Go to Market Systems Manager

We are building the Business Transformation team to help create and improve processes and systems for Scale. The Business Transformation team is responsible for improving strategic, financial and operational decisions by partnering with the leadership team in making critical decisions across Scale.

The Business Transformation team will play a critical role in ensuring the GTM, Finance, and Accounting teams have the best insights, tools, and processes to run effectively and efficiently.

The Go to Market Systems Manager will lead all transformation and applications for the Business Transformation team - you will work closely across GTM, finance, accounting, people operations, and many cross-functional stakeholders to transform our existing capabilities through improved business processes and automations.

This role will be directly responsible for building out applications such as Salesforce, SalesforceGov, CaptivateIQ, etc and be the main stakeholder in driving integrations that interact with GTM systems.

You will partner with stakeholders to apply critical and strategic thinking, influence decisions and create solutions that will benefit the whole organization.

What you'll be doing :

• Establish processes that will govern how the Business Transformation team approaches GTM systems and how other systems interact both upstream and downstream
• Partner with leaders across IT, Analytics, Data Engineering, Sales Operations, Accounting, Finance to develop scalable solutions across all GTM systems
• Build trusted partnerships with many stakeholders (e.g. GTM, Operations, EPD, People Operations, Legal, etc.) to collaborate, identify risks and establish transparency to mitigate unexpected impacts to the Business Transformation team
• Partner with cross-functional teams to establish and maintain a GTM Systems roadmap and be the primary driver of that roadmap
• Drive the company's GTM systems and automation strategy by partnering with team members to develop and execute (e.g. Salesforce CPQ, Salesforce

NetSuite, Salesforce

Internal Tools, etc)

• Document and maintain an inventory of workflows, flows, automations, process builder, validation rules, etc.
• Own the end-to-end process for all GTM Systems which includes : requirements gathering, solution design, build, test and validation, and deployment
• Develop best practice controls around access, segregation of duties, audit / change logs, SOX / ITGC, etc.

What we're looking for :

• Bachelor's degree with a major in Information Technology, Computer Science, or related field
• 5+ years of relevant work experience around GTM systems and process such as Lead-to-Quote, Salesforce Sales Cloud, Salesforce CPQ, etc
• Knowledge and experience with GTM systems tech stach such as Salesforce, Salesforce CPQ, Outreach, Hubspot, CaptivateIQ, Workato, etc.
• Experience in process improvement methodologies and leading organizational transformation practices
• An agile mindset that will iterate through blockers and build foundational architecture for future scale

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 :

$132,000 $158,400 USD

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 affirmative action employer and 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 .

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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.