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Forward Deployed Engineer, Infrastructure Specialist (North America)
Deploy high-performance generative models and semantic search tools into enterprise workflows with privacy-focused infrastructure and multilingual support.
Benefits:
Weekly lunch stipend, in-office lunches & snacks
Full health and dental benefits
100% Parental Leave top-up for up to 6 months
Personal enrichment benefits
6 weeks of vacation (30 working days!)
Experience Requirements:
Experience working directly with customers
Experience deploying enterprise software in private/hybrid cloud environments
Experience administering production Kubernetes clusters and expertise with Helm
Familiarity with DevOps practices, CI/CD pipelines, and tools like Git
Strong expertise in cloud infrastructure (Azure, AWS, GCP), networking, and virtualization
Responsibilities:
Lead end-to-end deployment of North in private cloud and on-premises environments
Partner with enterprise IT teams to assess infrastructure and security
Experiment at a high velocity and with a high level of quality
Design and implement deployment strategies tailored to client needs
Troubleshoot and resolve deployment-related technical issues
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Forward Deployed Engineer, Prompt Specialist
Deploy high-performance generative models and semantic search tools into enterprise workflows with privacy-focused infrastructure and multilingual support.
Benefits:
Weekly lunch stipend, in-office lunches & snacks
Full health and dental benefits
100% Parental Leave top-up for up to 6 months
Personal enrichment benefits
6 weeks of vacation (30 working days!)
Education Requirements:
Background in analytics, NLP, or related fields
Experience Requirements:
Track record of deploying LLM-powered agents in production environments
0–5 years of professional experience
Comfortable operating at the intersection of software engineering and machine learning
Responsibilities:
Review, refine, and iterate on prompts for Cohere’s Command model
Collaborate with clients to refine custom tools and conduct evaluations
Contribute to defining and shaping core agents for out-of-the-box deployment
Design and build tailored agents that deliver measurable improvements
Partner directly with customers to define and track key metrics
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Senior/Staff Backend Engineer
Deploy high-performance generative models and semantic search tools into enterprise workflows with privacy-focused infrastructure and multilingual support.
Benefits:
Weekly lunch stipend, in-office lunches & snacks
Full health and dental benefits
100% Parental Leave top-up for up to 6 months
Personal enrichment benefits
6 weeks of vacation (30 working days!)
Experience Requirements:
Shipped (lots of) Python in production
Built and deployed extremely performant RAG/agentic applications to millions of users
Strong coding abilities and comfortable working across the stack
Worked in both large enterprises and startups
Excel in fast-paced environments
Responsibilities:
Build and ship features for North, our AI workspace platform
Develop autonomous agents that talk to sensitive enterprise data
Write and ship minimal code that runs in low-resource environments
Re-invent the wheel for security and privacy requirements
Collaborate with researchers to productionize state-of-the-art models
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Senior/Staff Full-Stack Engineer
Deploy high-performance generative models and semantic search tools into enterprise workflows with privacy-focused infrastructure and multilingual support.
Benefits:
Weekly lunch stipend, in-office lunches & snacks
Full health and dental benefits
100% Parental Leave top-up for up to 6 months
Personal enrichment benefits
6 weeks of vacation (30 working days!)
Experience Requirements:
Shipped (lots of) fullstack code (Python and React) in production
Built and deployed extremely performant RAG/agentic applications to millions of users
Worked in both large enterprises and startups
Strong coding abilities and comfortable working across the stack
Excel in fast-paced environments
Other Requirements:
Bonus: Portfolio, GitHub or other showcases of your projects
Responsibilities:
Build and ship features for North, our AI workspace platform
Develop autonomous agents that talk to sensitive enterprise data
Write and ship minimal code that runs in low-resource environments
Re-invent the wheel for security and privacy requirements
Collaborate with researchers to productionize state-of-the-art models
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Senior Enterprise Account Executive, Canada
Unify your revenue stack and automate the entire go-to-market funnel with intelligent AI agents for prospecting, outreach, and closing for sales and growth teams.
