Head of Engineering

We currently focus on selling buyer intelligence to sales teams. We provide previously impossible insights about the buyers to our users, which help them personalize every interaction and build trustworthy connections that otherwise would not be possible. Gartner has listed us as one of the only 5 Sales AI products that enterprise sales teams should use. We are taught as part of coursework at universities like Indiana University and Baylor University. Our customers include enterprises like AWS, NextEra Energy, and Cushman and Wakefield; startups like Domo, AcuityMD, and Gitlab; and even the sales team at the legendary Manchester United. And we have just started!

Responsibilities:

• You will balance hands-on architecture with high-level program management, ensuring the team ships high-quality code on schedule.
• Build and Scale the Squad: Own the hiring strategy, interviewing, and onboarding to scale the India-based engineering team from 7 to 15+ over the next 18 months.
• Full People Leadership: Move beyond mentorship to full management. You are responsible for the health, happiness, and performance of the team, including appraisals, conflict resolution, and career progression for all engineers (junior to senior).
• Own the Delivery Timeline: Translate product roadmaps into executable engineering sprints. You are responsible for the 'when' and the 'how' of delivery, running sprint planning and stand-ups to ensure predictable velocity.
• System Architecture and Strategy: Own the system design and architecture of Humantic AI's full-stack applications (frontend and backend). You must ensure scalability for large-scale web/data products while delegating execution effectively.
• Cross-Functional Orchestration: Act as the bridge between Product, Design, and Engineering. Negotiate technical debt vs. feature development and collaborate with designers to verify feasibility and ensure a seamless user experience.
• Operational Rigor: Implement and enforce engineering best practices (CI/CD, QA processes, incident management) to minimize production downtime and ensure high code quality.
• AI Leadership: Utilize your expertise to work with LLMs and our unique 'Humantic-flavored Generative AI' personalization suite, ensuring our tech stack remains at the cutting edge.

Requirements:

• Ideally, 10+ years of experience in successfully building, deploying, and running complex, large-scale web or data products.
• Proven Management Experience: Demonstrated success managing a team of 5+ engineers for at least 2 years (managing timelines, performance, and hiring). You know how to transition a team from 'startup chaos' to 'structured agility. '
• Full-stack Authority: Deep expertise with JavaScript, Node.js, MySQL, and Python. You must have world-class expertise in at least one area but possess a solid understanding of the entire stack in a multi-tier environment.
• Architectural Track Record: Has built at least two professional-grade products as the tech owner/architect and led the delivery of complex products from conception to release.
• Program Management Skills: Ability to estimate complex projects accurately, manage stakeholder expectations, and hold the team accountable to deadlines.
• Creative Engineering: A creative mind with an uncanny sense of design thinking and principles.
• Values: Most importantly, the kind of values you have as a person.

What Matters Somewhat:

• Experience working with REST APIs, machine learning, algorithms, and AWS.
• Familiarity with visualization libraries and database technologies.
• Your reputation in the technology community within your domain.
• Your participation and success in competitive programming.
• Work on unusual/extraordinary hobby projects during school/college that were not a part of the curriculum.
• The school that you come from and organizations where you have worked earlier.