Top Tech Jobs & Startup Jobs

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.

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.

Manage paid media and app acquisition campaigns across Google, Microsoft, Apple, and other channels. Plan, execute, test, optimize, and analyze campaigns to drive profitable user and subscriber growth. Lead incrementality testing, creative experimentation, channel expansion, app economics modeling, and spend optimization. Own high-priority marketing projects and communicate recommendations using data, experimentation, and strategic judgment.

Lead hardware and software implementations for strategic accounts, managing projects from sales handoff through deployment, training, post-implementation support, and transition to clinical success teams. Own project plans, milestones, budgets, customer relationships, cross-functional coordination, and process improvements. The role requires enterprise implementation experience, strong project management and communication skills, lean methodology knowledge, and up to 80% travel.

Coordinate and synchronize cross-functional publishing workflows, maintain dynamic project tracking and success metrics, document and publish project results (Confluence), prioritize dependencies and roadmaps, and ensure leaders have context for milestone-driven decisions to deliver strategic initiatives.

Build and scale Onshore’s partner marketing program by recruiting referral partners, developing co-marketing campaigns, hosting partner events, enabling referrals, tracking partner-sourced pipeline, and coordinating with sales. The role requires representing Onshore with professional services firms, financial institutions, associations, and industry partners while connecting campaign activity to revenue outcomes. This New York City-based position requires daily in-office attendance and close collaboration with marketing, sales, revenue, and executive leadership.

Own the end-to-end People Operations experience, including HR systems, benefits, payroll compliance, leave, unemployment, immigration, perks, and employee lifecycle programs. Improve processes, audit data, document SOPs, and build AI-enabled automations and insights. Partner with Finance, Accounting, IT, and Legal while ensuring multi-state employment compliance and supporting compensation, engagement, feedback, and recognition initiatives.

Optimize visual AI model inference across architectures, algorithms, runtimes, GPU kernels, and distributed systems. Profile workloads, identify compute and memory bottlenecks, improve latency, throughput, memory efficiency, and GPU utilization, and develop benchmarking infrastructure. The role involves techniques such as quantization, sparsity, caching, compilation, attention optimization, custom CUDA or Triton kernels, and multi-GPU execution while collaborating closely with research scientists.

Own Tomo’s data function, strategy, roadmap, platform health, and cross-functional measurement. Build and lead teams spanning data science, analytics, business intelligence, and data engineering. Design experiments, marketing attribution models, SQL queries, and dbt models while maintaining reliable data infrastructure. Partner with Product, Engineering, and executives to improve instrumentation, translate business questions into insights, and establish scalable data processes.

Designs and ships production multi-agent AI systems for KYB, underwriting, case review, and risk monitoring. Owns agent architecture, retrieval, tool integrations, evaluations, observability, MLOps, reliability, and compliance guardrails. Requires strong Python engineering, agent framework expertise, distributed systems experience, Kubernetes operations, and production LLM deployment skills. Mentors engineers and partners with product, security, compliance, and applied science teams. Remote employees travel to Orlando at least twice annually.