Benefits:
Access to BetterUp coaching
Medical, dental, and vision insurance
Flexible paid time off
AI Learning and Development stipend
Volunteer Days
Experience Requirements:
Minimum 8 years sales experience
5+ years full-cycle direct Enterprise sales experience
Experience leading and closing $1M+ deals
Success in selling to CxOs
Proficiency using Salesforce
Other Requirements:
Willing to travel up to 50%
High emotional intelligence (EQ)
Process driven and meticulously organized
Responsibilities:
Prospecting and Business Development
Consultative Selling to C-level stakeholders
Relationship Building with executives and influencers
Solution Presentation and ROI establishment
Negotiation and deal closing
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Enterprise Account Executive
Unify your revenue stack and automate the entire go-to-market funnel with intelligent AI agents for prospecting, outreach, and closing for sales and growth teams.
Benefits:
Equity
Benefits
Education Requirements:
Relevant education or training
Experience Requirements:
5+ years consultative SaaS selling experience
1+ years experience in fintech
Proven ability to exceed sales targets
Experience with Salesforce and Outreach
Other Requirements:
Strategic negotiator
Go-getter with bias towards action
Energetic and positive attitude
Responsibilities:
Own full sales cycle from discovery to close
Develop relationships with Executives
Update teams with prospect feedback
Contribute to sales playbooks
Partner with Product and Success teams
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Enterprise Account Executive, Cloud Sales (Remote)
Unify your revenue stack and automate the entire go-to-market funnel with intelligent AI agents for prospecting, outreach, and closing for sales and growth teams.
Education Requirements:
Undergraduate degree or equivalent experience
Experience Requirements:
15+ years direct software sales experience
Sales experience in on-premise and cloud software
Experience in retail, e-commerce, or finance
Selling into infrastructure space (OS, JVM, Container)
Experience selling technical products requiring POCs
Other Requirements:
Exceptional communicator and presenter
Proficient in MEDDPICC
Located in Eastern or Central Time Zone
Responsibilities:
Develop and implement sales strategy
Engage existing customers for cross-selling
Manage sales cycle and 3X pipeline
Collaborate with Marketing and Success teams
Drive contract negotiations
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Senior Account Executive
Unify your revenue stack and automate the entire go-to-market funnel with intelligent AI agents for prospecting, outreach, and closing for sales and growth teams.
Benefits:
$2,500 health spending account
$500 wellness spending account
RRSP matching up to 5%
Annual $1,000 professional development budget
Four (4) weeks of vacation
Education Requirements:
Undergraduate degree
Experience Requirements:
At least four years of closing experience
Experience working complex deals with multiple stakeholders
Other Requirements:
Self-directed and resourceful
Comfortable having cerebral conversations
Creative and curious mindset
Responsibilities:
Generate new sales via trust-based relationships
Prospect into territory via conferences and demos
Follow up on inbound web leads
Manage a pipeline from opportunity to closed
Share market feedback to guide marketing team
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Machine Learning Engineer, AI/ML
Win more competitive deals by centralizing market insights and buyer feedback into a single platform that delivers real-time intelligence directly to your sales team.
Benefits:
Klue Enablement Program
DEI education and initiatives
Inclusive workplace culture
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Senior Machine Learning Engineer
Win more competitive deals by centralizing market insights and buyer feedback into a single platform that delivers real-time intelligence directly to your sales team.
Benefits:
Klue Enablement Program
DEI education and initiatives
Inclusive workplace culture
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UI Designer
Win more competitive deals by centralizing market insights and buyer feedback into a single platform that delivers real-time intelligence directly to your sales team.
Benefits:
Klue Enablement Program
DEI education and initiatives
Inclusive workplace culture
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Staff Full Stack Engineer - Rails & React
Accelerate workforce planning and hiring with AI-powered 3D talent data that reveals candidate performance and potential for strategic recruiting teams.
