Attentive is the AI marketing platform for 1:1 personalization redefining the way brands and people connect. Were the only marketing platform that combines powerful technology with human expertise to build authentic customer relationships. By unifying SMS RCS email and push notifications our AI-powered personalization engine delivers bespoke experiences that drive performance revenue and loyalty through real-time behavioral insights.
Recognized as the#1provider in SMS Marketing by G2 Attentive partners with more than 8000 customers across 70 industries. Leading global brands like Crate and Barrel Urban Outfitters and Carters work with us to enable billions of interactions that power tens of billions in revenue for our customers.
About the Role
Were seeking an accomplished Staff Software Engineer to join Attentives Machine Learning Platform team as a high-impact individual contributor focused on building the AI and ML infrastructure that powers our AI product suite. Youll architect and build the foundational platform components that enable AI / ML engineers and data scientists to train deploy and serve models and agentic infrastructure with velocity performance and reliability at scale.
As a Staff-level IC youll operate as a technical force multiplier setting the technical direction for AI and ML infrastructure across Attentives AI organization. Youll lead through influence and technical excellence advocating for long-term architectural progress while balancing immediate platform needs. Your work will span strategic initiatives measured in quarters and years focusing on high-leverage decisions that enable entire teams to ship AI and ML capabilities faster and more reliably.
Strategic Need
Attentive is revolutionizing the digital shopping experience across every channel through our AI product suite for half a billion subscribers. Were looking for a high impact individual to take our platform from v1 to vNext and beyond supporting the full spectrum of AI and ML workloads at massive scale. We support traditional models and deep learning today and we are growing into reinforcement learning and agentic infrastructure quickly. This is a ground-floor opportunity to drive and influence the architectural roadmap for Attentives entire AI and ML ecosystem toward self-service workflows real-time inference at scale agentic capabilities and robust model lifecycle management.
What Youll Accomplish
- Setting Technical Direction - Architect ML platform strategy spanning data pipelines training infrastructure and serving layers using cutting-edge tooling like Ray MLFlow Metaflow Argo and Spark
- Uplevel and Innovate Core AI & ML Stack - Build and operate production-grade low-latency ML serving layers with robust model lifecycle systems including champion/challenger testing automated rollouts versioning and rollback capabilities
- Uplevel and Innovate Core AI & ML Stack - Define and drive Attentives agentic stack
- Technical Leadership - Provide ML infrastructure perspective in high-level discussions about Attentives AI strategy spanning multiple quarters and teams
- Technical Mentorship - Mentor platform and ML engineers actively championing team members
- Being the Glue - Build universal interfaces architectures and patternslike data access layers and prediction serving APIsthat bridge platform capabilities with product needs to streamline high-priority ML work across the organization
Your Expertise
- You have the experience to know what works what doesnt and why in AI and ML systems
- 5 years focused specifically on ML Platform/MLOps with deep understanding of gold-standard practices and best-in-class tooling
- Proven track record of owning and building core components of ML platforms using tools like Spark Ray MLFlow Kubeflow or Metaflow
- Youve built and operated a high-throughput agentic stack (MCP / data infrastructure context store orchestration and prompt layer)
- Strong expertise in Python for both batch processing and online service frameworks
- Experience designing and operating online and offline inference systems understanding the critical differences and tradeoffs between them
Sample Projects
- Design and implement inference pipelines with champion/challenger shadow testing and automated model promotion
- Lead and scale Attentives agentic stack from the ground up
- Scale real-time feature streaming to handle low-latency high-volume reinforcement learning workloads
- Build a universal data access layer and prediction serving interface that powers ML capabilities across Attentives product suite
For US based applicants:
- The US base salary range for this full-time position is $215000 - $270000 annually equity benefits
- Our salary ranges are determined by role level and location
#LI-MDK1
Attentive Company Values
Default to Action - Move swiftly and with purpose
Be One Unstoppable Team - Rally as each others champions
Champion the Customer - Our success is defined by our customers success
Act Like an Owner- Take responsibility for Attentives success
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 Companys 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.
Required Experience:
Staff IC
Attentive is the AI marketing platform for 1:1 personalization redefining the way brands and people connect. Were the only marketing platform that combines powerful technology with human expertise to build authentic customer relationships. By unifying SMS RCS email and push notifications our AI-powe...
