Top Tech Jobs & Startup Jobs in San Antonio, TX

Support Toast’s enterprise data governance program by managing governance dashboards, business glossaries, metadata standards, compliance monitoring, documentation, stewardship training, and data quality tracking. Collaborate with Engineering, Analytics, Legal, and data catalog teams to translate business definitions into technical specifications, automate data discovery, facilitate governance workshops, and improve data management and AI governance practices.

Lead development of Toast’s consumer-facing web experiences, building scalable guest and restaurant features across the stack. Collaborate with frontend, backend, iOS, and Android engineers using React, TypeScript, Next.js, APIs, and backend services. Own projects from development through launch, monitoring, and analysis while experimenting with users and influencing consumer product strategy.

Own the technical infrastructure supporting paid media, including tracking pixels, conversion signals, CRM audience syncs, marketing automation, data pipelines, platform integrations, UTM governance, launch QA, monitoring, and reporting infrastructure. Partner closely with paid media teams to troubleshoot data discrepancies, improve campaign launch speed, maintain data quality, and support audience operations across multiple advertising platforms.

Leads and grows a distributed software engineering team responsible for developing and maintaining NinjaOne SaaS products. Provides technical direction, participates in architecture, code reviews, integrations, and deployments, and partners with product, platform, and project management teams. Oversees engineering operations, team mentoring, software quality, continuous improvement, and successful product delivery across UI, mobile, server, and agent systems.

Lead Affirm’s zero-to-one product initiatives in partnership with the CEO and executive team. Own product vision, strategy, roadmap, discovery, prototyping, experimentation, launch, and iteration for new products and platforms. Analyze customer behavior, define success metrics, write product content, and coordinate engineering, design, data, risk, operations, revenue, legal, and compliance teams. This hands-on role has no direct people-management responsibilities and requires strong judgment in ambiguous environments.

Leads MongoDB’s global brand strategy, visual identity, creative expression, and integrated marketing campaigns. Oversees multidisciplinary creative teams, develops brand systems and narrative-driven experiences, partners with executive and cross-functional stakeholders, and manages budgets, timelines, vendors, and performance metrics. The role drives brand differentiation, customer engagement, and business outcomes across digital, video, events, product experiences, social, paid media, and print while fostering creative excellence and innovation.

Own and enhance MongoDB’s Pigment financial planning platform in partnership with IT. Build and maintain models for forecasting, workforce planning, consolidation, and allocations; manage roadmap prioritization, governance, integrations, vendors, documentation, and stakeholder enablement. Improve model performance and usability, evaluate AI and automation opportunities, and translate finance requirements into scalable systems. The role requires strong FP&A expertise, hands-on Pigment administration, project management, and cross-functional communication.

Leads MongoDB’s global customer marketing and advocacy function across AMER and EMEA. Builds an AI-enabled program that scales customer storytelling, advocacy, executive engagement, influencer relationships, and customer insight. Integrates customer voice into brand, communications, events, product launches, sales, and investor programs. Defines KPIs and attribution, builds cross-functional alignment, manages budget and tooling, and recruits and develops a high-performing global team.

Lead the AI Quality engineering team while remaining hands-on building evaluation infrastructure, observability tooling, diagnostic systems, datasets, annotation workflows, and CI/CD pipelines for production AI agents. Run experiments across prompts, models, routing, caching, and agent harnesses to improve quality, latency, and cost. Partner with AI Core engineering and manage technical direction and team priorities.

Leads Growth Marketing and owns enterprise pipeline across demand capture and demand creation motions. Builds integrated, account-based growth programs, aligns Marketing, Sales, Alliances, Customer, and Revenue Operations, and manages BDR, digital advertising, demand generation, analytics, operations, and AI enablement teams. Establishes operating systems, measurement frameworks, and performance reviews while optimizing investment, conversion, pipeline quality, and revenue outcomes. Develops leaders and scales a commercially accountable growth organization in a complex enterprise SaaS environment.

Leads integrated AMER marketing campaigns to build awareness, generate pipeline, and drive revenue for a B2B SaaS company. Responsibilities include localizing global campaigns, developing content, managing cross-functional projects, partnering with Sales and BDR teams, measuring performance, optimizing full-funnel activities, supporting customer advocacy and expansion, and providing regional market insights.

Drive full-cycle enterprise sales across the Americas by prospecting, qualifying, negotiating, and closing complex B2B SaaS deals with organizations of 1,000+ employees. Build executive relationships, generate pipeline, conduct consultative discovery, partner with Sales Engineering, maintain Salesforce forecasting and data hygiene, and represent HiBob at industry events.

Leads Care Managers and Care Specialists, ensuring high-quality, consistent user support. Responsibilities include setting expectations, coaching, reviewing call and chat quality, managing escalations, analyzing performance data, improving workflows, supporting training and onboarding, and representing frontline needs cross-functionally. The role also handles select complex user cases and promotes a culture of empathy, accountability, inclusion, and continuous improvement.

Leads the design, integration, and delivery of production-grade AI, generative AI, agentic AI, and MLOps solutions for clients. Serves as technical lead, translates requirements into scalable architectures, mentors engineers, manages technical risks and timelines, supports sales proposals, and presents recommendations to stakeholders. Responsibilities include application integration, security, observability, evaluation, model serving, documentation, testing, and operational readiness.

Leads ServiceNow CSM and TPSM process design for customer service, client onboarding, managed services, account management, and technology service delivery. Facilitates discovery and future-state workshops, translates requirements into functional designs and user stories, defines onboarding workflows, and aligns stakeholders with ServiceNow best practices. Provides functional leadership across customer management, case handling, entitlements, service relationships, integrations, CSDM, and ITSM. Supports prioritization, UAT, business readiness, roadmap decisions, and traceability across a large enterprise transformation.

Leads CDW’s AI advisory consulting portfolio, including strategy, governance, operating models, adoption, roadmaps, methodologies, and delivery standards. Advises customers and executives, facilitates discovery and workshops, develops proposals and business cases, supports presales pursuits, and partners with technical teams on integrated AI solutions. Oversees delivery quality, risk management, staffing, and customer outcomes while mentoring consulting and presales professionals.

Serve as a pre-sales SAP and accounting subject matter expert, advising finance stakeholders on integrations, automation, data structures, and month-end close workflows. Partner with sales, solutions consulting, product, and engineering teams to demonstrate business value, support proof-of-concepts, develop integration environments, answer technical questions, and translate complex SAP connectivity concepts into business-friendly guidance. The role requires strong accounting knowledge, SAP expertise, customer communication skills, and up to 25% travel.