PagerDuty empowers teams of all kinds to do the critical work that moves business forward through the PagerDuty Operations Cloud.
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Amid a rapidly evolving tech landscape, our AI group is boldly redefining the future of operations.
We are on the hunt for a formidable Staff Machine Learning (ML) Engineer who is not only adept at architecting state-of-the-art AI initiatives but who is also ready to mentor and inspire a team composed of Machine Learning, Data Scientists, and Software Engineers.
In this role, you will actively contribute to and lead AI-first innovation across our customers' Operations powered by ML and Agentic AI solutions. You will be instrumental in developing groundbreaking proofs of concept, contributing to our AI strategy, and pushing the boundaries of what's possible—all while addressing critical short and long-term team goals.
In a world where customer adoption of new technologies is uncertain and competition is fierce, we need Staff Engineering leaders who thrive under pressure, are capable of operating at different levels of altitude, and pave the way for a future where our products not only meet but exceed the aspirations of our existing and future customers.
Key Responsibilities:
- Build and improve the capabilities of the data platform that enable and accelerate the production of ML/AI-based solutions
- Drive and define standards for AI/ML across the organization.
- Provide guidance, technical leadership, and mentoring to other members of the team
- Mentor junior members and participate in scaling up the existing team
- Proactively recommend improvements and new approaches addressing potential systemic pain points and technical debt
- Anticipate technical demands on the data platform based on the organization’s roadmap and systematically drive the evolution of the architecture toward those ends
- Develop a long-term plan for ML/AI investments
Minimum Requirements:
- You have 8+ years of experience building, designing, and evolving data architecture for large-scale systems
- Excellent communication skills
- Experience working with Product teams, ensuring and driving a timely delivery
- Have a deep understanding of the trade-offs to be considered when designing and delivering machine learning solutions to production
- Experience leading cross-team architecture discussions, building technical prototypes, and driving the adoption of best practices across diverse teams
- Demonstrated experience with data engineering processes, working with unstructured data and cloud-based data infrastructures
- Passionate about ML engineering and interested in driving discussions with stakeholders and executives
Preferred Requirements:
- Desire to keep learning new concepts and adapt to the start-of-the-art
- Experience shipping reliable and scalable AI/ML products
- Prior experience in a SaaS environment
- Awareness of and experience with ML processes (exploration, training, testing, deployment, monitoring), technologies (services, packages), and ML Operations
- Experience not only developing POC’s / new products, but developing products that customers are adopting and using at large scale
- A strong record of published work in technical forums, contributions to open source projects, or research innovations.
The base salary range for this position is 156,000 - 232,000 CAD. This role may also be eligible for bonus, commission, equity, and/or benefits.
Our base salary ranges are determined by role, level, and location. The range, which is subject to change based on primary work location, reflects the minimum and maximum base salary we expect to pay newly hired employees for the position. Within the range, we determine pay for an individual based on a number of factors including market location, job-related knowledge, skills/competencies and experience.
Your recruiter can share more about the specific offerings for this role, as well as the salary range for your primary work location during the hiring process.
This role is expected to come into our Toronto office 1 day/month so you can thrive in your new role and fully embrace being a Dutonian!
Not sure if you qualify?
Apply anyway! We extend opportunities to a broad array of candidates, including those with diverse workplace experiences and backgrounds. Whether you're new to the corporate world, returning to work after a gap in employment, or simply looking to take the next step in your career path, we are excited to connect with you.
Where we work
PagerDuty currently has offices in Atlanta, Lisbon, London, San Francisco, Santiago, Sydney, Tokyo, and Toronto. We offer a hybrid, flexible workplace. We also provide ample opportunities for in-person and virtual connection, like team offsites and volunteering events.
How we work
Our values are deeply embedded in how we operate and the people we bring on board. You will see our values ingrained in how we support our customers, collaborate with our colleagues, develop our products and foster an inclusive and empathetic work culture.
- Champion the Customer | Put users first to design great products and experiences.
- Run Together | Build strong teams that amplify our impact on users.
- Take the Lead | Disrupt and invent to be the first choice for users.
- Ack + Own | Take ownership and action to deliver more efficiently to users.
- Bring Your Self | Bring your best self to build empathy and trust with users.
What we offer
One way we ensure our employees are inspired to do their best is through a comprehensive total rewards approach that supports them and their loved ones. As a global organization, our programs are competitive with industry standards and aligned with local laws and regulations. Learn more, including country-specific offerings, on our benefits site.
Your package may include:
- Competitive salary
- Comprehensive benefits package from day one
- Flexible work arrangements
- Generous paid vacation time
- Paid holidays and sick leave
- Dutonian Wellness Days - scheduled company-wide paid days off in addition to PTO
- Company equity*
- ESPP (Employee Stock Purchase Program)*
- Retirement or pension plan*
- Paid parental leave - up to 22 weeks for pregnant parent, up to 12 weeks for non-pregnant parent (some countries have longer leave standards and we comply with local laws)*
- HibernationDuty - an annual company paid week off when everyone at PagerDuty, with the exception of a small, coverage crew, is asked to take a much needed break to truly disconnect and recharge
- Paid volunteer time off - 20 hours per year
- Company-wide hack weeks
- Mental wellness programs
*Eligibility may vary by role, region, and tenure
About PagerDuty
PagerDuty, Inc. (NYSE:PD) is a global leader in digital operations management. The PagerDuty Operations Cloud revolutionizes how critical work gets done, and powers the agility that drives digital transformation. Customers rely on the PagerDuty Operations Cloud to compress costs, accelerate productivity, win revenue, sustain seamless digital experiences, and earn customer trust. More than half of the Fortune 500 and more than two thirds of the Fortune 100 trust PagerDuty including Cisco, Cox Automotive, DoorDash, Electronic Arts, Genentech, Shopify, Zoom and more.
Led by CEO Jennifer Tejada, PagerDuty’s Board of Directors is 50% female and 62% URP representation. We strive to build a more equitable world by investing 1% each of company equity, product, and employee volunteer time.
PagerDuty is Great Place to Work-certified™, a Fortune Best Workplace for Millennials, a Fortune Best Medium Workplace, a Fortune Best Workplace in Technology, and a top rated product on TrustRadius and G2.
Go behind-the-scenes on our careers site and @pagerduty on Instagram.
Additional Information
PagerDuty is committed to creating a diverse environment and is an equal opportunity employer. PagerDuty does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, parental status, veteran status, or disability status.
PagerDuty is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. Should you require accommodation, please email [email protected] and we will work with you to meet your accessibility needs.
PagerDuty uses the E-Verify employment verification program.
