TalentNeuron

Account Manager

• Managing a portfolio of accounts comprising current members.
• Partnering with Chief HR Officers, Heads of Talent Acquisition, and HR Directors to conceive and execute impactful enterprise-wide strategies.
• Identifying and nurturing new business prospects within organizations new to the TalentNeuron ecosystem.
• Guiding customer satisfaction, enhancing account retention and growth through strategic collaboration with clients and internal TalentNeuron teams.
• Cultivating fresh relationships for TalentNeuron via proactive efforts within your existing accounts as well as untapped territories.
• Understanding customer needs and working harmoniously with TalentNeuron peers to ensure customer success, focusing on sign-ups, upgrades, and renewals.
• Educating customers on the value proposition of TalentNeuron services throughout their adoption journey.
• Conducting forecasting and meticulous account planning on monthly, quarterly, and annual timelines.

Account Manager – German Speaking

Backend Engineer

• Design and build scalable, robust, and maintainable data pipelines and ETL processes.
• Work on our HR Analytics Platform to parse job postings (and other online data) and implement analytics to feed into our SaaS platforms and Market Intelligence projects.
• Develop and maintain data warehouses and databases using technologies such as Redshift, PostgreSQL or similar.
• Work closely with data scientists and analysts to understand their requirements and ensure data quality and consistency.
• Collaborate with other developers and engineers to build efficient, reliable, and performant systems.
• Write clean, efficient, and well-documented code in Python. Develop and maintain RESTful APIs to provide access to data and services.
• Troubleshoot and resolve data-related issues as they arise.
• Stay up-to-date with the latest technologies and trends in data engineering and REST API development.

Python Developer – Data Engineering

DevOps Engineer

• Collaborating with our web development, data engineering, and business teams to design and deploy reliable, scalable, and secure infrastructure
• Ensuring high availability and uptime of our applications by implementing monitoring and alerting systems
• Automating tasks and workflows using scripts, CI/CD pipelines, and other tools to streamline development and deployment processes
• Maintaining optimal use of AWS infrastructure and databases to ensure scalability and cost-effectiveness
• Staying up-to-date with the latest DevOps tools and technologies to continuously improve our processes and infrastructure
• Participating in code reviews, architecture discussions, and other activities to help maintain best practices across our engineering teams
• Providing technical guidance and mentorship to other team members, helping to grow their skills and improve our overall engineering capabilities
• Having knowledge of networking concepts such as DNS, VPN, load balancing, and security groups