Head of Data (Data Science and Data Engineering)

Location: New York Office or San Francisco Office

Base salary: $300,000–$350,000 USD per year

Company

hirify.global is an AI-powered communications platform combining voice, SMS, WhatsApp, and more than 250 integrations in a unified workspace used by over 24,000 businesses.

What you will do

• Define and execute the end-to-end data strategy across data science, analytics, and data engineering, tied to measurable business impact.
• Lead, mentor, hire, and develop the Data Science and Data Engineering teams, including managers and senior individual contributors.
• Set standards for data quality, governance, and security across both teams.
• Own the data platform architecture, including pipelines, warehousing, orchestration, scalability, and reliability.
• Partner with product, engineering, and GTM teams on feature launches, A/B testing, experimentation, ARR forecasting, customer segmentation, and AI-enhanced sales insights.
• Communicate recommendations to stakeholders at all technical levels, including the executive team, while applying emerging research and technologies to product development.

Requirements

• 10–15 years of experience in data science and data engineering, including 5+ years in people leadership.
• Experience leading leaders and owning teams spanning product and GTM data science and data engineering.
• Track record of setting and executing a multi-year data strategy with executive support and measurable business impact.
• Hands-on understanding of modern data infrastructure, including pipelines, warehousing, orchestration, and cloud data platforms.
• Experience deploying ML or AI systems to production at scale.
• Technical credibility across data science and data engineering, with grounding in statistics, machine learning, and causal inference.
• Working proficiency in SQL and Python.
• Ability to communicate data concepts clearly and concisely to executives and cross-functional partners.

Nice to have

• B.S., M.S., or PhD in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or another quantitative field.
• Knowledge of NLP, LLMs, or Bayesian testing.
• Coachable, resilient, solution-oriented, action-oriented, and comfortable with challenging problems.
• Prior startup experience.

Culture & Benefits

• Fast-learning, entrepreneurial environment with a strong team spirit.
• Work-life balance and a focus on employee well-being.
• Multicultural environment with 45+ nationalities.
• Competitive salary package and benefits.
• Commitment to diversity, equity, inclusion, belonging, and equal development opportunities.