Top Remote Jobs in Cincinnati, OH

Own the therapist compensation and incentive product for a large two-sided healthcare marketplace. Define network supply needs, design economic mechanisms, model marketplace dynamics, run controlled experiments, measure business impact, and optimize therapist availability, matching, and continuity of care. Partner cross-functionally with finance, clinical, legal, marketing, data science, operations, and product teams while setting long-term strategy and owning key performance indicators.

Leads a portfolio project management team, setting strategy for enterprise initiatives and managing resources, risks, interdependencies, stakeholders, and delivery. Oversees project planning, team formation, methodologies, metrics, ROI, and continuous process improvement. Guides project managers and analysts, collaborates with business and IT teams, and ensures project quality and business value across concurrent programs.

Software Engineer Interns collaborate with software and test engineers to code, debug, document, develop automated tests, and implement software components. They translate user stories and requirements, support technical design and planning, and participate in testing and implementation within an Agile environment. The 10-week remote program provides practical experience to students pursuing technical degrees, with exposure to enterprise integration, APIs, event streaming, data integration, and generative AI tools.

Provides timely, accurate customer support through phone, in-person, and online channels. Resolves routine and complex inquiries, complaints, transactions, and claims; explains products and services; documents interactions; identifies trends; and escalates broader issues. The role may support sales representatives, attend client or benefits meetings, and process payments. Requires flexible shift availability, strong communication and problem-solving skills, multitasking across software systems, and occasional overnight travel.

Owns end-to-end technology recruiting across software engineering, AI/ML, data, IT, information security, and technical operations. Partners with technology leaders on hiring strategy, sources specialized talent, improves assessment and candidate experience, uses recruiting technology and AI automation, and serves as the internal technology talent expert.

The Partner Marketing Specialist will scale PDQ’s reseller partner program through enablement assets, partner communications, recruitment and activation campaigns, co-hosted events, and tradeshows. The role tracks engagement and campaign performance, supports core partner programs, and collaborates with Sales, Product Marketing, and Operations. Candidates need B2B SaaS marketing experience, event execution skills, campaign and asset development experience, comfort with AI tools, strong communication skills, and willingness to travel 20–35% of the time.

Build and operate scalable batch and streaming data pipelines, dimensional models, ELT/ETL workflows, and trusted data products. Improve data quality, observability, reliability, performance, security, and cost efficiency across the cloud data platform. Partner with analytics, risk, finance, product, data science, and machine learning teams to support business and AI use cases. Lead technical initiatives, influence architecture, mentor engineers, and establish engineering best practices.

Lead end-to-end product design for repayment experiences across mobile and web. Design payment rescheduling, early payoff, reminders, and personalized financial assistance while collaborating with Product, Engineering, Data, Risk, Compliance, and Finance. Incorporate AI tools into research, prototyping, validation, documentation, and design operations; create scalable workflows, interpret metrics, validate hypotheses, communicate trade-offs, and improve post-launch experiences.

Lead Finance transformation initiatives by identifying high-friction workflows, building AI-enabled automations, and delivering measurable improvements. Own projects from problem definition through implementation, testing, adoption, governance, and impact measurement. Partner with Finance, Data, Engineering, Compliance, and platform teams to translate business needs into scalable solutions, manage risks and dependencies, and communicate recommendations to senior executives. The role is hybrid, requiring three days weekly in the Union Square Manhattan office.

Develop and manage strategic life science customer accounts, build trusted relationships, identify growth opportunities, and drive sales from prospecting through deal closure. Prepare proposals, negotiate business arrangements, present tailored solutions, achieve sales and margin goals, maintain technical product knowledge, gather market feedback, and coordinate with internal sales teams. The role requires extensive travel and collaboration with pharmaceutical, biotechnology, and diagnostics customers.

Leads BioIVT’s global Client Services organization across customer support, quoting, order processing, and key account services. Sets global strategy, service standards, KPIs, workforce plans, escalation processes, and continuous improvement initiatives. Oversees technology optimization, automation, compliance, customer satisfaction, and operational efficiency. Builds and develops globally distributed teams, partners with Sales and Operations, manages executive escalations, and strengthens long-term client relationships.

Manages strategic customer accounts, builds executive relationships, develops account growth plans, drives sales and contract negotiations, forecasts demand, resolves customer issues, and closes new business. The role partners with internal teams to deliver tailored solutions, achieve customer satisfaction, and generate profitable revenue growth across assigned accounts. Extensive travel and leadership within the North American Sales Leadership Team are required.

Leads complex B2B and B2C marketing technology implementations, translating customer and business requirements into scalable journey orchestration, personalization, experimentation, and automation solutions. Develops technical designs, APIs, data structures, testing deliverables, and optimization strategies while consulting with executive stakeholders and collaborating with Product, Engineering, sales, and delivery teams. Supports risk management, roadmap feedback, mentoring, and reusable implementation practices.

Leads secure, scalable customer data architecture across Adobe Experience Platform and cloud environments. Designs data strategies, models, governance frameworks, ingestion and integration solutions, migrations, and real-time customer profiles. Partners with data engineers, Adobe, and clients to address data quality, security, privacy, performance, and regulatory requirements. Uses SQL, scripting, APIs, and Postman to support implementation and automation while providing technical leadership across multiple customer projects.

Leads enterprise client implementations and optimization of Adobe Experience Platform solutions, including CJA, RTCDP, Edge Data Collection, and Adobe Analytics. Translates business requirements into technical specifications, develops integrations and tag-management strategies, supports solution architecture, and delivers client documentation, presentations, and enablement. Mentors internal and client teams, contributes thought leadership, and maintains project records. The role is remote, contract-based, and requires travel up to 30%.

Own the franchise candidate marketing funnel from paid acquisition through application. Design candidate journeys, manage FranConnect CRM workflows and automated nurture sequences, optimize lead quality, conduct qualification calls, and analyze attribution and conversion performance. Lead LinkedIn strategy, web content, sales enablement materials, events, and cross-functional marketing projects while managing timelines, budgets, testing, and reporting.

Own Mux’s end-to-end data platform, including ingestion, Snowflake administration, dbt transformations, orchestration, data quality, observability, and reverse ETL. Build semantic models supporting AI agents, establish governance and reliability standards, and partner with Engineering, Finance, Product, and GTM. Use AI coding tools to develop and maintain pipelines while validating output quality. The role requires strong SQL, Python, data modeling, cloud warehouse administration, and production data engineering experience.

Manage and scale AWS infrastructure and Ruby on Rails applications; improve reliability, performance, observability, and automation. Responsibilities include Infrastructure as Code, Kubernetes operations, monitoring, code review, production debugging, capacity planning, incident response, and partnering with feature engineering teams to deploy and operate services safely.

Own and optimize Fleetio’s outbound technology stack, including integrations, data quality, targeting, automation, AI-powered prospecting, and performance measurement. Partner with Sales, Marketing, Business Development, Enablement, and Data Engineering to improve outbound workflows, train teams, define KPIs, and scale effective GTM technologies.