Become a Key Player as a VP of Engineering

You will lead and scale the engineering organization to deliver AI-powered products and a reusable technology platform that drives commercial adoption. You will partner with executive leadership, product, data, and customers to translate business and customer needs into technical roadmaps and production-ready capabilities. This is a hands-on leadership role where you will balance strategy and day-to-day engineering work.

Here's How You'll Make an Impact on the Team

• Own the engineering strategy, technical roadmap, architecture, and product delivery capabilities.
• Translate business priorities and customer requirements into clear engineering plans and executable initiatives.
• Lead products from discovery and POC through MVP, customer validation, production deployment, and scaling.
• Stay hands-on with architecture, code review, prototyping, debugging, and performance improvements.
• Design and develop APIs, backend services, data pipelines, AI workflows, and cloud infrastructure.
• Build and deploy generative AI, RAG, semantic search, AI-agent capabilities, and platform AI services.
• Establish engineering practices: code review, automated testing, CI/CD, release management, observability, incident response, and production support.
• Recruit, develop, and retain a high-performing engineering organization and define team structure, roles, and career paths.
• Implement security, compliance, and scalability practices for enterprise and regulated environments.

Here's What You'll Need to Be Successful in This Role

• Significant experience leading software engineering organizations (VP/Head/Director/founding engineer) in startup or growth-stage product companies.
• Proven track record taking software and AI products from concept to production and commercial adoption.
• Strong hands-on software engineering background; ability to engage in architecture, code, APIs, data systems, and infrastructure.
• Experience recruiting and scaling engineering teams and implementing development and operational best practices.
• Strong understanding of cloud architecture, distributed systems, data platforms, security, DevOps, and SaaS product development.
• Excellent communication skills and ability to work across engineering, product, commercial stakeholders, and executive leadership.

Here's What Else Might Help You Out

• Proficiency with Python and modern backend frameworks.
• Experience building REST APIs, microservices, data pipelines, event-driven systems, and distributed applications.
• Experience with generative AI, large language models, RAG, vector search, prompt engineering, and model evaluation.
• Familiarity with AWS services, PostgreSQL, Redis, OpenSearch, Snowflake, Databricks, vector databases, Docker, Kubernetes, Terraform, and CI/CD tools.
• Familiarity with enterprise security and compliance frameworks such as SOC 2, ISO 27001, HIPAA, or GDPR.

Ready to Make Your Mark?

This role may fill quickly. Submit your resume to be considered.

Apply with Pioneers here