Principal Software Engineer

Typeface•Bellevue, WA

11d•$247,500 - $267,000•Hybrid

About The Position

We help the world’s biggest brands move from brief to fully personalized campaigns — in days, not months. Founded by Abhay Parasnis and backed by Microsoft, GV, Salesforce, Lightspeed, Madrona and Menlo, we’re building category-defining technology at the intersection of creativity and AI with real impact. Join us to help shape the future of enterprise marketing. As a Principal Engineer, you will: Solve complex architectural challenges to harness the power of LLMs and multimodal AI for scalable, enterprise-grade content generation. Lead cross-functional technical initiatives spanning multiple teams and product areas. Partner with enterprise customers to deeply understand their challenges and translate them into robust, high-impact solutions. Mentor and guide engineers across the organization, raising the bar for technical excellence. Advocate for best-in-class engineering practices, ensuring security, scalability, and maintainability across the platform. How You'll Make an Impact Architectural Leadership: Define and evolve the architecture for AI-driven, multimodal content personalization. Evaluate and integrate cutting-edge AI technologies, optimizing for cost, latency, and output quality. Cross-Company Impact: Spearhead engineering initiatives that address critical business priorities. Translate complex enterprise customer requirements into practical, scalable solutions. Mentorship & Advocacy: Coach engineers in AI/ML systems, distributed architectures, and multimodal generation pipelines. Champion engineering best practices — from code quality to CI/CD, observability, and security. Execution Excellence: Contribute hands-on to code and design when needed. Ensure solutions meet enterprise-grade standards for security, reliability, and compliance.

Requirements

10+ years in software engineering, with at least 3+ years in a principal/staff-level IC role.
Proven experience architecting distributed systems, AI/ML platforms, or large-scale SaaS applications.
Strong background in cloud-native architecture (AWS, GCP, Azure), containerization (Docker, Kubernetes), and modern API design.
Track record of influencing technical direction across multiple teams.
Excellent communication skills for both technical and non-technical stakeholders.
Expertise in LLMs (prompt engineering, fine-tuning, inference) and multimodal AI (text, image, video, audio)

Responsibilities

Solve complex architectural challenges to harness the power of LLMs and multimodal AI for scalable, enterprise-grade content generation.
Lead cross-functional technical initiatives spanning multiple teams and product areas.
Partner with enterprise customers to deeply understand their challenges and translate them into robust, high-impact solutions.
Mentor and guide engineers across the organization, raising the bar for technical excellence.
Advocate for best-in-class engineering practices, ensuring security, scalability, and maintainability across the platform.
Define and evolve the architecture for AI-driven, multimodal content personalization.
Evaluate and integrate cutting-edge AI technologies, optimizing for cost, latency, and output quality.
Spearhead engineering initiatives that address critical business priorities.
Translate complex enterprise customer requirements into practical, scalable solutions.
Coach engineers in AI/ML systems, distributed architectures, and multimodal generation pipelines.
Champion engineering best practices — from code quality to CI/CD, observability, and security.
Contribute hands-on to code and design when needed.
Ensure solutions meet enterprise-grade standards for security, reliability, and compliance.