Senior Software Engineer

Demandbase • Seattle, WA

23h • Remote

About The Position

Demandbase is the only pipeline AI platform that empowers GTM teams to automate growth at scale. With a unified view of data, insights, actions, and outcomes, B2B enterprises can seamlessly align and execute their account-based GTM strategies with confidence. Thousands of businesses trust Demandbase to maximize revenue, minimize waste, and consolidate their data and tech stacks – all in one platform. As a company, we’re as committed to growing careers as we are to building world-class technology. We invest heavily in people, our culture, and the community around us. We have also continuously been recognized as One of The Best Places To Work in the San Francisco Bay Area by Fortune, and One of The 60 Best Companies To Sell For by Selling Power. Our offices are located in San Francisco, New York, Austin, Seattle, India, and the United Kingdom.

Requirements

• Bachelor’s or foreign equivalent in Computer Engineering, Information Systems and Technologies, or related field (e.g. Applied Mathematics)
• 5 years of progressive experience in job offered or related occupation.
• At least 1 year of prior work experience in Scala, Java, Python.
• At least 1 year of prior work experience in Applied ML.
• At least 1 year of prior work experience in Applied Generative AI.
• At least 1 year of prior work experience in BigData: Spark, Hadoop, EMR.
• At least 1 year of prior work experience in Databases: Iceberg, DynamoDB, PostgreSQL.
• At least 1 year of prior work experience in Infra: Docker, Linux, AWS, Airflow, Terraform.
• Experience must be progressively responsible

Responsibilities

• Design and implement scalable backend systems, focusing on performance, resilience, and maintainability.
• Build and optimize data pipelines using Apache Spark and SQL to efficiently process large volumes of data.
• Collaborate with data scientists to develop, refine, and deploy machine learning models in production environments.
• Apply mathematical concepts such as statistical analysis, linear algebra, and optimization techniques to design algorithms, enhance data models, and evaluate system performance.
• Work across multiple languages, including Scala, Python, and Java, to implement data-centric and AI-driven features.
• Partner with cross-functional teams, including product managers and data scientists, to build innovative and impactful software solutions.
• Participate in system architecture design, code reviews, mentoring, and continuous improvement of engineering practices.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 101-250 employees