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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 remote work flexibility.
- Other info: Collaborative culture with opportunities for professional growth and learning.
- 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
Engineer needed ASAP in England employer: Abacus.AI
Contact Detail:
Abacus.AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Engineer needed ASAP 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 those interviews! Research the company and its products, especially their AI solutions. Show them you’re not just another candidate; you’re genuinely interested in what they do.
✨Tip Number 3
Practice your technical communication skills. You’ll need to explain complex concepts clearly, so get comfortable discussing AI and machine learning with both techies and non-techies.
✨Tip Number 4
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 about joining our team.
We think you need these skills to ace Engineer needed ASAP in England
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Customer Success Engineer role. Highlight your experience with AI technologies and how you've successfully integrated solutions in past roles. We want to see how you can bring value to our team!
Showcase Your Communication Skills: Since this role involves bridging technical and non-technical conversations, demonstrate your ability to communicate complex ideas clearly. Use examples from your previous work where you’ve successfully explained technical concepts to diverse audiences.
Highlight Relevant Experience: Focus on your experience with generative AI and machine learning. Mention specific projects or tools you've worked with that relate to the responsibilities outlined in the job description. We love seeing hands-on experience!
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 see what you bring to the table!
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 your hands-on experience with prompt engineering and RAG architectures. This will show that you’re not just familiar with the concepts but can also apply them in real-world scenarios.
✨Bridge the Communication Gap
Practice explaining complex technical concepts in simple terms. You might have to talk to both tech-savvy folks and executives, so being able to switch your communication style is key. Think of examples where you've successfully done this in the past.
✨Showcase Your Project Management Skills
Prepare to discuss your experience managing software rollouts, especially in large organisations. Highlight specific instances where you drove user adoption and monitored account health. This will demonstrate your ability to lead initiatives like the Super Assistant rollout.
✨Be Proactive About Problem-Solving
Think of examples where you identified and resolved technical issues before they became problems for customers. Being able to showcase your proactive approach to monitoring account health will resonate well with the interviewers at Abacus.AI.