CodePath

Senior Manager of AI Enablement | JobSetuu

CodePath

USA
['Full-Time']

Posted 1 day ago • Via jobicy.com

Description

Job Overview

  • Source: Jobicy

Job Description

CodePath is the largest educator of college computer science students in the country. We have trained over 40,000 students from 1,000+ universities. Our partners include Amazon, Google, Meta, and 4,000+ companies across the industry. We’ve been training the next generation of technical talent for nearly a decade, and we just launched a $150M initiative with Anthropic, building one of the most ambitious AI workforce programs in the world.

We're now expanding into new markets and scaling our team so we can move at the speed AI is transforming the workforce. People joining CodePath now will have the opportunity to help architect the next frontier of our work.

We are building toward millions of learners, hundreds of millions in revenue, and billions in economic impact for a generation of technical talent who have historically been locked out of tech. If you want to own something and be part of a 0-to-1 journey at an organization moving at the speed of AI, we think you’d love it here. 

About the Role

Location: Remote, United States

Role Type: Full-Time 

Reporting to: Director of Business Operations

Compensation: $110,000 to $150,000 per year

We're mid-rollout of Claude Enterprise company-wide with Anthropic, and we want AI-first, human-in-the-loop workflows in every function where it makes sense, with agents doing meaningful recurring work. CodePath is hiring a Senior Manager of AI Enablement to drive that work across the organization. This job is as much about people and operations as it is about technology. Claude and the tools around it are powerful in skilled hands, and your mission is to build things with teammates that genuinely excite them and accelerate our mission of reprogramming higher education.

You operate as an internal consultant. You embed with a team, learn how they work today and how they want to work in the future, and translate that ambition into workflows, scheduled tasks, agents, and quality standards that hold up in production over time. Along the way you spot opportunities, connect dots across teams, and invent ways of working that did not exist.

We run enablement in layers, from onboarding to an internal community to open office hours to function-specific curriculum we co-develop with each team. This role is the deepest layer, and likely the most important: you sit with a team, build the workflow alongside them, and stay until it holds, which is how AI fluency turns into changed behavior and real impact.

This role may grow to lead a small team of embedded enablement specialists as the function scales.

What You'll Do

  • Embed and audit. Rotate through functions. Audit how the team really works, map the repetitive tasks, and find the highest-leverage opportunities
  • Build the v1 fast. Develop task-specific agents and automations (research synthesis, status updates, partner reporting, monitoring) using whatever ships fastest: Claude, Claude Code, MCP integrations, and our existing stack including Google Workspace, Slack, Notion, Asana, HubSpot, Zendesk, and internally developed tools. You ship something for feedback in hours
  • Productionize and set the quality gates. Default AI output drifts toward mediocrity over time. You turn rough prototypes, yours and your colleagues', into production-grade tools, with the rubrics, evals, and review steps that keep output at a standard the team can trust
  • Build reusable assets. Create the skills, plugins, and templates teams self-serve from after your engagement ends, and maintain them as the tools evolve
  • Coach to self-sufficiency. The goal of each engagement is a team that no longer needs you. You teach through building alongside people, meet them where they are in their AI proficiency, and leave each team more capable and more confident
  • Measure, report, and rotate on. Track outcomes like time saved and quality gained, not platform activity. Present results to leadership to prioritize the next engagement, then document what you built, hand off cleanly, and move to the next function

Requirements

  • 5+ years in automation/ops tooling, including recent hands-on LLM/agent work in a professional setting
  • Hands-on proficiency with LLM APIs (e.g. Claude) and low-code/no-code agent frameworks. Strong understanding of prompt engineering and evaluation design
  • A systems thinker who sees a 12-step manual workflow and immediately knows which 8 steps can be automated, and how seemingly disconnected pieces connect
  • Ability to embed with non-technical teams, earn trust quickly, and translate pain points into working solutions
  • Taste and judgment about quality. You can tell strong AI-assisted work from slop, and you know how to build the guardrails that keep it strong
  • Clear written and verbal communication. The range to meet anyone where they are, from a teammate opening Claude for the first time to someone who has been building their own workflows for months, and to move each of them forward

Preferred

  • Experience deploying Claude or another enterprise AI assistant across a largely non-technical organization
  • Familiarity with MCP integrations and agent architecture patterns
  • A background in change management or internal transformation programs

What This Role Is Not

  • A software engineer. You will not build infrastructure or ship product code. You automate business processes and build agents that make teams more effective and impactful
  • Purely a trainer. You will teach constantly, but you teach through building alongside the teams
  • A researcher. You evaluate tools when it serves an engagement, but the core of the job is building, deploying, and iterating

Typical Process

  • Recruiter call
  • Hiring manager video call
  • Virtual onsite, two rounds with stakeholders
  • Take-home assignment and presentation
  • Reference checks
  • Offer

Compensation

CodePath standardizes salaries by level, no matter where you live. Salary within this band is determined by the relevant experience and skills you demonstrate through our interview process.

Full-Time Employee Benefits

This is a 100% remote position, work from anywhere in the U.S. CodePath prioritizes employee well-being with a competitive benefits package to support your health, financial security, and work-life balance.

