Member of Technical Staff (Early Expertise)

We are taking on an ambitious problem in a $100 billion market, and we are calling in equally ambitious people to join our mission: democratizing AI to power the ambition of every business to grow. We are looking for talented engineers early in their careers to help build an AI-native sales CRM from its earliest days, and to do the best engineering work of their careers.

About the opportunity

Dreamteam CRM is an AI-native CRM built on a conviction: as people and AI work together, the CRM must move from a system of record to a system of action. It captures customer conversations, reasons like a human and works with AI teammates. At Dreamteam, AI writes the code — our engineers configure the agents, direct their work and verify the output. As a Member of Technical Staff you will design, build and own production systems end to end, from product features to the infrastructure they run on. This is a rare early-stage opportunity to join the engineering team and help build the product from the ground up, with a very large market ahead of us. You will be joining a group of seasoned leaders who have built products and product lines from scratch and scaled them to multiples of millions in revenue, with real strength across every function. We are deliberately assembling a superstar team, to go behind an ambitious problem to solve. The bar to get in is high, and that is the point.

We are backed by top-tier, world-class AI investors whose past bets include Anthropic, Cursor, Higgsfield, Hippocratic, Hugging Face, and Galileo.

The product is evolving fast as the AI landscape is evolving. You will not inherit a roadmap and a backlog. You will help decide what we build and why, work directly with customers and founders, and see your decisions ship in days, not quarters.

If you want to build something that does not exist yet, with people who hold a very high bar, read on.

How we work (this part is different)

• AI-native, for real. Our product is a set of AI teammates that do real sales work, not features bolted onto a CRM, and we build it the same way. AI writes most of the code; our engineers configure the agents, direct their work and verify the output. Using AI well is part of the craft here, not a side skill.
• Formless, judgment-heavy. We are killing the form-filling, admin-heavy CRM. Most of our hard problems have no playbook to copy, so judgment carries a lot of weight: where to build incrementally and where to re-architect from scratch.
• High ownership, low process. A small but high-quality team, trust by default, and a lot of surface area to cover. You own a system, not a ticket queue.

Everyone at Dreamteam is a Member of Technical Staff. We have no levels and no layers of management between you and the work. Our team ranges from engineers who joined straight out of school to architects with 15 years of experience, and every one of them is trusted with real ownership. Senior engineers lead through the quality of their decisions and the people they help grow, not through title.

What the role entails

• Product features. Take features from concept to production, test them rigorously and monitor their performance after release.
• Systems and infrastructure. Design scalable, reliable systems and take responsibility for them in production, including their architecture, AWS infrastructure, Kubernetes deployments, observability and incident response.
• Model evaluation. Evaluate new AI models shortly after release and report on how they affect cost, speed and quality.
• Internal tools. Build bots and agents integrated with GitHub, Linear, Slack and our internal data, such as a tool that turns a half-day investigation into a fifteen-minute task.
• Agent readiness. Maintain the rules, hooks, sub-agents and CI checks that enable AI agents to take on a growing share of our engineering work, and refine them whenever an agent makes a mistake.

What we are looking for

• 1 to 4 years of full-time software engineering experience. Projects, internships and hackathons are all accepted as evidence of your work.
• Hands-on experience preparing a codebase for AI agents, including rules files (CLAUDE.md, AGENTS.md, Cursor rules), hooks, sub-agents and CI checks that other developers rely on.
• A working practice in which AI writes most or all of your code, supported by a disciplined approach to reviewing and testing it.
• A portfolio of projects built with AI, at least one of which can be shared through a link, a repository or real users.
• Close familiarity with recent AI model releases, and first-hand experience of how they have changed your work.
• The ability to discuss failures as candidly as successes, and to explain what you learned from them.

This role is based in our Chennai office, five days a week.