Jobgether
Jobgether

Director, AI Services

engineeringfull-timeUS
SALARY
$150k – $170k/yr
WORK TYPE
remote
JOB TYPE
full-time
INDUSTRY
general
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About the role

Accountabilities:

    • Build, define, and scale a comprehensive AI and data services portfolio, establishing offerings that address evolving client needs and create sustainable commercial opportunities.
    • Lead client-facing AI engagements across the full lifecycle, from discovery and data readiness through solution development, production deployment, adoption, and optimization.
    • Establish repeatable delivery methodologies, service standards, quality frameworks, tools, processes, and reusable assets that enable consistent and scalable execution.
    • Act as a senior strategic advisor to executive stakeholders, translating complex AI, data, and technology capabilities into clear business outcomes and measurable value.
    • Own delivery performance across engagements, including quality, staffing, capacity planning, scope management, client satisfaction, and operational execution.
    • Build, lead, and develop a high-performing team of AI, data, and technical services professionals, fostering accountability, collaboration, innovation, and continuous development.
    • Partner with Sales and business leaders to develop pipeline, identify opportunities, scope complex engagements, support proposals, and expand strategic client relationships.
    • Develop managed, subscription, and retained advisory services that extend client relationships beyond initial implementations and create recurring revenue streams.
    • Own the AI and data services P&L, with accountability for revenue, profitability, margin, growth, and recurring-revenue performance.
    • Maintain a strong client-first mindset by anticipating customer needs, solving complex problems, and consistently delivering valuable outcomes.
    • Collaborate across technical and business functions to ensure AI initiatives are practical, scalable, secure, and aligned with client objectives.
    • Where required, obtain customer approval for access to customer information, systems, or premises as part of service delivery.
    • Requirements:

      • 10+ years of experience in technology, consulting, or professional services, including at least 5 years leading a business unit, service line, delivery organization, or comparable function.
      • Demonstrated experience personally scoping, delivering, or leading client-facing AI solutions through to production and measurable business adoption.
      • Strong knowledge of applied AI and modern data technologies, including large language models (LLMs), agentic workflows, automation, data architecture, integrations, and analytics.
      • Proven P&L ownership with direct accountability for revenue, margin, profitability, and business growth.
      • Demonstrated experience building, launching, or scaling a new technology service offering or delivery capability.
      • Experience defining delivery methodologies, quality standards, operating processes, tools, and reusable service assets.
      • Proven ability to scope, position, and sell complex technology engagements to executive-level buyers and stakeholders.
      • Strong people leadership experience, including building, mentoring, and developing high-performing client-facing technical teams.
      • Executive presence and exceptional communication skills, with the ability to translate sophisticated technology concepts into clear business outcomes.
      • Strong commercial judgment, analytical thinking, problem-solving ability, and entrepreneurial mindset.
      • Ability to operate effectively in a fast-moving environment while balancing strategic priorities, operational execution, client needs, and financial objectives.
      • Strong collaborative and relationship-building skills, with a track record of influencing stakeholders across sales, technology, consulting, and business functions.
      • Experience serving SMB or mid-market organizations is preferred.
      • Background in ERP, CRM, business systems, data and analytics, or technology consulting is advantageous.
      • Experience with managed services, subscription offerings, or retained advisory models is a plus.
      • Experience working within a private equity-backed organization and relevant AI platform certifications are also desirable.
      • Benefits:

        • Base salary: $150,000–$170,000 per year.
        • Bonus eligibility in accordance with the applicable compensation plan.
        • Medical, dental, and vision coverage.
        • Accident, critical illness, and hospital indemnity insurance.
        • Employee Assistance Program (EAP).
        • Employer-provided life and AD&D insurance.
        • Short- and long-term disability insurance.
        • Flexible Spending Accounts (FSA).
        • Transportation and parking accounts.
        • Health Savings Account (HSA) with company contribution.
        • 401(k) retirement plan with matching contributions.
        • Legal benefits and identity theft protection.
        • Pet insurance.
        • Wellness program offerings.
        • Paid time off accrued per pay period, starting at 15 days annually based on years of service.
        • 8 paid holidays per year, including one floating holiday.
        • Remote work opportunity within the United States.
        • Inclusive workplace focused on collaboration, professional growth, and employee well-being.
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