Head of Engineering

Parallelz

$130K — $180K *
Consumer Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years in senior engineering leadership roles (VP, Head, or Technical Director) or as a Principal/Staff IC with architectural ownership.
  • Proficiency with AI coding agents, LLM tooling, and agent systems, plus the ability to evaluate their effectiveness.
  • Experience fostering team-wide adoption of AI-native workflows.
  • Background in startup environments with a focus on innovation and rapid product development.
  • Strong problem-solving skills and commitment to leveraging AI and automation in engineering.
  • Excellent communication skills, proficient in hybrid work environments.

Responsibilities

  • Own the architectural design and technical roadmap across products and infrastructure, ensuring scalability and reliability.
  • Lead and develop a small, senior team of engineers, enhancing their expertise across diverse technical areas.
  • Recruit and cultivate a highly skilled, mission-driven engineering team with a focus on AI-native practices.
  • Champion an AI-native engineering culture by integrating AI tooling across engineering processes.
  • Provide hands-on technical guidance to senior engineers during critical issues.
  • Promote effective collaboration and information sharing through AI-leveraged workflows.
  • Foster a culture of first-principles problem-solving among engineers.

Benefits

  • Group Retirement Savings Plan matching and participation
  • Comprehensive benefits package (health, dental, vision) with wellness spending account
  • Generous time-off policies
  • Access to leading AI tools and platforms
Full Job Description
You will be getting in at a pivotal stage, owning the technical strategic roadmap, building a world-class technical team, and working in a small, agile, flat organization to evolve our R&D initiatives into a live, scaled operational platform that will have an impact across the industry.

As Head of Engineering, you will lead a small, senior team of graphics, systems, and platform engineers building deeply technical infrastructure: browser-native runtimes, GPU-accelerated rendering pipelines, low-latency streaming, and the cloud backbone behind it. You will own the technical roadmap end-to-end and partner closely with the CEO to translate product priorities into clear architectural direction.

Parallelz is an AI-native organization. We are not looking for a leader who tolerates AI tooling. We are looking for one who runs on it. You should already think of agentic systems and LLM-based tooling as a core part of how you architect, ship, debug, and review software, and you should be able to push that culture and discipline through an entire engineering team.

Key Responsibilities
  • Own the architectural design and technical roadmap end-to-end across the product and our cloud-based infrastructure, partnering closely with the CEO to translate business and product priorities into clear technical direction while ensuring scalability, reliability, and cost efficiency.
  • Lead and grow a small, senior team of engineers working across graphics (WebGL, WebGPU, OpenGL ES), Android/Linux internals, browser engines, network programming, WASM, WebRTC, DevOps, and cloud.
  • Recruit, hire, and develop a world-class, mission-driven technical team, with a high bar for AI-native working style as a baseline expectation, not a bonus.
  • Champion and operationalize an AI-native engineering culture: integrate agentic and AI tooling into design, code, review, testing, debugging, and ops; define the patterns, guardrails, and quality bars that let the team move at AI-accelerated velocity without losing rigor.
  • Provide hands-on technical guidance to senior ICs, going deep with the team when problems warrant it.
  • Facilitate collaboration and information sharing across a hybrid team, with a strong bias toward written, asynchronous, AI-leveraged workflows.
  • Promote a culture of first-principles problem-solving where engineers understand every layer of the systems they touch.
  • Own the candidate and employee lifecycle for direct reports: hiring, onboarding, goal-setting, performance management, and career development.

Requirements

Must Haves:
  • Prior experience in a senior engineering leadership role (VP of Engineering, Head of Engineering, Director of Engineering, Engineering Manager, Technical Director), or a Principal/Staff IC role with proven architectural ownership of a complex software product.
  • Deep, daily fluency with AI coding agents, LLM tooling, and agentic systems, with a clear point of view on where they help, where they fail, and how to verify their output.
  • Track record of driving team-level adoption of AI-native workflows, not just personal use.
  • Experience in a zero-to-one, venture-backed startup environment.
  • A passion for invention and a track record of building innovative emerging technologies with strong R&D foundations.
  • Track record of shipping live products under rapid iterative development.
  • Strong believer in smaller, more senior, highly collaborative teams enabled by aggressive automation and AI leverage.
  • Excellent written and verbal communication, with the ability to operate in a hybrid environment.


Nice to Haves:
  • Hands-on background or leadership experience in deeply technical, performance-critical software: graphics programming (WebGL, WebGPU, OpenGL ES, Vulkan, game/browser engines), low-level systems (C/C++, AOSP/Android, Linux internals), WASM, WebRTC, or real-time streaming.
  • Experience managing and scaling cloud-based production infrastructure on AWS and/or GCP, alongside familiarity with modern DevOps practices.
  • Background in advanced compression, video encoding, AdTech, or Mobile SDK ecosystems.
  • Technical product management experience.
  • Graduate work and/or a research background in a related area.

Benefits
  • Group Retirement Savings Plan matching and participation
  • Comprehensive benefits package (health, dental, vision), including Health and Wellness spending account
  • Generous time off policies
  • Access to leading AI tools and platforms

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