Revenue Enablement Manager, Post Sales

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.

Additional information

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.

#LI-Remote

Pay and benefits

The annual base salary compensation range for this role reflects market pay data within this location. The exact compensation offered for this role may vary depending on specific location and job-related knowledge, technical skills, and experience; and is only one part of our Total Rewards philosophy to compensate and recognize employees for their work.

Base Salary Pay Range $106,000 - $128,571 USD

Flexible Workplace Strategy

Algolia's flexible workplace model is designed to empower all Algolians to fulfill our mission to power search and discovery with ease. We place an emphasis on an individual's impact, contribution, and output, over their physical location. Algolia is a high-trust environment and many of our team members have the autonomy to choose where they want to work and when.

We have a global presence with offices in Paris, NYC, London, Sydney and Bucharest, however we also offer many of our team members the option to work remotely either as fully remote or hybrid-remote employees. Positions listed as "Remote" are only available for remote work within the specified country. Positions listed within a specific city are only available in that location - depending on the role it may be available with either a hybrid-remote or in-office schedule.