Company

Technology

DirectorofAIProfessionalServices

$220–350k ~AI est. United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Director candidates.

The Brief

“Director of AI Professional Services. Skills: AI Professional Services, LLM Solutions, Team Leadership, Commercial Management. Lead AI solution delivery. Prototype AI solutions”

What You'll Achieve.

Achieve revenue targets; Achieve margin performance

Industry & Context.

Technology
Problems you'll solve

Troubleshooting production issues; Cost optimization; Scalability; Security; Reliability; Maintainability

What They're Looking For.

Must Have

7+ years experience in professional services, consulting, or solutions delivery, Proven commercial ownership experience, Manage revenue targets, SOWs, and P&L responsibility, Hands-on experience with AI-assisted development tools, Ability to rapidly prototype and ship working solutions, Deep understanding of LLM application patterns, Ability to operate effectively in technical environments, Ability to operate effectively in executive-level client discussions, Demonstrated experience building and scaling teams, Judgment around production readiness

Nice to Have

Exposure to enterprise software, Exposure to cloud platforms, Exposure to regulated industries, Familiarity with MLOps, Familiarity with vector databases, Familiarity with AI safety considerations

What You'll Do.

Lead AI solution delivery

Prototype AI solutions

Demo AI solutions to clients

Deploy LLM-based systems

Deploy agentic systems

Design scalable AI service offerings

Deliver discovery workshops

Deliver proof-of-concept engagements

Deliver managed AI solutions

Oversee solution transition to production

Ensure reliability in production

Ensure monitoring in production

Ensure cost optimization in production

Align solutions with product strategy

Establish responsible AI delivery standards

Manage AI system lifecycle

Own professional services P&L

Achieve revenue targets

Achieve margin performance

Partner with sales teams

Scope AI services opportunities

Price AI services opportunities

Close AI services opportunities

Identify expansion within accounts

Build AI services team

Hire AI services team

Scale AI services team

Define delivery frameworks

Define best practices

Define operational playbooks

Collaborate with product teams

Collaborate with engineering teams

Feed client insights into roadmap

Feed client insights into platform evolution

How You'll Work.

Team & Collaboration

Cross-functionally with product; Cross-functionally with engineering; With sales teams; With hiring managers

Communication Scope

Client demos; Executive discussions

Process & Methodology

P&L management, Forecasting, Roadmap development

Full Job Description

## Accountabilities Lead AI solution delivery from discovery to production, including rapid prototyping, client demos, and deployment of LLM-based and agentic systems tailored to business needs. Design and deliver scalable AI service offerings such as discovery workshops, proof-of-concept engagements, and managed AI solutions. Oversee transition of solutions into production environments, ensuring reliability, monitoring, cost optimization, and alignment with long-term product strategy. Establish responsible AI delivery standards, including data governance, model selection, security, privacy, and lifecycle management of AI systems. Own the professional services P&L, including revenue targets, margin performance, forecasting, and overall financial accountability. Partner with sales teams to scope, price, and close new AI services opportunities while identifying expansion within existing accounts. Build, hire, and scale a multidisciplinary AI services team, while defining delivery frameworks, best practices, and operational playbooks. Collaborate cross-functionally with product and engineering teams to feed client insights into roadmap development and platform evolution. Requirements: 7+ years of experience in professional services, consulting, solutions delivery, or similar roles within AI, SaaS, or data-driven environments. Proven commercial ownership experience, including managing revenue targets, SOWs, and professional services P&L responsibility. Strong hands-on experience with AI-assisted development tools (e.g., Cursor, Copilot, Claude, v0, Replit) and ability to rapidly prototype and ship working solutions. Deep understanding of LLM application patterns, including RAG, agents, prompt engineering, tool use, and optionally fine-tuning. Ability to operate effectively in both technical environments (engineering collaboration) and executive-level client discussions. Demonstrated experience building and scaling teams in fast-paced, ambiguous, or early-stage environme

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