Scrum Master – AI Product

DevNxt; United States; Remote; USD 110,000 - 165,000; Full time

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.

Skills

Scrum Master

Agile Coaching

Backlog Refinement

Facilitation

Cross-functional

SDLC & CI/CD

AI Product Experience

Education

Bachelor's degree

Tools

Jira

Azure DevOps

Power BI

Job description

Devnxt Technologies is a technology company focused on software development, digital solutions, and building scalable technology products. We are exploring AI-driven solutions and modern software engineering practices to help businesses improve productivity, streamline workflows, and accelerate digital transformation.

We are looking for an experienced Scrum Master - AI Product to support a cross-functional product engineering team working on an enterprise SaaS platform with cloud, web, CLI, AI agent, and Large Language Model (LLM) capabilities.

In this role, you will help establish a transparent and sustainable delivery system, facilitate team collaboration, remove impediments, and improve delivery outcomes while balancing product discovery, engineering quality, AI experimentation, and release commitments.

We value servant leadership, evidence-based decision-making, continuous improvement, and practical Agile implementation over unnecessary ceremonies and process overhead.

What We Are Looking For

• Servant Leadership: Build trust, encourage ownership, coach team members, and address team dynamics constructively.
• Flow and Systems Thinking: Identify bottlenecks, dependencies, unclear requirements, oversized work items, technical debt, and delays in decision-making.
• Evidence-Based Improvement: Use cycle time, throughput, work-in-progress (WIP), delivery predictability, escaped defects, and business outcomes to improve team performance.
• Effective Facilitation: Facilitate planning, backlog refinement, reviews, retrospectives, and cross-team discussions to achieve clear decisions and actionable outcomes.
• Product and Technical Understanding: Understand enterprise SaaS, cloud platforms, APIs, web applications, CLI tools, and AI-driven software development workflows.

Key Responsibilities

1. Agile Delivery and Facilitation

• Facilitate sprint planning, daily Scrum, backlog refinement, sprint reviews, and retrospectives.
• Ensure each ceremony has a clear purpose, productive discussions, and actionable outcomes.
• Help the team maintain realistic sprint goals and sustainable delivery commitments.
• Support release planning and delivery coordination.

2. Delivery Flow Optimization

• Help the team break down large initiatives into smaller, manageable work items.
• Monitor work in progress, blocked tasks, dependencies, and delivery bottlenecks.
• Reduce unnecessary carryover, unplanned work, and delays in feedback.
• Encourage continuous delivery improvement using relevant metrics and observations.

3. Impediment Management

• Identify and resolve organizational, technical, tooling, environment, and dependency-related impediments.
• Escalate unresolved blockers to the appropriate stakeholders.
• Track impediments through resolution and ensure accountable follow-through.
• Improve collaboration between engineering teams and supporting functions.

4. Product and Engineering Collaboration

• Work closely with Product Owners, Product Managers, Engineering Managers, developers, QA engineers, and designers.
• Facilitate discussions around scope, technical trade-offs, dependencies, and delivery risks.
• Improve alignment between product expectations and engineering capacity.

5. Delivery Reporting

• Maintain meaningful dashboards and delivery reports.
• Track cycle time, throughput, WIP, sprint goal achievement, escaped defects, and delivery predictability.
• Communicate risks, dependencies, release readiness, and progress transparently.

6. Cross-Functional Coordination

• Coordinate with Product, UX/UI, AI Research, Cloud/Platform, Security, QA, Customer Success, and other relevant stakeholders.
• Facilitate dependency management and cross-team planning.
• Help resolve conflicting priorities and improve decision-making across teams.

7. Supporting AI Product Development

• Help the team plan AI research spikes, technical experiments, evaluation datasets, and model-dependent deliverables.
• Distinguish between committed engineering deliverables and uncertain experimental outcomes.
• Encourage measurable experiments and documented learning milestones.
• Help teams manage changing requirements and uncertainty associated with AI agents, LLMs, and probabilistic system behavior.

9. Continuous Improvement and Quality

• Convert retrospective findings into measurable improvement actions with clear ownership.
• Evaluate process changes using delivery evidence and team feedback.
• Protect time for discovery, engineering excellence, testing, security, documentation, and operational readiness.
• Promote a culture of learning, transparency, and continuous delivery improvement.

Required Skills and 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.
• Demonstrated experience improving software delivery flow, team effectiveness, and delivery predictability.
• Experience working with cross-functional teams involving 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 the Software Development Life Cycle (SDLC), CI/CD, testing, technical debt, production operations, and enterprise release processes.
• Experience with Agile project management tools such as 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.

Desired Skills — Good to Have

• Experience with enterprise SaaS products, developer tools, cloud platforms, AI/ML products, or data-driven applications.
• Exposure to AI-assisted software development, AI agents, LLMs, model evaluation, research spikes, and experimental workflows.
• Knowledge of Team Topologies, DevOps, value-stream mapping, DORA metrics, and Evidence-Based Management.
• Experience coordinating delivery across multiple teams or complex product environments.
• Familiarity with Azure DevOps Analytics, Power BI, or similar reporting and flow-analysis tools.
• Scrum or Agile certifications such as PSM, CSM, PMI-ACP, or SAFe.
• Exposure to automotive software engineering or regulated enterprise environments.

Education

• Bachelor's degree in Engineering, Computer Science, Business, or a related discipline, or equivalent practical experience.
• Relevant certifications in Agile, Scrum, project management, product management, or change management are an advantage.

Why Join Devnxt Technologies?

• Work on modern software products and emerging AI-driven technologies.
• Contribute to building scalable SaaS platforms and intelligent engineering solutions.
• Collaborate with a cross-functional product engineering team.
• Help shape practical Agile delivery processes and engineering culture.
• Make a meaningful contribution to product development and continuous improvement.