Staff Engineer, Revenue Management & Intelligence

Clari + Salesloft

5d•$185,000 - $210,000•Remote

About The Position

Clari + Salesloft are building the next era of enterprise revenue — one where teams make confident decisions powered by AI and real signals. By combining our scale, insights, and AI innovation, we’re building the industry’s first Predictive Revenue System, enabling humans and AI to work together to make smarter decisions and drive consistent growth. With thousands of customers using our platforms every day, we have an unmatched view into how revenue is actually won — the Revenue Context that reveals what happens, when, and with what outcome. This gives us a unique opportunity to transform an entire category and set a new benchmark for how modern revenue teams operate. Join us to help transform how companies around the world run revenue — and build the platform that will guide leading revenue teams into the future. At Clari + Salesloft, our Staff Engineer will be pivotal to our company’s success. We are looking for experienced Staff Engineers who can help realize Clari + Salesloft vision with their passion and proven track record of excellence and innovation. We are looking for engineers who are passionate about their work and who thrive working on leading-edge cloud-based technologies to develop ground-breaking AI-driven enterprise-grade applications.

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

Responsibilities

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.