Jobs in the United States

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Added 2 mins ago
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Algolia

Revenue Enablement Manager, Post Sales

Remote, United States

$106,000 - $128,571 USD

Apply on job-boards.greenhouse.io About employer

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Job details

Pay: $106,000 - $128,571 USD
Posting language: English
Posted: Nov 10, 2026

Original job description

Algolia is the retrieval intelligence layer that turns intent into trusted, decision-grade outcomes. Powering more than 1.7 trillion queries a year for over 18,000 customers with millisecond latency and 99.999% reliability, we are the recognized leader for Search and Product Discovery by top industry analyst firms. The Algolia platform turns a company's products, content, and business rules into data that humans, applications and AI agents can act upon. The result is trusted customer experiences with stronger conversions for measurable business impact.

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.

Algolia does not discriminate on the basis of race, color, religion, sex, age, national origin, military status, veteran status, disability status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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.

WE’RE LOOKING FOR SOMEONE WHO CAN LIVE OUR VALUES:

GRIT - Problem-solving and perseverance capability in an ever-changing and growing environment.
TRUST - Willingness to trust our co-workers and to take ownership.
CANDOR - Ability to receive and give constructive feedback.
CARE - Genuine care about other team members, our clients and the decisions we make in the company.
HUMILITY - Aptitude for learning from others, putting ego aside.

We’re looking for talented, passionate people to help build the world’s best search and discovery technology. We value autonomy, diversity, and collaboration. We’re committed to creating an inclusive workplace where everyone is respected and supported - regardless of race, age, ancestry, religion, sex, gender identity, sexual orientation, marital status, color, veteran status, disability, or socioeconomic background.

IMPORTANT NOTICE FOR CANDIDATES - Recruitment Fraud Notice

We’ve recently seen an increase in recruitment scams targeting job seekers. To help protect yourself, please keep the following in mind:

Our open positions may appear on third-party job boards, but the best way to apply safely is directly through our careers page.
All genuine communication from Algolia will come from an @algolia.com email address. If you receive an email from someone claiming to work at Algolia who does not have an @algolia.com email address, please do not respond or share any personal information.
We’ll never ask for payments, purchases, or financial details during the hiring process.

READY TO APPLY?

If you share our values and our enthusiasm for building the world’s best search & discovery technology, we’d love to review your application!

Apply on job-boards.greenhouse.io About employer

More about this job

Skills

Sales
Product knowledge
Coaching
Prepare orders
CTAS
Salesforce
Program management
Leadership
Give advice to others

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Work requirements

Jobs in the United States