Top Tech Jobs & Startup Jobs

Lead design, implementation, and operation of large-scale distributed scanning and data-collection services. Build and maintain services in Python and Go, improve performance, scalability, reliability, and observability, collaborate with security/product/data teams, diagnose production issues, drive architecture and roadmap decisions, and mentor engineers across a distributed team.

Lead design, build, and operate large-scale cloud services powering internet-wide and customer-specific scanning. Implement and maintain services in Python and Go, improve scalability, reliability, and observability, ingest threat intelligence, surface findings into underwriting workflows, diagnose production issues, contribute to architecture and roadmap, and mentor distributed engineering teams.

Lead design and execution of reinsurance pricing frameworks and actuarial models. Structure and price complex treaties, drive portfolio profitability reviews, set governance controls, collaborate with data science and engineering, and communicate pricing strategy to leadership and external partners.

Lead reinsurance pricing lifecycle: design and price complex treaties, develop and enhance actuarial models, drive portfolio profitability reviews, establish pricing governance, collaborate with data science/engineering/security, and communicate pricing strategy to leadership and external partners.

Lead product strategy and a team of product managers across underwriting, claims, and security to create a unified risk lifecycle. Own cross-functional feedback loops, product surfaces for security adoption and monetization, model-driven workflows, major platform migrations, and portfolio-level success metrics while partnering with Engineering, Data, Actuarial, GTM, and Claims.

Own labeling quality and methodology for ML datasets: define annotation guidelines, establish gold standards and IAA targets, manage Label Studio and vendor BPOs, partner with ML and product teams to design tasks, track label accuracy and operational metrics, and drive improvements including model-assisted labeling and active learning.

Measure and optimize underwriting using statistical analysis and machine learning on claims, risk signals, and underwriting data. Build models for risk assessment, pricing, and automation; create dashboards and reports; collaborate with actuarial, product, and engineering teams; lead initiatives and mentor team members to improve underwriting efficiency and risk selection.

Lead data-driven underwriting improvements by analyzing claims, risk signals, and underwriting data; build statistical and ML models for cyber risk assessment, pricing, and automation; produce dashboards and reports; collaborate with actuarial, product, and engineering teams; mentor teammates and lead cross-functional initiatives to optimize underwriting and risk selection.

Lead labeling quality and methodology for ML at Coalition: design annotation tasks, define quality frameworks (IAA, gold standards), manage Label Studio and vendor BPOs, partner with ML/data teams, and track operational metrics to improve accuracy and throughput.

Own and grow a quota-based portfolio of VARs and strategic partners to drive adoption and revenue for Coalition's Wirespeed ADR platform. Recruit, enable, and co-sell with partners; build go-to-market plans, run events and webinars, forecast and report via CRM, and develop multi-level partner relationships to accelerate deals and demand.