Top Tech Jobs & Startup Jobs in Cincinnati, OH

Lead Technical Support Engineer owns resolution of high‑impact escalations, performs advanced troubleshooting of cloud telephony/VoIP systems, analyzes SIP/WebRTC call flows and carrier traces, coordinates across Engineering/Product/Carriers, and mentors support engineers. Drives documentation, runbooks, incident response, and continuous improvement to improve product reliability and customer experience.

Sell new solutions into existing health-system clients by building self-sourced pipelines, finding new executive buyers, creating standalone business cases, and winning competitive expansions. Own a growth quota, drive urgency, partner with Client Success for account health, and navigate C-suite, security, legal, procurement, and contracting to close net-new solution revenue.

Drive net-new enterprise health system sales within a defined territory. Build outbound pipeline, engage C-suite and multi-stakeholder buyers, develop quantified business cases, negotiate through security, legal, procurement to close, and provide honest forecasting. Own territory strategy and execution.

Serve as a technical partner to Sales and Success to win and expand enterprise customers by delivering technical presentations, building PoVs, custom reports/dashboards, supporting RFPs, designing AI-driven workflow automations and integrations, and maintaining demos. Role supports Pacific Northwest customers and requires significant customer engagement and travel.

The Staff Product Manager at ClickUp drives vision across product areas, prototypes workflows, mentors PMs, and aligns strategies while leveraging AI tools.

Lead and build Maze’s new AI-native Market Research service: define research vision and methodologies, recruit and manage a research team, own delivery quality, partner with Product/Engineering and GTM, and serve as executive research lead on strategic customer engagements.

Lead global customer marketing to drive advocacy, retention, and customer storytelling. Build executive advisory board, source and produce case studies/videos, manage advocacy/incentive programs and peer review platforms, and collaborate with lifecycle and customer-facing teams to scale onboarding, adoption, and feedback loops that inform messaging and GTM strategy.

Lead UX for the Foundation pillar owning trial, onboarding, activation, and packaging to drive developer self-serve adoption. Manage and develop a team of 5–7 designers, set and enforce design quality, partner in the product triad with PM and Engineering, run critique culture, and coordinate cross-pillar UX work to improve activation metrics.

Serve as a technical lead in the pre-sales process: discovery, demos, PoCs, and proposals. Translate customer requirements into technical solutions, present and whiteboard, partner with sales and success to drive expansion, and liaise with product/engineering. Support security questionnaires/RFPs and maintain deep product and industry knowledge.

Lead HubSpot's Customer Reference Program end-to-end, scaling advocate recruitment, onboarding, matching, engagement, and governance. Build AI-powered workflows, partner with Sales and Customer Success, design exceptional advocate experiences, create playbooks and enablement, measure KPIs (fulfillment speed, engagement, pipeline influence), and continuously optimize program processes and reporting to support enterprise GTM motion.

Lead HubSpot's global performance partnerships across affiliate, creator, forum, and emerging AI-native discovery channels. Build scalable, experimentation-driven strategies, manage multi-million-dollar partner investments, optimize attribution and commission frameworks, and lead a global team to drive efficient ARR growth and increased AI visibility through cross-functional collaboration and data-driven decision-making.

Manage Workday Compensation end-to-end: configure and run annual/off-cycle cycles, design and test compensation functionality, ensure data integrity, troubleshoot issues, produce documentation and training, and partner with Total Rewards, HR, Finance, and Payroll to translate compensation strategy into scalable Workday configuration.

Lead strategy and execution for online and digital shopper marketing programs across Kenvue. Translate strategy into operational plans, roadmaps, and KPIs; manage budgets and resources; lead and develop teams; partner with retailers, brand, finance, and cross‑functional stakeholders; use data and insights to drive continuous improvement and measurable business outcomes.

Lead FP&A Analyst responsible for delivering forecasts, budgets, and long-range plans; preparing executive reporting and financial analyses; partnering with business finance and cross-functional leaders; driving automation, analytics, and process improvements; and coaching junior team members to support strategic decision-making and financial governance.

Build end-to-end AI systems from raw context to production agents: design agent surfaces, backends, APIs, integrations, and observability/evaluation frameworks; participate in client scoping and SOWs; drive tooling, review AI-generated code, and create reusable playbooks.

Lead end-to-end digital analytics across websites, products, and campaigns: implement and govern event and conversion tracking, ensure data integrity, build dashboards, connect campaign and CRM data to full-funnel outcomes, generate actionable insights, and support AI-enabled reporting and experimentation to improve conversion and user experience.

Design, curate, and evaluate large-scale text datasets for LLM pretraining. Build scalable ingestion, preprocessing, filtering, annotation pipelines; run data ablations and analyses; create auditing, visualization, and versioning tools; and collaborate with Safety, Ethics, and Governance to ensure dataset quality, privacy, and responsible AI alignment.

Design, implement, and optimize distributed pre-training infrastructure for large-scale GPU clusters. Profile, benchmark, and debug compute, memory, networking, and storage bottlenecks; optimize communication libraries and GPU programming stacks; collaborate with hardware and model teams to scale training, ensure reliability, and influence architecture and roadmap.

Design, deploy, operate, and tune large-scale HPC environments for AI model training. Own HPC domains (GPU compute, storage, networking), manage schedulers (SLURM, Kubernetes), build automation in Bash/Python, troubleshoot cluster performance, and partner with researchers to support high-scale training workloads.