Head of Engineering, AI Platform

SAIL Platform in India starts with you. This is not a satellite team. You will own a charter, hire the engineers who deliver it, and be accountable for outcomes that customers feel.

The charter is the agent platform, and it has three arcs.

Internal agent platform. The foundation Starburst's own teams build agents on today, spanning the agent SDK, evaluation frameworks, guardrails, and model serving infrastructure. Your users are Starburst's own engineers, and their feedback lands in hours, not quarters.

Extending it toward customers. Take what proves itself internally and harden it for customer-facing use cases. That means multi-tenancy, security boundaries, and APIs stable enough to run in environments we do not control.

Observability. What an agent did, why it did it, what it cost, and how well it performed, for both audiences. Internal teams need it to debug and improve; external customers need it to trust agents with production workloads.

You serve two customer bases in sequence, internal agent teams first, external enterprises as the platform matures.

You will be a player-coach. In the first months you will build alongside the first hires you make. As the team grows, you will shift toward leading, but you will never be far from the code.

Own the agent platform roadmap, from internal foundation to customer-facing capabilities, and deliver it

Hire and grow a team of senior engineers in India, and set the technical bar through your own work

Make architecture decisions for the agent SDK, evaluation, guardrails, serving, and observability, with the internal-to-external evolution in mind from day one

Run the platform like a product in production, with an on-call rotation, incident response, and a culture of root-cause analysis over quick patches

Operate autonomously across time zones, making the call when counterparts are offline, documenting the reasoning, and aligning when they come back online

Work with US-based product, agent, and research teams as peers who shape decisions together, and with engineering leaders across Starburst to redefine how we build, test, and ship software with agents in the loop

Engage directly with enterprise customers when platform capabilities are on the line

You have led an engineering team through a full cycle, hiring it and raising the bar with each hire, shipping with it, and growing the people on it. Typically this means 10+ years of engineering with 3+ leading, but we weight the evidence over the years

You have built platform or infrastructure products that served multiple engineering teams, and you can talk concretely about the interface contracts, the adoption curve, and what you intentionally left out

You have run LLM systems in production and know the difference between a demo and a system enterprises trust. That includes the unglamorous parts of LLMOps, timeout and retry design, token cost discipline, latency budgets, capacity, and the different ways models fail

You can articulate what you adopted, what you waited on, what you built yourself, and why, in a field that changes every quarter

You are product curious. You ask who the user is and what they are trying to do before you ask what the architecture should be, and you have sat with users of what you built and changed course based on what you saw

Experience taking an internal platform external, turning something built for your own engineers into a product customers pay for

Experience with agentic systems, evaluation methodology, or LLM serving at scale

Comfort across Python and JVM ecosystems

Experience with data systems, SQL engines, or analytics products

Experience running multiple models behind one platform (proprietary APIs and open-weight, routing and gateways, per-model quirks), including deployments in regulated environments

Active presence in the ML/AI community in India (meetups, conferences, open source, writing), which helps us find great engineers and helps them find us

All-Stars have the opportunity and freedom to realize their true potential. By building alongside top talent, we’re empowered to take ownership of our careers and drive meaningful change. Anchored in industry-proven technology and unprecedented success, All-Stars are taking on the challenge everyday to disrupt our industry – and the future.

Our global workforce is supported by a competitive Total Rewards program that reflects our commitment to a rewarding and supportive work environment. This includes a variety of benefits like competitive pay, attractive stock grants, flexible paid time off, and more.

We are committed to fostering an intentional, inclusive, and diverse culture that drives deep engagement, authentic belonging, and an exceptional All-Star experience. We believe that diversity of thought, perspective, background and experience will enable us to own what we do, drive our success and empower our All-Stars to show up authentically.

Starburst provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.