Top Tech Jobs & Startup Jobs

Lead end-to-end IFS Cloud architecture and integrations, design AI-augmented solutions (forecasting, scheduling, anomaly detection), define extension and environment strategies, ensure security/resilience, and align IFS data with enterprise BI/ML initiatives while partnering with stakeholders.

The role involves designing complex embedded hardware for motion control applications, collaborating with a multi-discipline team to develop advanced servo drive technology and ICT systems.

Lead the Lifecycle Services business by managing performance, developing market strategies, and enabling selling teams to achieve growth goals.

Lead and execute complex, cross-functional AI and autonomy programs: define plans, milestones, OKRs/KPIs, communications, and risk management. Serve as a technical partner to engineering teams and external partners, shape technical strategy, advise on feasibility and trade-offs for LLMs, agentic frameworks, ML pipelines, and robotics, and promote reusable reference architectures and partner engagement strategies to ensure solutions deliver business impact.

Lead cross-functional Enterprise Customer Experience programs that modernize customer engagement using AI and automation. Translate executive strategy into program roadmaps, manage integrated plans, budgets, risks, and governance, drive change management and adoption, build capacity models, provide executive reporting, and coordinate across business, IT, finance, and external partners to deliver measurable transformation.

Provide executive-level administrative support to senior sales leaders and lead office operations for the Houston location. Manage complex calendars, travel, expenses, vendor and facilities coordination, onboarding, event planning, and cross-functional partnerships. Track initiatives, support hiring activities, maintain records and compliance, identify process improvements, and deliver confidential, customer-focused support in a fast-paced hybrid environment.

Lead development of Trusted Content capabilities for AI and autonomy in industrial automation. Define and prototype solutions, collaborate with product, AI COE, and customer co-innovation teams, and scale repeatable practices across design, operations, and maintenance workflows. Contribute standards, support events, and deliver customer-facing engagements with measurable outcomes.

Lead root cause investigations and corrective actions across product design, validation, manufacturing, and field operations. Monitor quality metrics, support new product introductions, collaborate with engineering, manufacturing, supplier quality, and analyze warranty/customer data. Drive continuous improvement, validate failure modes, maintain documentation, and ensure compliance with quality management systems.

Design and architect AI and agent-based systems for industrial automation, develop proofs of concept, collaborate with customers and cross-functional teams, and support productization and standards while following coding/testing/debugging practices.

Design and deploy AI-native industrial systems at the edge for real-time learning, decision making, optimization, and autonomous operation. Build low-latency, distributed AI architectures integrating generative models, ML/RL, control systems, streaming analytics, and embedded inference across industrial assets.