Top Tech Jobs & Startup Jobs in Richmond, VA

The Associate Account Manager will manage existing accounts, pursue new business opportunities, and develop strategies to enhance client relationships and achieve sales goals.

Own product strategy, roadmaps, and complex initiatives for veterinary software platforms. Translate customer feedback and data into prioritized improvements, define KPIs, lead cross-functional execution, write product requirements, oversee QA, and drive launches and adoption. Partner with engineering, design, data, onboarding, support, veterinary clinics, and pet parents while mentoring junior product managers and influencing stakeholders. Focus on scalable, reliable products that improve user experience, efficiency, retention, and revenue.

Build and maintain governed Silver/Gold data models and semantic assets on Databricks. Translate stakeholder KPIs into testable, reusable transformations, apply enterprise modeling standards, enable domain self-service, ensure data sensitivity and governance, and review domain-contributed models for production readiness.

Build Sailor Health’s foundational data platform from scratch. Responsibilities include developing Snowflake and dbt pipelines integrating EHR, CRM, and communications data; creating data-powered web applications; automating clinical and billing workflows with Python; analyzing therapy transcripts and patient data using AI and machine learning; tracking clinical outcomes; and designing scalable data architectures in collaboration with clinicians, engineers, founders, and other teams.

Own strategic relationships with complex enterprise clients, serving as a trusted executive advisor and voice of the customer. Lead migrations from legacy travel-management technology to Navan, including scoping, implementation, go-live, and hypercare. Drive adoption, retention, compliance, training, health checks, business reviews, risk mitigation, and churn prevention. Partner with Product, Engineering, and Sales on feedback, enhancement requests, and escalations while managing stakeholder alignment and change resistance.

Leads a data science team and personally drives analyses, experimentation, and product analytics to identify patient experience improvements. Partners with Product, Engineering, Research, and Data Engineering teams to develop product features, evaluate business and product performance, guide product planning, and translate statistical findings into actionable recommendations. Manages and develops analytical talent while applying data storytelling, A/B testing, marketplace metrics, and retention, conversion, engagement, and churn analysis.

Serve as a strategic partner to the Head of Engineering and leadership team during rapid organizational growth. Own operating rhythms, improve decision-making and execution, diagnose organizational friction, and create plans for cross-functional delivery. Translate technology strategy into priorities, operating plans, and measurable outcomes. Apply AI tools to streamline processes and reduce operational toil while influencing senior technical leaders and driving sustainable organizational practices.

Lead technical sales for Zscaler’s Federal, Aerospace and Defense, and Federal System Integrator customers. Architect Zero Trust solutions, translate enterprise requirements into technical designs, and lead Proof of Value engagements from initiation through completion. Build technical champions through trusted advisory support and collaborate with Account Executives on account strategy, pipeline generation, and technical wins. The role requires deep expertise in network security, Zero Trust, SSE/SASE, and Federal customer environments.

Secure LLMs, generative AI systems, ML infrastructure, training pipelines, and AI applications. Responsibilities include threat modeling, architecture reviews, security controls, hardening, vulnerability remediation, data privacy, incident response runbooks, vendor reviews, governance, policy development, and AI security training. The role also supports proof-of-concept security solutions and monitors emerging AI threats.

Partner with account executives in enterprise pre-sales by addressing technical requirements, delivering customized demonstrations, building UAT environments, managing proof-of-concept exercises, conducting architecture and security reviews, and scoping solutions for implementation handoff. The role requires collaborating across sales, product, engineering, and professional services while supporting fintech and banking customers with identity, fraud, credit, and compliance solutions.

Pre-sales SAP technical consultant supporting late-stage sales: advise on SAP (S/4HANA, ECC) integrations, design/validate integration workflows, map financial data to SAP structures, demonstrate integration requirements, deliver POCs, and relay product gaps to engineering.