Head of AI at Zinnia

Bridgewater, New Jersey, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Insurance, FinTechIndustries

Requirements

15+ years of total technology experience with 5+ years of people management
7+ years of experience in data science, machine learning, artificial intelligence or software engineering, with a focus on artificial intelligence and machine learning
Expertise in the AI focused tech stack including SQL and relational databases, Python, RAGs, knowledge graphs, learning systems, unstructured datasets and document stores, LLMOps and ML Ops tools (LangGraph, LangChain, Sagemaker), agentic based AI frameworks (LangGraph, CrewAI), multimodal AI (voice, text to speech, speech to text, OCR)
Must be able to wrangle and clean datasets as well as join together disparate datasets
Expertise of programmatic testing of machine learning and Gen AI based models for bias and performance
Experience designing frameworks to provide demonstrable value of AI based systems
Strong statistical knowledge of the inner workings of Gen AI based models and machine learning and deep learning

Responsibilities

Build and scale a multidisciplinary AI team (AI engineers, data scientists, applied researchers) and own the Zinnia AI vision
Mentor team members in growing their career and skill set and enabling others to build with AI
Drive AI strategy: Independently own and drive key AI initiatives across the business, proactively identifying areas for efficiency improvements and automation as well as product opportunities
Advanced analytics & measurement: Move beyond basic dashboards and leverage inferential modeling, causal analysis, and experimental design to generate actionable insights
Experimentation & testing: Design and implement A/B tests to measure the impact of AI deployments, optimizing key processes such as processing, fraud detection, customer interactions, and compliance
Provide hands-on guidance of Gen AI based frameworks and architecture from simple knowledge retrieval to fully agentic systems
Cross-functional collaboration: Work closely with stakeholders across Operations, Data

Skills

Data Science

Machine Learning

Inferential Modeling

Causal Analysis

Experimental Design

Analytics

Automation

Process Optimization

Zinnia

Insurance technology for life products

About Zinnia

Zinnia focuses on improving the life and annuity insurance market by providing a platform that simplifies the creation, management, and servicing of insurance products. The platform uses technology and data analytics to help insurance companies launch products faster and manage them more effectively. This results in a better buying experience for consumers and increased operational efficiency for insurers and financial advisors. Zinnia's platform is user-friendly, allowing consumers to easily understand and purchase life and annuity products. The company aims to enhance the relationship between customers and insurers, ensuring better protection and improved wellbeing for consumers. Unlike its competitors, Zinnia emphasizes real-time data sharing and actionable insights, which help all parties make informed decisions.

Topeka, KansasHeadquarters

2005Year Founded

$1.7MTotal Funding

SEEDCompany Stage

Data & Analytics, FintechIndustries

501-1,000Employees