Engineering Program Manager, Cohere
Data
Enterprise-grade AI solutions for real-world business problems
Job no longer available
Enterprise-grade AI solutions for real-world business problems
501-1000 employees
Job no longer available
501-1000 employees
Company mission
To empower businesses to scale innovation, boost productivity, and drive progress that reaches everyone.
Role
Who you are
- Proactive - their partners, stakeholders, and colleagues would describe them as someone who you don’t need to ping twice to get answers!
- Passionate about data and machine learning, with a particular interest in foundation models & generative models
- Comfortable collaborating with stakeholders, partners, and customers at all levels of seniority, and not afraid to hold them accountable
- Detail-oriented, extremely organized, and have a generally optimistic attitude towards making things better
- Excited to get their hands dirty and solve technical & non-technical problems & improve operations/processes at all levels of the organization
- Independent in the way they organize their work, priorities, reporting etc., but not afraid to ask for help when they get stuck
- 2-5 years of experience with project management, possessing the skills to structure, track and handle on-time work streams across multiple teams
- 2-3 years of experience leading cross-functional teams in delivering large-scale ML/Data programs
- In-depth understanding of the Data domain - you should have an understanding stemming from hands on experience on e.g. how models learn from data, how models are evaluated, how data quality assurance works at scale, data engineering best practices etc
- Ability to use data and metrics to extract insights, back up or challenge assumptions, make recommendations, prioritize work and drive actions
- Self-motivated, independent, and proactive with a bias for action; demonstrated creative and critical thinking capabilities; can quickly (real-time) triage, prioritize, and lead cross- functional teams under pressure
- Experienced with NLP and passionate about working on cutting-edge technology within NLP; bonus points if you have experience also working with other modalities (audio, images etc.)
- Bonus points for experience in any of the following: Data Annotation (especially RLHF), Data Acquisition, Data - Engineering, Data Tooling, ML-assisted Labeling, AI Safety
- Bonus points for having experience of owning and managing large budgets
What the job involves
- As a Data Engineering Program Manager, you will have a unique opportunity and responsibility to lead large-scale, cross-functional data programs, such as end-to-end evaluation of our foundation models, that are mission-critical for Cohere to succeed
- Data is at the heart of LLM development — your job is to ensure that the modeling teams get the data they need! This will involve working across all of our Data teams working on Data Acquisition, Data Annotation, Data Evaluation, Data Engineering, and Annotation Tooling
- Additionally, you’ll get to partner collaborate with teams all over the company, have significant impact on a fast-growing product, and contribute to the company culture
- Communicate with technical and non-technical stakeholders across Product, Engineering, Annotation, Design, and other teams, providing clear and timely updates, proactively flagging questions and concerns, and driving alignment wherever required
- Create and manage project schedules with clear dependencies, critical path and systematic methodology. Manage risks and mitigations, and re-plan as events warrant. Find ways to simplify reporting and asynchronous status updates for complex programs touching on numerous teams for stakeholder visibility
- Actively contribute to an Engineering culture that balances fast execution with a high bar for craftsmanship, emphasizing industry best practices and scientific rigor, while building processes that enable teams to move faster and more sustainably over time
- Dive deep into the problems and pain points of the Data teams and their partners. Find innovative ways to solve those problems, and help the teams implement those solutions
- Develop a role within the Data organization as a trusted leader in operational excellence, becoming the go-to person for ICs & Managers looking to kick-off new projects or programs
- Proactively identify ways to improve the way the Data organization operates, particularly focusing on implementing solutions that work at scale within a rapidly growing business unit
Our take
Many businesses are now faced with the challenge of adopting advanced AI safely and securely. While AI tools like ChatGPT are making headlines, companies (especially those in regulated industries such as banking, telecoms, or government services) worry about privacy, compliance, and control over their sensitive data. Cohere addresses these concerns by offering AI solutions that can be trained on a company's internal data and, importantly, run on their own infrastructure rather than relying on external cloud providers. And in a world where data breaches and regulatory scrutiny are constant threats, this focus on trust and security is key.
In a competitive landscape, dominated by giants like OpenAI, Google, and Elon Musk;'s xAI, Cohere is setting itself apart by targeting businesses exclusively. Its approach has earned it contracts with some big names, like Royal Bank of Canada, Fujitsu, LG, Oracle, and Dell. By focusing on reliability and enterprise adoption rather than viral consumer appeal, Cohere has carved out a strong niche for itself.
This isn't going unnoticed either, as the company recently raised $500M, boosting its valuation to $6.8B, and brought on board top talent from MEta and Uber to strengthen its leadership team. Alongside this, its doubled its annual recurring reveneu to $100M in 2025 and is aiming to hit $200M by year-end. With its North platform for AI agents and a lean cost structure compared with larger rivals, Cohere is very much ready for more growth.
Steph
Company Specialist at Welcome to the Jungle
Insights
192% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
Sep 2025
$100m
LATE VC
Aug 2025
$500m
LATE VC
Total funding: $1.5bn
Company benefits
- Six weeks’ paid vacation
- Equity / stock options
- RRSP, 401(k), and Pension Scheme contributions
- Coverage for 100% of your insurance premiums across health, dental, vision, and travel
- Additional coverage for accessing mental health providers/services
- Six months of fully paid parental leave, including adoption and surrogacy
- Financial support for egg freezing and IVF in Canada and the UK
- A monthly fitness and wellness allowance
- Globally dispersed company that supports a remote work culture
- A $2,000 annual education benefit for professional development
- A weekly stipend for meals when working remotely and catered lunch when working from one of our global offices
- A monthly arts and culture allowance
- A monthly quality time allowance
Company HQ
Grange Park, Toronto, ON
Leadership
Aidan Gomez
(Co-Founder & CEO)Aidan received a PhD in Computer Science from the University of Oxford in 2024 and has served as Cohere's CEO since co-founding the company in 2019.
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