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Top Sales Engineer Jobs in San Francisco, CA
19 Days Ago
Aerospace
As an intern in the Network Planning Sales Engineer program, you will assist in optimizing satellite networks through both technical and customer-facing tasks. Responsibilities include configuring network parameters, collaborating with senior engineers, and utilizing scripting languages; experience in a fast-paced, dynamic environment is essential.
Top Skills:
Python
Software
As a Principal Technical Account Manager at Azul, you will provide post-sales technical support, optimize customer solutions, and ensure system reliability using your expertise in Java and SRE principles. Your role includes building relationships with technical stakeholders, guiding implementation efforts, and collaborating with engineering to tackle complex challenges, all while contributing to strategic business outcomes.
Top Skills:
Java
Cybersecurity
The Solutions Consultant at Palo Alto Networks provides technical leadership to guide customers in their cybersecurity transformation. Responsibilities include developing strategic account plans, demonstrating solutions, conducting discovery sessions, and ensuring successful implementation through collaboration with various teams. The role requires strong communication skills and the ability to influence stakeholders while promoting comprehensive cybersecurity solutions.
Top Skills:
Cloud ArchitecturesData Networking
eCommerce • Fashion
The Sales Advisor at ANINE BING is responsible for providing exceptional customer service, meeting sales goals, and fostering relationships with clients. Duties include styling expertise, managing inventory, and assisting with store operations in both physical and digital environments.
Software
The Pre Sales Solutions Engineer supports the sales team by conducting technical demos, security reviews, and maintaining compliance with IT, security, and legal teams. This role involves liaising with various teams, troubleshooting issues from data logs, and advocating for customer needs during product development. Required skills include intermediate knowledge of SQL and APIs, and familiarity with Ruby or Python scripting for problem-solving.
Top Skills:
PythonRubySQL
Sales • Software
As a Senior Solution Engineer at Odaseva, you'll collaborate with the sales team to support enterprise clients through consultative technical proposals and strategic presentations. You'll lead product demonstrations, manage multiple client engagements, and provide technical insights to enhance customer interactions. This role involves understanding complex data management challenges while building relationships with customers across different organizational levels.
Top Skills:
Salesforce
Automotive
The ML Engineer will lead efforts on model-platform co-optimization, focusing on enhancing training and inference efficiency of the perception foundation model. This role requires collaboration with various teams, designing and optimizing neural networks, and driving model optimization initiatives while fostering innovation and curiosity.
Top Skills:
Machine Learning
Cloud
As a Security Technical Account Manager at Fastly, you will be the technical liaison for clients regarding Fastly's security products, guiding them from implementation to ongoing usage. Your role will involve understanding clients' security strategies, advising on product capabilities, managing project statuses, and providing training. Collaboration with various internal teams on strategic projects is crucial.
Top Skills:
C#GoJavaPHPPython
Artificial Intelligence • Software
The Machine Learning Engineer will design, develop, and maintain ML code for products focused on LLM safety. Responsibilities include implementing safety techniques, testing product features, and collaborating with various teams to enhance customer integration of LLMs.
Top Skills:
LlmMachine Learning
Artificial Intelligence • Machine Learning • Database
The Sales Engineer will collaborate with partnerships and sales teams to provide technical guidance and tailor AI solutions to customer needs. Responsibilities include leading technical discussions, creating reference architectures, and maintaining market expertise in AI and ML models to enhance customer experience.
Top Skills:
SQL
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