About the role

Technical Program Manager managing ML infrastructure projects at Cohere. Collaborating cross-functionally and leading program execution for scalable AI technologies.

Responsibilities

Manage the program portfolio covering inference, efficiency, serving, and endpoints to guarantee that Cohere’s infrastructure continues to scale for a rapidly expanding user base of internal and external users
Lead the end-to-end coordination and execution across the program, with a particular focus on cross-functional collaboration with Modeling and customer-facing teams
Identify pain points and establish processes to ensure that the team can focus on development, while meeting needs of internal and external users of the models, and improving engineering best practices
Build a strong culture around continuous improvement, such as liaising with incident management leads, ensuring that problems are accurately root caused, and that required fixes are provided in a timely manner
Manage various overlapping projects and programs, ruthlessly prioritizing asks, to ensure that the company’s top priorities are met
Collaborate with stakeholders across the company to set, track, and manage timelines, deliverables, budgets, and scope to ensure successful program execution
Deliver clear, timely, and consistent updates across engineering, leadership, and non–technical teams on the progress, plans, and incidents
Act as a strong tactical and strategic partner to the senior leads across your program, whether that be providing low-level tactical support or help answer high-level strategic problems that drives impact at the company-level.

5+ years of Technical Program Management experience focusing on Machine Learning Infrastructure, specifically covering areas such as model inference, serving, efficiency, and endpoints design & implementation
In-depth technical knowledge around ML infrastructure design and implementation, as well as engineering best practices, supporting a balance of velocity and structure in rapidly growing organizations
Experience working in a chaotic, fast paced, low structure environment.
(optional, but strongly preferred) Have technical experience in a hands-on capacity.
(optional, but preferred) Experience working with ML teams, and a working understanding of how machine learning models are built.

A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
Full health and dental benefits, including a separate budget for mental health.
RRSP matching, 401K, Pension Scheme.
100% Parental Leave top-up for up to 6 months, for either parent.
Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
6 weeks of paid vacation (30 working days!)
Budget for traveling to other offices if you are remote, plus an annual company offsite.