Director of Data & AI Engineering
About The Position
At Interplay, we’re pushing technological limits to make training more powerful. As our Director of Data & AI Engineering, you’ll lead a founding-level effort to architect an ecosystem that serves both our product innovation and our organizational efficiency. You will manage a team of experts to move beyond the AI hype, building production-ready features for our customers and a scalable, data-driven backbone for our internal teams. We are looking for an experienced leader & people manager who is a Data Analyst at heart. You bring the perspective of someone who has been in the trenches of data analysis and the proven experience of managing technical teams to deliver high-scale AI and data solutions for internal and external needs. EdTech experience preferred!
Requirements
- 8+ years in Data Engineering or Technical Strategy, with 3+ years in a leadership position managing high-performing teams.
- Deep experience managing cloud data infrastructure, preferably in GCP with BigQuery, Dagster, dbt, and Omni.
- Demonstrated ability to architect agentic AI solutions, RAG pipelines, and orchestration frameworks using Python or TypeScript.
- Strong foundation in API integrations, data structuring (JSON, SQL), and event-driven pipelines.
- Candidates must be authorized to work in the United States for any employer without stipulations and be residents of the United States.
- Following the offer of employment, all roles will require a background check and a drug and alcohol test. Some positions may require other verifications, such as, driver eligibility and record, credentials or education. All new hires will be required to complete the I-9 Form and E-verify process upon employment.
Nice To Haves
- EdTech experience preferred!
- EdTech or B2B SaaS experience.
Responsibilities
- Lead the data engineering team (3 engineers, 2 analysts); conduct performance reviews, provide mentorship, and set career development plans to drive growth.
- Work cross-functionally with CS, Sales, Marketing, and Finance to identify needs and construct technical roadmaps for data initiatives.
- Establish and enforce enterprise-wide governance frameworks that ensure data privacy, AI safety, and regulatory compliance while standardizing best practices across the data ecosystem.
- Oversee the design and deployment of a unified and scalable data architecture and pipelines that support analytics, BI, and machine learning initiatives.
- Evaluate business friction points to determine if a BI dashboard, AI agent, or automated workflow is the most effective solution, working with stakeholders to determine technical aspects of complex data projects.
- Define and track ROI via dashboards for "Hours Saved," "Cost Avoidance," and "Revenue Impact" from AI and data deployments.
Benefits
- Annual learning reimbursement.
- Support for work-life balance.
- 3 weeks PTO, 1 week Winter Break, holidays, and sick days.
- Medical, vision, dental, and 401(k) match.
- Private Company Equity Options
- Mental and physical health resources and social events.
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What This Job Offers
Job Type
Full-time
Career Level
Director
Education Level
No Education Listed
