Top Tech Jobs & Startup Jobs

Provide first-level, on-site helpdesk support for regional end users: triage and resolve tickets, configure and maintain laptops/workstations, manage asset inventory, escalate complex issues, meet SLAs, and perform occasional after-hours work and travel to client sites.

Manage project workflow for live events and experiences: planning, resourcing, scheduling, risk/H&S, print management, budget tracking, documentation and client reporting to keep large-scale projects on time and on record.

Lead production from concept through showrunning for live experiences. Partner with creative and design on feasibility, manage budgets, suppliers, risk, schedules and client relationships to deliver medium-sized events and activations.

Develop software and machine learning algorithms for human-computer interface products. Design LLM-based system architectures for conversational, retrieval, and automation tasks. Use data science and statistics to analyze and optimize model performance. Build and optimize systems for latency, reliability, and cost for real-time ML applications.

Run 15–30 minute in-person user studies weekly: recruit and schedule participants, run CLI scripts during sessions, record gesture outcomes and collect log files, perform basic analysis and plotting in Google Sheets. Part-time (20 hours/week) with at least 2 days in-office for data collection.

Part-time weekend receptionist who greets clients, manages multi-line phones, handles scheduling assistance, performs filing/copying/faxing, maintains reception area, manages mail and office supplies, and supports general administrative tasks to ensure smooth daily operations and positive client interactions.

Provide virtual administrative and operational client support: manage calendars, coordinate meetings, handle communications, research, prepare price quotes, analyze customer complaints, prioritize tasks, and build client relationships to ensure satisfaction and timely delivery of services.

Lead account-based and integrated growth programs (ABM, events, content, partnerships, paid) to generate engagement and qualified pipeline for enterprise AI customers, coordinating closely with Sales and cross-functional teams and measuring account influence on opportunities.

Build and run the full sales cycle across ambi.careers, reset, and ambi.studio. Create outbound and inbound motions from scratch, develop go-to-market strategy with the founder, and establish the foundation for a future sales team.

Convert qualified B2B opportunities into closed deals by managing the full consultative sales cycle. Conduct discovery, present solutions, negotiate terms, manage pipeline and forecasting, collaborate with internal teams, and consistently meet monthly and quarterly revenue targets.

Own the full onboarding lifecycle for new Pearly accounts from committed through go-live: configure integrations and payments, run trainings, track milestones and risks in Pylon, document handoffs to CSMs, and improve onboarding playbooks and processes.

Lead and manage cathodic protection construction projects: plan, schedule, control budget, approve deliverables and invoices, direct project teams, ensure safety and quality, liaise with clients, and analyze project profitability.

Lead corporate partnership strategy and manage an existing portfolio of industry partners to secure and steward five- and six-figure sponsorships. Build pipeline, forecast revenue, oversee advisory boards/roundtables, provide market intelligence, and ensure compliance. Supervise one direct report, collaborate with leadership and volunteers, execute sponsored initiatives, and drive fundraising goals to support workforce development, research, education, and public health programs.

Design, build, and integrate LLM/Generative AI capabilities into enterprise applications. Evaluate models and platforms, implement RAG/embeddings/vector search, build APIs, develop proofs-of-concept and production solutions, ensure secure/responsible AI, and collaborate with stakeholders to translate business needs into scalable AI systems.