Attentive

About Attentive

Personalized SMS marketing for eCommerce success

🏢 Tech👥 1001+ employees📅 Founded 2016📍 Flatiron District, New York, NY💰 $863m3.4
B2BMarketingCommunicationSaaSMobileAdvertisingeCommerce

Key Highlights

  • Raised $863M in funding across multiple rounds
  • Headquartered in Flatiron District, New York, NY
  • Over 1,000 employees driving innovation in mobile marketing
  • Expanding into international markets including the UK and Australia

Attentive is a leading eCommerce SMS marketing platform headquartered in the Flatiron District of New York, NY. With over 1,000 employees, Attentive has raised $863 million in funding through multiple rounds, including a Series D round, and serves a diverse clientele by enabling brands to create per...

🎁 Benefits

Attentive offers a competitive benefits package that includes a 401(k) plan with a company match up to $1,500 annually, equity for all employees, and ...

🌟 Culture

Attentive fosters a culture focused on innovation and data-driven strategies, enabling brands to thrive in the evolving eCommerce landscape. The compa...

Attentive

Machine Learning Engineer Lead

AttentiveSan Francisco

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Overview

Attentive is hiring a Staff Machine Learning Engineer, Team Lead to develop advanced ML models for personalized customer experiences. You'll work with Python, TensorFlow, and Keras in a high-performance culture. This position requires strong leadership and machine learning expertise.

Job Description

Who you are

You have a strong background in machine learning engineering with experience in developing and deploying advanced ML models. Your expertise in Python and frameworks like TensorFlow and Keras allows you to build robust solutions that enhance customer experiences. You thrive in collaborative environments, working closely with product management and engineering teams to implement end-to-end modeling use cases. Your leadership skills enable you to guide and mentor junior engineers, fostering a culture of innovation and excellence.

You are self-driven and highly motivated, always seeking to improve processes and outcomes. Your analytical mindset helps you understand complex customer behaviors and translate them into actionable insights. You are comfortable working in a fast-paced environment and are eager to contribute to a high-growth company that values creativity and technical expertise.

What you'll do

As a Staff Machine Learning Engineer, you will lead the development of machine learning models that power personalized experiences for hundreds of millions of customers. You will collaborate with cross-functional teams to define project goals and deliver high-quality solutions that meet customer needs. Your role will involve designing and implementing scalable ML infrastructure, ensuring that models are efficient and effective in predicting customer behaviors in real-time.

You will also be responsible for mentoring and guiding junior engineers, helping them grow their skills and contribute to the team's success. Your leadership will be crucial in driving the team's performance and fostering a culture of continuous improvement. You will participate in code reviews, provide constructive feedback, and ensure best practices are followed in model development and deployment.

In addition to technical responsibilities, you will engage with stakeholders to understand their needs and translate them into technical requirements. You will analyze data to identify trends and insights that can inform product decisions and enhance customer engagement. Your contributions will directly impact the company's ability to deliver personalized marketing solutions that drive performance and loyalty.

What we offer

Attentive offers a dynamic work environment where innovation and collaboration are at the forefront. You will have the opportunity to work with some of the most talented machine learning engineers in the industry, contributing to projects that have a significant impact on customer experiences. We provide competitive compensation and benefits, along with opportunities for professional growth and development. Join us in redefining the way brands connect with their customers through AI-powered personalization.

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