Named Account Manager

The Strategic Account Executive role will be responsible for growing Scale’s market share in the Gen AI vertical. Scale’s Generative AI Go-To-Market team is responsible for selling into organizations building foundation models (eg. Llama2, DALL-E 3, GPT4). Our Ideal Customer Profile spans AI labs like OpenAI, Cohere, and Stability AI and enterprise B2B organizations that are productizing generative AI into their product suites, such as Salesforce, ServiceNow, and Databricks. This is a highly technical role that requires: - A deep understanding of AI and data and the ability to articulate technical concepts in simple, precise language - Experience running multi-threaded sales cycles to technical and business audiences audiences at the executive level - Successfully breaking into new accounts whilst growing existing accounts - Working cross functionally with Executive Leadership, Product, Marketing, Legal, Finance, Operations, and Compliance to ensure customer success.  You will: - Work closely with the Director of Strategic Accounts on the overall GTM and revenue strategy for your account(s). Be responsible for driving revenue consumption and informing growth on your named account(s). - Use a solution approach and create value for customers - Orchestrate and work with teams cross-functionally to maximize the impact on your book of business - Build value with all engagements to promote successful negotiations to close - Build contingency plans and be the first point of contact in the event of an escalation.  - Drive very high degrees of client satisfaction as witnessed through continued partnership and growth. Ideally you’d have: - 7+ years of B2B sales or solutions engineering experience  - Experience defining requirements and building strategies to effectively scale revenue through early product development - +4 years of Solution Sales experience and a track record of personally selling and closing complex solutions to enterprise and software companies in the deal size of $XM or $XXM+ - +4 years of experience selling deeply technical products to technical audiences (ML engineers, data scientists, data engineers) - Experience selling both to business and technical audiences simultaneously - Demonstrated success by achieving quota on a consistent basis. - Ability to drive the sales process from prospecting, to qualifying new prospects, to managing deals to closure. - Passion for what you do and the creativity and willingness to think outside of the box - Strong sales process skills and systems skills (Salesforce, Outreach, Clari, Gong) - Demonstrated ability to develop strong consultative relationships with external partners and internal cross-functional teams at all levels. Experience with creating, developing, and communicating executive level materials. _Sales Commission: Additionally, this role is eligible to earn commissions._ _Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend._ Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $110,000—$140,000 USD