Senior Platform Engineer, Machine Learning
Fieldguide- Full Time
- Senior (5 to 8 years), Mid-level (3 to 4 years)
Candidates must have at least 8 years of experience as a professional software developer and 4 years as an engineering manager. A minimum of 2 years of experience in machine learning-related areas is required, along with a strong understanding of machine learning design patterns and best practices. Experience in deploying machine learning models into distributed, data-intensive production systems is essential.
The Senior Director of Engineering will coordinate with the data science team and product and engineering leadership to identify the needs of machine learning work. They will build and scale the machine learning team, lead the production of ML models with a focus on scalability and reliability, and continuously improve existing ML models. The director will also build data pipelines for model training, create a labeling system for supervised training, contribute to product ideation, and communicate complex concepts effectively to various audiences.
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.