Top Tech Jobs & Startup Jobs in Richmond, VA

Lead and manage a specialized Product Management pod owning the Predictive Platform. Define strategy, roadmap, model training/measurement standards, and cross-model initiatives to scale core predictive engines across the product ecosystem. Serve as player/coach, partner with leadership, and ensure data-to-model integrity and platform reuse.

Lead and grow a pod of Product Managers while personally owning the AI OS orchestration layer. Drive architecture for state management, tenant routing, SDKs, model routing and cost/compute strategy. Define evaluation, trust, and security standards, modernize developer experience, and partner with leadership to turn AI strategy into scalable platform operations.

Lead the roadmap and delivery of specialized ML models and applied intelligence for verticalized B2B marketing use cases. Partner with data science, stakeholders, and customers to define domain-specific requirements, build leveraged modeling solutions, and measure real-world revenue impact. Translate core predictive engines into productized features that scale across industries.

Own the full sales cycle for net new mid-market ERP business: prospect, qualify publisher and self-generated leads, collaborate with pre-sales and services, build proposals, demo solutions, and consistently hit revenue targets.

Lead state-level go-to-market strategy for K-12 public sector sales, build executive relationships with state education leaders, win complex multi-year contracts and cooperative purchases, drive revenue through RFPs and legislative funding, align cross-functional teams, and use CRM and analytics to forecast and optimize statewide adoption and performance.

Design, architect, and scale high-throughput backend systems for billing, payments, fraud detection, workers, queues, and data pipelines. Own end-to-end implementation from ingestion (ClickHouse) through rating, invoicing, and reconciliation, build TypeScript/GraphQL APIs, manage long-running workflows (Temporal), contribute to OSS, and participate in on-call rotations.

Support Oracle HCM implementation and modernization efforts by assisting with configuration, requirements analysis, testing, documentation (CDRLs), project administration, data validation, and client workshops while collaborating with senior consultants and technical teams.

As a Senior Backend Engineer at Edia, you will architect backend systems, supervise AI coding processes, and enhance AI-driven business automation.

Own end-to-end pursuit of strategic enterprise accounts: win new logos and drive expansion via account plans, stakeholder mapping, structured qualification (e.g., MEDDPICC), technical and executive engagement, disciplined forecasting, CRM hygiene, and clean handoffs to Account Management and Customer Success.

The Enterprise Account Executive manages the full sales cycle, engages with stakeholders in complex enterprise environments, and drives growth in research-focused sectors.

The Director, Analytics Infrastructure & Pipeline Operations is responsible for creating automated data pipelines and centralized feature stores for data science, leveraging AI technologies to optimize workflows and ensure data quality.

The Director, Analytics Standards & Impact Measurement oversees AI/ML standards, quantifies analytics impact, and ensures compliance within commercial analytics initiatives.

The Customer Success Manager will educate clients on creative strategy, build relationships, and help maximize their use of Motion's platform through engagement and tailored support.

The Senior Software Engineer will focus on backend development, designing and maintaining APIs and services, collaborating on features, and enhancing integrations at Motion.