About the Job

We’re seeking a Senior Developer Advocate to play a pivotal role in enabling our internal engineering teams to harness the full power of Gen AI and data for transformative applications across our product suite.

As the Senior Developer Advocate, Data & AI, you will be the champion of Intuit’s AI and data platforms within the organization, enabling internal teams through education, support, and technical leadership in AI and data tools. Your role will involve working closely with product managers, data engineers, software developers, and other internal stakeholders to ensure seamless adoption and integration of Intuit’s AI/ML technologies. You will facilitate cross-team collaboration, provide guidance on AI best practices, and advocate for internal needs to product and engineering teams to drive innovation and efficiency.

You will advocate for new models and capabilities such as qodo (formerly CodiumAI), GPT-4, SageMaker, Vertex, LangChain, Large Language Models (LLMs), Prompt Engineering, DialogFlow, Python and more by building high-quality sample apps and demos, creating compelling technical content, suggesting code snippets to shape our dev docs, and developing new tools for our engineers to use as they build on top of Intuit’s Development Platform. The role requires a blend of technical expertise, community engagement, and content creation to enhance the capabilities of developers working with cloud-based AI services, machine learning models, natural language processing, and data analytics.

This role is ideal for someone passionate about AI, with a deep understanding of machine learning frameworks and data platforms, who can both code and communicate effectively.

Job Responsibilities

• Content Creation & Technical Writing: Develop technical resources including blog posts, tutorials, videos, and sample code to simplify the adoption of Intuit’s AI tools. Lead the creation of internal knowledge bases, including FAQs, tutorials, and technical papers to accelerate learning and solution implementation.

• Internal Enablement & Education: Deliver internal workshops, technical training sessions, and onboarding materials to support teams in deploying AI/ML solutions. Be the go-to expert on AI and data best practices, helping teams solve complex technical challenges.

• Developer Engagement & Community Building: Build and nurture relationships with developers, data scientists, and engineers by contributing to forums, leading webinars, hosting workshops, and engaging on social media platforms. Support and grow open source initiatives and community driven projects around Intuit’s AI and data offerings.

• Thought Leadership in AI & Data: Stay on the cutting edge of AI and machine learning technologies, and translate complex technical concepts into easily digestible content for the developer community. Present at internal town halls, leadership meetings, and team all-hands to highlight how AI and data tools can drive impact across different parts of the business.

Skills & Experience

• Strong full-stack engineering background, with experience building with AI and LLMs.

• Proven track record of engaging with developers to help them find success with API-based products, and building developer communities.

• Deep user empathy and an understanding of what’s required for a product experience to be great and an appreciation that the details matter.

• Creativity and passion for exploring new ways to connect with and empower developers.

• Ability to write high-quality code, documentation, and how-to content that helps developers find success with technical products.

• Ownership of problems end-to-end, and are willing to pick up whatever knowledge you’re missing to get the job done.

• 5+ years of experience as a software developer and subject matter knowledge of solving data engineering problems at all scales.

• Working knowledge of platforms and tools such as: Huggingface, Llama2, mistral, Pinecone, Weaviate, LlamaIndex, and Langchain.

• Working knowledge of data platforms like Kubernetes, PyTorch, Kafka, Postgres; developer tools like SDKs, APIs, LLMs, and have experience of writing code sample projects, demos, or tutorials for two of these languages: JavaScript, Python, Java, C#, Go, or Ruby

• Familiarity with cloud AI services (AWS SageMaker, Google AI, Azure Machine Learning) and data platforms (Snowflake, Databricks)

• Experience working with open source and SaaS AI models and contributing to open source communities

• Proven experience in a developer advocate role, or similar position where engaging with the developer community is a primary responsibility.

• Demonstrated success in building developer communities and engaging with technical audiences at conferences and events.

• Experience managing, operationalizing, and engaging with developer communities, running user groups, or holding global meetups.

• Solid communicator with experience writing about, teaching, and speaking about complex technical topics.