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SalesIntel Research, Inc. is seeking an Engineering Manager to guide our micro‑service platform and mentor a remote backend team. You’ll blend hands‑on technical ownership with people leadership—shaping architecture, driving cloud best practices, and coaching engineers in their careers.
You’ll define backend architecture using Java 17+, Spring Boot, AWS, and modern data stores, lead design reviews, set growth objectives, and foster a high‑trust, inclusive culture across time zones.
SalesIntel offers the most accurate company and contact data on the market. Our unique approach to data collection, enhancement, verification and growth solidifies our position as the best B2B data partner to revenue teams.
We're looking for a passionate and technically adept leader with a deep understanding of modern software development to join our leadership team and guide two critical teams:
Market Positioning Team: This team owns the development of features and functionalities that define our unique market position and drive user adoption.
Integrations Team: This team tackles the challenge of seamless integration with our ecosystem of partners and third‑party applications.
As Engineering Manager, you’ll wear many hats. You’ll be a coach, mentor, and technical leader, guiding your teams to achieve ambitious goals with clarity and vision. You’ll set the tone for technical excellence, collaboration, and a culture of continuous learning.
We're looking for an Engineering Manager to guide our micro‑service platform and mentor a fully remote backend team. You'll blend hands‑on technical ownership with people leadership—shaping architecture, driving cloud best practices, and coaching engineers in their careers and craft.
Define and evolve backend architecture built on Java 17+, Spring Boot 3, AWS (Containers, Lambdas, SQS, S3), Elasticsearch, PostgreSQL/MySQL, Databricks, Redis etc…
Lead design and code reviews; enforce best practices for testing, CI/CD, observability, security, and cost‑efficient cloud operations.
Drive technical roadmaps, ensuring scalability (billions of events, 99.9 %+ uptime) and rapid feature delivery.
Manage and inspire a distributed team of 6-10 backend engineers across multiple time zones.
Set clear growth objectives, run 1‑on‑1s, deliver feedback, and foster an inclusive, high‑trust culture.
Coach the team on AI‑assisted development workflows (e.g., GitHub Copilot, LLM‑based code review) to boost productivity and code quality.