Top Tech Jobs & Startup Jobs

Leads Fusion’s Technical Architecture practice while personally building production AI and LLM tooling for Professional Services. Responsibilities include managing and mentoring architects, setting architecture standards, supporting enterprise presales and regulated customers, modernizing delivery infrastructure, establishing AI security guardrails, evaluating emerging AI capabilities, and driving adoption through training and enablement. The role requires deep Salesforce or ServiceNow expertise, hands-on software development, enterprise integration knowledge, and executive-level customer engagement.

Support Hawaiʻi client onboarding, dashboard configuration, training, launches, and project coordination. Help clients improve workflows, adopt features, and resolve operational challenges while collaborating with Onboarding, Account Management, Support, and Product teams. Apply local tourism-market knowledge, participate in client visits and go-lives, identify risks, and provide feedback to improve processes and client experiences. The role develops into broader Client Success responsibilities over time.

Lead end-to-end LLM inference performance across serving systems, models, GPU hardware, and workloads. Define rigorous benchmarks, diagnose bottlenecks from scheduling through kernels and interconnects, optimize single- and multi-node deployments, and deliver production-ready runtimes and configurations. Collaborate with product and infrastructure teams, evaluate inference technologies, and implement runtime fixes. The role requires strong Python engineering, production experience with serving engines such as vLLM or SGLang, GPU profiling, and knowledge of modern inference optimization techniques.

Lead CTV media buying and programmatic strategy across Ashley’s furniture and mattress brands. Optimize campaigns, budgets, CPMs, audience targeting, and frequency to drive online conversions and in-store sales. Manage publisher, streaming platform, ad exchange, and DSP relationships; negotiate Deal IDs and PMP agreements; oversee attribution, incrementality testing, clean-room analysis, impression deduplication, and offline conversion measurement. Partner with data science and creative teams to improve performance, unify fragmented vendor data, and achieve ROAS targets.

Drive new enterprise business for Regal’s AI Agent platform by sourcing pipeline, managing complex sales cycles, engaging executive buyers, building ROI-focused business cases, and closing strategic deals. The role requires consultative selling, outbound prospecting, multi-threaded account strategies, quota attainment, and collaboration with leadership, marketing, and BDR teams in a hybrid New York City environment.

Own Camber’s B2B event marketing strategy, including a $700,000 budget across conferences, sponsorships, executive dinners, and invite-only gatherings. Develop event plans, negotiate vendors, coordinate sales engagement, manage follow-up, and track sourced and influenced pipeline in HubSpot or Salesforce. The role requires reporting event ROI, optimizing spending, and traveling 25–30% of the time, primarily during conference season.

Develop production robotics perception software for manufacturing environments. Responsibilities include 3D geometry reconstruction, segmentation, inspection, active perception, viewpoint planning, multi-sensor fusion, GPU acceleration, hardware-software integration, debugging, and deployment support. The role works directly with physical robots and sensors, assists application teams with proofs of concept and deployments, and travels to customer sites for system-level troubleshooting.

Owns NODA AI’s export and trade compliance program, including ITAR/EAR classifications, DDTC and BIS licenses, restricted-party screening, foreign-person controls, technology transfer reviews, customs compliance, training, audits, government submissions, and audit-ready records. Partners with engineering, security, contracts, finance, HR, and outside counsel to protect controlled information and maintain regulatory compliance across defense technology operations.

Build and deploy production-grade AI and machine learning solutions within regulated customer environments. Develop specialized AI workflows, model deployment and monitoring systems, cloud and data integrations, applications, CI/CD extensions, and secure platform solutions. Advise data science teams, lead customer engagements, troubleshoot infrastructure, create reusable delivery materials, and provide product feedback to engineering, support, and product teams.

Own sales activity across Texas, developing territory and account plans, expanding channel partnerships, and growing enterprise revenue. Identify and close new business opportunities, manage complex solution-based sales cycles, build relationships with end users and consultants, prepare proposals, maintain CRM and forecasts, and collaborate with technical and channel teams. The role requires strong security-industry sales experience, enterprise B2B business development expertise, and an established Texas security-market network.