Top Tech Jobs & Startup Jobs in San Antonio, TX

Lead revenue accounting for a SaaS-like business: interpret contracts under ASC 606, manage month-end revenue close, own order-to-cash, prepare reports for monthly/quarterly statements, support audits, drive process improvements and automation, manage and mentor a small distributed billing/accounting team, and collaborate cross-functionally to ensure accurate revenue recognition and invoicing.

Lead end-to-end AI agent deployments: scope customer workflows, design and configure agent workflows, define integrations, coordinate engineering, monitor performance, and drive optimization and knowledge capture.

Lead design, build, and deploy Graph+GenAI solutions combining graph databases and LLMs. Act as trusted advisor to customers, architect scalable systems, write production code, integrate with orchestration and cloud platforms, optimize performance, and provide training, enablement, and product-feedback to stakeholders. Travel up to 50% to engage customers.

As a Technical Account Manager, you'll build strong customer relationships, translating business goals into technical strategies and ensuring success with Docebo's AI-powered learning platform.

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.

Product Manager for Data Platform owning roadmap and backlog to operationalize datasets, ensure trusted, well-modeled data, collaborate with engineering and product teams, run discovery with domain experts, enable data cataloging and governance, monitor data health and adoption, and drive cross-team alignment.

Provide end-user EHR support for clinical users: triage and resolve cases, escalate when needed, maintain CRM records and knowledge articles, build client relationships, work shifts between 8am–8pm, and contribute to process and tool improvements.

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.