Top Entry Level Jobs

Generates new employee benefits sales through networking, association activities, and qualified calls; develops proposals with internal experts; manages an existing client book; maintains client relationships; communicates industry trends and solutions; and promotes team accountability, coaching, and agency growth. Requires sales experience, employee benefits knowledge preferred, and an appropriate state insurance license or ability to obtain one within 90 days.

Supports outside sales teams through account onboarding, customer relationship maintenance, sales data analysis, quote tracking, administrative assistance, and cross-functional communication. Identifies sales trends and improvement opportunities while coordinating internal teams to streamline operations and resolve customer or sales issues.

Guide customers through vehicle purchases by presenting vehicle features, options, financing choices, and accessories. Conduct test drives and vehicle walk-arounds, follow up with prospective and prior customers using dealership management systems, attend product training, meet sales goals, and maintain compliance with company policies and safety standards.

Founding Full-Stack Engineer responsible for owning Maia’s technology direction, developing mobile and backend features, integrating conversational AI, building and iterating on machine learning models, and scaling the product. The role requires close collaboration with founders and designers, rapid experimentation, user feedback analysis, production launches, issue triage, and technical architecture leadership. The position is fully in person in San Francisco.

Build net-new AI products for high-stakes decision simulations while partnering with principals as a core product owner. Develop novel data-gathering techniques using voice and analysis agents, and post-train models to improve automated data procurement and analysis pipelines. The role combines product ownership, software engineering, and research in an intense, in-person San Francisco environment.

Delivers onboarding and ongoing employee training on operating systems, processes, system enhancements, Power BI, and operational KPIs. Monitors proficiency sign-offs, training compliance, performance gaps, and training records. Collaborates with Operations, Compliance, HR, and Technology to improve training materials, standardize best practices, and support global process implementation.

Conduct applied AI research for education by reading papers, reproducing methods, training and evaluating models, building datasets and benchmarks, analyzing educational data, and developing research prototypes. The role also involves documenting experiments, collaborating with researchers and engineers, contributing to publications and open-source work, and assisting with RFP, grant, and research proposal development.

Own the company’s design language and strategy across product, marketing, communications, and internal tools. Partner with customers and engineers to translate complex workflows into trusted AI agent behavior and product experiences. Define onboarding and customer communication, establish a high quality bar, and contribute beyond design to product, customer strategy, and company direction. The role is highly hands-on, supports shipping to production, and is based in person in San Francisco.

Supports the design, documentation, testing, and production of marine electrical systems for boats. Responsibilities include creating schematics, wiring diagrams, harness drawings, layouts, bills of materials, and engineering documentation; performing basic electrical calculations; selecting components; supporting engineering changes; and reviewing designs for marine standards compliance. Works under a senior engineer while collaborating with manufacturing and progressively taking on more complex design tasks.

The Data Scientist I will clean and structure messy datasets, engineer features, run exploratory and numerical analyses, fit and evaluate statistical and machine learning models, and support experiments. The role involves writing documented Python code, monitoring model performance, and collaborating with researchers and engineers. This early-career position offers mentorship while progressively increasing ownership of modeling projects involving online narratives, public opinion, AI, machine learning, and causal inference.