Attentive

HQ
New York
Total Offices: 2
1,000 Total Employees
Year Founded: 2016

Attentive Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers life insurance

Offers accidental death & dismemberment insurance

Offers disability insurance

Offers supplemental life insurance

Offers company equity

Offers employee discounts

Offers dental insurance

Offers health insurance

Offers Health Savings Account (HSA)

Offers Flexible Spending Account (FSA)

Offers vision insurance

Provides family medical leave

Provides fertility benefits

Offers generous parental leave

Work-Life Balance + Wellbeing

Offers company-sponsored outings

Offers gym membership

Offers an Employee Assistance Program (EAP)

Offers generous PTO

Provides paid sick days

Provides paid holidays

Provides bereavement leave

Career Growth + Development

Provides customized development tracks

Company Culture

Offers a remote work program

Provides free snacks and drinks

Provides a mobile phone discount

Offers diversity-based Employee Resource Groups

Recently posted jobs

12 Days AgoSaved
In-Office
New York, NY, USA
Artificial Intelligence • Marketing Tech • Mobile • Software
Lead strategy and execution for Attentive’s autonomous AI marketing agent. Define its product thesis, roadmap, customer value, evaluation framework, and operating loop while partnering with engineering, AI/ML, data science, design, GTM, executives, and customers. Own product outcomes and co-own revenue, ensuring the system is reliable, measurable, trustworthy, and scalable for enterprise brands.
20 Days AgoSaved
In-Office
New York, NY, USA
Artificial Intelligence • Marketing Tech • Mobile • Software
Build, scale, and operate production-grade machine learning systems supporting real-time personalization. The role involves developing scalable data analysis and model-development processes, validating and implementing models, protecting system quality through testing, collaborating cross-functionally, and leading machine learning initiatives. The engineer will work extensively with Python, modern ML frameworks, large-scale data systems, and AWS-based infrastructure while providing technical leadership.
24 Days AgoSaved
In-Office
New York, NY, USA
Artificial Intelligence • Marketing Tech • Mobile • Software
Build, scale, and operate production-grade machine learning systems powering real-time personalization. Develop and validate models, scalable data-analysis processes, and automated ML workflows using modern frameworks and large-scale data. Lead cross-functional ML initiatives, improve system quality, prevent regressions through testing, and collaborate with Product and Engineering to deliver data-driven products.