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- Tasks: Lead enterprise sales for transformative AI and data solutions with Databricks.
- Company: Fast-growing AI and Data Consulting firm with a focus on innovation.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Why this job: Make a real impact by shaping multi-year transformation journeys for top enterprises.
- Qualifications: 8-10+ years in enterprise technology sales with a focus on Databricks solutions.
- Other info: Join a team where your sales credibility and technical expertise truly matter.
The predicted salary is between 80000 - 100000 ÂŁ per year.
This is a standout opportunity for a Databricks‑aligned enterprise seller to own and build a strategic pipeline, influence go‑to‑market direction, and make a visible impact on business growth within a high‑performing, specialist AI & data consultancy.
We’re partnering with a fast‑growing AI and Data Consulting firm trusted by enterprise organisations to deliver large‑scale Lakehouse‑led transformation programmes. The business is looking for a senior sales leader with deep experience selling Databricks‑centric data and AI solutions into complex enterprises. This role is not about transactional licences — it’s about shaping multi‑year transformation journeys, positioning Databricks at the core, and partnering with clients to unlock real business value from their data.
You’ll operate at board and C‑suite level, working closely with consulting and engineering leaders to design and close end‑to‑end Databricks, analytics, and AI programmes. Sector focus includes Financial Services, Insurance, and Energy, with enterprise‑scale deals at the heart of the role.
- Driving net‑new enterprise sales centred on Databricks‑led data and AI transformation
- Owning full enterprise sales cycles, from early value‑led conversations through to contract signature
- Leading C‑level discussions around Lakehouse architecture, advanced analytics, AI/ML, and data modernisation
- Building and managing a strong pipeline of large, multi‑stream transformation opportunities
- Partnering closely with consulting, architecture, and delivery teams to shape compelling Databricks‑centric propositions
- Acting as a senior commercial ambassador across clients, Databricks partners, and industry events
8-10+ years’ experience in enterprise technology or consulting sales. Proven background selling through services‑led, consulting, or systems integrator models. Strong experience selling Databricks, modern data platforms, analytics, or AI solutions. A structured, value‑based enterprise sales approach, not volume or transactional selling. Comfortable navigating technically sophisticated conversations while maintaining commercial ownership. A self‑starter mindset — motivated by growth, impact, and building something meaningful.
Join a consultancy where sales credibility, technical depth, and delivery quality really matter.
Senior Services Sales Lead in City of London employer: Primus Connect
Contact Detail:
Primus Connect Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Services Sales Lead in City of London
✨Tip Number 1
Network like a pro! Get out there and connect with industry professionals on LinkedIn or at events. We can’t stress enough how important it is to build relationships that could lead to job opportunities.
✨Tip Number 2
Prepare for those interviews! Research the company, understand their Databricks solutions, and be ready to discuss how you can drive enterprise sales. We want you to shine and show them why you’re the perfect fit!
✨Tip Number 3
Follow up after your interviews! A quick thank-you email can go a long way in keeping you top of mind. We believe showing appreciation reflects your professionalism and enthusiasm for the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. We’re here to help you land that dream job, so take advantage of all the resources we offer!
We think you need these skills to ace Senior Services Sales Lead in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role. Highlight your experience with Databricks and any relevant enterprise sales achievements. We want to see how you can shape those multi-year transformation journeys!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data and AI, and how your background aligns with our mission. Show us that you’re not just another applicant, but the perfect fit for our team.
Showcase Your Sales Approach: We’re looking for a structured, value-based sales approach. In your application, give examples of how you've navigated complex sales cycles and led C-level discussions. This will help us understand your strategic mindset!
Apply Through Our Website: Don’t forget to apply 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, we love seeing candidates who follow the process!
How to prepare for a job interview at Primus Connect
✨Know Your Databricks Inside Out
Make sure you have a solid understanding of Databricks and its applications in data and AI. Be prepared to discuss how you've successfully sold Databricks solutions in the past, focusing on specific examples that highlight your experience with enterprise clients.
✨Master the Art of Value-Based Selling
This role is all about shaping multi-year transformation journeys, so be ready to demonstrate your value-based sales approach. Prepare to discuss how you've influenced go-to-market strategies and created compelling propositions that resonate with C-suite executives.
✨Showcase Your Sector Knowledge
Familiarise yourself with the Financial Services, Insurance, and Energy sectors. Be prepared to discuss industry-specific challenges and how Databricks can address them. This will show that you understand the market and can speak their language.
✨Engage in Technical Conversations
Since you'll be navigating technically sophisticated discussions, brush up on Lakehouse architecture, advanced analytics, and AI/ML concepts. Be ready to articulate how these elements contribute to data modernisation and business value, showcasing your technical depth.