Top Tech Jobs & Startup Jobs in Houston, TX

Provide bilingual (Spanish/English) support to merchant partners via inbound/outbound calls, chats, and emails. Manage merchant relationships, resolve account/application questions, perform back-office tasks (funding, reports), surface trends internally, and deliver high-quality customer service in a fast-paced remote environment, including nights and weekends.

The Sales Director will lead a team of Account Executives in selling digital intelligence solutions to State and Local government agencies, focusing on revenue growth, pipeline development, and strategic planning.

Convert qualified B2B opportunities into closed deals by managing the full consultative sales cycle. Conduct discovery, present solutions, negotiate terms, manage pipeline and forecasting, collaborate with internal teams, and consistently meet monthly and quarterly revenue targets.

Lead and manage a remote Data Engineering team to build scalable data pipelines and lakehouse solutions. Own execution of Medallion architecture using Databricks, Boomi/Rivery, dbt, Delta Lake and SQL Server; implement DataOps, CI/CD, observability, and stakeholder intake while growing engineers and improving team maturity.

Lead hardware platform strategy and execution for first-party devices and certified ecosystems across POS terminals, handhelds, kiosks, peripherals, and OS layers. Define cross-platform approaches for Windows and Android, drive peripheral connectivity and driver reliability, build hardware certification programs with OEMs and payment providers, and manage product lifecycle from concept through launch and scale while balancing cost, performance, durability, and deployment speed.

Lead and own hardware engineering: define strategy and roadmaps, manage full hardware lifecycle (IoT, CV, POS, KDS), drive R&D and edge compute platforms, manage procurement/OEM/vendor relations, ensure QA, regulatory compliance, hardware security, and cross-functional alignment.

The Senior Data Infrastructure Engineer designs and scales data platforms on AWS, optimizing performance, cost, and security while mentoring junior engineers.

The Technical Product Manager will define and execute strategies for platform capabilities, collaborating with technical teams to drive product outcomes and efficiency.

Lead architecture, implementation, and optimization of Azure cloud infrastructure across multiple subscriptions. Build IaC standards and automation, mentor engineers, support mission-critical applications, improve deployment speed and cost control, monitor system health, participate in on-call rotation, and collaborate with cross-functional teams to deploy scalable, secure, production-grade systems.

The Data Scientist II will design, build, and deploy machine learning models and data products, translating business problems into data-driven solutions, while collaborating with various stakeholders and ensuring reliable, production-ready outcomes.

Lead and manage a fully remote team of Life Insurance Agents, focusing on coaching, performance improvement, and achieving sales targets in a fast-paced environment.

Lead Oyster’s company-wide editorial and category narrative across marketing, executives, product, people, legal, and customer-facing teams. Build AI-first systems for research, brand voice, fact-checking, source verification, repurposing, evaluation, and governance. Direct thought leadership, executive publishing, original employment research, and multimedia activation. Connect content decisions to growth, trust, influence, and pipeline while mobilizing stakeholders, freelancers, agencies, and experts without formal authority.

Lead end-to-end full-stack development across React frontends and compiled backends, influence architecture and data modeling, integrate third-party dealership APIs, use AI-assisted coding tools daily, set engineering standards, ship production features to live dealership users, and mentor junior engineers.

First engineering hire to build end-to-end features across React frontends and C#/.NET (and Python) backends, work with PostgreSQL and MongoDB, integrate third-party automotive APIs, use agentic AI coding tools, and collaborate on architecture and engineering culture.