Head of AI/ML (Director/VP) - VC Backed Startups
About The Position
Join SignalFire’s Talent Network for Head of AI/ML (Director/VP) Roles at VC-Backed Startups. This is not an application for a specific job, but a way to get on the radar of VC-backed startups that are actively hiring AI and machine learning leaders. SignalFire partners with top early-stage startups shaping the future of technology across various sectors. We are looking to connect with exceptional Heads of AI/ML, including Director- and VP-level leaders, who are passionate about defining AI strategy, building high-performing teams, and translating emerging technologies into differentiated products and business outcomes. By joining SignalFire’s Talent Network, your profile will be shared with our portfolio companies, providing visibility into exclusive early-stage opportunities.
Requirements
- 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 across 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 closely with product, engineering, data, and go-to-market leaders.
- Strong judgment around model quality, latency, cost, scalability, safety, and reliability.
- Ability to operate effectively across hands-on technical leadership, team management, and executive-level strategy.
Nice To Haves
- Advanced degree in computer science, machine learning, statistics, mathematics, or a related field may be preferred but is not always required.
Responsibilities
- Define and execute the company’s AI and machine learning strategy in alignment with product and business priorities.
- Build, lead, and develop high-performing teams across machine learning, applied AI, data science, and research.
- Identify high-impact opportunities to apply AI and translate them into differentiated product capabilities.
- Lead the development, evaluation, deployment, and continuous improvement of production ML systems.
- Establish technical standards for model quality, experimentation, reliability, observability, and responsible AI.
- Guide decisions across model selection, fine-tuning, retrieval, data strategy, infrastructure, and build-versus-buy tradeoffs.
- Partner with engineering and product leaders to integrate AI capabilities into scalable customer-facing products.
- Oversee data collection, labeling, governance, and feedback loops required to improve model performance.
- Evaluate emerging models, research, and tooling while maintaining a practical focus on customer and business value.
- Communicate AI strategy, capabilities, limitations, and investment priorities to executive teams, boards, customers, and partners.
- Support recruiting, organizational design, and workforce planning for the company’s AI and ML functions.
- Help establish safeguards around privacy, security, bias, explainability, and regulatory requirements.
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What This Job Offers
Job Type
Full-time
Career Level
Director
