Forward Deployed Engineer (AI & Data)

About the Role
At Canner, we're building breakthrough AI and data infrastructure that transforms data from a static asset into the core engine of enterprise decision-making. As part of our R&D team, you'll help drive the development and adoption of Wren AI.
Wren AI is Canner's flagship open-source project, enabling Large Language Models (LLMs) to query enterprise data directly and providing AI Agents with precise semantic query capabilities. Our open-source repository has been featured on GitHub Top Trending for several consecutive weeks, accumulating nearly 17k+ stars and establishing itself as a leading global GenBI solution a strong signal of worldwide developer recognition and demand.
As a Forward Deployed Engineer (AI & Data), you'll be the engineer on the front line with our customers — deeply understanding their data architecture and business context, and turning Wren AI into the AI data infrastructure that powers their organization. You won't just respond to issues; you'll proactively drive customer success, channel frontline insights back to product, and accelerate our iteration cycle.
If you're passionate about large-scale AI applications, working with international enterprises, serving global users, and learning the standards and expectations of multinational customers, this is an exceptional opportunity to participate in cutting-edge industry development.
Responsibilities
Serve as the technical partner and engineering point of contact for customers; understand their data architecture, business needs, and use cases, and help them plan and implement Wren AI best practices in their environment
Lead customer onboarding and deployment, including data source connections (databases, data warehouses, etc.), semantic model (MDL) design and tuning, and AI model configuration and validation
Design and build custom integrations, PoCs, demos, and technical validations tailored to each customer's data environment, demonstrating Wren AI's value in their specific context
Triage, diagnose, and resolve technical issues customers encounter with the Wren AI platform/API, including natural language query accuracy, SQL generation, chart/report rendering, and API integration challenges
Collaborate closely with Product and Engineering teams to translate customer needs and frontline insights into product issues and feature requests, and participate in testing fixes and validating new features
Write and maintain technical documentation, integration guides, best practices, FAQs, and solution templates to improve customer self-service and team-wide support efficiency
Track and respond to customer requests within SLA, ensuring high-quality and timely resolution
Analyze customer usage patterns and recurring issues to proactively propose product improvements and customer success strategies, improving product stability, user experience, and retention
What we are looking for
5+ years of hands-on software engineering, data engineering, solutions engineering, or equivalent technical experience. We care more about what you can build and solve than your exact job title.
Previous experience in a client-facing pre-sales or sales engineering capacity, supporting outbound pipeline development through technical validation and product positioning.
Bachelor's degree or above in Information Engineering, Software Engineering, Computer Science, or a related field
Hands-on experience with Python and/or Node.js, able to read and write code to understand product internals, debug issues, or build customer-facing integration scripts
Strong familiarity with databases and SQL, able to understand complex queries, performance issues, and optimization techniques
Experience with API integration, usage, and troubleshooting
Excellent English communication skills (verbal and written), comfortable reading technical documentation and engaging with international customers
Strong problem-solving and analytical skills; detail-oriented, patient, and able to handle complex or multi-threaded tasks independently while remaining composed in front of customers
Strong customer-facing mindset, enjoys direct customer interaction, understanding requirements, and proposing solutions
Willing to work flexible hours to support international customers across different time zones, including occasional evening or late-night meetings to align with customers in regions such as North America, Europe, or Southeast Asia
Willing to travel internationally as needed for customer on-site engagements, conferences, or partner meetings (estimated occasional travel, not frequent)
Preferred Skills
Experience with SaaS platforms, BI tools, or Embedded Analytics
Familiarity with Large Language Models (LLMs) or GenBI / Text-to-SQL concepts and implementation
Experience working with cross-functional global teams or onboarding international customers
Familiarity with cloud databases/data warehouses (e.g., BigQuery, Redshift, Snowflake, Databricks)
Experience writing tutorials, training content, or technical blog posts
Experience contributing to open-source projects, community management, or Developer Relations / Developer Advocacy
Experience in Solutions Engineering, Sales Engineering, Customer Engineering, or similar customer-facing engineering roles
Mandarin Chinese proficiency is a plus but not required; our internal team communicates in both English and Traditional Chinese, and customer-facing work is conducted in English

Work arrangement
Yes