  • Health & Wellness: Medical, dental, and vision insurance (90% employer-covered for employees and dependents), employer-funded healthcare reimbursement, FSAs, and Employee Assistance Program
  • Financial Security: 401(k), employer-paid life & disability insurance, and identity theft protection
  • Work-Life Balance: Generous PTO, paid holidays, 10 weeks of fully paid parental leave, and an annual year-end company closure (Dec 24 to Jan 2)
  • Professional Growth: $1,000 annual professional development stipend and home office setup support
  • Student Loan Forgiveness: CodePath is a qualifying employer for Public Service Loan Forgiveness (PSLF), helping employees manage student loan debt
  • Additional Perks: Pet wellness plans, legal services, home/auto insurance discounts, and exclusive marketplace savings
Pay range
$110,000—$150,000 USD

Expert Career Tips for Senior Manager of AI Enablement Roles

To succeed in a competitive market as a Senior Manager of AI Enablement, you need more than just technical skills. Here are some expert strategies to elevate your profile:

  • Build a Strong Portfolio: For technical roles, a clean GitHub or a personal project site is essential. For non-technical roles, a case study portfolio demonstrating problem-solving and impact is equally valuable. Show, don't just tell, what you have achieved in your previous positions.
  • Master the Narrative: When interviewing, use the STAR method (Situation, Task, Action, Result) to structure your answers. Quantify your results wherever possible—mentioning "increased efficiency by 20%" is much more impactful than saying "improved efficiency."
  • Continuous Learning: The industry moves fast. Whether it's staying updated with the latest AI tools or mastering a new management methodology, continuous professional development is key. Consider obtaining industry-recognized certifications that align with Senior Manager of AI Enablement requirements.
  • Networking: Connect with other professionals in similar roles. Join online communities, attend webinars, and engage in meaningful discussions on professional social networks. Often, the best opportunities come through referrals and community engagement.
  • Soft Skills Matter: Communication, empathy, and leadership are often the deciding factors between two equally qualified technical candidates. Cultivate these skills as they are universally valued across all industries and seniority levels.

Additionally, research the specific company's culture and values. Tailoring your application to show how you align with their mission can significantly increase your chances of moving forward in the process.

Salary & Compensation

Salary not disclosed; typically competitive for the role.

Work Arrangement

Type: On-Site

Standard business hours at the office.

Comprehensive Application Strategy & Hiring Process

Applying for a new role is a marathon, not a sprint. Follow this strategic approach to maximize your success rate:

1. Initial Research & Tailoring

Don't send the same resume to every employer. Spend at least 30 minutes researching the company. Look for recent news, their product roadmap, and their team structure. Modify your summary and core competencies to reflect the specific keywords found in the job description.

2. The Perfect Cover Letter

If the application allows for a cover letter, use it to tell a story that your resume cannot. Explain why you are passionate about this specific company and how your unique background makes you the perfect fit for the challenges they are currently facing.

3. Navigating the Multi-Stage Interview

Most modern hiring processes involve 3-5 stages. This typically includes a recruiter screen, a technical or skill-based assessment, a peer interview, and a final leadership round. Prepare for each stage differently: focus on enthusiasm and fit for the recruiter, technical depth for the assessment, and strategic vision for the leadership round.

4. Post-Interview Follow-Up

Always send a personalized thank-you note within 24 hours of each interview. Reference a specific topic discussed during the call to demonstrate your active listening and genuine interest in the role.

By following these steps, you demonstrate a high level of professionalism and attention to detail that sets you apart from the average applicant.

Typical Interview Process

  1. Resume screening
  2. HR call
  3. Skill interview
  4. Final manager interview
  5. Offer

Tip: Research the company's products and culture.

Global Market Intelligence & Relocation Insights

At JobSetuu, we specialize in helping talent navigate the global job market. Here is what you need to know about the current landscape in Global and beyond:

The demand for skilled professionals is increasingly borderless. For roles based in Global, understanding the local cost of living, visa requirements (if applicable), and cultural nuances is vital. If this is a remote role, consider the time zone alignment and the asynchronous communication culture of the hiring organization.

Relocation Support: Many forward-thinking companies offer relocation packages that include moving stipends, temporary housing, and legal assistance with work permits. When evaluating an offer, look beyond the base salary—consider the total compensation package, including equity, bonuses, and healthcare benefits.

Work-Life Balance Trends: Hybrid and remote work have become standard in many regions. Research the local labor laws and common practices regarding work hours and vacation time to ensure the role aligns with your lifestyle goals.

Leveraging JobSetuu's tools can help you compare salaries across different cities and understand the "purchasing power" of your potential offer, ensuring you make an informed decision for your long-term career path.

Skills & Competency Roadmap for Professional Development

To remain competitive in Professional Development, we recommend focusing on the following core competencies over the next 12-18 months:

  • Technical Mastery: Deepen your expertise in the core tools and languages relevant to your field. For developers, this might be cloud architecture; for marketers, it might be data-driven attribution modeling.
  • AI Augmentation: Learn how to leverage generative AI and automation tools to increase your productivity. Understanding how to integrate these technologies into your workflow is becoming a non-negotiable skill.
  • Leadership & Strategy: Even in individual contributor roles, the ability to think strategically and lead projects from inception to completion is highly valued. Focus on stakeholder management and high-level project planning.
  • Data Literacy: The ability to interpret data and use it to drive decisions is essential across all business functions. Familiarize yourself with data visualization and basic analytical concepts.

By investing in these areas, you not only prepare yourself for the role you are applying for today but also build a resilient foundation for the opportunities of tomorrow.

Apply via JobSetuu

Discover your next career milestone on JobSetuu. This Senior Manager of AI Enablement position is part of our commitment to bringing you the most relevant and high-impact job openings globally. At JobSetuu, we simplify your job search by aggregating premier listings and providing the tools you need to stand out. Don't miss the chance to elevate your professional journey—explore more opportunities and career insights on our platform today.

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