At a Glance
- Tasks: Lead the admin of our core commercial systems and ensure data quality.
- Company: Join a fast-growing tech startup with a focus on innovation.
- Benefits: Competitive salary, flexible work environment, and opportunities for growth.
- Other info: Collaborative culture with a focus on cross-functional teamwork.
- Why this job: Be the go-to person for system reliability and make a real impact.
- Qualifications: 5-10 years of CRM administration experience and strong technical skills.
The predicted salary is between 60750 - 74250 £ per year.
Competencies
We're looking for a GTM Systems Lead to own admin of our core commercial systems, our own instance of Planhat CRM, plus the sales intelligence and enrichment stack (e. g., Demandbase, Cognism, Fathom, Linked In Sales Navigator, and similar), and to be the person who turns GTM Operations & Strategy's designs into working system logic, keeps our data clean and enriched, and makes sure the right vendors are in the stack for the job.
What we're looking for
- Experience: 5-10 years administering a CRM (Salesforce, Hub Spot, or similar) and a GTM systems stack at a tech company or fast-growing startup.
You've owned systems other people depended on daily.
- Technical depth: Hands-on admin experience, building workflows, automation, and integrations, not just using the tools.
- Data fluency: Comfortable with data models, enrichment, and quality logic; you know what "clean data" actually requires operationally.
- Systems judgment: You can take a process design from GTM Operations & Strategy and build it into the system correctly the first time.
- Cross-functional collaboration: Clear communicator who works well with IT and Analytics and the commercial teams who use these systems daily.
- Ownership: Reliable point of accountability. When a system breaks or data quality slips, you're the one who catches it and fixes it.
- Trajectory
You'll own the systems layer end to end, from the design that lands on your desk through to the day-to-day reliability of everything commercial teams touch.
Here's what that looks like
- Own admin for our instance of Planhat CRM: users, permissions, fields, workflows, and the day-to-day configuration commercial teams depend on.
- Execute GTM Operations & Strategy's designs in-system, including segmentation, deal stages, deal scoring, routing rules, and other logic, translating their process design into working system logic without losing intent.
- Own admin for the sales intelligence & enrichment stack (Demandbase, Cognism, Fathom, Linked In Sales Navigator, etc.): configuration, licensing, and day-to-day usage support.
- Own data enrichment and quality: monitor coverage, hygiene, and dedupe; evaluate whether current vendors and workflows are still the right ones.
- Evaluate and manage relationships with GTM systems vendors: renewals, new tools, and retiring what's no longer earning its keep.
- Collaborate with IT on integrations, data flows, access, and security across the systems stack.
- Troubleshoot commercial teams' day-to-day systems issues and be the first point of contact when something breaks.
- Document configurations and changes so the stack is auditable and new team members can ramp quickly.
- Definition of Success
- Commercial teams trust the data in the systems enough to act on it without double-checking it
- When something breaks or a design needs to go live, you're the first call, and the fastest fix
- The systems you administer are reliable, adopted without friction, and accurately reflect what GTM Operations & Strategy designed
- You know Planhat's systems stack end to end, from CRM to enrichment tools, and you can see where it's fragile before it fails
- You are finding gaps in data quality or vendor fit and closing them before they become someone else's problem
- #J-18808-Ljbffr
GTM Systems Lead employer: Planhat
As a Manager in Deployment Strategy and Growth, you will thrive in a dynamic environment that champions innovation and accountability. Our company fosters a culture of ambition and collaboration, offering exceptional growth opportunities and the chance to make a tangible impact on customer success and revenue outcomes. Located in a vibrant area, we provide a supportive atmosphere where your tech-savvy curiosity and drive for excellence can flourish, making us an outstanding employer for top talent seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land GTM Systems Lead
✨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 Planhat!
✨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 GTM Systems Lead at Planhat.
✨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 Planhat.
✨Apply Directly through Our Website
When you find a suitable opening like GTM Systems Lead at Planhat, 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 GTM Systems Lead
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 Planhat, 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 Planhat. 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 Planhat
✨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 Planhat!
✨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.