Job Description

Senior Fullstack Engineer, AI

• Title of Role: Senior Fullstack Engineer, AI
• Location: San Francisco, CA, remote
• Company Stage of Funding: Series C — Software Development
• Office Type: Remote
• Salary: [To be confirmed with final candidates]

We're representing a leading customer data platform that empowers businesses to unlock the full potential of their existing data infrastructure. By enabling seamless synchronization between data warehouses and essential organizational tools, our client helps companies leverage their data effectively, resulting in faster, more personalized marketing and improved operational efficiency.

What You Will Do

• Design, build, and maintain full stack features that enhance AI-driven decision-making capabilities within the platform.
• Collaborate closely with product, design, and data engineering teams to translate complex requirements into intuitive, scalable user experiences.
• Contribute to the architecture and evolution of systems that process and act on large volumes of customer data in real time.
• Develop and iterate on frontend interfaces that make sophisticated AI functionality accessible to non-technical users.
• Build robust backend services and APIs that integrate with data warehouses and downstream marketing and operational tools.
• Participate in code reviews and technical discussions, fostering a culture of engineering excellence.
• Identify and resolve performance bottlenecks, scalability challenges, and reliability issues across the stack.

Ideal Candidate Background

• Proven experience as a full stack engineer, demonstrating strong skills in both frontend and backend development.
• Comfortable working across the entire stack, from database queries to polished user interfaces.
• Experience building and integrating APIs and services that interact with large-scale data systems.
• Strong understanding of software design principles, scalability considerations, and production engineering practices.
• Ability to thrive in a remote-first, fast-paced environment with a high degree of autonomy.

Preferred

• Experience working on AI, machine learning, or data-intensive product features.
• Familiarity with data warehouse technologies such as Snowflake, BigQuery, or Redshift.
• Background in building platforms or tools for marketing technology, data integration, or analytics.

Compensation and Benefits

Our client offers a competitive salary and a comprehensive benefits package, designed to support your well-being and professional growth.