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Full-Stack Developer
Qualify leads, schedule meetings, and execute high-volume phone campaigns with AI agents that automate outbound and inbound calls to boost pipeline efficiency.
Responsibilities:
Making human-level language AI part of everyday life through next-gen generalization-focused language research
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UX Designer
Qualify leads, schedule meetings, and execute high-volume phone campaigns with AI agents that automate outbound and inbound calls to boost pipeline efficiency.
Responsibilities:
Making human-level language AI part of everyday life through next-gen generalization-focused language research
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Director, Customer Success
Ensure TCPA and DNC compliance while boosting sales performance with AI-driven conversation intelligence, real-time agent guidance, and automated call screening.
Experience Requirements:
5+ years in a customer success leadership role with a proven track record of retaining and growing customers in an enterprise software company.
Experience in a compliance or regulatory industry is an advantage.
Proven ability to manage teams.
History of improving processes, methodologies, or framework to improve overall team performance.
Experience communicating with C-level to individual contributors.
Other Requirements:
Excellent communication skills (written and verbal)
Proven self-starter and able to come up to speed on complex difficult concepts with ease
Ability to translate complex concepts into easy-to-understand trainings and documentation
Exceptional work ethic, with strong values and principles
Detail-oriented: able to notice the little things that make a big difference
A self-motivated person who can work under stress and meet deadlines
A positive attitude and open mind that approaches problems from all angles
Responsibilities:
Manage and mentor a team of Customer Success Managers (CSMs), focusing on skills such as client management and negotiations.
Drive adoption of tools and processes and ensure consistent use of internal tools across the team.
Develop programs to drive customer retention, satisfaction, adoption, and expansion.
Own renewal and churn management strategies to minimize attrition.
Identify and own upsell and cross-sell opportunities across the customer base.
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Strategic Account Executive
Ensure TCPA and DNC compliance while boosting sales performance with AI-driven conversation intelligence, real-time agent guidance, and automated call screening.
Education Requirements:
Bachelor’s degree or equivalent related experience
Experience Requirements:
7+ years of proven direct software sales success.
Demonstrated ability to hunt for new-logo enterprise customers with strong desire to WIN.
Track record of consistently meeting and exceeding revenue quotas.
Ability to engage prospects through both inbound and outbound phone calls.
Demonstrated ability to navigate the sales cycle from start to finish.
Other Requirements:
Exceptional writing and communication skills
Strong work ethic and commitment
Positive, team-oriented attitude
Familiarity with Salesforce.com is a plus
Responsibilities:
Achieve and exceed designated sales goals.
Build individual pipeline and opportunities through daily outbound sales activity.
Consult prospects on Gryphon AI best practices and trends to provide meaningful recommendations.
Collaborate cross-functionally with Marketing and Product teams to optimize company sales efforts.
Professionally represent the Gryphon AI brand, vision, and values always.
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Solutions Engineer (Pre Sales)
Optimize enterprise workflows and ensure compliance with AI-driven document categorization and data extraction for construction, manufacturing, and healthcare.
Benefits:
Opportunity to learn machine learning and AI
Experience in large-scale migration projects
Variety of jobs and flexibility between roles
Opportunity to work with high-profile companies like Google and Veolia
Growth in domain expertise and technical skills
Education Requirements:
BS/BA Degree in Business Studies, Computer Science, Information Systems, Engineering, or equivalent experience
Master Degree in computer science (Nice to Have)
Experience Requirements:
5+ years of technical sales position (Solutions Engineer, System Engineering, etc.)
Previous experience in working with US-based companies in the US market
Experience responding to RFIs/RFPs and competitive situations
Experience with Enterprise Content Management software (Nice to Have)
Proven success at other startup software companies (Nice to Have)
Other Requirements:
Problem-solving and creative skills
Ability to understand the enterprise IT ecosystem
Excellent communication skills (writing, listening, phone)
Team player capable of working in a fast-paced startup
Experience with Google Cloud, AWS, or Azure (Nice to Have)
Responsibilities:
Qualify customer requirements with US sales teams
Build demonstration and Proof of Concept (POC) environments
Deliver demonstration workshops and manage POCs
Build commercial proposals and answer RFPs
Contribute to solution implementation after closing
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Associate Product Marketing Manager
Boost sales effectiveness and reduce onboarding time by training with life-like AI personas that provide instant feedback on discovery calls and objections.
