KR Elixir, Inc. - IT Services & Solutions
Website:
krelixir.com
Job details:
Product Owner/Manager – AI & API Platform
Experience : 12+ Years
About Us
KR Elixir Technology Inc. is a next-generation IT Services company headquartered in Alpharetta, Georgia, USA, specializing in Data, AI, Digital, and Cloud Solutions. While KR Elixir is primarily a services-led organization, we are also investing in and building innovative AI products, enterprise platforms, accelerators, and cloud-native solutions that help organizations modernize application development, API management, enterprise integration, and AI adoption.
Our expertise spans Data Governance, Analytics, Artificial Intelligence, Generative AI, Cloud Engineering, Enterprise Integration, API Platforms, and Digital Product Development for web, mobile, and cloud-native applications. With over 1,000 employees globally, KR Elixir serves clients across the USA, India, UK, Brazil, UAE, Chile, and ANZ.
We are proud recipients of the Fast 100 Asian American Business Award (2020), recognized for innovation and excellence in IT Services. For more information, please visit https://krelixir.com.
We are building a next-generation AI-native platform that unifies API Lifecycle Management, Agentic AI, AI Gateways, Model Context Protocol (MCP), AI Agents, and Enterprise Integration into a single developer experience. Our mission is to help enterprises design, build, secure, test, govern, and deploy APIs and AI agents faster and more intelligently.
As an early-stage startup, we move quickly, value ownership, and encourage innovation. If you're excited about shaping products from the ground up and working directly with customers, we'd love to hear from you.
Role Overview
We are looking for a highly motivated Product Owner – AI & API Platform to define product strategy, own the roadmap, and work closely with engineering, design, customers, and leadership to deliver world-class AI and API products.
You will own the product lifecycle from idea to launch, transforming customer problems into scalable, high-impact solutions. The ideal candidate combines technical knowledge of APIs and AI with strong product management and communication skills.
Key Responsibilities
Product Strategy & Vision
- Define and execute the product vision, roadmap, and strategy for AI and API platform capabilities.
- Identify market opportunities through customer research, competitive analysis, and industry trends.
- Prioritize initiatives that maximize customer value and business impact.
- Translate business goals into clear product outcomes and measurable success metrics.
Product Ownership
- Own the product backlog and prioritize features based on customer needs and business objectives.
- Write detailed user stories, acceptance criteria, and product requirements.
- Lead sprint planning, backlog grooming, and release planning with engineering teams.
- Ensure timely delivery of high-quality product releases.
AI Product Management
- Drive features related to Generative AI, Agentic AI, AI Gateways, AI Agents, MCP, and Retrieval-Augmented Generation (RAG).
- Collaborate with AI engineers to define prompt management, model selection, evaluation, guardrails, and observability.
- Help shape AI capabilities such as copilots, intelligent automation, and enterprise AI assistants.
API Platform
- Define requirements for API Design, API Governance, API Testing, API Security, API Catalog, API Gateway, and API Lifecycle Management.
- Drive API-first product strategy and developer experience improvements.
- Understand REST, GraphQL, gRPC, OpenAPI, AsyncAPI, and API Management best practices.
Customer Engagement
- Meet with enterprise customers to understand challenges and validate product direction.
- Gather feedback, analyze usage metrics, and translate insights into product improvements.
- Partner with sales and customer success teams to support product demonstrations and customer onboarding.
Cross-Functional Leadership
- Work closely with Engineering, UX, QA, Marketing, Sales, and Executive Leadership.
- Remove blockers, resolve priorities, and align teams around shared goals.
- Communicate product updates, roadmap progress, and release plans to stakeholders.
Startup Ownership
- Thrive in a fast-paced startup environment where priorities evolve quickly.
- Take ownership beyond the job description and contribute across product, customer success, and go-to-market initiatives.
- Balance speed of execution with product quality and scalability.
Required Qualifications
- Bachelor's degree in Computer Science, Engineering, Business, or a related field.
- 5–10+ years of Product Owner or Product Manager experience in SaaS, API platforms, AI, or enterprise software.
- Strong understanding of Agile, Scrum, and modern product development practices.
- Experience managing technical products with engineering teams.
- Excellent communication, stakeholder management, and decision-making skills.
Technical Knowledge
AI & Generative AI
- Large Language Models (LLMs)
- Generative AI
- Agentic AI
- AI Agents
- Prompt Engineering
- Retrieval-Augmented Generation (RAG)
- Model Context Protocol (MCP)
- AI Gateways
- AI Guardrails
- AI Evaluation & Observability
API Technologies
- REST APIs
- GraphQL
- gRPC
- OpenAPI Specification
- AsyncAPI
- API Lifecycle Management
- API Governance
- API Security
- OAuth 2.0 / OpenID Connect
- API Gateways (Apigee, Kong, AWS API Gateway, Azure API Management)
Cloud & Platforms
- Google Cloud Platform
- Microsoft Azure
- Amazon Web Services
- Kubernetes
- Docker
- CI/CD
- GitHub
Preferred Qualifications
- Experience with AI platforms such as Vertex AI, Azure AI Foundry, Amazon Bedrock, or OpenAI APIs.
- Knowledge of LangChain, LangGraph, CrewAI, Semantic Kernel, or Google ADK.
- Experience with vector databases and enterprise search.
- Familiarity with developer platforms, DevOps, and API ecosystems.
- Startup or founder experience is highly valued.
What You'll Own
- Product Vision & Strategy
- Product Roadmap
- AI Platform Features
- API Platform Features
- Customer Discovery & Feedback
- Product Backlog
- Release Planning
- Feature Prioritization
- Success Metrics & KPIs
- Developer Experience
Success Metrics
- On-time product releases.
- Customer adoption and satisfaction.
- Growth in API and AI platform usage.
- Increased feature adoption and user engagement.
- Improved developer productivity.
- Reduced customer-reported issues.
- Delivery of innovative AI capabilities aligned with market needs.
Click on Apply to know more.