Top Tech Jobs & Startup Jobs

Design, develop, modify, test, and maintain full-stack software applications. Engineers will understand product areas, codebases, and systems; write high-quality, tested code; analyze data; solve complex problems; collaborate with product and engineering teams; conduct design and code reviews; and mentor junior developers while delivering customer-focused products.

Own full sales cycle for large, complex P&C and specialty insurance carriers and MGAs. Build executive relationships, map stakeholders, negotiate and close multi-quarter enterprise deals. Develop account strategies, partner with engineering, product, and customer success for handoffs and expansion, and translate Federato's AI-native platform value to underwriting and executive leadership. Contribute playbooks and best practices to scale strategic account motion.

Design and implement scalable machine learning pipelines for insurance use cases, including classical ML and LLM workloads. Lead production deployments, build reusable ML infrastructure and CI/CD pipelines, and establish observability, testing, model monitoring, drift detection, logging, and rollback standards. Mentor junior engineers, collaborate cross-functionally, manage cloud-based ML systems, and communicate technical findings to nontechnical stakeholders while maintaining insurance data compliance.

Build and maintain scalable ETL/data pipelines and internal frameworks to support ML and product teams. Drive architecture, observability, data quality, and engineering best practices across AI/ML workflows and prompt-engineering pipelines.

Lead post-sales experience for enterprise customers: onboarding, renewals, upsells, and strategic account management. Act as trusted advisor, drive product adoption and value realization, coordinate cross-functional teams, resolve account issues, and use data to inform customer strategy and growth.

Lead a small engineering team to design, build, and deliver full-stack features using React, TypeScript, Python (Django), Node.js, and PostgreSQL. Own technical delivery from design through deployment, driving testing, CI/CD, containerized deployments (Kubernetes), event-driven architectures (Kafka), performance, reliability, and mentoring across the team while partnering with Product and Design.

As a Forward Deployed Machine Learning Engineer, you'll build and deploy machine learning models, enhance system performance, and collaborate with Data Science and Engineering teams for effective solutions.

Lead and grow the Infrastructure organization responsible for cloud infrastructure, SRE, and security. Drive technical strategy, roadmap, reliability, scalability, cost optimization, and operational excellence while partnering with Engineering, Product, and Customer teams. Represent Infrastructure with executives and customers, review architecture, provide technical guidance, and occasionally contribute code.

Lead and grow a 9-10 engineer cross-functional team to own AI product areas (Quote Agent, Submission Triage, Product Studio). Define architecture for agentic/LLM systems, ensure engineering quality, partner with Product/Design/GT M stakeholders, and drive delivery of scalable, production AI features while fostering ownership and continuous growth.

Lead and deliver complex customer implementations, debug and build integrations, drive architectural decisions, run technical discovery, mentor junior engineers, and write production/integration code (Python, JavaScript, SQL). Serve as technical escalation and represent FDE in product and cross-functional discussions.