Location: Mumbai or Delhi Experience : 4–8 years in B2B SaaS Sales Role Overview As the Sales Leader– India , you will be responsible for building and scaling our B2B SaaS sales motion across enterprise and mid-market clients. This is a high-impact leadership role where you’ll own the sales strategy, drive revenue growth, and build strong client relationships. You will collaborate closely with the Founders, Product, and Marketing teams to expand our footprint across India and global markets. Key Responsibilities Client Acquisition & Revenue Growth Generate and close new business opportunities with enterprise and mid-market clients. Own the entire sales cycle — prospecting, pitching, negotiating, and closing. Open doors with your strong B2B SaaS/MarTech network . Partner with leading agencies, enterprises, and global brands to drive adoption of GEO/AEO solutions. Market Expansion Build and nurture relationships with key decision-makers (CMOs, Heads of Growth, Agency Leaders). Drive adoption of GEO/AEO solutions across industries. Identify partnerships and channel opportunities for long-term growth. Founder’s Partner in Sales Work closely with the founders to refine GTM strategy and positioning. Act as the face of the company in India at industry events and forums. Future Leadership Establish the sales playbook and processes. Lay the foundation for building a high-performing sales team as we scale. Requirements 4–8 years of experience in B2B SaaS / Enterprise Sales . Proven track record of closing high-value deals and hitting/exceeding targets. Excellent network with CXO-level decision-makers in India’s tech, digital, and enterprise ecosystem. Strong network with decision-makers in India’s tech, digital, and enterprise ecosystem. Knowledge of SEO / MarTech / AI SaaS is a strong plus. Excellent communication, negotiation, and relationship-building skills. Why Join Us? Lead end-to-end ownership of sales growth in one of the world’s fastest-growing markets. Work directly with founders on a category-defining AI SaaS product . Competitive compensation + performance-linked incentives Massive growth opportunity
Job Title: Machine Learning Engineer Location: Remote Experience: 2–3 years About Discovr AI Discovr AI is building the world’s first Generative Engine Optimization (GEO) Platform , helping companies track, analyze, and optimize their visibility across AI-powered search and recommendation engines like ChatGPT, Perplexity, Google AI, and Gemini . Role Overview We’re looking for a Machine Learning Engineer to design and deploy models that make sense of massive amounts of AI-driven data, extract insights from LLMs, and build intelligent systems that shape the future of AI visibility analytics . Key Responsibilities Model Development & Deployment : Build and deploy ML models to analyze AI search responses and detect platform-level trends. NLP & Intent Understanding : Develop natural language processing algorithms to interpret search intent, query classification, and citation patterns . Content Recommendation : Create recommendation engines for content and topic optimization based on AI search trends. Real-Time Monitoring : Implement real-time monitoring systems to track AI platform changes (e.g., search results, answer citations). Data Engineering (Bonus) : Build scalable data pipelines to collect responses across multiple AI platforms. Manage real-time data ingestion from ChatGPT, Perplexity, Google AI, etc. Create and maintain data warehouses handling millions of search queries and responses. Ensure data quality, consistency, and normalization across platforms. Required Skills & Experience Strong proficiency in Python for ML and data workflows. Experience with ML frameworks : TensorFlow or PyTorch. Hands-on experience with MLOps , including model deployment and monitoring. Familiarity with cloud platforms (AWS, GCP, Azure) for model hosting and data pipelines. Experience in API development for serving models in production. Bonus: Exposure to data engineering , ETL pipelines, and database management. What We’re Looking For A builder who thrives in early-stage startup environments . Curious about LLMs, AI search, and recommendation systems . Excited to work with large-scale real-time data across multiple AI platforms. Someone who takes ownership, experiments fast, and can ship end-to-end ML solutions . Why Join Us? Be part of a category-creating GEO platform at the intersection of AI, search, and data. Work with cutting-edge LLM and AI-driven ecosystems . Remote-first, flexible culture with a fast-moving team .