Enterprise Account Executive - Dutch Speaking

Job title: Enterprise Account Executive - Dutch Speaking

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.

At Algolia, we are on a mission to help businesses connect their end-users with what matters most, in milliseconds. As the leader in AI-powered Search and Discovery, we’re driving the next frontier of digital experiences - where generative AI, adaptive relevance, and agentic workflows help enterprises move beyond traditional search into truly intelligent, self-optimising discovery at scale.

As an Enterprise Account Executive, you’ll play a pivotal role in bringing these innovations to life for Global 2000 organisations. You won’t just sell a product - you’ll guide customers through a transformation where algorithms act as strategic copilots, delivering contextual recommendations, predictive experiences, and AI-assisted user journeys that improve engagement and business outcomes.

You will own complex, high-impact relationships, lead multi-stakeholder buying cycles, and work cross-functionally to articulate the value of AI-first search, agentic automation, and composable architecture. This role demands strategic instincts, a consultative mindset, and the ability to translate AI innovation into measurable business value.

You are a builder, a challenger, and a trusted advisor. You thrive in dynamic environments and know how to position Algolia as a key enabler of AI-driven digital transformation - not just another line item in a stack.

YOUR ROLE WILL CONSIST OF:

• Owning, managing, and accelerating an enterprise pipeline

• Driving inbound and outbound opportunities through complex, multi-threaded sales cycles to closed-won

• Positioning Algolia’s generative AI and agentic capabilities to executives and technical champions - showing how real-time relevance, predictive personalisation, and autonomous search assistants deliver business value

• Developing territory and account strategies across your portfolio

• Expanding existing accounts by identifying opportunities for strategic and commercial growth

• Generating new enterprise projects by self-sourcing high-value meetings, networking within communities, and leveraging partner ecosystems

• Partnering with Solutions Engineering to build bespoke demos, proofs-of-value, and ROI analyses that highlight impact beyond traditional search metrics

• Forecasting accurately with disciplined methodologies (MEDDPICC) and a deep understanding of decision drivers and buyer risk profiles

• Collaborating cross-functionally (SDRs, Solutions Engineers, Customer Success, Legal, Marketing, Partners) to align execution with business outcomes and long-term enterprise value

YOU MIGHT BE A FIT IF YOU HAVE:

• Fluency in Dutch and English

• 5+ years of enterprise SaaS sales experience, with a strong track record of closing complex deals - especially in digital transformation, AI/ML, or search/commerce domains

• A deep interest in generative AI, machine learning-enabled customer experiences, and how agentic systems unlock competitive advantage

• Proven success selling into large, multi-department organisations with complex evaluation criteria and dispersed stakeholder influence

• Familiarity with selling adjacent solutions or ability to quickly learn technical differentiation and articulate it to technical and executive stakeholders

• Strong outbound sales capability, modern prospecting skills, and comfort leading with insight

• Experience working with strategic partners (consultancies, SIs, ISVs) to co-build opportunities

NICE TO HAVE:

• Experience selling platforms with usage-based pricing, AI-first capabilities, or composable architectures

• Understanding of how generative models and agentic tools are used in commerce, discovery, and digital engagement

• Comfort discussing technical architecture and AI relevance with technical decision makers

• A curious, growth-oriented approach with the ability to balance strategic vision and execution rigor

• A passion for building new ground - especially where cutting-edge AI meets real business outcomes

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.