Data Analytics AI Engineer
You will design and build LLM powered systems and data agents that improve internal capabilities and help GTM, Product, and Engineering teams make faster, smarter, data driven decisions. You will analyze large scale datasets to surface strategic insights across the customer lifecycle and revenue funnel, define KPIs, and translate findings into actionable product and business recommendations. You will evaluate AI initiatives through rigorous experimentation, benchmarking, and model evaluation to optimize performance. You will monitor, refine, and evolve AI models and deployment practices to keep pace with rapidly advancing capabilities. You will ship and maintain production grade analytics and AI applications through CI/CD pipelines, ensuring reliable, repeatable, and observable deployments. You will manage and influence senior stakeholders including CRO level, owning projects end to end and translating complex data and AI concepts into business outcomes. You will leverage AI assisted development tools to accelerate delivery across the team.
Responsibilities
- Design and build LLM powered systems and data agents that directly improve internal capabilities and enable GTM Product and Engineering teams to make faster smarter data driven decisions at scale.
- Analyze large scale datasets to surface strategic insights across the customer lifecycle and revenue funnel; define and track KPIs; translate findings into actionable product and business recommendations.
- Evaluate and quantify the business impact of AI initiatives through rigorous experimentation, benchmarking, and model evaluation to continuously optimize LLM performance.
- Continuously monitor refine and evolve AI models and solutions, iterating on prompt engineering and deployment practices to keep pace with rapidly advancing capabilities.
- Ship and maintain production grade analytics and AI applications through modern CI/CD pipelines GitLab GitHub, ensuring reliable, repeatable, and observable deployments.
- Manage and influence senior business stakeholders, including CRO level, owning projects end to end and translating complex data and AI concepts into business outcomes.
- Leverage AI assisted development tools to accelerate delivery speed across the team.
Requirements
- 5+ years of experience in AI/ML engineering or a combined data analytics and AI role.
- Strong SQL proficiency; Python experience is a strong plus.
- Hands on experience with LLMs prompt engineering fine tuning and model evaluation pipelines.
- Strong analytical background with experience defining KPIs and communicating data driven recommendations to senior business stakeholders, with commercial acumen across Sales Marketing and revenue pipeline.
- Experience with CI/CD pipelines using GitLab or GitHub for analytics or AI workloads.
- Demonstrated ability to own projects independently scoping problems navigating ambiguity and managing stakeholder relationships without heavy oversight.
- Strong cross functional communication skills able to present AI concepts and outcomes to both technical and non technical audiences up to CRO level.
- Ability to work in our NYC office approximately 3 days in office weekly.
Benefits
- Target bonus
- Equity grant
- Very generous benefits