As the Senior Account Executive - Energy, you will leverage your extensive network within the Energy & Natural Resources ecosystem to drive business development and revenue growth across the energy value chain in the United States. Your primary focus will be on acquiring new medium and large Energy & Utilities customers through AI product and service sales, while also nurturing and expanding key accounts to ensure long-term success and satisfaction.
Working collaboratively with cross-functional teams across AltaML, including sales, marketing, AI delivery, and domain experts, as well as hyperscaler and consulting partners, you will strategically grow your pipeline and position AltaML as a trusted partner in the Energy sector. Your deep understanding of the AI/ML landscape and ability to articulate its business value for the Energy industry will be key drivers of your success.
*This location is based out of the US. Preference is given to Houston-based candidates
Key Responsibilities:
- Revenue Growth: Achieve annual revenue targets by developing and expanding client portfolios and driving sustainable, high-quality recurring revenue.
- Business Development: Prospect, qualify, and close new opportunities within the Energy sector, leveraging your executive-level network to build a robust pipeline.
- Client Relationship Management: Serve as the primary point of contact for customers, building trust and delivering value throughout the sales lifecycle.
- Solution Selling: Guide Energy clients in their AI/ML adoption journey, recommending tailored solutions to address their specific challenges and collaborating with internal teams to ensure client satisfaction.
- Cross-functional Leadership: Lead cross-functional teams to develop and execute sales strategies, including crafting contractual agreements and pricing strategies.
- Pipeline Management: Maintain a high-quality sales pipeline with 4x coverage to achieve revenue targets and ensure data accuracy within CRM systems.
- Thought Leadership: Represent AltaML as a senior leader in the ecosystem, enhancing brand awareness through speaking engagements, thought leadership content, and strategic partnerships.
- Partnership Development: Foster relationships with hyperscalers, consultants, system integrators, and academic institutions to strengthen solution offerings and drive additional revenue opportunities.
What you Bring:
- Industry Expertise: 8+ years of experience in the Energy industry and/or enterprise B2B sales, with a proven track record of meeting and exceeding multi-million-dollar quotas.
- Network and Leadership: A well-established network and recognized personal brand in the Energy sector, enabling swift opportunity qualification and pipeline growth.
- AI/ML Knowledge: Foundational knowledge of AI/ML technologies and their application in the Energy sector, with the ability to align solutions with client needs.
- Client Relationship Skills: Exceptional interpersonal skills with the ability to build and maintain strong executive and C-suite relationships.
- Sales Excellence: Demonstrated success in managing complex sales cycles, from discovery to post-sales delivery, including negotiation and conflict resolution.
- Communication and Presentation: Superior verbal and written communication skills, with the ability to craft compelling presentations and facilitate impactful discussions.
- Strategic Thinking: Strong analytical and problem-solving abilities, with a growth mindset and adaptability to thrive in a fast-paced tech environment.
- Process Improvement: Experience contributing to the development of sales processes, templates, and standards.
Top Skills
What We Do
AltaML is a leading developer of AI-powered solutions. Working with organizations that want to leverage their data using artificial intelligence (AI), AltaML develops solutions that create operational efficiency, reduce risk, and generate new sources of revenue. Through a deep understanding of organizational pain points and challenges, AltaML develops solutions that encompass the entire machine learning (ML) life cycle, from evaluating potential use cases and determining feasibility, to piloting solutions, putting code into production, and ensuring models evolve over time.