Senior Customer Enablement Program Manager

United States Digital Space LLC; United States; On-site; USD 117,000 - 161,000; Full time

Benefits offered by this job

Comprehensive benefits

Equity opportunity

Job summary

United States Digital Space LLC is seeking a Senior Customer Enablement Program Manager, New Learning Experiences, to design and launch new learning experiences that scale user enablement globally.

You will drive strategy from pilot to global rollout, apply AI-first approaches, partner across GTM teams, and measure impact with data-driven insights.

Qualifications

• 6+ years in enterprise tech program management.
• Experience launching new programs from zero to scale.
• Experience with data, AI, or related tech.

Responsibilities

• Design and launch scalable learning programs.
• Partner with Learning & Enablement, Operations, GTM teams.
• Deliver pilots and scale to global adoption.
• Measure impact with data-driven reporting.

Skills

Technical program management

Stakeholder management

AI & data science

Enterprise technologies

Job description

CSQ427R4

Senior Customer Enablement Program Manager, New Learning Experiences

As a Senior Program Manager within the Global Scaled User Enablement Practice, you will have the unique opportunity to design and launch new learning experiences that expand how the company enablement upskills and activates users globally.

You will report to the Global Scaled User Enablement Practice Leader and will own the strategy and execution of new scaled user learning programs, from pilot to global scale. You will bring an AI-first mindset to how learning is designed and delivered. Leveraging data, automation, and intelligent tooling to scale impact, while never losing sight of the human experience at the center of every program. You will leverage your expertise in program management, AI & data science, or equivalent enterprise technologies and stakeholder engagement to build compelling enablement experiences and drive adoption across GTM teams.

This is an exciting opportunity for a motivated and innovative entrepreneur with a passion for building new learning programs from the ground up and working across departments and regions.

The impact you will have:

• Build and launch new learning programs end-to-end in close partnership with with teams across Learning & Enablement, Operations, Regional Business and GTM - Marketing, Sales and Field Engineering

• Design and scale innovative learning programs within the company Free Edition, turning the platform into a world-class entry point for Learner growth and User adoption globally

• Define learning initiatives for emerging technical audiences, such as App Developers and Database Admins, in close partnership with Product, Content Development, and Regional Program Managers to design, pilot, and scale learning programs globally

• Track program performance and drive accountability through data-driven reporting and actionable insights

What we look for:

• 6+ years of technical program management and stakeholder management experience in an enterprise technology company

• Impact-driven with a growth mindset, embraces change, adapts quickly, and see ambiguity as an opportunity

• Experience designing and launching new programs or pilots from zero to one, with the ability to navigate ambiguity and work independently with minimal direction

• Experience in Big Data, AI, data science, or equivalent enterprise technologies preferred

• Ability to develop compelling stories based on data and motivate stakeholders and leaders to action

• Experience creating scalable and simple processes and resources that are adopted by cross-functional teams

• Experience working in or with product and go-to-market teams, such as professional services, customer success, marketing, sales

• Strong understanding of enablement programs and training methodologies

• Strong communications and presentation skills

Pay Range Transparency

the company is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, the company anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Zone 1 Pay Range

$117,400—$161,350 USD

Zone 2 Pay Range

$105,600—$145,200 USD

Zone 3 Pay Range

$99,800—$137,150 USD

Zone 4 Pay Range

$93,900—$129,150 USD

About the company

the company is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the the company Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, the company offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow the company on LinkedIn, X, YouTube, and Instagram.

Benefits

At the company, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At the company, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at the company are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

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