Senior Technical Program Manager, Machine Learning Infrastructure
WHY THIS ROLE?
As Cohere continues to grow, the size and complexity of our programs has continued increasing over time. To help us manage this, we are looking to bring in exceptional Technical Program Managers (TPM) to manage this!
At Cohere, TPMs are pivotal to our success, being seen as operational experts specializing in cross-functional efforts. Great TPMs at Cohere are well-rounded, executing with precision at the tactical level, while partnering with senior leaders and shaping the big picture at a strategic level, and the opportunities are endless in growing the scale and impact of their work. Cohere’s TPMs are often described by their stakeholders as organized, execution-oriented, pragmatic, and adaptable to the needs of the company and the programs they lead.
As a reward for the depth and breadth of expertize that you bring to the table, you will get to work alongside some of the most talented engineers in the world on building cutting edge AI technology. No day will be the same as the one before, and the dynamic high growth environment will be absolutely perfect for anyone excited about solving novel problems, bringing structure to oftentimes chaotic and fast-paced environments, and ambitious about scaling their own impact and growth alongside the company!
Please note: While we are remote-first and accept candidates from all over the world, we are strongly prioritizing hiring for candidates in the Eastern Time (ET) timezone.
AS A TECHNICAL PROGRAM MANAGER FOR MACHINE LEARNING INFRASTRUCTURE, YOU WILL:
- 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.
YOU MAY BE A GOOD FIT IF YOU HAVE:
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. We need an EPM who is pragmatic, can roll up their sleeves when needed, and can function at the tactical and strategic level to do whatever it takes to make Cohere’s models succeed
- (optional, but strongly preferred) Have technical experience in a hands-on capacity. We don’t necessarily need someone who has been working hands-on in a technical role, but the programs are inherently extremely technical. You need to dive into the depths of internal systems, and develop a reputation as a subject matter expert who brings in engineering best practices and the right amount of structure to continuously improve the program
(optional, but preferred) Experience working with ML teams, and a working understanding of how machine learning models are built in order to advocate for both the needs of the infrastructure teams and modeling teams in building scalable, highly performant ML infrastructure.
Compensation:
Cohere is committed to fair and transparent pay practices. The salary range listed for this role reflects the expected base compensation. Actual compensation offered will be determined by factors such as location, level, job-related knowledge, skills, education, and experience.
For candidates in the US, the Compensation Range is: $140,000 – $290,000 [USD]
For candidates in Canada, the Compensation Range is: $160,000 – $325,000 [CAD]