Sr. Principal -Stack Engineer, Analytics

About Highspot

Highspot is pioneering the category that is fundamentally changing the way companies increase sales productivity. On a mission to transform the way millions of people work with sales enablement, Highspot is committed to building breakthrough software with a spark of magic. We believe a great place to work is about more than the work – it’s about what the company stands for, and how it authentically represents its values in the real world.

To this end, we have put intentional focus on creating equitable work spaces for each of our employees. Our goal is to create a culture where everyone feels a deep sense of belonging and is empowered to be an agent of change, with the ability to transform themselves, their workplace, and their world.

We’re looking for a Principal Engineer to lead Highspot’s Analytics Platform capability within our Data & Analytics Pillar
. This role is responsible for our in-app analytics experience
, empowering customers with real-time insights into their go-to-market performance. As a key technical leader, you will shape the architecture, scalability, and long-term vision of our custom-built data visualization & reporting framework
. You will drive frontend and backend innovations
, evolving our Typescript/React-based framework to provide robust, composable analytics components, while also ensuring query performance in our In-Memory OLAP database and scalability of our backend API and transpiler
. Partnering across teams, you will enhance system reliability, drive best practices, and mentor engineers in building high-performance, interactive analytics experiences that enable our customers to make data-driven decisions with confidence.

• Architect and Scale the Analytics Platform – Design and evolve the key parts of our system including database/query optimizations, backend scalability, and frontend framework improvements to support self-serve analytics and real-time insights.
• Lead Frontend and Backend Analytics Excellence – Ensure the Analytics Platform provides a scalable, efficient, and well-governed foundation for serving analytical queries and reports while advancing the frontend component architecture to support interactive analytics experiences.
• Own End-to-End Analytics Flow – Guide the transformation, querying, and visualization of analytics data, optimizing for performance, usability, and seamless integration across backend and frontend systems.
• Evolve Role-Based Access Control (RBAC) for Data Governance – Enhance our RBAC framework to ensure the right people have access to the data they need while maintaining security, compliance, and performance across the Analytics Platform.
• Enable Advanced Visualization & Reporting – Partner with Product and Engineering teams to evolve and optimize our ad-hoc data visualization and reporting framework, ensuring robust composable components with efficient state management and interaction logic.
• Drive Best Practices and Technical Standards – Establish and evangelize patterns for query optimization, schema evolution, frontend component reusability, and analytics-driven UI design.
• Lead and Mentor – Act as a technical leader and mentor for engineers across the team, providing deep technical guidance on analytics, query performance, frontend development, and reporting challenges.
• Cross-Team Collaboration – Partner with engineering teams across product, backend, frontend, Data-Platform and AI/ML to ensure a seamless, high-performing analytics experience.
• Operational Excellence – Define and drive SLA, availability, and performance objectives, ensuring the Analytics Platform meets the needs of our Analytics and Insights vision.

• Proven Experience – 10+ years in software engineering with deep experience in analytics platforms, query engines, OLAP databases, and frontend analytics frameworks.
• Expertise in Analytics & Query Processing – Strong hands-on knowledge of OLAP databases, query transpilation, analytics frameworks, and frontend-driven analytics experiences.
• Expertise in Frontend Analytics & Component Architecture – Experience designing and developing reusable, performant, and scalable frontend…