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

Own GTM performance analytics, KPI and target setting, reporting, forecasting, compensation planning, and performance reviews across Sales and Post-Sales. Identify anomalies and optimization opportunities involving conversion, churn, productivity, pricing, packaging, segmentation, channel economics, and customer quality. Partner with Finance and GTM leaders to develop recommendations, lead strategic initiatives, and ensure data integrity while translating analysis into actionable business decisions.

Supports compensation operations in Workday and related HR systems by maintaining data, generating reports, conducting audits, testing system updates, and supporting annual and off-cycle compensation cycles. Coordinates documentation, meetings, trackers, templates, and leadership materials. Identifies data discrepancies, resolves issues, escalates risks, and contributes to process improvements, reporting enhancements, and administrative workstreams while maintaining confidentiality and data accuracy.

Manage GM sales and service agreements across North Central Texas dealerships. Advise dealer leadership, drive revenue, retention, customer experience, KPI performance, and program execution. Analyze marketing and merchandising plans, create annual business plans, resolve aftersales customer cases, and support warranty and policy requests. Frequent territory travel and dealership visits are required.

Manages GM dealer relationships across Vermont, New Hampshire, and upstate New York. Drives district revenue, customer retention, service and parts performance, customer experience, and KPI achievement. Advises dealership leadership, develops business plans, analyzes marketing and merchandising strategies, resolves aftersales customer cases, supports warranty and policy requests, and ensures execution of training and customer care programs. The role requires frequent territory travel and automotive dealership fixed-operations expertise.

Leads and scales Advisory, Delivery, and Support workstreams across a distributed technical services organization. Establishes shared operating standards, capacity planning, quality controls, SLAs, escalation processes, reporting, and governance. Oversees technical delivery outcomes, resource allocation, architecture quality, support coverage, hiring plans, onboarding, and partner collaboration. Partners with Enablement, Sales, Project Managers, and SI/GSI organizations to improve delivery predictability, utilization, client satisfaction, and technical excellence.

Supports semiconductor engineering projects through device testing, characterization, data analysis, process development, and optimization. Collaborates with cross-functional teams to troubleshoot technical issues and improve semiconductor design and manufacturing processes. The internship provides hands-on experience with semiconductor technology, engineering tools, and simulation software.

Develop and test AI software using large datasets, Python, JavaScript, and C++. Evaluate algorithms, statistics, and data to improve industrial applications. Collaborate with machine learning and data engineers on end-to-end AI and integration solutions, stay current with AI trends and regulations, and present project progress to leadership and stakeholders.

Develop, test, and integrate AI software for aerospace and industrial applications. Interns will use Python, JavaScript, and C++ to build AI solutions, evaluate data and algorithms, collaborate with machine learning and data engineers, monitor AI trends and regulations, and present progress to leadership and stakeholders.

Leads Mobile Service Coordinators during overnight and weekend shifts, managing daily operations, staffing, service levels, escalations, performance metrics, coaching, and employee development. The Supervisor partners with dispatch, fleet services, client success, and field teams to resolve issues, improve processes, and enhance customer satisfaction. Responsibilities also include workforce planning, onboarding, compliance, team communications, and fostering accountability and continuous improvement.

Designs and operates batch, streaming, and real-time data platforms and pipelines using Spark, Kafka, Iceberg, Airflow, and cloud infrastructure. Owns data lake evolution, data quality, observability, reliability, governance, event instrumentation, schema management, and privacy controls for PII, retention, deletion, and residency. Leads complex initiatives end-to-end, troubleshoots production issues, mentors engineers, and develops AI agent harnesses that enforce data engineering standards and quality gates.

The Strategic Account Executive drives revenue growth in mid-market accounts, serves as a trusted advisor, manages strategic sales cycles, collaborates cross-functionally, and shares market insights to enhance product development.

Design and lead the technical strategy for search across Vannevar’s products. Build and improve full-text, vector, and LLM-powered retrieval systems, optimizing latency, relevance, index quality, freshness, and performance. Collaborate with ML, product, design, and mission strategy teams to translate user needs into search innovations. Apply expertise in information retrieval, NLP, machine learning, indexing, ranking, query parsing, tokenization, vector search, and evaluation frameworks.

Lead the ToastNow engineering team in delivering high-quality native mobile experiences for restaurant operators. Drive planning, execution, cross-functional collaboration, backlog development, production quality, monitoring, and issue resolution. Hire, mentor, and develop engineers while fostering diverse, high-performing teams. Champion AI tools and practices to improve development speed, quality, and team velocity.

Lead architecture and technical execution for Toast’s Payroll and Team Management products. Own authentication, authorization, and organizational hierarchy across a multi-tenant SaaS platform. Drive high-scale, full-stack initiatives, modern agentic development practices, integrations, technical strategy, quality standards, deployment practices, and cross-functional collaboration. Mentor engineers across teams and leverage AI tools and LLM integration to improve software development velocity and quality.

Own the enterprise data platform roadmap and self-service experience for domain data teams. Define capabilities spanning catalogs, semantic layers, observability, access management, lineage, certification, and documentation. Conduct discovery with technical stakeholders, create governed paved paths and tooling, drive platform adoption, measure outcomes, and partner with Data Engineering, Platform, and Governance teams. Ensure data products remain discoverable, interoperable, and scalable as Toast’s domains mature and operate more independently.

Maintain and publish weekly contact-center schedules, align short-term forecasts to volume, update agent/team records, produce WFM performance reports, manage shift bids, analyze time-off allotments, support WFM coordinators, and liaise with supervisors and leadership to ensure coverage and staffing accuracy.