Top Remote Jobs in Buffalo, NY

Design and develop curriculum and learning content using ADDIE/SAM/Rapid methodologies. Lead instructional design reviews, consult with SMEs, create instructor-led, self-study, and web-based training, estimate scope/resources, manage multiple projects, mentor peers, and ensure quality and alignment with business readiness and operational partners.

Lead technical discovery and design of hybrid and multi-cloud solutions, acting as the technical sales lead. Architect secure, compliant infrastructures (networking, storage, backup/DR, security), run workshops, support RFPs, coordinate public cloud specialists, and align solutions to measurable business outcomes.

Perform outbound and inbound outreach to prospective families and athletic facility partners, qualify leads through discovery conversations, book calls and campus visits, manage and log activity in the CRM, and report weekly pipeline and results to leadership.

Perform calibration, chip-level testing and validation of high-speed photonics/optoelectronic devices (up to 200GHz). Develop and execute test methods, analyze results, optimize performance, design high-speed devices, document procedures, mentor junior staff, and ensure safety and quality compliance.

The PIC Architect is responsible for designing advanced silicon photonics integrated circuits, managing PIC development, and coordinating with cross-functional teams to optimize performance and manufacturing processes.

The Sales Engineering Specialist supports pre-sales activities with enterprise customers, defining technical strategies, configuring solutions, and promoting Nokia's offerings, focusing on Fixed Networks technologies.

Lead growth of InMarket's measurement partner ecosystem by evangelizing Unified Measurement and LCI solutions, engaging partner sales/account teams, driving demand and net-new logos, delivering training and demos, performing market analysis and meta-analyses, informing product strategy, and coordinating cross-functional go-to-market and co-marketing efforts to scale revenue.

Lead end-to-end customer implementation projects for an AI-driven scientific platform. Create project plans, manage timelines, risks, and resources, coordinate cross-functional teams, act as primary customer PM contact, and ensure on-time, on-budget delivery and customer satisfaction.

Early-stage Account Executive responsible for full sales cycle: prospecting, qualifying, closing, onboarding, and customer success. Help build and document the initial sales playbook and establish predictable revenue growth.

The Software Engineer (Fullstack) at Sumble will develop and optimize software applications, manage data integration, enhance security, and ensure a high-quality user experience.

As a Data Scientist/Machine Learning Engineer, you'll finetune models, improve data quality, add new signals, and push solutions to production.

Lead end-to-end development of AI-powered features and shared AI services, own product loop from discovery to production, design data and system architecture, create reusable tooling and guardrails, mentor engineers, and ensure secure handling of sensitive school and family data.

Lead product strategy and delivery for client workflow orchestration, AI-powered anomaly detection, and a client portal. Drive automation, real-time telemetry, API integrations, and measurable operational excellence. Partner with CS, Ops, Engineering, and AI architecture to prototype, ship AI-native features, define metrics, and grow the product team.

Review documents from data breaches to identify PII, PHI, and other sensitive data using eDiscovery platforms. Meet accuracy and speed targets, follow written/verbal instructions, attend trainings, maintain confidentiality, track hours, and communicate with project leadership. Project-based, fully remote (US-only), minimum 40 hours/week, Monday–Friday 9 AM–5 PM ET.

Lead post-sale adoption of new SaaS features by training, enabling integrations, driving adoption KPIs, building customer relationships, and collaborating with cross-functional teams to measure business impact and retention.

Own and govern the end-to-end marketing tech stack and campaign operations: roadmap, integrations, tracking, tag management, data flows, and reporting. Build AI-powered automations and operational tooling, ensure data hygiene, and support ABM and PLG initiatives through signal and workflow design.