Dust
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Recently posted jobs
Artificial Intelligence
Own Dust’s product management practice as its first PM. Translate customer, GTM, and company signals into prioritized problems and initiatives; define objectives, KPIs, scope, and context; track outcomes; and coordinate Marketing, Communications, GTM, Product, Engineering, and Design. The role requires building processes from scratch, operating with distributed authority, using AI tools fluently, and improving how teams collaborate around product decisions.
Artificial Intelligence
Own full-cycle recruiting for U.S. go-to-market teams across sales, customer success, solutions engineering, partnerships, and marketing. Build proactive talent pipelines, advise leaders on hiring plans, design recruiting systems and interview processes, and strengthen sourcing workflows using AI. The role requires executive-recruiter judgment, strong GTM networks, stakeholder management, community building, and the ability to challenge hiring priorities while maintaining a high-quality candidate experience.
Artificial Intelligence
Build and manage Dust’s European solution partner ecosystem, focusing on digital transformation agencies and AI consultants. Responsibilities include sourcing and recruiting partners through outbound outreach, qualifying opportunities, shaping partner propositions, delivering onboarding and product training, accelerating first deals, conducting business reviews, managing partner performance, and supporting live sales cycles. The role directly drives partner-led revenue and requires strong relationship-building, enablement, communication, and entrepreneurial skills.
Artificial Intelligence
Own strategic enterprise customer relationships across implementation, adoption, value realization, renewal, and expansion. Build executive partnerships, guide AI adoption and organizational change, measure business outcomes, and identify expansion opportunities. Establish Customer Success playbooks, operating rhythms, account planning, and executive engagement processes for the UK market from Dust’s London headquarters. Represent customer needs internally and collaborate with Sales, Product, Deployment, and Engineering teams.
Artificial Intelligence
As a Software Engineer, you will design and implement features, collaborate with users, and lead technical projects while working with modern technologies in a fast-paced environment.
Artificial Intelligence
As a Growth Engineer, you'll develop revenue-driving systems, manage analytics and tracking, and collaborate with marketing teams to enhance user acquisition and conversion.
Artificial Intelligence
The Support Engineer will enhance user experiences through quality assurance, debugging, knowledge gap closure, and supporting agent responses, ensuring minimal human intervention in AI interactions.
Artificial Intelligence
The Senior Customer Success Manager at Dust will oversee the full customer lifecycle, promote AI adoption, drive value realization, and build strong relationships with key accounts to expand usage and capabilities. Responsibilities include managing customer experiences, orchestrating internal resources, and shaping the Customer Success practice in alignment with organizational goals.
Artificial Intelligence
As a Solutions Engineer, you'll demonstrate Dust's AI capabilities, help customers with technical evaluations, and collaborate with sales and engineering teams.
Artificial Intelligence
The Account Executive will drive business development, manage sales pipelines, enhance customer relationships, and provide insights to help expand Dust's market presence in the AI sector.
Artificial Intelligence
The Account Executive will drive new business acquisition, manage a sales pipeline, and provide an exceptional customer experience, focusing on building strategic relationships and market expansion.
Artificial Intelligence
The Senior Product Designer will define user experiences for an AI operating system, lead product discovery, create UI, collaborate with engineers, and influence product direction in a fast-paced environment.
Artificial Intelligence
As a Post-Sales Solutions Engineer, you will support existing customers in maximizing value from Dust's AI operating system, leading implementation projects, establishing relationships, and collaborating with cross-functional teams to drive customer success.
Artificial Intelligence
As a frontend engineer at Dust, you'll create engaging user interfaces, collaborate with designers, and work on backend tasks using TypeScript and Next.js. Responsibilities include leading frontend projects, ensuring code quality, and building scalable systems.
Artificial Intelligence
Generate qualified pipeline through targeted outreach, cold calling, and discovery with technical leaders and founders. Nurture and qualify leads, hand off sales-ready opportunities to AEs and SEs, track pipeline, collaborate with Marketing and GTM Engineers to optimize outbound campaigns, and use Dust agents daily to prospect, qualify, research accounts, and manage workflow.
Artificial Intelligence
Lead the support engineering function by building and owning AI agents, automation workflows, classification and knowledge systems to eliminate ticket categories. Run escalations, investigate complex issues across logs and code, hire and coach support engineers, and close feedback loops with product and engineering to continuously reduce manual support work.
Artificial Intelligence
Lead the support function by building AI agents, automation workflows, classification and knowledge systems to eliminate ticket categories. Split time between running escalations, investigating complex issues across logs and code, and hiring and developing support engineers. Own the "Support as a Product" backlog and drive product improvements from customer signal to engineering execution.
Artificial Intelligence
Manage the end-to-end customer lifecycle for strategic enterprise accounts, driving AI adoption, value realization, retention, and expansion. Act as a trusted advisor to executives, coordinate cross-functional resources, deliver business reviews, shape CS playbooks, and provide customer feedback to product teams to scale GenAI adoption and organizational change.
Artificial Intelligence
Lead enterprise deployments and enablement for Dust customers: define goals, design persona-specific training, build scalable enablement programs and content, monitor adoption, remove blockers, partner with Sales/Product, and establish repeatable best practices for AI adoption and scaling.
Artificial Intelligence
Create high-quality demo videos, product walkthroughs, and reusable assets that translate Dust's complex capabilities into clear narratives. Partner with Engineering and Design to own demo environments, produce end-to-end content (script to delivery), scale launches, and build production templates and workflows to drive awareness, activation, and growth.



