Cohere

Engineering Manager, FDE Agentic Platform

CohereYesterday
Location

Middle East

Workplace

Remote

Type

Full Time

Salary

USD 160,000 – 220,000

Level

Manager

Role

Engineering Manager

Posted

Jul 24, 2026

Full TimeRemoteManager

The role

Summary

Lead and mentor a Forward Deployed Engineers team in the Middle East, driving agentic AI solutions for enterprise clients at Cohere. This hands-on Engineering Manager role requires deep technical expertise in enterprise AI deployment, combined with strong leadership capabilities to scale agent development across secure, on-premises environments in sectors like finance, healthcare, and telecommunications. You'll balance strategic team leadership with direct contribution to customer success and technical implementation while collaborating with Product, Engineering, and Sales to shape how enterprise AI reaches critical infrastructure.

What you'll do

Team Leadership and Mentorship: Lead and mentor a team of Forward Deployed Engineers focused on building and deploying agentic solutions with Cohere's North platform in on-premises enterprise environments. Foster a culture of technical excellence, continuous improvement, and innovation across the deployment engineering team.
Customer Success Ownership: Take full ownership of customer success from initial technical implementation through final delivery and ongoing support. Build and maintain relationships with technical stakeholders on the customer side, ensuring seamless integration of AI solutions into critical business processes.
Cross-functional Collaboration: Collaborate closely with Product, Engineering, and Sales teams to shape how Cohere delivers enterprise AI solutions. Act as a technical liaison translating complex AI concepts for both technical and business audiences to align organizational goals around agentic deployment.
Process Definition and Scaling: Define, implement, and optimize processes that scale agent development and deployment across multiple client environments. Design operational frameworks that enable consistent, secure, and efficient delivery of agentic solutions while maintaining compliance with enterprise security standards.
Enterprise Solution Architecture: Provide hands-on technical direction for deploying enterprise AI infrastructure at scale, particularly for agentic applications in regulated sectors like finance, healthcare, and telecommunications. Guide the team in solving complex technical challenges related to secure AI integration.

What we look for

Technical

Enterprise Software ArchitectureDemonstrated expertise building and deploying enterprise software systems at scale with deep understanding of on-premises deployment models, distributed systems, and enterprise integration patterns.
Agentic AI SystemsHands-on experience architecting, building, and deploying agentic AI applications and solutions, including agent orchestration, autonomous workflow design, and multi-agent system coordination.
Cloud and Infrastructure TechnologiesStrong proficiency with cloud platforms (AWS, Azure, GCP) and/or on-premises infrastructure management, containerization (Docker, Kubernetes), and deployment automation tools.
Enterprise Security and ComplianceUnderstanding of enterprise security frameworks, data governance, compliance requirements (SOC2, HIPAA, PCI-DSS), and secure AI deployment practices for regulated industries.

Education

Computer Science or Related FieldBachelor's degree in Computer Science, Computer Engineering, or related field, or equivalent practical experience demonstrating strong foundational computer science knowledge.
Advanced Technical KnowledgeStrong understanding of distributed systems, machine learning fundamentals, and enterprise software architecture demonstrated through professional experience or continuous technical learning.

Experience

Software Engineering LeadershipMinimum 5+ years of hands-on software engineering experience with demonstrated track record of technical leadership, mentoring engineers, and driving technical decisions in fast-paced environments.
Team Management in High-Growth EnvironmentsProven experience managing engineering teams in fast-paced, high-growth environments, with ability to scale teams, build strong team culture, and maintain technical excellence during rapid expansion.
Enterprise AI DeploymentDirect experience implementing AI/ML solutions for enterprise customers at scale, with focus on production deployment, customer integration, and managing complex technical implementations.
Customer-Facing Technical EngagementExperience working directly with enterprise customers on technical implementations, understanding customer needs, translating business requirements into technical solutions, and driving customer satisfaction.

Skills

Required skills

Team Leadership and MentoringProven ability to build, mentor, and scale engineering teams; develop team members; set clear technical direction; and foster a culture of excellence and continuous learning.
Hands-On Technical ExpertiseStrong software engineering fundamentals with ability to dive deep into technical challenges, review code, and contribute directly to technical solutions when needed.
Enterprise Solution ArchitectureAbility to design and oversee the deployment of complex enterprise systems, understanding trade-offs between scalability, security, reliability, and cost optimization.
Executive CommunicationExcellent English communication skills with ability to effectively translate complex technical concepts for both engineering teams and business stakeholders, including C-suite executives.
Problem-Solving and AgencyHigh level of initiative and autonomy; comfort operating with ambiguity; ability to identify problems, propose solutions, and execute with minimal permission or oversight.
Customer-Centric ThinkingStrong orientation toward customer success; ability to understand enterprise customer needs and constraints; commitment to delivering reliable, secure solutions.

