Top Tech Jobs & Startup Jobs

Lead and grow multiple software engineering teams to deliver Financial Management product outcomes. Set technical direction, prioritize architecture, reduce tech debt, improve delivery metrics (cycle time, MTTR, predictability), embed shift-left testing and observability, drive incident response and RCAs, and apply AI/automation to increase velocity and quality.

Lead intake, roadmap, and governance for an AI automation/platform team. Harden and ship business-built AI apps to production with secure GCP platforms, define acceptance criteria and responsible-AI gates, manage vendor buy-vs-build decisions, drive adoption, measure outcomes, and manage AI economics and stakeholder communication.

Build, model, and maintain scalable BigQuery-based data solutions on GCP. Implement performant data models, storage partitioning/clustering, ETL improvements, data validation, and documentation. Collaborate with architects, data scientists, and engineers to deliver governed, high-quality data for reporting and AI initiatives.

First point of contact for customers via phone, chat, and email; troubleshoot and resolve basic technical issues for insurance software, escalate complex problems, document interactions in CRM, contribute to KB articles and product testing, participate in training and mentoring, and work rotational IST shifts to meet SLAs.

Lead product marketing for the agency segment, owning positioning, GTM, launches, competitive intelligence, and performance metrics. Manage and grow a PMM team, partner with Product, Sales, and Field Marketing to drive adoption and revenue, and champion AI-forward tooling and data-driven GTM across the Applied Epic and EZLynx portfolio.

Lead and develop a team delivering data conversion for customer implementations. Drive adoption of AI and automation, manage complex/at-risk migrations, track KPIs, and improve processes through experimentation and transformation.

Lead design and rollout of a fit-for-purpose data governance program: manage data lifecycle, implement governance frameworks and tools, drive data catalogs/lineage, upskill stewards, define KPIs, and partner cross-functionally to improve data quality, compliance, and usability.

Lead full-cycle technical recruiting for Engineering and technical roles: partner with hiring leaders, own sourcing and pipeline development, advise on market and compensation, manage candidate experience through offer and onboarding, use ATS and recruiting metrics, improve hiring processes, and mentor other recruiters.

Support cloud-hosted application testing, implementation, maintenance, and validation. Monitor and troubleshoot Windows, Linux, server, network, and application environments. Assist with incident response, documentation, and operational improvements. Contribute to automation, deployments, and on-call support.

Lead development and administration of compensation frameworks, manage the annual compensation planning cycle, perform market benchmarking and pay equity analyses, administer equity programs, own compensation system administration and automation, support international pay benchmarking (including India), translate findings into cost/benefit recommendations, ensure compliance with compensation laws, and mentor junior team members and HR partners.