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Prismforce, an AI-powered talent intelligence platform, seeks a Corporate Sales Manager to drive enterprise SaaS sales in India. The role focuses on acquiring new business and growing strategic accounts, engaging CHROs, HR leaders, and C-suite stakeholders in long-term partnerships.
You will navigate complex enterprise cycles, tailor proposals with product and solutions teams, and travel to client sites as needed. A strong SaaS sales background is essential.
Prismforce is a Vertical SaaS company revolutionizing the Talent Supply Chain for global Technology, R&D/Engineering, and IT Services companies. Our AI-powered product suite enhances business performance by enabling operational flexibility, accelerating decision-making, and boosting profitability. Our mission is to become the leading industry cloud/SaaS platform for tech services and talent organizations worldwide.
Job Title: Corporate Sales Manager (Enterprise SaaS)
Experience: 6-10 Years
Employment Type: Full-time
Employment Type: Full-time
Job Description - Corporate Sales Manager (Enterprise SaaS)
Location: Field Sales - Enterprise Accounts (India)
Prismforce is an AI-powered talent intelligence platform designed for services organizations to improve workforce productivity, skills visibility, and talent decision-making. By combining data, analytics, and AI, Prismforce enables enterprises to unlock workforce potential and drive strategic business outcomes.
We are looking for a Corporate Sales Manager - Enterprise (SaaS) to drive new business acquisition and strategic account growth for Prismforce. This is a field sales role focused on enterprise customers, requiring strong consultative selling skills and an established network within the HR Tech ecosystem.
The ideal candidate will have experience selling B2B SaaS solutions to CHROs, HR leaders, and business executives, with the ability to navigate complex enterprise sales cycles and build long-term strategic relationships.
Speech/NLP pipeline experience: ASR (Whisper, Deepgram), diarisation, transcript normalisation.
Vector databases: Qdrant, Weaviate, or Pinecone - semantic search, embedding pipelines.
ML model serving: ONNX, vLLM, TorchServe, or custom inference APIs.
Prior work in HR tech, edtech, or assessment platforms.
Open-source contributions or published technical writing.