Customer Success Manager job opportunity at Dust.

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Dust Customer Success Manager
Experience: General
Pattern: full-time
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GTM

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degreeBachelor's (B.Sc.)
loacation Paris, France
loacation Paris....France

About Dust We're creating a new AI operating system that has the potential to change the way companies operate . Our mission at Dust is to transform how work gets done by letting any team and employee shape the exact agents they need to accelerate their work. With 70%+ weekly active users, people stick with Dust as much as they do with Slack and Notion. We already are a core part of their jobs. We're at an exciting stage of our journey and growing fast. We're serving great customers like Cursor, Clay, Whatnot, and Persona, and aim to 5x our growth by the end of 2026. Dust is a Sequoia-backed company with an experienced and determined team of optimists (coming from companies like Stripe and OpenAI) that likes to focus on users, getting great things done by shipping fast, and doesn’t take itself too seriously while doing so. TLDR; The Customer Success team at Dust partners with our customers to transform how they work with AI. You'll act as a trusted advisor managing the complete customer journey from partnership kick-off through long-term adoption, value realization, and strategic account growth. Joining Dust also means pioneering a new form of Customer Success. As a GenAI-native company, Dust aims to illustrate how GenAI can help redefine the experience customers can expect from software and how Customer Success teams can operate with AI at their core. You'll contribute to building processes, playbooks, and scalable frameworks in a fast-paced environment that encourages a doer attitude and ownership over outcomes. Responsibilities Lead and optimize the full customer lifecycle for your portfolio of mid-market to enterprise customers , driving sustained engagement and expansion across teams and departments. Help customers identify high-impact use cases and translate them into repeatable rollout plans aligned with business goals and product capabilities. Demonstrate measurable value realization through Enterprise Business Reviews , capturing customer impact in terms of time saved, costs reduced, and operational improvements. Drive account retention and expansion by building trusted advisor relationships, identifying opportunities, and scaling Dust’s impact across customer organizations. Guide organizational AI transformation as a change management partner , working cross-functionally with customer stakeholders to scale AI adoption company-wide. Partner with customers on evolving their AI governance and best practices as their usage matures. Orchestrate internal resources to deliver exceptional customer outcomes , partnering closely with AI Deployment Strategists during the deployment phase, Forward-Deployed Engineers for technical escalations and custom solutions, Product for feedback loops, and Sales for expansion and renewal opportunities. Act as the central point of coordination ensuring customers receive timely, cohesive support across all touchpoints. Be the voice of users at Dust , providing insights on customer experience, adoption blockers, and high-value use cases to shape product development in the rapidly evolving GenAI landscape. Maintain continuous feedback loops between customer usage patterns and product roadmap priorities. Requirements Minimum 3 years in Customer Success roles , with a proven track record driving adoption, retention, and expansion for mid-market to enterprise customers, preferably in the SaaS industry. Proven impact developing and deploying digital adoption and enablement strategies for complex technical products in rapidly evolving landscapes. Experience with AI-driven products or emerging technology categories is a strong plus. Proven ability to develop product knowledge and effectively communicate technical concepts to drive customer adoption and success Proven ability to drive organizational change management and transformation initiatives , guiding customers through long-cycle adoption journeys (6-9 months) that require sustained engagement, executive alignment, and cross-functional coordination. Excellent communication skills in English and French to effectively engage with a diverse range of stakeholders, including C-levels. Curiosity, eagerness to learn, and adaptability with a flair for elegant solutions to first-of-a-kind problems. Robust prioritization and multitasking skills to manage multiple customers simultaneously while building organizational infrastructure as an early team member. High level of ownership and initiative with a "doer attitude". Ability to operate alongside demanding users in an emerging field, driving outcomes effectively. Location We're prioritizing building our team with an in-person culture at our offices in Paris and San Francisco, because we value the magic that happens when talented people work closely together. Why Dust We're not building yet another enterprise SaaS tool. We’re creating an AI OS that will fundamentally change how companies operate. We believe existing AI models are powerful enough to have a tremendous impact on the world (and will keep getting better). The key is building the infrastructure so they have the right context, and building the best interfaces for humans to interact with them. We have the unique opportunity to explore and shape the way humans interact with machines while building a product we use ourselves every day. If you're excited about crafting products that reinvent B2B software and want to join a team that combines the best of startup culture with the backing of top-tier investors, we'd love to talk. ???? Even if you don't check every box in our requirements, we encourage you to apply. We value diverse perspectives and backgrounds, and we're more interested in your potential and passion than a perfect match to our checklist. ___ Learn how we think and work. Our product constitution : a story about our mission Agents at Work - Latent Space podcast with our cofounder, Stanislas Polu (2024) LLMs reasoning and agentic capabilities over time - dotAI podcast with Stanislas Polu (2024)

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