At a Glance
- Tasks: Build relationships with AI/ML users and drive product adoption for real-world impact.
- Company: Join Arize AI, a leading platform in AI observability and evaluation.
- Benefits: Enjoy unlimited paid time off, comprehensive health benefits, and a supportive work culture.
- Other info: Remote-first company prioritising London-based candidates for EMEA customer engagement.
- Why this job: Be at the forefront of AI innovation and help top companies succeed with cutting-edge technology.
- Qualifications: 3+ years in Customer Success, strong communication skills, and a passion for AI/ML.
The predicted salary is between 60000 - 80000 £ per year.
AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That's where we come in. Arize AI is the leading AI & Agent Engineering observability and evaluation platform, empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to production scale, Arize AX unifies build, test, and run in a single workspace—so teams can ship faster with confidence.
We're a Series C company backed by top-tier investors, with over $135M in funding and a rapidly growing customer base of 150+ leading enterprises and Fortune 500 companies. Customers like Booking.com, Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works.
The Opportunity
As an AI Solutions Manager, you'll partner with some of the most innovative AI/ML teams in the world. You'll play a pivotal role in driving adoption, shaping product use cases, and ensuring our customers succeed in leveraging AI to achieve real-world impact. This role offers a unique chance to grow alongside a leading AI company and gain deep insights into cutting-edge AI/ML applications. While we are a remote-first company, we are prioritising candidates based in London as this role will work directly with our customers in the EMEA region.
The Team
Our engineering team builds systems that interact with some of the most complex software ever deployed in production. The team is composed of industry veterans that have built deep learning infrastructure, autonomous drones, ridesharing marketplaces, ad tech and much more.
What You'll Do
- Build and deepen relationships with AI/ML users to foster adoption, uncover new use cases, and drive expanded usage across customer accounts. This includes regular touchpoints like weekly/bi-weekly calls and ongoing account management.
- Conduct discovery with customers to understand their goals, share the Arize vision, demonstrate product capabilities, and propose tailored solutions.
- Collaborate with technical teams, including Customer Success Engineering, to address complex customer needs, ensure smooth implementation, and advise on technical best practices.
- Run workshops and training sessions with customers during onboarding and new functionality.
- Run QBRs to demonstrate account value, identify areas of opportunity, and strengthen customer partnerships.
- Proactively monitor product usage across your accounts to further gauge account health.
- Work closely with Account Management and Executive teams to identify upsell opportunities and align on customer health strategies.
- Effectively relay customer feature requests to internal teams and advocate for customer needs.
- Ensure support teams are aligned with customer requests and priorities.
What We're Looking For
- 3+ years of experience as a Customer Success Manager in SaaS.
- A self-starter mindset with the ability to thrive in limited process environments.
- Exceptional organisational skills with the ability to prioritise and manage multiple customer relationships effectively.
- Strong communication skills for articulating observations and fostering collaboration across teams.
- Proven ability to demo technical products and translate their value into tailored customer solutions.
- Thrives in fast-paced environments with a customer-first mindset and a focus on delivering measurable results.
- A strong team player who values collaboration and collective success.
- Bonus: Familiarity with AI/ML workflows or GenAI technologies.
The estimated annual salary and variable compensation for this role is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefit package, including medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support.
AI Solutions Manager, EMEA Solutions Engineering London (Remote) employer: Arize AI, Inc
Arize AI is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration. As a remote-first company with a strong presence in London, employees benefit from flexible working arrangements, comprehensive health packages, and unlimited paid time off, fostering a healthy work-life balance. With ample opportunities for professional growth and the chance to work alongside industry veterans on cutting-edge AI technologies, Arize AI empowers its team members to make a meaningful impact in the rapidly evolving AI landscape.
StudySmarter Expert Advice🤫
We think this is how you could land AI Solutions Manager, EMEA Solutions Engineering London (Remote)
✨Tip Number 1
Network like a pro! Reach out to people in the AI/ML space, especially those who work at companies you're interested in. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you’ve got experience with AI/ML, create a portfolio or case studies showcasing your work. This is your chance to demonstrate how you can add value to potential employers.
✨Tip Number 3
Prepare for interviews by understanding the company’s products and their impact. Be ready to discuss how you can help drive adoption and success for their customers—this is key for roles like the AI Solutions Manager.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at Arize AI.
We think you need these skills to ace AI Solutions Manager, EMEA Solutions Engineering London (Remote)
Some tips for your application 🫡
Show Your Passion for AI:When you're writing your application, let your enthusiasm for AI and ML shine through! We want to see how you connect with the transformative power of these technologies and how you can contribute to our mission at Arize AI.
Tailor Your Experience:Make sure to highlight your relevant experience as a Customer Success Manager in SaaS. We love seeing how your past roles have prepared you for this position, so don’t hold back on those specific achievements that align with what we’re looking for!
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so make sure your skills and experiences are easy to spot. Use bullet points if it helps to break down your accomplishments!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Arize AI, Inc
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI and ML technologies. Understand the latest trends and how they apply to real-world scenarios. Being able to discuss specific use cases or examples from your experience will show that you're not just familiar with the concepts, but that you can also apply them effectively.
✨Showcase Your Customer Success Skills
Prepare to share specific examples of how you've driven customer success in previous roles. Think about times when you fostered relationships, conducted workshops, or identified upsell opportunities. This will demonstrate your ability to manage multiple customer relationships and deliver measurable results.
✨Communicate Clearly and Confidently
Strong communication skills are key for this role. Practice articulating your thoughts clearly, especially when discussing technical products. You might even want to prepare a mini-demo of a product you've worked with before to showcase your ability to translate technical features into customer benefits.
✨Be Ready for Problem-Solving
Expect questions that assess your problem-solving abilities. Think of scenarios where you've had to troubleshoot issues or adapt solutions based on customer feedback. Showing that you can think on your feet and collaborate with technical teams will highlight your fit for the role.
