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Rounds/Videoclaw/Harness Engineer·#58564
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AI·Seed·San Francisco, California

Harness Engineer

at VideoclawAI
Location
San Francisco, California
Salary
$200,000 - $300,000
Type
Full-Time
TL;DR
  • Founding eng, harness engineering the 100% must
  • T-shaped generalist
  • What you've built >> pedigree
  • Creative side a bonus
About Videoclaw
VideoClaw is a SF startup building an AI-native video-creation tool — a Mac app where you type a prompt (works with Claude / ChatGPT) and get a finished video back, using your own GPU to keep it fast and cheap. Founded by Khailee Ng — a Malaysian-born creator-turned-operator who built his country's largest news company and a Groupon clone (acquired in ~4 months), then spent 13 years scaling 500 Global from ~$29M to a $2.4B venture platform (still an owner/board member) — VideoClaw is his return to building. Backed quietly by a handful of marquee names he'll only disclose to a hire at the very end. The core team is three: Khailee (vision, fundraising, product/culture), Joseph Chin (all primary product + tech decisions), and Sam Yee (COO/ops, hiring, field marketing). The thesis, in three parts: (1) drop the cost of creating video low enough and far more people create; (2) video is the world's most widely understood language but few can speak it — VideoClaw lets everyone speak it; (3) win on simplicity and cost efficiency, not $200-in-3-days generation. The wedge is "content engineering," not content creation — the first ICP is developers/technical people (the ~100M+ people vibe-coding on Replit/Lovable/Bolt who need demo, trailer, and marketing videos for what they build), plus GitHub-project and SaaS-testimonial video. The philosophy: every video you want already exists on the web or your phone — pull those in and edit locally, and only generate the ~1/10 of shots you're missing. Just launched the Mac app (~a week ago) with strong early retention.
Seed • 1 – 10
Stage & size
AI
Industry
2026
Founded
About This Role

The Founding Engineer owns and builds the core product while Joseph pushes the leading/experimental edge — the two are a redundancy pair who cover for each other. The absolute must is harness engineering: this is a "content engineer / harness engineer" role, not a traditional software-dev one. The mental shift Khailee wants: a normal engineer sees a bug and goes fixes it; this person designs a system that improves itself — e.g., every user feedback click logs a screenshot + full error context, and a standing agent takes the nightly error logs, fixes things itself, and reports back what it improved for review. They must be deeply plugged into the frontier of models (niche/Hugging-Face models good at X or Y) and know how to integrate them so it feels seamless to the user, and eventually liaise closely with the ML hire to train small on-device models for parts of the creative pipeline (e.g., a brief-taking agent, a QA agent).

Profile shape: a T-shaped, well-rounded generalist (solid front and back end, not hyper-specialized) whose deep spike is harness engineering — a "natural-language genius" who holds the whole thing in their head, not a tech leader/manager. The next six months are about four levers on the core product: bring down the time a video takes (currently ~15 min to 13 hrs; use faster models, show quick in-between drafts for dopamine), increase the dopamine/magic (integrate the best niche models), bring down cost per video (voice-clone+lip-sync renders at ~1/10 cost, cache repeated web searches), and build the self-improving/recursive harness for stability. What matters most to Khailee: what they've built — someone who's "gone through the fire" of something similar (core engineer on a comparable product, core contributor to a relevant open-source project).

What You'll Own

  • The core product end to end, paired with Joseph (redundancy — cover for each other)
  • Harness engineering — designing self-improving systems (nightly error-log-driven agent that fixes and reports back), not just fixing bugs
  • Integrating frontier/niche models (Hugging-Face, model-per-task) so the pipeline feels seamless and fast
  • The four six-month levers: cut time-to-video, raise dopamine/magic, cut cost per video, build recursive stability
  • Liaising with the ML hire to train small on-device models (brief-taking agent, QA agent, etc.)

Requirements

  • Harness engineering — a 100% must (the deep spike; the whole role hinges on it)
  • T-shaped, well-rounded generalist — solid across back end and front end, not hyper-specialized
  • Deeply plugged into the frontier: niche/open-source models, model integration, agentic pipelines
  • A "brainiac" IC who holds the system in their head — not a tech-lead/manager profile
  • Has built something similar and "gone through the fire" of it (core engineer / core OSS contributor on a comparable product) — company/school irrelevant

Execution and Ownership

  • Thinks in self-improving systems, not one-off fixes
  • High agency, intense, all-in; genuinely interested in the video/creation problem (intrinsic motivation is screened for)
  • Low ego ("non-positional" — builds shared understanding, doesn't defend turf)
  • New-school engineer who harnesses AI to get the job done, not an old-school "do it all by hand" one

Background

  • Slope/craft over seniority — explicitly not the "18 years, led 90 people" old-school/scale profile
  • Newer-school audience welcomed; what they've built >> pedigree
  • Renaissance/creative differentiator (nice-to-have, not required): also expresses a creative side — plays an instrument, makes content, real artistic intuition — a strong tiebreaker among equals (but they have enough creatives; competence first)

Who Will Thrive Here

  • A harness-engineering specialist who designs self-improving systems and lives at the model frontier
  • A T-shaped generalist IC who holds the whole core product in their head — not a manager
  • Someone who's built something similar and went through the fire of it
  • All-in, intense, low-ego, in a concentrated-intent life phase; weekends-on
  • Bonus: a genuine creative (instrument, content) who intuits the art side as well as the engineering
Job Details
Experience
3-8 Years
Salary
$200,000 - $300,000
Equity
0.1% - 0.7%
Visa Sponsorship
Yes
Employment Type
Full-Time
Work Arrangement
In office
Work Intensity
9-9-6
Benefits & Perks
Amps Up On Free
Green Flags
Core engineer / core OSS contributor on a comparable AI-video or creative-tooling product
Solo-built a real AI product (RAG/agentic, like the DocuAsk archetype)
Demonstrated self-improving/agentic-harness systems
Red Flags
No real harness-engineering depth (auto-fail)
Old-school/hyper-scaled eng-leader profile; wants to manage, not build
Hyper-specialized in one narrow area; big front/back gaps

Required Candidate Q&A

Question 1
Are you able to work full-time in office in SF?

Candidate scorecard

· 6 criteria
Real harness-engineering depth (the 100% must)
T-shaped generalist — solid back + front end, not hyper-specialized
Plugged into the model frontier; integrates niche/OSS models seamlessly
Rounds · Confidential to recruiting partners · Last refreshed Sep 22, 2026