
11 - 50 employees
Founded 2012
🏥 Healthcare
💼 Consulting
📦 Logistics
Healthcare • Consulting • Logistics
SignalFire is a venture capital firm built on technology and data, dedicated to supporting growth for early-stage companies through advanced AI tools and seasoned sector expertise. They focus on providing unparalleled support to their portfolio companies, combining in-house AI capabilities with tailored advisory programs across multiple sectors such as healthcare, fintech, cybersecurity, and more.
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11 - 50 employees
Founded 2012
🏥 Healthcare
💼 Consulting
📦 Logistics
Healthcare • Consulting • Logistics
SignalFire is a venture capital firm built on technology and data, dedicated to supporting growth for early-stage companies through advanced AI tools and seasoned sector expertise. They focus on providing unparalleled support to their portfolio companies, combining in-house AI capabilities with tailored advisory programs across multiple sectors such as healthcare, fintech, cybersecurity, and more.
• Define and execute company AI and machine learning strategy aligned with product and business priorities • Build, lead, and develop teams across machine learning, applied AI, data science, and research • Identify high-impact AI opportunities and translate them into differentiated product capabilities • Lead development, evaluation, deployment, and continuous improvement of production ML systems • Establish technical standards for model quality, experimentation, reliability, observability, and responsible AI • Guide model selection, fine-tuning, retrieval, data strategy, infrastructure, and build-versus-buy decisions • Partner with engineering and product leaders to integrate AI into scalable customer-facing products • Oversee data collection, labeling, governance, and feedback loops • Evaluate emerging models, research, and tooling for customer and business value • Communicate AI strategy, capabilities, limitations, and investment priorities to executives, boards, customers, and partners • Support recruiting, organizational design, and workforce planning for AI and ML functions • Establish safeguards for privacy, security, bias, explainability, and regulatory requirements • Submit an application to join SignalFire’s Talent Ecosystem • Undergo ongoing application review and potential matching with SignalFire portfolio companies
• 10+ years of experience across machine learning, artificial intelligence, data science, or software engineering, including meaningful leadership experience • Proven experience building and scaling AI/ML teams in startup or high-growth technology environments • Track record of developing and deploying machine learning systems into production • Strong technical foundation in modern ML methods, model evaluation, data pipelines, and production infrastructure • Experience applying large language models, generative AI, deep learning, or traditional machine learning to real-world products • Ability to connect technical investments to product differentiation, customer outcomes, and business value • Experience partnering with product, engineering, data, and go-to-market leaders • Strong judgment around model quality, latency, cost, scalability, safety, and reliability • Ability to operate across hands-on technical leadership, team management, and executive-level strategy • Advanced degree in computer science, machine learning, statistics, mathematics, or a related field may be preferred but is not always required • Required application materials include full name, email, LinkedIn URL, resume/CV, and current or preferred working location • PDF format preferred for resume/CV
• Equity is offered for eventual roles, as indicated by "$250K – $300K • Offers Equity" • Potential visibility into exclusive early-stage opportunities across SignalFire’s portfolio • Profile kept on file for future AI and machine learning leadership roles • Opportunity to receive newsletters, insights, or invitations to community events, subject to communications consent • Ability to request updating or removing personal information from records
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