OpenBright

Machine Learning Engineer

• Design, build, and own the end-to-end MLOps infrastructure on AWS, with a heavy emphasis on scalable data engineering and reliable, cost-efficient ML systems.
• Implement and manage high-throughput, event-driven ML workflows (S3, Lambda, SQS, Step Functions, Batch) to support both data-centric pipelines and model execution.
• Develop and maintain robust CI/CD pipelines for model deployment and promotion, enforcing best practices for Git, semantic versioning, and multi-branch release strategies.
• Orchestrate complex data pipelines for the ingestion, processing, and updating of embeddings in vector databases (e.g., Qdrant, ChromaDB).
• Establish and manage systems for training phase management and experiment tracking (e.g., MLflow, SageMaker Experiments) and evaluate modern model serving tools (e.g., BentoML).
• Implement comprehensive security measures, including least-privilege access control (IAM) and secure credential management for models and APIs.
• Collaborate with data science teams to translate prototypes (including LLMs and standalone APIs) into production-grade services with clear monitoring strategies for production model health.

Senior MLOps Engineer

Product Manager

• Be the subject matter expert and build out our construction program from the ground up
• Define construction appetite and segmentation strategy, with strong alignment to loss drivers and data-informed underwriting decisions for new business, renewals, and endorsements
• Prepares and develops premium quotations utilizing underwriting guidelines within letter of authority.
• Work cross functionally with technical product teams to optimize hazard detection and risk management within our AI risk intelligence platform
• Partner with risk services teams to optimize GTM strategy and new product launches
• Develops and manages agency relationships, addressing agents’ and policyholders’ concerns/needs.
• Ensure product and process compliance and build scalable operations for future products and enhancements.
• Communicate product performance, trends, and strategy to leadership and cross-functional partners.

Director of Insurance Product Management – Construction

Risk

• Conduct remote audits of client sites using our AI/Computer Vision-based solutions
• Analyze video footage to identify potential safety hazards and risks
• Develop comprehensive risk reports based on AI-driven insights
• Present findings to clients and help drive adoption of mitigation strategies
• Collaborate with our AI and engineering teams to refine and enhance our risk assessment algorithms
• Provide ergonomic assessments and recommendations in manufacturing and other industrial environments
• Stay current with industry standards, regulations, and best practices in workplace safety and ergonomics

Risk Services Specialist

Data Engineer

• About CompScience: A safety-tech startup focused on preventing workplace injuries, founded in 2019 and backed by investors from SpaceX, Tesla, and Anduril
• Our groundbreaking perception-based risk assessment program provides a comprehensive data stream for risk analysis and monitoring
• Role: Senior Data Engineer to design, build, and manage core AWS data infrastructure; collaborate with data science, engineering, and product teams
• Responsibilities: Design, implement, and oversee AWS-based data infrastructure balancing performance, scalability, and cost-efficiency; collaborate with cross-functional teams; develop ETL using Glue, SQS, and Lambda; store with S3, PostgreSQL, Redshift, AWS RDS; build tools using Google Data Studio, QuickSight, Tableau; automate data processes for timely analytics
• Working at CompScience: Compensation: $150k–$175k per year plus equity and benefits; remote-first culture; comprehensive benefits
• Ideal Teammate: Thrive in fast-paced startup; wear multiple hats; commit to mission of saving lives through technology

Senior Data Engineer

Account Manager

• Manage High-Volume Submissions and Accounts: Independently manage a large portfolio of middle-market commercial submissions (1000+) and customer accounts (300+), ensuring efficient processing and accurate data entry within the CRM.
• Drive Process Automation and Efficiency: Proactively identify and recommend opportunities for automation, process improvements, and playbooks to increase productivity and achieve outsized impact.
• Provide Excellent Customer and Partner Support: Engage with prospects, customers, and agency partners via multiple communication channels (chat, email, video) to explain value propositions, resolve support requests, and ensure a positive experience.
• Support Underwriting and Policy Issuance: Assist Production Underwriters and producers with quoting, binding, and issuing policies; follow up on submissions in a timely manner.
• Collaborate with Cross-Functional Teams: Work closely with Partnerships, Finance, and capacity partners on various activities, including loss runs, endorsements, audits, and strategic customer service initiatives.
• Master and Apply Product Knowledge: Quickly gain a deep understanding of new and specialty commercial insurance products to effectively support customers and partners.
• Manage Account Activities: Handle all account management activities, scheduling meetings, running reports, data collection and policy management.