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Marketing Chief Of Staff

cohere

Remoto Toronto
Uncategorized

Job Score

90 pts
Remote model (+90)

Who are we?

Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.

We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.

We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.

We are a global technology company co-headquartered in Toronto and San Francisco, with key offices in London, New York City, Montreal, Seoul, Germany and Paris. Join us!

About the role

We're hiring a Marketing Chief of Staff to keep Cohere's marketing org moving at full speed without coming apart at the seams. You'll report to the VP of Brand and work across the whole function: brand, editorial, design, product marketing, demand generation, and integrated marketing.

This is not a strategy-only role, and it isn't a glorified project-management seat either. In any given quarter the org is shipping product launches, field events, partner campaigns, and demand programs in parallel, often across regions and time zones. That pace is the reason the role exists. Your job is to make sure the right work wins when everything feels urgent, that plans turn into shipped work, and that the VP of Brand and the leadership team spend their time leading instead of firefighting.

Be clear-eyed about the shape of the work. A lot of it is operational: the planning calendar, the budget, the headcount plan, the weekly business reviews, the cross-functional handoffs that break when nobody owns them. The grind is the job. You should want that part, not tolerate it.

One boundary worth naming up front. Marketing Ops owns the systems: the MarTech stack, attribution, scoring, routing, data pipelines, and the reporting everyone runs on. You'll be the heaviest consumer of that work, not the owner of it. If you find yourself rebuilding dashboards or running a tooling migration, something has gone wrong. Your seat is the operating rhythm of the org: meetings, priorities, plans, and the decisions that come out of them.

Who you are

You've run operations inside a fast, high-output B2B marketing org, and you've left it running better than you found it. You know the specific failure mode of a team that's shipping a lot and losing the thread, and you know how to pull it back without slowing everyone down.

You understand how marketing actually works, at the level of someone who's done it rather than managed it from a distance. You can talk credibly about how a campaign turns into pipeline, what account-based marketing demands from both sales and marketing before it works, and where demand-gen motions usually break. You don't have to have run every program yourself. You do have to understand them well enough that the people who run them respect your judgment.

You're fluent in the numbers. Pipeline math, funnel conversion, budget-to-impact. You can read a marketing dashboard and tell what's real from what's been dressed up, and you say so. Building the reporting is Marketing Ops' job. Yours is to use it well and push back when it doesn't add up.

You hold strategy and execution in the same hand. You can sit in a planning conversation with the VP in the morning and chase down a stuck deliverable in the afternoon, and you don't think the second thing is beneath you.

You write clearly and you communicate straight. People trust your readouts because they're honest, not because they're polished. When something is off track, you name it early.

You stay calm when it's messy. A marketing org this active will hand you ambiguity every day. Your job is to turn it into a plan other people can actually follow.

What you'll own

Operating rhythm and planning

Run the marketing org's planning cadence: annual and quarterly planning, goal-setting, and the weekly and monthly business reviews. Hold the calendar.

Drive budget and headcount planning against the slate, working from Marketing Ops' tracking and reporting, and keep both honest as priorities shift mid-quarter. You own the trade-off conversations; Marketing Ops owns the numbers underneath them.

Make the reviews worth holding. Drive the prep, the follow-through, and the decisions that should come out of them.

Priorities and cross-functional flow

Turn the VP of Brand's priorities into plans the team can execute, then hold the line on those priorities when new fires start.

Keep major programs from colliding or stalling across brand, editorial, design, product marketing, demand gen, and integrated marketing. A lot of this is seeing the crash coming and preventing it.

Be the person teams come to when it isn't clear who owns a decision.

Connective tissue with the rest of the company

Represent marketing in cross-functional planning with sales, product, and finance, so the org's commitments are realistic and its dependencies are visible. When marketing promises something to another team, you make sure the promise was sane and gets kept.

The systems plumbing behind that (lead routing, scoring, pipeline data) sits with Marketing Ops and RevOps. Your job is the planning and accountability layer on top of it. You'll also chase procurement and legal when purchases and projects stall.

Leadership leverage

Build the materials leadership relies on: board updates, all-hands content, exec readouts. Make them clear and honest, not decorative.

Give the VP of Brand back time and attention by carrying the work that doesn't need to land on their desk.

Special projects

Lead the things that don't fit neatly on any one team's plate: a reorg, a new agency relationship, a flagship event, an org-wide planning week. Own them end to end.

How success will be measured

Planning happens on time and means something. The slate is set, owned, and funded, and people can point to it.

Programs ship on cadence without running into each other. Fewer last-minute scrambles, fewer dropped handoffs.

Leadership gets time back. The VP of Brand spends more of their week on the calls that need them and less on the ones that don't.

Decisions run on the numbers. Reviews and planning work from the org's single source of truth instead of side spreadsheets, and follow-ups actually close.

