Solutions Engineer Team Lead in London

Solutions Engineer Team Lead in London

London Full-Time 59400 - 72600 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead a team to deliver bespoke data solutions and support clients in leveraging data effectively.
  • Company: Join GoodFit, a forward-thinking company revolutionising lead generation with innovative data solutions.
  • Benefits: Enjoy private healthcare, gym access, and quarterly off-sites in the UK.
  • Other info: Inclusive workplace encouraging diverse applicants and offering support throughout the hiring process.
  • Why this job: Gain invaluable experience working with top B2B companies and learn from industry leaders.
  • Qualifications: Experience in Solutions Engineering, strong data analysis skills, and a passion for continuous improvement.

The predicted salary is between 59400 - 72600 £ per year.

Today most companies are reliant on their sales reps to find leads. The challenge? Reps struggle to find great prospects. Worse, they waste huge amounts of time disqualifying leads they can't sell to. This is a poor experience for reps, inefficient use of their skills and sunk cost for the business. GoodFit helps companies identify their leads programmatically and build a dataset based on their unique requirements. We only source the accounts that meet the company's qualification criteria and enrich them with the most useful data points. With the company's market mapped, they can more efficiently distribute & prioritise leads, while delivering compelling messaging based on their prospect's needs.

As a Team Lead Solutions Engineer at GoodFit, you will lead a team of 2 Solutions Engineers whilst playing a crucial role both pre and post sales, ensuring we’re delivering the best data sets to our clients and helping them integrate and leverage the data effectively as a part of their GTM strategies.

In your role, you’ll have the chance to work closely with commercial teams at some of the fastest growing B2B companies around (such as Clari, Chili Piper, Deepgram, Paddle, and more), translating their needs into actionable datasets and advising them on how to utilise GoodFit platform in their go-to-market efforts.

Given your close contact with both existing clients and prospects, you will act as a bridge between GoodFit’s commercial and product team, advocating for client needs, sharing client feedback and helping product bring new solutions to market.

As team lead, you will be responsible for ensuring the Solutions team have the appropriate support, capacity and processes to ensure outstanding delivery of work whilst adopting a culture of continuous improvement.

What You'll Do

  • Pre-Sales: Engage in discovery sessions to translate prospects needs into bespoke datasets. Helping define the data points / data sources that capture a prospect’s ideal customer profile definition. Build demo datasets that demonstrate GoodFit’s value proposition.
  • Data Analysis: using the Goodfit platform to analyse and interpret customer data, how this correlates to Goodfit’s data sets and how to best educate prospects and customers on how we have arrived at our definition of qualified account/ICP/best customers.
  • Onboarding: Work closely with Account Managers and new clients to deliver their solution including guiding them through possible configurations and best-practice. Meanwhile, validating that we map the right market of companies they want to target, and enrich them with the required data based on their GTM plans. Help our clients integrate the data into their existing tools such as CRMs (e.g. SFDC, HubSpot), sequencing tools (e.g. Salesloft, Lemlist) or data warehouses (e.g. Snowflake).
  • Client Support: Own communications with existing clients, helping them adjust their dataset, data processes, and educate them on overall product capabilities.
  • Internal Collaboration: Represent the voice of the customer and work closely with the engineering and product teams to relay feedback and push for continual product improvement. Help maintain internal and external documentation of best practices and common solutions.
  • Team Lead: oversight of and responsibility for ensuring processes for managing workload, prioritisation of tasks and high performance of the team.

We'd Love to Hear From You If

  • Passionate about data and how it can be used to drive commercial teams productivity.
  • Genuine curiosity about all things GTM and proactively follows and researches new ideas and concepts relating to GTM.
  • Have previous experience in Solutions / Sales Engineering or Forward Deployment Engineering roles within SaaS or Data industries, working directly with the clients to help them utilise the product in the most effective way and advise them on best practices.
  • Have strong technical skills in data analysis, are proficient with spreadsheets, and have experience in data wrangling and transformation. Ideally with a basic knowledge of SQL, JSON data structures, and API functionalities.
  • Are curious about new technologies and how they might improve the day to day of teams in the commercial organisation.
  • You are obsessed with continuous improvement be that process, people or product.
  • Experienced / used common sales tech stack tooling such as Salesforce or HubSpot.
  • Experience in prioritising workloads and communication with internal stakeholders.

Why Join Us?

  • Work closely with a leadership team who’ve built and scaled multiple revenue teams to $100M+ ARR (you’ll learn more in 12 months than most do in 5 years).
  • Quarterly off-sites in the UK (past trips: Oxford, Bath).
  • Top-tier equipment & Shoreditch HQ.
  • Private healthcare insurance.
  • Gym access, monthly team events & more.

Hiring Process

  • Screening call with Adam: introductions, an overview of the role, and an initial conversation about your experience and motivation (30 mins).
  • Task interview with Aleks, Joanna, and Adam: presentation of your task and discussion of your approach (60 mins).
  • Meet the team with Joanna and Ammar: an informal conversation with your potential future teammates (30 mins).

Inclusion at Goodfit Ltd.

Goodfit Ltd. is an equal opportunity employer and we strongly encourage people of all ages, colour, lesbian, gay, bisexual, transgender, queer and non-binary people, veterans, parents, people with disabilities, and neurodivergent people to apply. We're happy to make any reasonable adjustments that will help you feel more confident throughout the process, please don't hesitate to let us know how we can help.

Research shows that some candidates, particularly women and people from underrepresented groups, may hesitate to apply if they don’t meet every listed qualification. If this role excites you, we encourage you to apply even if your experience doesn’t align perfectly.

Solutions Engineer Team Lead in London employer: GoodFit

GoodFit Ltd. is an exceptional employer that thrives in a high-growth startup environment, offering employees the chance to work closely with senior commercial leadership and engage in impactful projects. With a strong focus on collaboration and innovation, team members are encouraged to develop their skills and contribute to meaningful go-to-market strategies, making it a rewarding place for those looking to drive growth and make a difference.

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Contact Details:

GoodFit Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Solutions Engineer Team Lead in London

✨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 GoodFit!

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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 GoodFit.

✨Apply Directly through Our Website

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We think you need these skills to ace Solutions Engineer Team Lead in London

Data Analysis
Technical Skills in Data Analysis
Proficiency with Spreadsheets
Data Wrangling and Transformation
Basic Knowledge of SQL
Understanding of JSON Data Structures
API Functionalities

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!

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Craft a Tailored Cover Letter:For a full-time role at GoodFit, 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 GoodFit. 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 GoodFit

✨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!

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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 GoodFit!

✨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.