7 часов назад
Product Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Product Engineer (AI) (Fullstack/AI): Building AI-native products for global careers across reasoning, voice, search, workflows, video, and personalization with an accent on product-market fit, user behavior, and interaction quality. Focus on shipping products used by real customers, making fast decisions with incomplete information, and iterating across the full product experience.
Location: Bengaluru, Karnataka, India
Company
Builds products at the intersection of education technology and financial technology to support global career opportunities for students from emerging economies.
What you will do
- Build and ship AI-native products designed around model capabilities in reasoning, voice, search, workflows, video, and personalization.
- Develop products used by real customers, from initial prototypes through scaling and iteration.
- Make product decisions based on user behavior, incomplete information, and product-market signals.
- Work across the full product experience, including engineering, user experience, and interaction quality.
- Collaborate directly with the founders in a high-ownership environment focused on speed, clarity, and execution.
Requirements
- Strong full-stack engineering fundamentals and the ability to build complete product experiences.
- Experience building and shipping products with real users.
- Deep interest in AI models and tools, including hands-on experimentation and an understanding of model strengths and limitations.
- Strong product instinct: understand user behavior, choose what to build, and optimize for user experience.
- Ability to operate in ambiguity, learn quickly, iterate, and take high ownership.
- Graduation in 2023 or later is listed as a strong-fit signal.
Nice to have
- A live product, side project, prototype, or shipped experience demonstrating ownership and product thinking.
- Experience with product-market fit, scaling, experimentation, and go-to-market decisions.
Culture & Benefits
- High-ownership environment with direct collaboration with the founders.
- Mutual respect and a focus on resourcefulness and possibilities.
- Bias for action, calculated risk-taking, and data-informed iteration.
- Continuous learning, feedback, resilience, and a growth mindset.
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