Top Senior Level Jobs in Dallas, TX

Lead lateral partner recruiting for Texas offices (Austin, Dallas, Houston): develop and execute partner recruiting strategy, manage external recruiters and contracting, guide candidates and firm leaders through hiring process, conduct due diligence, draft employment agreements, maintain records, and support special projects. Requires travel up to 20%, a bachelor’s degree, and 7+ years attorney/partner recruiting experience; J.D. preferred.

Manage and grow a portfolio of small business clients through relationship management, credit assessment, and cross-selling. Conduct regular client meetings, analyze financial statements and cash flow, prepare tailored product proposals, ensure regulatory/compliance readiness, document activity in CRM, and meet loan origination, deposit growth, and revenue targets. Must be bilingual (English/Spanish) and travel extensively to client locations.

Design, build, and operate large-scale batch and real-time data pipelines. Implement ingestion, transformation, orchestration, streaming, and downstream delivery using Kafka, Spark, cloud platforms, and workflow tools. Ensure reliability, scalability, performance, security, secrets management, and observability while collaborating with Agile teams to support enterprise analytics workloads.

Lead BAS programmer responsible for developing custom DDC logic and configuring Compass/Envision GUIs. Integrate third-party protocols (BACnet, Modbus, LonWorks), tune software, interpret contract documents, select equipment, mentor junior staff, support estimation and project coordination, and provide ongoing service engineering and documentation.

Design, optimize, and troubleshoot SIMS metrology processes for semiconductor/display manufacturing. Characterize dopant profiles, run DOE, build SPC and tool-health monitoring, manage SIMS lab operations, train and consult with customers, publish findings, and support on-site lab activities and continuous improvement projects.

Lead technical vision and architecture for generative AI platforms; design and implement scalable, distributed AI systems and inference pipelines; ensure cloud-native, multi-tenant microservices; mentor engineering leaders; define standards, tooling, and alignment with product and UX.

Lead North America field and partner marketing for CPG and Life Sciences: plan and execute integrated demand-generation campaigns, events, and ABM tactics; manage budgets, vendors, KPIs, analytics, and cross-functional governance to drive pipeline and revenue.

Lead revenue recognition reviews for SaaS contracts under ASC 606, document conclusions, advise Sales/Legal on deal structure, support financial close and audits, draft technical memos, and assist with revenue system projects and process automation.

Lead design, development, and production deployment of scalable ML systems across domains. Own end-to-end ML lifecycle, architect pipelines and serving, drive MLOps maturity, mentor engineers, conduct design/code reviews, and ensure monitoring, governance, and model reliability in production.

Lead design and implementation of scalable media pipeline systems for consumer devices. Develop and optimize streaming solutions (DASH, HLS), integrate DRM (Widevine, PlayReady, FairPlay), extend media frameworks (GStreamer, FFmpeg), implement multi-threaded and IPC architectures, and ensure code quality through reviews and unit tests while collaborating with product, QA, and platform teams.

Support oversight of the bank's investment and mortgage asset portfolios and related hedging. Monitor exposures, validate stress tests, prepare risk reports for management and committees, ensure compliance with risk limits and regulations, document oversight processes, and collaborate with Treasury, Mortgage Capital Markets, and ALM to improve risk management and governance.

Lead and govern a SaaS enterprise applications portfolio (NetSuite, Shopify, NewStore, Zendesk, Avalara, VersaPay, integrations). Manage a team of platform administrators, vendor relationships, roadmaps, data governance, integrations, reporting, user adoption, and continuous improvement to support finance, supply chain, retail, customer service, and eCommerce.

Lead the transition of ML experiments to production by building and scaling infrastructure, CI/CD pipelines, monitoring and drift detection, experiment tracking and model versioning; manage cloud and GPU resources; collaborate with data scientists to deliver reproducible, cost-effective, production-ready ML solutions onsite in Dallas, TX.