Project Manager
Role: Project Manager
Duration: 6-12+ Months Contract
Location: Santa Clara, CA - 5D Onsite
Must Have Skills
Skill 1 10+ years of experience as a Technical PM, Product Owner, Engineering PM, or similar role.
Skill 2 Working understanding of GenAI/LLMs, prompt engineering, vector stores, embeddings, or AI service integrations
Skill 3 Strong understanding of full stack development concepts (UI frameworks, APIs, databases, DevOps pipelines).
Good To have Skills
Skill 1 Certifications such as PMP, CSM, SAFe, or cloud certifications
Key Responsibilities
Business & Stakeholder Engagement
Serve as the primary focal point between Business teams and Engineering.
Conduct requirement gathering sessions to fully understand business objectives, use cases, and constraints.
Translate high level business needs into clear functional and technical requirements.
Coordinate with multiple stakeholder groups, including Product, Engineering, Architecture, QA, Operations, and Leadership.
Project Planning & Execution
Create detailed Work Breakdown Structures (WBS), delivery roadmaps, and execution plans.
Define scope, schedule, resource needs, risk mitigation strategies, and dependency maps.
Drive day to day project execution, tracking progress against committed timelines.
Manage sprint planning, backlog grooming, and release timelines in agile environments.
Publish and maintain delivery plans, project documentation, and status dashboards.
Status Reporting & Communication
Provide timely and transparent communication to all stakeholdersincluding risks, issues, dependencies, and mitigation plans.
Present weekly/monthly status updates to leadership and business owners.
Ensure alignment across global teams, working across time zones and facilitating collaboration with offshore development teams.
Technical Leadership
Collaborate closely with full stack developers, architects, and data/AI teams to ensure technical feasibility and alignment with enterprise standards.
Understand and review technical designs, solution architectures, and integration approaches.
Enable teams in leveraging GenAI/AI services, cloud native platforms, and modern full stack frameworks.
Delivery Management
Ensure end to end delivery qualityfrom requirements to production deployment.
Oversee testing strategy, defect triage, UAT coordination, and release readiness reviews.
Proactively identify delivery risks and handle escalations.
________________________________________
Required Skills & Experience
10+ years of experience as a Technical PM, Product Owner, Engineering PM, or similar role.
Strong understanding of full stack development concepts (UI frameworks, APIs, databases, DevOps pipelines).
Practical knowledge of cloud platforms such as AWS, Azure, or GCP.
Working understanding of GenAI/LLMs, prompt engineering, vector stores, embeddings, or AI service integrations.
Hands on experience with Agile/Scrum delivery models.
Excellent communication, presentation, and stakeholder management skills.
Experience working with offshore/remote teams.
________________________________________
Preferred Qualifications
Technical degree in Computer Science, Engineering, or related field.
Certifications such as PMP, CSM, SAFe, or cloud certifications.
Prior experience managing AI/ML or cloud native product implementations.
Ability to write user stories, acceptance criteria, basic SQL queries, and evaluate technical design documents.
Duration: 6-12+ Months Contract
Location: Santa Clara, CA - 5D Onsite
Must Have Skills
Skill 1 10+ years of experience as a Technical PM, Product Owner, Engineering PM, or similar role.
Skill 2 Working understanding of GenAI/LLMs, prompt engineering, vector stores, embeddings, or AI service integrations
Skill 3 Strong understanding of full stack development concepts (UI frameworks, APIs, databases, DevOps pipelines).
Good To have Skills
Skill 1 Certifications such as PMP, CSM, SAFe, or cloud certifications
Key Responsibilities
Business & Stakeholder Engagement
Serve as the primary focal point between Business teams and Engineering.
Conduct requirement gathering sessions to fully understand business objectives, use cases, and constraints.
Translate high level business needs into clear functional and technical requirements.
Coordinate with multiple stakeholder groups, including Product, Engineering, Architecture, QA, Operations, and Leadership.
Project Planning & Execution
Create detailed Work Breakdown Structures (WBS), delivery roadmaps, and execution plans.
Define scope, schedule, resource needs, risk mitigation strategies, and dependency maps.
Drive day to day project execution, tracking progress against committed timelines.
Manage sprint planning, backlog grooming, and release timelines in agile environments.
Publish and maintain delivery plans, project documentation, and status dashboards.
Status Reporting & Communication
Provide timely and transparent communication to all stakeholdersincluding risks, issues, dependencies, and mitigation plans.
Present weekly/monthly status updates to leadership and business owners.
Ensure alignment across global teams, working across time zones and facilitating collaboration with offshore development teams.
Technical Leadership
Collaborate closely with full stack developers, architects, and data/AI teams to ensure technical feasibility and alignment with enterprise standards.
Understand and review technical designs, solution architectures, and integration approaches.
Enable teams in leveraging GenAI/AI services, cloud native platforms, and modern full stack frameworks.
Delivery Management
Ensure end to end delivery qualityfrom requirements to production deployment.
Oversee testing strategy, defect triage, UAT coordination, and release readiness reviews.
Proactively identify delivery risks and handle escalations.
________________________________________
Required Skills & Experience
10+ years of experience as a Technical PM, Product Owner, Engineering PM, or similar role.
Strong understanding of full stack development concepts (UI frameworks, APIs, databases, DevOps pipelines).
Practical knowledge of cloud platforms such as AWS, Azure, or GCP.
Working understanding of GenAI/LLMs, prompt engineering, vector stores, embeddings, or AI service integrations.
Hands on experience with Agile/Scrum delivery models.
Excellent communication, presentation, and stakeholder management skills.
Experience working with offshore/remote teams.
________________________________________
Preferred Qualifications
Technical degree in Computer Science, Engineering, or related field.
Certifications such as PMP, CSM, SAFe, or cloud certifications.
Prior experience managing AI/ML or cloud native product implementations.
Ability to write user stories, acceptance criteria, basic SQL queries, and evaluate technical design documents.
