Machine Learning Engineer developing advanced SLAM systems for autonomous trucking environments at Bot Auto. Collaborating with cross - functional teams to optimize mapping solutions and ensure operational stability.
About the role
- Staff Product Manager for HBO Max developing ML and AI messaging strategies. Fostering growth in user engagement through targeted communication and insights-driven decisioning.
Responsibilities
- Define and own the product strategy for Machine Learning and AI decisioning, partnering with Engineering, Design, Product, and Marketing to drive customers to their next best action, whether its content they’ll love or information about their membership.
- Partner with Data Science and ML Engineers to design and deploy predictive models (e.g., take rate models, contextual bandits) that inform not only which campaign to send, but through what channel and at what time.
- Translate model outputs into ranking and eligibility policies that integrate with messaging & CRM systems.
- Partner with Data Science, Experimentation, and Analytics teams to define KPIs, set up experiments (A/B tests, Multi-Armed Bandits), and interpret results to assess offer effectiveness and model accuracy.
- Iterate on models and offer strategies based on experimental results, behavioral insights, and business context.
- Define product requirements for decision engines, orchestration, and self-serve tools that enable non-technical partners to configure campaigns within guardrails.
- Communicate progress, risks, and opportunities to senior leadership and other stakeholders, advocating for the consumer messaging vision & trade-offs.
Requirements
- 8+ years of product management experience in CRM, growth, monetization, or ML/AI-driven products
- Proven track record of partnering with Data Science and Engineering to launch ML-powered features and models at scale
- Hands-on experience with experimentation frameworks (e.g., A/B testing, multi-armed bandits, holdouts), especially for CRM and lifecycle communications
- Strong product intuition with the ability to balance data, model performance, business goals, and user experience
- Ability to write clear end-to-end product requirements, from backend offer logic to front-end presentation and messaging, ensuring automated and ML-driven campaigns are delivered with clarity, consistency, and impact
- Strong Technical Acumen: Comfortable working with backend systems, data infrastructure, and multi-platform environments (web, mobile, CTV)
- Outstanding Communication Skills: Strong communicator who can influence without authority, align cross-functional teams, and bring clarity to ambiguity
- Deeply Curious: Deep interest in personalization, behavioral science, and maximizing customer lifetime value
- Industry Expertise: Familiarity with CRM systems & other messaging surfaces is preferred. Experience with Direct-to-consumer video and streaming subscription products is a plus.
Benefits
- health insurance coverage
- employee wellness program
- life and disability insurance
- retirement savings plan
- paid holidays and sick time
- vacation
Job title
Job type
Experience level
Salary
Degree requirement
Location requirements
Graduate Deep Learning Algorithm Developer developing perception technologies for autonomous driving. Tackling challenges in object detection and 3D perception using state - of - the - art deep learning models.
Principal AI/ML Engineer leading the AI/ML infrastructure development for WEX's risk service needs. Focused on innovative engineering and technology solutions within a high - stakes environment.
AI/ML Engineer developing solutions in artificial intelligence for HPE. Responsible for conducting research, designing AI solutions, and mentoring team members.
Machine Learning Engineer focusing on modeling cancer cells and developing related tools. Collaborating with researchers and scientists to advance cancer treatment through ML.
Machine Learning Engineer II developing production - grade ML models for fraud detection at GEICO. Collaborating on system architecture and ensuring optimal performance of fraud assessment systems.
AI/ML Engineer III designing and architecting AI solutions at Hewlett Packard Enterprise. Collaborating with teams to drive innovation and tackle complex problems.
AI/ML Engineer deploying state - of - the - art AI models to solve real - world problems at Brain Co. Working in healthcare, government, and energy sectors for impactful results.
Trainer at WeAndTheMany facilitating learning by sharing experiences and creating interactive sessions. Engaging with students to enhance their skills and knowledge through dynamic teaching methods.
Machine Learning Manager leading experienced team to drive data - driven AI/ML solutions at Ford. Overseeing strategies for product development focused on analytics in various domains.