Top Tech Jobs & Startup Jobs in Houston, TX

Manage financial reporting for skilled nursing clients, assist with budgeting and forecasting, develop team members, and improve processes.

Manage tax compliance engagements, communicate with clients, review tax work, provide training, and maintain technical expertise in tax areas.

Manage tax compliance and advisory work, review tax returns, build client relationships, research tax matters, and mentor staff.

Lead GitLab’s US Government Support Engineering team, overseeing complex enterprise troubleshooting, case resolution, hiring, onboarding, coaching, escalation management, and process improvement. Partner with product and engineering teams to address government-specific needs, participate in manager on-call coverage, support critical incidents, and improve service delivery for regulated customers.

Lead and execute technology audits across cloud, application, and cybersecurity domains to support SOX compliance. Design and test IT general, application, and entity-level controls; perform risk-based planning, testing, and reporting; drive remediation with process owners; and apply data analytics, automation, and generative AI to improve audit quality and efficiency.

Recruiter will evaluate early-career applicants for Claude Corps across high-volume recruiting waves. Responsibilities include application review, structured interviews, evidence-based advancement recommendations, competency scoring, calibration, Greenhouse recordkeeping, candidate communication, and identifying process improvements. The role requires consistent judgment, efficient screening, strong documentation, equitable selection practices, and thoughtful use of AI tools while maintaining human oversight.

Perform tax form and regulation research, interpret tax code updates, guide programmers on calculation changes, design and execute tests, document calculations, contribute release notes and customer guidance, and support tax software products remotely.

Lead Sprout's centralized Decision Analytics function to transform reporting into predictive, insight-driven decision-making. Set vision, operating model, and standards; manage managers, analysts, and data scientists across domain pods; partner with senior stakeholders; champion AI and ML integration; drive change management and build a high-impact analytics culture.

Assists with designing, developing, testing, deploying, maintaining, and debugging business applications. Collaborates with developers and stakeholders, participates in code reviews, documents software processes, supports upgrades and releases, and identifies process improvement opportunities. The role requires foundational programming, testing, troubleshooting, version control, SQL, Agile, and communication skills while following security, quality, and compliance standards.

Leads a team providing advanced Tier 4/L3 support for enterprise applications. Responsibilities include resolving complex production issues, performing root-cause analysis, guiding software development and architecture, mentoring engineers, improving reliability and observability, designing automation, managing incidents, and partnering with development, infrastructure, security, and cloud teams across Microsoft and Azure environments.

Own the vision, roadmap, backlog, and adoption of Prism and X-Ray reporting capabilities within Jira. Partner with Scrum Masters, engineers, product managers, and technology stakeholders to define requirements, prioritize enhancements, deliver dashboards, and analyze Agile flow metrics. Identify delivery bottlenecks, improve workload planning and software development efficiency, ensure platform reliability, and coordinate cross-functional initiatives. Facilitate stakeholder alignment and drive effective use of enterprise reporting tools.

Operate application security across the SDLC, including secure design, code reviews, threat modeling, API security, DevSecOps tooling, CI/CD security gates, cloud and container security, vulnerability management, and risk communication. Partner with engineering teams on secure coding standards, AWS, Kubernetes, Terraform, mobile ecosystems, and responsible AI integration. Participate in an on-call rotation and develop scalable security platforms, paved roads, documentation, and developer training.

Provide frontline customer support through live chat and email, troubleshooting account, billing, domain, and transactional issues. Meet quality, productivity, and customer satisfaction targets; maintain product knowledge; identify and escalate significant customer issues. The role requires weekend and holiday availability, reliable home internet, and a dedicated workspace.

Own end-to-end B2B demand generation, including integrated campaigns, ABM, email nurture, organic social, website initiatives, conversion optimization, and performance reporting. Partner with Sales, Product Marketing, Customer Success, agencies, design, and product teams to generate measurable pipeline. The role requires strategic planning, hands-on execution, data-driven optimization, strong writing, and management of multiple concurrent programs, with emphasis on SaaS, technical audiences, open source, and product-led growth.

Lead a hands-on IAM engineering team building scalable authentication and authorization services for multi-tenant enterprise customers. Shape architecture, write production Go code, review changes, manage on-call operations, and own observability, reliability, and security. Recruit and develop engineers, manage roadmaps and delivery, partner with product and enterprise stakeholders, and drive identity platform initiatives including SSO, provisioning, policy enforcement, token strategy, and regulatory auditing. Promote responsible AI coding-tool adoption and maintain high engineering standards.

Lead exploratory testing within R&D, uncovering risks that automated checks miss across complex, configuration-driven insurance systems. Develop test charters, risk models, coverage and testability maps, and clear bug, risk, and compliance narratives. Partner with Product and Engineering on specification-by-example, observability, testability, and release readiness. Build testing tools, evaluate AI-generated code and tests, coach quality practitioners, and support auditable quality decisions without owning release approval.