Top Remote Senior Level Jobs in Columbus, OH

Lead end-to-end delivery of complex enterprise SaaS implementations: define scope, timelines, governance; manage stakeholders and cross-functional teams; maintain timelines, risk logs, and change control in Salesforce; drive on-time go-lives, customer satisfaction, and handoff to Customer Success while improving implementation processes.

Own and govern the Professional Services delivery methodology, tooling, and escalation frameworks. Maintain portfolio health reporting, run RCA post-implementation, enforce PS tooling adoption, and develop implementation playbooks for different customer segments. Drive consistency across IMs and CSMs to reduce churn and improve go-live outcomes.

Lead day-to-day accounting operations and a team of four accountants. Own month-end/quarter/year-end close, reconciliations, technical US GAAP accounting, audit support, and payroll accounting. Drive automation using LLMs/AI, implement process improvements with Netsuite/Workday/Ramp, and partner cross-functionally on strategic accounting projects and audit readiness.

Lead social strategy and execution across Southeast Asia, Taiwan, and Korea to drive audience growth, fandom engagement, and brand affinity. Oversee localized content, creator and influencer programs, agency relationships, platform partnerships, social listening and analytics, community governance, and campaign performance measurement. Serve as regional partner to marketing, content, PR, and CX teams to deliver integrated social-first campaigns and fandom programs.

Lead strategy and roadmap for AI-powered SaaS features; collaborate with engineering, data science, UX, and GTM teams to define problems, run discovery and experiments, manage backlogs, deliver product outcomes, and drive post-launch adoption and performance improvements.

Lead strategy and delivery of AI-powered, agentic product features for a SaaS insurance platform. Define roadmaps, KPIs, ROI, and success criteria; collaborate with engineering and data science to prototype, test, and launch; drive adoption, mentor junior PMs, and align cross-functional teams from discovery through GTM.

The Sr. Machine Learning Engineer will develop and deploy ML solutions for healthcare, manage data pipelines, and work with large datasets to enhance healthcare delivery.

Drive sales strategy and enablement for Cox Automotive clients by advising sales leaders, delivering financial and client intelligence analyses, building analytic frameworks, supporting high-level client engagements, and managing tools and resources to improve sales engagement, adoption, and revenue retention.

The Commercial Title Examiner conducts title searches, resolves defects, and ensures property titles are clear for energy projects, acting as a subject matter expert.

As a Staff Applied ML Scientist, you will develop and maintain fraud detection models, conduct research on fraud types, and collaborate across teams to drive product development and real-time decision-making.

Responsible for selling SentiLink solutions to financial institutions, driving value post-sale, and building long-term relationships with partners.

As a Senior Applied ML Scientist, you'll develop fraud detection models, research new fraud types, and write production code while collaborating across teams to enhance SentiLink's identity verification solutions.

Manage day-to-day execution of assigned clinical program(s), translate strategy into actionable roadmaps, coordinate cross-functional teams (Clinical, Ops, Analytics, Client Success), monitor performance metrics, partner with analysts to drive data-informed improvements, support client reporting and reviews, and maintain program documentation and playbooks to ensure consistent, measurable outcomes.

The Senior Product Manager will own the strategy and execution of Toast's configuration platform, collaborating with engineering, design, and customer teams to enhance the user experience and support diverse business needs.

Design, build, deploy, and maintain scalable, resilient backend services for a Voice AI platform. Lead cross-cutting projects, make architectural decisions, integrate AI platforms, implement observability and evaluation frameworks, and mentor engineers.