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Technical Lead, Applications
- Palo Alto, California, United States
- Palo Alto, California, United States
About
You are responsible for the engineering systems, teams, and execution that turn ML capability into reliable, fast, and intuitive user experiences across backend, mobile, and desktop platforms.
Focus
Own the application engineering strategy and execution across backend, mobile, and desktop.
Lead and grow a small, senior applications team, including backend, mobile, and desktop engineers.
Set the architectural direction for AI-powered product workflows, APIs, and client integrations.
Ensure AI capabilities are integrated into the product with clear abstractions, predictable behavior, and graceful failure modes.
Partner closely with Machine Learning leadership to translate model capability into shippable product features.
Make high-impact decisions across latency, cost, reliability, security, and user experience.
Establish a strong execution culture through code reviews, design reviews, and hands‑on technical leadership.
Ensure production readiness: observability, monitoring, retries, fallbacks, privacy, and cost controls.
Balance speed and discipline — shipping quickly without compromising long‑term system quality.
Ideal Experiences
Significant experience leading application or product engineering for complex systems.
Strong hands‑on background building and shipping backend systems used in production.
Experience delivering AI‑powered products, with a deep understanding of model integration trade‑offs.
Excellent system design skills across services, APIs, clients, and data flows.
Comfort operating across platforms (backend, mobile, desktop), even if your depth is in one.
Proven ability to make high‑impact technical decisions under ambiguity.
A strong bias toward shipping, iteration, and learning from real‑world usage.
Move fast without breaking fundamentals.
Compensation Range $347K — $490K
How We Work Our organization is very flat and our team is small, highly motivated, and focused on engineering and product excellence. All members are expected to be hands‑on and to contribute directly to the company’s mission.
Interview process If there appears to be a fit, we’ll reach to schedule 3, but no more than 4 interviews.
Applications are evaluated by our technical team members. Interviews will be conducted via virtual meetings and/or onsite.
We value transparency and efficiency, so expect a prompt decision. If you’ve demonstrated the exceptional skills and mindset we’re looking for, we’ll extend an offer to join us. This isn’t just a job offer; it’s an invitation to be part of a team that’s bringing AI to have practical benefits to billions globally.
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Languages
- English
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