Product Line Manager
Product Line Manager
Posted on :
06-07-2025
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1 Vacancy
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Job Description
Description
Responsibilities
Qualifications
- 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 Masters 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.
Required Experience:
Manager
Employment Type
Full-Time
Key Skills
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