Remote Position13.03.26
AI SCORE 8.5

Customer Experience (CX) /​ Implementations Lead - Remote

$90K–$120K/year

About the Role

We are seeking a talented Customer Experience (CX) / Implementations Lead to join our dynamic team. In this fully remote role, you will play a crucial part in enhancing customer satisfaction and driving successful implementations of our AI-driven solutions. As a Customer Experience (CX) / Implementations Lead, you will work closely with clients to understand their needs and ensure that our products meet their expectations. Your feedback will directly shape the product, making a significant impact on our customers' experience.

What You'll Do

  • Lead the implementation of our AI solutions, ensuring a seamless transition for customers.
  • Collaborate with cross-functional teams to enhance customer experience and operational performance.
  • Utilize data analysis to identify trends and improve customer satisfaction metrics.
  • Provide training and support to clients, ensuring they are equipped to use our products effectively.
  • Act as a liaison between customers and the product development team, advocating for customer needs.

Requirements

  • 3-5 years of experience in customer experience, implementations, or a related field.
  • Strong problem-solving skills and the ability to think critically.
  • Experience with project management and operational performance improvement.
  • Familiarity with AI technologies and software engineering principles.
  • Excellent communication and leadership skills.

Nice to Have

  • Experience with Intercom, Gorgias, or similar customer service platforms.
  • Knowledge of accounting or finance workflows.
  • Background in recruiting or talent acquisition.

What We Offer

  • 15 PTO days plus 12 public holidays.
  • Visa sponsorship option for relocation to NYC within 2 years.
  • Learning and development budget for personal growth.
  • Wellness perks to enhance your workday.
  • A high-speed culture with high expectations and opportunities for growth.
Why This Job8.5 of 10

This role offers a unique opportunity to lead customer experience initiatives in a rapidly growing AI company. With significant equity and a strong focus on personal growth, it's an attractive position for those looking to make an impact.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

Proficient in AI technologies such as machine learning and natural language processing, with the ability to identify customer needs and align them with product capabilities.

Strong project management skills using tools like Jira or Trello, enabling effective planning and execution of implementation projects in a remote work environment.

Analytical mindset with experience in data analysis using tools like Excel or Tableau, allowing for the interpretation of customer feedback and enhancement of customer experience strategies.

Learning Resources

Customer Experience Fundamentalscourse

Career Path

Customer Experience (CX) / Implementations Lead(Now)Customer Success Manager(1-2 years)Director of Customer Experience(3-5 years)

Market Overview

Market Size 2024
$12.5B
Annual Growth
16.4%
AI Adoption in CX
75%
Investment in CX Technologies
+45%
Labour Demand for CX Roles
+20%
Avg Salary for CX Implementations Lead
$95K

Skills & Requirements

Required
Customer ExperienceProject ManagementData Analysis
Growing in Demand
Customer Journey MappingVoice of Customer (VoC) AnalysisAI-Driven Personalization
Declining
Traditional Survey MethodsBasic CRM Software

Domain Trends

Personalization through AI
80% of consumers are more likely to make a purchase when brands offer personalized experiences, driving AI adoption in CX strategies.
Integration of Omnichannel Support
Companies with omnichannel customer engagement strategies retain 89% of their customers, highlighting the need for seamless communication across platforms.
Data-Driven Decision Making
Organizations that leverage data analytics in their CX strategies see a 5-10% increase in customer satisfaction scores, pushing the demand for data analysis skills.

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