The AI Solution Engineering Team Lead is responsible for driving revenue growth and accelerating enterprise adoption of advanced AI platform APIs for a strategic AI client. This role combines sales leadership, disciplined pipeline governance, and consultative, value-based selling across complex enterprise environments. Working with other TLs and Sales Managers to drive a high-performance sales culture. You will lead a team of Solution Engineers across SMB, ensuring structured execution, productivity discipline, and consistent quota attainment. Success in this role requires strong commercial leadership, technical fluency, operational rigor, and the ability to drive performance through clear KPIs and compliance standards. You will act as both a people leader and executive sponsor on strategic opportunities, ensuring consistent delivery across revenue, activity, quality, and forecast accuracy metrics.

Key Responsibilities

Sales Leadership & Performance

• Lead, coach, and performance-manage Solution Engineers across SMB, Enterprise Qualification, and Renewals segments.
• Own team-level quota, pipeline coverage, forecast accuracy, and productivity metrics.
• Establish clear daily, weekly, and monthly performance expectations (e.g., outreach volumes, SLA adherence, pipeline progression).
• Drive structured inspection cadence including pipeline reviews, call coaching, and QA scorecard reviews.
• Ensure strong onboarding and ramp programs aligned to role-specific experience requirements.

Pipeline & Revenue Execution

• Drive disciplined opportunity qualification using structured methodologies (e.g., MEDDICC, BANT).
• Ensure sellers meet defined daily outreach expectations across calls, email, and sequencing tools.
• Enforce SLA responsiveness standards for inbound and customer follow-up.
• Maintain rigorous Salesforce hygiene, forecast accuracy, and clean pipeline management.
• Consistently deliver against revenue targets and team quota attainment.

Strategic Deal Leadership

• Act as executive sponsor on complex enterprise API opportunities.
• Guide commercial structuring, pricing strategy, and negotiation processes.
• Partner with Solutions Engineering to align AI capabilities with measurable business outcomes.
• Ensure compliance with responsible AI, data governance, and client risk requirements.

Compliance, Governance & Quality Standards

• Uphold QA scorecard standards across calls, documentation, and customer interactions.
• Ensure strict adherence to CRM data hygiene and reporting accuracy.
• Monitor compliance with outreach productivity benchmarks and SLA discipline.
• Drive accountability for audit readiness and documentation standards across the team.