VP of Technology

We are looking for a VP of Technology to own the technology vision, architecture, and engineering of the industrial AI platform. You will lead a cross-functional engineering organization, stay hands-on where it matters, and bring the judgment of someone who has built and scaled a product from 0 to 1 at an early-stage startup before. This is a senior leadership role reporting to the founders; you will set technical direction, build and grow a high-performing team, and be directly accountable for the reliability, scalability, and quality of everything we ship.

Responsibilities:

• Own the technology strategy and architecturemaking the key build vs. buy, stack, and scaling decisions.
• Lead, grow, and mentor a cross-functional engineering team, hiring, structuring the org, and raising the technical bar as the team scales.
• Stay hands-on where needed to review architecture and code, unblock the team on hard technical problems, and set the engineering bar by example.
• Drive the integration of AI/ML capabilities into the core product, working closely with the AI/Data Science team.
• Own cloud infrastructure and cost on AWS, balancing performance, reliability, and spending as the platform scales.
• Partner closely with Product, Sales, and Customer Success to translate business priorities into technical roadmaps and trade-offs.
• Own engineering delivery predictability, sprint planning, release cadence, and production reliability (SLAs, incident response).
• Represent engineering to leadership and, where relevant, to customers and investors, communicating technical direction and progress clearly.

Requirements:

• B. Tech from a Tier 1 college.
• 8+ years of overall software engineering experience, with prior experience in a VP of Technology/engineering leadership capacity at an early-stage startup.
• Proven 0-to-1 experience building and scaling a product from the ground up in a startup environment.
• Extensive hands-on expertise across AWS cloud, Java, React.js, SQL, and MongoDB.
• Strong exposure to AI/ML; understands how to integrate ML/AI capabilities into a production product.
• Team handling experience: has hired, structured, and led engineering teams and is comfortable being accountable for their output.