Benefits:
Best-in-class AI platform
Impact at scale
High-growth environment
Remote-first flexibility
Travel for client meetings and events
Experience Requirements:
2-3 years of product marketing experience, ideally in SaaS
Proven track record of successful product launches and go-to-market strategies
Experience creating marketing collateral and enablement tools for sales teams
Other Requirements:
Outstanding written and verbal communication skills
Witty sense of humor
Strong analytical capabilities and data-driven decision-making
Excellent project management and organizational skills
Analytical thinker with a proactive, problem-solving mindset
Responsibilities:
Translate product features into clear messaging and collaborate on launch rollouts
Turn product updates, customer stories, and data into compelling, shareable content
Draft newsletters, product update emails, and engagement campaigns
Execute enablement materials with Sales, Product, and Support
Represent Second Nature at key customer events and conferences (10-15% travel)
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Agentic Implementation Manager
Build and deploy custom AI agents for customer support and process automation using a visual studio, autonomous engine, and extensive third-party integrations.
Other Requirements:
Comfortable commuting to the Downtown Montreal office
Legally authorized to work in Canada
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Advertising Sales Manager
Scale your social media presence in minutes with AI-powered content creation, smart scheduling, and video repurposing tailored to your unique brand voice.
Benefits:
8 benefits
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Senior Ad Sales Manager
Scale your social media presence in minutes with AI-powered content creation, smart scheduling, and video repurposing tailored to your unique brand voice.
Benefits:
8 benefits
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GTM recruiter
Automate complex customer service workflows and reduce operational costs by up to 60% with an agentic AI platform that deploys autonomous, multi-modal agents.
Benefits:
Collaborative, innovative, and inclusive culture
Competitive compensation and benefits
Opportunities for global exposure and career advancement
Flexible work environment
Work with a global leader in Conversational AI
Experience Requirements:
4-8 years of experience in recruiting
Strong focus on GTM roles (Sales, Marketing, Customer Success, and Partnerships)
Proven track record of hiring in US and/or international markets
Expertise in sourcing passive candidates and building diverse talent pipelines
Other Requirements:
Strong interpersonal and communication skills
Familiarity with Applicant Tracking Systems (ATS) and recruitment tools like LinkedIn Recruiter
Ability to adapt to changing priorities and thrive in an agile environment
Responsibilities:
Manage the full-cycle recruitment process for GTM roles
Identify and engage top talent through various channels
Partner with hiring managers and leadership teams to understand hiring needs
Deliver an exceptional candidate experience
Stay updated on global hiring trends and compensation benchmarks
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Security Engineer
Automate complex customer service workflows and reduce operational costs by up to 60% with an agentic AI platform that deploys autonomous, multi-modal agents.
Education Requirements:
Relevant coursework or certifications (e.g., CEH, OSCP, CRTP, CompTIA Security+)
Experience Requirements:
1+ Years of experience in Information Security
Familiarity with vulnerability assessment and penetration testing (VAPT) tools
Basic experience with scripting languages (e.g., Python, Bash) for automation tasks
Knowledge of security practices for AI/ML, including model vulnerability and data privacy for LLMs
Other Requirements:
Experience or participation in bug bounty programs or Capture the Flag (CTF) competitions
Responsibilities:
Assist in monitoring and analyzing security alerts and incidents
Conduct basic VAPT and report findings to the security team
Research and stay updated on the latest cybersecurity threats and tools
Collaborate with cross-functional teams to support security audits
Document incident response procedures and other critical processes
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Customer Success Associate
Launch your startup with a high-impact, AI-curated domain name that ensures immediate credibility and brand alignment through a secure, expert-vetted marketplace.
