Senior Principal Software Engineer/Architect

Seasoned architectural leader: ~12+ years engineering experience, with substantial time leading architecture for large SaaS products and proven individual technical leadership at scale (or equivalent). SaaS & multi-tenant expertise: Hands-on experience designing and operating multi-tenant, API-first SaaS systems supporting large numbers of customers and multiple operational tiers. AI in production: Demonstrated experience integrating AI/ML (including LLM/generative features) into production products — defining serving topologies, MLOps, monitoring and governance. M&A technical experience: Direct involvement in technical due diligence and post-close technical integration for acquisitions, including data migration, security and compliance assessments. Cloud & platform expertise: Deep knowledge of public cloud architectures (AWS/GCP/Azure), container orchestration, API design, eventing/streaming and data platform patterns (ETL/ELT, feature stores, data contracts). Operational rigor & security: Strong background in SRE practices, observability (metrics/logs/traces), capacity planning and secure architecture for customer data. Communicator & influencer: Proven ability to influence senior leaders and cross-functional stakeholders; exceptional documentation and architecture decision skills. Education/credentials: Advanced degree (MS/PhD) preferred but not required if experience demonstrates equivalent technical stature. Prior Senior Principal Engineer/Architect experience (or equivalent senior technical role). Track record of public speaking, patents, or publications in scalable systems or AI in production. Experience with cost-efficient inference strategies, responsible AI tooling (bias testing, explainability), and model lifecycle management. Experience with SMB/mid-market customer operations and the commercial constraints that shape product design. Experience in regulated industries or privacy-sensitive product engineering. A strategic, hands-on IC: you will both set direction and deliver/ship technically complex, risky work. Expect heavy cross-functional collaboration: Product, Data Science, Security, SRE, Professional Services and Sales will be regular partners. Significant time will be spent on executive-level planning, high-stakes M&A technical reviews, and technical onboarding of acquired assets. Expected to be a strong mentor for P5/P6's within the organization. Be highly accountable for how the software runs in Production and takes ownership of ensuring customer success.