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Solution Engineer
Интересная позиция в стабильной AI-компании с мировым именем. Высокий балл обусловлен масштабом задач (5 млн запросов в секунду) и возможностью работать на стыке разработки и бизнеса.
Сложность вакансии
Роль требует сочетания глубоких технических навыков (SQL, Python/Java, API) и отличных коммуникативных способностей для работы с клиентами. Опыт в AdTech является критическим преимуществом из-за сложности экосистемы DSP.
Анализ зарплаты
Для позиции Solution Engineer с опытом 4-6 лет в Бангалоре рыночная вилка обычно составляет от 1.8 до 3.5 млн INR в год. Данная роль в международной компании уровня Aarki может предлагать зарплату по верхней границе рынка.
Сопроводительное письмо
I am writing to express my strong interest in the Solution Engineer position at Aarki (RZR Global). With over 5 years of experience in technical account management and a deep understanding of the AdTech ecosystem, I am confident in my ability to bridge the gap between your sophisticated AI-driven DSP infrastructure and your global clients. My background in Python and SQL, combined with extensive experience troubleshooting complex API integrations and data pipelines, aligns perfectly with the technical requirements of this role.
Throughout my career, I have excelled at translating complex technical requirements into scalable solutions for advertisers and partners. I am particularly impressed by Aarki's scale of processing 5M ad requests per second and would welcome the opportunity to apply my analytical skills to optimize campaign performance and drive product adoption. I am eager to bring my customer-first mindset to your Bengaluru team and contribute to the continued success of your Unified Creative Strategy.
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Описание вакансии
About Us
RZR Global is an AI company that builds advertising solutions to drive mobile revenue growth. We use AI to find audiences in a privacy-first world using trillions of contextual bidding signals coupled with proprietary behavioral models. Our audience engagement platform includes a full-service agency team and a Unified Creative Strategy that delivers ad creative ideation and execution. We have worked with hundreds of advertisers over 14 years and see 5M mobile ad requests per second from over 10B devices, driving performance for publishers and brands. The company is headquartered in San Francisco, CA, with offices in the United States, EMEA, and APAC.
Role Overview
The Solution Engineer will act as the technical bridge between Sales, Customers, and Product/Engineering teams. The role supports both pre-sales technical consulting and post-sales solution deployment and support, ensuring successful adoption of Aarki’s advertising platform.
The individual will help partners and advertisers integrate with Aarki’s DSP infrastructure, troubleshoot campaign or data issues, guide technical implementations, and provide technical insights that improve product adoption and customer success.
Key Responsibilities
Pre-Sales Support
- Partner with Sales teams to provide technical consultation during advertiser and partner onboarding.
- Translate customer requirements into scalable technical solutions using Aarki’s platform.
- Conduct product demonstrations and explain platform capabilities to internal and external stakeholders.
Post-Sales Technical Support
- Provide technical account management for advertisers and ecosystem partners.
- Troubleshoot campaign delivery, tracking, data ingestion, and integration issues.
- Ensure successful product adoption by guiding customers through integrations and technical setup.
Technical Implementation
- Support integrations with advertiser systems, data partners, attribution providers, and measurement vendors.
- Manage deployment of campaign features such as targeting, tracking pixels, audience ingestion, and reporting pipelines.
Internal Collaboration
- Act as liaison between Sales, Product, and Engineering teams.
- Escalate and document product issues impacting customer deployments.
- Provide field feedback to improve product capabilities.
Customer Success Enablement
- Monitor and analyze campaign performance and system metrics.
- Proactively identify optimization opportunities and technical improvements.
- Create documentation and best practices for technical implementations.
Required Skills / Experience
- 4 - 6 years of experience in Solutions Engineering, Sales Engineering, Technical Account Management, or other customer-facing technical roles.
- Experience working with AdTech / MarTech platforms or similar data-driven or real-time systems is preferred. Basic understanding of programmatic advertising, DSP ecosystem, or similar distributed platforms is preferred.
- Familiarity with at least one programming language such as Python, Java, or JavaScript.
- Strong SQL skills for data analysis, debugging, and troubleshooting, along with experience in PostgreSQL or MySQL.
- Experience with APIs, data pipelines, and system integrations.
- Familiarity with attribution, audience targeting, or data onboarding workflows is a plus.
- Exposure to mobile apps, SDK integrations, or tracking implementations is preferred.
- Experience using logs, dashboards, or analytics tools for monitoring and debugging along with analytical thinking and structured problem-solving ability.
- Customer-first mindset with the ability to communicate technical concepts clearly to non-technical stakeholders.
- Ability to work cross-functionally with Sales, Product, Engineering, and Customer Success teams.
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Навыки
- Python
- Java
- JavaScript
- SQL
- PostgreSQL
- MySQL
- API
- AdTech
- DSP
- Data Pipelines
- Real-time Systems
- Troubleshooting
Возможные вопросы на собеседовании
Проверка понимания предметной области AdTech и работы DSP.
Можете ли вы объяснить процесс RTB (Real-Time Bidding) и роль DSP в этой экосистеме?
Оценка навыков работы с данными и поиска неисправностей.
Опишите случай, когда вам пришлось использовать SQL для выявления причины расхождения данных в рекламной кампании.
Проверка умения объяснять сложные вещи простыми словами.
Как бы вы объяснили нетехническому клиенту, почему возникла задержка в передаче данных через API?
Оценка опыта интеграции сторонних сервисов.
С какими MMP (Mobile Measurement Partners) вы работали и какие типичные проблемы возникают при настройке постбэков?
Проверка навыков приоритизации в кросс-функциональной среде.
Как вы расставляете приоритеты, когда одновременно поступает критический баг от текущего клиента и запрос на пресейл-демо от отдела продаж?
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