Endodontist - Dawson Dental Waterloo, Guelph South, Cambridge

Jobleads
Ayr
3 weeks ago
Applications closed

Related Jobs

View all jobs

As the Head of Customer Experience at STAN, you’ll be a pivotal part of our Customer Success Team, becoming an expert in STAN AI, technical products, and integrations. You will lead the daily operations of the Implementation team, managing and mentoring associates to excel through empowerment and encouragement.

About Us:

We believe that properties can be managed autonomously. STAN is the first A.I. assistant for residential property managers. Launched in 2019 by two former property management executives, STAN is growing quickly and is already the largest A.I. assistant in the industry, offering multiple AI products to serve our clients.

Key Responsibilities:

  1. Become a STAN AI expert and lead the Implementation and customer success manager team, ensuring smooth operations and top-notch service.
  2. Recruit, mentor, and develop associates, fostering a high-performance environment.
  3. Provide world-class service to clients, managing complex implementation projects and supporting the Customer Success team in responding to inquiries.
  4. Actively contribute to the onboarding of new clients, developing and executing strategies to drive platform usage.
  5. Work closely with Sales, Bot Review, and Development teams to ensure a seamless customer experience and successful implementation.
  6. Monitor setup progress, identify potential risks, and guide next steps, becoming the internal voice of the customer.
  7. Build strong relationships with new and existing customer stakeholders, deeply understanding their business and operational objectives.
  8. Assist leadership, Sales & Marketing, and Customer Success teams with various duties, ensuring client retention and satisfaction.
  9. Spearhead data training for the STAN machine learning model, manage human-in-the-loop support, and develop strategic plans to enhance customer service and team productivity.

Requirements and Skills:

  1. 2-4 years of leadership experience in a fast-paced environment.
  2. Excellent communication skills, both verbal and written.
  3. Ability to prioritize, multitask, and manage time effectively.
  4. Proven experience in Startup/SaaS, Client Onboarding, Customer Service, and/or Customer Success.
  5. Tech-savvy with the ability to quickly learn and explain new products.
  6. Knowledge of CRM software, Project Management, and CS Platforms.
  7. Analytical and creative in finding solutions for customers.
  8. Relevant Bachelor’s Degree or equivalent experience.
  9. Strong negotiation skills and ability to set expectations with customers.

Join us at STAN to make a direct impact on our client experience and support programs while leading a team to success in the dynamic field of AI-driven property management.

Note:This is a full-time in-office role. Our office is at 111 Gordon Baker Rd in North York. Applicants should only apply if they are comfortable with an in-person atmosphere.

#J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Careers

Navigating AI Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

The field of Artificial Intelligence (AI) is growing at an astonishing pace, offering a wealth of opportunities for talented professionals. From machine learning engineers and data scientists to natural language processing (NLP) specialists and computer vision experts, the demand for skilled AI practitioners continues to surge in the UK and globally. AI career fairs present a unique opportunity to connect face-to-face with potential employers, discover cutting-edge innovations, and learn more about the rapidly evolving landscape of data-driven technologies. Yet, attending these events can feel overwhelming: dozens of companies, queues of applicants, and only minutes to make a great first impression. In this detailed guide, we’ll walk you through strategies to prepare for AI career fairs, provide you with key questions to ask, highlight examples of relevant UK events, and reveal the critical follow-up tactics that will help you stand out from the crowd. By the end, you’ll be armed with the knowledge and confidence to land your dream role in the ever-growing world of Artificial Intelligence.

Jobs

Common Pitfalls AI Job Seekers Face and How to Avoid Them

The global demand for Artificial Intelligence (AI) specialists continues to rise, with organisations across industries keen to implement machine learning, deep learning, and data-driven insights into their operations. Yet, as the market for AI professionals flourishes, so does the level of competition among candidates. Talented individuals who may otherwise be qualified often stumble on common pitfalls that can hinder their success in securing an AI-related role. These pitfalls can lie in their CV, interview approach, job search strategy, or even their understanding of what AI employers are looking for. This article aims to help job seekers in the UK’s AI sector—whether you’re fresh out of university, transitioning into AI from another field, or looking for a senior-level position—avoid the most common mistakes. We’ll discuss how to stand out in a crowded AI job market by improving your CV, acing interviews, and conducting an effective job search. Read on to discover the typical missteps AI professionals make when seeking employment and learn the strategies to avoid them.

Careers

Career Paths in Artificial Intelligence: From Research to Management – How to Progress from Technical Roles to Leadership and Beyond

Artificial Intelligence (AI) stands at the forefront of technological innovation, shaping everything from healthcare diagnostics to autonomous vehicles and natural language processing. With the UK widely recognised as a growing hub for AI research and development, there has never been a better time to explore a career in artificial intelligence—or to advance your current trajectory within the field. A key question that often arises is: How can professionals move from hands-on technical roles in AI to leadership and management positions? This comprehensive guide will walk you through the evolving career landscape in AI, from entry-level posts to executive roles. We will examine in-demand skills, recommended pathways for professional development, and strategies to help you seamlessly ascend from technical responsibilities to strategic leadership. Whether you’re a recent graduate, a self-taught data whizz, or an experienced machine learning engineer aspiring to lead teams, this article will provide you with practical insights tailored to the UK’s vibrant AI sector.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.