PagerDuty is looking to accelerate the development of new and extension of existing products powered by AI and Machine Learning, and to drive the AI First future of PagerDuty.
Requirements
- 7+ years of experience building, designing, and shipping machine learning solutions to production
- Proven software development track record with Python (knowledge of Elixir is a bonus)
- Demonstrated experience with data modeling, database design, extract transform load (ETL) processes, working with unstructured data, and cloud-based data infrastructure
- Experience with workflow management tools such as Apache Airflow and AI/ML observability/evaluations products such as Arize, Datadog, etc
- Familiarity with ML processes (exploration, training, deployment), technologies (services, packages), infrastructure (AWS), ML techniques (e.g., natural language processing, deep learning, generative AI)
- Experience with with pre-trained Large Language Models (LLMs) and AI agents in a production environment
- Familiarity with container orchestration systems (e.g., Kubernetes)
Responsibilities
- Build and improve the capabilities that enable and accelerate our machine learning (ML), generative and agentic AI based products
- Partner with applied scientists and product teams, effectively sharing engineering context and working together to support larger initiatives
- Provide guidance, technical leadership, and mentoring to junior members of the team
- Understand how our products are used and proactively lead the delivery of improvements and enhancements based on customer feedback
- Remain current on the latest ML engineering developments, incorporating new solutions to our existing workflow, continuously improving user experience
- Lead the design and deployment of solutions to host our AI agents, models and services in production, in alignment with our design patterns and best practices to support the business.
Other
- Passionate about collaborating with data scientists, product managers and engineers alike.
- This is a very senior position that requires strong skills in communication, cross team collaboration and technical leadership ability.
- You’ll succeed by being an effective team player, independently managing time, and demonstrating emotional intelligence as you navigate stakeholder relationships championing and scoping our cross-team initiatives.
- Passionate about data/ML engineering and displaying effective communication when conveying technical concepts and collaborating with across teams
- Ability to think through a complex problem, build a solution, and execute that solution with effective change management skills
- Strong sense of ownership and accountability. Ability to design large scale solutions and effectively drive the implementation work across teams and products to solve big customer challenges
- History of presenting technical work at industry conferences, workshops, or meetups, with a demonstrated enthusiasm for sharing knowledge and engaging with the broader MLE community
