Top Tech Jobs & Startup Jobs

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.

Work directly with the co-founder to drive outbound prospecting, book qualified meetings, prepare briefings, write proposals and customer materials, manage CRM and pipeline, research verticals and buying committees, support demo logistics and conferences, and draft outreach sequences. This is a hands-on sales role owning deals from day one across defense and commercial customers.

Develop and maintain embedded firmware and drivers for underwater robotic subsystems, prototype and bring up hardware, debug PCBs with lab tools, implement real-time control and communication stacks, support field deployments and production readiness, and create portable internal libraries. Collaborate across electrical, mechanical, and acoustics teams and ensure robust, memory-safe firmware.

Design and deliver low-cost, production-ready underwater acoustic sensors (DVL, MBES, Side Scan, USBL). Own hardware and algorithms end-to-end: signal processing, transducer and analog front-end tradeoffs, embedded firmware, calibration, production test, and field trials to validate performance and reliability.

Provide remote bookkeeping for US clients: maintain financial records, reconciliations, AP/AR, payroll processing and tax compliance, prepare monthly financial statements and 1099s, organize tax documentation, and communicate with clients.

Full-stack product engineer (backend-focused) who builds scalable NodeJS services, crafts React/TypeScript UIs, designs APIs, writes well-tested code, optimizes PostgreSQL queries and data pipelines, improves observability, and contributes to architecture and engineering practices for a fintech platform.

Own end-to-end product experiences for a data-intensive, AI-native fintech OS: convert complex financial logic and APIs into intuitive flows, design dashboards and workflows, build and maintain a scalable Figma design system aligned with React components, prototype with real data, and collaborate closely with engineers to ensure usable, accurate UX.

Designs, develops, tests, and supports scalable cloud-based Java applications and services for the Marriott Associate App ecosystem. Builds and maintains REST and SOAP web services, supports mobile and web apps, troubleshoots integrations and performance issues, collaborates with vendors and cross-functional teams, participates in design/reviews, and drives continuous improvement and operational excellence.

Lead design and delivery of an AI-ready data foundation including enterprise ontologies, knowledge graphs, metadata, feature stores, vectorized assets, agent APIs, and real-time data capabilities. Partner across platform, governance, AI/ML, and business domains to build governed, discoverable, and reusable data products that enable personalization, analytics, and agentic AI consumption.

Manage day-to-day general ledger processes including reconciliations, account balancing, period-end close, reporting, and discrepancy resolution. Ensure compliance with tax, fraud, and collection procedures. Lead and train accounting staff, perform audits of accounting SOPs, handle credit checks and collections, and maintain strong financial controls and accurate profit/loss documentation.

Lead and mentor a team of engineers while contributing hands-on to complex features. Define architecture, drive development best practices, conduct code reviews, coordinate cross-functional requirements, and ensure timely delivery of high-quality ecommerce marketplace software.

Own and scale lead generation channels to build pipeline: run email and social campaigns, webinars, and conference strategy; optimize conversions, build dashboards, and refine AI-powered automations to improve GTM performance.

Design and implement end-to-end web and backend features, build evaluation infrastructure for LLM/AI healthcare finance applications, architect scalable secure integrations with healthcare platforms, and drive software engineering best practices including testing, code reviews, and documentation.

Design, build, and operate large-scale ML systems across data, training, evaluation, inference, and deployment. Lead GPU-optimized training and inference pipelines, ensure reliability, performance, safety, and seamless integration into products. Own production deployments, monitoring, and cross-functional best practices to drive measurable model improvements and efficient research-to-production cycles.

Lead the end-to-end ML execution: build and operate data pipelines, training and evaluation systems, and scalable inference. Fine-tune and optimize large models (LoRA/QLoRA/SFT/DPO/distillation), ensure GPU efficiency, monitor production quality, collaborate with product and application engineering, and rapidly ship reliable, safe ML solutions that translate research into production.

Lead the AI product strategy, collaborating with engineers to balance user needs and technical feasibility, ensuring quality and timely product delivery.

Develop reproducible reinforcement-learning test environments and golden reference solutions. Produce clear code samples, debug and fix real code, build small features, improve readability, document reasoning, and review peer submissions across multiple languages and stacks.

Contribute expert-level code samples, implement and optimize features, debug complex defects, refactor legacy code, document technical decisions for AI training, and review peer submissions across Python3, Java, Rust, Go, C++, and TypeScript codebases in a part-time remote contract role.

Design, implement, and optimize GPU-based software for training LLMs. Profile and fine-tune GPU kernels and shaders, develop host-side integrations in C++, and deliver output-based tasks meeting performance specs.