Senior Machine Learning Engineering Manager, EvenUp

• Proven success building and managing high-performing ML or Data Science teams, ideally from scratch in fast-paced, startup-like environments
• Deep domain expertise in machine learning, NLP, LLMs, and generative AI, with hands-on experience taking systems to production
• Excellent cross-functional communication and leadership skills, with a strong record of partnering closely with Product and Engineering
• Experience and comfort with ML engineering languages and frameworks—Python, PyTorch (or similar), and modern LLM/generative AI tooling
• A true builder’s mentality: ready to launch, scale, and shape a new technical domain within a rapidly growing company
• Experience in industries such as SaaS, fintech, big tech, or startups, with roles such as Senior Engineering Manager (ML), Director/Head of ML, or Senior Applied Scientist Manager
• 3+ years of experience directly leading and managing a machine learning or data science team, and at least 5+ years of hands-on professional experience in machine learning engineering or related fields
• Deep hands-on expertise in machine learning, NLP, LLMs, and generative AI, with a successful record of deploying production ML systems
• Strong experience with Python and major ML/NLP frameworks (such as PyTorch, TensorFlow, Hugging Face, or similar)
• Demonstrated ability to build teams and functions from scratch, lead roadmap development, and drive execution in fast-paced, ambiguous environments
• Experience working in a high-growth startup environment
• Excellent cross-functional communication and leadership skills, with a track record of partnering closely with Product and Engineering stakeholders

Desirable

• Join EvenUp as our Senior Machine Learning Engineering Manager and build the future of personal injury law technology
• This is a unique opportunity to create and lead a brand-new Machine Learning and Generative AI function, focusing on high-visibility, high-impact generative AI products that are core to our customer experience and business growth
• You'll partner closely with Product and Engineering leaders to shape our strategy and technology roadmap, own the most critical GenAI-driven product areas including Document Generation, Knowledge Bases, Agentic Systems, and drive real product outcomes from the ground up
• In this high-priority, business-critical role, you won’t just lead—you’ll be empowered to hire, create, and scale a top-tier ML team, deliver rapid product wins early, and set a vision for how ML will shape both our customer impact and company success
• The right leader will see their work translate to tangible product launches, a strong ML foundation, and a direct influence on the success of an ambitious, fast-growing company
• Build and lead a new Machine Learning team; drive hiring, mentoring, vision, and culture from day one
• Design and execute a clear roadmap across Document Generation (primary), Voice Agents, and agent-based Knowledge Base systems
• Provide hands-on technical leadership in LLMs, ML, and GenAI, setting best practices and engineering standards for the function
• Collaborate cross-functionally with Product and Engineering to align priorities, unblock teams, and ensure delivery of impactful solutions
• Deliver visible product impact fast, with clear successes in the first 90 days—especially within Document Generation—and scale the team to a robust, autonomous ML function within the first year