At a Glance
- Tasks: Lead a dynamic team of Sales Engineers to drive customer success with AI-powered analytics.
- Company: Join ThoughtSpot, a leader in modern analytics with a collaborative and innovative culture.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Be part of a fast-paced environment with excellent career advancement opportunities.
- Why this job: Make a real impact by transforming how organisations leverage data and AI.
- Qualifications: 5+ years in Solution Engineering with leadership experience and a passion for analytics.
The predicted salary is between 80000 - 95000 £ per year.
As the Manager of Solution Engineering at ThoughtSpot, you’ll lead a team of high‑performing Sales Engineers focused on driving value for customers across the EMEA region. Your mission is to empower your team to deliver compelling technical evaluations, guide strategic sales cycles, and help customers realize the full potential of ThoughtSpot’s AI‑powered Modern Analytics Cloud. This is a highly visible leadership role that bridges the gap between Sales, Product, and Customer Success — ensuring customers receive both strategic and hands‑on support throughout their journey with ThoughtSpot.
The ideal candidate brings a strong blend of technical leadership, customer‑facing expertise, and passion for helping organizations transform how they leverage data, analytics, and AI to drive business outcomes.
What You’ll Do:- Lead, coach, and mentor a team of Solution Engineers supporting customers across EMEA spanning a wide range of industries and use cases.
- Partner closely with sales leadership to define go‑to‑market strategies, regional coverage, and customer engagement models.
- Ensure your team delivers compelling, value‑driven demos and technical validations (POVs, POCs, pilots) that showcase ThoughtSpot’s differentiated AI and analytics capabilities.
- Roll up your sleeves and get hands‑on with your team when needed, providing technical guidance and direct support on complex customer engagements and technical evaluations.
- Drive team excellence in discovery, storytelling, and objection handling tailored to diverse customer needs and regional market dynamics.
- Help customers understand how AI‑powered analytics, natural language querying, and intelligent automation can accelerate decision‑making and unlock business value.
- Collaborate cross‑functionally with Product, Marketing, Customer Success, and Support to bring customer insights back into the business and influence product innovation.
- Stay current on emerging trends across AI, generative AI, cloud data platforms, and modern analytics technologies to position your team as trusted technical advisors.
- Leverage AI‑driven tools and insights to improve demo personalization, customer engagement strategies, and technical validation processes.
- Encourage experimentation and adoption of emerging technologies such as conversational AI, autonomous agents, predictive analytics, and AI‑assisted solution engineering workflows.
- Help recruit and onboard top SE talent, while fostering a culture of innovation, continuous learning, and operational excellence.
- Analyze and optimize team performance using KPIs and metrics to improve impact across the sales funnel.
- 5+ years of experience in Solution Engineering, Sales Engineering, or Pre‑Sales, with at least 1–2 years in a leadership or team lead role.
- Experience supporting or managing teams across EMEA, ideally within a high‑growth SaaS, AI, or data/analytics environment.
- Deep understanding of analytics, BI, AI/ML concepts, cloud platforms (AWS, Azure, GCP), and modern data architectures (data warehouses, data lakes, etc.).
- Proven ability to coach teams through complex sales cycles, technical evaluations, and executive‑level customer presentations.
- Familiarity with AI‑powered analytics platforms and modern data technologies, including tools such as Tableau, Microsoft Power BI, or Looker.
- Strong understanding of how organizations are leveraging generative AI and intelligent automation to modernize analytics and decision‑making workflows.
- Exceptional communication and collaboration skills, with the ability to influence cross‑functionally and translate complex technical concepts into business value.
- A strong customer‑first mindset and passion for enabling organizations through data and AI.
- Hands‑on experience with SQL, data modeling techniques, and/or scripting languages.
Hybrid Work at ThoughtSpot: Spotters are expected in‑office 3 days per week to experience the energy of their local office. This approach balances the benefits of in‑person collaboration and peer learning with the flexibility needed by individuals and teams.
Manager, Solutions Engineering employer: ThoughtSpot
At ThoughtSpot, we pride ourselves on being an exceptional employer that fosters a culture of innovation and continuous learning. As a Manager in Solutions Engineering, you will lead a dynamic team dedicated to empowering customers across the EMEA region with cutting-edge AI-powered analytics solutions. Our hybrid work model promotes collaboration while offering flexibility, ensuring that our employees thrive both personally and professionally in a supportive environment that values their contributions and growth.
StudySmarter Expert Advice🤫
We think this is how you could land Manager, Solutions Engineering
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like ThoughtSpot!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Manager, Solutions Engineering at ThoughtSpot.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like ThoughtSpot.
✨Apply Directly through Our Website
When you find a suitable opening like Manager, Solutions Engineering at ThoughtSpot, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Manager, Solutions Engineering
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at ThoughtSpot, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at ThoughtSpot. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at ThoughtSpot
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at ThoughtSpot!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
