claude, Llama, Gemini), RAG architectures, and Agentic AI frameworks • Lead end-to-end product lifecycle from ideation through launch for AI/ML products, ensuring alignment with client business objectives and KPIs • Develop compelling business cases by analyzing market opportunities, competitive positioning, and ROI projections for AI implementations • Lead Complex Data & Migration Initiatives • Oversee product strategy for large-scale data migration projects across cloud platforms (AWS, Azure, GCP) • Guide data product development including ingestion pipelines, transformation layers, governance frameworks, and consumption APIs • Ensure data quality, security, compliance, and observability across all deliverables • Champion Agile Delivery Excellence • Facilitate Agile ceremonies and maintain well-groomed backlogs with properly sized, technically detailed features and epics • Define sprint goals aligned with quarterly objectives and long-term product vision • Balance technical debt management with feature delivery, advocating for architectural improvements • Enable Cross-Functional Collaboration • Partner with client stakeholders, engineering teams, data architects, ML engineers, and UX designers to deliver integrated solutions • Translate technical capabilities into business value narratives tailored for different audiences, from developers to executive leadership • Conduct design thinking workshops, user research sessions, and gap analyses to uncover insights and validate product direction.