Top Tech Jobs & Startup Jobs in San Antonio, TX

Lead end-to-end product experimentation for FarmerChat: design, implement and analyze A/B and multivariate tests; define hypotheses, metrics, and power analyses; translate quantitative results into product recommendations; establish experimentation standards and documentation; collaborate with user research, data insights, MEL, product, engineering, and country teams to improve onboarding, trust, and engagement in low-connectivity, low-literacy contexts.

Senior leader who builds and scales Sales Operations: owns HubSpot CRM architecture and governance, forecasting, compensation design, reporting, and cross-functional alignment. Leads a Sales Ops team to improve forecasting accuracy, data hygiene, automation, and quota-to-cash processes to enable predictable revenue and scalable marketplace growth.

Own and ship product features for a labor marketplace using AI-assisted prototyping. Define roadmaps, write decision-ready PRDs, run analyses and experiments, conduct research, and collaborate with engineering, design, analytics, and operations to deliver measurable outcomes for veterinary professionals and hospital partners.

Lead and scale Roo's revenue organization across both sides of the veterinary marketplace. Drive GTM strategy, territory design, forecasting, hiring, enablement, CRM/tooling, automation, and cross-functional alignment to hit growth and unit-economics goals while building a high-performance sales leadership bench and repeatable playbooks.

Interim VP, Client Success provides executive leadership during a 3-6 month transition to ensure client retention, operational continuity, and team performance. Responsibilities include executive escalation, portfolio health oversight, cross-functional alignment, driving operational improvements, and delivering a transition roadmap for the incoming VP. The role partners with Sales, Product, Legal, Finance, and Executive Leadership to protect revenue and stabilize client-facing operations.

Lead and scale quantitative trading and liquidity strategies for NEAR Intents. Design game-theoretic models, build signal generation and execution systems, develop research and simulation infrastructure, translate research into production, monitor performance, and hire and mentor a quantitative research team while partnering with protocol and product teams.

The Senior Software Engineer will architect and develop the Solver network, ensuring performance, collaborating with teams, and leading engineering standards.

Lead full enterprise sales cycles selling AI-driven supply chain solutions to mid-market and enterprise manufacturers and distributors. Qualify inbound and outbound opportunities, run discovery, technical validation, procurement and close deals. Build repeatable GTM playbook, manage 3–12 month pipelines with accurate forecasting, collaborate with engineers for solution configuration, and relay market feedback to product.

Manage and secure enterprise identity environment including Active Directory and Okta. Handle user lifecycle (provisioning/deprovisioning), lead IAM projects and integrations (CyberArk, SAP), partner with engineers and business units, and support identity and access needs across the organization.

The Director of Systems Engineering will lead and mentor teams in developing cardiac health monitoring technologies, ensuring compliance and effective product lifecycles.

Maintain and improve developer workflows and core platform systems: CI/distributed CI, build/release packaging, regression tracking automation, and developer tooling. Support developers across languages and systems, keep CI healthy and responsive, package releases, and build tools to reduce developer pain points while collaborating with engineering and product teams.

Lead pre-sales and delivery for end-to-end Oracle Cloud technical solutions. Engage clients to gather requirements, design Oracle SaaS/PaaS/OIC architectures, create proposals, estimates, and project plans, hand off to delivery teams, provide technical oversight, train staff, and ensure methodology and successful implementation. Travel up to 50% domestically.

Design, build, and operate production-grade AI systems using ML, LLMs, RAG, and agentic workflows. Define evaluation strategies, implement data/retrieval/orchestration layers, apply MLOps/LLMOps, and partner with stakeholders to prioritize, monitor, troubleshoot, and improve AI solutions balancing quality, latency, cost, reliability, and maintainability.

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.