Clari uses AI and automation to drive growth and retention for high-performing revenue teams. Clari’s market-leading Revenue Operations Platform is currently processing over $300 billion in pipeline each year, and is used by over 100,000 marketing, sales, and customer success professionals across 170 countries. Customers include market leaders like Adobe, Zoom, Qualtrics, UiPath, Okta, and Workday. We constantly hear from our customers that Clari is required equipment, and that we’ve changed their lives and the trajectory of their businesses. It never gets old, and we never take it for granted. Together, we help others realize their fullest potential by transforming their revenue operations to be connected, efficient, and predictable.

We are looking for experienced engineers who are passionate about building complicated computational and data pipelines for large-scale repositories. You’ll work with truly remarkable colleagues on complex problems at enterprise scale, quality, and reliability. You’ll build a state-of-the-art machine learning (ML) platform and data pipeline feeding time series data to build AI models. You’ll work closely with various stakeholders within the company to design and build the platform that powers our best-in-class enterprise product suite. The products you build will be used by many of the most well known companies in the world. Don’t believe us? Hear what our customers have to say 

 

Come join the fluid, dynamic and growing team to learn, teach, and make a measurable impact every day. 

 

Responsibilities

• Design and build the next generation of ML architecture that will power large-scale data science projects
• Manage and enhance the current ML platform that trains and deploys Clari’s AI models
• Design and develop the next generation data pipeline architecture for powering all of Clari’s AI models
• Learn and contribute to all aspects of the data science platform
• Write scalable, robust, and fully-tested software for deployment in mission-critical production environments
• Own modules of the Data and ML pipelines that you work in
• Become an industry expert in ML platform building architectures

Qualifications

• 6+ years of development experience using Java or similar object-oriented languages for server-side development
• Experience in maintaining scalable data and processing pipelines in a production environment, with robustness, maintainability, observability
• Experience with AWS environment – deployment into EKS, resource lifecycle policies, infrastructure as code, serverless architecture
• Knowledge of SQL (e.g. Postgres, MySQL) and NoSQL databases (e.g. MongoDB)
• Experience delivering successful software projects from inception through deployment
• Strong problem-solving skills and expertise in data structures and algorithms
• A passion for answering questions by analyzing data
• Experience building ML and data pipeline architectures is a plus
• Knowledge of Python and familiarity with frameworks such as TensorFlow, PyTorch, Keras is a plus
• Knowledge of Scala is a plus
• Background in AI, Machine Learning, and Data Science is a plus
• A proven track record of developing applications that are deployed in production and widely used by customers is a plus
• Experience managing the model lifecycle with tools like SageMaker or MLflow is a plus

Benefits and Culture

• Team-bonding activities and company-wide events
• Flexible working hours and remote opportunities
• Internet, phone, and wellness reimbursements
• Paid maternity and paternity leave
• Fertility support
• 401(k) and college savings plan
• Pre-IPO stock options

You’ll often hear our CEO talk about “Being Remarkable.” To Clari, remarkable means many things. First and foremost, we believe in providing work that’s interesting and meaningful, in an environment that’s nurturing and inclusive, that is free from discrimination for each and every team member without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, or veteran status. Efforts have to be recognized. Voices have to be heard. And work/life balance has to be baked into the very fiber of the company. We are honored to be recognized by Inc. Magazine and Bay Area News Group as a best place to work, several years running. We’d love to have you join us on our journey to remarkable!