Top Tech Jobs & Startup Jobs in San Antonio, TX

Leads and develops a team of Sales Engineers while participating in enterprise technical sales, API integration discussions, solution presentations, and merchant onboarding. Builds, tests, and troubleshoots integrations; coaches teams on AI development tools; collaborates with Engineering, Product, and Revenue; translates merchant challenges into product improvements; and maintains relationships with technical and business stakeholders.

Serves as the senior-most business systems architect and final technical authority across CRM, billing, marketing operations, revenue, and integration platforms. Defines target-state architecture, modernization and decommissioning strategies, technical roadmaps, solution designs, and build specifications. Partners with executive stakeholders, resolves cross-system design decisions, evaluates build-versus-buy choices, manages risks and tradeoffs, and maintains architecture documentation. The role supports Salesforce, Marketo, Zuora, CPQ, quote-to-cash, and order-to-revenue systems.

Leads B2B CRM implementations from discovery through adoption. Translates client goals into project plans, manages scope, budgets, timelines, risks, and delivery teams, configures Unanet CRM, coordinates data migration and integration, provides demonstrations and training, monitors professional services outcomes, and resolves escalations. Requires strong project management, client communication, and organizational skills, with travel up to 25% annually.

Own the full sales cycle for the Dallas territory, including prospecting, pipeline management, market research, relationship development, product presentations, contract negotiation, and closing. Build relationships with small-business prospects, meet quotas, generate new business, represent Justworks, and provide customer insights to internal teams. The role includes 25% local travel for networking events, trade shows, and client meetings.

Own consumer lending credit risk analysis across underwriting, originations, loan performance, loss mitigation, collections, and recovery. Develop recommendations for credit policy, analyze delinquency and loss drivers, design testing strategies, contribute to risk model development and monitoring, and improve application funnels. The role requires strong SQL and Python skills, quantitative analysis, autonomous problem-solving, and clear communication with executives, product, engineering, finance, and lending partners.

Supports radiology providers through inbound and outbound calls, answers workflow and platform questions, troubleshoots issues, documents interactions accurately, and escalates system or workflow concerns. The role collaborates with internal teams, participates in training and quality reviews, and delivers timely, professional, service-focused provider support.

Build and ship a full-stack data collection and search platform for defense and intelligence users. Develop frontend, backend, data ingestion, storage, indexing, APIs, and agentic AI capabilities using TypeScript, React, Tailwind, Node.js, PostgreSQL, and AWS. Partner with mission owners, customers, designers, and engineers to translate intelligence workflows into intuitive, mission-ready products supporting information analysis and visualization.

Own strategic relationships with enterprise clients using Zeta’s marketing technology platform. Develop loyalty and lifecycle marketing strategies, analyze campaign performance, guide platform adoption, lead business reviews, and identify retention and growth opportunities. Collaborate with analytics, operations, and commercial teams while translating marketing data into actionable recommendations and managing multiple client priorities.

Manage the full lifecycle of REO properties, including occupancy, preservation, valuation, marketing, offers, negotiation, and closing. Oversee vendors, real estate agents, repairs, timelines, investor guidelines, and client reporting across a 150–200 asset portfolio. Analyze performance and loss projections, resolve title and compliance issues, conduct property inspections, and coordinate internal teams to maximize recovery and minimize disposition timelines.

Build and own evaluation infrastructure, observability tooling, datasets, annotation workflows, and diagnostic systems for production AI agents. Lead experiments across prompts, models, routing, caching, cost, and latency. Diagnose failures across planning, tool use, and agent execution, while partnering with AI Core engineering. Manage and grow the AI Quality team as a hands-on player-coach, contributing directly to production code and technical direction.