Glasswing Ventures · 2 months ago
AI Automation Lead
Glasswing Ventures is a venture capital firm focused on enterprise and security through AI and Frontier Technology. The AI Automation Lead will bridge the gap between investment strategy and applied AI development, responsible for designing and implementing automation systems and AI-enabled tools to support the investment process.
Artificial Intelligence (AI)ConstructionConsumer GoodsEnterpriseEnterprise SoftwareManufacturingQuantum ComputingSecuritySoftwareSupply Chain Management
Responsibilities
Partner with the investment team and operations staff to identify repetitive, manual, or insight-driven workflows that can be automated or enhanced using AI
Identify the most promising areas for predictive modeling
Translate business objectives such as sourcing, research, and diligence into clear technical specifications
Prioritize projects based on ROI, feasibility, and strategic value to the firm
Develop machine learning models that extract signals from both structured and unstructured data to help predict successful investments
Collect, aggregate & clean data from disparate public and private databases and continuously improve predictive performance
Develop AI agents that can conduct and summarize research and assist in preparing internal reports or memos
Build, maintain, and scale automation workflows using n8n, LLM APIs, and integrations with systems including our CRM, Notion, Slack, and internal data sources
Manage API connections, prompt engineering, and data transformations required to make workflows reliable and useful
Rapidly prototype new tools such as investment research bots, portfolio dashboards, and internal chat assistants
Collect feedback from team members to refine outputs, user experience, and workflow design
Set up data science pipeline to train and test predictive ML models
Create lightweight internal documentation and training materials
Maintain the security and privacy of the firm’s confidential data
Act as the primary liaison between the investment team and technical contributors such as DevOps engineers
Work with DevOps engineers to ensure secure and scalable deployment of automation tools on AWS
Communicate progress, risks, and opportunities clearly to firm leadership
Help establish technical standards and a roadmap for future AI initiatives
Qualification
Required
3 to 7 years of experience in software engineering, machine learning and data science, or applied AI
Good knowledge of core ML and deep learning algorithms and experience with libraries such as Scikit-learn, TensorFlow, and Keras
Strong Python skills, preferably in the context of ML and data science
Experience with experimental practice and hypothesis testing
Hands-on experience with workflow automation tools such as n8n, Zapier, LangChain, or similar frameworks
Familiarity with large language model APIs such as OpenAI or Anthropic and experience with prompt design
Strong JavaScript skills for building integrations and automation logic
Proven ability to translate business problems into structured technical solutions
Excellent communication and documentation skills
Preferred
Experience in or familiarity with venture capital, private equity, or finance environments
Knowledge of data infrastructure concepts including APIs, REST, webhooks, and vector databases
Product-oriented mindset with the ability to iterate quickly, gather feedback, and improve workflows based on real-world use
Comfortable working in a small, dynamic team with minimal hierarchy
Company
Glasswing Ventures
Glasswing Ventures invests in early-stage startups applying AI and frontier technology to the enterprise and cybersecurity markets.
H1B Sponsorship
Glasswing Ventures has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2022 (1)
Funding
Current Stage
Early StageRecent News
Sourcery
2025-11-21
2025-11-19
2025-11-12
Company data provided by crunchbase