Backend Engineer – GTM Engineering

Accountabilities: Design and build data pipelines that collect account and contact information from multiple sources and APIs, clean and deduplicate records, calculate scores, and synchronize data with the CRM as a reliable source of truth. Develop and maintain the central data model and database connecting CRM, outreach, and product information. Build integrations between internal and third-party platforms using REST APIs and webhooks. Develop lightweight internal services and tools whenever existing solutions do not adequately meet business needs. Create signal detection, lead-scoring, routing, and alerting systems that help sales representatives identify the right accounts to prioritize and understand why they matter. Build AI-powered tools and agents that automate repetitive sales activities, including research, proposal preparation, and CRM updates. Deploy, schedule, monitor, and maintain production systems, implementing appropriate error handling, retries, rate limits, logging, and alerts. Take end-to-end ownership of technical problems by investigating issues, identifying root causes, delivering fixes, and documenting solutions. Work closely with Sales and Business Development teams to understand their workflows and translate operational needs into effective technical solutions. Collaborate with Engineering colleagues on system architecture, technical standards, and best practices. Continuously improve the reliability and scalability of GTM systems so teams can spend less time on manual tasks and more time engaging with customers. Requirements: Recent graduate with 0–2 years of experience and a degree in Computer Science or a related engineering discipline, supported by a strong academic record. At least one year of backend development experience gained through a first full-time role or internships, ideally in a startup environment. Strong engineering fundamentals, including proficiency in Python or another backend programming language, SQL, and data modeling. Practical experience building and consuming REST APIs and working with webhooks. Understanding of production software development practices, including Git, deployment, scheduling, testing, logging, and debugging. Systems-thinking mindset, with the ability to understand component dependencies and anticipate the impact of technical changes. Hands-on experience with AI coding tools and Large Language Model (LLM) APIs, such as Claude Code or the Claude API. Demonstrated ability to build and ship practical technical solutions, such as a feature, backend service, data pipeline, or internal tool. Strong analytical and structured problem-solving skills, curiosity, and the ability to learn unfamiliar technologies independently. Proactive and independent working style, with a willingness to take ownership of projects from conception through maintenance. Comfortable communicating remotely, particularly through clear and effective written communication. Genuine interest in understanding business needs, customer behavior, and how technology can improve sales outcomes. Professional fluency in spoken and written English. Availability to work with at least four hours of overlap with CET. German language skills are not required. Nice to have: Experience with cloud platforms such as AWS or GCP. Familiarity with data warehouses, CRM platforms and their APIs, or go-to-market tools such as Clay. Benefits: 100% remote work from India, supported by a virtual office environment. Annual compensation of approximately USD 20,000–32,000, depending on location and experience. Competitive local salary rates, designed to meet or exceed market levels. Generous equity package, offering an opportunity to share in the company's success. 26 days of annual vacation, in addition to local public holidays. Comprehensive health insurance coverage. Annual personal development budget of €1,000. Remote workspace budget and access to co-working spaces. Latest technology equipment, including a MacBook, monitors, and headphones. Annual company retreat and events designed to strengthen team connections. Access to experienced mentors through established investors and accelerator networks. A remote-first, collaborative culture that encourages ownership, initiative, customer focus, and continuous learning.