Nice to have

Arabic Language FluencyFluency in Arabic language, enabling direct communication with Middle Eastern customer stakeholders and team members, enhancing relationship building and cultural alignment.
AI/ML Infrastructure ExpertiseDeep experience with AI/ML infrastructure, model deployment platforms, vector databases, prompt engineering frameworks, and optimization techniques for large language models.
Regulated Industry ExperienceBackground working in or with regulated industries such as finance, healthcare, or telecommunications; familiarity with compliance requirements and security-first development practices.
Forward Deployed Engineering BackgroundExperience in field engineering, customer engineering, or similar customer-facing technical roles that require direct engagement with enterprise clients on implementation challenges.
Product-Engineering CollaborationTrack record of effectively collaborating between product and engineering organizations to shape technical roadmaps and deliver customer-focused solutions.

Compensation & benefits

Salary

USD 160,000 – 220,000 (annual)

Stock options

Available

Benefits

Health and Dental Coverage

Comprehensive full health and dental benefits with separate dedicated budget for mental health support and wellness services.

Retirement Savings Programs

RRSP matching for Canadian employees, 401(k) for US employees, and Pension Scheme for UK employees, enabling retirement security across global offices.

Exceptional Parental Leave

100% parental leave top-up for up to 6 months for either parent, supporting family planning and work-life integration.

Extended Paid Time Off

6 weeks of paid vacation (30 working days annually), providing substantial time for rest, travel, and personal pursuits.

Professional Development and Learning

Annual education and learning stipend covering conferences, professional courses, coaching, and certifications for continuous skill development.

Enrichment Benefits

Annual enrichment budget for arts and culture, fitness and wellness programs, quality time experiences, and workspace improvement credits.

Weekly Lunch Stipend

Weekly lunch stipend of $75/£75 or equivalent in local currency to support nutrition and team building during work days.

Home Office Setup

One-time $500 home office stipend to properly equip your remote workspace with ergonomic and technical essentials.

Remote Work Infrastructure

Co-working space benefits for remote employees, plus travel budget to visit other Cohere offices and attend annual company offsite events.

Interview process

  1. 1
    Initial Screening — Review of application materials and initial screening conversation with recruiter to assess background, experience with enterprise AI, and management philosophy. AI-enabled tools may be used to help identify qualified candidates.
  2. 2
    Technical Leadership Discussion — In-depth conversation with hiring manager covering technical expertise in enterprise software deployment, experience managing engineering teams, and approach to scaling agentic AI solutions.
  3. 3
    Technical Assessment — Technical deep-dive with team members to assess hands-on engineering capabilities, problem-solving approach, and understanding of agentic AI systems and enterprise deployment challenges.
  4. 4
    Leadership and Cultural Fit Interview — Conversation with senior leadership focusing on team building philosophy, customer engagement approach, cross-functional collaboration style, and alignment with Cohere's mission-driven culture.
  5. 5
    Customer Reference or Portfolio Review — Discussion of previous customer implementations, enterprise deployments, or portfolio of projects demonstrating impact in scaling AI solutions and managing complex technical initiatives.
  6. 6
    Final Executive Round — Conversation with executive leadership to assess strategic thinking, vision for the team and region, and long-term growth opportunities within Cohere.
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Cohere

Cohere

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Cohere is a leading enterprise AI company focused on building powerful large language models (LLMs) and tools for businesses. The company's mission is to empower enterprises to integrate cutting-edge AI capabilities into their products and operations, making AI accessible and practical for real-world applications. Cohere offers a range of APIs that allow developers and organizations to harness generative AI for tasks such as text generation, summarization, intelligent search, and conversation. They operate within the rapidly expanding artificial intelligence software market, serving a diverse global clientele.

Toronto, CanadaFounded 2019cohere.com

Tech Stack

Languages
PythonTypeScript/JavaScript
Frameworks
Cohere's North PlatformLangChainFastAPI
Databases
Vector Databases (Pinecone, Weaviate, Milvus)PostgreSQL
Tools
KubernetesDockerGit/GitHubCI/CD Pipelines (GitHub Actions, GitLab CI)
Other
Large Language Models (LLMs)Enterprise Security FrameworksAgentic AI Patterns
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