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Technical Product Manager

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Hybrid

Technical Product Manager

Softility Tech

Technical Product Manager

Skills

AIKubernetesProduct Manager

1 month ago

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Important information


Contract type:

Permanent

Location:

Hyderabad, Telangana, India

Work mode:

Hybrid

Published on:

28 September 2026

What they need


Technical Product Manager

Translate product direction and customer problems into clear priorities, requirements, and engineering decisions for a technically complex enterprise platform.

Responsibilities

  • Own product discovery, prioritization, requirements, and backlog quality.
  • Translate strategic direction into clearly defined product problems and outcomes.
  • Work directly with customers, engineering, sales, presales, and support.
  • Separate reusable platform requirements from customer-specific requests.
  • Define acceptance criteria and expected product behavior.
  • Prioritize product features, integrations, technical debt, platform work, and UX improvements.
  • Maintain roadmap rationale and decision history.
  • Use customer feedback and product evidence to refine priorities.
  • Keep product documentation aligned with actual behavior.

Mandatory technical knowledge and experience

  • 8+ years product-management experience in technical B2B or enterprise software.

  • Experience working closely with engineering teams on complex platform products.

  • Must be comfortable discussing:

  • APIs and integrations

  • cloud and on-premises deployments

  • Kubernetes concepts

  • metrics, logs and traces

  • incident management and RCA

  • SRE/DevOps workflows

  • LLMs and agent workflows

  • tool calling and context

  • model limitations and evaluation

  • authentication and permissions

  • enterprise data/security constraints

  • Able to read architecture and data-flow diagrams.

  • Strong requirement-writing and prioritization skills.

Preferred

  • SRE, DevOps, infrastructure, observability, security, or developer-tooling background.
  • Previous engineering experience.
  • Enterprise AI products.
  • Customer-hosted enterprise software.
  • POC-driven enterprise sales environments.

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