Top Tech Jobs & Startup Jobs in San Antonio, TX

Leads the migration from Salesforce CPQ to Revenue Cloud and owns end-to-end Quote-to-Cash capabilities, including quoting, pricing, contracting, ordering, billing, subscriptions, and revenue recognition. Provides Salesforce architecture, integration strategy, technical governance, roadmap ownership, delivery risk management, and cross-functional leadership. The role manages engineering capacity and sprint commitments, leads workshops and proofs of concept, ensures security and compliance, and mentors Salesforce development and configuration teams.

Analyzes revenue data, develops forecasting models and performance dashboards, improves RevOps processes, validates data, and delivers strategic insights to sales and marketing stakeholders. The role supports business reviews, annual planning, cross-functional reporting initiatives, revenue strategy, risk mitigation, and stakeholder training while identifying operational efficiencies and growth opportunities.

Lead and mentor a small software engineering team while setting technical direction, facilitating Agile processes, writing maintainable code, and owning software delivery from requirements through maintenance. Architect reliable databases and secure, scalable AWS cloud infrastructure using infrastructure as code. Ensure healthcare data compliance with HIPAA and HITRUST and guide system architecture, API design, security, scalability, and CI/CD practices.

Develop generative AI solutions using Python, AWS, LLMs, chatbots, prompt and context engineering, RAG, vector databases, and agentic AI frameworks. Build coding prompts and contexts with GitHub Copilot, Claude Code, and Amazon Q Developer to convert business stories into production code and pull requests. Design autonomous and multi-agent workflows, memory and token-management systems, caching strategies, MCPs, and real-time AI decisioning features. Auto-lending experience and A/B testing expertise are advantageous.

Test Salesforce applications and integrations through functional, integration, regression, system, and UAT testing. Develop automated test scripts, perform API testing, validate Salesforce configurations and customizations, identify and track defects, and ensure data integrity and security compliance. Collaborate with developers, business analysts, and stakeholders in Agile ceremonies, define test strategies, and report execution results and quality metrics.

Own complex technical support requests from platform partners, triage production incidents, debug APIs, webhooks, and integrations, and resolve issues within SLAs. The role requires root-cause analysis, SQL and scripting, log and trace investigation, backend code reading, technical writing, and cross-functional collaboration with Engineering, Partnerships, and Customer Support. The engineer will also improve runbooks, tooling, documentation, and self-service resources as partner volume scales.

Leads a forward-deployed engineering team delivering customer integrations, data migrations, technical implementations, and escalations. Owns customer relationships from kickoff through go-live, designs integrations with GIS, CMMS, and inspection platforms, builds ETL and validation tooling, and manages team capacity, development, and performance. Partners with Sales, Solutions Engineering, Product, and Engineering to improve technical feasibility, scope work, and turn recurring custom implementations into reusable products and processes.

Partners with Finance and Legal leaders on workforce planning, organizational design, talent and succession, manager coaching, change management, employee relations, compensation, performance, engagement, and people analytics. Advises senior leaders, handles sensitive matters, and supports global teams across multiple regions.

Strategic HR leader partnering with Product, Technology, and AI executives on organizational design, workforce planning, talent and succession, leadership coaching, employee relations, change management, performance, rewards, and culture. The role will help implement a General Manager operating model, establish decision rights, scale enterprise people practices, and use workforce data to improve organizational effectiveness across a global technology company.

Leads enterprise business development and complex sales cycles across the US Rockies and West Coast. Develops growth strategies, secures new accounts, manages executive relationships, drives proposals and negotiations, expands existing accounts, and meets revenue, margin, pipeline, and sales targets. Partners with Product, Client Success, Operations, and implementation teams to ensure successful customer transitions and service delivery. Maintains CRM forecasts, analyzes markets, and develops customized hardware, software, and service solutions.

Manages university research and clinical trial contract portfolios from drafting and negotiation through closeout. Negotiates clinical research, sponsored research, federal, confidentiality, data use, collaboration, foundation, and subaward agreements; reviews budgets, intellectual property, publication, indemnification, and financial terms; advises faculty and administrators; coordinates OnCore clinical trial calendar builds; maintains contract records, compliance, policies, and reporting.

Leads an enterprise transformation program from discovery through execution, establishing governance, integrated plans, reporting, risk management, and cross-functional delivery processes. Partners with business, technology, executive, and external stakeholders to drive modernization, automation, AI enablement, operational scalability, and improved customer outcomes. Provides guidance to project managers, facilitates strategic decision-making, manages dependencies and blockers, and supports complex initiatives in a regulated mortgage and financial services environment.

Own the product vision and roadmap for clinical genomics tools supporting case management, data workflows, clinical review, sign-out, and data delivery. Translate complex clinical and scientific needs into scalable requirements, coordinate lab and engineering stakeholders, and make risk-based tradeoffs while protecting clinical quality, privacy, security, and governance. Use AI to accelerate research, prototyping, and specification development.