The org feels coherent. People know what they're working on, why it's the priority, and how it connects to the rest of the company.

What you bring

10+ years of operating experience, with real time inside a marketing org in a Chief of Staff, business operations, or senior program-operations seat.

A practitioner's understanding of demand generation and account-based marketing in a B2B context. You can talk pipeline, not just plans.

Comfort with marketing and pipeline metrics and with running a budget. You can build the model and read the dashboard.

A track record of bringing order to a fast, complex org without grinding it to a halt.

Clear writing, straight talk, and the presence to hold a room of senior people to a plan.

Backgrounds we'd be excited about

Chief of Staff or business operations at a high-growth B2B software or AI company.

A marketing ops or RevOps leader who wants an org-level operating seat rather than a systems seat.

Strategy or management consulting followed by an in-house operating role.

A demand-gen or integrated-marketing operator who has moved into an org-level operating seat.

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 based in the United States, the Compensation Range is : $155,000 – $240,000 USD

For candidates based in Canada, the Compensation Range is : $220,000 – $270,000 CAD

How and Where We Work:

  • Cohere is remote-friendly. We have offices in Toronto, San Francisco, New York City, London, Paris, Montreal, and more coming soon.

  • For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.

  • For those not near an office: a co-working benefit so you can work alongside others in your city.

If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.


We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.

We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.

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Infrastructure and DevOps are responsible for creating, maintaining, and optimizing IT environments that support applications at scale. This area is fundamental for system reliability and performance.

Key technologies include AWS, GCP, Azure, Docker, Kubernetes, Terraform, Ansible, CI/CD (GitHub Actions, GitLab CI, Jenkins), and monitoring (Datadog, Grafana, Prometheus).

DevOps engineers and SREs are highly sought-after professionals, with salaries among the highest in the technology sector.

About Ecommerce Analyst

The Ecommerce Analyst is the professional responsible for analyzing online sales data, buyer behavior, and virtual store performance to guide strategic decisions. They combine data analysis with ecommerce knowledge to optimize conversion, average order value, and return on investment.

Key skills include Google Analytics (GA4), Hotjar, conversion funnel analysis, cohort analysis, customer segmentation, pricing analysis, and ecommerce metrics (CAC, CLV, AOV, conversion rate). Knowledge of SQL, Power BI, Google Tag Manager, and platforms like Shopify and VTEX is a differentiator.

Ecommerce Analysts in technology companies are highly valued, especially those who can turn buyer behavior data into actionable insights to increase revenue and reduce cart abandonment. The field offers opportunities from junior analyst to ecommerce analytics manager.

About Traffic Analyst

The Traffic Analyst (paid media/performance specialist) is the professional responsible for creating, managing, and optimizing sponsored ad campaigns on digital platforms such as Google Ads, Meta Ads, LinkedIn Ads, and TikTok Ads. They monitor conversion metrics, analyze return on investment (ROAS), perform A/B testing on ads and landing pages, and manage the marketing budget to maximize lead generation and qualified sales.

About Data

The Data field has undergone a radical transformation with the rise of Generative AI. Data professionals are fundamental for evidence-based decision-making across all industries.

Key specializations include Data Engineering, Data Science, Business Intelligence, Machine Learning Engineering, and Analytics. Tools like SQL, Python, Spark, dbt, and cloud platforms (AWS, GCP, Azure) are essential.

The data market continues with high demand and salaries among the most competitive in the technology sector, with many remote work opportunities.

About QA and Testing

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Key skills include manual and automated testing, Selenium, Cypress, Playwright, Postman, JMeter, and CI/CD pipeline knowledge. Performance and security testing are differentiators.

With the adoption of DevOps and continuous deployment, the demand for automation QAs and SDETs continues to grow.

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Expert Tip

The 2026 AI Boom: The Most Valuable Tech Careers and How to Land Six-Figure Remote Jobs

We are halfway through 2026, and one thing is crystal clear: the "experimental" phase of Artificial Intelligence is officially over. While 2023 and 2024 were characterized by awe over chatbots drafting emails and generating images, 2026 has solidified AI as the core infrastructure of global enterprises. The transition from standalone "AI tools" to Autonomous Agents and Multi-Agent Systems has radically transformed the job market.

For Tech, Design, and Digital Marketing professionals across the United States, 2026 represents the greatest window of opportunity of the decade to secure top-tier, 100% remote roles with highly lucrative six-figure compensations.

In this article, we will break down the current AI job landscape, backed by recent data, and list the top careers that startups and Fortune 500 companies are desperately trying to fill.

