Top Remote Jobs

Drive revenue by managing and expanding relationships with Fortune 500 and other B2B customers in the electronic components market. Prospect new customers, navigate large accounts to find decision makers, collaborate with marketing, educate clients on market conditions, and support supply chain sourcing. Role involves on-phone/email/chat outreach and on-site visits with travel up to 50%.

Drive sales and matchmaking for high-end clients in a fully remote startup. Conduct sales interviews, meet revenue targets, manage client portfolios, provide coaching, match clients, coordinate dates, maintain CRM records, and support recruiting, profile reviews, events, renewals, and upgrades.

Own and expand strategic enterprise life sciences accounts, build executive relationships, develop multi-year account strategies, and lead complex consultative sales of scientific data, bioinformatics, analytics, AI-ready data, and technology consulting solutions. Drive enterprise adoption, identify expansion opportunities, coordinate with internal leadership, and conduct executive business reviews. The role requires strong life sciences domain knowledge, enterprise account management experience, scientific credibility, and an active biopharma network.

Manage Midwest sales and market development for Stellaromics’ spatial biology capital equipment, services, and reagents. Responsibilities include prospecting, territory planning, pipeline management, complex sales cycles, customer demonstrations, scientific presentations, and deal closure across academic, biotech, and pharmaceutical accounts. The role requires technical selling in genomics, spatial biology, and imaging; collaboration with marketing, R&D, and field teams; relationship building with scientists, core facilities, and procurement teams; and more than 50% regional travel.

Drive revenue growth in telecommunications, fiber broadband, utility, and infrastructure markets by securing new business and managing strategic accounts. Develop pipelines, lead proposals and negotiations, maintain executive customer relationships, identify expansion opportunities, forecast revenue, and provide market intelligence to leadership. The role bridges customer expectations with operational execution and requires extensive industry networking, construction-site visits, and up to 75% travel.

Identify prospective customers through research and outbound email, phone, and LinkedIn outreach. Qualify leads, schedule meetings for Account Executives, maintain accurate CRM activity and pipeline data, and consistently meet activity and meeting targets while collaborating with sales and marketing teams.

Design, develop, and optimize high-performance confidential computing solutions using CUDA. Identify and resolve performance bottlenecks through advanced CUDA programming and profiling tools. Write clean, tested, documented code and collaborate with developer services and infrastructure teams to integrate GPU-accelerated algorithms into existing systems. The role also involves building cryptographic and distributed systems supporting privacy-preserving zero-knowledge products.

Build and close outbound enterprise sales pipelines for a new payroll-giving scholarship program. Sell consultatively to HR, Total Rewards, Benefits, CSR, Finance, Legal, Payroll, and executive stakeholders at employers with 10,000+ employees. Explain payroll deduction and tax-credit mechanics, manage complex implementations, support successful program launches, and capture market intelligence to shape messaging, ideal customer profiles, and the go-to-market playbook.

Lead Grace Church’s finance team, overseeing financial reporting, budgeting, forecasting, audits, internal controls, transaction coding, donor records, contribution statements, financial institutions, and accounting systems. Partner with operations and ministry leaders to support strategic decisions, stewardship, compliance, and responsible resource management. Supervise staff and volunteers, prepare board financial materials, analyze variances, and improve financial processes.

PhD-level AI Engineering intern to apply machine learning to large-scale intraday and tick financial data. Responsibilities include alpha generation, portfolio optimization, risk modeling, data preprocessing, and collaboration with researchers to deploy robust ML models for trading.