Benefits:
Competitive salary
Hybrid work schedule (3 days in-office per week)
Clear growth path into Customer Success, Operations, or Account Management
Supportive and collaborative team environment
Health insurance
Experience Requirements:
2–3 years of experience in a customer service, support, or client-facing role
Familiarity with customer support tools, ticketing systems, or CRMs
Experience working with SaaS applications, technical savvy, marketplace, or online platform environment is a plus
Other Requirements:
Strong written and verbal communication skills
Organized, detail-oriented, and reliable
Comfortable multitasking in a fast-paced environment
Ability to follow processes while learning when to escalate issues
Responsibilities:
Respond to customer inquiries and support requests in a timely and professional manner
Assist the Customer Success Manager with resolving customer issues and following up as needed
Track and document customer issues, feedback, and resolutions in our systems
Escalate technical or complex issues to the appropriate internal teams
Help monitor customer feedback and flag recurring issues or trends
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Director of Platform Operations
Launch your startup with a high-impact, AI-curated domain name that ensures immediate credibility and brand alignment through a secure, expert-vetted marketplace.
Experience Requirements:
7–12 years of experience in operations
3+ years in a senior-level or team lead capacity
Background in SaaS, digital marketplaces, or high-volume transactional platforms
Experience with selling products or software directly to customers online
Familiarity with tools like Intercom, Stripe, ClickUp, or equivalent systems
Other Requirements:
Excellent judgment in fast-paced, high-stakes operational decisions
Analytical mindset with comfort in process design, automation, and continuous improvement
Responsibilities:
Oversee Daily Marketplace Operations
Manage and Optimize Support Systems
Coordinate Digital Product Delivery
Collaborate with Product & Engineering
Monitor Risk, Fraud, and Compliance
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AI Engineer
Streamline marketing workflows with a collaborative AI workspace that enables teams to research, strategize, and create on-brand content using multiple LLM models.
Benefits:
Competitive compensation package
Hybrid work flexibility
Personal development in a company that cares about learning
Mentorship & Education opportunities
Modern tech stack and tools
Experience Requirements:
Solid experience in NextJS, React, NodeJS, PostgreSQL, and Docker
Experience with Tailwind, tRPC, and Langchain
Knowledge of Zod is not mandatory, but it adds a cherry on top
Startup Mindset
Other Requirements:
Fluent English language skills
Self-Starter
Responsibilities:
Bring our product to life
Work in close-knit team of IOI gold medalists, CTOs and founders
Work on a problem that has the potential to create a historical shift in how we think about software
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Design Engineer
Streamline marketing workflows with a collaborative AI workspace that enables teams to research, strategize, and create on-brand content using multiple LLM models.
Benefits:
Competitive compensation package
Hybrid work flexibility
Personal development in a company that cares about learning
Mentorship & Education opportunities
Modern tech stack and tools
Experience Requirements:
Strong frontend development expertise
Proven experience across both frontend and backend development
Familiarity with various programming languages and frameworks
Experience working on scalable, high-quality applications
Other Requirements:
A hands-on, problem-solving attitude with a commitment to high standards
Comfortable with iterative development processes and working within a fast-paced environment
Responsibilities:
Transform product ideas into beautiful, functional interfaces
Collaborate with the founding team to define, design, and ship new features
Take ownership of our frontend, while at the same time being able to execute on fullstack tasks
Contribute to Juma’s technical architecture
Participate in all phases of the development lifecycle
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Full Stack Developer
Streamline marketing workflows with a collaborative AI workspace that enables teams to research, strategize, and create on-brand content using multiple LLM models.
Benefits:
Competitive compensation package
Hybrid work flexibility
Personal development in a company that cares about learning
Mentorship & learning opportunities
Modern tech stack and tools
Experience Requirements:
Solid experience in NextJS, React, NodeJS, PostgreSQL, and Docker
Experience with Tailwind, tRPC, and Langchain
Knowledge of Zod is not mandatory, but it adds a cherry on top
Startup Mindset
Other Requirements:
Fluent English language skills
Self-Starter
Responsibilities:
Creating innovative experiences
Keeping up with every new trend in web technologies
Ready to take on projects independently
Ability to function as part of our vibrant, dynamic team
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Applied AI Researcher
Connect AI agents to the real-time web for seamless search, extraction, and research through a single API, ensuring high-quality, structured context at scale.
