Top Tech Jobs & Startup Jobs in Providence, RI

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.

Leads Americas Sales Finance and serves as a strategic advisor to senior sales leadership. Owns topline growth, P&L oversight, annual planning, forecasting, headcount, quota capacity, commissions, pricing, renewals, and investment allocation. Builds financial models, analyzes sales performance and channel economics, guides commercial decisions, and improves finance operating processes. Partners cross-functionally with Sales, Finance, Customer Success, and global teams to drive alignment, accountability, and profitable growth.

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.

Build and grow the insurance business by creating demand, sourcing and qualifying enterprise opportunities, developing quantified value cases, and leading complex multimillion-dollar technology sales through close. The role coordinates product, engineering, deployment, legal, security, and procurement stakeholders; informs product strategy through customer insights; and develops repeatable sales processes. Candidates need deep insurance domain expertise, enterprise sales experience, technical AI fluency, and a record of independently closing complex engagements.

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.

Coordinates veterinary professionals through the relief-to-hire process, from initial interest through offers. Manages candidate communications, materials, placement pipelines, hospital relationships, CRM records, reporting, milestones, billing coordination, and administrative follow-up. The role collaborates cross-functionally with account managers, enterprise clients, finance, hospitals, and the Relief-to-Hire team while identifying workflow improvements and supporting process rollouts.