Manager, Data Science

Accountabilities

In this role, you will be responsible for leading a data science team while shaping AI strategy and driving execution of high-impact machine learning initiatives.

• Lead and mentor a data science team focused on R&D projects in machine learning, generative AI, and LLM applications

• Manage team delivery, ensuring clear milestones, fast iteration cycles, and effective communication with stakeholders

• Conduct regular coaching, performance reviews, and career development discussions to grow team capability

• Collaborate with product, engineering, UX, and security teams to define strategy and align technical tradeoffs

• Contribute to the organization’s generative AI and LLM roadmap, including foundation models, agentic workflows, and advanced architectures

• Oversee responsible AI practices including fairness, explainability, safety, and bias monitoring in production systems

• Support planning activities such as resource allocation, technical decision-making, and roadmap prioritization

• Contribute up to a limited portion of hands-on technical work including design input, debugging, and feature support

Requirements

The ideal candidate combines strong leadership experience with deep technical expertise in data science, machine learning, and modern AI systems.

• 6+ years of professional experience in data science, including at least 4 years in a leadership or team management role

• Proven experience managing and developing high-performing data science or ML teams

• Strong hands-on expertise in Python and data science frameworks such as PyTorch, TensorFlow, Pandas, or Scikit-learn

• Experience designing, deploying, and scaling ML solutions in cloud environments (AWS or GCP)

• Practical experience with generative AI and LLM ecosystems, including tools like LangChain, LlamaIndex, OpenAI, or Anthropic APIs

• Knowledge of RAG pipelines, prompt engineering, and LLM evaluation methodologies

• Familiarity with MLOps tools such as MLflow, SageMaker, or Vertex AI and vector databases like Pinecone, Weaviate, or pgvector

• Experience building or overseeing agentic AI systems and multi-agent workflows

• Strong communication skills with ability to engage both technical and non-technical stakeholders

• Background in computer science, mathematics, statistics, or related fields preferred

Benefits

• Competitive base salary ranging from $151,000 to $219,000 USD, plus bonus eligibility and equity

• Flexible remote work arrangement within the United States

• Unlimited paid time off with leadership actively encouraging its use

• Up to 24 weeks of parental leave

• Comprehensive medical, dental, and vision insurance coverage

• Strong focus on professional development, conferences, and continuous learning opportunities

• Collaborative, mission-driven environment focused on meaningful AI applications in cybersecurity

• Inclusive workplace with strong commitment to diversity, equity, and accessibility

How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether?

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