Senior Data Engineer

🕒 December 11, 2025

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Clarity (formerly Anecdote)

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2022

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

Artificial Intelligence • SaaS • Enterprise

Clarity is a SaaS company (formerly Anecdote) that provides enterprise-grade AI-powered customer service and voice-of-customer solutions. Their platform uses NLP and AI agents with built-in safety guardrails to deliver accurate, compliant answers at scale, unify feedback from chats, reviews and social channels, auto-resolve repeat issues, and surface product and support insights for teams. Clarity emphasizes security and compliance (SOC 2, GDPR, HIPAA) and human-in-the-loop controls to prevent hallucinations and keep automation aligned with company policy.

📋 Description

• Integrate and Scale: Extend, scale, monitor, and manage our ever-growing pile of 100s of integrations. Ensure they are reliable and responsive. • Own the Integrations: Implement new connections and be the master and owner of these integrations. • Optimize AI Pipelines: Ensure our AI pipeline works like clockwork. Improve and support its complex infrastructure. • ML Experience: Practical experience with ML, including classification, clustering, time series forecasting, and anomaly detection. You need to know the concept and be handly with the most common libraries. • Model Hosting and Monitoring: Host and monitor NLP models and LLM for real-time and batch inference. • Develop Monitoring Systems: Create and support robust models for monitoring. • Support and Innovate: Assist with a long tail of super important tasks, bringing innovative solutions to the table.

🎯 Requirements

• Python Proficiency: Strong Python skills with experience in building and monitoring production services or APIs. Experience with third-party APIs is essential. • Data Pipelining: Experience with SQL, ETL, data modeling. Experienced with the lifecycle of building ML solutions. • Speak AI language: Understand the fundamentals of ML/AI and communicate effectively with AI and Data Scientists. • Infra: Deep Knowledge of Docker, Git, cloud networking, and cloud security for services and infrastructure. Experience with Kubernetes (K8S) is a plus. • Cloud Expertise: Familiarity with AI infrastructure on AWS and GCP, including Sagemaker, Vertex, Triton, and GPU computing. • Bonus Points: Experience with Airbyte is a significant advantage.

🏖️ Benefits

• Fully Remote: Freedom to work from anywhere in the world with flexible core working hours. • In-person Meetups and Regular Team-building Remote Events: Enjoy in-person meetups and monthly game sessions for team bonding. • Generous Vacation: Benefit from our comprehensive vacation policy. • Growth Opportunities: Access continuous professional development and growth support. • Dynamic Culture: Be part of a vibrant, inclusive, and energetic company culture. • Stock Options: Participate in our stock options program in this early-stage, fast-growing startup.