Top Tech Jobs & Startup Jobs in Cincinnati, OH

Provide autonomous HR generalist support across international markets: develop and localize policies and contracts, ensure statutory compliance, build SOPs and HR capability, manage employee relations and lifecycle processes, standardize HR reporting, own onboarding, and maintain organized HR records across jurisdictions.

Design and ship Family Engagement product experiences by collaborating with PMs, researchers, and engineers. Maintain and evolve the design system, run user and competitive research across US/MENA/LATAM, and use analytics (Amplitude, Snowflake, DataDog) to inform data-driven product decisions. Iterate quickly, prototype with AI-assisted tools, and deliver responsive web and mobile designs that improve educator, student, and family experiences.

Design and implement self-contained software-engineering problems for AI coding agents. Build and configure Docker development environments, write deterministic automated tests, create reference solutions, and verify reliable automated grading. Work remotely using command-line tools and GitHub; participate in a one-time paid skills assessment.

Lead and scale a multidisciplinary engineering organization building real-time, AI-driven spatial computing applications. Define technical strategy, oversee architecture, ensure platform scalability and reliability, collaborate cross-functionally, and cultivate engineering culture and talent.

Build and maintain versioned, staged data pipelines that ingest and conflated complex retail and spatial data into high-fidelity, production-ready outputs. Implement pragmatic AI (LLMs + rules/regex) for entity resolution, ensure schema and pipeline versioning, and design cost-effective, scalable solutions for retail-scale datasets.

Perform cross-product credit analytics to inform underwriting, limits, and portfolio strategy. Build customer credit profiles, run experiments (A/B tests), uncover insights, recommend and execute policy changes, and communicate results to leadership. Leverage internal and external data, predictive techniques, and AI tools to optimize approvals, risk, and product performance while balancing growth and loss.

Lead and optimize sales processes, territory planning, RFP and Bid Desk reviews, Salesforce enhancements, data quality, and sales tech stack. Deliver metrics, automate alerts, collaborate cross-functionally, and use AI tools to improve AE/CSM productivity and sales efficiency.

Drive net-new revenue by selling Fieldwire to small and mid-sized construction accounts. Prospect, present, and demo product, manage multiple deals, maintain accurate Salesforce records, forecast reliably, and collaborate with cross-functional partners to meet sales targets.

Own and scale full-funnel demand generation programs—build multi-channel campaigns (email, paid, webinars, ABM), manage Pardot and Salesforce lead operations, track attribution and ROI, run ABM targeting enterprise accounts, partner with sales and content, and deliver analytics and dashboards to optimize pipeline conversion.

Lead test strategy and automation for a high-transaction healthcare platform. Define and execute scalable automation frameworks (UI, API, integration), integrate tests into CI/CD, identify systemic quality risks, mentor engineers, influence architecture and testability, and promote AI-enabled testing practices to improve test coverage, defect analysis, and release confidence.

Senior Quality Engineer responsible for designing and maintaining scalable automated test frameworks, executing functional/regression/performance tests, analyzing results, documenting QA activities for compliance, collaborating with cross-functional teams, and mentoring junior engineers to improve automation quality.

Designs, implements, and maintains cloud and on‑prem network infrastructure with IaC (Terraform/CloudFormation/Ansible), supports AWS environments, builds CI/CD pipelines, authors technical documentation, troubleshoots escalations, and collaborates with Cloud Architects and product teams in a remote Agile environment.

Lead design, development, and productionization of ML and LLM systems for patient- and provider-facing healthcare products. Own end-to-end workflows: problem scoping, data, modeling, evaluation, deployment, monitoring, and clinical guardrails. Build evaluation frameworks, infrastructure, and tooling; partner with clinicians and product; mentor engineers and set technical direction to deliver safe, impactful AI features for clinical care.

Design, build, and productionize ML and LLM systems for patient- and clinician-facing products. Own end-to-end workflows from problem scoping, data and evaluation, training and inference infrastructure, to monitoring and product impact. Define technical strategy, mentor engineers, and collaborate with clinicians and product to ensure safe, effective models.