Synera is building an internal superagent, an AI layer over all of Synera's business data and tools that every employee can delegate work to. The data foundation for this superagent is crucial, and this role involves owning, building, and shaping it. This includes the data warehouse, expanding it from a GTM reporting store into Synera's system of insight, covering GTM data, product telemetry, engineering work, support, finance, and more. It also involves building every connector into the data warehouse and the interfaces that allow agents to query it. The role requires working with every team to integrate their data into a machine-readable format. The ideal candidate is a builder with strong SQL skills, experience in building ETL/data pipelines and data models, and expertise in data extraction and transformation. Experience building the data layer behind LLM applications, integrating multiple systems, and a strong focus on data access and privacy are essential. An automator by instinct, the candidate should be proficient with scripts, APIs, workflow tools, and AI agents, using LLMs as a daily working tool. Experience in building user-friendly reporting and forecasting is also important. Clear communication with non-technical colleagues and stakeholders is required. The role offers the opportunity to own a significant part of the company's data infrastructure and directly influence how the company is run, reporting into Business Operations.
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Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed