Salesloft logo
Salesloft

Take the right actions to close every deal with the only revenue orchestration platform built around the seller workflow

Staff Engineer, Revenue Management – Intelligence

Full-stack EngineerSoftware EngineerFull TimeRemoteLeadTeam 501-1,000Since 2011H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

3 days ago

Salary

$185K - $210K / year

Seniority

Lead

Job Description

Staff Engineer, Revenue Management – Intelligence

Salesloft

• 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.

Job Requirements

  • 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

  • Performance bonus
  • Benefits and/or other applicable incentive compensation plans

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