Software Engineer - Product
Listed by employer · Checked
Older posting · still listed ·
- Work arrangement
- onsite
- Employment
- FullTime
- Stated compensation
- USD 180,000–250,000 1 YEAR
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Requirements
1 with evidence8 unclear or unstated- Remote policy
- onsite
“Provider workplace type: onsite”
From employer posting metadata - Employment type
- FullTime
- Compensation
- USD 180,000–250,000 1 YEAR
8 fields not stated in this posting
- Employer sponsorship
- Not specified
- Geographic scope
- Not specified
- Degree requirement
- Not specified
- Security clearance
- Not mentioned
- Timezone / hours
- Not specified
- Citizenship requirement
- Not mentioned
- Minimum experience (years)
- Not specified
- Work authorization
- Not specified
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Original job description
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Who We Are
Koah Labs is building the ad network to power the next generation of AI-native products. Our mission is to help publishers monetize and help advertisers reach the right audience — without compromising speed, UX, or privacy.
We’re a small, tight-knit team in San Francisco with backgrounds at X, Apple, Meta and early-stage startups. We’ve raised from top investors and are growing fast with real traction on both the publisher and advertiser sides of the marketplace.
Working at Koah means joining at the ground floor: you’ll ship code that shapes the company and the ecosystem we’re building. We move quickly, operate with high trust, and care deeply about craft.
Our Stack
Infra: Terraform, AWS, LGTM (Loki, Grafana, Tempo, Mimir), Tailscale, Cloudflare
Data: PostgreSQL, ClickHouse, Redis, Kafka, Python
Core Application: Ruby on Rails, React, TypeScript
SDKs: iOS, Android, Web, Flutter, React Native
In this role, you will:
Help shape the foundation of our engineering organization
Lead initiatives across the stack, with high agency in product direction and technical design
Dive deeply into technically challenging and rewarding work, whether it is optimizing our matching algorithms or creating world class experiences that reach millions of users
Partner with cross functional stakeholders in data and GTM to drive product direction that our customers need
Embrace an experimentation mindset - we are constantly trying to learn about how users are interacting with AI-native products, and use data from these experiments to drive our work.
You might thrive in this role if you:
Have experience building and scaling production quality systems and experiences
Are comfortable working across the stack, tackling new tasks out of your comfort zone, and can handle ambiguity
Work well in-person and enjoy fast feedback loops
Enjoy breaking down problems and testing your hypotheses
Get excited about end-to-end ownership within high agency environments
Have been a startup founder or an early-stage engineer
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