Engineering Lead

Overview

Engineering Lead, Artificial Intelligence Group

Engineering Lead, Predictive AI

We’re looking to add an Engineering Lead to our Predictive AI team. This person will be hands-on and close to the code while also having the opportunity to grow successful direct reports, and run productive teams. The Engineering Lead oversees a small family of teams and provides technical, product, and team level leadership to those teams.

This Predictive AI team works collaboratively to develop and maintain predictive machine learning models and experiences that help to identify potential customers, analyze behavior and trends, and recommend steps that lead to conversions. The team is composed of data scientists, engineers, product managers and designers who work together to develop ML powered product solutions to help our customers identify and target potential customers.  The team also collaborates with ML infrastructure and tools to ensure that customer data is accurately collected, stored, and processed in order to inform decisions and strategies. The team is constantly researching and developing new solutions to stay ahead of the competition and create the best possible customer experience.

Key Expectations for Engineering Leads:

• Engineering Leads are actively involved as a player-coach in building software and making products to solve customer problems. They are curious and involved in the technology as well as the people on their teams.
• They have a strong technical vision for how to implement the product vision. This can include working with teams they oversee and external teams to ensure that we are solving problems the best way for customers.
• They think about and implement ideas to push teams to improve technically.
• They work effectively across Product Managers, Data Scientists and Designers to cultivate a strong product vision for their teams, and are responsible for the mission, direction, and alignment.
• They are responsible for the engineers on their team and provide mentoring, coaching, and feedback to help them grow and succeed in their role.
• They create and foster diverse teams and an inclusive culture.

We’re looking for:

• A strong backend engineer with experience leading small teams
• Background or interest in developing services using Java
• Background or interest in learning Machine Learning concepts and ML Model lifecycle
• Have a customer-centric attitude and develop opinions about the HubSpot product

If you’re an engineering leader of any level or experience, and if this resonates with you, let’s talk.

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Cash compensation range: 180000-270000 USD Annually

This resource will help guide how we recommend thinking about the range you see. Learn more about HubSpot’s compensation philosophy from Katie Burke, HubSpot’s Chief People Officer.

The cash compensation above includes base salary, on-target commission for employees in eligible roles, and annual bonus targets under HubSpot’s bonus plan for eligible roles. In addition to cash compensation, all HubSpotters are eligible to participate in HubSpot’s equity plan to receive restricted stock units (RSUs). Some roles may also be eligible for overtime pay. Individual compensation packages are based on a few different factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons.

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