Top Tech Jobs & Startup Jobs in Richmond, VA

Manage account health and the churn lifecycle within an Account Team pod: monitor renewal runway, identify and mitigate churn risk, coordinate cross-functionally, provide strategic guidance to customers, and meet pod-level KPIs (response time, engagement, net revenue retention).

Manage and grow relationships with independent insurance agencies across a designated territory through in-person and virtual engagement. Provide product expertise, training, local marketing support, performance monitoring, recruiting and disciplinary actions, and use data to drive agency growth and execution. Travel within territory required (40% overnight).

Build and maintain backend services and infrastructure for ML and generative AI features. Develop scalable, resilient, high-performance Python services (async frameworks, streaming), deploy to Kubernetes, integrate RAG and LLM orchestration, instrument LLM observability, and collaborate cross-functionally to deliver production-ready AI products.

Build and maintain backend services and infrastructure to support core ML/AI product features. Design scalable, resilient, high-performance systems, implement production REST APIs, deploy and manage applications (Docker/Kubernetes), and collaborate cross-functionally while coding daily.

Build and maintain scalable ML and generative AI platforms and backend infrastructure; deploy and manage production applications; create services exposing ML/AI products; implement RAG solutions and vector databases; integrate LLM orchestration and foundation model APIs; collaborate cross-functionally and mentor teammates.

Lead claims-focused QA automation, owning automation roadmap, building reusable components, enabling test data automation, mentoring engineers, defining testing strategy, ensuring in-sprint and regression automation, performing feasibility analysis, and reporting quality metrics to meet SLAs and prevent production defects.

Investigate and prevent fraud involving customer accounts and pharmacy activity by analyzing RAS/PowerLine and PMS data, conducting proactive audits, documenting findings, and collaborating with cross-functional teams to escalate issues and recommend corrective actions and policy improvements.

Serve as a trusted technical advisor in enterprise pre-sales, leading technical evaluations, discovery, and value-based demonstrations. Translate complex identity and security concepts (SSO, MFA, SAML, OIDC, IGA, PAM, Zero Trust) into business outcomes, navigate matrixed stakeholders, and drive technical closure on large-scale B2B SaaS deals while positioning Okta for AI-era identity challenges.

Lead and develop a team supporting advisor marketing programs, platform adoption, documentation, and process improvements. Own SOPs, playbooks, vendor/platform relationships, training, and AI-enabled workflow innovation. Drive operational consistency, measure performance, and partner cross-functionally to scale resources and improve advisor marketing effectiveness.

Manage sourcing, onboarding, and deployment of program personnel; collaborate with PMO and customer on resource forecasting; support financial forecasting, variance analysis, reporting, timesheet and training compliance, and process automation to improve resource and financial management.

Design, develop, and deploy AI-driven Salesforce applications, autonomous agents, intelligent workflows, and decision-support capabilities. Implement Agentforce, Einstein AI, Prompt Builder, Data Cloud, LLMs, RAG, and integrations with enterprise systems. Build human-in-the-loop experiences, AI-native UX, analytics dashboards, and scalable architectures while ensuring security, governance, and Agile/DevSecOps practices.

Lead technical design and operation of secure, highly available Kubernetes-based platforms across AWS and hybrid environments. Define IaC and GitOps standards, implement CI/CD, observability, and security controls, drive incident response and reliability improvements, and mentor engineers while communicating risks to stakeholders.

Lead strategy and execution of lifecycle marketing across email, SMS, push, and in-product messaging. Analyze customer journeys and subscription datasets to identify drop-offs and growth opportunities. Build, launch, and optimize automated onboarding, activation, engagement, retention, win‑back, and referral programs. Translate complex genomic insights into clear customer messaging, run experiments and A/B tests, and partner with Product, Data, and Engineering to improve tracking, data quality, and infrastructure.