Majesco-posted about 18 hours ago
$150,000 - $180,000/Yr
Full-time • Mid Level
5,001-10,000 employees

Majesco isn’t just riding the AI wave – we’re leading it for the P&C and L&AH insurance industry. Born in the cloud and built with an AI-native vision, we’ve reimagined the insurance core as a platform that lets insurers move faster, see farther, and operate smarter. As leaders in intelligent SaaS solutions, we’ve embedded AI and Agentic AI throughout our robust product portfolio of core, underwriting, loss control, distribution, and digital solutions so our customers can reimagine their business with real-time business insights, optimized operations, and enhanced business outcomes. Everything we build is designed to strip away complexity and let our clients focus on what matters: delivering exceptional products, experiences, and outcomes. In a world where change is constant, our native-cloud SaaS platform empowers insurers the agility to adapt to market and risk shifts quickly, reshape their operational cost structure, accelerate innovation readiness, and rethink how insurance can be done with the intelligence to stay ahead. With 1000+ implementations, we are the AI insurance leader that over 350 insurers, reinsurers, MGAs rely on to rethink how insurance can be done in today’s modern era of insurance. Break free from the past and build the future of insurance. About Majesco Majesco is a global leader in cloud insurance software solutions, empowering insurers to modernize, innovate, and connect with their customers in a rapidly evolving digital landscape. With a commitment to delivering cutting-edge technology and deep industry expertise, Majesco helps insurers transform their business models and drive growth. Position Summary Use Case Discovery & Prioritization Run assessments to identify and prioritize AI opportunities across presales and sales support (e.g., RFP automation, demo narrative generation, competitive insights, account research, content retrieval). Define business cases, success metrics, and ROI hypotheses for pilot and scale. Solution Design & Implementation Design end-to-end AI workflows using available platforms (e.g., genAI assistants, RAG over sales assets, CRM copilots, call intelligence, knowledge search). Partner with Sales Ops, RevOps, IT, and Security to integrate with core systems (CRM, CPQ, CMS/DAM, KM, ticketing) and enforce data access controls. Orchestrate pilots (MVPs), manage backlog, and drive production rollouts with change management. Content and Knowledge Enablement Curate, tag, and govern the knowledge base leveraged by AI (playbooks, case studies, win wires, RFx libraries, product/industry content). Establish feedback loops to improve content freshness, relevance, and guardrails for brand, legal, and compliance. Training, Adoption & Change Management Create role-based training for presales, AEs, BDRs, SEs, and partner teams; deliver live enablement and just-in-time guidance. Develop best-practice guides, prompts, and templates; run office hours and internal communities of practice. Governance, Risk & Ethics Define and enforce AI usage policies, data handling standards, and human-in-the-loop review for external content. Partner with Legal/InfoSec on privacy, model/data risk assessments, and vendor due diligence. Measurement & Continuous Improvement Instrument KPIs and dashboards; analyze adoption and impact; run A/B tests and iterate. Report outcomes and insights to sales leadership; scale successful patterns globally. As a member of a rapidly growing and dynamic organization, the successful candidate must be flexible and willing to take on new tasks and responsibilities as business needs evolve. The company reserves the right to vary, change, or update job duties and responsibilities based on business requirements. This role may require shifting priorities, learning new technologies, and contributing to projects outside of the initial scope.

  • Run assessments to identify and prioritize AI opportunities across presales and sales support (e.g., RFP automation, demo narrative generation, competitive insights, account research, content retrieval).
  • Define business cases, success metrics, and ROI hypotheses for pilot and scale.
  • Design end-to-end AI workflows using available platforms (e.g., genAI assistants, RAG over sales assets, CRM copilots, call intelligence, knowledge search).
  • Partner with Sales Ops, RevOps, IT, and Security to integrate with core systems (CRM, CPQ, CMS/DAM, KM, ticketing) and enforce data access controls.
  • Orchestrate pilots (MVPs), manage backlog, and drive production rollouts with change management.
  • Curate, tag, and govern the knowledge base leveraged by AI (playbooks, case studies, win wires, RFx libraries, product/industry content).
  • Establish feedback loops to improve content freshness, relevance, and guardrails for brand, legal, and compliance.
  • Create role-based training for presales, AEs, BDRs, SEs, and partner teams; deliver live enablement and just-in-time guidance.
  • Develop best-practice guides, prompts, and templates; run office hours and internal communities of practice.
  • Define and enforce AI usage policies, data handling standards, and human-in-the-loop review for external content.
  • Partner with Legal/InfoSec on privacy, model/data risk assessments, and vendor due diligence.
  • Instrument KPIs and dashboards; analyze adoption and impact; run A/B tests and iterate.
  • Report outcomes and insights to sales leadership; scale successful patterns globally.
  • 7+ years in presales, sales engineering, sales operations, enablement, or RevOps, with 2+ years implementing AI/automation solutions in GTM workflows.
  • Proven experience deploying genAI or ML-powered tools (e.g., knowledge assistants, proposal/RFP automation, call analytics, CRM copilots, RAG search).
  • Strong understanding of sales cycles (discovery to close), RFx processes, demo strategy, and proposal creation.
  • Hands-on skill with one or more: prompt engineering, vector search/RAG, LLM orchestration frameworks, analytics/BI, API-based integrations, or workflow automation.
  • Familiarity with data privacy, security, and compliance considerations in customer-facing content.
  • Excellent cross-functional leadership, stakeholder management, and change management skills.
  • Strong writing and communication skills; ability to create clear enablement content and train diverse audiences.
  • Experience in B2B SaaS or enterprise software; insurance/financial services domain knowledge a plus.
  • Exposure to CRM (e.g., Salesforce), CPQ, KM/CMS, DAM, call intelligence, and sales enablement platforms.
  • Experience measuring AI impact using product analytics and revenue KPIs (pipeline velocity, win rate, cycle time).
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