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Design Researcher

Оценка ИИ

Интересная позиция в международной компании с сильной корпоративной культурой (B Corp) и фокусом на передовые технологии (AI First). Четко прописанные задачи и возможность влиять на методологию работы всей компании.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Роль требует глубоких знаний в Research Ops и владения инструментами автоматизации (AI). Необходимо уметь не только проводить исследования, но и выстраивать сложные операционные процессы и системы управления знаниями.

Анализ зарплаты

Медиана45 000 $
Рынок35 000 $ – 60 000 $
Оценка ИИ

Зарплата в объявлении не указана, но для позиции уровня Senior/Lead в области Research Ops в Мехико рыночный диапазон составляет от 60,000 до 95,000 MXN в месяц. Предложение PALO IT, как правило, соответствует верхнему децилю рынка для опытных специалистов.

Сопроводительное письмо

I am writing to express my strong interest in the Design Researcher (Research Ops & Insights Enablement) position at PALO IT. With a solid background in establishing research operations and a passion for integrating AI into the research lifecycle, I am excited by PALO IT's 'AI First' approach and its commitment to being a force for good.

In my previous experience, I have successfully scaled research workflows and managed complex tooling ecosystems including Dovetail and Maze. I am particularly drawn to this role because of the opportunity to build the operational backbone for mixed-method research and to leverage GPT-driven automation for insight synthesis. My approach aligns with your goal of moving from ad hoc studies to a continuous-learning system that informs strategic decision-making.

I am impressed by PALO IT's B Corp certification and its focus on sustainability. I am eager to bring my expertise in research governance, taxonomy, and stakeholder management to your Mexico City team and contribute to delivering high-impact digital products 2–3x faster.

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Составьте идеальное письмо к вакансии с ИИ-агентом

Составьте идеальное письмо к вакансии с ИИ-агентом

Откликнитесь в paloit уже сейчас

Присоединяйтесь к PALO IT и станьте архитектором инновационных процессов в области Research Ops, используя возможности ИИ!

Описание вакансии

Who We Are

Build. Scale. Sustain.

PALO IT is a global technology consultancy that crafts tech as a force for good. We design, develop and scale digital and sustainable products and services to unlock value across the triple bottom line: people, planet, profit. We do the right thing, and we do it right. We're proud to be a World Economic Forum New Champion, and a B Corp-certified company.

  • We are small enough to care locally, big enough to deliver globally (5 continents, 18 offices, +650 experts from +50 nationalities)
  • We are robust and resilient (100% independent and 0 debt)
  • We are entrepreneurs and passionate experts: We invest in what we believe genuinely and work as a collective intelligence
  • We are positive, courageous, caring, doers and committed to excellence

About Gen-e2

While the market is still largely AI-augmenting delivery, we have reinvented the SDLC to be AI First. Our approach is a game-changer in productivity and quality, with a strong collaboration between AI generative and our best talents:

  • We now generate 95% of the entire product — code, documentation, infrastructure as code, and even design — with GitHub Copilot
  • The quality consistently exceeds the output of our best traditional engineering teams
  • A product repository houses all product artefacts, giving AI full project context for higher-quality generation
  • A library of rules and prompts defines coding standards, design principles, and security guidelines

With Gen-e2, we deliver end-to-end products 2–3× faster than traditional approaches, while raising the bar for engineering excellence.

Your Role

As a Research Ops & Insights Enablement, you will establish, scale, and govern the Research Ops practice to enable continuous, reliable, and decision-oriented research across the organization. You will build the operational backbone that allows mixed-method research to happen with speed, rigor, and trust, while integrating AI as an accelerator for analysis and synthesis.

