Job Description
Technical Account Manager – Enterprise Data, AI & Cloud Location: On-site in our Downtown Tampa Office Role Overview The Technical Account Manager (TAM) is responsible for owning and expanding enterprise and mid-market client relationships across the Data, AI, and Cloud technology ecosystem. This role sits at the intersection of enterprise account management, technical advisory, and delivery leadership. The TAM acts as a trusted partner to client stakeholders, translating complex technical hiring needs into effective talent solutions while driving sustained account growth and revenue performance. Success in this role requires a senior staffing professional who can combine technical market credibility, enterprise relationship management, and strong commercial performance to grow strategic accounts and deliver high-value technical talent. This role owns client relationships, revenue performance, and account growth for assigned accounts and newly developed business. Revenue & Performance Expectations Annual Gross Profit Target: $1.2M – $1.8M GP Expected Account Portfolio: $3M – $5M in managed or developed client accounts Account Development Requirement: Demonstrated ability to build and scale accounts from $0 to $2M+ annual revenue Deal Mix: Contract staffing, contract-to-hire, and permanent placements across technical roles Delivery Model: Partner with internal recruiting teams to execute high-volume and specialized technical hiring Full ownership of account strategy, client engagement, and revenue outcomes within assigned portfolio Key Responsibilities Enterprise Account Ownership Own and manage relationships with enterprise and mid-market clients hiring within Data, AI, and Cloud technology environments Develop long-term partnerships with hiring managers, directors, and executive stakeholders Serve as the primary client contact for technical hiring strategy and delivery execution Account Growth & Revenue Development Identify and pursue expansion opportunities within existing client organizations Build strategic hiring partnerships that generate recurring revenue streams Successfully scale new client relationships from initial engagement to $2M+ annual revenue accounts Maintain strong pipeline visibility and forecast revenue performance against annual GP targets Technical Market Advisory Provide consultative guidance on technical hiring strategies across the modern data stack Advise clients on compensation trends, market availability, and hiring timelines for specialized technical talent Maintain fluency across Data Engineering, AI/ML, Cloud Architecture, and modern data platform roles Delivery Leadership Partner with internal recruiting teams to ensure consistent delivery quality across assigned accounts Lead role intake discussions and technical requirement calibration with client stakeholders Ensure candidate pipelines align with client expectations for technical capability and experience Market Expertise Maintain strong understanding of the modern data and cloud technology landscape including platforms such as AWS, Azure, Databricks, and Snowflake Stay current on emerging skill sets across Data Engineering, Machine Learning, Analytics Engineering, and Cloud Infrastructure Required Qualifications 10+ years of experience in technical staffing, talent solutions, or enterprise recruiting environments Proven success managing enterprise client relationships within technical hiring environments Demonstrated experience supporting roles across Data, AI, Cloud, or modern data platform ecosystems Proven experience filling Engineering, Architecture, and Senior IT Leadership roles within enterprise technology environments Track record of building and scaling client accounts from $0 to at least $2M in annual revenue Strong commercial mindset with experience meeting or exceeding individual GP or revenue targets Ability to operate as a trusted advisor to senior client stakeholders Preferred Experience Experience working with enterprise consulting firms, system integrators, or technology partners within the data ecosystem Familiarity with hiring across modern data platform roles including: Data Engineers Machine Learning Engineers Cloud Architects Analytics Engineers Data Platform Engineers Technical Directors and Senior IT Leadership roles