Staff Engineer, Revenue Management – Intelligence

Salesloft

Staff Engineer focused on developing AI-driven applications for revenue management at Clari + Salesloft. Collaborating with diverse teams to enhance platform capabilities and user experience.

Posted 7/7/2026full-timeRemote • 🇺🇸 United StatesLead💰 $185,000 - $210,000 per yearWebsite

Tech Stack

Tools & technologies

AirflowAWSCloudDistributed SystemsGoogle Cloud PlatformGrafanaGRPCJavaKafkaKubernetesMongoDBNoSQLPostgresPrometheusRayRedisSplunkSQLTerraform

About the role

Key responsibilities & impact

Shape future-proof interfaces that are easy to build against and meet the requirements of client-facing teams
Brainstorm with Product Managers, Designers, Frontend Engineers, and other cross-functional partners to conceptualize and build new features for our growing user base
Produce high-quality results by leading or contributing heavily to large cross-functional projects that have a significant impact on the business
Debug production issues across services and multiple levels of the stack, and uplevel the observability and reliability of the overall system
Improve engineering standards, and AI tooling adoption.

Requirements

What you’ll need

8+ years of experience in building distributed systems or platform infrastructure designed for high-scale, data-intensive workloads
Expert-level proficiency in Java or a similar object-oriented language and familiarity with infrastructure tooling (Airflow, Kubernetes, Ray, Terraform), service frameworks (FastAPI, gRPC), and observability platforms (Prometheus, Grafana, DataDog, Splunk)
Demonstrated experience working with cloud infrastructure, ideally AWS or GCP, including Kubernetes clusters (GKE/EKS), serverless architectures, and managed services (e.g., Lambda, Cloud Run, ECS)
Proven experience with distributed data infrastructure: message queues (Kafka, Kinesis), caching systems (Redis, Memcached), database optimization, and building resilient, fault-tolerant architectures
Familiarity with SQL (postgres) / NoSQL (MongoDB) and data warehouse modeling; capable of managing complex data queries, joins, aggregations, and transformations
Solid understanding of platform monitoring and optimization, including identifying performance bottlenecks, latency optimization, cost management, and scaling high-throughput API services efficiently
Deep experience building LLM-powered and agentic systems beyond chat-based interfaces.

Benefits

Comp & perks

Performance bonus
Benefits and/or other applicable incentive compensation plans

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

JavaDistributed SystemsCloud InfrastructureSQLNoSQLDatabase OptimizationMessage Queues (Kafka, Kinesis)Caching Systems (Redis, Memcached)Fault-Tolerant ArchitecturesLLM-Powered Systems

Soft Skills

CollaborationProblem-SolvingLeadership