• Generate revenue growth for Pyrotek’s products and solutions in the aluminum foundry industry • Manage and grow assigned sales territory accounts by building strong customer relationships • Develop and negotiate customer agreements, pricing, and supply terms • Provide technical support and sales solutions • Conduct regular customer facility visits • Monitor competitor activities and strategize with management on sales tactics • Utilize the CRM system to complete trip reporting and maintain customer relationship communications

• Lead executive-level conversations centered on business outcomes, total cost of ownership, risk mitigation, scalability, and long-term strategic value. • Serve as the primary solution leader on complex enterprise opportunities from qualification through close. • Partner cross-functionally with Sales, Product, Marketing, and leadership to align deal strategy and solution positioning. • Develop and articulate clear value hypotheses aligned to client-defined success metrics early in the sales cycle. • Conduct structured, consultative discovery with senior stakeholders across Finance, IT, Operations, and Firm Leadership. • Translate complex technical capabilities into compelling commercial narratives tailored to executive audiences. • Design and deliver high-impact demonstrations and strategic workshops aligned to client decision criteria. • Support pricing and commercial discussions by reinforcing quantified business value and transformation outcomes. • Influence deal direction by identifying risk, competitive differentiation, and expansion opportunities. • Act as a senior escalation point during evaluations, resolving complex functional or technical concerns with credibility and composure. • Contribute to evolving pre-sales methodologies and continuously raise the standard of execution. • Contribute to a high-performance pre-sales culture through collaboration, knowledge sharing, and modeling best-in-class execution. • Ensure disciplined deal execution through accurate opportunity alignment and forecasting collaboration. • Manage multiple concurrent enterprise pursuits with professionalism, responsiveness, and precision. • Perform other duties as assigned to support departmental and company objectives.

• Present the Zscaler cloud security platform to prospective customers • Create and deliver demonstrations and gathering customer technical requirements • Set the vision and translate goals into enticing and relevant recommendations • Being the trusted advisor to our clients while aiding their transformational journey

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As a Senior Sales Engineer, you will serve as a technical bridge between customers and engineering teams, ensuring AI workloads are architected for scalability, efficiency, and production readiness. You will guide clients from initial discovery through proof-of-concept validation, translating their requirements into practical, economically viable solutions. This role combines deep technical expertise in AI infrastructure with strategic commercial insight, influencing revenue quality, engineering focus, and customer trust. You will collaborate closely with Sales and Engineering to align technical feasibility with business outcomes. The position demands a high degree of analytical rigor, strong communication skills, and the ability to operate effectively in fast-paced, high-stakes environments. Remote work within the U.S. is fully supported, offering flexibility while contributing to cutting-edge AI platform development. - Lead in-depth technical discovery sessions with customer engineering teams to understand AI model requirements, latency constraints, throughput goals, and GPU resource considerations. - Translate customer ambitions into production-ready architectures while identifying hidden technical risks and ensuring alignment with platform capabilities. - Collaborate with Sales to influence deal strategy, prevent overcommitments, and improve PoC-to-production conversion rates. - Define measurable success criteria for proofs-of-concept, including latency, throughput, time-to-first-token, and cost benchmarks. - Align internal resources, including ML solution architects, engineering, and GPU infrastructure, to deliver scalable solutions. - Identify recurring workload patterns and provide actionable insights to Product and Engineering teams to evolve platform capabilities. - Serve as a trusted technical advisor to customers, shaping platform adoption and fostering long-term relationships. Qualifications - Deep expertise in AI inference systems and GPU-backed infrastructure. - Experience with LLM workloads and performance-sensitive environments. - Proficiency with inference frameworks and libraries such as vLLM, SGLang, TensorRT-LLM, and OpenAI/Anthropic SDKs. - Ability to reason about architecture trade-offs across latency, throughput, and cost considerations. - Strong customer engagement skills with the ability to challenge assumptions constructively. - Commercial awareness and understanding of engineering resource allocation as a strategic factor. - Programming proficiency in Python and familiarity with agentic pipeline frameworks (Langchain, Langsmith, smolagents, or equivalents). - Experience with MLOps and DevOps tools such as Kubernetes, Docker, and Git; API frameworks like FastAPI or Flask. - Knowledge of cloud platforms including AWS (SageMaker, Bedrock), GCP (Vertex AI), and Azure ML. - Excellent communication, problem-solving, and cross-functional collaboration skills. Benefits - Competitive base salary ranging from $152,000 to $228,000, plus RSUs and performance bonuses. - 100% company-paid medical, dental, and vision insurance for employees and their families. - 401(k) plan with up to 4% company match and immediate vesting. - Paid parental leave: 20 weeks for primary caregivers, 12 weeks for secondary caregivers. - Company-paid short-term, long-term, and life insurance coverage. - Remote work reimbursement up to $85/month for mobile and internet expenses. - Flexible working arrangements and professional development opportunities. - Dynamic, collaborative, and innovation-driven work environment with exposure to cutting-edge AI technologies.