Top Tech Jobs & Startup Jobs in Cincinnati, OH

The Director of Business Development will identify strategic partnerships, grow government military opportunities, engage customers, and oversee successful program delivery.

Lead and oversee all external and internal financial reporting, including audits, tax filings, bond and CHIA reporting, consolidated month-end close, and Board materials. Serve as technical accounting authority on US GAAP, maintain internal controls, coordinate external audits and tax advisors, and drive process and technology improvements to improve reporting efficiency and accuracy.

Lead and mature the organization's GRC program by maintaining risk registers and control frameworks, driving compliance monitoring, coordinating third-party/vendor risk assessments, applying risk scoring and maturity tracking, managing GRC artifacts (Excel/SharePoint), translating findings for executives, and partnering with stakeholders to implement security policy and process improvements in a regulated healthcare environment.

The Senior Backend Engineer will design and build backend systems for a multi-cloud platform, ensuring performance, scalability, and high quality while collaborating with various teams and stakeholders.

The Senior Director, Analytics Services leads analytics delivery, manages customer strategies, and integrates AI solutions while driving team performance and operational excellence in healthcare analytics.

As a Sales Development Representative, you will identify and develop new sales opportunities, engage with prospective customers, and support pipeline growth in the pharma-tech sector.

Lead the deal desk to structure, review, and approve complex SaaS commercial agreements. Partner with Sales, Legal, and Finance to design pricing, discounts, and terms; evaluate deal ROI and compliance; coach sales on best practices; streamline processes to reduce deal cycle time and improve governance.

Own and operate the martech stack and marketing data pipeline: standardize naming/taxonomies, ensure data hygiene, manage lead scoring/routing, administer CRM/MAP/CDP integrations, enforce compliance, build playbooks, and partner with Sales Ops and Data Engineering to keep marketing data trustworthy and audit-ready.

Lead organic growth and AI visibility strategies, optimizing site structure, schema, and content for search engines and generative AI. Conduct semantic keyword research, manage technical SEO (crawlability, page speed, mobile-first), collaborate with product marketing and content teams, and track organic performance using analytics and AI tracking tools.

Own and optimize multi-channel lifecycle programs and automation to drive activation, engagement, retention, and revenue. Build nurture sequences, onboarding flows, segmentation, lead scoring, triggers, and reporting; collaborate with Product, Sales, RevOps and Customer Success to improve handoffs and conversion.

The Databricks Solutions Architect will lead the design and implementation of scalable solutions on Databricks, engage with customers, provide technical leadership, and optimize performance for data processing and AI workloads.

Provide tactical SaaS implementation and onboarding support: manage and resolve tickets, perform system configurations and QA testing, coordinate escalations across teams, support annual enrollment workflows, maintain documentation and knowledge base, and assist Implementation Consultants and Project Managers to ensure timely, accurate client launches and operational excellence.

Lead outbound prospecting and manage pipeline across asset management clients. Support full sales lifecycle including discovery, solution scoping, PoCs, proposals, and renewals. Coordinate with product, engineering, and legal; maintain client relationships and contribute product feedback and market insights.

Execute and QA lifecycle marketing campaigns across Braze and HubSpot, manage segmentation and CRM hygiene, pull campaign performance from analytics, maintain automation and integrations, document processes, and collaborate cross-functionally to optimize acquisition, engagement, and retention.

Take escalations from L1 and the ticket queue to resolve moderately complex issues (data validation, workflows, configuration). Use SQL to investigate data and validate reports, document findings, escalate cleanly to L3, expand the internal knowledge base, assist frontline support as needed, and apply basic scripting (Python/JavaScript) to reproduce or check issues.