Top Remote Tech Jobs

Own the full client lifecycle for custom software projects, from discovery and technical solutioning through proposal creation, deal closure, delivery oversight, and account growth. Lead requirements gathering, architecture discussions, estimates, pricing, SOWs, presentations, negotiations, client communication, change management, and project handoffs. Build long-term relationships, identify upsell opportunities, and ensure delivery quality, scope alignment, client satisfaction, and revenue growth while working remotely across time zones.

Manage and optimize B2B paid social campaigns across LinkedIn, Meta, and Reddit. Responsibilities include campaign execution, budget and bid management, audience and creative testing, conversion tracking, performance reporting, and strategic recommendations supporting demand generation and pipeline goals. Collaborate with Demand Generation, Creative, and Web teams while monitoring platform trends and identifying optimization opportunities.

Leads FP&A, budgeting, forecasting, long-range planning, SaaS metrics, management and board reporting, cash flow analysis, and financial business partnering. The role improves finance systems, automation, data governance, and AI-enabled workflows while mentoring the finance team and supporting strategic decisions, operational excellence, and organizational growth.

Owns a named territory of community and regional health systems, developing executive relationships and leading consultative, multi-stakeholder enterprise sales. Responsibilities include conducting site visits, building system-specific business cases, presenting financial, operational, and clinical value to C-suite buyers, managing 6–12-month sales cycles in Salesforce, coordinating subject-matter experts, and contributing to the regional sales playbook. The role requires extensive territory travel and frequent engagement with healthcare executives.

Leads FP&A, budgeting, forecasting, long-range planning, SaaS metrics, management and board reporting, cash flow analysis, and financial systems improvement. Partners with executives and functional leaders on strategic decisions, investments, and accountability. The role also drives automation and AI-enabled finance workflows, improves data governance and operational efficiency, and mentors the finance team while scaling processes in a high-growth B2B SaaS company.

Own the B2B product experience from enterprise enrollment through renewal and expansion. Lead customer discovery, intake, roadmap prioritization, enterprise integrations, onboarding, engagement, analytics, and AI-powered learning insights. Partner closely with sales, customer success, engineering, legal, and enterprise customers to deliver admin tools, reporting, LMS and SSO integrations, measurable learning outcomes, and improved activation, retention, and expansion.

Plans, develops, supervises, and promotes citywide athletic and recreation programs, including youth sports, camps, tournaments, and facility operations. Coordinates registrations, staff, volunteers, vendors, schools, agencies, and community organizations; manages budgets, records, reporting, training, communications, and program quality. Provides daily oversight of the municipal gymnasium and athletic fields and supports accreditation, fundraising, public relations, and emergency preparedness requirements.

Own retention, renewals, churn prevention, and expansion for a high-volume, low-touch B2B SaaS customer segment. Handle cancellation and commercial requests, respond to automated outreach, identify expansion opportunities, maintain Salesforce records and forecasts, and monitor performance metrics. Partner with CX, Billing, and RevOps while improving automation, messaging, and customer engagement processes.

Develop and deploy statistical and machine learning models, conduct exploratory analysis, forecasting, segmentation, experimentation, and AI initiatives. Translate business needs into analytical frameworks, KPIs, predictive insights, and recommendations. Collaborate with data engineering, BI, QA, and business teams to ensure data readiness, model integration, quality, governance, and auditability. Support revenue, marketing, financial, and operational decision-making through scalable analytical solutions.

Analyze banking and financial crime data, develop and tune statistical and machine learning classification models, evaluate model performance, identify data quality issues, and recommend optimization strategies. The role uses Python and SQL for feature engineering, statistical modeling, automation, and large-scale data processing. Responsibilities also include documenting methodologies, reporting results to management and regulators, and collaborating with compliance, technology, business, and model governance teams.