Product Engineer - Product Analytics
PostHog- Full Time
- Junior (1 to 2 years)
Candidates should possess significant experience in backend engineering with a strong focus on data analytics platforms. Proficiency in Typescript and React is essential, along with expertise in database optimization and API scalability. A background in building interactive analytics experiences and familiarity with Role-Based Access Control (RBAC) for data governance is also required.
The Principal Backend Engineer will architect and scale the Analytics Platform by designing database/query optimizations and enhancing backend scalability. They will lead the development of both frontend and backend analytics, ensuring the platform supports efficient analytical queries and reports. The role involves owning the end-to-end analytics flow, optimizing performance and usability, and evolving the RBAC framework for data governance. Additionally, the engineer will collaborate with product and engineering teams to enhance the data visualization and reporting framework.
AI-powered sales enablement platform
Highspot provides a sales enablement platform that helps sales teams improve their productivity and efficiency. Its main product, Highspot Copilot, is an AI-powered digital assistant that delivers the right content to sales representatives at the right time, enhancing their ability to engage and convert potential buyers. The platform supports sales teams by managing sales content, preparing reps for different selling scenarios, and facilitating personalized interactions through digital sales rooms. Highspot also includes features for onboarding and training sales reps, ensuring they are well-prepared for real-world situations. Unlike many competitors, Highspot focuses on driving measurable outcomes such as increased win rates and reduced ramp time for sales reps. The goal of Highspot is to empower sales teams to close deals more effectively and generate higher revenue.