Top Tech Jobs & Startup Jobs

Build and ship AI-powered features across web and mobile, integrating LLM agents into conversational UIs. Own full-stack implementations from Python/Postgres APIs to React/React Native frontends, focusing on product quality, UX, and reliability for tens of thousands of members.

Own and improve the data infrastructure and core pipelines powering underwriting and claims. Build ingestion and enrichment pipelines for messy claims data, partner with data scientists and actuaries to productionize models and logic, and establish SLAs, monitoring, and on-call practices to ensure reliable, observable systems.

Build and own full-stack, AI-native systems across underwriting, claims, member products, and internal operations. Design, ship, and deploy backend, frontend, and AI workflows, working directly with operational teams to eliminate manual work and scale insurance processes.

Build and ship AI-powered features across web and mobile, integrating LLM agents into conversational UIs. Own full-stack implementations from Python/Postgres backends to React/React Native frontends, collaborate with AI team, and deliver high-quality, user-focused product experiences like AI triage and proactive health notifications.

Lead hands-on growth marketing: craft and test messaging, run multichannel campaigns (digital and offline), launch rapid experiments, partner with design and agencies, optimize funnel performance, and manage the annual marketing budget to drive qualified leads and partnerships.

Lead and grow Arlo's MGU stop-loss business with TPAs and plan partners. Own partner relationships, drive revenue, manage renewals and upsells, monitor loss ratios and utilization, coordinate cross-functional teams to resolve billing/claims/TPA issues, and deliver performance improvements.

Build and own end-to-end, AI-native full-stack systems across underwriting, claims, finance, and member products. Ship products using React/React Native, TypeScript, Python, and Postgres; design retrieval/memory/evaluation systems; collaborate with operational teams and AI engineers to eliminate manual work and scale core insurance infrastructure.

Perform end-to-end data science for underwriting, auto-quoting, and sales analytics: detect emerging risks, quantify data blind spots, build multi-signal models and confidence scoring, measure algorithmic impact on sales, and maintain ingestion and pipeline data quality and monitoring.

Design, build, and ship AI-native features and production LLM agents for healthcare workflows. Improve core AI stack (prompt orchestration, retrieval, evaluations), implement safety/guardrails, and deliver full‑stack solutions touching backend infrastructure and member-facing experiences.

Build and maintain ingestion pipelines for heterogeneous healthcare data (TPA feeds, claims, eligibility, enrollment). Design dbt models and orchestration (Dagster/Airflow), implement data quality monitoring and observability, and partner with data science to produce and maintain feature pipelines and feedback loops.