Top Tech Jobs & Startup Jobs in Richmond, VA

Leads Inato’s marketing organization and strategy, including account-based marketing for enterprise sponsors, integrated sales campaigns, product positioning, go-to-market execution, customer marketing, and advocacy programs. Establishes marketing goals and metrics tied to business outcomes while partnering with Sales, Product, Customer Success, Strategy, and executive leadership. Coaches and develops the marketing team, builds internal product marketing capabilities, and drives measurable pipeline creation, customer expansion, and market differentiation.

Own operational reporting, diagnostic analysis, capacity planning, platform administration, system changes, process improvement, and cross-functional program execution. Partner with Product, Engineering, workforce planning, vendors, training, and quality teams to improve operational performance. Lead accountability mechanisms, roadmap alignment, AI and automation initiatives, and scaled delivery while mentoring teammates and influencing without formal authority.

Serve as the on-island liaison for the .ai TLD: manage stakeholder inquiries, coordinate with GOA and Identity Digital teams, support PR/communications, deliver presentations, produce technical documentation and reports, and participate in incident reviews to ensure registry service continuity.

This position is an opportunity to fill a form for future job matching after the ASPLOS Conference with IMC Trading.

Manage a portfolio of enterprise accounts to drive renewals, identify upsell opportunities, host quarterly business reviews, resolve escalations, build executive relationships, and meet renewal/net retention quotas.

Own Arcadia’s revenue operating system, including Salesforce, forecasting, pricing, SKUs, quote-to-cash, KPI frameworks, sales compensation, and AI-powered reporting. Lead the evaluation and roadmap of the revenue technology stack while partnering with Sales, Marketing, Customer Success, Finance, Product, and Tech. Build scalable processes, improve forecast accuracy, analyze pipeline and sales efficiency, and drive predictable growth in a high-growth SaaS environment.

Leads a data science team focused on customer intelligence and personalization across digital products, apps, newsletters, and marketing channels. Develops lifetime value, segmentation, retention, recommendation, attribution, forecasting, and engagement models. Owns product funnel analytics and experimentation, including A/B testing and causal inference. Partners with Product, Marketing, Editorial, Data Operations, and Engineering to translate customer behavior into product improvements, measurable growth, and scalable data capabilities.

Develops and productionizes deep learning and machine learning perception models for robotics and recycling sortation. Responsibilities include experimenting with neural network architectures, designing computer vision solutions, conducting statistical experiments, deploying successful models, collaborating with data, modeling, and cloud infrastructure teams, and improving ML infrastructure.

Leads cross-functional operational excellence and transformation programs across multiple business domains. Responsibilities include process architecture, Lean and Six Sigma methodology application, stakeholder influence, change management, AI-assisted workflow redesign, automation governance, performance measurement, and executive communication. The role coaches stakeholders, manages complex initiatives, delivers measurable efficiency improvements, and develops sustainable operational frameworks with long-term organizational impact.

Manage and optimize paid social campaigns across major platforms, QA builds, monitor pacing and performance, troubleshoot technical issues, develop strategic plans and client-facing POVs, collaborate with cross-functional teams, and support training and documentation of paid social best practices.