Product Line Manager (AI/ML & Data Platform)

Short Description:

Key responsibilities: 1. Product Strategy & Vision (AI/ML & Scale) 2. Technical Product Development & Execution Leadership 3. People Management & Team Leadership 4. Technical Expertise & Hands-On Contribution 5. Cross-functional Collaboration & Stakeholder Management

Description:

• 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.

Responsibilities:

• Technical Skills:

• Deep expertise in

  Google Cloud Platform (GCP)

  services for data, AI/ML, and scalable infrastructure.

• Expert-level hands-on Python programming skills

  (e.g., for data manipulation, scripting, API interaction, ML prototyping, productionizing)
• Strong working knowledge of

  Hugging Face

  libraries and ecosystem.
• Direct experience with

  LangGraph

  and/or other advanced

  agentic frameworks

  (e.g., LangChain, LlamaIndex) for building intelligent systems.
• Solid understanding of software development lifecycle,

  GitHub

  , Git workflows, and modern coding practices (CI/CD, testing, code quality).

Qualifications:

• Education:

  Bachelors 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.