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- Tasks: Lead customer success initiatives and ensure seamless AI integration for enterprise clients.
- Company: Join Abacus.AI, a leader in transforming AI deployment for businesses.
- Benefits: Enjoy a competitive salary, equity options, and professional growth opportunities.
- Other info: Work in a collaborative environment with cutting-edge AI solutions.
- Why this job: Be at the forefront of AI technology and make a real impact on customer success.
- Qualifications: 5+ years in customer success with strong technical communication skills.
The predicted salary is between 60000 - 80000 £ per year.
Company: Abacus.AI
Location: Remote / (US EST Timezone)
Type: Full-time
About Abacus.AI: Abacus.AI is an enterprise AI platform that transforms how businesses build and deploy AI systems. Our platform automates AI development through advanced generative AI technology, eliminating the need for extensive technical expertise. Our core offerings include ChatLLM Teams with access to leading AI models, DeepAgent for autonomous task execution, and customizable AI agents for chatbots, workflows, and enterprise automation. We also contribute to the AI community through LiveBench.ai benchmarking and open-source projects like Dracarys and Smaug. We make sophisticated AI and machine learning capabilities accessible to organizations regardless of size or technical resources.
Role Overview: We’re looking for a Senior Customer Success Engineer (5+ years experience) to serve as the primary technical advocate and strategic partner for our enterprise customers. In this role, you will be responsible for the long-term health of the account, ensuring that our AI solutions are successfully integrated into the customer’s daily workflows and continue to deliver high-level business value.
Key Responsibilities:
- Lead Executive & Technical QBRs: Drive Quarterly Business Reviews to showcase ROI, review usage metrics, and align our product roadmap with the customer’s evolving business goals.
- Drive Super Assistant Rollout: Act as the strategic lead for deploying our Super Assistant across customer teams, providing hands-on guidance on best practices, user enablement, and change management to ensure broad adoption.
- Proactive Health & Issue Monitoring: Continuously monitor account health to identify ongoing technical friction or blockers; collaborate with our internal Data Science and Support teams to resolve issues before they impact the customer experience.
- Technical Bridge & Orchestration: Serve as the high-level technical point of contact who translates customer needs into actionable tasks for our DS team, ensuring that the actual technical execution remains aligned with the customer's strategic vision.
- Expansion Discovery: Partner with the Sales team to identify new use cases for our AI capabilities, helping customers expand their footprint and see deeper value from the Abacus platform.
Required Qualifications:
- Strategic Technical Communication: Exceptional ability to bridge the gap between technical and non-technical stakeholders; you can explain LLM performance or RAG architecture to an executive just as easily as you can discuss API integration with a developer.
- Generative AI & LLM Literacy: Solid understanding of the GenAI landscape, including hands-on experience with Prompt Engineering, RAG (Retrieval-Augmented Generation) architectures, and the nuances of deploying LLMs in a corporate environment.
- Functional Machine Learning Knowledge: A strong conceptual grasp of the ML lifecycle from data prep, model training, and evaluation metrics allowing you to collaborate effectively with internal Data Science teams and guide customers through technical deployment.
- Program & Rollout Management: Proven track record of managing technical software rollouts (like an AI 'Super Assistant') within large organizations, focusing on user adoption, monitoring ongoing health, and steering account progress through QBRs.
What We Offer:
- Competitive salary and equity package
- Opportunity to work with cutting-edge AI technology
- Collaborative and innovative work environment
- Professional development and learning opportunities
Configuration Management Engineer (Hybrid) in England employer: Abacus.AI
Contact Detail:
Abacus.AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Configuration Management Engineer (Hybrid) in England
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to the role. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 3
Showcase your skills! Create a portfolio or a project that highlights your expertise in generative AI and machine learning. This can really set you apart from other candidates.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Configuration Management Engineer (Hybrid) in England
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the role. Highlight your experience with AI and customer success, and show us how you can bridge the gap between technical and non-technical stakeholders.
Showcase Your Technical Skills: We want to see your understanding of generative AI and LLMs. Include specific examples of your hands-on experience with prompt engineering or any relevant projects that demonstrate your technical prowess.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to explain your achievements and how they relate to the role. We appreciate a well-structured application that gets straight to the point!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Abacus.AI
✨Know Your AI Stuff
Make sure you brush up on your knowledge of generative AI and LLMs. Be ready to discuss how these technologies can be integrated into business workflows, as well as any hands-on experience you have with prompt engineering or RAG architectures.
✨Master the Art of Communication
Since this role requires bridging the gap between technical and non-technical stakeholders, practice explaining complex concepts in simple terms. Think about how you would describe LLM performance to an executive versus discussing API integration with a developer.
✨Showcase Your Project Management Skills
Prepare examples of past experiences where you've successfully managed software rollouts, particularly in large organisations. Highlight your strategies for user adoption and how you monitored account health during these projects.
✨Be Ready for QBR Discussions
Understand the importance of Quarterly Business Reviews (QBRs) and be prepared to discuss how you would drive these meetings. Think about how you would showcase ROI and align product roadmaps with customer goals, as this will be key in your role.