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For Companies At a Glance
- Tasks: Build and optimise data pipelines for our GTM systems, driving efficiency and insights.
- Company: Join a forward-thinking company focused on data-driven growth and innovation.
- Benefits: Attractive salary, flexible working options, and opportunities for professional development.
- Why this job: Make a real impact by shaping the future of our sales and marketing strategies.
- Qualifications: 5+ years in GTM systems, strong SQL and Python skills, and excellent problem-solving abilities.
- Other info: Collaborative environment with a focus on career advancement and continuous learning.
The predicted salary is between 48000 - 72000 £ per year.
About the Role
As the GTM Data Engineer, you will be responsible for integrating the revenue stack and building and optimizing the robust and scalable data pipelines that fuel the GTM system. You will be architecting the engine that powers our sales funnel, marketing attribution, and customer health scoring, providing data-driven recommendations that help accelerate growth and improve GTM efficiency. The ideal candidate possesses the technical rigor of a Data Engineer and the strategic mindset of a GTM specialist.
Key Responsibilities
- Lead the management and connection of the GTM systems stack—including CRM, Sales engagement, CDP, data enrichment etc tools into a cohesive, scalable stack.
- Drive system and process improvements to increase efficiency, reduce friction, and strengthen data quality.
- Partner with Product, Sales, Marketing, and CS leadership to operationalize new GTM motions and ensure system support.
- Translate business requirements from stakeholders into technical schemas that support GTM use cases such as 360-degree view of the customer journey creation, automated outbound sequencing and territory management.
- Create seamless and scalable data integrations between all GTM tech stack components.
- Design, build, and maintain scalable ELT/ETL pipelines that centralize data from disparate GTM sources into our data warehouse.
- Own the "Reverse ETL" process to push actionable insights from the warehouse back into frontline tools (e.g., pushing lead scores into Salesforce or churn alerts into Slack).
- Ensure data quality and observability across the GTM stack and implement processes and tools to monitor data quality, ensuring the reliability and integrity of the "Single Source of Truth" data assets.
Analytics & Optimization
- Build and optimize dbt models to transform raw GTM data into clean, analysis-ready tables.
- Collaborate with Data Science to implement predictive models for Propensity to Buy and Churn Prediction directly into the GTM workflow.
Preferred Experience and Qualifications
- Bachelor’s or Master’s degree in Marketing, technical or business-related field.
- 5+ years of experience and deep technical understanding of GTM systems, including Salesforce (SOQL, APIs), Marketing Automation platforms for Reverse ETL.
- High proficiency in SQL and Python. Experience with dbt (Data Build Tool) and cloud warehouses (Snowflake, BigQuery, or Redshift).
- Orchestration: Experience with Airflow, Dagster, or Fivetran.
- API Mastery: Ability to work with REST APIs to pull data from platforms that don't have native integrations.
- Proven experience building and maintaining data pipelines for GTM-focused data (leads, accounts, opportunities, bookings).
- Exceptional analytical and problem-solving skills; able to move from data to insight to action.
- Excellent communication and stakeholder management skills across functions and seniority levels.
Senior GTM Engineer employer: Neara
Contact Detail:
Neara Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior GTM Engineer
✨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 that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or a GitHub repository showcasing your projects and achievements. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to GTM systems. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior GTM Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior GTM Engineer role. Highlight your technical prowess in data engineering and your strategic mindset in GTM systems. We want to see how you can integrate those two worlds!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about the role and how your background makes you the perfect fit. Don’t forget to mention specific projects or achievements that showcase your expertise in building scalable data pipelines.
Showcase Your Technical Skills: We’re looking for someone with a strong technical background, so make sure to highlight your experience with SQL, Python, and any relevant tools like dbt or Airflow. Include examples of how you've used these skills to drive efficiency and improve data quality in previous roles.
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 don’t miss out on any important updates. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at Neara
✨Know Your Tech Stack
Make sure you’re well-versed in the specific tools mentioned in the job description, like Salesforce, dbt, and cloud warehouses. Brush up on your SQL and Python skills, as you'll likely be asked to demonstrate your technical prowess during the interview.
✨Understand GTM Processes
Familiarise yourself with the end-to-end GTM processes and how data flows through them. Be prepared to discuss how you’ve previously optimised these processes or integrated systems to improve efficiency. Real-world examples will make your answers stand out!
✨Showcase Your Problem-Solving Skills
Prepare to tackle hypothetical scenarios that test your analytical and problem-solving abilities. Think about past challenges you've faced in building data pipelines or ensuring data quality, and be ready to explain your thought process and solutions.
✨Communicate Effectively
Since this role involves collaboration across various teams, practice articulating complex technical concepts in a way that non-technical stakeholders can understand. Highlight your experience in stakeholder management and how you’ve successfully communicated insights in previous roles.
