Top Tech Jobs & Startup Jobs in San Antonio, TX

The SI Business Analyst will drive integration between business needs and technical delivery, focusing on insurance and healthcare systems. Responsibilities include capturing requirements, performing gap analysis, designing workflows, and leading cross-functional teams to optimize system performance and support digital transformation initiatives.

Lead brand voice and messaging consistency across press, blog, and marketing materials. Ghostwrite for executives, edit internal/external content, develop thought leadership, optimize for SEO, manage editorial calendars, run content audits, use analytics to track performance, and produce white papers.

Manage tax planning, compliance, and reporting across a multi-entity organization. Serve as primary tax authority, coordinate with external advisors, oversee partnership and indirect tax compliance, maintain filing calendar, handle information reporting (1099/1042), support international tax matters, liaise with government authorities, and improve tax processes and controls.

Lead product and UX strategy for Aha!, driving product vision, discovery, and AI-enabled product development. Build and coach high-performing PM and UX teams, partner with executives and cross-functional leaders to deliver revenue, retention, and customer value across B2B SaaS product portfolios.

Execute multi-channel B2B marketing for a fintech SaaS: run ABM tactics, manage HubSpot, content and asset library, execute events/trade shows, support sales enablement, track marketing metrics and budgets.

Lead client-facing analytics consulting engagements, implementing Google Analytics and tag management solutions with minimal oversight. Analyze client data, develop technical strategies, connect marketing platforms, manage project tasks in Asana, communicate with clients, and support consultant mentoring and training. The role requires strong implementation expertise, data visualization skills, project management experience, and familiarity with analytics, customer data, mobile, consent management, and cloud platforms.

Manages service delivery strategy and provider performance across an assigned network zone. Improves customer satisfaction, service metrics, and costs through root cause analysis, action plans, provider coaching, and performance management. Builds relationships with service providers, clients, OEM dealers, and insurance agents; communicates process changes; coordinates market feedback and competitive intelligence; and conducts proactive network performance analyses. The role requires strong analytical, communication, relationship-building, decision-making, and problem-solving skills, with up to 20% travel.

Lead strategic alliances for PagerDuty’s enterprise and public sector business. Develop partner strategies, establish relationships with distributors, contractors, and system integrators, and execute joint go-to-market initiatives. Enable sales teams, monitor alliance performance, analyze public sector trends, represent PagerDuty at industry events, and collaborate with sales, marketing, product, and legal teams to drive adoption and revenue growth.

Lead enterprise data architecture across warehouses, data lakes, downstream applications, and AI workloads. Design data models, Medallion Architecture, ELT standards, semantic layers, APIs, access controls, and reusable datasets. Partner with business and BI teams to drive adoption, conduct architecture reviews, establish platform standards, and mentor data and analytics engineers. The role requires deep Snowflake, dbt, data modeling, pipeline, and semantic-layer expertise, with experience in AI data patterns and cloud infrastructure preferred.

Own Flex’s go-to-market strategy and commercial execution for the auto loan vertical. Build executive-level relationships, develop pipeline, negotiate and close complex partnerships, and guide agreements through technical deployment and launch. Collaborate with Product, Engineering, Marketing, Finance, Legal, and Compliance to shape the offering, translate market feedback into improvements, and establish a repeatable sales motion. This zero-to-one role also requires developing scalable processes and using AI-assisted sales tools to improve pipeline and deal performance.