Florence Healthcare

HQ
Atlanta
Total Offices: 2
242 Total Employees
Year Founded: 2014

Jobs at Florence Healthcare

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14 Hours AgoSaved
In-Office
Atlanta, GA, USA
Healthtech • Software
Leads Florence’s global B2B SaaS marketing strategy, organization, budget, brand positioning, demand generation, account-based marketing, product and customer marketing, and go-to-market programs. Builds a high-performing marketing team, drives measurable pipeline and revenue, develops messaging and competitive positioning, supports sales enablement, and strengthens the company’s presence in healthcare and life sciences.
7 Days AgoSaved
In-Office
Atlanta, GA, USA
Healthtech • Software
Owns day-to-day marketing operations across HubSpot, Salesforce, and the broader GTM technology stack. Responsibilities include lifecycle governance, campaign execution, lead scoring, ABM programs, data enrichment, cross-platform troubleshooting, dashboards, attribution, governance, training, and workflow rollouts. The role partners closely with Marketing, Sales, Revenue Operations, and GTM Systems to improve data quality, campaign performance, funnel reporting, and operational efficiency.
7 Days AgoSaved
In-Office
Atlanta, GA, USA
Healthtech • Software
Lead the design and delivery of scalable batch and real-time data pipelines across AWS, Snowflake, PostgreSQL, MongoDB, dbt, and Kafka. Establish standards for data modeling, governance, security, testing, observability, and reliability. Build trusted datasets and semantic layers for BI, analytics, AI/ML, RAG, and LLM applications. Drive platform optimization, data integration, MDM, technical strategy, mentoring, and cross-functional collaboration.
One Month AgoSaved
In-Office
Atlanta, GA, USA
Healthtech • Software
The AI Automation Manager will lead AI transformation efforts across the organization, driving automation processes and ensuring successful project execution while collaborating with various teams to enhance efficiency and ROI.
2 Months AgoSaved
In-Office
Atlanta, GA, USA
Healthtech • Software
Lead design, development, and delivery of production-ready AI capabilities and platforms. Provide hands-on technical leadership, mentor AI engineers, drive MLOps and model lifecycle practices, evaluate and integrate LLMs and AI frameworks, and collaborate cross-functionally to ensure secure, scalable, and compliant AI solutions.