Associate Manager - GTM Analytics, Insights and AI

Kore.ai is a globally recognized leader in the conversational and generative AI space helping enterprises deliver extraordinary experiences for their customers, employees, and contact center agents. Kore.ai’s goal is to empower businesses with effective, simple and responsible AI solutions that create engaging interactions. sectors serving over 100M of consumers and 500,000+ employees worldwide. With billions of interactions automated using our AI-powered technology, we have been able to save over $500M for these companies.

Kore.ai is one of the fastest-growing AI companies globally. We are recognized as a leader by the leading technology and industry analysts like Gartner, Forrester, IDC, ISG, Everest, and others.

Founded in 2014 by serial successful entrepreneur, Raj Koneru, Kore.ai supports customers globally across offices in Orlando, Hyderabad, New York, London, Germany, Dubai Frankfurt, Tokyo and Seoul.

We’re reshaping the way companies harness the power of AI, simplifying and enhancing accessibility. Work alongside some of the brightest minds in the industry to pioneer safe, reliable solutions. Join the Kore.ai team and help companies of all sizes simplify the adoption of advanced AI solutions responsibly.

POSITION / TITLE:

Associate Manager – GTM Analytics, Insights and AI

Role Overview

We are seeking an analytical, business-oriented Associate Manager of GTM Analytics, Insights and AI to help optimize the performance, efficiency, and scalability of our go-to-market organization. This role sits at the intersection of data analytics, business intelligence, strategic insights, and AI-driven innovation, translating complex data into actionable recommendations that improve revenue performance and inform business decisions.

This individual will own key analytical workstreams, sales productivity, customer and product performance, and GTM effectiveness. Beyond reporting historical performance, the role will proactively investigate business trends, identify root causes of performance gaps, and recommend actions to improve outcomes.

The ideal candidate combines robust analytical and technical capabilities with commercial acumen, intellectual curiosity, and the ability to communicate complex findings in a clear, concise, and compelling manner. One is comfortable moving between detailed analysis and strategic business discussions, operates effectively in ambiguous environments, and consistently translates insights into measurable business impact.

Key Responsibilities

1. GTM Analytics, Data Engineering and Business Intelligence
2. Develop and maintain a comprehensive view of GTM performance across Sales, Marketing, Customer Success, and other revenue-generating functions.
3. Build, maintain, and continuously improve executive dashboards (in Looker and Coefficient), operational scorecards, and self-service reporting solutions that provide timely and reliable visibility into business performance.
4. Build and maintain data pipelines, data models, and semantic layers that power GTM dashboards, forecasting models, and AI-enabled applications.
5. Own and evolve the GTM data model within the organization’s central data warehouse (ClickHouse), integrating data from CRM, sales engagement, customer support, and project management.
6. Write and optimize SQL and Python to extract, transform, validate,



and analyze data across multiple sources.
7. Monitor key performance indicators, identify emerging trends and anomalies, and proactively surface risks and opportunities to business stakeholders.
8. Streamline recurring analyses through standardized reporting, reusable data models, and automation, reducing manual effort and improving analytical consistency.
9. Ensure analytical outputs are accurate, well-documented, easy to interpret, and aligned with established business definitions.
10. GTM Insights, Funnel Analytics, and Revenue Performance
11. Analyze the end-to-end GTM funnel, from demand generation and prospecting through opportunity creation, pipeline progression, revenue realization, customer retention, and expansion.
12. Evaluate pipeline generation, coverage, stage conversion, sales velocity, win rates, deal slippage, and sales cycle duration to identify the primary drivers of revenue performance.
13. Support the development of predictive and scenario-based analyses that improve pipeline planning, revenue forecasting, and resource allocation.
14. Strategic Insights and Decision Support
15. Move beyond descriptive reporting to deliver diagnostic and, where appropriate, predictive insights that explain performance drivers and potential future outcomes.
16. Conduct root-cause analyses to identify the underlying factors affecting growth, productivity, conversion, profitability, and customer outcomes.
17. AI, Advanced Analytics and Workflow Automation
18. Design, build, test, and deploy AI agents and retrieval-augmented generation (RAG) workflows that enable GTM teams to access contextual, data-driven answers and actionable insights beyond traditional dashboards.
19. Develop AI-enabled analytical solutions that allow stakeholders to query approved business data, investigate performance trends, summarize findings, and accelerate decision-making.
20. Identify, evaluate, and implement opportunities to apply generative AI, predictive analytics, and automation to GTM analytics and operational workflows.
21. Build and improve AI-enabled workflows that accelerate data exploration, recurring reporting, insight generation, documentation, and business analysis.
22. Monitor the quality, reliability, adoption, and business impact of deployed solutions, iterating based on stakeholder feedback and observed results.
23. Data Quality, Analytics Infrastructure and Reporting Standards
24. Develop a strong understanding of the underlying data architecture, including CRM and various other tools and platforms.
25. Identify data gaps, inconsistencies, reporting limitations, and process breakdowns that affect the accuracy of GTM insights.
26. Own and improve CRM reporting, workflows, and data integrations that support pipeline management, sales execution, and cross-functional visibility.
27. Cross-Functional Partnership and Stakeholder Enablement
28. Serve as a trusted analytics partner to Sales, Marketing, Customer Success, BDRs, and Finance leadership.
29.



