CAST AI

Go-To-Market Enablement Manager

CAST AI • $110K — $130K *
New York, NY 10025In-Person
Enterprise Technology
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 4+ years of experience in sales enablement or related roles within a B2B SaaS environment.
  • Proven success in designing and delivering effective enablement programs that enhance sales performance.
  • In-depth understanding of the B2B SaaS enterprise sales cycle and methodologies like MEDDPICC.
  • Experience collaborating with Product Marketing to develop sales-ready content.
  • Strong facilitation and presentation skills for large group training and one-on-one coaching.
  • Data-driven approach to enablement with emphasis on measuring outcomes.
  • Project management skills to independently handle multiple workstreams.

Responsibilities

  • Design and manage an onboarding program for new hires to accelerate productivity.
  • Develop a scalable sales training curriculum covering products and methodologies.
  • Partner with Product Marketing to create training content on new product releases.
  • Facilitate live training sessions, workshops, and certifications globally.
  • Maintain and organize the enablement content library for easy access.
  • Measure the impact of programs through various sales performance metrics.
  • Identify skill gaps through performance analysis and develop targeted interventions.

Benefits

  • Enjoy a flexible, remote-first global environment.
  • Collaborate with a team of cloud experts passionate about Kubernetes technology.
  • Equity options available for employees.
  • Learning budget for professional growth, including conferences and courses.
  • Team-building budget for company events and colleague connection.
  • Equipment budget for necessary work tools.
  • Extra days off to support work-life balance.
Full Job Description
About the role

Cast AI is the leading Kubernetes cloud cost optimization platform, trusted by engineering and finance teams to dramatically reduce cloud spend. We're growing fast and looking for sharp, execution-oriented people to help scale our go-to-market motion.

As a GTM Enablement Manager, you will design and deliver programs that sharpen the skills, knowledge, and behaviors of our revenue teams - from new hire onboarding to ongoing product training and sales methodology coaching. You will work closely with Sales, Business Development, Marketing, Product, and Customer Success to ensure every customer-facing employee is equipped to have high-quality conversations, convert pipeline, and deliver exceptional customer experiences.
Requirements:
  • 4+ years of experience in sales enablement, GTM enablement, or a related learning and development role within a B2B SaaS company.
  • Demonstrated success designing and delivering enablement programs that measurably improved rep ramp time or sales performance.
  • Strong understanding of the B2B SaaS enterprise sales cycle, including MEDDPICC or similar enterprise sales methodologies.
  • Experience partnering with Product Marketing to create sales-ready content and competitive positioning materials.
  • Excellent facilitation and presentation skills; comfortable leading large group training sessions as well as 1:1 coaching conversations.
  • Data-driven mindset - you measure what you build and iterate based on outcomes, not just feedback.
  • Strong project management skills; able to manage multiple workstreams and deadlines independently.
  • Proficiency with enablement and sales tools such as Salesforce, Gong, Hubspot, Outreach, or similar platforms.
  • Exceptional written communication skills with the ability to distill complex technical topics into clear, compelling narratives.

Nice to Have:
  • Experience enabling sales teams in the cloud infrastructure, Kubernetes, FinOps, or DevOps space.
  • Familiarity with cloud cost management concepts, Kubernetes architecture, or related technical domains.
  • Experience building enablement programs for global teams across AMER, LATAM, EMEA, and APAC.
  • Exposure to Sales Engineering or Solutions Engineering enablement.
Responsibilities:
  • Design, build, and manage a comprehensive onboarding program for new AEs, BDRs, SEs, and Customer Success hires that accelerates time-to-productivity.
  • Develop and maintain a structured, scalable sales training curriculum covering CAST AI's product, competitive positioning, sales methodology, and buyer personas.
  • Partner with Product Marketing to translate new product releases and messaging updates into field-ready training content, battlecards, and talk tracks.
  • Build and facilitate live training sessions, workshops, role-plays, and certifications - in-person and virtual - across global teams.
  • Maintain and organize the enablement content library (playbooks, decks, one-pagers, objection handling guides) ensuring materials are current and easily accessible - experience with RevSpace or similar enablement platforms a plus)
  • Measure the impact of enablement programs through completion rates, assessment scores, ramp time, and downstream sales performance metrics.
  • Identify skill gaps and knowledge deficiencies through analysis of rep performance data, call reviews (Gong), and manager feedback; develop targeted interventions.
  • Partner with Systems on tool adoption training to ensure reps are effectively using Salesforce, Outreach, and other platforms in their daily workflows.
  • Create and manage an ongoing coaching cadence in partnership with front-line sales managers to reinforce skills learned in formal training.
  • Own the GTM enablement calendar, coordinating delivery across all functions and geographies to minimize disruption to selling time.
  • Partner with Sales Leadership and RevOps to roll out pipeline generation sales plays to the field.
  • Drive adoption of AI-powered tools and workflows to improve seller productivity, coaching effectiveness, prospecting, content creation, and overall GTM execution.
What's in it for you?
  • Competitive salary (depending on the level of experience).
  • Enjoy a flexible, remote-first global environment.
  • Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
  • Equity options.
  • Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
  • Team-building budget and company events to connect with your colleagues.
  • Equipment budget to ensure you have everything you need.
  • Extra days off to help maintain a healthy work-life balance.
Hiring process
  • Screening call with Recruiter
  • Hiring Manager interview
  • 1-2 additional interviews based on the role
  • Culture Check interview with an executive

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About CAST AI

CAST is a technology corporation headquartered in New York City and in France, near Paris. The firm markets software intelligence, with a technology based on semantic analysis of software source code and components. It provides information and size measurement technology and expertise. CAST offers software, hosting and consulting services in support software analysis and measurement. The company was founded in 1990 in Paris, France, by Vincent Delaroche. Its code quality metrics are used in application development service-level agreements, and the firm offers consultation on issues having to do with development quality and security: CAST was founded in 1990 in Paris by Vincent Delaroche. In 1996 it shipped its first software product based on semantic analysis of Transact-SQL. CAST Application Intelligence Platform, was first launched in 2004, initially introducing software quality measurement. In 2017, CAST Highlight is launched as a SaaS product scanning portfolio of software to provide metrics on health, cloud migration capabilities, and Open-source license risks. Early 2019, based on the same analysis technology, the firm launched CAST Imaging, a product representing graphically source-code components of a software. In 2012, the firm announced support for the Object Management Group Automated Function Point Standard, one way of measuring application development productivity. The firm's leadership includes Bill Curtis, who developed the Capability Maturity Model at the Software Engineering Institute in the early 1990s and then the Consortium for IT Software Quality.
Learn more about CAST AI
Industry
Information Technology
* Ladders Estimates

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