Education Requirements:
M.Sc. in Computer Science, Data Science, or a related technical field
B.Sc. with 3+ years of hands-on experience in AI/ML applications
PhD in Computer Science (Nice to Have)
Experience Requirements:
3+ years of hands-on experience in AI/ML applications (if B.Sc.)
Strong understanding of LLMs, embeddings, cross-encoders, vector search
Experience running experiments and analyzing results with rigor
Experience in a fast-paced startup (Nice to Have)
Paper publications in conferences (Nice to Have)
Other Requirements:
Familiarity with open-source libraries, models and research environments
Ability to translate ideas into prototypes and iterate quickly
Responsibilities:
Be the expert in the latest research and tooling around LLMs and RAG
Develop benchmarks and evaluation frameworks
Productionize research and build end-to-end reliable systems
Contribute to internal research documentation
Stay up to date on academic and open-source developments
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Data Engineer
Connect AI agents to the real-time web for seamless search, extraction, and research through a single API, ensuring high-quality, structured context at scale.
Education Requirements:
Degree in Computer Science, Statistics, Engineering, or a related quantitative field
Experience Requirements:
3+ years of professional experience as a Data Engineer
Proficiency in Python
Experience with relational databases (SQL) and NoSQL databases
Experience with AWS and their data services
Experience with big data technologies (Preferred)
Other Requirements:
Experience with Mongo/Snowflake/Redis/S3
Experience with Airflow
Familiarity with containerization and orchestration tools
Knowledge of data governance and data security
Responsibilities:
Design, build, and maintain efficient and reliable ETL/ELT pipelines
Develop and improve data infrastructure
Ensure data quality, integrity, and security across all platforms
Optimize data systems for performance and scalability
Troubleshoot and resolve issues related to data pipelines
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QA Engineer
Connect AI agents to the real-time web for seamless search, extraction, and research through a single API, ensuring high-quality, structured context at scale.
Benefits:
Young, open, and inclusive culture
Chance to build at the forefront of agentic AI
Full medical and dental coverage
Deep-work culture
Monthly Cibus
Experience Requirements:
3+ years of experience in QA Engineering
Strong emphasis on backend/API testing
Hands-on experience with test automation frameworks
Experience testing distributed systems, microservices, or data pipelines
Familiarity with AI/ML systems
Other Requirements:
Strong understanding of REST APIs
Experience with CI/CD pipelines
Familiarity with cloud environments (AWS preferred)
Excellent communication in English
Responsibilities:
Design and execute test strategies for search API and content extraction
Build and maintain automated testing frameworks
Develop testing approaches for non-deterministic AI outputs
Create performance and load testing suites
Collaborate with developers to implement CI/CD quality gates
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Software Engineer
Connect AI agents to the real-time web for seamless search, extraction, and research through a single API, ensuring high-quality, structured context at scale.
Benefits:
Young, open, and inclusive culture
Chance to build at the forefront of agentic AI
Daily team lunches + fully stocked snacks
Full medical, dental, and vision insurance
Generous time off
Experience Requirements:
2–5 years of professional software engineering experience
Strong backend development skills (Python, Go, C++)
Experience designing and operating large-scale distributed systems
Hands-on expertise with AWS infrastructure
Experience building RAG workflows (Nice to Have)
Other Requirements:
Based in NYC or open to relocating
Curiosity about LLMs and retrieval
Familiarity with DevOps practices
Background in frontend or full stack (Nice to Have)
Responsibilities:
Build fast, reliable, and scalable systems for LLM workflows
Design and implement backend infrastructure and API endpoints
Collaborate closely with product to iterate on features
Improve performance, monitoring, and reliability
Own core systems and contribute to architectural decisions
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