Lead high-stakes consulting engagements and complex software projects.
Make immediate project contributions and build trusted client relationships.
Lead architecture, software design, and technology decision discussions.
Collaborate across the full ML lifecycle, from data ingestion and preprocessing through deployment and monitoring.
Maintain prioritized, estimated team backlogs and manage high-level project roadmaps.
Identify, mitigate, and resolve blockers, risks, and technical concerns involving scalability, security, reliability, and performance.
Provide client status updates, evaluate risks, and present potential solutions.
Facilitate retrospectives, document outcomes, and drive action items.
Mentor colleagues, share knowledge, lead workshops, and support hiring or technology-community activities.
Balance technical considerations with product and user needs while generating solutions with clients and team members.
Requirements:
7+ years of repeated success across software development projects.
Experience leading consulting engagements from discovery through production.
Production-quality programming experience with languages or frameworks such as Java, C#/.NET, Python, TypeScript, JavaScript, React, Go, Ruby, Scala, R, or SQL.
Experience building or integrating AI/ML-powered features, such as recommendation engines, NLP, computer vision, or predictive analytics.
Experience using AI-assisted development tools for scaffolding, refactoring, debugging, test generation, and documentation.
Experience with automated testing, debugging, refactoring, Git, macOS/Linux, and CI/CD.
Ability to address architecture concerns including scalability, security, reliability, and performance.
Strong stakeholder communication, collaboration, feedback, decision-making, and mentoring abilities.
Experience with MLOps, LangChain, data engineering, Databricks, DevOps/DevSecOps, or Infrastructure as Code preferred.
Benefits:
Remote-first work across the United States, Canada, and United Kingdom, with coworking support.
Flexible PTO.
12 weeks of new parent leave for eligible employees.
Unlimited access to books, courses, and expert-led training through O'Reilly.
Annual financial stipend and dedicated time for learning and development.
Salary range of $126,279–$184,068 USD, depending on geographic structure.
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