Senior AI Solutions Engineer, LaunchDarkly

• Extensive experience with AI applications, either through building, implementing, or selling AI solutions
• Profound technical expertise in software development, feature flagging, experimentation, and observability
• Strong foundation in software engineering principles and current market trends
• Exceptional skill in communicating complex technical concepts to both engineering teams and non-technical stakeholders
• Develop and implement technical solutions in partnership with our first 100 AI Config customers
• You are curious about how AI changes software development and you obsess over new AI technology
• You have hands-on experience building AI applications at work or in your passion projects
• You are a storyteller, you can take new technology and craft demo stories to wow an audience
• You care deeply about sharing AI development best practices and can demonstrate these best practices in front of large audiences
• You are passionate about guiding customers through new technologies and consulting them on the best approach for their business
• You love to teach others how to succeed and can create assets and playbooks to train and enable our field teams on how to sell LaunchDarkly’s AI Products
• You love figuring it out, building new processes, and working in an undefined space

• As the first AI Solutions Specialist for our new AI configs product, you'll be at the forefront of revolutionizing how AI engineers release, monitor, and optimize their applications. Working within the LaunchX incubation team, you'll be instrumental in shaping and driving the adoption of our AI engineering solutions across LaunchDarkly’s customers
• You'll serve as the domain expert for LaunchDarkly's AI engineering products, joining our pioneering LaunchX team dedicated to shepherding new products to market. In partnership with your GTM Lead, you'll create and refine the initial playbooks that will define our market approach. Your expertise will be crucial in establishing the Solutions Engineering frameworks that will guide our future success
• Lead strategic initiatives to identify and engage with key design partners and lighthouse customers, offering technical expertise and pitching innovative solutions that align with organizational goals
• Play a critical role in gathering and integrating customer feedback, market trends, and competitive insights into the product development lifecycle, ensuring solutions meet evolving market demands
• Facilitate cross-functional technical workshops and collaborative discussions with both internal teams and external stakeholders, driving alignment on new product offerings and solutions
• Spearhead the early-stage implementation and adoption of new products, working closely with design partners and lighthouse customers to ensure seamless deployment and measurable impact
• Develop and document Solutions Engineering playbooks and best practices
• Collaborate extensively with product and engineering teams to ensure product concepts are technically feasible and align with LaunchDarkly's strategic goals
• Drive continuous improvement by monitoring product performance, user experience, and market response, while iterating based on actionable data and insights
• Develop and refine strategies for new product launches, including documentation, product positioning, and messaging
• Ensure that new products adhere to market demand and deliver exceptional user experiences, especially for the AI developer persona
• Leverage a broad skill set to tackle complex challenges and support product teams in refining and enhancing offerings for maximum customer value and market success

• Full Vision
• Full Dental
• Full Medical
• Flexible Schedule
• Healthy Lunches & Snacks
• Conference & Meetup Access
• Education Stipend
• Personalized Work Station
• Close to Public Transportation
• Bike Parking
• Team Activities
• Unlimited paid time off policy
• Work from home opportunities
• Health insurance

Total funding: $330.3m

Feature flags are a powerful software development tool, allowing teams to modify system behavior without changing code, therefore minimizing risk. If a business has a new feature they want to test, they can then roll it out to a small set of users before letting it go live. These companies can, for example, get quick feedback on the new feature and fix any bugs, or roll back any changes.