At a Glance
- Tasks: Lead a team of pre-sales Solutions Architects in the Retail and CPG sectors.
- Company: Join a dynamic tech company focused on AI and data solutions.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Be part of a collaborative culture with excellent career advancement opportunities.
- Why this job: Make an impact by driving innovation and customer success in a fast-paced environment.
- Qualifications: Experience in pre-sales leadership and a passion for AI and Cloud technologies.
The predicted salary is between 63000 - 77000 £ per year.
As a Manager, Field Engineering (Data and AI), you will lead a team of pre-sales Solutions Architects focusing on complex, strategic accounts, helping to lead our UK&I expansion with a specific focus on the Retail and Consumer Packaged Goods sectors. Your experience partnering with sales organisations will help to drive accelerated adoption of the platform in customers, demonstrated by revenue growth, while coaching new sales and pre-sales team members to work together. You will guide your team and be involved with opportunities to enhance your team's effectiveness. You must be a skilled communicator with experience addressing complex, business value-focused solutions; supporting complex sales cycles; and building relationships with key stakeholders in large corporations. You will report to the Director, Field Engineering.
The impact you will have:
- Manage hiring, onboarding and building your Pre-Sales Solutions Architect team
- Where required, rapidly scale the designated team without sacrificing quality
- Comfortable leading by example by using AI to improve day-to-day workflows to scale the team output
- Build a collaborative culture within a rapid-growth team.
- To embody and promote Databricks' customer-obsessed, teamwork and diverse culture
- Support an increase in consumption revenue through the investment of Solutions Architect involvement in sales cycles
- Promote a solution and value-based selling field-engineering organisation
- Display an understanding of business needs and revenue potential for accounts in the assigned region
- Build Databricks' brand in UK&I in partnership with the Marketing and Sales team
- Lead from the front by engaging directly with key customer stakeholders to ensure and speed up customer projects and technical implementation decisions
- Help Databricks continue to expand by inspiring our customers as we evolve our processes to support our business and technical growth
What we look for:
- Have AI native builder mentality by using AI to enhance your own productivity and that of your team
- Experience in a pre-sales leader role - developing, managing and building a team of successful Big Data, AI, or Cloud professionals.
- Experience in a customer-facing role across the Retail and CPG sectors in the UK and Ireland
- Experience in developing go-to-market (GTM) strategies
- Experience in complex strategic accounts
- Have experience scaling and mentoring field and technical teams
- Knowledgeable in and passionate about data-driven decisions, AI, and Cloud software models
- Great at instituting processes for technical field members to improve efficiency
Pre-sales Engineering Manager (Retail & CPG) in London employer: Databricks
Databricks is an exceptional employer that fosters a dynamic and innovative work culture in the heart of London. With a strong emphasis on employee growth, you will have access to continuous learning opportunities and the chance to mentor others, all while working with cutting-edge data analytics solutions. The collaborative environment encourages creativity and teamwork, making it a rewarding place for those passionate about technology and client engagement.
StudySmarter Expert Advice🤫
We think this is how you could land Pre-sales Engineering Manager (Retail & CPG) in London
✨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 Databricks 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
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We think you need these skills to ace Pre-sales Engineering Manager (Retail & CPG) in London
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 Databricks.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Databricks 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 Databricks
✨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 Databricks 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.