At a Glance
- Tasks: Lead AI adoption strategies and ensure customer success post-sale.
- Company: Nexus Black, a leader in AI solutions with a focus on innovation.
- Benefits: Competitive salary, flexible time off, 401K contributions, and tuition assistance.
- Other info: Join a dynamic team dedicated to transforming enterprise value through AI.
- Why this job: Shape the future of AI adoption and drive impactful customer relationships.
- Qualifications: 10+ years in customer success or technical leadership with AI expertise.
The predicted salary is between 120000 - 140000 £ per year.
Job Description
The AI Adoption Lead leads the overall post-sale value realization strategy for Nexus Black.
You are responsible for building, scaling, and managing the AI Adoption Engineering organization—ensuring customers achieve repeatable early wins, expanded value realization, and long-term strategic partnership.
This executive role sets the vision, defines operating models, influences GTM and product strategy, and drives portfolio-level adoption outcomes.
Key Responsibilities
- Set the strategy for post-sale relationship ownership and first-value acceleration.
- Serve as executive sponsor for key enterprise customers.
- Ensure consistency of customer outcomes across the entire adoption organization.
- Build a world-class customer experience aligned with company strategy.
- Product-Focused Adoption
- Define adoption methodologies for Nexus, Black Loops, and Embedded AI at scale.
- Ensure the organization is trained and enabled on evolving product capabilities.
- Partner with Product leadership to align roadmap with customer needs.
- Drive innovation in workflows, integrations, and AI-enabled customer processes.
- Own portfolio-wide KPIs around adoption, time-to-first-value, retention, and expansion.
- Establish enterprise frameworks for value quantification and success planning.
- Ensure whitespace discovery and strategic expansion opportunities are consistently surfaced.
- Partner with Sales Leadership on revenue strategy and renewal processes.
- Technical Enablement & Execution
- Oversee execution quality for POCs, pilots, and scaled rollouts.
- Ensure the team operates with excellence across configuration, integration, and technical troubleshooting.
- Drive cross-team coordination between Product, Engineering, and Support.
- Create long-term organizational capability for high-complexity customer use cases.
- Cross-Functional Collaboration
- Represent the customer voice at the executive level, shaping company-wide strategy.
- Collaborate with Product, Engineering, and GTM leadership on roadmap and go-to-market alignment.
- Lead hiring, mentoring, coaching, and performance development across all adoption roles.
- Champion customer advocacy, references, and thought leadership programs.
- What We’re Offering
- Salary Range: $150,000 - $175,000 plus bonus
- Flexible paid time off, including sick and holiday
- 401K with Company contribution
- Flexible spending accounts
- Life insurance and disability benefits
- Tuition assistance
- Community involvement and volunteering events
Qualifications
- Executive communication and organizational leadership.
Strategic planning and operational excellence.
Deep understanding of AI adoption and enterprise value realization.
Ability to scale teams, processes, and customer impact.
10+ years in Customer Success, Solutions Engineering, or technical leadership roles.
Strong track record scaling post-sale functions.
Executive-level experience with AI, automation, or enterprise software.
Preferred
Experience overseeing large technical teams or customer portfolios.
Deep expertise in enterprise AI strategy and digital transformation.
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AI Adoption Lead employer: IFS
IFS is an exceptional employer that fosters a dynamic work culture where innovation thrives. With a focus on employee growth, we offer extensive opportunities for professional development and a competitive salary package, including flexible paid time off and comprehensive health insurance. Join us in a collaborative environment where your contributions directly impact enterprise customers and the future of AI solutions.
StudySmarter Expert Advice🤫
We think this is how you could land AI Adoption Lead
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at IFS or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to IFS.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like IFS.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like IFS that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace AI Adoption Lead
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at IFS.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at IFS and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at IFS
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If IFS uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