Benefits:
Competitive base salary + performance-based compensation
Unlimited PTO
Generous healthcare coverage for you and your family
Home office and productivity setup stipend
Professional development budget and executive coaching access
Experience Requirements:
8+ years of software development experience
Expert proficiency in Rails and React
Experience with Node.js is preferred
Experience owning projects end-to-end in a startup environment
Quick learner, able to adapt to our codebase quickly
Other Requirements:
Ability to lead ambiguous initiatives and align cross-functional teams
Strong communicator
AI Evangelist leveraging AI development tools daily
Responsibilities:
Design and implement elegant user-centric solutions alongside PMs and designers
Take ownership of ambiguous projects, breaking them into milestones and orchestrating delivery
Work closely with customers to refine features and validate product fit
Write clean, well-tested and maintainable code
Foster an environment of rapid iteration and feedback
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Fullstack Engineering Co-Op
Boost ecommerce conversions by up to 30% with AI-generated lifestyle images, A+ content, and listings optimized for AI search engines like Amazon Rufus.
Benefits:
Opportunities to continue on permanent position after internship
Mentorship from expertise in AI research and software engineering
Access to cloud infrastructure resources
Support to work on cutting-edge technologies
Hybrid work schedule
Experience Requirements:
Hands-on experience in both front-end and back-end web development
Proficiency in Javascript/Typescript, React, Nodejs, Python
Familiarity with AWS technologies (Lambda, DynamoDB, SQS, API Gateway)
Proven ability to take ownership of features from end-to-end
Comfortable learning new tools or technologies as needed
Other Requirements:
Legally eligible to work in Canada
Passion for AI/ML and its applications
Responsibilities:
Create engaging and responsive user interfaces using React and Typescript
Design and develop scalable and high-performance AI applications
Take ownership of new customer-facing features and product experiences
Improve web applications and cloud infrastructure for speed and scalability
Continuously innovate and collaborate in a fast-paced research environment
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Senior Software Engineer – Foundational Data Systems for AI - Canada
Halve storage costs and accelerate query performance on petabyte-scale data lakes with self-optimizing, lossless AI compression for Spark, Snowflake, and Iceberg.
Benefits:
Competitive salary
Meaningful equity
Substantial bonus for top performers
Flexible time off
Comprehensive health coverage
Experience Requirements:
Depth in distributed systems
Experience with columnar formats (Parquet or ORC)
Understanding of metadata-driven architectures
Production experience with Spark or Flink
Proficiency in Java, Rust, Go, or C++
Other Requirements:
Builder’s mindset
Pragmatic and rigorous
Responsibilities:
Architect transactional and metadata substrates
Build autonomous data reorganization systems
Optimize bit-level data organization
Develop distributed compute pipelines
Implement new research algorithms
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Staff Software Engineer – Foundational Data Systems for AI - Canada
Halve storage costs and accelerate query performance on petabyte-scale data lakes with self-optimizing, lossless AI compression for Spark, Snowflake, and Iceberg.
Benefits:
Competitive salary
Meaningful equity
Substantial bonus for top performers
Flexible time off
Comprehensive health coverage
Experience Requirements:
Mastery of distributed systems
Track record of architecting large-scale compute systems
Expertise with columnar formats
Deep production experience with Spark or Flink
Fluency in Java, Rust, Go, or C++
Other Requirements:
Demonstrated leadership
Passion for bridging research and production
Responsibilities:
Define global metadata and transactional substrates
Architect self-optimizing systems for data efficiency
Pioneer approaches to encoding and layout
Lead development of distributed compute platforms
Collaborate on translating research to production
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Agentic AI Analyst
Enhance global customer service with autonomous AI agents that utilize multi-step reasoning and real-time guardrails to ensure compliant, brand-safe interactions.
Education Requirements:
B.Tech
MBA
Experience Requirements:
Overall Experience 4-8 Years experience in Project Management preferably from a consulting organisation
Should have spent at least 3 years for a SaaS based organisation conceptualising, designing and deploying the solution
Other Requirements:
Strong tool experience with JSON, Datadog, Postman, API Integrations
Understand basics of SQL and relational databases
Ability to set up custom fields, workflows, business rules, and automation triggers
Familiarity with authentication methods such as OAuth, JWT, and API tools like Swagger, Zapier
Responsibilities:
Scope out projects and provide effort estimations and timelines
Lead Discovery calls with customers and cross functional team
Partners with CSMs to ensure successful delivery by leading technical project activities
Serves as solution architect on moderate to complex projects
Performs complex configuration, troubleshooting of Netomi’s solution(s)
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Agentic Product Manager
Enhance global customer service with autonomous AI agents that utilize multi-step reasoning and real-time guardrails to ensure compliant, brand-safe interactions.
