Solutions Engineer

Attio

Attio is the CRM built for the AI era. Designed for the most ambitious go-to-market teams, it gives companies the power to understand every customer, automate at scale, and build their go-to-market motion exactly as they need. We've raised $116M from some of the world's best investors: GV (Google Ventures), Redpoint, Balderton, Point Nine, and 01A. We hire builders who thrive on complex technical challenges, hold themselves to a high bar, and genuinely care about delighting the people who use what they build. The team here brings sharp judgement, real craft, and the drive to do exceptional work. We're obsessed about the details and energized by the frontier. If you want to do the best work of your career, this is the right place. ABOUT THE ROLE Our Customer Success team is integral to how we build, grow, and deliver value. We help customers adopt Attio quickly, integrate it smoothly, and unlock lasting impact. With technical fluency and deep empathy, we guide teams through complex use cases, share insights that shape the product, and turn great onboarding into long-term success. We’re looking for a Solutions Engineer who’s thoughtful, resourceful, and resilient — and wants to help reinvent how millions of people work. WHAT YOU'LL DO * Work directly and independently with Attio’s new customers via video call, email, and live chat to ensure their success with Attio * Design and develop programs to support customer onboarding at scale e.g., user guides, documentation, onboarding emails, office hours * Identify accounts where there is opportunity to expand Attio’s impact and footprint, and collaborate with Sales and Customer Success teams to nurture that growth * Work collaboratively with internal teams (e.g., support or engineering) to address and resolve customers' product issues * Gather client feedback and insights to contribute to the continuous improvement of the Attio product WHAT YOU'LL BRING * Direct customer-facing experience deploying, selling, or managing complex products or services * Customer-facing experience solving business problems with technology * Experience in designing and explaining solutions using SaaS concepts like APIs and JSON, and integrating systems using code or iPaaS solutions like Zapier, Tray.ai, IFTTT, etc. * Some professional or academic experience with 1 programming or query language (Javascript, Python, SQL) * Ability to work independently in an unstructured, fast paced, environment with shifting priorities WHAT DOES THE HIRING PROCESS LOOK LIKE? Our hiring process is designed to help us identify people with critical thinking and analytical problem solving abilities. We will test for excellent customer communication skills and your technical level, in search of no-code experts, basic programming skills and people who are comfortable with APIs and JSON. 1. 30-minute introductory phone call with a member of our Talent team 2. 30-minute interview with our Head of Customer Success 3. 45-minute technical case interview 4. Two 30-minute interviews with relevant stakeholders and Mock Demo exercise 5. 30-minute closing conversation with our CEO 6. Offer stage

