Sales Manager

Spire is a company that provides weather and climate data, APIs, and decision-support solutions, powered by space.

• Own a territory: Build and execute a territory plan spanning the Americas — from Canada and the United States through Mexico, Central America, the Caribbean, and South America— identifying and developing new business opportunities while growing and retaining existing client accounts.
• Lead with our priority segments: Drive growth in the financial sector — engaging traders, portfolio managers, quantitative researchers, and heads of data at trading houses, hedge funds, and asset managers — and across U.S. utilities, IPPs, and grid operators, where you will position Spire’s forecasts against load forecasting, renewable generation, and grid reliability use cases.
• Exceed targets: Meet and surpass assigned quotas through disciplined prospecting, qualification, and full-cycle deal execution.
• Build lasting relationships: Develop strong, long-term relationships with key clients, partners, and stakeholders across the weather, climate, and earth intelligence ecosystem — understanding their needs, challenges, and objectives to tailor solutions accordingly.
• Sell consultatively: Use a solution-selling approach to uncover clients’ operational pain points and propose tailored offerings built on Spire’s weather forecasts, historical data, and climate analytics.
• Master the product: Develop deep expertise in Spire’s data products and platforms — their features, differentiation, and applications — to communicate compelling value to technical and executive audiences alike.
• Deliver winning proposals: Prepare and present persuasive sales presentations, proposals, and responses to tenders that clearly articulate Spire’s value proposition.
• Negotiate and close: Lead commercial negotiations on terms and pricing to reach mutually beneficial agreements and close deals reliably.
• Manage your pipeline: Maintain an accurate, up-to-date pipeline in our CRM, ensuring rigorous forecasting and timely follow-up on every lead and opportunity.
• Know the market: Track industry trends, competitive movements, and emerging opportunities across your regions to inform strategy and identify new areas for growth.
• Collaborate cross-functionally: Partner with marketing, product, meteorology, and customer success teams to ensure client satisfaction and feed market insight back into product development.

• 8+ years of experience in sales, business development, or account management, with a focus on selling data products, SaaS, or API-based solutions.
• A demonstrated track record of consistently meeting or exceeding sales targets and quotas.
• Strong understanding of the weather and climate industry, or deep experience selling digital transformation into data-driven sectors such as financial markets, power and energy, maritime, aviation, agriculture, or logistics.
• Proven success selling data, analytics, or alternative data into the financial sector — commodity, power, or weather derivatives trading desks, hedge funds, or quantitative funds — with the credibility to hold a technical conversation with traders, quants, and research leads and to navigate data-procurement and evaluation processes.
• Experience selling into United States electric utilities, independent power producers, or grid operators — with a working understanding of how weather drives generation, load forecasting, renewable integration, outage and storm response, and grid reliability, and of how utility and public-power procurement cycles work.
• A consultative, value-based selling style with excellent communication, presentation, and negotiation skills.
• Proven ability to build and maintain trusted client relationships across cultures, time zones, and seniority levels.
• Proficiency with modern sales tools (e.g., Salesforce or similar CRM, LinkedIn Sales Navigator, ZoomInfo, Lusha).
• Self-motivated, results-oriented, and effective working independently in a remote, globally distributed team.
• Fluent in English; willingness to travel across the territory as needed.
• Bachelor’s degree or equivalent practical experience, preferably in a high-tech field.
• Legally authorized to work in the United States without current or future visa sponsorship.

• Remote working model.
• Opportunity to work on cutting-edge AI, machine learning, and GenAI solutions.
• Hands-on exposure to LLMs, RAG, MLOps, LLMOps, Kubernetes, and cloud-native engineering practices.
• Opportunity to contribute to AI solutions from concept and experimentation through production deployment.
• Work on technically challenging projects with a strong focus on scalability, security, governance, and observability.
• Collaborative environment with opportunities to engage directly with stakeholders and influence AI solution strategy.
• Opportunity to expand expertise across modern AI engineering, machine learning, and production software development.