Experience Requirements:
4–10 years in Solutions Architecture / Implementation Consulting / Product Consulting / Workflow Design for enterprise SaaS or AI platforms
Experience designing complex workflows and integrations across enterprise systems
Other Requirements:
Understanding of REST APIs, event-driven systems, data flows, and enterprise integrations
Customer-facing consulting experience with strong communication & facilitation skills
Experience working cross-functionally with CSM, engineering, product, and QA teams
Responsibilities:
Lead discovery sessions with enterprise customers to understand business processes
Identify automation opportunities and design agentic orchestration strategies
Build detailed solution blueprints — workflows, data exchanges, escalation logic, etc.
Define end-to-end Agentic AI architectures
Work with customer technical teams to map integration dependencies
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Customer Support Escalation Manager - Incident Manager
Enhance global customer service with autonomous AI agents that utilize multi-step reasoning and real-time guardrails to ensure compliant, brand-safe interactions.
Education Requirements:
Bachelor's degree in Business, Computer Science, or a related field
MBA or advanced degree is a plus
Experience Requirements:
12-15 years of demonstrated experience in a high-pressure, customer-facing technical support, strategic account management, or program management role focused specifically on critical issue resolution (P0/P1 incidents)
Other Requirements:
Expert-level proficiency in leveraging monitoring tools (e.g., Datadog, Splunk)
Exceptional executive communication and influencing skills
Proficiency with support systems and tools such as Zendesk, Datadog
Strong technical acumen—comfortable discussing complex API integrations and data flows
Responsibilities:
Act as the single, authoritative point of contact for all P0/Critical customer escalations
Design and deliver status updates to C-level and senior executive audiences
Lead and govern internal war rooms, mobilizing resources across Engineering, Product, and Support
Direct technical teams towards root cause using monitoring tools
Drive rigorous Root Cause Analysis (RCA) processes
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Solution Architect – Agentic Delivery
Enhance global customer service with autonomous AI agents that utilize multi-step reasoning and real-time guardrails to ensure compliant, brand-safe interactions.
Experience Requirements:
8+ years of experience in Solution Architecture, Technical Consulting, or Enterprise Delivery roles
Other Requirements:
Strong experience designing and delivering API-driven enterprise solutions
Deep understanding of REST APIs, webhooks, and auth patterns
Experience integrating with customer support desk / CRM systems
Experience acting as an escalation point for complex technical issues
Responsibilities:
Lead deep solution and architecture discussions with enterprise customers
Translate business requirements into scalable, secure technical architectures
Own technical success during the early delivery lifecycle (0–90 days)
Design and review API-first integrations (REST / GraphQL)
Lead integrations with customer support and contact center platforms
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Product Support Specialist (Life Sciences)
Optimize global innovation and IP management with AI-powered patent drafting, novelty searches, and competitive landscaping to de-risk technical investments.
Benefits:
Five weeks of paid vacation + five sick days
Two company-paid community volunteering days
Health and dental benefits from day one
RRSP matching
Hybrid work environment + WFH stipend
Education Requirements:
Life Sciences (Biology, Chemistry, BSc) education background or industry knowledge
Experience Requirements:
2+ years in a customer-facing role
Other Requirements:
Knowledge of API and SSO is beneficial
Dedication to problem-solving
Agile mindset
Responsibilities:
Answer questions based on a Ticketing system (Zendesk)
Create and manage technical learning documentation for product modules
Create and manage technical documentation for Life Science platforms
Become a 'product champion' with absolute knowledge of tools
Proactively collect, analyse, and share customer feedback
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