Dust

ABOUT DUST Work is being rewritten, and the people holding the pen are the ones who actually run it. With enterprise-grade governance, flexible model choice, and a collaborative interface for humans and agents to work together, Dust empowers AI Operators at the world’s fastest-moving companies to rewire how work gets done. With 70%+ weekly active users, people stick with Dust as much as they do with Slack and Notion. We don't get piloted and shelved. We land once, and spread. We're at an exciting stage of our journey, and growing fast. We're serving great customers like Datadog, 1Password, Cursor, Clay, Vanta and Persona, and aim to x5 our growth by the end of 2026. Dust is backed by Sequoia with a determined team of optimists (coming from Stripe, OpenAI, and Stanford) who like to focus on users, ship fast, and don't take themselves too seriously while doing so. The Generalist named us among the Future 50. TLDR; As our founding Post-Sales Solutions Engineer at Dust, you will act as the technical partner for our existing customers, ensuring they maximize value from our AI operating system throughout their journey with us. Your primary focus will be driving long-term customer success through high-value use cases, deep adoption, and expansion opportunities that make Dust indispensable to customer workflows. You will work closely with our Customer Success and Product & Engineering teams to deepen customer relationships and drive retention.   WHAT YOU'LL DO   HELP BUILD DUST’S POST-SALES SOLUTIONS ENGINEERING FUNCTION FROM THE GROUND UP   * Be instrumental in shaping our global Solutions Engineering organization as one of the first post-sales SE hires in the US * Help define processes, establish best practices, and lay the foundation for how post-sales technical partnership scales at Dust * Develop deep expertise in Dust’s platform capabilities, AI workflows, and prompt engineering best practices to become a trusted internal resource for complex customer scenarios   SERVE AS A STRATEGIC TECHNICAL PARTNER TO CUSTOMERS   * Act as a trusted technical advisor to Enterprise customers, building long-term relationships with both technical and business stakeholders * Lead advanced implementation projects including high-value use cases, technical integrations, and custom AI workflows * Discover customer pain points and help architect scalable agent ecosystems that drive meaningful business outcomes * Push the boundaries of what customers can accomplish with AI agents and proactively deepen adoption over time   DRIVE CUSTOMER ADOPTION, ENABLEMENT, AND EXPANSION   * Partner closely with Customer Success to drive high-value adoption, retention, and expansion across your book of business * Lead workshops, training sessions, and enablement programs that help customers successfully operationalize Dust * Communicate complex technical concepts clearly to technical teams, executives, security stakeholders, and end users * Adapt presentations, demos, and implementation guidance to the needs and technical sophistication of each customer audience   BRIDGE CUSTOMER FEEDBACK WITH PRODUCT EVOLUTION   * Champion customer needs with Product and Engineering teams, translating customer feedback, usage patterns, and operational challenges into actionable product insights * Identify recurring implementation patterns and turn them into reusable frameworks, documentation, and best practices * Advocate for product improvements that drive better customer outcomes and platform scalability * Help shape how AI-native post-sales organizations operate as Dust continues to scale   REQUIREMENTS   Every candidate and employee's success is measured against the same 3 dimensions. Aptitude, Attitude and Agency.   APTITUDE * 4+ years in customer-facing technical roles such as Solutions Engineering, Solutions Architecture, Implementation Engineering, Technical Consulting, or Software Engineering * Strong technical aptitude with the ability to work directly with both engineers and business stakeholders * Familiarity with APIs, web development, integrations, and lightweight scripting or tooling * AI fluency beyond prompting; experience building workflows, automations, or agent-based systems using modern AI tools is highly desirable * Strong discovery and problem-solving skills with the ability to translate ambiguous customer pain points into technical solutions * Excellent communication skills across workshops, training, implementation, and stakeholder management * Strong organizational skills and ability to manage multiple parallel customer initiatives simultaneously   ATTITUDE * Deeply curious and motivated to become an expert in both Dust’s product and the evolving AI landscape * Customer-obsessed with a genuine desire to solve meaningful problems and create long-term value * Highly proactive and resourceful; you don’t wait to be told what needs improvement * Thrives in ambiguity and fast-moving environments where processes and playbooks are still being defined * Collaborative and low ego; you work effectively across Customer Success, Product, Engineering, and GTM teams * High standards and strong execution without needing heavy structure or oversight * Excited by the opportunity to help define a new category and shape how companies operate with AI   AGENCY * Operate with strong ownership and drive customer outcomes end-to-end without needing to be micromanaged * Proactively identify opportunities for account expansion, deeper adoption, and new AI use cases * Push projects forward independently while knowing when to involve cross-functional partners * Identify recurring patterns across customer work and turn them into scalable solutions, documentation, or product opportunities * Advocate for customers with urgency and influence product direction when needed * Continuously improve how you work and support customers to increase leverage and impact   COMPENSATION AND BENEFITS * Competitive compensation: $220,000-280,000 OTE * Support for relocation (up to $10k) * Significant equity package in a Sequoia-backed startup * Health insurance for you and your dependents * New MacBook Pro or Linux machine, monitor, keyboard, etc. * Beautiful office in the heart of San Francisco * Opportunity to travel to Paris multiple times a year * Regular team events and offsite LOCATION We're prioritizing building our team with an in-person culture at our offices in Paris, San Francisco, and New York because we value the magic that happens when talented people work closely together. We have an office-first culture. Some of the best things about building at Dust are the energy, the fast decisions, and the unexpected conversations that unlock a hard problem, which happen because we are in the same room. Being together is not a formality, it is how we do our best work, and it is something we actively protect. That said, we hire people with strong judgement and we extend that trust to how they manage their time. When working from home makes more sense for what you need to get done that day, we trust you to make that call. WHY DUST The models are powerful enough. What's missing is the product layer where AI meets how companies actually work. That's what we're building: the infrastructure that lets any team turn scattered knowledge and tools into coordinated execution with agents they build, own, and run themselves. We use Dust ourselves every day. We get to shape how humans and agents collaborate while solving our own problems with the product we ship. That loop is rare, and it's why we move fast. If you're excited about defining a new category and want to join a determined team of optimists who focus on users, ship fast, and don't take themselves too seriously, 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 our cofounder, Stanislas Polu, 2024

Carnot

ABOUT THE ROLE Technical engineer who works directly with enterprise customers to deploy and customize Jinba's workflow automation platform. You'll be the bridge between our product team and major enterprise clients, turning their business needs into working solutions. RESPONSIBILITIES * Deploy and configure Jinba for enterprise customers, ensuring successful adoption * Work with customers to understand their existing tech stack, workflows, and requirements * Build integrations connecting Jinba to customer systems (internal databases, legacy applications, enterprise software) * Translate customer feedback into product requirements for the engineering team * Debug and resolve production issues in customer deployments * Develop best practices, documentation, and reusable integration patterns from field experience * Own customer technical relationships from pilot through expansion REQUIREMENTS EXPERIENCE * 3+ years in customer-facing technical roles (solutions engineering, implementation, consulting, or similar) * TypeScript proficiency; comfortable reading and modifying both frontend and backend code ENTERPRISE INTEGRATION * Deep understanding of enterprise tech stacks (ERP systems, databases, identity providers, internal APIs) * Experience integrating with legacy systems and navigating complex IT environments * Familiarity with enterprise security and compliance requirements (SOC 2, on-prem deployments, VPNs, SSO) CUSTOMER SKILLS * Strong communication skills with both technical and non-technical stakeholders * Ability to work with IT teams, business users, and executives across different functions * Experience in regulated industries (finance, insurance, manufacturing a plus) TECHNICAL UNDERSTANDING * Familiarity with AI/LLM products and how they behave in production * Understanding of integration patterns (APIs, webhooks, data pipelines, ETL) STRONG SIGNALS * Engineering or technical roles at major consulting firms (McKinsey, BCG, Bain) * Forward Deployment Engineer or similar customer-facing technical roles at Palantir, Accenture, or Deloitte * Implementation, solutions, or technical consulting experience at enterprise software companies (Salesforce, ServiceNow, Workday) * Prior experience deploying AI/automation products to large organizations MINDSET * Customer obsessed: you find satisfaction in solving real problems for real users * Willing to travel: 10-20% to customer sites * Entrepreneurial: you'll shape how we do deployments as the first dedicated FDE ABOUT JINBA We help large enterprises build automated workflows using plain English. Unlike traditional no-code tools that bolt a chat agent onto their interface, Jinba is built as a native vibe coding platform from the ground up. YC W26. International team across SF and Tokyo. Growing fast with major enterprise contracts.