Top Tech Jobs & Startup Jobs

Work with enterprise clients managing inbound leads and executing targeted outreach. Collaborate with Sales, Marketing, and Product teams to generate high-quality sales pipeline.

The Senior Demand Generation Manager will develop and execute strategies to generate qualified leads, optimize demand programs, and enhance collaboration with sales and product teams.

The Enterprise Account Executive is responsible for selling to Talent Acquisition leaders at large companies, building relationships, driving value, and exceeding revenue targets by navigating complex buying groups and utilizing sales processes.

Oversee hub operations to ensure efficient, safe, and metric-driven distribution. Support and train hub staff, coordinate with store and inventory teams, monitor scorecards and order fill rates, manage stocking/returns, analyze performance trends, and maintain equipment and PPE compliance to meet service levels.

Lead B2B commercial sales growth by managing customer relationships, driving performance metrics, training and overseeing delivery teams, planning routes, ensuring timely product distribution, handling account billing/records, enforcing safety and vehicle maintenance, and providing automotive parts expertise.

Support AutoZone commercial sales and service by assisting customers with product selection and orders, managing billing and deliveries, conducting account visits, generating new business, handling returns and cash procedures, managing inventory and vehicle safety, and leading the commercial department in the manager's absence.

Manage accounting for multiple early-stage clients: prepare and review financial reports; record payroll, AR, AP, and fixed assets; run ad hoc analyses; maintain cloud filing and proprietary app; track billable hours; monitor client Slack and Front; ensure compliance with accounting principles and identify process improvements.

Design, fabricate, and characterize short-loop semiconductor test devices from deposition through patterned fabrication to electrical measurement. Develop thin-film stacks, run lithography and etch processes, perform probe-station characterization, build custom test benches, connect materials/interface properties to device outcomes, support customer engagements, and document experiments for internal knowledge and AI training.

As a Software Engineer in MES, you'll develop and scale systems that manage automated materials synthesis, focusing on scheduling, workflow orchestration, and ensuring accurate data provenance.

The ML Systems Engineer will design and manage efficient training and inference systems, optimize hardware utilization, and collaborate with researchers on RL loop integration, enhancing scientific discovery.

Manage data collection and market research for telecom and datacenter suppliers, support RFP/RFQ creation, build vendor partnerships, coordinate cross-functional evaluation and contracting, track supplier performance and market trends, and provide data-driven recommendations to inform network expansion and procurement strategy.

Manage month-end close, prepare and analyze financial statements and budgets, maintain general ledger, oversee AP/AR, track scholarships and sponsorships, support audits and 990 tax schedules, prepare Board/Finance Committee presentations, and configure Workday financial reports and processes. Collaborate across departments and support improvements to financial systems and controls.

Contract SDR will document one recurring, multi-step sales task end-to-end via structured forms (including thresholds, scoring, channels, tools, failure modes). Work totals ~10 hours per submission, with initial AI-driven interview and assessment; opportunity for extensions. Remote, US-only, 10–20 hrs/week, paid $40–$70/hr.

Lead architecture and technical strategy for Lyra's ML and generative AI platform. Design training, fine-tuning, and low-latency inference infrastructure (RAG, vector DBs), set ML/AI SDLC standards (dataset lineage, CI/CD, evaluation, monitoring), partner with cross-functional clinical and product teams, mentor senior engineers, deliver prototypes and critical code, and ensure secure, reliable production ML systems.

Build and maintain ML and generative AI tooling, training and inference platform services, model evaluation and testing frameworks, and APIs to expose ML products. Deploy and manage applications across the AI/ML SDLC, mentor teammates, and write production-quality code daily.

Design and evaluate predictive and generative models, extract insights from disparate clinical and product data, build and partner on data pipelines, run rigorous evaluations and experiments, and deliver time-sensitive ad hoc analyses to product, engineering, and clinical stakeholders.