Product Engineering Lead (QVAC) (100% remote)
Tether Operations Limited · Engineering · Lead · 1mo ago
Anyone, anywhere in the world can apply.
Applies on the original listing · via Himalayas
Who can apply
Read straight from the listing, so you know before you spend time on it.
Anyone, anywhere in the world can apply.
“Our team is a global talent powerhouse, working remotely from every corner of the world.”
Our team works remotely from every corner of the world.
- Async-first
- The listing doesn't promise async-first working.
- Contractor / B2B
- No mention of hiring international contractors or invoicing.
- Global stipend
- No home office or equipment budget mentioned.
- Annual retreat
- No company-paid get-togethers mentioned.
Read from the listing automatically. Always confirm the details with the company before you accept an offer.
About the role
As the Product Engineering Lead for QVAC, you will lead the teams building features and app experiences on top of Tether's local, privacy-first AI stack. Reporting directly to the CTO, you will own the technical architecture and engineering execution (~70%) while partnering closely with product managers (~30%) to shape features that perform reliably within real device constraints.
What you'll do
- Run app and feature engineering teams day to day, maintaining high shipping velocity and technical standards.
- Own the technical design of features and API surface between the core AI engine and consumer applications.
- Partner with product managers to shape roadmap priorities, scope buildable milestones, and challenge unfeasible specifications.
- Coordinate closely with AI research and deep tech teams on code reviews, design, and model inference integration.
- Mentor team leads to establish clear operating systems and grow engineering talent across squads.
- Utilize modern AI tooling and rapid prototypes to validate ideas before full engineering commitment.
What you bring
- Proven experience managing engineers or engineering leads who build and ship consumer-facing applications.
- Deep technical expertise in JavaScript and React.
- Intuition for applied AI and on-device constraints such as latency, memory, battery usage, and model size.
- Demonstrated product sense with the ability to partner effectively with PMs.
- Regular hands-on use of AI tools in day-to-day workflows.
- Excellent English communication skills with the ability to give and receive direct critique.
About Tether Operations Limited
Tether is a pioneering fintech company best known for USDT, expanding into peer-to-peer technologies, AI, sustainable energy, and digital education.
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