Agile Scrum Master for AI-Powered Enterprise SaaS

DevNxt

United States

Remote

USD 110,000 - 165,000

Full time

14 days+

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Job summary

Devnxt Technologies is seeking an experienced Scrum Master - AI Product to lead a cross-functional product engineering team building an enterprise SaaS platform with cloud, web, CLI, AI agents, and LLM capabilities. You will drive ceremonies, remove impediments, and balance AI experimentation with predictable delivery.

The role emphasizes servant leadership, evidence-based improvement, and continuous delivery optimization in a fast-paced, data-driven environment.

Qualifications

5–8 years of professional experience as a Scrum Master, Agile Coach, Delivery Lead, or in a comparable Agile delivery role.
Strong practical knowledge of Scrum, Kanban, backlog refinement, sprint planning, release planning, and Agile principles.
Experience improving software delivery flow, team effectiveness, and delivery predictability.
Experience with cross-functional teams including product management, software engineering, QA, UX/UI, cloud/platform, data, or AI.
Excellent facilitation, coaching, communication, conflict-resolution, and stakeholder-management skills.
Ability to identify and manage risks, dependencies, impediments, and escalation paths.
Working knowledge of SDLC, CI/CD, testing, technical debt, production operations, and enterprise release processes.
Experience with Jira or Azure DevOps.
Ability to create and interpret delivery dashboards and actionable performance metrics.
Comfort working in ambiguous and evolving product environments.
Strong analytical thinking, problem-solving, and continuous improvement skills.

Responsibilities

Facilitate sprint planning, daily Scrum, backlog refinement, sprint reviews, and retrospectives.
Ensure ceremonies have clear purpose and actionable outcomes.
Help the team maintain realistic sprint goals and sustainable delivery commitments.
Support release planning and delivery coordination.
Break down large initiatives into smaller, manageable work items.
Monitor WIP, blockers, dependencies, and delivery bottlenecks.
Reduce carryover and unplanned work; improve feedback loops.
Coordinate with Product, UX/UI, AI Research, Cloud/Platform, Security, QA, Customer Success.
Plan AI research spikes and model-dependent deliverables.