CX Learning & Development Coordinator (Ai Solutions)
Didi
Software Engineering, Data Science
são paulo, state of são paulo, brazil
CX Learning & Development Coordinator (Ai Solutions)
- Category
- Customer Experience
- Employee Class
- Regular
Company Overview
If you see technology as a way to smooth your path in life, our team does too: Your Path, Our Journey.
We believe in technology that connects talented people who embrace diversity to create and share paths we don't even know about (yet!). We work to generate value not only for our users but, above all, for the communities we serve and for society as a whole, making every day better for everyone with mobility and delivery services (99) or digital payments (99Pay).
To make life easier for millions of people every day, since 2018, we have been part of DiDi DiDi Global Inc., the world’s leading mobility technology platform. We are pioneers in creating innovative solutions that start in Brazil and scale up to make a positive impact in more than 12 countries where DiDi operates. This innovation encompasses sustainability, safety, artificial intelligence, financial markets, and much more.
Whether building projects from scratch or improving our solutions, we enjoy challenges that give us butterflies, which is why we work at a fast pace with respect, collaboration, and good humor. Along this journey, we also draw strength from diverse experiences and opinions to grow together, fail quickly, learn, and adjust the course to create solutions that deliver even better results.
#LI-HybridTeam Overview
As a Senior Specialist within the Central L&D team, you will act as a strategic integrator between technology and operations. In this role, you will not work in a silo; instead, you will collaborate closely with the Quality Assurance (QA) team to enhance existing AI projects.
Your mission is to ensure that technological innovation has a clear execution path toward learning and performance improvement. We are looking for an "AI-First" mindset—someone who can navigate the intersection of quality data and pedagogical solutions, ensuring that every technical advancement directly addresses operational gaps in an agile and measurable way.
Role Responsibilities
- QA & L&D Synergy: Partner with the QA team to analyze findings and trends, ensuring that existing AI projects are leveraged to proactively address identified operational gaps.
- AI Project Collaboration: Actively participate in current AI initiatives, providing an L&D perspective to optimize digital literacy and tool adoption across teams.
- Accountability Culture: Drive an "AI-First" mentality, empowering teams to be critical, ask better questions, and raise the bar for technology usage in their daily workflows.
- Technical Discovery: Conduct hands-on discovery with real users (agents and supervisors) to understand how AI tools can improve their processes and translate these findings into clear technical specifications (Specs).
- Data Synthesis: Use SQL to connect the dots between operational data and the impact of learning solutions, transforming ambiguous information into structured frameworks.
Role Qualifications
Basic Qualifications
- Collaborative Mindset: Proven experience working within multidisciplinary teams, with the ability to align objectives between technical and operational stakeholders.
- Data Engineering (SQL): Ability to write complex queries (joins, window functions, aggregations) independently in environments like BigQuery or Hive.
- AI Tooling: Experience with platforms such as Claude Code, Dify, DeepSeek, or Gemini.
- AI Implementation: Experience working with AI Agent architectures or automated systems in real-world production environments.
- Technical Communication: Full professional fluency in English to read technical documentation, write specifications, and collaborate with international stakeholders.
- Synthesis Speed: Strong ability to navigate ambiguity and produce structured execution frameworks quickly.
Preferred Qualifications
- Project Management: Familiarity with agile methodologies and managing cross-functional deliverables.
- BI Visualization: Experience building automated reporting in Looker, Metabase, or Power BI.
- L&D Fundamentals: Knowledge of adult learning principles or instructional design (highly valued but not mandatory, as we can mentor you here).
- CX Operations Experience: Solid understanding of Customer Service dynamics, including QA processes and performance metrics (CSAT, AHT, etc.).
EEO Statement
- We create customer value – We strive to always create valuable experiences for our users in everything we do. Our focus is to always innovate new experiences that are safe, pleasant, and efficient.
- We are data-driven – We are strong believers in making informed decisions, that’s why we are data-driven. We can better navigate the business landscape strategically by analyzing valuable metrics.
- We believe in Win-win Collaboration – Success is a team sport. When we work to help our partners and colleagues win, we win, too. While keeping everyone's best interest at heart, we communicate with candor and execute with excellence in all we do.
- We believe in integrity – Integrity is at the very core of our business. We are people who always want to do the right thing. Our intentions are sincere, we speak our minds and listen to each other.
- We always strive to do better. That means venturing beyond our comfort zones, learning from our mistakes, and helping each other grow.
- We believe in Diversity and Inclusion – Diversity is one of our biggest strengths. Our differences are what makes us distinct. We respect each other and believe in equal opportunities for all.
Diversity is not a future vision or a wish for something we want someday; it is a non-negotiable value of who we are today.
We embrace inclusion, plurality, and respect, and to achieve this, we rely on the governance of the Diversity Committee, which works alongside HR, our leadership, and identity groups—99Adapta, 99Afro, 99Colors, 99Womem, and 99Familys.
This is our ongoing journey, with much more still to come.
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