Principal Engineer - Revenue Management & Intelligence [Remote]

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Principal Engineer – Revenue Management & Intelligence based in the United States.

This is an exceptional opportunity for a senior technology leader to shape the future of AI-powered revenue intelligence platforms used by organizations worldwide. In this strategic role, you will drive the architecture and evolution of highly scalable, data-intensive systems that empower modern revenue teams to make smarter, faster decisions. Working within a collaborative and innovation-driven engineering environment, you will influence technical direction across multiple teams, mentor senior engineers, and contribute to the development of cutting-edge cloud-native solutions. The position offers significant ownership, high visibility, and the opportunity to solve complex technical challenges at enterprise scale while helping define the next generation of intelligent business platforms.

Accountabilities:

• Lead the architecture, design, and delivery of large-scale distributed systems and revenue intelligence platforms.
• Define long-term technical strategy and make critical architecture decisions across multiple engineering teams.
• Partner closely with Product Managers, Designers, and cross-functional stakeholders to conceptualize and build innovative features and platform capabilities.
• Drive engineering excellence by improving system reliability, observability, scalability, and operational efficiency.
• Debug and resolve complex production issues across services and infrastructure layers.
• Design future-proof APIs and interfaces that support evolving business and customer requirements.
• Mentor and coach Staff and Senior Engineers, fostering technical growth and best practices across the organization.
• Champion performance optimization initiatives, including latency reduction, cost efficiency, and high-throughput system scaling.

Requirements

• 12+ years of experience designing and building distributed systems, platform infrastructure, or large-scale enterprise applications.
• Expert-level proficiency in Java or comparable object-oriented programming languages.
• Strong hands-on experience with cloud environments such as AWS or GCP, including Kubernetes platforms (EKS/GKE), serverless services, and managed cloud solutions.
• Deep knowledge of infrastructure and platform technologies, including Kubernetes, Terraform, Airflow, Ray, FastAPI, and gRPC.
• Extensive experience with messaging systems and distributed data architectures, including Kafka, Kinesis, Redis, and fault-tolerant system design.
• Strong expertise in SQL and NoSQL databases, data modeling, query optimization, and large-scale data processing.
• Advanced knowledge of observability tools such as Prometheus, Grafana, Datadog, or Splunk.
• Demonstrated ability to lead cross-functional technical initiatives and influence engineering strategy at an organizational level.
• Excellent communication, leadership, problem-solving, and mentoring skills with a collaborative mindset.
• Passion for innovation, continuous improvement, and building AI-driven enterprise solutions.

Benefits

• Remote-first work environment with flexibility and autonomy.
• Opportunity to work on industry-leading AI and revenue intelligence technologies.
• Exposure to highly complex technical challenges at global scale.
• Collaborative and inclusive engineering culture focused on learning and knowledge sharing.
• Significant ownership and influence over technical strategy and platform direction.
• Career growth opportunities within a rapidly evolving and innovative organization.
• Competitive compensation package, with salary determined based on experience, skills, and location.
• Comprehensive benefits package, including health and wellness offerings and additional employee support programs where applicable.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.