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Sales EngineerArmada • New York, New York, United States
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Sales Engineer

Armada
  • US
    New York, New York, United States
  • US
    New York, New York, United States
Postuler Maintenant

À propos

About the Role Get AI-powered advice on this job and more exclusive features. Armada is an edge computing startup that provides computing infrastructure to remote areas where connectivity and cloud infrastructure is limited, as well as areas where data needs to be processed locally for real-time analytics and AI at the edge. We’re looking to bring on the most brilliant minds to help further our mission of bridging the digital divide with advanced technology infrastructure that can be rapidly deployed anywhere. Location This role is remote in the continental United States. What You’ll Do (Key Responsibilities) Bring a high-ownership, self-starting mindset with a willingness to fill gaps, solve problems, and support the team. Thrive in ambiguity, step up without waiting for direction, and contribute beyond your role to drive shared success. Provide expert technical guidance to customers and sales peers regarding Armada’s products and services. Understand client challenges and propose the appropriate solutions to meet their needs. Lead technical demonstrations, proof-of-concepts, and workshops to showcase features, functionalities, and benefits of the company’s offerings. Tailor demonstrations and execute workshops to address specific client challenges. Collaborate cross-functionally to support sales, including customer engagements, technical scoping, and proposal development. Influence and align internal teams to drive solution strategy, resource prioritization, and successful business outcomes. Cultivate strong relationships with key client stakeholders, including technical decision makers and influencers. Serve as a trusted advisor through thought leadership, understanding their challenges, and providing tailored solutions based on technical business needs. Stay ahead of industry trends, competitive developments, and emerging technologies. Leverage market awareness to identify opportunities for product innovation and differentiation. Enhance field team understanding of technical concepts, product features, and selling strategies. Provide ongoing support and enablement resources to empower sales representatives in their client interactions. Required Qualifications Bachelor’s degree in Computer Science, Engineering, or related field; advanced degree is a plus. 5+ years proven experience in a pre-sales, sales engineering, or solution architecture role supporting technical products. Conceptual understanding of networking and connectivity fundamentals, including IP addressing, firewalls, SD-WAN, and satellite or cellular-based communication systems (e.g., Starlink, LTE/5G). Familiarity with cloud platforms, virtualization or containerization technologies, and modern enterprise infrastructure. Proficiency in at least one core technical domain such as AI/ML infrastructure, connected devices, or data center systems. Working knowledge of cloud platforms, modern networking concepts, and containerization or virtualization technologies. Excellent communication and presentation skills, with the ability to engage and influence both technical and non-technical audiences. Strong problem-solving mindset with the ability to navigate ambiguity and drive clarity. Self-starter who thrives in dynamic environments and effectively manages multiple priorities. Must be willing and able to travel, including potential international travel, as business needs dictate. Preferred Qualifications Prior experience with MEDDPICC, Challenger Sale, Command of the Message etc.; and managing to a sales process. Prior experience with MSPs, Telcos, Oil & Gas, or Utilities. Experience working with or selling physical products, including familiarity with logistics, supply chain operations, import/export processes, and customs requirements. Demonstrable expertise in one or more Technical Focus Areas: AI & Edge AI Solution Architecture – This specialty emphasizes expertise in scoping, qualifying, and shaping AI-powered solutions. AI development fundamentals—such as training data quality, data granularity, resolution, variability, and event detection use cases—and how these factors impact model confidence, false positives, and deployment feasibility. Defining inputs (e.g., cameras, sensors) and estimating compute requirements. Familiarity with AI frameworks (e.g., TensorFlow, PyTorch, ONNX) and the broader AI/ML lifecycle is essential, along with a strong grasp of practical AI applications. Modular Data Center Systems & Rack Solutions Architecture – This specialty requires strong systems integration skills and the ability to translate customer requirements into reliable, scalable infrastructure solutions. Design and integrate compute, storage, and networking systems within modular or micro data center environments; expertise in hybrid cloud and distributed computing (e.g., Azure Stack Edge); and experience with virtualization and containerization platforms (e.g., VMware, Docker, Kubernetes). Asset Management Systems & Integration Architecture – This specialty emphasizes expertise in connected device ecosystems, remote field deployments, and real-time asset telemetry. Integration of remote field assets such as IoT sensors and camera systems; understand connectivity and deployment challenges in remote environments; and communication networks including Starlink, cellular/5G, and SD-WAN solutions (e.g. Cradlepoint, Peplink). Hands-on experience integrating devices and/or telemetry protocols such as RESTful APIs, WebSockets, and SNMP. For U.S. Based candidates: To ensure fairness and transparency, the on-target earnings salary range for this role for candidates in the U.S. are listed, varying based on location experience, skills, and qualifications. In addition to the salary, this role will also be offered equity and subsidized benefits (details available upon request). Medical, dental, and vision (subsidized cost) Health savings accounts (HSA), flexible spending accounts (FSA), and dependent care FSAs (DCFSA) Retirement plan options, including 401(k) and Roth 401(k) Unlimited paid time off (PTO) 15 paid company holidays per year Compensation: $150,000 USD - $230,000 USD You’re a Great Fit if You’re A go-getter with a growth mindset. You’re intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge. A detail-oriented problem-solver. You can independently gather information, solve problems efficiently, and deliver results with a “get-it-done” attitude. Thrive in a fast-paced environment. You’re energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company. A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda. Highly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you. Equal Opportunity Statement At Armada, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time. Unsolicited Resumes and Candidates Armada does not accept unsolicited resumes or candidate submissions from external agencies or recruiters. All candidates must apply directly through our careers page. Any resumes submitted by agencies without a prior signed agreement will be considered unsolicited and Armada will not be obligated to pay any fees. Seniority level Mid-Senior level Employment type Full-time Job function Sales and Business Development Industries Software Development
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  • New York, New York, United States

Compétences linguistiques

  • English
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