Top Tech Jobs & Startup Jobs in Tampa Bay, FL

Own and evolve AWS cloud infrastructure supporting a financial and hospitality technology platform. Design highly available systems, deployment pipelines, observability, security controls, and infrastructure migrations. Lead incident response, reliability planning, capacity management, and root-cause analysis while participating in on-call rotations. Partner with application engineers, establish infrastructure standards, and mentor platform engineers as the organization scales.

Partners with enterprise Account Executives and sales leaders to qualify and close complex travel technology deals. Demonstrates Navan’s platform, presents value propositions to travel managers, conducts strategy sessions, scopes solutions, runs proof-of-concepts and workshops, produces business value assessments, and supports pipeline progression. The role also enables Account Executives, provides competitive insights, and shares feedback with product and operations teams while contributing to sales quota attainment.

Target and close new business with large strategic and Fortune 1000 customers. Prospect independently, build territory relationship maps and pipeline, understand customer needs, sell cloud and observability solutions based on value and ROI, negotiate enterprise terms, expand existing accounts, develop business drivers, and maintain accurate forecasts. The role requires 5+ years of enterprise or mid-market closing experience, proven $1M+ sales performance, $100K+ average deal sizes, SaaS or IT infrastructure experience, and regular client travel.

Own month-end close, journal entries, reconciliations, accruals, accounts payable, expenses, corporate cards, and audit readiness. Partner with the Controller and Engineering to automate Finance workflows using AI and automation tools. Evaluate and implement Finance technology, support budgeting, forecasting, reporting, and complete process-improvement projects in a SaaS environment.

Define and execute the product vision and roadmap for Runpod’s AI cloud platform, including GPU infrastructure, serverless endpoints, APIs, foundational services, and developer experience. Lead and scale the product and design organization, engage customers, partner with engineering and infrastructure leadership, establish pricing and packaging, guide go-to-market strategy, and prioritize initiatives using product analytics and customer insights.

Own motion design for brand videos, product explainers, campaigns, and events. Translate technical product concepts into clear visual stories through UI animation, data visualization, abstract sequences, typography, and motion systems. Collaborate with brand, product marketing, design, product designers, and video editors from concept through delivery while establishing Fieldguide’s motion language and animation standards.

Own partner-network relationships after agreement signing, managing onboarding, contractual commitments, co-marketing, advisor adoption, and network penetration. Drive net-new bookings, expansions, trials, conversions, webinars, demos, and enablement activities. Track activation and pipeline metrics in Salesforce, coordinate with strategic partnerships, marketing, sales, account management, RevOps, and product teams, and forecast bookings across multiple financial-advisor networks.

Build Mimica’s product marketing function and own product positioning, messaging, go-to-market strategy, launches, market research, customer narratives, sales enablement, and marketing collateral. Partner closely with Product, Sales, Content, Demand Generation, and other teams to translate technically complex AI and enterprise software capabilities into compelling stories for varied industries, personas, use cases, and customer segments.

Build production AI agents and agent-powered features from research and prototyping through deployment. Develop evaluation infrastructure with golden datasets, regression suites, and offline/online scoring. Own retrieval and context pipelines, production instrumentation, failure taxonomies, and cost and latency budgets. Partner with data science and product management on experiments and agent behavior, while establishing LLM engineering patterns, guardrails, and reusable tooling.

Manage high-volume pre- and post-sales marketing deliverables, translating AI, data, identity, and platform capabilities into client narratives, proposals, presentations, and enablement materials. Partner cross-functionally on product marketing, positioning, sales training, field marketing, events, and thought leadership. Develop scalable collateral libraries and explore AI-powered tools and workflows to improve marketing and sales efficiency.