Top Tech Jobs & Startup Jobs in Dallas-Fort Worth, TX

Lead sales and commercial strategy for power transformer market segment. Develop proposals, pricing, and deal structures; support negotiations; identify growth opportunities; apply Lean Six Sigma to improve proposal processes; manage customer relationships and small projects to drive profitable growth.

Supports VRF systems product strategy, portfolio management, lifecycle execution, product launches, regional platform adaptation, pricing, positioning, and go-to-market activities across the AME region. Partners with engineering, sales, procurement, channel, and global teams to align products with customer and installer needs, regulatory requirements, competitive conditions, and business objectives. Develops roadmaps, business cases, and portfolio recommendations while advancing agile, customer-centric product development.

Sells car wash memberships and products through consultative customer interactions. Responsibilities include identifying customer needs, presenting monthly unlimited packages, closing sales, upselling existing customers, meeting targets, maintaining product knowledge, and delivering friendly service. The role is primarily outdoors in varying weather and requires standing, walking, equipment-related tasks, flexible scheduling, and regular customer and team interaction.

Supports analyst relations and insights programs across Gartner, Forrester, IDC, and Everest Group. Responsibilities include maintaining AR content libraries, coordinating announcements, curating analyst insights, leading client co-marketing initiatives, enabling sales and leadership teams, managing analyst relationships, and contributing to evaluation submissions such as Gartner Magic Quadrant and Forrester Wave. The role requires cross-functional project management, strong communication, analytical thinking, Microsoft 365 proficiency, and light presentation design skills.

Leads product marketing strategy for Adobe technology offerings, including positioning, messaging, market research, go-to-market execution, launches, post-launch optimization, KPI reporting, and competitive analysis. Partners with product management, sales, growth, alliance, and communications teams to create integrated solutions, translate technical capabilities into customer value, and drive product awareness, adoption, and growth.

Leads global talent acquisition strategy, manages a recruitment team and personal requisition portfolio, and oversees full-cycle hiring across engineering, construction, technical, and corporate functions. Partners with executives and hiring managers on workforce planning, sourcing, employer branding, candidate experience, recruitment technology, analytics, and hard-to-fill roles. Represents the company at industry events and mentors direct reports in a high-performing recruitment culture.

Leads complex systems integration projects from consultation through implementation, including solution development, installation, configuration, deployment, testing, troubleshooting, documentation, and training. Advises clients on hardware and software options, coordinates cross-functional teams, manages timelines and budgets, supports sales proposals, and drives continuous improvement. The role requires strategic autonomy, executive influence, mentoring, and broad technical expertise across integrated systems.

Leads and optimizes a consumer telesales team to drive revenue, upselling, customer satisfaction, and operational efficiency. Responsibilities include managing call-center and vendor operations, analyzing performance data, implementing sales strategies and policies, supporting hiring and workforce planning, maintaining compliance, and collaborating across business areas. Oversees entry- to mid-level sales employees and influences staffing, disciplinary, and promotion decisions.

Develop and maintain AWS cloud-native applications and backend services using Python. Design scalable architectures, APIs, event-driven applications, and system integrations with Lambda, Step Functions, Kafka, Terraform, and CloudWatch. Troubleshoot complex cloud issues, support migration and modernization, and contribute to technical architecture decisions. This is a hands-on senior developer role requiring regular coding, strong system design, and backend development expertise, with Java-to-Python/AWS experience preferred.

Lead end-to-end people analytics projects, integrating data from systems such as Workday and Phenom. Develop forecasting models, scalable analytical solutions, visualizations, and executive-ready insights to support workforce planning and organizational strategy. Apply statistical, predictive, AI-enabled, and data storytelling techniques while maintaining data governance and quality standards. Partner with senior leaders and cross-functional stakeholders to translate complex talent and organizational data into actionable recommendations.

Supports enterprise strategy initiatives through quantitative and qualitative analysis, hypothesis development, data synthesis, and executive-level presentation materials. Collaborates with internal leaders and project teams, translates data into strategic insights and recommendations, communicates findings, identifies risks and data gaps, and owns the quality of assigned workstreams in a dynamic, project-based environment.

Perform risk-based IT audits evaluating technology governance, security, compliance, and operational controls. Execute agile audit engagements: gather evidence, test controls, document findings, participate in risk assessments, and provide actionable recommendations to leadership.

Manage strategic relationships across multiple manufacturing customer sites in Texas. Responsibilities include supporting VMI and inventory programs, monitoring demand and orders, conducting customer visits and business reviews, identifying sales opportunities, coordinating quotes and product launches, supporting pricing discussions, and collaborating with internal manufacturing, sourcing, quality, and operations teams. The role requires regular territory travel and familiarity with industrial customers, engineered products, supply chain, and inventory concepts.

Develop autonomous AI agents capable of goal setting, decomposition, planning, tool use, memory, and long-horizon execution. Build evaluation frameworks for alignment, reliability, and safety; identify goal misalignment and undesirable behaviors; and integrate agent systems with APIs, databases, search engines, and other tools. Responsibilities include designing production-ready machine learning systems, collaborating across teams, and advancing agent autonomy through planning, causal reasoning, model-based reinforcement learning, and language modeling.

Develop production-ready generative AI and machine learning solutions using Python, LLMs, and agentic AI frameworks. Build scalable AI agents, models, pipelines, monitoring capabilities, and enterprise integrations for healthcare use cases. Collaborate with data scientists, engineers, MLOps and DevOps teams, product groups, and business stakeholders to deliver reliable, compliant, and responsible AI systems. Create reports, projections, models, and presentations to communicate results and capabilities.