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

Own product analytics and customer success data domains by building governed models for product usage, feature adoption, customer health, onboarding, renewals, churn, expansion, and net revenue retention. Partner with Product, Customer Success, RevOps, Finance, and analysts to create semantic models, metric definitions, instrumentation, documentation, alerting, and self-service tools. Use dbt, Snowflake, Omni, Hex, and AI-assisted development to turn ambiguous stakeholder questions into durable data products.

Staff Data Engineer will set technical direction and build Eve’s scalable data platform. Responsibilities include Snowflake administration, role-based access, governance, ingestion, dbt modeling and orchestration, Terraform infrastructure, observability, schema change detection, reliability practices, and CI standards. The role also mentors engineers and analysts, supports AI-assisted development, and establishes secure, reliable workflows for product, case, customer, and go-to-market data.

Own Eve’s go-to-market data models and semantic layer for governed metrics including pipeline, conversion, CAC, win rate, ARR, and bookings. Establish certification frameworks, modeling standards, documentation, alerting, and analytical application patterns across the organization. Partner with Sales, Marketing, Customer Success, and RevOps stakeholders, resolve conflicting metric definitions, enable AI-grounded data tools, review contributions, and mentor analytics engineers.

Leads a team of Strategic Account Executives selling SaaS solutions to Fortune 500 and other enterprise customers. Responsibilities include hiring, coaching, account and territory planning, pipeline management, forecasting, revenue attainment, sales enablement, CRM adoption, and direct involvement in high-priority deals. The role partners cross-functionally with Sales Development, Sales Engineering, Product, Marketing, Customer Success, Legal, and Sales Operations.

Manage cross-functional event projects from planning through execution, including timelines, budgets, dependencies, vendors, venues, promotional materials, and on-site logistics. Identify risks, resolve blockers, communicate status and run-of-shows, and improve event workflows. The role supports field marketing events, trade shows, sponsorships, virtual experiences, and multiple simultaneous initiatives while coordinating Marketing, Sales, and external partners.

Lead Adobe Journey Optimizer architecture, governance, configuration, and implementation for client marketing automation and journey orchestration projects. Translate business needs into technical requirements, data schemas, integrations, customer journeys, and campaign activations. Partner with AEP/CDP architects and engineers on data ingestion, event pipelines, testing, deployment, and platform support. Serve as the technical subject matter expert, oversee system health and access controls, create architecture documentation, and contribute to marketing technology roadmaps and reusable delivery assets.

Manage presales deliverables and develop client-specific marketing solutions for Zeta’s programmatic advertising platform. Partner with sales, product, data, and subject-matter experts to create proposals, narratives, presentations, sales collateral, thought leadership content, and proposal frameworks. Apply programmatic advertising, audience targeting, data, and identity expertise to client recommendations while coordinating multiple projects and maintaining high-quality deliverables.

Drive full-cycle enterprise sales for flexible labor solutions across hospitality, catering, food service, venue, and event organizations. Prospect and close strategic accounts, manage complex multi-stakeholder buying processes, build accurate pipelines, develop account plans, communicate labor ROI, and collaborate on proposals and proofs of concept. Represent WorkWhile at industry events and executive meetings while exceeding quota and expanding strategic customer relationships.

Advise U.S. government customers on GitLab’s DevSecOps platform throughout the presales cycle. Responsibilities include technical demos, presentations, workshops, proof-of-concept and proof-of-value delivery, proposal and audit support, solution design, customer success planning, stakeholder relationship building, value stream assessments, and communicating customer feedback to internal teams.

Advises U.S. government customers on GitLab’s DevSecOps platform throughout the sales cycle. Leads technical evaluations, tailored demos, workshops, proofs of concept and value, proposal input, and deployment handoffs. Partners with sales and cross-functional teams to develop account strategies, build customer relationships, conduct value stream assessments, and communicate customer feedback internally. Requires technical pre-sales or consulting experience, GitLab and DevSecOps knowledge, cloud experience, and strong communication skills.

Provides executive-level technical advisory and pre-sales guidance to public sector customers on DevSecOps, application security, compliance, cloud platforms, and secure software delivery. Builds relationships with technology and security leaders, delivers thought leadership, supports government publications and standards discussions, partners with sales, marketing, and product teams, and translates field feedback into strategy, enablement, and technical content. This is a remote individual contributor role without direct people management responsibilities.

Own the vision, roadmap, and delivery of internal SOC tooling, including analyst UX, response workflows, investigation models, and automation. Partner with SOC leadership, engineering, design, and product teams to transform manual processes into scalable workflows. Define requirements, interfaces, operational metrics, and investment cases while improving analyst throughput, time-to-close, and delivery repeatability. The role requires deep SOC operations knowledge, cybersecurity product management experience, and expertise building operator-facing platforms and AI-enabled products.

Build, monitor, and scale resilient cloud infrastructure across multi-region and multi-cloud environments. Develop Kubernetes controllers and infrastructure tools using Go, Python, Ruby, and Terraform; maintain Datadog observability; diagnose complex production performance and reliability issues; automate failover and capacity management; and collaborate with engineering teams on architecture and infrastructure improvements.

Leads the architecture, design, deployment, and operation of enterprise middleware messaging and streaming integrations. Designs multi-region, multi-datacenter platforms with geo-replication, failover, high availability, fault tolerance, and low-latency performance. Evaluates messaging technologies, establishes deployment and monitoring standards, automates infrastructure, collaborates with stakeholders, and mentors junior engineers. The role requires extensive experience with Kafka, RabbitMQ, cloud messaging services, Kubernetes, Docker, clustered environments, and resilient high-volume systems.

Build and maintain Databricks-based data platforms, including ingestion, transformation, storage, governance, data modeling, and serving pipelines. Establish medallion architecture standards, canonical data models, quality controls, lineage, schema evolution, and reliable batch or incremental processing. Improve pipeline observability, scalability, idempotency, and recoverability while moving curated data to systems such as ClickHouse. Collaborate across application and analytics teams to create durable, governed production datasets.

Analyzes intrusions and adversary activity using endpoint and security telemetry, communicates findings to customers, conducts active and passive threat hunting, and researches emerging threats. The role also improves detection capabilities, investigates cloud and identity activity, builds tools, and collaborates with cybersecurity teams to protect customer networks from threat actors.

Build and improve the Enterprise AI operating model through AI-enabled processes, operational reporting, knowledge management, stakeholder forums, intake governance, and asset registry oversight. The role translates complex program information into executive narratives, coordinates decision-making, enables cross-functional alignment, and continuously improves planning, prioritization, governance, communication, and execution mechanisms.

Develop and maintain SOAR playbooks, AI-powered workflows, and PowerShell/Python automation for Falcon Complete’s managed detection and response operations. Build security enrichment, remediation, forensic, and SIEM-integrated workflows; parse security data using JSON and regular expressions; maintain scripts with Git; and collaborate with SOC and engineering teams to improve analyst efficiency. The role also supports AI integration, incident response automation, and evaluation of emerging cybersecurity technologies.