Staff Software Engineer, ML Platform at Attentive

San Francisco, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Marketing TechnologyIndustries

Requirements

5+ years focused specifically on ML Platform/MLOps, with deep experience in AI and ML systems
Experience architecting ML platform strategy spanning data pipelines, training infrastructure, and serving layers using cutting-edge tooling like Ray, MLFlow, Metaflow, Argo, and Spark
Ability to 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
Expertise in defining and driving agentic stacks and infrastructure
Proven technical leadership to provide ML infrastructure perspective in high-level discussions about AI strategy spanning multiple quarters and teams
Strong technical mentorship skills for platform and ML engineers
Experience building universal interfaces, architectures, and patterns—like data access layers and prediction serving APIs—to bridge platform capabilities with product needs
Deep understanding of what works, what doesn’t, and why in AI and ML systems

Responsibilities

Set technical direction by architecting ML platform strategy spanning data pipelines, training infrastructure, and serving layers
Uplevel and innovate core AI & ML stack by building and operating production-grade, low-latency ML serving layers with robust model lifecycle systems
Define and drive Attentive’s agentic stack
Provide ML infrastructure perspective in high-level discussions about Attentive’s AI strategy spanning multiple quarters and teams
Mentor platform and ML engineers, actively championing team members
Build universal interfaces, architectures, and patterns—like data access layers and prediction serving APIs—that bridge platform capabilities with product needs to streamline high-priority ML work across the organization
Operate as a high-impact individual contributor and technical force multiplier, leading through influence and technical excellence
Balance long-term architectural progress with immediate platform needs to enable AI/ML engineers and data scientists to train, deploy, and serve models at scale

Skills

Key technologies and capabilities for this role

Machine LearningAI InfrastructureModel TrainingModel DeploymentScalable SystemsPlatform EngineeringDistributed SystemsAgentic AI

Questions & Answers

Common questions about this position

What is the employment type for this position?

This is a full-time position.

Is this role remote or does it require office work?

This information is not specified in the job description.

What skills and experience are required for this Staff Software Engineer role?

The role requires being an accomplished Staff-level individual contributor with expertise in architecting AI/ML infrastructure, including data pipelines, training infrastructure, serving layers, and tools like Ray, MLFlow, and Metaflow. Experience supporting traditional models, deep learning, reinforcement learning, and agentic infrastructure at scale is key.

What is the company culture like at Attentive?

Attentive fosters a high-impact environment with global employees driving rapid growth, recognized by Deloitte’s Fast 500, LinkedIn’s Top Startups, and Forbes Cloud 100. The ML Platform team emphasizes technical excellence, influence, and long-term architectural progress.

What makes a strong candidate for this role?

A strong candidate is a high-impact Staff-level individual contributor who can set technical direction for AI/ML infrastructure, architect platform strategy at scale, and drive the roadmap from v1 to vNext, enabling self-service workflows and real-time inference.

Attentive

Personalized SMS marketing solutions for businesses

About Attentive

Attentive provides personalized SMS marketing solutions that help eCommerce businesses and direct-to-consumer (DTC) brands engage their customers through targeted text messaging. The platform uses APIs and webhooks to allow businesses to easily create and manage custom SMS campaigns. Unlike its competitors, Attentive operates on a subscription-based model, offering various features and premium customization options, which helps clients increase customer engagement and sales. The company's goal is to enhance customer relationships and drive revenue growth through effective communication.

Hoboken, New JerseyHeadquarters

2016Year Founded

$839.5MTotal Funding

SERIES_ECompany Stage

Data & Analytics, Consulting, Consumer SoftwareIndustries

1,001-5,000Employees

Benefits

Generous PTO

Medical, Dental, & Vision Insurance

Daily Lunch Delivery Credit

Equity

Remote Work & Wellness Benefits

Company-Wide Events & Employee-Led Activities

Risks

Competition from Textla could erode Attentive's market share in SMS marketing.

Over-reliance on AI may lead to data privacy concerns and regulatory scrutiny.

Dependency on third-party integrations like ParTech poses risks if partnerships dissolve.

Differentiation

Attentive leads in AI-driven SMS marketing with hyper-personalized messaging solutions.

The company offers seamless integration with APIs and webhooks for efficient communication.

Attentive's subscription model ensures steady revenue with premium add-ons for customization.

Upsides

Attentive saw 128% revenue growth in the UK, highlighting demand for AI solutions.

Partnership with ParTech enhances restaurant loyalty programs, boosting customer retention.

Attentive's AI Journeys and AI Pro offer unique one-to-one marketing, differentiating them.

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