Senior AI-Native Product Engineer (Mobile)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior AI-Native Product Engineer (Mobile): Building and shipping end-to-end mobile touring experiences across iOS and Android with an accent on turning ambiguous product ideas into shippable, instrumented solutions and improving them using production signals. Focus on native mobile execution, AI-assisted development workflows, and operational discipline across launch, monitoring, debugging, and iteration.
Location: Remote (USA)
Salary: $160,900.00 - $257,100.00 annually (base pay range varies by location)
Company
builds real estate experiences for buyers, sellers, renters, and home-related journeys.
What you will do
- Turn ambiguous product ideas into clear plans, tradeoffs, success measures, and shippable mobile solutions.
- Shape iOS and Android experiences with strong product and platform judgment.
- Partner with product, design, data, and engineering to refine requirements and improve customer experience.
- Build primarily in native mobile codebases, contributing to backend/API layers when needed to deliver the full experience.
- Launch features with testing, rollout, monitoring, and risk management; evaluate performance and customer behavior post-launch and iterate.
- Maintain high engineering standards through code review, design feedback, and mentoring.
Requirements
- Significant experience shipping production mobile applications on iOS or Android, with strong depth in one platform and ability/willingness to contribute to the other.
- Track record of owning features end to end—from ambiguous problem definition through launch and post-launch iteration.
- Strong product and business judgment, connecting technical decisions to customer impact.
- Practical experience using AI-assisted development tools or automation while maintaining accountability for quality, correctness, and customer experience.
- Comfort working across the stack when needed (mobile clients, APIs/services, and data-informed decision-making).
- Strong operational discipline: production support, monitoring, debugging, and using signals to guide improvements.
Culture & Benefits
- Remote role with no permanent corporate office workplace; U.S. employees may live in any of the 50 United States (limited exceptions).
- Base pay range depends on the state where the employee resides, with eligibility for equity awards.
- AI tools are part of normal execution, with engineers staying accountable for outcomes.
- Cross-functional collaboration across product, design, data, and engineering.
Hiring process
- Interview process focused on end-to-end feature ownership, mobile execution, and operational discipline.
- Evaluation of product judgment, technical decision-making, and how AI-assisted workflows are used while maintaining accountability.
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