Top Tech Jobs & Startup Jobs in Tampa Bay, FL

Design, build, and optimize high-performance backend APIs and real-time data processing systems. Scale distributed systems, debug and tune production services, participate in on-call rotation, mentor junior engineers, and collaborate cross-functionally from feature concept through deployment.

Full-cycle inside sales role focusing on prospecting, qualifying, and closing software deals. Build trusted relationships, demo Alteryx, grow pipeline via outbound/inbound outreach, manage forecasts, and collaborate on account strategies to drive revenue and expansions.

Lead development of AI-assisted product design tooling and agentic systems. Build reusable AI infrastructure, prototypes, and design-system patterns; drive adoption across Product, Design, and Engineering; mentor teams and establish responsible AI practices to scale AI-enabled product development.

Generate qualified sales opportunities via inbound leads and targeted outbound prospecting. Work with Account Executives to uncover new business, manage small deals and renewals, perform account mapping, develop prospecting strategies, and maintain high-volume outreach (50+ dials/day). Communicate business value of Alteryx to executives and line-of-business stakeholders to drive pipeline and lead conversion.

Provide high-touch administrative partnership to the COO: manage inbox and calendar, coordinate travel and meetings across time zones, track commitments and follow-ups, prepare meeting materials and reports, handle confidential information, support recurring deliverables and light research, and occasionally travel with the COO for on-site support.

Support global marketing by developing visual concepts and producing print and digital design assets. Collaborate with creative leads and cross-functional teams, implement feedback, manage project communication, and create materials for campaigns, events, social, landing pages, and merchandise while upholding brand strategy and IJM values.

Lead end-to-end development of a benchmarking capability for Kroll's KREV platform: define methodology, product roadmap, data ingestion/normalization, integration with KREV, run quarterly production cycles, coordinate engineering and stakeholders, drive pilot and GA launches, and monitor coverage, adoption, and data quality risks.

Provide end-to-end operational and policy support for the Board of Directors and committees: coordinate meetings/logistics, prepare legally defensible minutes, ensure bylaw and governance compliance, manage ethics disclosures and rosters, oversee budgets and procurement, support executives and board leadership, monitor performance and action items, and maintain confidentiality.

Lead a small data engineering team partnering with Engagement Marketing to build scalable ETL/ELT pipelines, ensure data quality, define marketing metrics, integrate trusted data with ad platforms, and drive the data roadmap to enable measurement and growth.

Designs and delivers training programs for Professional Liability underwriting. Develops curriculum and e-learning content, updates materials to reflect appetite and systems, schedules and runs virtual and in-person workshops, supports onboarding, tracks training records, and assesses skill gaps in collaboration with Underwriting Excellence.

Lead data quality efforts by querying databases, reviewing data and dashboards, investigating data inconsistencies, and partnering with engineering, analytics, finance, and compliance to improve data integrity and regulatory adherence.

Lead methodology and modeling for causal inference, experimentation, and predictive analytics. Design and evaluate experiments, build production-ready models and evaluation pipelines, collaborate with Product/Economics/Research/Engineering, communicate findings to varied audiences, and document institutionalized analytical practices.

Own technical onboarding and post‑onboarding support for market makers and institutional partners across CLOB, WebSocket feeds, RFQ gateway, and SDKs. Debug production integrations, write/maintain integration guides and code samples in Python and TypeScript, monitor integration health, and translate partner feedback into actionable product and engineering items.