Algolia is looking for a Post-Sales Enablement Manager to strengthen how our Renewals, Customer Success, Solutions and Professional Services, and Support teams serve customers. You will build the product knowledge, technical confidence, and customer-facing skills these teams need across the customer lifecycle. Heavy post-sales hiring is planned for next year, so onboarding is the first priority.

A central part of this role is translating product change into field readiness: helping teams understand how new capabilities work, where they create value, and how to apply that knowledge in customer conversations. You will also help teams make effective use of the tools and resources already available to them through practical guidance, coaching, and reinforcement.

Responsibilities:

• Build enablement across post-sales. Develop onboarding and ongoing programs for Renewals, CSMs, Solutions and Professional Services, and Support. Establish shared knowledge where it helps, while tailoring learning to each team’s responsibilities.
• Own the roadmap as a strategic advisor. Take in competing requests from post-sales leaders, prioritize them, and present an FY28 enablement roadmap rather than taking orders. Recognize when a need calls for a process fix, such as a RevOps change, instead of training.
• Turn product launches into readiness. Partner with Product and technical experts to understand new capabilities, use cases, implementation considerations, and limitations. Create learning experiences, demonstrations, and resources that help teams apply that knowledge with customers.
• Connect product capabilities to customer value. Work with Product Marketing to equip teams to explain outcomes and differentiation to both business and technical audiences.
• Develop customer-facing skills. Build programs that improve discovery, success planning, adoption conversations, value reviews, renewal preparation, risk conversations, and issue resolution, as relevant to each team.
• Help teams use their tools well. Partner with post-sales leaders and Operations to identify where teams need better guidance, skills, or habits to use existing systems effectively. Build practical resources, coaching, and reinforcement that make effective practices part of daily work.
• Coach and reinforce. Use customer conversations, team feedback, and performance signals to identify skill gaps. Equip managers with ways to coach and reinforce new behaviors after formal training ends.
• Measure effectiveness. Define clear learning and behavior goals, assess proficiency and adoption in the field, and use relevant customer and business signals to improve programs over time.
• Apply AI thoughtfully. Use generative AI tools to improve the speed and quality of research, content creation, and knowledge access while checking accuracy and handling customer information responsibly.

Requirements:

• 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.
• A strong understanding of the post-sales lifecycle and experience supporting multiple functions, such as Customer Success, Renewals, Professional Services, Solutions, or Support.
• A track record of helping teams apply new product knowledge and customer-facing skills in their day-to-day work, with evidence that your programs changed behavior or improved performance.
• The technical fluency to learn an API-based product, collaborate credibly with technical experts, and explain how a capability works to both technical and nontechnical audiences.
• Experience enabling teams to use Gainsight (required), including CTAs, Cockpit, Success Plans, health scores, and playbooks. Salesforce, Gong, and Seismic are nice to have. You understand how these tools support good customer practices; you do not need to have administered Gainsight.
• Strong instructional design, facilitation, writing, and program management skills. You can turn complex information into clear, useful learning for busy teams.
• Practical experience using generative AI tools, such as ChatGPT or Claude, to improve the quality or scale of your work.
• The judgment to prioritize the most valuable learning needs and the ability to build trust across Product, Product Marketing, post-sales leadership, and Operations.

Experience with search, product discovery, ecommerce, developer tools, or enterprise implementations would be especially useful. We value demonstrated results and technical learning ability over a particular degree or fixed career path.

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