
ClearlyRated
Remote Jobs
ClearlyRated® helps business service providers harness the client experience for growth.
4 Jobs
Backend Platform Engineer
ClearlyRatedClearlyRated® helps business service providers harness the client experience for growth.
• Real systems that enterprise clients depend on. Not greenfield experiments, but a world class brand new platform with production code that has to be correct, observable, and resilient. • Integration layer that ingests structured data from enterprise sources (Snowflake, BigQuery, SQL databases) and routes it through our platform. • A Snowflake-to-BigQuery bridge over ODBC: custom infrastructure work that will serve as the pattern for all future enterprise integrations. • Webhook-triggered survey automation engine. Business events in the client’s system translate into survey sends through a reliable, auditable event pipeline. • REST APIs consumed by our frontend, enterprise integrations, and third-party clients — you’ll design contracts that have to last. • Event-driven microservices on GCP Pub/Sub and Kafka — async processing, backpressure handling, dead-letter queues, the full picture. • Security and SSO integration for enterprise clients with complex credential and access models. • Permission and access control systems that reflect matrix organizational hierarchies.
AI/ML Engineer
ClearlyRatedClearlyRated® helps business service providers harness the client experience for growth.
• Our AI roadmap is live and shipping. You’ll work on systems that go from training and evaluation to production monitoring: • Survey timing optimization model — an ML system that learns the optimal moment to send a survey for each client relationship, maximizing response rates and data quality • NLP pipeline for free-text feedback analysis — classifying, scoring, and extracting structured signals from open-ended survey responses across thousands of enterprise clients • Client health scoring — an aggregate model that combines survey results, response patterns, historical sentiment, and relationship signals into a single predictive score per account • Agentic AI architecture using LLM orchestration (Google Vertex AI / ADK) — multi-agent systems that reason over client data and surface proactive recommendations to account managers • RAG system over enterprise knowledge bases — grounding LLM outputs in verified client data and platform knowledge • MLOps infrastructure: model versioning, A/B testing, inference cost monitoring, drift detection, and production observability for agent loops
Frontend Engineer
ClearlyRatedClearlyRated® helps business service providers harness the client experience for growth.
• Dashboard and data visualization components that surface NPS scores, client sentiment trends, and relationship health data across complex enterprise org structures • Permission-aware UI that adapts to matrix organizational hierarchies — the same data looks different depending on who you are and where you sit in the business • Survey automation interfaces connected to real-time event streams — when a webhook fires, something happens in the UI • Configurable digest and reporting builder for senior leadership, with composable layout and export capabilities • Component library and design system work that gets used by every engineer on the team • Performance-critical rendering: we deal with large datasets, deep trees, and users who notice when things are slow
Backend Platform Engineer
ClearlyRatedClearlyRated® helps business service providers harness the client experience for growth.
• Real systems that enterprise clients depend on. Not greenfield experiments, but a world class brand new platform with production code that has to be correct, observable, and resilient: • Integration layer that ingests structured data from enterprise sources (Snowflake, BigQuery, SQL databases) and routes it through our platform • A Snowflake-to-BigQuery bridge over ODBC: custom infrastructure work that will serve as the pattern for all future enterprise integrations • Webhook-triggered survey automation engine. Business events in the client’s system translate into survey sends through a reliable, auditable event pipeline • REST APIs consumed by our frontend, enterprise integrations, and third-party clients — you’ll design contracts that have to last • Event-driven microservices on GCP Pub/Sub and Kafka — async processing, backpressure handling, dead-letter queues, the full picture • Security and SSO integration for enterprise clients with complex credential and access models • Permission and access control systems that reflect matrix organizational hierarchies — the authorization layer is genuinely interesting here