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VP of AI – Product and Engineering
| Company | Rocket Lawyer |
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| Location | Arizona, USA |
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| Salary | $240000 – $300000 |
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| Type | Full-Time |
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| Degrees | Master’s, PhD |
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| Experience Level | Expert or higher |
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Requirements
- 10+ years of experience in technology, with a strong foundation in AI/ML and product development.
- Proven experience launching and scaling LLM-driven products or platforms.
- Previous experience as a software engineer and demonstrated ability to engage in architectural and infrastructure decisions.
- Strong background in product leadership with clear examples of business impact.
- Advanced technical education: MS or PhD in Computer Science, Machine Learning, or a related field.
- Strong understanding of NLP, generative AI, RAG, prompt design, and AI evaluation methods.
- Strategic thinking and business acumen, including experience defining KPIs, pricing models, and product adoption strategies.
- Excellent communication and collaboration skills across technical and non-technical audiences.
Responsibilities
- Define and drive the product and engineering roadmap for Rocket Copilot and the AI business unit.
- Lead cross-functional teams of AI/ML/Data/Software/QA engineers, product managers, and designers to deliver impactful AI-first experiences.
- Develop and execute Rocket Lawyer’s AI strategy, including LLM fine-tuning, RAG pipelines, prompt engineering, and in-house model development.
- Translate business goals into product features and AI use cases that deliver measurable user and revenue impact.
- Guide the evaluation, integration, or development of foundational models and infrastructure across GCP and open-source ecosystems.
- Build and lead a high-performing, diverse organization that blends deep technical excellence with strategic product thinking.
- Drive innovation in generative AI for legal workflows, document automation, and decision support.
- Maintain a deep understanding of user needs through research, data, and experimentation.
- Ensure AI systems meet standards of security, reliability, explainability, and regulatory compliance.
- Serve as a cross-functional partner to Legal, Product, GTM, and Executive teams to ensure AI efforts are integrated and aligned.
Preferred Qualifications
- Experience with AI model deployment in production environments (e.g., LangChain, Pinecone, OpenAI, Cohere, Anthropic, Mistral).
- Experience working in legal tech, B2B SaaS, or other regulated industries.
- Familiarity with privacy-preserving AI, enterprise compliance, and responsible AI governance.
- Contributions to research, patents, or open-source AI communities.