Attentive is the AI marketing platform for 1:1 personalization redefining the way brands and people connect. Were the only marketing platform that combines powerful technology with human expertise to build authentic customer relationships. By unifying SMS RCS email and push notifications our AI-powered personalization engine delivers bespoke experiences that drive performance revenue and loyalty through real-time behavioral insights.
Recognized as the#1provider in SMS Marketing by G2 Attentive partners with more than 8000 customers across 70 industries. Leading global brands like Crate and Barrel Urban Outfitters and Carters work with us to enable billions of interactions that power tens of billions in revenue for our customers.
About the Role
Were seeking an accomplished Staff Software Engineer to join Attentives Machine Learning Platform team as a high-impact individual contributor focused on building the AI and ML infrastructure that powers our AI product suite. Youll architect and build the foundational platform components that enable AI / ML engineers and data scientists to train deploy and serve models and agentic infrastructure with velocity performance and reliability at scale.
As a Staff-level IC youll operate as a technical force multiplier setting the technical direction for AI and ML infrastructure across Attentives AI organization. Youll lead through influence and technical excellence advocating for long-term architectural progress while balancing immediate platform needs. Your work will span strategic initiatives measured in quarters and years focusing on high-leverage decisions that enable entire teams to ship AI and ML capabilities faster and more reliably.
Strategic Need
Attentive is revolutionizing the digital shopping experience across every channel through our AI product suite for half a billion subscribers. Were looking for a high impact individual to take our platform from v1 to vNext and beyond supporting the full spectrum of AI and ML workloads at massive scale. We support traditional models and deep learning today and we are growing into reinforcement learning and agentic infrastructure quickly. This is a ground-floor opportunity to drive and influence the architectural roadmap for Attentives entire AI and ML ecosystem toward self-service workflows real-time inference at scale agentic capabilities and robust model lifecycle management.
What Youll Accomplish
- Setting Technical Direction - Architect ML platform strategy spanning data pipelines training infrastructure and serving layers using cutting-edge tooling like Ray MLFlow Metaflow Argo and Spark
- Uplevel and Innovate Core AI & ML Stack - Build and operate production-grade low-latency ML serving layers with robust model lifecycle systems including champion/challenger testing automated rollouts versioning and rollback capabilities
- Uplevel and Innovate Core AI & ML Stack - Define and drive Attentives agentic stack
- Technical Leadership - Provide ML infrastructure perspective in high-level discussions about Attentives AI strategy spanning multiple quarters and teams
- Technical Mentorship - Mentor platform and ML engineers actively championing team members
- Being the Glue - Build universal interfaces architectures and patternslike data access layers and prediction serving APIsthat bridge platform capabilities with product needs to streamline high-priority ML work across the organization
Your Expertise
- You have the experience to know what works what doesnt and why in AI and ML systems
- 5 years focused specifically on ML Platform/MLOps with deep understanding of gold-standard practices and best-in-class tooling
- Proven track record of owning and building core components of ML platforms using tools like Spark Ray MLFlow Kubeflow or Metaflow
- Youve built and operated a high-throughput agentic stack (MCP / data infrastructure context store orchestration and prompt layer)
- Strong expertise in Python for both batch processing and online service frameworks
- Experience designing and operating online and offline inference systems understanding the critical differences and tradeoffs between them
Sample Projects
- Design and implement inference pipelines with champion/challenger shadow testing and automated model promotion
- Lead and scale Attentives agentic stack from the ground up
- Scale real-time feature streaming to handle low-latency high-volume reinforcement learning workloads
- Build a universal data access layer and prediction serving interface that powers ML capabilities across Attentives product suite
For US based applicants:
- The US base salary range for this full-time position is $215000 - $270000 annually equity benefits
- Our salary ranges are determined by role level and location
#LI-MDK1
Attentive Company Values
Default to Action - Move swiftly and with purpose
Be One Unstoppable Team - Rally as each others champions
Champion the Customer - Our success is defined by our customers success
Act Like an Owner- Take responsibility for Attentives success
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 Companys 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.
Required Experience:
Staff IC
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