Top Tech Jobs & Startup Jobs in San Antonio, TX

Lead NAMER customer onboarding for Multiplier's EOR platform: run kick-offs, deliver platform training, act as primary onboarding contact, coordinate with Sales/Product/Operations/Engineering, gather customer feedback to influence product roadmap, and ensure clients achieve hiring objectives.

Lead full enterprise sales cycle for Flagright across North America, winning complex fintech and banking deals. Build and manage pipeline, drive expansions and upsells, deliver product demos and POCs, represent the company at events, coach junior sellers, and collaborate with Product, Engineering, and Customer teams to inform go-to-market strategy.

Lead and scale a global Solutions Engineering organization, manage regional SE managers, design AE-aligned operating model, drive consultative pre-sales (discovery to close), partner with Product/Engineering/Customer Success, champion AI-driven SE productivity, recruit and develop talent, and drive KPIs, quota attainment, and ROI-focused value engineering across regions.

As a Customer Success Engineer at Algolia, you will ensure customer adoption and success of the search platform by providing technical onboarding, solution design, and support. You will advise customers on best practices, deliver workshops, and collaborate with internal teams to improve customer experience and outcomes.

Lead technical pre-sales engagements to drive product fit and revenue: demo, prototype, run POCs, respond to RFPs, qualify KPIs, build custom search solutions, and relay customer feedback to Product and Engineering while ensuring smooth handoffs to post-sales teams.

The Product Specialist drives product execution and workflow validation, collaborating across teams to gather requirements, track bugs, and perform UAT while ensuring successful product enhancements and customer satisfaction.

The Financial Crimes Associate will manage alerts for suspicious incidents, support fraud prevention, and ensure compliance with banking regulations.

Lead a team building an inference optimization platform for LLMs across GPUs and ASICs. Define technical direction, partner with GTM and engineering to tune customer workloads, create scalable optimization systems, and grow a high-impact performance engineering team.

Profile customer LLM inference workloads end-to-end and apply optimizations across GPU kernels, inference engine, and distributed systems. Build tooling and a repeatable automated optimization platform, partner with GTM and engineering to deploy tuned inference in production, and publish technical insights to shape industry best practices.

Lead regional Monitoring, Evaluation and Learning (MEL) for a multi-country Coral Triangle conservation project. Design MEL frameworks, collect and analyze biodiversity and social data, build country capacity, drive adaptive management cycles, compile donor reports, support field research, facilitate cross-country learning, and provide trainings and technical guidance to ensure consistent, high-quality data and program improvement.

Lead global employee relations strategy and operations, advising leadership and partnering with Legal and HR to resolve complex workplace issues. Design interventions, training, and systems to strengthen culture, trust, performance, and inclusion across a decentralized international organization. Manage staff, projects, and stakeholder relationships while supporting ER casework and systemic improvements.

Design, develop, and maintain backend services for the Leap quantum-classical hybrid cloud platform. Collaborate with product owners and architects across the SDLC to deliver features, troubleshoot and tune production systems, write clean maintainable code, participate in code reviews and on-call rotation, and mentor junior engineers to improve engineering practices and platform scalability.

Lead a small AI-First engineering team to design, orchestrate, and verify agent-driven development workflows. Define agent toolchains, context engineering, and governance; architect full-stack applications; enforce multi-layer verification and automated QA; mentor engineers; optimize token/cost; and continuously improve AI-assisted SDLC practices and standards.

Design and own AI-agent-driven test workflows and the automated verification framework. Build test context, select models and tooling, validate AI-generated code and tests, operate test automation across UI/API/mobile/data, ensure security and compliance, mentor teams, and continuously improve agent orchestration and observability.

Lead design and orchestration of AI-first agent workflows to produce application code, infrastructure, and tests. Architect full-stack systems and MCP servers, validate AI-generated outputs for correctness, security, and performance, build verification pipelines and observability, mentor teams, and evolve AI-First SDLC and governance practices.

Lead commercial origination and conversion of GPU compute demand for Armadas AI factory and Leviathan deployments. Build qualified pipelines, match customer requirements to sites and configurations, structure offtake and reservation deals, manage strategic accounts, and feed market intelligence into capacity planning and go-to-market decisions. Collaborate with legal, finance, product, and infrastructure teams to turn demand into committed capacity.