Top Remote Senior Level Jobs in Buffalo, NY

Leads full-cycle talent acquisition for Global Medical Affairs, partnering with senior leaders to develop recruiting strategies, source passive candidates, manage interviews, negotiate offers, and support onboarding. Provides talent market insights, guides hiring decisions, maintains ATS data, improves recruiting processes, and supports organizational growth within a biotechnology environment.

Supports OnePay’s second-line compliance control environment through control framework maintenance, risk assessments, risk-based monitoring, data quality reviews, process improvements, and product compliance oversight. Partners with cross-functional teams on regulatory, operational, and third-party changes; provides advisory challenge; evaluates control impacts; and prepares leadership and governance reporting. The role also applies analytics, automation, and AI-enabled tools to improve monitoring efficiency and coverage.

Own a queue of Shopify brand onboardings from kickoff through go-live, guiding clients through integrations, tracking, catalogs, and payment configuration. Resolve technical issues, prioritize stalled accounts, maintain documentation, provide coverage, and support process improvements. The role also handles complex onboarding questions, escalations, and mentorship for newer associates while delivering clear communication to brands and internal teams.

Build and own LiveKit’s technical enablement program for AEs, SDRs, presales engineers, and Solutions Architects. Responsibilities include auditing technical knowledge gaps, creating curriculum and hands-on labs, onboarding and certifying sellers, maintaining content with product releases, and measuring ramp time, technical conversations, assessment results, and seller confidence. The role requires production engineering experience and the ability to explain complex technologies clearly to non-engineers.

Build and own LiveKit’s technical enablement program for sales teams. Responsibilities include auditing technical knowledge gaps, creating curriculum and hands-on labs, onboarding AEs and SDRs, developing learning paths for presales teams, certifying demo readiness, updating content with product releases, and measuring ramp time, technical conversation readiness, assessment results, and seller confidence.

Leads and develops Experience Cloud Specialist teams supporting government customers with platform adoption, migrations, upgrades, renewals, and expansions. Establishes sales operating models, coaching programs, forecasting, pipeline governance, enablement, and cross-functional processes. Partners with Sales, Customer Success, Product, Finance, Legal, and executives to advance strategic opportunities, improve customer outcomes, and achieve revenue objectives. Oversees complex customer engagements, AI-enabled workflow improvements, commercial execution, and team performance.

Own GTM strategic planning across territory design, segmentation, target setting, and capacity planning. Build planning data systems using HubSpot, BigQuery, Hex, and Hightouch; translate company priorities into field execution; define performance metrics; lead planning tooling and process improvements; and collaborate with Sales, Success, Marketing, Finance, Partnerships, Product, Talent Acquisition, and GTM Engineering. The role requires strong SQL skills, product-led growth knowledge, and experience with revenue operations or sales strategy in B2B SaaS.

Leads aerospace and defense business development, identifying government funding and shaping requirements before solicitations. Builds relationships with defense agencies, labs, congressional staff, and prime contractors; selects rapid contracting pathways; leads capture, proposals, pricing, and IP strategy; transitions prototypes into production and programs of record; forecasts pipeline and closes high-value government orders. Requires strong defense contracting knowledge, government networks, proposal-writing ability, technical aptitude, and approximately 50% travel.

Build and deploy production machine learning systems for personalized recommendations, fraud detection, risk scoring, ranking, classification, and anomaly detection. Own the full ML lifecycle, including mathematical formulation, feature engineering, training, evaluation, A/B testing, deployment, monitoring, and reliability. Develop low-latency real-time inference services using large-scale donor and transaction data, collaborate with Platform and DevOps teams, and mentor engineers on ML best practices and scientific rigor.

Leads advanced data science for pricing, marketing incrementality, customer lifetime value, retention, churn, and commercial decision-making. Designs experimentation and causal inference methods, builds predictive models, productionizes them in Databricks, reviews external analyses, and communicates findings to executives, investors, and the board. Serves as the senior technical authority for experimentation and ensures analyses are reproducible, rigorous, and decision-focused.