Product Manager (R&D)
Yandex
26.11.2025
Rusya
Deneyim: 2-4 Yıl
Type of Work: Tam Zamanlı
Work Location: Hibrit
Job Description
Join our team in Shenzhen and help shape the roadmap for consumer charging products. You will identify opportunities, set product targets, coordinate teams, and improve commercial performance across the full lifecycle.
Tasks that await you
Market and opportunity Insights
You will track trends, user pain points, and competitor specifications to build a differentiated roadmap, identifying market opportunities to support fast feasibility-to-launch cycles. You will also use sales data, reviews, and service tickets to refine future builds and strengthen commercial results.
Product definition and target setting
You will translate market needs into measurable design and performance targets. You will also work with engineering to balance power density, BOM cost, safety certifications, and manufacturability.
Cross-functional execution
You will align R&D, sales, marketing, supply chain, and support teams to ensure the product is delivered on schedule, within budget, and at the required quality level.
Commercial performance management
You will monitor sell-through, margin, and inventory, and also adjust pricing, bundling, and EOL plans in real time.
We expect that you
- Have strong market insight in the charging industry and can size the addressable market, analyze competitors’ technology roadmaps, and convert unmet user needs into product opportunities
- Are skilled in using GfK, IDC, and review-scraping tools, and have experience managing the product lifecycle with relevant analytics tools
- Understand charging-industry technology trends and have solid knowledge of new technology principles, design processes, and manufacturing flows
- Can translate multi-scene use cases into design inputs and turn high-level goals into measurable PRD targets
- Have deep knowledge QC, UFCS, and VOOC protocols, are familiar with USB-IF certification, and understand air-transport (UN38.3), safety, and EMC standards
- Have a proven record of launching successful high-volume products
- Hold PMP or NPDP certification (preferred)
- Are fluent in spoken English
Benefits
Health
Enhanced medical insurance begins from your first month at Yandex. It covers health care services at clinics and hospitals, whether for emergency care, surgeries, routine visits in your home country or abroad, medical tests and diagnostics, dental care, accident insurance, etc.
Additionally:
- Corporate insurance plans for family members (children and spouses) on special terms.
- Mental health programs.
Growth
At Yandex, we have everything you need for continuous growth and learning: an internal educational platform, mentoring, and programs for both beginners and experienced leaders.
We also cover the cost of attending industry conferences — both as a speaker and as a participant.
Moreover, at Yandex, we have internal projects where our employees share their expertise, discuss complex topics, and analyze their project cases.
Sport
At Yandex's big offices, we have our own fully equipped gyms. There, you can work out independently or with a trainer.
Additionally:
- Free online fitness classes.
- Additional discounts at fitness clubs and/or other fitness providers.
- Reimbursement of sports competitions.
- Corporate sport form for official sports competitions.
At Yandex, we promote health and fitness and have sports clubs and communities. You are welcome to join the existing teams or groups or create your own.
You can join existing teams or create your own.
And more
- Flexible schedule
We don't have a set start and end time for the workday — work when it's convenient for you and your team.
- Hybrid format
Work where it's most convenient for you — for example, part of the week from the office and part from home.
- Everything for children
Medical Insurance plans, kids' days at the office, gifts for newborns.
Candidate Criteria
Language: İngilizce
Skills
About Company
About Yandex
Yandex is a technology company that builds intelligent products and services powered by machine learning.
