At a Glance
- Tasks: Help companies find and leverage leads with innovative data solutions.
- Company: Join a dynamic team at GoodFit, revolutionising sales processes.
- Benefits: Learn from industry leaders, enjoy private healthcare, gym access, and team events.
- Why this job: Make a real impact in sales efficiency while growing your skills in a supportive environment.
- Qualifications: Passion for data, experience in Solutions/Sales Engineering, and strong analytical skills.
- Other info: Inclusive workplace encouraging diverse applicants and continuous improvement.
The predicted salary is between 36000 - 60000 ÂŁ per year.
What we do? 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.
About The Role As a Solutions Engineer at GoodFit, you will play 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.
What You’ll Do
- Pre‑Sales: Engage in discovery sessions to translate prospects' needs into bespoke datasets. 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. 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.
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 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 or used common sales tech stack tooling such as Salesforce or HubSpot.
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.
- Top‑tier equipment & Shoreditch HQ.
- Private healthcare insurance.
- Gym access, monthly team events & more.
Hiring Process
- Introductory call with the hiring team: mutual intro's and overview of the role (30 mins).
- Deep‑dive interview with the CRO: experience, motivation, and role alignment (30 mins).
- Take‑home task review interview: presentation and discussion of the approach (60 mins).
- Team meet‑and‑greet: informal conversation with future team‑mates (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 Consultant employer: GoodFit.io
Contact Detail:
GoodFit.io Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Solutions Consultant
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities you might not find on job boards.
✨Tip Number 2
Prepare for those interviews! Research the company and practice common questions. Show them you’re not just another candidate, but someone who genuinely cares about their mission.
✨Tip Number 3
Follow up after interviews! A quick thank-you email can keep you top of mind. It shows you're keen and professional, which is always a plus.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications directly from candidates who are excited about what we do at GoodFit.
We think you need these skills to ace Solutions Consultant
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let your enthusiasm for data shine through! We love candidates who are genuinely curious about how data can drive productivity in commercial teams. Share any relevant experiences that highlight your passion.
Tailor Your Application: Make sure to customise your application to reflect the specific skills and experiences mentioned in the job description. We want to see how your background aligns with our needs, so don’t be shy about showcasing your relevant experience in Solutions/Sales Engineering.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on communicating your ideas effectively. Highlight your key achievements and how they relate to the role of a Solutions Consultant.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen to join our team at GoodFit!
How to prepare for a job interview at GoodFit.io
✨Know Your Data
As a Solutions Consultant, you'll be working with data sets all day. Make sure you brush up on your data analysis skills and understand how GoodFit's platform works. Familiarise yourself with common data structures like SQL and JSON, as well as the tools mentioned in the job description.
✨Understand the GTM Strategy
Since this role involves engaging with clients about their go-to-market strategies, take some time to research what makes an effective GTM strategy. Be ready to discuss how GoodFit can enhance their approach and provide tailored solutions based on their needs.
✨Prepare for Discovery Sessions
You'll need to translate prospects' needs into bespoke datasets, so practice asking open-ended questions that help uncover their pain points. Think about how you can demonstrate GoodFit's value proposition through real-world examples or case studies.
✨Show Your Curiosity
GoodFit values curiosity, especially about new technologies. Be prepared to discuss recent trends in the SaaS and data industries, and how they might impact commercial teams. This will show your passion for continuous improvement and your proactive approach to learning.