Engineering Manager, Machine Learning

Attentive® is the AI-powered mobile marketing platform transforming the way brands personalize consumer engagement. Attentive enables marketers to craft tailored journeys for every subscriber, driving higher recurring revenue and maximizing campaign performance. Activating real-time data from multiple channels and advanced AI, the platform personalizes content, tone, and timing to deliver 1:1 messages that truly resonate.

With a top-rated customer success team recognized on G2, Attentive partners with marketers to provide strategic guidance and optimize SMS and email campaigns. Trusted by leading global brands like Neiman Marcus, Samsung, Wayfair, and Dyson, Attentive ensures enterprise-grade compliance and deliverability, supporting trillions of interactions across more than 70 industries. To learn more or request a demo, visit www.attentive.com or follow us on LinkedIn, X (formerly Twitter), or Instagram.

Attentive’s growth has been recognized by Deloitte’s Fast 500, Linkedin’s Top Startups and Forbes Cloud 100 all thanks to the hard work from our global employees!

About the Role

Our Engineering team creates innovative product experiences that power personalized marketing at massive scale. We develop cutting-edge applications and systems that process hundreds of billions of messages and events per year, enabling marketers to connect effectively with hundreds of millions of consumers. Joining our team offers a high-growth career opportunity to work with some of the world’s most talented engineers in a high-performance and high-impact culture.

As an Engineering Manager in our Machine Learning org, you will lead a team of machine learning engineers in developing and enhancing our marketing platform by leveraging data, insights, and developing machine learning models. You will guide the technical direction of projects, foster a culture of collaboration, and ensure the successful delivery of high-quality software. This is a hands-on leadership role where you will balance people management, technical oversight, and cross-functional collaboration with product managers, data scientists, and other engineering teams.

What You'll Accomplish

• Lead a team of machine learning engineers in designing, developing, and deploying scalable machine learning systems that power our AI-driven customer engagement products
• Collaborate with product management to plan, define, and scope the end-to-end development of production models that align with business goals
• Provide technical guidance and architectural direction, ensuring best practices in system design, data processing, and machine learning integration
• Foster a strong engineering culture by mentoring and developing team members, driving continuous improvement in code quality, and advocating for best practices
• Ensure the reliability, performance, and maintainability of our applications, enabling the delivery of billions of messages daily
• Collaborate with other engineering leaders to shape the technical roadmap and improve our engineering processes

Your Expertise

• 7+ years of professional experience in machine learning, with at least 3 years in a leadership role with at least 4-8 reports
• Experience leading teams that build and deploy machine learning-driven products
• Strong proficiency in Python and requisite libraries (data analysis, plotting, modeling, etc.) including expertise in designing and maintaining scalable, high-performance machine learning systems
• Excellent coaching, mentorship, and leadership skills, with a track record of growing and developing machine learning engineers
• Ability to translate business needs into clearly scoped projects and technical solutions
• Strong understanding of software engineering best practices, including code reviews, testing, CI/CD, and monitoring

What We Use

• Our infrastructure runs primarily in Kubernetes hosted in AWS’s EKS
• Infrastructure tooling includes Istio, Datadog, Terraform, CloudFlare, and Helm
• Our backend is Java / Spring Boot microservices, built with Gradle, coupled with things like DynamoDB, Kinesis, AirFlow, Postgres, Planetscale, and Redis, hosted via AWS
• Our frontend is built with React and TypeScript, and uses best practices like GraphQL, Storybook, Radix UI, Vite, esbuild, and PlaywrightOur automation is driven by custom and open source machine learning models, lots of data and built with Python, Metaflow, HuggingFace 🤗, PyTorch, TensorFlow, and Pandas

You'll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work.

For US based applicants:

- The US base salary range for this full-time position is $225,000 - $310,000 annually + equity + benefits

- Equity is a substantial part of the total compensation package

- Our salary ranges are determined by role, level and location

#LI-SM1

Attentive Company Values

Default to Action - Move swiftly and with purpose

Be One Unstoppable Team - Rally as each other’s champions

Champion the Customer - Our success is defined by our customers' success

Act Like an Owner - Take responsibility for Attentive’s success

Learn more about AWAKE, Attentive’s collective of employee resource groups.

If you do not meet all the requirements listed here, we still encourage you to apply! No job description is perfect, and we may also have another opportunity that closely matches your skills and experience.

At Attentive, we know that our Company's strength lies in the diversity of our employees. Attentive is an Equal Opportunity Employer and we welcome applicants from all backgrounds. Our policy is to provide equal employment opportunities for all employees, applicants and covered individuals regardless of protected characteristics. We prioritize and maintain a fair, inclusive and equitable workplace free from discrimination, harassment, and retaliation. Attentive is also committed to providing reasonable accommodations for candidates with disabilities. If you need any assistance or reasonable accommodations, please let your recruiter know.