Top Remote Senior Level Jobs in Buffalo, NY

Own strategy, roadmap, and P&L outcomes for private cloud, storage, and OS management products. Make prioritization decisions, conduct customer and market research, lead launches with Engineering, enable Sales and partners, and identify cross-portfolio opportunities. The role requires technical fluency in infrastructure technologies, measurable business impact, rapid execution, clear communication, and mentorship of other product managers.

Supports and optimizes Oracle Fusion Cloud Finance systems, serving as the bridge between Finance and IT. Responsibilities include production configuration, user support, Oracle service requests, quarterly update and regression testing, requirements gathering, functional design, data-flow analysis, SQL-based reconciliation, integrations, reporting, UAT, stakeholder training, and process improvement. The role also supports OneStream application development and adoption.

Own end-to-end due diligence for AI-enabled programs serving low- and middle-income countries, from rapid screening through pilot handoff. Build evidence reviews, cost-effectiveness models, risk assessments, landscape scans, and decision memos; co-design and launch field pilots; engage partners and technical experts; and develop repeatable data, monitoring, evaluation, and AI-assisted research workflows. Help establish the Incubator’s processes, tools, and team as the organization scales.

Leads healthcare quality analytics using hospital performance, national rankings, Medicare claims, and CMS data. Replicates quality methodologies, identifies improvement opportunities, builds dashboards and benchmarking tools, and establishes analytic validation standards. Presents insights to executives and customers, supports pre-sales and engagements, partners with data scientists and consultants, and mentors analysts.

Design and build robust backend services and secure APIs for finance and reader applications. Implement authentication, payments, subscriptions, and finance workflows. Design Postgres/Redis schemas, integrate with financial APIs (BSE Star MF, NSE) and DRM services, and ensure compliance-friendly data handling.

The Data Scientist will transform real-world, clinical, and preclinical healthcare data into reproducible datasets, analyses, and evidence supporting medical-device research and regulatory needs. Responsibilities include cohort development, data-quality validation, statistical programming, study design support, analysis plans, clinical and post-market analyses, documentation, and communicating findings to technical and nontechnical stakeholders. The role collaborates with Scientific, Clinical, R&D, Regulatory, Quality, IT, and external data partners.

Own and evolve production infrastructure for AI workloads, including Kubernetes, cloud-native migrations, scheduling, orchestration, observability, infrastructure as code, deployment workflows, security, reliability, and incident recovery. Partner with engineering and business operations teams to build dependable platform capabilities. The role requires deep production Kubernetes experience, strong cloud and Linux fundamentals, architectural judgment, automation skills, and end-to-end ownership of infrastructure systems.

Lead FP&A activities focused on gross margin, profitability, budgeting, forecasting, unit economics, customer and contract analysis, pricing, and executive reporting. Build financial models, identify margin improvement opportunities, evaluate care model economics, and partner with Operations, Clinical, Supply Chain, and the Controller. Own reporting, scenario analysis, board materials, and contribute to pricing, contract, and go-to-market decisions.

Manage high-value CTV and digital advertising clients as the primary contact, overseeing onboarding, campaign execution, performance reporting, retention, and satisfaction. Provide analytical insights, strategic recommendations, troubleshooting, and upsell or cross-sell support. Partner with Sales and internal teams, identify account risks and opportunities, present campaign results, advise on emerging AdTech trends, and mentor other Account Managers.

Build Tailscale’s internal AI-enablement tools, workflows, guardrails, and documentation. Partner with engineering leadership and teams to define the AI roadmap, evaluate coding agents and models, improve adoption, and measure effects on velocity and quality. The role involves developing internal developer-facing automation, teaching and influencing engineers, identifying high-leverage AI opportunities, and promoting safe use of AI-generated code in a distributed engineering organization.