Top Tech Jobs & Startup Jobs in Palm Bay-Melbourne-Titusville,

Sell Motive's fleet management platform to large enterprise prospects across industries. Prospect, develop executive relationships, win RFPs, coordinate technical resources, meet revenue quotas, and use customer analytics to drive expansion and integrations.

Own the full sales cycle for mid-market fleets (50–174 trucks): prospect, qualify, demo, negotiate, and close new business. Drive outbound lead generation, meet revenue quotas, collaborate cross-functionally, manage trials, and maintain accurate forecasting.

Own the three-statement financial model, monthly forecast consolidation, executive and board reporting, long-range planning, and corporate forecasting. The role partners with Finance Systems and cross-functional stakeholders to maintain planning tools, improve forecast accuracy, support AI-driven finance systems, analyze business performance, and inform strategic decisions. It requires strong financial modeling, communication, presentation, and process-improvement skills.

Manage 100–200 mid-market accounts, helping customers adopt Samsara’s IoT platform, achieve measurable operational value, and renew or expand. Build success plans, conduct operational workshops, explain technical integrations, resolve issues with cross-functional teams, and prioritize engagement using AI tooling. The role also contributes to customer success playbooks, workflows, and AI-powered operating motions.

Respond to and qualify inbound leads from marketing campaigns, website inquiries, and content engagement. Research prospects, nurture sales-ready opportunities through email and phone follow-up, schedule qualified meetings, meet pipeline and quota targets, track activity in Salesforce, and partner with marketing on lead quality and campaign performance.

Develop and monitor integrated media plans across digital, programmatic, search, and social channels. Recommend strategies, negotiate vendor inventory and pricing, manage insertion orders, monitor campaign budgets and KPIs, coordinate reporting and creative assets, and support billing. The role partners with analytics, ad operations, media buyers, finance, and client teams to drive campaign performance, client satisfaction, and retention.

Develop and operate production ML and AI systems powering patient experiences such as matching, ranking, recommendations, onboarding, and personalization. Build reusable ML infrastructure, pipelines, evaluation, observability, and model-serving capabilities. Provide technical leadership across the ML lifecycle, guide architecture, evaluate custom versus foundation-model approaches, and partner with ML and Patient Engineering teams to deliver reliable, scalable AI products.

Prospect hospitals, health systems, and medical groups through phone, email, and social channels. Research accounts, identify decision-makers, qualify inbound and outbound opportunities, schedule discovery calls and demos, and document activity in Salesforce. Partner with sales teams on territory and expansion strategies, communicate Hospital Solutions’ value, manage funnel metrics, and consistently meet or exceed meeting and pipeline quotas.

Own and improve the core learner platform to increase learning rate, retention, and engagement at scale. Prioritize an AI-first roadmap, ship AI-assisted features (AI Tutor, AI Grader), define outcome metrics, run experiments, and collaborate with Curriculum, Learning, and Engineering to deliver high-quality, engaging learner experiences.

Lead enterprise data architecture across warehouses, data lakes, downstream applications, and AI workloads. Design data models, Medallion Architecture, ELT standards, semantic layers, APIs, access controls, and reusable datasets. Partner with business and BI teams to drive adoption, conduct architecture reviews, establish platform standards, and mentor data and analytics engineers. The role requires deep Snowflake, dbt, data modeling, pipeline, and semantic-layer expertise, with experience in AI data patterns and cloud infrastructure preferred.

Architect and operate scalable backend systems, APIs, distributed services, and secure data platforms using Python and related technologies. Partner with data science and ML teams to productionize AI capabilities, lead cross-team technical initiatives, improve engineering standards, and mentor engineers. Own systems throughout the product lifecycle while emphasizing reliability, observability, performance, privacy, and data integrity.

Own technical strategy for strategic cybersecurity accounts after engagements. Lead findings readouts, technical continuity, security roadmaps, business reviews, expansion planning, program design, complex pre-sales, scoping, pricing, and service development. Partner with account executives, sales engineers, PMO, and engineering leaders to translate client security needs into multi-year programs and deliverable engagements. The role is client-facing, technical, and requires hands-on security delivery experience plus practical agentic tooling expertise.