Remote Jobs at Honeycomb Insurance

- 4+ years (mid-level) working with Angular and Node.js - 2+ years working with MongoDB - B.Sc in Computer Science / Software Engineering or equivalent field - Independent but knows how to be professionally dominant in a team

Candidates should possess a Bachelor's degree in Computer Science or a related field, with a minimum of four years of experience working with Node.js and two years of experience working with NoSQL databases such as MongoDB. They should also have a Bachelor's degree in Computer Science or Software Engineering, or an equivalent qualification.

- A proven track record of success - An active P&C license - 2+ years P&C insurance sales experience - Commercial real estate insurance experience is preferred - Ability to thrive in a startup environment - effectively adapting to changes, collaborative problem solving, excellent follow-through and collaboration, positive can-do attitude - Demonstrated intellectual curiosity - eager to learn constantly, bring your authentic self to work and ready to embrace diverse ways of thinking and working -…

- 4–7 years in data QA, human-in-the-loop annotation, research coordination, or ML data management (experience with computer vision is preferable) - Experience with annotation tools (e.g., Encord, Labelbox, CVAT) and structured QA workflows - Analytical mindset — detail-oriented, yet systems-focused - Strong organizational, communication, and documentation skills - Degree in a scientific, technical, or cognitive field such as Computer Science, Engineering, Cognitive Science, Experimental Psychol…

- 7+ years of experience in ML/AI infrastructure, MLOps, or data engineering - At least 2–3 years in a technical leadership role - Proven experience architecting and deploying production ML/AI systems at scale - Deep understanding of data pipelines, feature stores, and distributed compute environments - Expertise with modern ML infrastructure (e.g., GCP, Kubernetes, Docker, Dagster, MLFlow, TorchServe, BentoML) - Strong background in Python and experience with large-scale systems and automation …

- 4+ years of experience as a Data Engineer from a SaaS company - Experience in pipeline design and data architecture - Proficiency with ETL tools and data pipeline technologies (e.g., Apache Airflow, Prefect, Dagster)

- 5 - 10 years of experience in event planning or related field, ideally for corporate and/or high-end events - Proven experience in event strategy as well as execution - Insurance industry experience is a plus, but not required - Strong organizational and multitasking abilities - Excellent written and verbal communication skills - Self starter - Detail oriented

- Bachelor’s degree preferred; equivalent work experience considered - 1-3 years of insurance experience, preferably in underwriting support or operations - Strong attention to detail and organizational skills - Excellent communication skills (both verbal and written) - Ability to work independently and collaboratively in a fast-paced environment - Willingness to learn underwriting principles and pursue professional development - Must live in Chicago and be able to work hybrid 3 days a week (Tue…

- 2-4 years of underwriting/insurance experience - Bachelor’s degree or equivalent education/experience preferred - Retail agency relationship preferred - Curiosity, hardworking, self-accountable, positive attitude, humble and fun - Have an opinion, share your opinion and be open to other opinions - Passion to obtain, retain and employ knowledge – as well as share knowledge - Excellent verbal and written communication skills - Strong analytical skills and attention to detail - Must live in the A…

- Thrives in a fast-moving environment where people come first - Hands-on, humble, and adaptable - Able to serve as a visible, trusted partner across the organization - Experience supporting the full employee experience (onboarding, development, performance, policy support) - Ability to translate company goals into practical, people-centered programs balancing empathy, compliance, and clarity - Comfortable in a hybrid role based in Chicago office three days a week (Tuesday-Thursday, occasional M…

- Bachelor's degree in Human Resources, Business Administration, Computer Science, or a related field - At least 4 years of proven experience as a Technical Recruiter or in a similar role, with a track record of successfully sourcing and hiring technical talent - Strong understanding of technical roles and technologies, particularly in fields such as software engineering, data science, etc - Excellent communication and interpersonal skills - Demonstrated ability to manage multiple priorities and…

- 5+ years of product management experience - Experience in market research - Experience with customer engagement and feedback collection - Great communication skills. Ability to talk with anyone in the company and get to an understanding of how you can help each other - Great analytical skills that will be used for understanding opportunities, prioritization and measurement - Ability to think creatively and strategically

- 5+ years of product management experience - Strong communication and interpersonal skills, with the ability to work effectively across various teams - Great analytical skills that will be used for understanding opportunities, prioritization and measurement - Ability to think creatively and strategically - A customer-focused mindset with the ability to translate customer needs into product features - Fluent English

- Master’s degree or PhD in Computer Science, Machine Learning, Statistics, Engineering, or a related field - 6+ years total experience in AI/ML or Data Science - 3+ years hands-on building and deploying GenAI applications (LLMs, agents, RAG, etc.) - Strong hands-on experience with LLM agents, including multi-agent orchestration, tool use, planning/reasoning, and context-managed conversational systems (e.g., LangGraph, HF Transformers Agents, OpenAI Agents) - Deep expertise in Retrieval-Augmente…

- Sc. or PhD in Computer Science, Physics, Electrical Engineering, Applied Math, or a related field - 5+ years of hands-on experience developing and deploying data science or machine learning solutions, with strong expertise in tabular data modeling (e.g., tree-based models, linear models, ensembling, time-dependent models) - Experience with production deployment of ML models, including monitoring, CI/CD, data validation, and system reliability - Ability to independently initiate, plan, and driv…