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About the Role

As an AI Product Manager, you will define the strategy, roadmap, and execution for our suite of Generative AI agentic solutions. Your mission is to reduce the risk and cost associated with managing large-scale, complex production environments. You will partner closely with engineering, production support, and application teams to translate complex operational challenges into a clear product vision and deliver innovative AI solutions that improve productivity, reliability, and safety. You will be the central hub for the product, bringing consistent product management practices—from discovery and planning to launch and iteration—to successfully deliver business-aligned outcomes.

Responsibilities

Develop and champion the product vision, strategy, and roadmap for agentic AI systems.
Define what success looks like by translating user pain points into clear product requirements, user stories, and objective functions linked to reliability, risk reduction, and cost savings.
Guide the end-to-end product lifecycle, from discovery to launch and iteration.
Establish the business-facing evaluation framework for foundational and open-source LLMs.
Prioritize the development of retrieval pipelines, prompt synthesis, and validation loops to meet user needs in production operations.
Define and prioritize integrations with key runtime ecosystems, including observability, incident management, and deployment systems.
Articulate the value proposition for each integration to enable automated diagnostics, runbook execution, and intelligent post-incident analysis.
Collaborate directly with production engineers and application teams through deep user research.
Translate their production challenges into a prioritized AI product roadmap.
Ensure the solutions delivered are auditable, effective, and solve real-world problems.
Establish and own the product framework for AI safety, reliability, and governance.
Work with engineering, legal, and compliance teams to define product policies, deterministic fallbacks, and rollback strategies.
Ensure all solutions adhere to the highest standards of safety and least-privilege access.
Define and monitor product SLOs and key performance indicators (KPIs) for cost, latency, and user satisfaction.
Prioritize engineering efforts to optimize performance through techniques like prompt engineering, caching, and model routing to meet stringent business requirements.
Own the product strategy for the RAG pipeline.
Define the scope of required domain knowledge.
Set product requirements for data quality and validation.
Establish feedback loops to maintain knowledge freshness and relevance.
Lead product design reviews, champion data-driven experimentation, and instill high-quality product management practices.
Mentor peers and stakeholders on AI product management, evaluation methodologies, and safe deployment patterns to foster a culture of innovation and excellence.

Requirements

A bachelor’s degree in Engineering, Computer Science, or an equivalent qualification.
Approximately 10-15 years of overall experience with a significant portion in a product management capacity.
Strong practical experience in leading large, multi-team product initiatives, preferably for AI/ML or technical cloud-based products (e.g., AWS, Google Cloud).
A deep understanding of the AI/ML development lifecycle, including LLMs, agentic architectures, RAG pipelines, and MLOps.
Ability to engage in deep technical discussions.
Demonstrated ability to engage with engineering teams, fellow product managers, and end-users to understand complex workflows, identify opportunities, and create clear, prioritized product roadmaps.
Excellent oral and written communication skills, with the ability to articulate a complex technical vision to both technical and non-technical senior leadership.
Proven ability to work strategically and collaboratively across teams in fast-paced and constantly changing environments.
Strong analytical skills, with experience defining and tracking product metrics to make data-informed decisions.
Proven ability to influence cross-functional teams and demonstrate product leadership without direct authority.

Skills

Generative AI
Agentic solutions
Product strategy
Roadmap definition
Product lifecycle management
LLMs
RAG pipelines
MLOps
AI safety
AI reliability
AI governance
Prompt engineering
Caching
Model routing
Data quality
Data validation
Product metrics analysis
Cross-functional collaboration
Technical communication

Location

Salt Lake City, Utah

Work Type

Full-time

Experience Level

10-15 years of experience
Significant portion in product management

Education Level

Bachelor's degree in Engineering, Computer Science, or equivalent

Salary/Compensations

$105-125K

About the Company

eClerx is a leading provider of productized services, bringing together people, technology and domain expertise to amplify business results.
The firm provides business process management, automation, and analytics services to a number of Fortune 2000 enterprises, including some of the world’s leading financial services, communications, retail, fashion, media & entertainment, manufacturing, travel & leisure, and technology companies.
Incorporated in 2000, eClerx is traded on both the Bombay and National Stock Exchanges of India.
The firm employs more than 19,000 people across Australia, Canada, France, Germany, Switzerland, Egypt. India, Italy, Netherlands, Peru, Philippines, Singapore, Thailand, the UK, and the USA.

Equal Opportunity

eClerx is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
We are also committed to protecting and safeguarding your personal data. Please find our policy here.