VP of Engineering

Overview

On Site
$181000 - $250000 per annum
Full Time

Skills

VP of Engineering

Job Details



Job Title: VP of Engineering
Location: Remote (U.S. Time Zones Preferred)
Compensation: $250,000 base salary + equity
Company Stage: Series C Startup




We're looking for a VP of Engineering to lead our technical team at the forefront of machine learning innovation. This is a high-impact leadership role for someone who thrives in fast-moving environments, is deeply technical, and is excited to build systems, teams, and strategy from the ground up.



What You'll Do




  • Define and scale the engineering org structure, hiring plan, and career development frameworks




  • Own and drive technical strategy, system architecture, and long-term scalability of our ML platform




  • Lead by example-you'll be hands-on when needed, and always available as a mentor and technical guide




  • Champion engineering excellence in coding standards, model reliability, testing, and observability




  • Establish robust MLOps practices-from CI/CD pipelines to real-time model monitoring and governance




  • Collaborate cross-functionally with product, research, and business leadership to align technical decisions with company goals




  • Foster a high-performing, inclusive, and async-first engineering culture





Our Tech Stack




  • Languages: Python (LangChain, PyTorch, TensorFlow, FastAPI), TypeScript




  • LLM & AI Tools: LangGraph, LlamaIndex, Transformers, OpenCV, HuggingFace, scikit-learn




  • Infra & MLOps: AWS, Google Cloud Platform, Kubernetes, Docker, Terraform, CI/CD (GitHub Actions, Argo)




  • Databases: PostgreSQL, Redis, Neo4j




  • Monitoring & Observability: Prometheus, Grafana, Weights & Biases, Sentry





What We're Looking For




  • 8+ years of experience in engineering, with at least 3+ years in a leadership capacity (Director/VP level)




  • Proven track record of building and scaling ML infrastructure and engineering teams (10+ engineers ideally)




  • Hands-on experience deploying ML/AI systems at scale, with strong Python and system design expertise




  • Familiarity with LLMs, agentic AI, RAG pipelines, and MLOps tooling




  • Experience in venture-backed startups or other high-growth, fast-paced environments




  • Excellent communication and collaboration skills across technical and non-technical team.





Oscar Associates Limited (US) is acting as an Employment Agency in relation to this vacancy.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.