Top Tech Jobs & Startup Jobs

Lead product data engineering initiatives by designing data models, owning critical pipelines, building data quality and lineage monitoring, and supporting experimentation and ML-ready datasets. Translate business needs into automated data solutions, maintain pipeline SLAs through on-call support, and develop AI-assisted tools for issue detection and resolution. Collaborate with Product, Engineering, Data Science, Machine Learning, and Applied AI teams across Block’s products.

Manage month-end, quarter and year-end close with emphasis on fixed assets, royalties, prepaid amortization, cash/credit card activity, and operating expenses. Maintain fixed asset module, analyze royalty agreements, reconcile accruals, support NetSuite processes, improve accounting workflows, document SOPs, and assist external audits.

Lead technical vision and execution for autonomy and APNT solutions on unmanned aerial systems. Guide programs from research and development through flight testing and fielding, oversee multidisciplinary engineering teams, manage schedules and budgets, support systems integration, engage customers and partners, and identify new business opportunities. Provide technical oversight while driving successful delivery of mission-critical aerospace software and systems.

Own and scale Jellyfish’s security engineering program, including strategy, architecture, secure SDLC governance, AI security, threat modeling, vulnerability remediation, incident response, penetration testing, and bug bounty programs. The role combines hands-on software development with executive advising, cross-functional leadership, mentorship, and security risk management across SaaS infrastructure and customer-facing AI products.

Own and scale Alloy’s customer enablement program for a technical, API-driven SaaS platform. Responsibilities include auditing and consolidating resources, developing onboarding and product-release training, facilitating hands-on customer sessions, closing documentation gaps, and creating feedback loops with Product, Design, Support, Delivery, and Marketing. Measure outcomes such as self-service, adoption, ticket deflection, and time to value while determining whether customer challenges require content, training, or product improvements.

Lead Americas field engineering and technical delivery for an agentic AI platform serving insurers. Build agentic systems, harnesses, workflows, and internal tooling while personally supporting major pursuits. Grow and manage a player-coach team, improve delivery productivity, accelerate customer implementations, and translate field-built capabilities into the core product. The role combines hands-on AI engineering, enterprise go-to-market execution, customer transformation, and leadership.

Analyze product and healthcare billing data to support product decisions, reporting, experimentation, and claims collection improvements. Build and maintain dashboards, develop scalable datasets, conduct A/B testing, create data visualizations, and communicate actionable insights. Collaborate with product stakeholders, data scientists, and engineers on data modeling, OKRs, data quality, and pipeline reliability for Billing and Payments features.

Build and own Arcadia’s internal developer platform across a large-scale data lakehouse and Kubernetes applications. Develop self-service APIs, templates, golden paths, CI/CD capabilities, observability, security controls, and reliability practices. Lead platform migrations, improve developer experience, manage stakeholder needs and costs, set technical direction, and coach senior engineers. The role requires hands-on software development alongside expertise in cloud infrastructure, Kubernetes, networking, infrastructure as code, SLOs, incident response, and platform product management.

Leads Robin’s Technical Support team, including specialists and a Support Operations Manager. Responsibilities include coaching staff, managing KPIs and ticket queues in Jira, resolving escalated customer issues, improving support processes and documentation, identifying issue trends, partnering with Engineering and Product on root-cause fixes, and adopting AI-assisted support tools.

Lead FP&A and strategic finance initiatives, including financial modeling for product expansion, monetization, marketing ROI, M&A, and strategic investments. Own forecasts, long-term planning, variance analysis, user metrics, P&L, balance sheet, cash flow, and headcount reporting. Partner with leadership on profitability and investment decisions while improving recurring finance workflows through automation, AI tools, and BI platforms.