Top Remote Senior Level Jobs in Buffalo, NY

Lead and scale a global Customer Support organisation from Singapore: define strategy, 24/7 operating model, SLAs, analytics (CSAT/NPS), QA, tech stack, deflection/self-service, cross-functional incident leadership, and vendor/BPO management to improve customer health, retention and cost-to-serve.

Drive new business growth across financial institutions, managing enterprise sales cycles, building relationships with decision-makers, and representing Addition Wealth at industry events.

Design, build, and maintain reliable infrastructure for Yext's SaaS platform, collaborating with engineering teams to enhance performance, security, and operational efficiency.

As a Staff Backend Engineer, you'll design and operate backend services, lead technical initiatives, ensure reliability, and mentor team members in a remote-first setup.

The Enterprise Account Executive will drive sales by managing the sales process, generating new business, engaging with prospects, and achieving revenue targets.

Sell RTB Houses adtech solutions to enterprise retail/e-commerce clients by owning full sales cycles, building strategic account plans, closing deals, updating CRM, collaborating with technical teams, and traveling domestically up to 20%. Drive new business, nurture relationships, and meet revenue targets.

Design, develop, test, and deploy Go and Python microservices for a B2B financial platform. Collaborate cross-functionally, support client onboarding and documentation, build automations, monitor system reliability, and later transition to product development or team lead responsibilities.

Own enterprise AI strategy and launch the PureSpectrum AI Academy. Curate an approved AI tool stack, create function-level AI playbooks, manage an active AI project portfolio, partner with engineering to implement API-connected workflows, and drive measurable adoption, automation, efficiency, and ROI across functions while reporting program status to leadership.

Lead strategy and roadmap for AI-powered SaaS features; collaborate with engineering, data science, UX, and GTM teams to define problems, run discovery and experiments, manage backlogs, deliver product outcomes, and drive post-launch adoption and performance improvements.

The Sr. Machine Learning Engineer will develop and deploy ML solutions for healthcare, manage data pipelines, and work with large datasets to enhance healthcare delivery.