Agentic Engineer at ZEFR utilizing AI for operational efficiency. Collaborate across teams to design and implement AI solutions and data integrations for growth.
Responsibilities
Design and build full-stack AI solutions (front-end, back-end, and integrations) to support GTM and internal teams.
Develop agentic AI systems that automate complex workflows (e.g., pipeline forecasting, knowledge retrieval, reporting, customer engagement).
Engineer data pipelines and integrations with enterprise SaaS platforms (Salesforce, Snowflake, Looker, Jira, Slack, etc.).
Leverage GCP or AWS cloud infrastructure to deploy scalable, secure, and cost-efficient solutions.
Partner with GTM stakeholders to identify and prioritize high-value problems, then rapidly prototype and iterate on solutions.
Apply data engineering best practices to ensure high-quality, accessible, and actionable data across business functions.
Collaborate cross-functionally with product, data science, and operations to evangelize internal AI adoption and best practices.
Thrive in a scrappy, startup-style environment: experiment, learn fast, and deliver impact without waiting for perfect conditions.
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