  • Define and scale the Research Ops model, including governance, standards, workflows, and ownership
  • Establish ethical standards, consent practices, research governance, and participant data management
  • Build operational systems for continuous discovery and ongoing research programs
  • Enable mixed-method research through structured triangulation of qualitative and quantitative signals
  • Design and optimize research workflows from intake and prioritization to repository, synthesis, and activation
  • Build and maintain the research tooling ecosystem, including platforms such as Dovetail, Maze, Looker, and Hotjar
  • Integrate AI-assisted analysis and synthesis, leveraging GPT and automation to accelerate pattern detection, summarization, and insight distribution
  • Create scalable systems for knowledge management, taxonomy, tagging, repository quality, and evidence retrieval
  • Define and track OKRs and KPIs tied to uncertainty reduction, decision quality, research adoption, and operational efficiency
  • Partner with Product, Design, Data, and Engineering to embed research into roadmap and decision-making cycles
  • Improve the speed, consistency, and usability of insights across teams
  • Act as a strategic enabler for research maturity, helping teams move from ad hoc studies to a trusted continuous-learning system

Who You Are

  • Proven experience in Research Ops, UX Research Operations, Insights Operations, or Research Program Management
  • Strong command of advanced mixed methods, including qualitative and quantitative triangulation
  • Solid understanding of applied statistics and decision-oriented research interpretation
  • Hands-on experience with research repositories and insight platforms such as Dovetail and Maze
  • Familiarity with analytics and behavior tools such as Looker and Hotjar
  • Experience using AI tools for research analysis, synthesis, and knowledge scaling
  • Strong understanding of research governance, ethics, consent, and operational quality
  • Ability to design scalable processes that support continuous discovery and democratized research access

Soft Skills

  • Strong critical thinking
  • Advanced synthesis and pattern recognition
  • Excellent stakeholder management
  • Strong analytical judgment
  • Ability to bring clarity in complex and ambiguous environments

More About PALO IT

We’re eager to adapt to change, learn from our experiences and move to meet our planet’s urgent needs. We are continuously taking action to:

  • Become a climate net-zero company
  • Deliver projects with a positive impact
  • Train 100% of our workforce on impact
  • Achieve B Corp certification among all our offices across the globe
  • Continuously measure & improve employee happiness

Our clients are amongst the world's most successful companies. We innovate with both established Fortune 1000s, SMEs and start-ups who aim to make an impact, become global leaders and address the world's most complex challenges.

What We Offer

  • Stimulating working environments
  • Unique career path
  • International mobility
  • Internal R&D projects
  • Knowledge sharing
  • Personalized training
  • Entrepreneurship & intrapreneurship

For more on our team culture and benefits,

Check out our careers page.

And our PALOCast with direct testimonies from our Palowans!

PALO IT is an equal opportunity employer that values merit, qualifications, and abilities. We prioritize privacy and data security. For more information on our privacy practices, please refer to our Privacy Policy.

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Создайте идеальное резюме с помощью ИИ-агента

Создайте идеальное резюме с помощью ИИ-агента

Навыки

  • Research Ops
  • UX Research
  • Dovetail
  • Maze
  • Looker
  • Hotjar
  • Generative AI
  • Data Governance
  • Mixed Methods Research
  • Knowledge Management

Возможные вопросы на собеседовании

Проверка опыта в построении процессов с нуля.

Опишите ваш опыт создания или масштабирования модели Research Ops в организации. С какими основными препятствиями вы столкнулись?

Оценка технической грамотности и готовности использовать ИИ в работе.

Как именно вы использовали ИИ (например, GPT) для ускорения анализа качественных данных или синтеза инсайтов?

Проверка навыков работы с инструментарием.

Расскажите о вашем опыте настройки экосистемы инструментов (Dovetail, Maze, Hotjar). Как вы обеспечиваете качество данных и удобство поиска в репозитории?

Оценка понимания этических аспектов.

Какие стандарты управления данными участников и этические протоколы вы считаете критически важными для современной исследовательской практики?

Проверка умения работать с кросс-функциональными командами.

Как вы интегрируете результаты исследований в циклы принятия решений продуктовых и инженерных команд, чтобы они не оставались 'мертвым грузом'?

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paloit
Страна
Мексика