
Head of AI/ML – VC Backed Startups
Posted Aug 5

Posted Aug 5
This is a fully remote position, open to applicants in United States.
• Define and implement the AI and machine learning strategy of the company, ensuring alignment with product and business priorities.
• Build, lead, and nurture teams in the areas of machine learning, applied AI, data science, and research.
• Identify high-impact AI opportunities and transform them into unique product features.
• Oversee the development, evaluation, deployment, and continuous enhancement of production ML systems.
• Set technical standards for model quality, experimentation, reliability, observability, and responsible AI practices.
• Guide decisions on model selection, fine-tuning, retrieval, data strategy, infrastructure, and whether to build or buy solutions.
• Collaborate with engineering and product leaders to incorporate AI into scalable customer-facing products.
• Manage data collection, labeling, governance, and feedback mechanisms.
• Assess emerging models, research, and tools for their value to customers and the business.
• Communicate the AI strategy, capabilities, limitations, and investment priorities to executives, boards, customers, and partners.
• Assist in recruiting, organizational design, and workforce planning for AI and ML functions.
• Implement safeguards for privacy, security, bias, explainability, and regulatory compliance.
• Submit an application to become part of SignalFire’s Talent Ecosystem.
• Participate in ongoing application review and potential alignment with SignalFire portfolio companies.
• Over 10 years of experience in machine learning, artificial intelligence, data science, or software engineering, including notable leadership roles.
• Demonstrated experience in building and scaling AI/ML teams within startup or fast-growing technology environments.
• Proven track record in developing and deploying machine learning systems in production settings.
• Strong technical expertise in modern ML methodologies, model evaluation, data pipelines, and production infrastructure.
• Experience utilizing large language models, generative AI, deep learning, or traditional machine learning in real-world applications.
• Capability to connect technical investments to product differentiation, customer outcomes, and business value.
• Experience collaborating with product, engineering, data, and go-to-market leaders.
• Sound judgment regarding model quality, latency, cost, scalability, safety, and reliability.
• Ability to navigate between hands-on technical leadership, team management, and executive-level strategy.
• An advanced degree in computer science, machine learning, statistics, mathematics, or a related field is preferred but not mandatory.
• Required application materials include full name, email, LinkedIn URL, resume/CV, and current or preferred working location.
• PDF format is preferred for the resume/CV submission.
• Equity is available for future roles, as indicated by the compensation range of "$250K – $300K • Offers Equity."
• Opportunity for visibility into exclusive early-stage ventures within SignalFire’s portfolio.
• Profile will be retained for consideration for future AI and machine learning leadership positions.
• Chance to receive newsletters, insights, or invitations to community events, pending consent for communications.
• Option to request updates or removal of personal information from records.
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