Top Remote Entry Level Jobs in San Antonio, TX

Lead and support strategic SaaS sales opportunities, particularly for Beefree SDK, while coaching sales representatives and improving sales playbooks, qualification, demos, forecasting, pipeline management, and deal execution. Partner with Product, Marketing, and Operations to sharpen messaging, identify high-intent accounts, improve campaign handoffs, and use CRM data and win-loss insights to scale a repeatable sales motion. This is a hands-on leadership role requiring continued involvement in complex technical and developer-led deals.

Lead BEC Legal Systems with full P&L ownership, setting strategy and driving profitable growth. Oversee cross-functional teams across product, sales, marketing, support, and operations while improving customer retention, operational scalability, and market position. The President will manage recurring-revenue performance, talent development, stakeholder communication, and potential mergers and integrations within the Legal Tech business.

Produces user manuals, how-to guides, reference materials, and other documentation for technical and non-technical audiences. Collaborates with developers, quality engineers, project managers, and subject matter experts to gather information and ensure accuracy. Reviews and updates existing content, researches complex technical topics, and creates clear, user-friendly documentation. The role is fully remote and requires an IT-II clearance or previous T3 background investigation.

Drive enterprise sales for NiCE Cognigy’s AI platform across the U.S. market. Build pipeline, generate ARR, manage direct and partner-led sales cycles, develop account plans, coordinate RFP/RFI responses, and close complex enterprise deals. The role requires engaging senior executives, communicating deal structures and ROI, collaborating with internal teams and channel partners, and representing Cognigy at industry events.

Own Riverside’s product education strategy and independently create polished videos from scripting through final editing. Serve as the on-camera face of the company, produce YouTube tutorials and product demos, and build Riverside University into a comprehensive learning hub. Collaborate with Product, Marketing, Design, and Social teams, communicate new features, incorporate user feedback into product development, and use content strategy to drive growth.

The posting provides no defined responsibilities or qualifications. It states that media inquiries and potential public engagement will be considered individually based on context, relevance, and timing.

The Data Governance Analyst will develop data standards, conduct quality assessments, maintain documentation, collaborate with teams, and participate in training on governance practices.

Develops and deploys machine learning systems for high-stakes decisions in pricing, claims, underwriting, and predictive health. Responsibilities span problem framing, quantitative research, experimentation, causal inference, predictive modeling, multimodal and foundation model development, agent systems, production deployment, and ongoing iteration. The role requires strong mathematical and statistical foundations, Python fluency, and expertise in machine learning, statistics, econometrics, or causal inference.

Design and implement enterprise data and lakehouse architectures for client data, cloud, and AI transformation initiatives. The role requires hands-on expertise with Databricks, Azure, GCP, Spark/PySpark, SQL, Unity Catalog, governance, Terraform, and CI/CD. Responsibilities include client-facing solution architecture, clear communication, and delivery of scalable analytics solutions. Databricks Champion status is mandatory, while DPP experience is preferred. Immediate or 30-day-or-less availability is preferred.

Build and validate AI-native tooling for utility power-engineering and go-to-market teams. The role combines customer discovery, workflow analysis, Python and SQL development, data investigation, prototypes, integrations, debugging, and production-quality software. You will partner with Product and Engineering, dogfood tools on live customer problems, define requirements and quality standards, lead rollout and adoption, train users, and establish the company’s forward-deployed engineering operating model. Regular customer and U.S. team travel is required.