Enable stakeholders to independently access and interpret trusted data through intuitive dashboards and self-service tools.
30. Manage multiple analytical projects simultaneously, balancing recurring reporting requirements with ad hoc requests and longer-term strategic initiatives.
31. Project Leadership and Continuous Improvement
32. Lead analytical initiatives from problem definition and scoping through data discovery, analysis, recommendation, implementation, and impact measurement.
33. Identify opportunities to standardize processes, eliminate redundant work, and improve the efficiency of analytical delivery.
34. Lead and mentor junior analysts in analytical problem-solving, data quality, business storytelling, and technical best practices.

Required Qualifications

- Approximately 4-7 years of experience in GTM analytics, revenue operations, sales analytics, business intelligence, strategy and operations, or a related analytical function
- Strong SQL skills and hands on experience with a central data warehouse, ideally ClickHouse or a comparable platform such as Snowflake, BigQuery, or PostgreSQL
- Proficiency in Python for data extraction, transformation, analysis, automation, and statistical or machine learning applications.
- Strong foundation in data modeling and database design, including dimensional modeling, star and snowflake schemas, normalization, slowly changing dimensions (SCDs).
- Experience building and maintaining data pipelines, integrating multiple data sources, and ensuring data quality and reliability.
- Advanced proficiency in Excel or Google Sheets, including complex formulas, pivot tables, data manipulation, and scenario analysis.
- Familiarity with AWS, REST APIs, and Model Context Protocol (MCP)
- Hands-on experience building and maintaining dashboards and reports using a business intelligence platform such as Looker, Coefficient, Tableau or Power BI.
- Practical experience using generative AI tools to improve analytical productivity, automate workflows; understanding of LLMs, RAG pipelines, semantic layers, agentic development and machine learning models
- Strong written and verbal communication skills, with the ability to explain complex analytical findings to nontechnical stakeholders.
- Demonstrated ability to manage competing priorities, lead projects, and deliver high-quality work in a fast-paced workplace.
- Robust business judgement, attention to detail, intellectual curiosity, and a bias toward action.

Preferred Qualifications

- Experience building and deploying production-ready AI agents, RAG pipelines, or LLM-powered applications that interact with enterprise business data.
- Experience developing machine learning models for forecasting, segmentation, or pipeline and revenue prediction.
- Experience with APIs, data ingestion frameworks, and integrations across GTM technology platforms.
- Experience implementing data governance, role-based access controls, AI evaluation frameworks, and monitoring practices.
- Familiarity with data orchestration, transformation, and integration tools such as dbt, Airflow, or comparable technologies.
- Experience working with CRM, sales engagement, customer support, project management, and product usage data, including HubSpot, Gong, Jira, Zendesk, or comparable systems.
- Experience mentoring analysts and leading cross-functional projects.

📌 Associate Manager - GTM Analytics, Insights and AI (Hyderabad)
🏢 Kore.ai
📍 Hyderabad