Top Remote Senior Level Jobs in Buffalo, NY

Lead and scale multiple product engineering teams while remaining hands-on with code and architecture. Manage engineering leaders, guide architecture and reliability decisions, review and write code, align priorities with product and customer outcomes, and deliver product and AI capabilities on seasonal deadlines. The role evolves from an approximately even technical and leadership split toward predominantly organizational leadership.

Own product strategy and outcomes for financial services and data platforms. Lead payments, billing, refunds, financial aid, data quality, analytics, and Microsoft Fabric migration initiatives. Partner with engineering, design, finance, compliance, and internal data users to frame problems, run experiments, prioritize investments, and improve payment success, chargebacks, data quality, Power BI adoption, and self-service analytics.

Leads a data engineering team and oversees the design, development, reliability, security, and scalability of data pipelines, warehouses, platforms, and integrations. Translates business needs into technical solutions, establishes data quality and governance standards, reviews architecture and code, manages projects and resources, resolves infrastructure issues, mentors engineers, and communicates progress and risks to leadership.

Leads enterprise pricing and revenue management across VASA Fitness clubs, membership products, premium offerings, and ancillary services. Develops pricing architecture, financial models, forecasts, dashboards, experiments, promotions, and market strategies. Analyzes elasticity, customer behavior, retention, lifetime value, profitability, and competitive positioning. Partners with Finance, Marketing, Operations, Product, Technology, Analytics, and Real Estate, presenting recommendations to executive leadership and establishing governance for pricing decisions.

Owns US customer and commercial operations for a healthcare hardware and AI company. Responsibilities include forecasting camera demand, managing manufacturing partners and inventory, launching repair and replacement services, executing and negotiating customer contracts, managing legacy obligations, creating SOPs and policies, and automating operational workflows with AI tooling. The role is remote, US-based, with occasional travel for customer engagements and team offsites.

Build and scale backend-focused systems supporting truckload freight operations, including high-volume carrier quotes, automated transactions, distributed services, and APIs. Design scalable data models and architectures, contribute across the React and TypeScript stack, make key technical decisions, mentor engineers, and collaborate with product leadership. The role also involves developing AI-powered logistics tools and maintaining reliable, secure infrastructure on Kubernetes and GCP.

Designs and supports enterprise data integrations, ETL/ELT pipelines, APIs, data models, and transformations across Microsoft platforms. Maintains data quality, governance, security, and reliability while developing CI/CD pipelines, deployment automation, and release processes. Troubleshoots integration and deployment issues, manages environments, supports reporting and analytics, and collaborates with technical and business stakeholders to deliver scalable data solutions.

Build and own the technical roadmap: design AI-first interfaces and APIs, architect scalable ETL pipelines, develop data models for ML features, ship autonomous B2B workflows (PO generation, vendor sync, schedule optimizations), and establish engineering standards, CI/CD, and mentoring.

Designs and delivers analytics solutions on Snowflake using dbt, SQL, and modern ELT practices. Responsibilities include data modeling, pipeline development, migrations, performance optimization, data quality, security, orchestration, CI/CD, and release management. Leads discovery and requirements gathering, translates business needs into analytics architectures, provides technical guidance, and communicates recommendations to client stakeholders in agile consulting environments.

Lead ArboStar's paid media and PR strategy to drive high-quality B2B SaaS lead generation. Manage PPC campaigns and budgets, mentor PPC specialists, optimize funnels (MQL→SQL) through CRO and A/B testing, coordinate with Sales/Product/Ops, run PR/partnerships, and deliver analytics and ROI-focused reporting.