Own and Govern the Engineering Knowledge Base
Audit, consolidate, and maintain the authoritative technical knowledge base for customer-facing engineering, eliminating fragmentation, broken link chains, and stale documentation.
Establish a review cadence to keep content current as the platform evolves; tag owners and set expiration dates for key docs.
Create a clear document hierarchy so engineers always know which resources are canonical and which are deprecated.
Work with internal experts to surface the right documentation for the right audience, distinguishing what a new hire needs on Day 1 from what an established engineer needs to go deep.
Drive Ongoing Technical Development (Everboarding)
Develop and maintain a recurring enablement cadence (live sessions, async updates, release summaries) that keeps tenured engineers up to date on new capabilities, product changes, and evolving enterprise use cases.
Identify readiness gaps through feedback loops with managers and new hires, and develop targeted content to close them.
Stakeholder Collaboration & Program Management
Serve as the embedded enablement partner to FAE leadership, maintaining a close pulse on what the teams need as the business scales.
Collaborate with the broader Enablement team to adapt existing GTM enablement content for engineering audiences and bring engineering learnings back to the org.
Manage multiple concurrent programs with clear milestones, keeping stakeholders informed on roadmap progress and program effectiveness.
Report on program health and outcomes to engineering and Enablement leadership on an ongoing basis.
Ideally you’ll have
4+ years of professional experience in enablement, program management, technical training, or a closely related role.
2+ years of program management experience, with a track record of taking programs from zero to launched in a fast-moving environment.
Experience supporting technical teams, engineers, solutions engineers, or similar, at a B2B technology company.
Strong instincts for knowledge management: you’ve built or significantly improved a documentation system and have clear opinions on what makes them work.
Comfort navigating technical content: you don’t need to write code, but you can read a technical architecture doc, identify what’s outdated, and work with engineers to fix it.
Excellent written communication skills and a bias toward creating content that people actually use.
Proficiency with AI tools for content creation, summarization, and workflow automation.
Nice to haves
Background in developer tools, AI/ML platforms, or technical product environments where the end user is an engineer or technical practitioner.
Experience building LMS-based learning paths or structured onboarding curricula for technical audiences.
Familiarity with tiered instructional design or adult learning principles applied to technical content.
Prior experience collaborating with Product, Engineering, or Delivery teams to extract and systematize institutional knowledge.
Experience in a high-growth, venture-backed environment where you’ve built programs from scratch without waiting for perfect infrastructure.
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 and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, 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:
$128,000—$160,000 USD
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, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. 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.
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