Top Tech Jobs & Startup Jobs in San Antonio, TX

Lead a 6–8 engineer team building an SSH client, web app, and backend services for an agentic AI platform. Own architecture, hiring, process, roadmap partnership with product, incident response, and mentorship while remaining ~20% hands-on.

Lead design, development, and optimization of Power BI dashboards and data models, analyze complex business problems using SQL and large datasets, deliver insights to executive leadership, maintain data accuracy and KPIs, drive BI process improvements and automation, and serve as the Power BI subject-matter expert across cross-functional teams.

Handle inbound telephone, digital, and written customer inquiries about benefits and provider issues. Resolve and escalate complex questions, record interactions, follow policies, and work within defined quality standards while managing multiple applications.

Lead analytics projects using advanced and predictive modeling to optimize programs, forecast behavior, and drive revenue. Partner consultatively with business, IT, and SMEs across project lifecycle—intake through delivery—communicating results to stakeholders and senior leadership. Work independently on complex technical approaches and influence department strategy.

Own end-to-end release cadences for open-source and managed cloud products. Coordinate engineering, product, QA, DevOps, docs, and customer success. Define quality gates, build release automation and runbooks, mitigate release risks, serve as release contact, and run retrospectives to drive continuous improvement.

The Software Engineer will provide technical support to customers, collaborate with engineering teams, and drive customer success initiatives while leveraging Python and SQL expertise.

Support post-sale onboarding for enterprise and mid-market customers: coordinate implementation tasks, schedules, and stakeholders; assist with platform configuration and ATS/HRIS integrations; validate data mappings and testing; communicate with customers and internal teams; maintain project plans and documentation to ensure smooth go-lives.

Perform day-to-day accounting operations including AP/AR, general ledger, month-end journal entries and reconciliations, support audits, maintain records, and help improve workflows for a growing SaaS company.

Lead cryptocurrency investigations by analyzing on-chain/off-chain data, conducting blockchain tracing, performing OSINT research, reviewing legal process documents, liaising with law enforcement, and training internal teams to detect and remediate illicit activity.

Lead and manage a regional practice/team (typically 15–25 people) responsible for solution delivery, revenue, margin, and customer satisfaction. Set strategic direction, develop business plans and solution portfolios, drive pursuit and engagement delivery, manage personnel and financials, cultivate senior customer relationships, and enhance offerings and delivery models. Act as senior client contact and contributor to industry thought leadership.

As an AI Solution Engineer, you will architect and demonstrate AI solutions, lead technical discussions, and assist customers with AI outcomes in pre-sales engagements.

The role involves developing processes for sales operations, analyzing order pipelines, managing revenue forecasting, and enhancing sales tools. Responsibilities include implementing changes for efficiency and communicating with stakeholders.

Build and manage referral relationships to drive admissions and community awareness. Coordinate with intake, clinical and business offices, attend events, execute BD and marketing plans, track assigned accounts, and support the Director of BD on budgeting and outreach.

Entry-level Quality Engineer supporting product and development teams to design and implement test plans, promote shift-left and test-first practices (TDD/BDD), and help create automated testing using tools like Tosca, NeoLoad, and Cucumber. Works as an SDET with internal teams, aids defect management, environment scheduling, and documentation while collaborating with QA and architecture teams.

Lead FF&E category management and strategic sourcing for procurement. Develop and execute sourcing strategies, manage supplier relationships, mitigate supply-chain risk, enforce governance, and partner cross-functionally to optimize costs and support sustainability and compliance. Serve as escalation point and communicate recommendations to senior leadership.

Lead AI product strategy for investor workflows, designing AI-native products (agents, copilots, MCPs, APIs). Partner with investors, engineers, researchers, and designers to translate LLMs, retrieval, and agent architectures into reliable, production-grade features. Drive rapid experimentation, define evaluation and trust frameworks, and shape platform evolution for investor-grade AI products.

Design end-to-end UX for an AI-powered B2B data product. Translate complex AI and data concepts into intuitive, trustworthy interfaces; conduct user research; define workflows; collaborate with Product, Engineering, and Data Science; contribute to design systems and maintain design quality through launches.

Design, validate, and deploy scalable statistical and distributional models for enterprise consumer analytics. Implement rigorous methodologies, convert ad-hoc analyses into version-controlled analytical libraries, and partner with Data Engineering to optimize performance and scale compute workloads (including cloud/Databricks). Deliver reproducible analytics powering dashboards and LLM-driven applications, with a focus on panel and transaction-level consumer data.