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(UK) AI Integration Lead (Customer Success)

TN United Kingdom

Manchester

Hybrid

GBP 115,000

Full time

Today
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Job summary

An innovative firm is seeking a dynamic AI Integration Customer Success Lead to enhance customer experiences through AI technologies. This role offers a hybrid/remote working arrangement and involves developing AI-driven solutions, mentoring teams, and driving commercial improvements. With a focus on operational excellence, you will collaborate across teams to translate AI insights into business value. If you have a strong background in AI and a passion for customer success, this is an exciting opportunity to make a significant impact in a forward-thinking environment.

Qualifications

  • 5+ years of experience in AI, machine learning, or data science roles.
  • Proven track record of operational improvements in software organizations.

Responsibilities

  • Lead integration of AI technologies into customer success operations.
  • Develop AI-driven solutions to enhance customer experience.

Skills

Python
R
Java
Machine Learning
Deep Learning
AI Techniques
Customer Support Tools
Cloud Computing
MLOps

Education

Bachelor’s degree in Computer Science
Master’s degree in Data Science
PhD in a related field

Job description

Job Description

Our client is seeking a dynamic AI Integration Customer Success Lead to join their team. This role offers a hybrid/remote working arrangement based on your proximity to Manchester, with a competitive salary of £115K (negotiable). Candidates should have 5+ years of experience in AI, machine learning, or data science roles.

Role Overview: The AI Customer Success Lead will leverage AI to enhance customer experience and improve internal efficiencies. Responsibilities include integrating AI technologies into customer success operations, developing AI-driven solutions, and collaborating across teams to translate AI insights into business value. The role also involves mentoring teams and driving commercial improvements through AI strategies.

Key Responsibilities
  • Lead the integration of AI technologies into customer success operations.
  • Develop and implement AI-driven solutions to proactively resolve customer inquiries.
  • Define strategies for using AI to enhance internal efficiencies and streamline support processes.
  • Collaborate with cross-functional teams to translate AI insights into business value.
  • Mentor and lead a team focused on AI-driven customer success initiatives.
  • Drive commercial improvement through AI-enhanced customer journey strategies.
Essential Qualifications
  • Bachelor’s or Master’s degree in Computer Science, Data Science, Business Administration, or a related field. A PhD is a plus.
  • 5+ years of experience in AI, machine learning, or data science roles, with a focus on customer success or support.
  • Proven track record of operational improvements and cost reductions within a software organization.
  • Experience in leading and mentoring AI-focused teams.
Skills and Knowledge
  • Proficiency in Python, R, or Java.
  • Deep understanding of machine learning, deep learning, and AI techniques.
  • Experience with AI-driven customer support tools and frameworks.
  • Knowledge of cloud computing platforms and MLOps practices.
Core Competencies
  • Customer Centricity
  • Engaged communication
  • Organizational Governance
  • Values and Ethics
  • Personal Growth and Development
  • Connecting & Collaborating
  • Perseverance
  • Results and Goal orientation
  • Time management
  • Quality mindset
Additional Competencies
  • Growth Mindset
  • Courageous
  • Adaptability
  • Decisiveness
  • Stress Tolerance
  • Resilience
  • Emotional Maturity
  • Accountability
  • Inclusivity & Diversity mindset
  • Energy
Leadership & Strategic Skills
  • Problem-solving and analytical thinking
  • Planning and organizing
  • Innovative thinking
  • Financial acumen
  • Negotiation and persuasion
  • Stakeholder management
  • Judgment and decision-making
  • Building and sustaining culture
  • Industry & Business awareness
  • Strategic leadership and operational excellence
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