Revenue Enablement Manager, Post Sales

New

AlgoliaSearch and product discovery

United States RemoteFull-TimeManager

Salary106,000 - 128,571 USD per year

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Job Details

Experience: 3-5 years of experience in post-sales or enablement, including at least 1-2 years of demonstrated success building enablement programs for customer-facing teams in a B2B SaaS or similarly complex technology business.
Required Skills: Customer SuccessGenerative AI

Have 3-5 years of experience in post-sales or enablement, including 1-2 years building enablement programs for customer-facing teams in B2B SaaS or a similarly complex technology business.
Understand the post-sales lifecycle and have experience supporting multiple functions such as Customer Success, Renewals, Professional Services, Solutions, or Support.
Show evidence that enablement programs changed behavior or improved performance by helping teams apply product knowledge and customer-facing skills in daily work.
Have the technical fluency to learn an API-based product, collaborate with technical experts, and explain capabilities to technical and nontechnical audiences.
Have experience enabling teams to use Gainsight, including CTAs, Cockpit, Success Plans, health scores, and playbooks.
Bring strong instructional design, facilitation, writing, and program management skills.
Have practical experience using generative AI tools such as ChatGPT or Claude to improve the quality or scale of work.
Demonstrate judgment in prioritizing valuable learning needs and building trust across Product, Product Marketing, post-sales leadership, and Operations.
Experience with search, product discovery, ecommerce, developer tools, or enterprise implementations is useful.

Develop onboarding and ongoing enablement programs for Renewals, Customer Success, Solutions and Professional Services, and Support.
Prioritize post-sales enablement needs and present an FY28 roadmap, identifying when a process fix is more appropriate than training.
Partner with Product and technical experts to turn new capabilities, use cases, implementation considerations, and limitations into learning experiences, demonstrations, and resources.
Work with Product Marketing to help teams explain product outcomes and differentiation to business and technical audiences.
Build programs for discovery, success planning, adoption conversations, value reviews, renewal preparation, risk conversations, and issue resolution.
Partner with post-sales leaders and Operations to create practical guidance and coaching for effective use of existing systems.
Use customer conversations, team feedback, and performance signals to identify skill gaps and equip managers to reinforce new behaviors.
Define learning and behavior goals, assess proficiency and field adoption, and improve programs using customer and business signals.
Use generative AI tools to improve research, content creation, and knowledge access while checking accuracy and handling customer information responsibly.

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