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SignalFire

Head of AI/ML – VC Backed Startups

SignalFire

AI/ML leadership talent network connecting Director- and VP-level candidates with SignalFire’s VC-backed startups. Defining strategy, scaling teams, and deploying production AI systems across portfolio companies.

Posted 8/5/2026full-timeRemote • 🇺🇸 United StatesLead💰 $250,000 - $300,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in defining and executing AI and machine learning strategies, leading cross-functional teams, and developing scalable ML systems. Proficient in model evaluation, data governance, and integrating AI into customer-facing products while ensuring compliance with privacy and regulatory standards.

Highest-signal resume keywords
Machine Learning StrategyTeam Leadership in AI/MLModel Evaluation and DeploymentData Governance and Feedback LoopsAdvanced Degree in Computer Science or Related Field

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Machine LearningArtificial IntelligenceData ScienceModel EvaluationData PipelinesGenerative AIDeep LearningProduction InfrastructureLarge Language ModelsTechnical Leadership
Soft Skills
JudgmentCommunicationCollaborationStrategic ThinkingTeam Management
Industry Keywords
AI OpportunitiesProduct DifferentiationCustomer OutcomesHigh-Growth TechnologyStartup EnvironmentPrivacy and SecurityBias and ExplainabilityRegulatory Requirements

About the role

Key responsibilities & impact
  • 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

Requirements

What you’ll need
  • 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

Benefits

Comp & perks
  • 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