Behavioral Health Care Manager I managing psychiatric and substance abuse treatment through telephonic or written review. Ensuring access to quality behavioral healthcare under UM Clinical Guidelines and contract standards.
About the role
- Product Line Manager overseeing AI/ML product strategy and development. Leading team and collaborating across functions to drive innovation and execution in a technical environment.
Responsibilities
- Product Strategy & Vision (AI/ML & Scale):
- Define and evangelize the product vision, strategy, and roadmap for our AI/ML platform, data pipelines, and scalable application infrastructure, aligning with overall company objectives.
- Identify market opportunities, customer needs, and technical trends to drive innovation and competitive advantage in the AI/ML and large-scale data domain.
- Translate complex technical challenges and opportunities into clear, actionable product requirements and specifications.
- Product Development & Execution Leadership:
- Oversee the entire product lifecycle from ideation and discovery through development, launch, and post-launch iteration for critical AI/ML and data products.
- Work intimately with engineering, data science, and operations teams to ensure seamless execution and delivery of high-quality, performant, and scalable solutions.
- Champion best practices for productionizing applications at scale and ensuring our systems can handle huge volumes of data efficiently and reliably.
- Define KPIs and metrics for product success, monitoring performance and iterating based on data-driven insights.
- People Management & Team Leadership:
- Lead, mentor, coach, and grow a team of Technical Product Managers, fostering a culture of innovation, accountability, and continuous improvement.
- Provide clear direction, set performance goals, conduct regular reviews, and support the professional development and career growth of your team members.
- Act as a leader and role model, promoting collaboration, open communication, and a positive team environment.
- Technical Expertise & Hands-On Contribution:
- Possess a deep understanding of the end-to-end ML lifecycle (MLOps), from data ingestion and model training to deployment, monitoring, and continuous improvement.
- Demonstrate strong proficiency in Google Cloud Platform (GCP) services, including but not limited to, compute, storage, networking, data processing (e.g., BigQuery, Dataflow, Dataproc), and AI/ML services (e.g., Vertex AI, Cloud AI Platform).
- Maintain a strong hands-on expertise level in Python programming, capable of contributing to prototypes, proof-of-concepts, data analysis, or technical investigations as needed.
- Extensive practical experience with leading AI frameworks and libraries, including Hugging Face for natural language processing and transformer models.
- Proven experience with LangGraph (or similar sophisticated agentic frameworks like LangChain, LlamaIndex), understanding their architecture and application in building intelligent, multi-step AI systems.
- Solid understanding of agentic frameworks, their design patterns, and how to productionize complex AI agents.
- Excellent exposure to GitHub and modern coding practices, including version control, pull requests, code reviews, CI/CD pipelines, and writing clean, maintainable code.
- Cross-functional Collaboration & Stakeholder Management:
- Collaborate effectively with diverse stakeholders across engineering, data science, design, sales, marketing, and executive leadership to gather requirements, communicate progress, and align strategies.
- Act as a bridge between technical teams and business stakeholders, translating complex technical concepts into understandable business implications and vice-versa.
Requirements
- Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
- Experience:
- 8+ years of progressive experience in technical product management roles, with a significant portion focused on AI/ML, data platforms, or highly scalable systems.
- 3+ years of direct people management experience, leading and mentoring a team of product managers or technical leads.
- Demonstrable track record of successfully bringing complex technical products from concept to production at scale.
- Proven ability to manage products that handle massive volumes of data and require high throughput.
- Extensive practical experience with AI/ML model deployment and MLOps best practices in a production environment.
- Leadership & Soft Skills:
- Exceptional leadership, communication, and interpersonal skills, with the ability to inspire and motivate a team.
- Strong analytical and problem-solving abilities, with a data-driven approach to decision-making.
- Ability to thrive in a fast-paced, ambiguous, and rapidly evolving technical environment.
- Excellent ability to articulate complex technical concepts to both technical and non-technical audiences.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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