Revenue Enablement Manager, Post Sales

Algolia

3d • $106,000 - $128,571 • Remote

About The Position

Algolia is hiring a Post-Sales Enablement Manager to strengthen how its Renewals, Customer Success, Solutions and Professional Services, and Support teams serve customers. The role builds product knowledge, technical confidence, and customer-facing skills across the customer lifecycle, with onboarding as the first priority in anticipation of substantial post-sales hiring.

The manager translates product changes into field readiness, helping teams understand new capabilities, their value, and how to apply them in customer conversations. The role also helps teams use existing tools and resources effectively through practical guidance, coaching, and reinforcement. The manager serves as a strategic advisor to post-sales leaders, prioritizes enablement needs, and develops an FY28 enablement roadmap, recognizing when a process change rather than training is the right solution.

The role partners with Product, Product Marketing, technical experts, post-sales leaders, and Operations to develop learning programs and resources. It measures proficiency, adoption, behavior change, and relevant customer and business outcomes, then improves programs over time. The position is remote-eligible according to Algolia’s stated country restrictions, with a flexible workplace model that may also include hybrid or office-based arrangements depending on location and role.

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.
• Strong understanding of the post-sales lifecycle and experience supporting multiple functions, such as Customer Success, Renewals, Professional Services, Solutions, or Support.
• Track record of helping teams apply new product knowledge and customer-facing skills in their day-to-day work, with evidence that programs changed behavior or improved performance.
• Technical fluency to learn an API-based product, collaborate credibly with technical experts, and explain capabilities to technical and nontechnical audiences.
• Experience enabling teams to use Gainsight, including CTAs, Cockpit, Success Plans, health scores, and playbooks; Gainsight administration experience is not required.
• Strong instructional design, facilitation, writing, and program management skills, including the ability to turn complex information into useful learning for busy teams.
• Practical experience using generative AI tools such as ChatGPT or Claude to improve the quality or scale of work.
• Good judgment in prioritizing valuable learning needs and ability to build trust across Product, Product Marketing, post-sales leadership, and Operations.

Nice To Haves

• Experience with Salesforce, Gong, or Seismic.
• Experience with search, product discovery, ecommerce, developer tools, or enterprise implementations.
• Demonstrated results and technical learning ability; the company values these over a particular degree or fixed career path.

Responsibilities

• Develop onboarding and ongoing enablement programs for Renewals, Customer Success Managers, Solutions and Professional Services, and Support, sharing knowledge where appropriate and tailoring learning to each team.
• Prioritize competing requests from post-sales leaders and present an FY28 enablement roadmap; identify needs that require process fixes, such as RevOps changes, rather than training.
• Partner with Product and technical experts to turn product launches into field readiness by creating learning experiences, demonstrations, and resources covering capabilities, use cases, implementation considerations, and limitations.
• Work with Product Marketing to help teams explain product outcomes and differentiation to business and technical audiences.
• Build programs that improve relevant customer-facing skills, including discovery, success planning, adoption conversations, value reviews, renewal preparation, risk conversations, and issue resolution.
• Partner with post-sales leaders and Operations to help teams use existing systems effectively through practical resources, coaching, and reinforcement.
• Use customer conversations, team feedback, and performance signals to identify skill gaps and equip managers to coach and reinforce behaviors after formal training.
• Define learning and behavior goals, assess proficiency and field adoption, and use relevant customer and business signals to improve programs.
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed