The Named Account Manager role will report into the Director of GTM for Generative AI and 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, Meta, 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 sales role that focuses on helping your client consume already purchased Scale services that requires:
- Strong understanding of technology services, consulting delivery models, and enterprise procurement processes
- Experience managing multiple concurrent enterprise-scale projects and programs
- Navigate complex stakeholder environments, building strong relationships with client executives, procurement teams, and internal delivery teams.
- Excellence in stakeholder management across executive, technical, and procurement teams
- Proven track record managing accounts with $10M+ annual revenue
You will:
- Serve as a key point of communication between internal delivery teams, customer stakeholders, and go-to-market (GTM) teams.
- Proactively identify project needs and risks, aligning resources and capabilities to ensure every project milestone is achieved on time and within scope.
- Develop a deep understanding of the client’s needs, goals, and purchasing strategy to expand our presence in the account.
- Collaborate with Sales Leads and the client’s procurement and purchasing teams to support negotiations on contracts, renewals, and expansions, contributing to long-term account growth and strengthening our partnership.
- Financial acumen and experience with complex pricing models
- Establish metrics for project success and account growth, preparing regular reports and conducting performance reviews with both internal and client teams to ensure alignment and identify improvement areas.
- Provide regular reporting and insights to senior management on account performance, growth opportunities, and strategic initiatives
Ideally you'd have:
- 7+ years of B2B Account Management or Client Delivery experience
- Experience defining requirements and building strategies to effectively scale revenue through early product development
- Experience successfully delivering on complex solutions to enterprise and software companies in the deal size of $XM or $XXM+
- +4 years of experience working with technical audiences (ML engineers, data scientists, data engineers)
- Experience collaborating with both business and technical audiences simultaneously
- Demonstrated success of achieving high client satisfaction on major projects
- 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.
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 NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
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