Associate Manager, Machine Learning Services @ Sprinklr

• Collaborate with Product, Services, Engineer ing and Data Scien ce teams to build and deliver AI products.

• Connect with internal and external stakeholders to understand use cases and advise on solutions.

• Translate complex technical concepts to non-technical stakeholders.

• Perform and manage tasks daily including but not limited to data annotation, AI quality monitoring, a n d KPIs monitoring .

• Assist in training the team on AI-specific configuration, AI model development, delivery processes, and data analysis.

• Knowledge of office tools like Lucid Charts, Confluence, JIRA, MS Office suite to build organized professional-level documentation.

• Understand responsibilities and priorities, sense possible pitfalls , and timely discuss them with the team.

• Assist or co-own escalations, work on high priority incidents, collaborate and delegate tasks within the team to meet resolutions, and establish effective synergy among stakeholders.

• Develop systems and procedures to ensure quality of delivery.

• Understand the scope of deliveries and create collaborative delivery plans.

• Be accountable for service delivery performance, meeting customer expectations, and aiding in driving future demand.

• Assist in people management, including staff recruitment, performance assessment and training .

Preferred Qualification

• Full-time bachelors or masters degree in either of the following specializations: Management / Engineering / Communication.

• Overall, 3-5 years of experience in ML project management , AI quality monitoring or similar role.

• Understanding and knowledge of Agile and Scrum processes, terminologies, and artifacts.

• Prior experience and background in service delivery, AI quality monitoring, data annotation, KPI monitoring, data management, team management, client communication, vendor management, and documentation.

• Awareness of ML lifecycle and workflows, from initial client consultation to final deployment.

• Good written and verbal communication skills - Ability to create training documentation, review project documents for peers, and create custom documentation when required for a client.

• Organizational and interpersonal skills to keep project goals clear, have timely connects with internal team/clients, and ensure deliveries are checked and tested in prior.

• Ability to collaborate - working with the Manager on setting team goals, planning, and achieving them. Also, present/share newer solutions or ideas for growth and improvements in the team.

• Taking ownership of critical incidents, coordinating with resolution parties, and establishing effective communication between stakeholders for post-incident reviews.

• Ensuring that systems, procedures, and methodologies are in place to support outstanding service delivery.

• Developing a deep understanding of the projects to gain insights into the scope of service delivery.

• Taking accountability for service delivery performance, meeting customer expectations, and driving future demand.

• Analyzing third-party as we'll as internal processes and creating strategies for service delivery optimization.