Top Tech Jobs & Startup Jobs in Columbus, OH

Lead implementations of iQueue for Operating Rooms from discovery through configuration, validation, and rollout. Partner with hospital, clinical, operational, IT, and executive stakeholders to optimize OR workflows, scheduling, staffing, utilization, and access. Responsibilities include data analysis, solution design, product configuration, user acceptance testing, change management, risk monitoring, stakeholder alignment, and go-live readiness. Travel to customer sites is required up to 40–50%.

Owns the technical sales lifecycle for strategic enterprise accounts, including discovery, solution architecture, workshops, POCs, competitive evaluations, and technical closure. Advises VP- and CISO-level stakeholders on PKI, certificate lifecycle management, machine identity, Zero Trust, and post-quantum cryptography. Executes complex multi-cloud and hybrid-environment deployments, supports partners and sales teams, develops technical enablement materials, and provides product feedback. The role requires substantial regional travel and expertise in cybersecurity identity technologies.

Partner with finance and underwriting leaders to build financial models, forecasts, and variance analyses; produce dashboards and Power BI reports; prepare quarterly P&L and executive review materials; deliver actionable insights to support strategic decision-making and modernize FP&A reporting with BI and AI-enabled tools.

Build and scale the Account Management function for an insurance lead distribution platform. Own buyer retention, spend growth, account planning, outreach, KPI development, escalations, and feedback loops. Initially operate as an individual contributor, then establish the playbook, business case, staffing plan, and team structure for a future account management organization.

Leads New Jersey environmental investigation, remediation, compliance, and engineering projects while growing an established client book. Serves as a senior technical leader and seller-doer, overseeing proposals, pricing, project delivery, financials, regulatory coordination, technical reports, remedy evaluation, and client relationships. Provides technical oversight, mentors staff, supports recruiting, and partners with an LSRP on NJDEP alignment and project strategy.

Lead delivery across product, engineering, and QA for a distributed parking technology platform. Remain hands-on while improving system reliability, API architecture, integrations, CI/CD, testing, observability, and event-driven infrastructure. Partner with the AI team, sequence the roadmap, manage tradeoffs, and hire and develop engineers. Own production quality, incident response, scalability, and the evolution of partner-facing APIs serving booking channels and access-control systems.

Generate qualified pipeline through targeted phone, email, and LinkedIn outreach. Research enterprise accounts, identify prospects, personalize messaging, qualify inbound and outbound leads, set meetings for Sales Executives, maintain follow-up cadences, monitor buying signals, document handoffs, and meet activity and pipeline targets. The role requires Pacific Time availability and offers a growth path into closing sales.

Own and build Loyal’s FP&A function, including integrated financial modeling, clinical and CMC forecasting, annual budgeting, long-range planning, variance reporting, board materials, and cash runway analysis. Serve as the finance partner to R&D, clinical operations, manufacturing, and executive leadership. Select and implement an FP&A platform, establish planning and reporting standards, support accounting close and audits, and scale the function as the company approaches commercial launch.

Manages post-sale customer accounts, driving adoption, retention, renewals, expansion, and value realization. Develops success plans, monitors customer health metrics, conducts business reviews, resolves challenges cross-functionally, and advocates for customer needs. Uses CRM and customer success platforms to analyze usage data, identify risks and growth opportunities, and provide actionable recommendations to stakeholders.

Design and implement scalable machine learning pipelines for insurance use cases, including classical ML and LLM workloads. Lead production deployments, build reusable ML infrastructure and CI/CD pipelines, and establish observability, testing, model monitoring, drift detection, logging, and rollback standards. Mentor junior engineers, collaborate cross-functionally, manage cloud-based ML systems, and communicate technical findings to nontechnical stakeholders while maintaining insurance data compliance.