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Product Manager - II - API Integrations

Job in Bengaluru, 560001, Bangalore, Karnataka, India
Listing for: Tekion Corp
Full Time position
Listed on 2026-02-14
Job specializations:
  • IT/Tech
    AI Engineer, Data Engineer
Job Description & How to Apply Below
Location: Bengaluru

About Tekion:

Positively disrupting an industry that has not seen any innovation in over 50 years, Tekion has challenged the paradigm with the first and fastest cloud-native automotive platform that includes the revolutionary Automotive Retail Cloud (ARC) for retailers, Automotive Enterprise Cloud (AEC) for manufacturers and other large automotive enterprises and Automotive Partner Cloud (APC) for technology and industry partners. Tekion connects the entire spectrum of the automotive retail ecosystem through one seamless platform.

The transformative platform uses cutting-edge technology, big data, machine learning, and AI to seamlessly bring together OEMs, retailers/dealers and consumers. With its highly configurable integration and greater customer engagement capabilities, Tekion is enabling the best automotive retail experiences ever. Tekion employs close to 3,000 people across North America, Asia and Europe.

We are seeking a driven, technically fluent Senior Product Manager to join our Integration Platform Team. This role is ideal for someone passionate about building robust, developer-friendly platforms that connect APIs, products, and third-party services—with a strong emphasis on pioneering AI-driven integrations to automate workflows, enhance data intelligence, and unlock predictive capabilities across our ecosystem. You will help shape the infrastructure and tools powering integrations, all while championing innovation, reliability, and scalability.

What You'll Do

- Define and drive the roadmap for key initiatives including development of core platform modules, design and build of core developer platform capabilities (robust APIs, SDKs, developer portals, sandbox environments, webhooks, rate limiting, and analytics), enhancing data transparency and quality via AI insights, platform logging and monitoring, and analytics—while preparing the platform for AI-driven integration.
- Drive AI-powered integration innovations:
Define and roadmap AI capabilities such as intelligent data mapping, automated error resolution, predictive analytics for integration health, natural language workflow builders, and ML-based connector optimization—preparing the platform for autonomous, scalable AI orchestration while ensuring reliability and governance.
- Develop extensible UI frameworks:
Create configurable form libraries and dynamic custom field frameworks that allow developers and admins to design, manage, and render complex data entry forms and extend core entities—driven by metadata and supporting validation, role-based access, localization, and integration with APIs and front-end tooling.
- Lead the transition of legacy integrations to the new Integration Platform, reducing operational costs and consolidating control within the Integrations Team.
- Create comprehensive documentation and high-value partner content to streamline onboarding and ongoing support for all integrations.
- Extract, analyze, and present actionable insights from the integration platform, guiding both product and technical improvements.
- Collaborate cross-functionally with Engineering, Design, Partner, and Operations teams to identify integration pain points, define solutions, and measure real business and technical impact.
- Ensure a seamless developer experience, making the platform robust, intuitive, and enjoyable to build on.

Core

Skills and Qualifications

Technical Platform Expertise

- Minimum 4 years of hands-on Product Management experience with at least 1 years on developer platform, API, or developer-oriented products.
- Deep understanding of APIs, webhooks, and integrations, with knowledge of RESTful principles, authentication/authorization, protocols (HTTP/HTTPS), data formats (JSON, XML), eventing, rate limiting, and security best practices.
- Understanding of system architecture concepts, including microservices, service-oriented architecture, cloud infrastructure, scalable integration solutions, and developer platform primitives (portals, sandboxes, app management).

AI and Developer Tools

- AI and ML familiarity for integrations:
Experience or strong interest in applying AI/ML to platforms (e.g., LLMs for config generation,…
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