You believe the most impactful data science comes from teams that are close to the problem — and you're energized by building those high-performing teams. At Expel, you'll lead a data science team doing R&D that shapes how we use machine learning, generative AI, and LLMs to protect our customers and make our humans better at their jobs. You'll work at the intersection of cutting-edge AI and real-world security operations, with access to unique data sets and a team that genuinely cares about doing it right.
You're comfortable talking technical depth with researchers and translating tradeoffs for product and business stakeholders. You coach people on their careers as naturally as you debate model architectures. You set clear expectations, remove blockers, and let your team do their best work — and you see enabling your team as the core of the role.
What Expel can do for you
- Give you an environment where people, process, and purpose actually matter — not just as values on a wall
- Connect you with cross-functional collaborators (PM, UX, D&R, Security, Engineering) who are genuinely invested in building great things together
- Let you work on hard, meaningful problems — using AI to help defenders win
- Offer unlimited PTO (that leadership models and encourages), up to 24 weeks of parental leave, and really excellent health benefits
- Support your professional growth with a conference benefit and continuous learning opportunities
- Offer work location flexibility, including remote from your home office
What you can do for Expel
Lead the team
- Guide the data science team to work on small-to-medium scale, high-impact R&D projects — iterating fast, communicating status clearly, and coordinating delivery with stakeholders
- Coach and develop your team through regular 1:1s, performance reviews, and career conversations; recruit and onboard new members with an eye toward team dynamics
- Foster a culture of responsible AI, innovation, and technical excellence
Shape the strategy
- Work closely with PM, UX, D&R, Security, and Engineering to contribute to product strategy, set delivery expectations, and engage in collaborative discussion about tradeoffs
- Collaborate with peer teams to define Expel's generative AI and LLM strategy — identifying opportunities to leverage foundation models, new architectures, and agentic workflows
- Engage in resource planning, technical decision making, and budget management in service of the product and technical roadmaps
Drive execution
- Define clear, measurable milestones for research initiatives; monitor progress with data-driven metrics; communicate regularly with senior leadership
- Contribute to and maintain responsible AI practices including model fairness, explainability, safety guardrails, and bias monitoring for production ML and LLM systems
- Contribute to non-critical-path feature implementation, bug fixing, and technical design (no more than 25% of your time)
Build Expel's external voice
- Partner with Marketing to develop blogs, papers, and talks on how Expel thinks about, applies, measures, and validates the use of ML, generative AI, and LLMs
- Present internally and externally to both technical and non-technical audiences
What you should bring with you
Leadership & collaboration
- Proven track record leading and managing data science teams (4+ years), with strong coaching and mentoring skills
- Ability to build trust quickly and sustain strong relationships with PM, Customer Success, and engineering peers
- Excellent project management, problem solving, and multitasking skills across remote/hybrid teams
- You align with our Engineering Principles
Technical depth
- Strong hands-on experience designing, deploying, and scaling ML solutions in AWS and/or GCP
- Extensive Python experience, including transitioning exploratory models from Jupyter into production-ready code
- Proficiency in Python data science frameworks (e.g., TensorFlow, PyTorch, Pandas, Scikit-Learn); expert-level depth in at least one area
- Hands-on experience with generative AI and LLM frameworks such as LangChain, LlamaIndex, or the OpenAI/Anthropic SDKs
- Experience with RAG pipelines, prompt engineering, and LLM evaluation
- Familiarity with MLOps platforms (Vertex AI, SageMaker, or MLflow) and vector databases (Pinecone, Weaviate, pgvector)
- Experience building or overseeing agentic AI workflows and multi-agent orchestration, ideally within AWS using Amazon Bedrock and AgentCore
- Solid software engineering practices: Git, CI/CD, code review, testable code
Education
- Educational background in AI, machine learning, statistics, and/or graph theory; Bachelor's degree in Math or Computer Science preferred or a compelling story
- 6+ years of professional data science experience, including 4+ years in a team leadership role
Additional Notes
The base salary range for this role is a base salary between $151,000 USD and $219,000 USD + bonus eligibility and equity.
We believe in paying transparently and equitably. Your salary will ultimately be based on factors such as your experience, skills, team equity, and market data. You’ll also be eligible for unlimited PTO (which we model and encourage), work location flexibility, up to 24 weeks of parental leave, and really excellent health benefits.
We're an Equal Opportunity Employer: You'll receive consideration for employment without regard to race, sex, age, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.
We're only hiring those authorized to work in the United States.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
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