Top Tech Jobs & Startup Jobs in San Antonio, TX

Build and maintain scalable monitoring solutions and dashboards to track production, campaign, and operational data. Analyze large-scale datasets to detect anomalies, perform root-cause investigations with Engineering and Production Operations, and deliver actionable insights to improve platform reliability and operational efficiency.

Design, build, and maintain AI platform infrastructure and services. Implement scalable backend systems, REST APIs, CI/CD, observability, automated testing, and cloud-native streaming. Collaborate across teams, apply TDD, and use generative AI tools to accelerate development.

Own go-to-market execution and adoption for assigned products: define positioning, lead GTM readiness, enable sales and customer-facing teams, run beta and validation programs, monitor adoption and revenue, support strategic deals, synthesize customer and competitive insights, and mentor Outbound PMs to drive launch effectiveness and adoption growth.

Lead Salesforce Product-to-Cash architecture, coach engineers, design HLD/LLD and roadmaps, govern integrations and billing systems, build POCs, apply AI-first solutions, and ensure scalable, secure Revenue Cloud/CPQ implementations across quoting, billing, invoicing, and revenue processes.

The Senior Product Manager will oversee product development from ideation to delivery, manage product backlogs, and collaborate with various teams to understand and solve customer needs while driving product innovation in the healthcare sector.

Provide practical, production-focused mentorship to managers and executives in business-facing AI programs: guide project work, clarify generative and agentic AI concepts, discuss deployment trade-offs, and share strategies for evaluation, governance, and scaling AI in organizations.

Provide part-time technical mentorship to learners in the Data Product Manager track: answer forum questions, host weekly live sessions, escalate issues, and guide students on data foundations, product KPIs, experiment design, data pipelines, modeling, visualization, and product frameworks.

Lead and scale Skylight's growth by building strategies that leverage SBIR/STTR contract vehicles, coordinate business development, capture, proposals, account management, and marketing alignment. Drive adoption of AI/automation in growth workflows, support bids & proposals, and partner with executives to win federal professional services contracts.

Design, build, and maintain end-to-end, accessible, secure full-stack software for a federal health/civilian agency. Build Section 508-compliant UIs, backend APIs, and services; follow API-first, CI/CD, automated testing, and security best practices; identify and remediate technical debt; mentor engineers and collaborate with cross-functional teams to deliver reliable, performant government software.

Own and deliver advisor-focused product workflows (portfolio analytics, performance, options, bonds). Lead discovery with users and data, write PRDs, partner with engineering and design, balance correctness and usability, and be accountable for outcomes from problem definition through launch.

Design, develop, and maintain scalable ML and AI platform infrastructure for model training, deployment, feature engineering, candidate generation, agent deployment, and observability. Collaborate with data scientists and engineers, support platform operations, drive improvements, codify best practices, and influence platform investments to enable production ML systems at scale.

Provide U.S. regulatory legal counsel on crypto and financial matters, coordinate with agencies and internal teams on investigations, enforcement, AML/sanctions compliance, remediation, and regulatory filings, and advise on evolving U.S. regulatory developments affecting the business.

Own end-to-end development of consumer lending products: define roadmap, balance growth, risk, and compliance, partner with underwriting and external lenders, use analytics and AI to measure impact, iterate, and scale products cross-functionally.

Lead Digital Fraud product roadmap and delivery to detect, prevent, and respond to fraud across the order lifecycle. Partner with engineering, analytics, payments, loss prevention, and vendors to define KPIs, build features (pre-authorization checks, device signals, chargeback automation), run experiments, manage backlog, and ensure operational resilience while balancing conversion and customer experience.