
AI Data Engineer
Há 7 dias
Must be based in Rio de Janeiro or Caxias do Sul, Brazil
$44,000 USD Equity & Benefits
TestBox was founded with a bold mission: to fundamentally transform how software is bought and sold. We're building an innovative platform that empowers buyers with transparent, interactive software experiences, while equipping sellers with powerful tools to deliver exceptional buying and onboarding journeys. Our core technologies - synthetic data, intelligent orchestration, and our unique product graph - help teams achieve faster implementations, clearer insights, and increase trust with their customers.
At TestBox, we're not just improving demos; we're building the next generation infrastructure for software transactions, creating seamless experiences from initial interest to successful onboarding and beyond.
We're a fast-growing startup built by a team that values experimentation, velocity, and customer impact. We're backed by world-class investors and are building a platform that's disrupting the traditional B2B sales motion.
Role OverviewWe're hiring our first dedicated AI Data Engineer to partner with our growing Solutions Architecture team. You'll be the go-to expert for crafting, transforming, and operationalizing demo-ready datasets that fuel our most complex customer environments.
You'll work hand-in-hand with Technical SAs (based in Brazil) and Customer-facing SAs (based globally) to bring product stories to life through clean, smart data. You'll unblock implementation roadblocks, speed up delivery, and enable better customer storytelling.
This is a builder role, not a maintenance role. You'll help define what great looks like and establish the blueprint for future team growth.
- Design and build high-quality, fictional datasets across industries and personas
- Transform structured inputs (e.g., CSVs, JSON, Postgres etc.,) into usable tables and mock user behavior
- Translate technical specs into production-ready data for each customer implementation
- Collaborate with Technical SAs to build and QA environments
- Own the most complex and reusable data transformations across all implementations
- Set up systems that scale data work across customers without duplicating effort
- Maintain and improve internal tools/scripts for dataset generation and transformation
- Identify opportunities to templatize common needs and speed up implementation velocity
- Partner with Engineering and Product teams as needed to expand automation capabilities
- Join grooming, standups, or async updates with Technical SAs and CE leads
- Provide guidance and unblock Technical SAs on advanced data modeling issues
- Ensure each SA pod is shipping environments with best in class data stories
- You're resourceful, structured, and detail-obsessed
- You love solving technical puzzles and designing clean, elegant data systems
- You work well with ambiguity and are excited to shape a new role in a fast-moving startup
- You communicate clearly across technical and non-technical teams
- 3–6 years in Data Engineering, DataOps, Solutions Data, or equivalent roles
- Strong skills in data transformation using Python, SQL, or scripting tools
- Experience working with APIs, automation platforms, and data formats (CSV, JSON, etc.)
- Familiarity with GTM tools (CRM, support, marketing platforms) or sandbox/test environments
- Bonus: Experience using AI for synthetic data generation
- Bonus: Experience in pre-sales or implementation engineering environments
- Shape a high-impact role from day one
Accelerate how world-class GTM teams build and tell stories with data - Use AI tools, internal platforms, and automation daily
- Join a company obsessed with customer experience, speed, and scale
- Generous equity package for meaningful ownership
- Prioritization of your professional growth, with dedicated career development support
- Flexible, unlimited PTO with a minimum expectation for recharge
- Mental Health benefits
- Fitness allowances
- Learning allowances
- Remote and office setup allowances to ensure productive and comfortable working environments
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