Program Manager, Technical Enablement
Scale AI is hiring a Program Manager, Technical Enablement in San Francisco and New York, United States. Level rates it ; you can apply on Scale AI.
Level's read on this job
- Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
- The posting mentions program management, technical enablement and onboarding among its tools and skills.
- Level classes it as a mid-level role.
- Scale AI has 170 other open roles on Level.
AI in this role
Program Manager building and owning the technical enablement and onboarding function for customer-facing AI enterprise engineers.
Scale AI’s customer-facing engineering organization is one of the fastest-growing and most technically demanding in enterprise AI. Frontier Agentic Engineers sit at the center of our most strategic relationships; building, integrating, and troubleshooting directly with customers. Until now, there has been no dedicated enablement function to support them.
As Program Manager, Technical Enablement, you will build that function from the ground up. Your job is to make sure every engineer who joins this team ramps quickly and confidently, has access to an authoritative, maintained knowledge base they can actually trust, and stays sharp as Scale’s platform and product surface evolves. You will own the full enablement lifecycle for customer-facing engineering, from day one onboarding through ongoing development, and you will be measured on ramp speed, knowledge base health, and the sustained readiness of the teams you support.
This role sits within the Enablement org and partners closely with FAE leadership, the broader Enablement team, and cross-functional stakeholders across Product, Engineering, Sales, and Delivery.
You will:
Build and Own Engineering Onboarding
- Design and launch a structured, role-based onboarding program for new FAE hires, taking engineers from environment setup through meaningful technical contribution within their first 30 days.
- Define fully ramped success criteria by role and communicate them clearly to new hires and their managers.
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 USDPLEASE 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.
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.
How we rate this
Program Manager, Technical Enablement at Scale AI rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where program management was part of your work. What did you do?
- Tell me about a project where technical enablement was part of your work. What did you do?
- Tell me about a project where onboarding was part of your work. What did you do?
- Tell me about a project where documentation was part of your work. What did you do?
- Describe a typical day in a role like this one: which parts run through AI directly?
Adapt your resume
- List these exact terms on your resume: Program Management, Technical Enablement, Onboarding, and Documentation. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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