Senior Scrum Master

Posted 5 Days Ago
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Hyderābād, Telangāna
In-Office
Senior level
Artificial Intelligence • Information Technology • Software
The Role
The Senior Scrum Master will ensure effective Scrum practices across teams, enhance team efficiency, facilitate Scrum ceremonies, and manage impediments in AI and Data Science environments.
Summary Generated by Built In
About Us:  

Foundation AI revolutionizes how plaintiff-focused law firms manage their incoming documents and case files. Our platform automates manual processes—capturing, classifying, and integrating documents into existing case management systems—so law firms can focus on delivering exceptional client service, not administrative drudgery. Top plaintiff firms nationwide trust Foundation AI for a more efficient, error-free workflow.

We are a growing, mission-driven team passionate about using AI to bring transformative efficiency to the legal industry. We embrace diversity and inclusion, encourage open dialogue, and value a growth mindset. At Foundation AI, you’ll be supported by a team that values innovation, curiosity, and personal development.

Job Overview: 

Foundation AI is seeking an experienced, certified, and highly knowledgeable Senior Scrum Master to maximize the effectiveness and predictability of multiple high-performing development teams, specifically those focused on Data Science and AI product development. This role is crucial for ensuring the smooth execution of the Scrum framework across simultaneous sprints, maintaining rigorous process standards, and driving continuous delivery of our core intelligent products.

The Role

You are an expert Scrum practitioner and a hands-on servant leader dedicated to maximizing the efficiency of your teams. Your primary responsibility is the meticulous application of Scrum theory, practices, and rules to ensure both teams operate with high stability, predictability, and velocity. You will be the authority on process, quality gates, and flow, enabling the teams to consistently meet their commitments while navigating the unique challenges of model iteration and data dependency.

Key ResponsibilitiesMulti-Team Service & Process Mastery
  • Dual-Team Oversight: Serve as the dedicated Scrum Master for two distinct Scrum Teams concurrently, harmonizing practices while respecting each team's unique context, particularly in Data Science and AI/ML model deployment.
  • Predictability & Velocity: Implement proven techniques to increase and stabilize team velocity (with a proven ability to achieve gains of ≥10% year-over-year) and improve forecasting accuracy.
  • Quality Gate Enforcement: Ensure strict adherence to both the Definition of Ready (DoR) and the Definition of Done (DoD) for every item entering and leaving the sprint. This includes specific DoD criteria for model training, testing (A/B testing readiness), and infrastructure validation.
  • Masterful Facilitation: Expertly plan and lead all Scrum ceremonies for both teams, ensuring they are productive, goal-oriented, and strictly time-boxed. Active participation and facilitation of Product Backlog Refinement (PBR) is critical for technical story sizing.
Impediment Removal & Technical Focus
  • Active Impediment Resolution: Proactively identify, track, and resolve complex, systemic, and cross-functional impediments, particularly those related to data pipeline dependencies, environment provisioning, and collaboration between Data Scientists and MLOps/Engineering teams.
  • Deep Engagement: Be actively engaged in the daily work and ceremonies, observing flow and immediately addressing issues within the team's working agreements.
  • Protect Team Focus: Act as a robust shield, protecting the Development Teams from external distractions, unplanned requests, and unwarranted stakeholder interference during the sprint.
Transparency, Metrics, & Improvement
  • Metrics Ownership: Ensure accurate and timely reporting of key performance metrics, including velocity trends, cycle time, defect ratios, and sprint commitment success rate.
  • Continuous Improvement: Champion the retrospective process, ensuring that actionable, measurable experiments are derived from each session and followed through to completion.
Required Qualifications
  • Experience: 5+ years of direct, deep experience as a dedicated Scrum Master, with at least 2 years serving multiple teams simultaneously.
  • Domain Expertise: Proven experience working with teams in Data Science, Artificial Intelligence (AI), Machine Learning (ML), or MLOps environments. This includes familiarity with the unique workflow of model development, training, and deployment.
  • Certifications (Advanced): Possess and maintain at least one advanced, internationally recognized Scrum certification: Certified Scrum Professional (CSP-SM) or Professional Scrum Master III (PSM III) or equivalent.
  • Skillset: Proven track record in improving team flow, predictability, and efficiency, specifically in areas affected by data and scientific uncertainty.
  • Knowledge: Comprehensive mastery of Scrum, Kanban, and other Agile principles, with demonstrated ability to apply frameworks flexibly to complex team contexts.
  • Communication: Exceptional communication skills, focused on clear, objective delivery of information and effective conflict resolution.


Our Commitment:

At Foundation AI, we're committed to creating an inclusive and diverse workplace. We value equal opportunity and affirmative action principles, giving everyone an equal chance to succeed. We're dedicated to offering equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or veteran status. Upholding these values and adhering to applicable laws is paramount to us.

For any feedback or inquiries, please contact us at [email protected].

Learn more about us at www.foundationai.com
#LI-DNI 

Top Skills

Agile
AI
Data Science
Kanban
Machine Learning
Mlops
Scrum
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The Company
HQ: Irvine, California
209 Employees
Year Founded: 2019

What We Do

Foundation AI helps law firms and claims departments streamline the manual and error-prone process of managing inbound mail and emailed documents.

The platform profiles inbound documents to the right claim or matter, classifies each by type, and extracts critical information to streamline downstream workflows.

It names and saves each document to the right folder in your document management system, alerts the responsible party, and even automates data entry into your downstream systems.

Automate your document intake. Your people have better things to do.

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