AI Underwriter

The Role 

• Computer Vision — helping evaluate and validate AI systems that analyze property imagery for risk assessment purposes.
• Generative AI — informing the development of AI-powered tools that assist in quote generation, risk narratives, and underwriting workflows.
• Predictive Modeling — contributing your underwriting expertise to proprietary risk models, helping drive more accurate and data-driven outcomes across our book of business.

What You’ll Do

• Partner closely with AI researchers and engineers throughout the full model lifecycle — from early research and development through post-production monitoring. Translate complex underwriting guidelines into clear, consistent property assessments that inform and improve AI models. 
• Conduct in-depth property reviews to identify gaps or weaknesses in current AI models and recommend improvements.
• Supervise labeling teams to ensure accurate property classification in production models.
• Provide training and ongoing guidance to annotation teams; perform continuous quality assurance on annotation projects.
• Assist in the discovery and evaluation of new and revised AI models, contributing underwriting subject matter expertise.
• Maintain open, proactive communication across underwriting and AI teams. Take on special projects and assignments as the team's needs evolve.

Basic Requirements

• 4+ years of underwriting/insurance experience (commercial preferred)  
• 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

Benefits:

• Salary: $100,000 - $120,000
• ISO stock options
• Medical, dental, and vision coverage for you and your dependents
• HSA with company contributions
• 401(k) with employer match
• Flexible time off
• 10 company-paid holidays
• Paid family leave

Honeycomb is committed to fair and equitable compensation practices. The base salary range listed in each job posting represents our good faith estimate of what we expect to pay for the role. Actual compensation may vary based on skills, experience, education, and location, as well as internal alignment and market factors.

What You’ll Do

• Take ownership of services and features, working in an agile environment to deliver high-quality solutions.
• As part of this team, you’ll take a key role in refactoring systems to build more robust, scalable, and streamlined services. This involves deep infrastructure work and modern service architecture.
• Design and build core micro-services, laying the foundation for our product and internal platforms.
• Collaborate with product managers, architects, and other developers to understand requirements and translate them into technical specifications.
• Continuously explore and evaluate new technologies and tools to improve efficiency and enhance the capabilities of our systems.

Basic Requirements

• 5+ years (senior-level) working with Node.js
• 3+ years working with MongoDB
• 1+ years' experience with NestJS framework
• Experience working with microservices architecture
• B.Sc in Computer Science/ Software engineering or equivalent field 
• Independent but knows how to be professionally dominant in a team

Nice to Have

• Working with Kubernetes and Docker deployment
• Experience with Firebase Services like Functions, Storage and Authentication

About The Role:

We’re hiring a Senior ML Software Engineer to build and own the foundations that enable our data science teams to ship ML and GenAI systems to production. You’ll develop core capabilities such as data/feature pipelines, training and evaluation infrastructure, and model/agent serving.

What You’ll Do

• Build and own backend systems and APIs that support end-to-end ML workflows (data → training → deploy).
• Design for performance, scalability, reliability, and cost in production ML environments.
• Develop infrastructure for LLM/agentic workflows (tool execution, retrieval, evaluation, observability).
• Partner closely with data scientists to iterate on platform capabilities and developer experience.
• Drive Innovation: Continuously evaluate and integrate emerging infrastructure technologies that can give Honeycomb’s AI platform a competitive edge.

Basic Requirements

• 5+ years in data/backend engineering. 
• Strong background in Python and experience with large-scale systems and automation.
• Strong system design and API development skills.
• Experience with containerized environments such as Docker and Kubernetes
• Strong communication skills and ability to collaborate across engineering, data science, and product teams.

Nice to Have

• Production experience with vision models.
• Experience architecting and deploying production ML/AI systems at scale
• GCP experience (especially BigQuery).
• Experience with pipeline orchestration frameworks (Airflow, Prefect or Dagster)

What You’ll Do

As the Application Support Engineering Team Lead, you will build, guide, and mentor a team of Application Support Engineers while also serving as a senior point of contact for technical issue resolution. You’ll ensure that both internal teams and external customers receive exceptional support, while driving operational excellence and knowledge-sharing across the organization.

• Lead & Mentor: Manage and support a team of Application Support Engineers, fostering professional growth through coaching, feedback, and ongoing development.
  
  
• Drive Resolution: Oversee the triage, assignment, and resolution of production issues. Ensure that bugs are swiftly addressed by the right stakeholders, while maintaining accountability and visibility until resolution.
  
  
• Optimize Processes: Own and refine support workflows to improve efficiency, reduce resolution times, and elevate the customer experience.
  
  
• Collaborate Cross-Functionally: Partner closely with various internal stakeholders to prioritize critical issues and improve product stability.
  
  
• Ensure Quality Documentation: Guarantee your team maintains thorough and accurate documentation of troubleshooting steps, resolutions, and post-mortem learnings.
  
  
• Champion a Customer-Centric Culture: Set the standard for clear communication, empathy, and professionalism when interacting with internal stakeholders and customers.
  
  

Basic Requirements

• 2+ years of experience in a leadership role of a mid-sized support engineering team.
• 5+ years of experience in technical support or engineering.
• Proven ability to lead troubleshooting efforts, analyze root causes, and implement long-term fixes.
• Experience with a logging tool such as DataDog or Splunk.
• Familiarity with NoSQL databases such as MongoDB.
• Familiarity with a cloud service such as GCP, AWS, or Azure.
• Excellent leadership, organizational, and communication skills, with a demonstrated ability to influence and inspire teams.
• A track record of driving process improvements and delivering results in fast-paced, dynamic environments.

Nice to Have

• Knowledge of Angular or similar frontend frameworks, plus backend experience in Node.js.
• Basic scripting abilities in Python, Bash, or a similar language.
• Customer-obsessed mindset with the ability to balance technical depth with business priorities.
  
  

Benefits

• Salary Range: $140K - $165K (Pending Experience)
• Health Benefits
• Employee options grant 
• 401K with employer match
• Flexible paid time off
• Paid national holidays

 What You’ll Do

• Own full-stack feature development from ideation to production, including architecture, implementation, testing, and deployment
• Make independent tradeoff decisions, balancing speed, scale, maintainability, and user value
• Collaborate across engineering, product, and design to align on priorities, timelines, and technical solutions
• Working through ambiguity by framing constraints, narrowing options, and proposing actionable solutions
• Deliver clear technical outcomes and help translate them into measurable business impact

Basic Requirements

• 5+ years of experience in full-stack development, primarily in Node.js and a front-end framework like Angular (preferred), React, or Vue
• Proven experience shipping features in SaaS or product-led environments, including prioritization, tradeoffs, and iteration
• Bachelor’s degree in Computer Science or equivalent field
• Strong ownership mindset: ability to identify opportunities, drive solutions, and close the loop

Nice to Have

• Experience working in a NoSQL database such as MongoDB
• Experience with TypeScript
• Experience with a design tool such as Figma
• Experience with Kubernetes and/or Docker deployment
• Experience with Firebase Services like Functions, Storage and Authentication
• Experience with logging services such as Datadog or Splunk