Summary
SYNCREON is a company that provides Recruitment and Staffing services through innovative solutions. They are seeking a Solutions Engineer who will curate and deliver media datasets, translating customer AI data requirements into actionable strategies while collaborating cross-functionally.
Responsibilities
- Curate and deliver media datasets (audio, video, speech) end-to-end — from ingesting raw partner data to QA-ing and shipping final packages to customers
- Translate customer AI data requirements into concrete curation strategies, working hands-on with messy, unstructured, real-world data
- Build scripts, lightweight tooling, and repeatable QA workflows to improve delivery speed and consistency
- Serve as the internal catalog expert — tracking content coverage, metadata quality, and gaps relative to customer demand
- Collaborate cross-functionally with Sales, Product, and Engineering to inform platform roadmap and reduce bespoke delivery work over time
Skills
- Strong SQL proficiency — must be comfortable querying large, messy, real-world datasets
- Hands-on experience with data pipelines, ETL/ELT, or data engineering (e.g., Snowflake, BigQuery, Databricks, Airflow, dbt)
- Comfortable in customer-facing or cross-functional environments — able to communicate technical work clearly to external stakeholders
- Experience working at an early-stage startup (Series A–C); no pure big-tech-only backgrounds
- Comfort operating with unstructured, imperfect, evolving data — this role requires thriving in ambiguity, not waiting for clean inputs
Qualifications
Must Haves
- Strong SQL proficiency — must be comfortable querying large, messy, real-world datasets
- Hands-on experience with data pipelines, ETL/ELT, or data engineering (e.g., Snowflake, BigQuery, Databricks, Airflow, dbt)
- Comfortable in customer-facing or cross-functional environments — able to communicate technical work clearly to external stakeholders
- Experience working at an early-stage startup (Series A–C); no pure big-tech-only backgrounds
- Comfort operating with unstructured, imperfect, evolving data — this role requires thriving in ambiguity, not waiting for clean inputs