Top Remote Customer Success & Experience Jobs in Orlando, FL

Drive partner health, product adoption, onboarding, training, and long-term engagement for cybersecurity clients and partners. Provide technical support, prepare partner reviews, document processes, collaborate with GTM and Product teams, and track customer health and KPIs using ChurnZero. The role requires customer-facing technical expertise, security-industry experience, strong communication, analytical skills, and independent remote work capability.

Own team-wide contract administration and renewal workflows while managing a book of B2B subscription accounts. Track renewal timelines, coordinate Account Directors, monitor retention risk, maintain Salesforce documentation, conduct renewal and pricing conversations, support onboarding and user training, coordinate account hygiene with Client Success, and identify upsell opportunities. The role partners with Revenue Operations, Sales Leadership, Client Success, and Finance in a remote environment.

Manage strategic enterprise and mid-market SaaS merchants, serving as a consultative partner and product expert. Own renewal strategy, drive platform adoption, demonstrate ROI, resolve escalations, facilitate business reviews, track portfolio metrics, and collaborate cross-functionally to improve retention, expansion, and merchant outcomes.

The Technical Account Specialist provides front-line support for customers, helping to resolve issues in the prescribing process while ensuring exceptional customer service and communication.

Manage post-sale relationships with healthcare revenue cycle management customers, serving as a trusted advisor to providers and executives. Drive engagement, retention, customer growth, KPI performance, revenue cycle improvements, billing audits, and account receivable outcomes. Coordinate internal resources across support, sales, IT, accounting, compliance, and consulting teams while conducting executive meetings and reviewing customer strategies and performance.

Manage a portfolio of B2B SaaS accounts throughout the customer lifecycle, building executive relationships, conducting business reviews, monitoring health and churn risk, and supporting renewals. Identify expansion opportunities with Account Executives, synthesize customer feedback for Product and Engineering, and advocate for customer needs. The role requires strong communication, analytical ability, attention to detail, resourcefulness, and cross-functional collaboration. Remote work is available across US time zones.

Provides technical customer support by triaging and resolving issues involving RelationalAI, Snowflake, Azure, databases, and graph technologies. Troubleshoots logs, stack traces, performance problems, environments, and client applications; communicates with technical and executive stakeholders; collaborates with Sales, Field Engineering, Product Management, and Product Engineering; and improves support processes, tools, products, and customer experience.

Own relationships and net revenue retention for 25–35 strategic enterprise healthcare customers. Drive adoption, renewals, upsells, cross-sells, executive business reviews, account planning, forecasting, and measurable customer outcomes. Partner with Support, Product, Marketing, Partnerships, Sales, and customer-facing teams to remove blockers and expand platform usage. Advise customers on healthcare data privacy and use Freshpaint, Looker, and HubSpot to monitor account health. Travel up to 30%.

Lead hands-on technical post-sales engagements, helping customers deploy, integrate, configure, troubleshoot, and operationalize Noma’s AI security platform. Translate use cases into production-ready workflows, automation, integrations, runbooks, and reusable implementation patterns. Conduct technical deep dives, resolve complex issues, coordinate escalations, enable customers, and collaborate with Solutions, Product, Engineering, Research, Security, and Support teams.

Guide enterprise customers through onboarding, integrations, adoption, and expansion of an AI observability platform. Architect deployment solutions, write custom integrations, advise data science and ML engineering teams, lead technical engagements and escalations, communicate customer needs internally, and promote model transparency, monitoring, governance, and measurable business outcomes.