Top Tech Jobs & Startup Jobs

Build Fermi AI’s growth engine for NEET and JEE exam preparation. Own positioning, go-to-market, performance marketing, acquisition funnels, activation, paid conversion, retention, referrals, partnerships, content, community, and brand trust. Establish attribution and analytics, test acquisition channels, manage compliance, hire the initial marketing team, and collaborate with founders, product, and academic teams. Success includes scalable customer acquisition, improved conversion and retention, organic growth, and a recognized brand among students and parents.

Own the full enterprise sales cycle for new Retail and Consumer Goods customers across North America. Build pipeline through outbound prospecting, industry networks, and partners; engage C-level stakeholders; lead consultative AI solution sales; develop ROI cases; close complex deals; and identify expansion opportunities. The role carries a $1M–$2M+ ARR quota, targets $100K–$500K ACV deals, and requires collaboration with founders, Product, and Engineering.

Lead cloud and platform architecture for scalable AI and SaaS systems. Design AWS multi-region infrastructure, HA/DR environments, Kubernetes clusters, networking, storage, and Infrastructure-as-Code. Bridge application engineering and infrastructure by reviewing architectures, improving backend performance, building platform tooling, mentoring engineers, and enabling cloud-native reliability. Own observability, incident response, root-cause analysis, and deployment automation while supporting security scanning and compliance alignment.

Own product positioning, messaging, launches, sales enablement, demand generation, and broader go-to-market strategy for AI and LLM solutions. Build qualified pipeline through paid channels, partnerships, growth experiments, and co-marketing. Partner with founders, sales, and product teams to optimize the funnel, track CAC and ROI, manage marketing attribution, and drive measurable pipeline and revenue growth.

Own the full product lifecycle for myRico, an AI teammate for software teams. Work with founders, engineers, and customers to identify valuable problems, prototype workflows, prioritize features, ship solutions, evaluate adoption, and iterate. The role requires customer research, product judgment, technical fluency around AI behavior and integrations, clear communication, and ownership from discovery through delivery. This position is based in Bangalore and requires five days per week in the office.

Counsel prospective students and clients, recommend suitable programs, generate new business, manage sales pipelines, conduct meetings, and close deals. The role owns the full counselling and sales cycle, achieves conversion and revenue targets, maintains CRM records, builds client relationships, and collaborates with marketing, admissions, and operations teams. Local travel across Delhi/NCR may be required.

Assist with designing, developing, deploying, and researching AI models and applications. Support data collection, preprocessing, analysis, product integration, code reviews, documentation, and quality improvements while collaborating with senior engineers. The role emphasizes strong fundamentals, practical AI/ML experience, open-source or user-facing project work, academic excellence, and teamwork.

Build and optimize multilingual ASR/TTS and voice-to-voice systems for conversational AI agents. Develop agentic RAG pipelines, LLM orchestration, self-learning agents, and guardrails supporting interruptions and natural pauses. Deploy scalable, secure, reliable ML systems in low-latency real-time environments while collaborating with product, engineering, and MLOps teams.

Research and write concise scripts for solo and guest podcast episodes, conduct in-depth guest and subject research, support outreach and coordination, and help shape editorial strategy. The role requires translating complex technical and interdisciplinary ideas into engaging narratives for broad audiences while aligning with the founder’s vision.

Own the production systems behind autonomous enterprise AI agents, including memory, orchestration, scheduling, model steering, latency, deployment, operator tooling, debugging, and benchmarking. Build reliable distributed or stateful systems using Python, shell, and TypeScript/Node.js. Apply strong engineering judgment to security, multi-tenant deployments, testing, observability, and AI agent limitations in a fast-moving startup.