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We are looking for a Principal Engineering Manager, Core Platform & AI Systems to lead one of the most critical engineering groups at Highspot. This team is responsible for building and scaling the core foundational systems that power the Highspot SaaS platform, including our storage systems, job orchestration frameworks, and AI/ML infrastructure. As a Principal Engineering Manager, you will play a key role in driving Highspot’s long-term technology vision and platform strategy, while also ensuring day-to-day operational excellence. You will lead a team of highly skilled engineers, provide technical direction, collaborate across product and infrastructure organizations, and ensure that our core platform can meet the growing scale and intelligence needs of our customers.
Job Responsibility:
Lead and grow the Core Platform & AI Systems team
Drive the technical roadmap for the platform, ensuring scalability, performance, availability, and cost-efficiency
Partner closely with product engineering teams to deliver platform capabilities that unlock business features while simplifying the developer experience
Collaborate with Data Science, ML, and AI teams to provide robust ML Ops and AI infrastructure that enables rapid experimentation and production-grade AI deployments
Own platform-wide reliability and operational health, continuously investing in observability, incident management, and system resilience
Contribute to architectural decisions that shape the long-term direction of Highspot’s SaaS platform
Attract, retain, and develop top engineering talent, building a high-performing and inclusive team culture
Communicate effectively with senior leadership, providing visibility into roadmap progress, technical trade-offs, and organizational needs
Requirements:
10+ years of software engineering experience with 4+ years in engineering leadership roles
Experience managing senior/principal engineers, ideally across multiple functional areas
Strong technical background in cloud-native distributed systems, platform engineering, or AI/ML infrastructure
Proven track record of scaling SaaS platforms and leading teams responsible for mission-critical backend systems
Experience working closely with cross-functional teams such as Product, Infrastructure, AI/ML, and Security
Deep understanding of reliability, operational excellence, and cost optimization in cloud environments (AWS, Azure, GCP)
Excellent communication, collaboration, and executive stakeholder management skills
Passion for developing people and building strong, healthy engineering teams
Nice to have:
Experience with modern ML Ops platforms and serving frameworks
Experience in developer platforms or internal tooling teams
Experience in high-scale SaaS environments with large enterprise customer bases
What we offer:
Comprehensive medical, dental, vision, disability, and life benefits
Health Savings Account (HSA) with employer contribution
401(k) Matching with immediate vesting on employer match
Flexible PTO
8 paid holidays and 5 paid days for Annual Holiday Week
Quarterly Recharge Fridays (paid days off for mental health recharge)
18 weeks paid parental leave
Access to Coaches and Therapists through Modern Health