The Current Landscape: 2026 Data and Projections

The market isn't just hiring standard developers anymore; it's hiring intelligence orchestrators. According to recent Future of Work reports:

  • Exponential Growth: The World Economic Forum (WEF) 2026 update highlights that roles focused on AI, Machine Learning, and Big Data have grown by 45% compared to 2024, cementing them as the fastest-growing fields nationwide.
  • Corporate Adoption: Data published by Gartner earlier this year reveals that over 80% of Fortune 500 companies are now running Generative AI applications in production environments. This has created a massive demand for AI maintenance, ethics, and governance.
  • The Remote Premium: An internal analysis from Mondywork's database (which tracks integrations with major ATS platforms like Greenhouse and Ashby) shows that 73% of US-based AI roles are Remote-First. The average salary for senior specialists in these roles currently exceeds the $140,000 to $180,000 annual range, plus equity.

The 5 Hottest AI Opportunities in 2026

If you want to tailor your resume and LinkedIn profile to be easily captured by modern recruiting algorithms, these are the positions with the highest talent deficit in the US market right now:

1. MLOps and LLMOps Engineers (Operations Engineering)

Large Language Models (LLMs) are like Formula 1 engines: they need a full pit crew to avoid crashing on the track. The industry has realized that putting AI into production is vastly different from running a local model.

  • What they do: Manage infrastructure, oversee the model lifecycle, handle fine-tuning with proprietary company data, and ensure the AI does not suffer from large-scale hallucinations.
  • Hot Search Terms: MLOps, LLMOps, Platform Engineering, Data Ops, Kubernetes for AI.

2. Prompt Engineer & AI Interaction Designer

The profession many thought would be a passing fad has heavily evolved. The 2026 Prompt Engineer is not just someone who "talks well to machines"; they are complex logical system designers.

  • What they do: Sitting at the intersection of Software Engineering and UX Design, these professionals design system prompts for Autonomous Agents, build RAG (Retrieval-Augmented Generation) flows, and structure how AI safely interacts with end-users.
  • Hot Search Terms: Prompt Engineering, NLP, AI Behavior Design, UX Writer for AI.

3. Analytics Engineer / Structured Data Specialist

AI is completely useless without clean data. The classic Data Scientist role has yielded massive ground to the Analytics Engineer, the professional who bridges the gap between raw data engineering and business analysis.

  • What they do: Prepare, model, and transform chaotic data lakes into crystal-clear sources so enterprise AI models can consume data and generate real-time insights.
  • Hot Search Terms: Analytics Engineer, dbt, Snowflake, Computer Vision, BigQuery.

4. AI Product Manager (AI PM)

Companies are tired of building AI features "just because." Now, they need these features to drive serious revenue (ROI). The AI-focused Product Manager is the conductor of this orchestra.

  • What they do: Understand the technical limitations of modern LLMs, translate user pain points into viable AI solutions, and manage the product roadmap while ensuring the technology complies with strict privacy laws (like CCPA and GDPR).
  • Hot Search Terms: AI Product Manager, CPO, Product Ops, AI Governance.

5. AI Growth Marketer / High-Performance Media Buyer

In the digital marketing realm, 2026 is the year of autonomous campaign orchestration. Marketers still relying on 100% manual campaign creation are rapidly losing ground to those who can direct predictive AI.

  • What they do: Leverage Machine Learning and advanced AI tools for autonomous Conversion Rate Optimization (CRO), automated A/B testing, mass content generation, and predictive consumer behavior analysis.
  • Hot Search Terms: Growth Marketing, Media Buyer, Programmatic, AI Copywriting, Martech.

How to Prepare and Get Found (Beating the ATS Filters)

US companies utilize incredibly rigorous Applicant Tracking Systems (ATS) like Workday, Greenhouse, and Lever. They configure recruiting bots to filter resumes using fine-mesh keyword grids.

If you want to land these highly competitive roles, the golden rule is to mirror the exact industry jargon:

  • Don't just write "Data Analyst"; use "Data Ops" or "Analytics Engineer".
  • Don't just list "Cloud Support"; highlight "FinOps", "Cloud Architect", or "Platform Engineer".
  • Replace the outdated "Digital Marketer" with "Growth Ops" or "Performance Manager".

Mondywork Does the Heavy Lifting for You

The US market is fiercely competing for top-tier talent. Startups and tech giants are looking for highly skilled professionals ready to collaborate across different time zones in fully remote environments. That is exactly why Mondywork exists. Our proprietary algorithm scans the largest global Job Boards to find verified, high-paying, and 100% remote Tech, Design, and Marketing opportunities.

Don't miss the chance to ride the biggest technological revolution of our generation.

👉 Subscribe now to Mondywork's Job Alerts


Macroeconomic Reference Sources:

  • World Economic Forum - The Future of Jobs Report 2026 Update.
  • Gartner - Hype Cycle for Artificial Intelligence, 2026.
  • McKinsey Global Institute - The Economic Potential of Generative AI (Revisited 2026).