MongoDB

Advisory Partner Solutions Architect

Senior · Гибрид · Индия · Английский B2

Навыки

  • AI-инструменты в работе
  • Проектирование архитектуры
  • AWS
  • Azure
  • C#
  • Data Lake
  • Распределённые системы
Ещё 13
  • Google Cloud
  • Java
  • JavaScript
  • Kafka
  • Kubernetes
  • Лидерство
  • Микросервисы
  • Machine Learning
  • Python
  • RAG
  • Роадмап
  • SOLID и паттерны
  • SQL

О компании и продукте

  • This role is ideal for someone who enjoys blending solution architecture, partner strategy, technical sales, and emerging technology. The strongest candidates will be comfortable operating at the intersection of customer outcomes, partner ecosystems, field enablement, and product innovation.
  • MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.
  • With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.
  • Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.

Задачи

  • Design scalable, secure, and high-performing application, data, and AI architectures using MongoDB Atlas for customer and partner-led solutions
  • Act as a trusted technical advisor to partners, sellers, and customers by guiding architecture reviews, modernization strategies, and deployment decisions across cloud and hybrid environments
  • Work on complex partner and ecosystem opportunities that require deep technical discovery, solution mapping, demos, proofs of value, sizing, and technical documentation
  • Build and refine joint partner offerings, integration patterns, quick starts, workshops, demos and reference architectures with hyperscalers, ISVs, and strategic ecosystem partners
  • Create reusable field assets such as demos, presentations, sample architectures, workshops, and technical guidance that help sellers and partners scale MongoDB adoption
  • Advise on modern AI application patterns including RAG, vector search, agentic workflows, and integration approaches across partner ecosystems
  • Support field and partner teams with implementation guidance, technical objections, and practical workarounds where product capabilities, frameworks, or documentation are still evolving
  • Collaborate with product, engineering, and partner teams to relay field feedback, influence roadmap conversations, and improve the quality of MongoDB integrations and partner experiences
  • Partner with account teams on territory and account planning, opportunity qualification, pipeline generation, and technical win strategy
  • Represent MongoDB externally through customer workshops, partner sessions, industry events, and thought leadership content
  • Mentor peers and help raise the bar for the broader Solutions Consulting organization through knowledge sharing and repeatable best practices
  • As an ideal candidate, you will have
  • Strong experience navigating complex sales cycles and aligning technical and business stakeholders across customers, partners, and internal teams
  • Experience designing distributed systems in cloud and hybrid environments with an understanding of scalability, resilience, and security considerations
  • The ability to translate technical architecture into business value for executives, architects, developers, and partner stakeholders
  • Experience working with one or more of the following: hyperscaler partnerships, ISV integrations, AI/ML applications, data engineering, platform modernization, or developer platforms
  • Strong presentation, communication, and interpersonal skills, with the ability to influence without direct authority
  • Familiarity with modern sales methodologies and strong collaboration with sales leadership
  • The ability to travel up to 25%
  • You may also have
  • Experience with database programming and data models
  • Experience in data engineering or AI/ML projects

Требования

  • 12+ years of experience in a customer-facing technical role, including significant pre-sales, consulting, partner, or solutions architecture experience in enterprise software
  • Hands-on experience with modern application development, data platforms, or cloud-native systems, including at least one scripting or programming language such as Python, JavaScript, Java, C#, or SQL
  • A demonstrated ability to create technical assets, lead workshops, and enable broader field teams with reusable content and repeatable patterns

Паспорт вакансии

История публикации

Появилась в Вакандии30 дней
Перепубликациинетпубликовалась один раз
Проверяли на источникеВидели 30 дней назад
Среди похожихдольше 34%сравнение с 239 вакансиями той же роли и грейда

Откуда что взялось

Отмечено то, что вывели мы. Без пометки — значение назвал работодатель.

ГрейдSeniorвыведено из другого признака
Формат работыГибридвычитано из текста вакансии
ГеографияИндиявычитано из текста вакансии
Зарплата≈ 16 589 USD в месяцнаша оценка, в вакансии не названа

Почему на этом месте в выдаче

Порядок выдачи объявлен контрактом: свежесть решает между днями, полнота и зарплата — внутри дня.

Полнота карточки1004 из 4 полей: грейд, формат, география, зарплата
Зарплата названа0вилки работодателя нет, показана наша оценка
Свежесть66свежее 66% похожих вакансий

Проверка Вакандии

Источники и свежесть

Тип источника
Карьерный сайт работодателя
Найдено публикаций
1
Посмотреть публикации и даты
  • greenhouseОсновная публикация · 2026-07-14

Работодатель

MongoDB

50 активных вакансий · вилка работодателя указана в 6%

Открыть профиль компании

Безопасность

Отклик уходит на сайт источника

Вакандия показывает вакансию, но не отправляет отклик и не проверяет работодателя. Сам отклик вы оставляете на внешнем сайтеmongodb.com.

Признаки мошенничества
  • Просят предоплату, «залог» или деньги за обучение и оборудование.
  • Требуют код из SMS, данные банковской карты или доступ к «Госуслугам».
  • Быстро уводят в мессенджер и торопят с решением.
  • Обещают большой доход без опыта и без деталей задач.

Настоящий работодатель не просит денег и платёжных данных до трудоустройства.

Продолжить поиск

Похожие вакансии

Причина сходства указана на каждой карточке