Top Tech Jobs & Startup Jobs

Lead presales engagement for enterprise AI training solutions worldwide. Responsibilities include analyzing client requirements, designing customized curricula, delivering demos and presentations, supporting the sales funnel, developing proposals, and coordinating transitions to delivery. The role requires strong AI, Data Science, Analytics, cloud, and GPU expertise, along with the ability to translate technical capabilities into business value for diverse stakeholders.

Leads end-to-end HR operations, including recruitment, workforce planning, onboarding, employee engagement, performance management, learning and development, HRIS administration, compliance, policy creation, and people analytics. Partners with leadership to strengthen organizational culture, support managers, resolve employee concerns, and build scalable people systems.

Leads end-to-end development for scalable AV portals and products, manages engineering teams, designs cloud architectures, oversees infrastructure and deployments, conducts code reviews, researches technologies, mentors developers, collaborates with product managers, and deploys machine learning algorithms at scale.

Own product positioning, messaging, and conversion content for AI learning products. Lead website narratives, enterprise sales enablement materials, product launches, event decks, and executive communications. Partner with product, design, technology, sales, and leadership teams to improve adoption, conversion, pipeline generation, and market differentiation. The role requires strong product storytelling, business acumen, presentation skills, SaaS marketing knowledge, and experience with website and CMS workflows.

Design, develop, test, and maintain scalable software applications. Collaborate with product managers, architects, and engineers on technical solutions, system architecture, debugging, and Agile delivery. Mentor junior engineers, review code, improve software quality, and contribute to technical decisions. The role requires Python or Java expertise, backend frameworks, GraphQL, database knowledge, and familiarity with cloud, microservices, containers, CI/CD, and version control.

Build and deploy AI models and learner-facing features, including LLMs, embeddings, classical ML, RAG pipelines, vector search, and agentic systems. Prototype ideas rapidly, productionize reliable services, and develop evaluations, guardrails, monitoring, and A/B tests. Collaborate with product, design, and content teams to define success metrics and deliver AI-powered tutoring, recommendations, assessments, and content generation.

Creates accessible data science content on machine learning and deep learning, researches state-of-the-art techniques from open-source projects and journals, and develops and supports MOOCs covering data science, computer vision, machine learning, and NLP. The role requires Python, machine learning, deep learning, NLP, strong communication skills, and a six-month availability.

Lead talent acquisition strategy and end-to-end recruitment across AI, analytics, technology, and other critical domains. Responsibilities include workforce planning, talent demand forecasting, stakeholder management, niche hiring, market intelligence, compensation guidance, hiring governance, process improvement, and candidate experience. The role manages multiple requisitions and large-scale hiring programs while delivering against aggressive targets.

Leads enterprise B2B sales for Analytics Vidhya’s AI training and data-culture offerings. Responsibilities include developing sales strategy, acquiring strategic clients, prospecting, managing pipelines, engaging C-level and analytics decision-makers, preparing proposals, negotiating software licenses, closing deals, and achieving revenue and territory targets across India and international markets.