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IT Infrastructure Analyst
Find the perfect candidate quickly by accessing a pool of 20 million profiles filtered by AI to find the top 0.1% for specialized tech and sales positions.
Benefits:
Hybrid work in Medellín
$500 USD per year for studies or university
Prepaid medical insurance
1 additional day of vacation
Reduced weekly working hours
Education Requirements:
Technologist or professional in systems or related areas
Experience Requirements:
Minimum of 2 years of proven experience
Administration and deployment of on-premises and data center server infrastructure
Other Requirements:
Microsoft AZ-900 certification
Sophos or Fortinet Engineer certification
Acronis Fundamentals certification
Knowledge of virtualization (Hyper-V, VMware)
Responsibilities:
Manage and deploy on-premise and data center server infrastructure
Manage customer perimeter security (Sophos/Fortinet)
Manage antivirus platforms
Manage backup processes (Acronis, Veeam, NAS)
Implement and manage domain controllers and network services
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MetLife Sales Executive
Find the perfect candidate quickly by accessing a pool of 20 million profiles filtered by AI to find the top 0.1% for specialized tech and sales positions.
Benefits:
Unlimited commissions
Extra-legal bonuses
Days off per year
Prepaid medical care for you and your family
Interest-free educational loan
Education Requirements:
Technologist or a professional in any area of knowledge
Experience Requirements:
At least 3 years of sales experience
Experience in consultative selling
Other Requirements:
Commercial aggressiveness
Negotiating capacity
Self discipline
Adaptation to changes
Proactividad
Responsibilities:
Identify prospects
Contact potential clients for consulting sessions
Identify client needs to present portfolio
Closing deals
Protecting Colombians and helping them achieve goals
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Key Account Executive in the construction finishing sector
Find the perfect candidate quickly by accessing a pool of 20 million profiles filtered by AI to find the top 0.1% for specialized tech and sales positions.
Benefits:
Competitive salary
Performance-based commissions
Dynamic and collaborative work environment
Opportunities for growth and professional development
Education Requirements:
Technologist or professional in Architecture, Civil Engineering, Business Administration, Marketing or related
Experience Requirements:
Minimum 2 years of proven experience in commercial management and sales in the construction sector
Other Requirements:
Excellent communication and negotiation skills
Results-oriented
Knowledge of the architectural finishes market
Responsibilities:
Achieve and exceed sales and collections budget
Maintain and strengthen relationships with clients
Identify and develop new business opportunities
Establish and maintain strong relationships with key clients
Analyze the market and competition
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Bookkeeper
Achieve financial clarity and grow your business with AI-powered accounting insights that simplify complex data for small business owners and accountants.
Benefits:
Remote or in-office work depending on firm needs
Education Requirements:
Associate degree or higher in Accounting, Finance, or related field
Experience Requirements:
2+ years of bookkeeping experience
Other Requirements:
Proficiency in QuickBooks, Xero, or similar accounting platforms
Strong understanding of accounts payable, accounts receivable, and general ledger
Payroll processing experience
Familiarity with U.S. tax regulations
Accounting or bookkeeping certification
Responsibilities:
Maintain accurate financial records and post transactions
Process accounts payable and accounts receivable
Record payroll transactions and related entries
Perform monthly bank and credit card reconciliations
Prepare monthly, quarterly, and annual financial statements
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Senior Full-Stack Software Engineer
Maximize subscriber revenue and retention for ISPs and telecom providers with AI agents that provide real-time guidance and automated sales and support workflows.
Benefits:
equity
employer-covered health/vision/dental insurance
optional FSA
401k matching
generous PTO allowance
Education Requirements:
very strong CS, math, physics or similar degree from a leading program
PhD applicants are actively considered
Experience Requirements:
4+ years experience building applications
proven ability in writing clean, scalable code
significant experience in one or more programming languages
solid knowledge of programming fundamentals
proven capability in creating a successful software product
Other Requirements:
Excited to move fast and know how to prioritize
Comfortable working outside of a traditional narrow engineering role
Effective communication between technical and business staff
Broad skillset blurring lines between engineering and data science
Exceptional computational or business background
Responsibilities:
envisioning, designing, coding, testing and improving products
continual collaboration with data scientists and stakeholders
building new back-end and front-end features
instilling best practices like automated testing and code organization
evaluating potential new technologies
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Senior Data Scientist
Maximize subscriber revenue and retention for ISPs and telecom providers with AI agents that provide real-time guidance and automated sales and support workflows.
Benefits:
Company equity grants
Employer-covered health, vision, and dental insurance
401k matching
20 days of PTO allowance per year
10 annual holidays
Education Requirements:
Degree in a STEM discipline preferred (or equivalent practical experience)
Experience Requirements:
4+ years of experience in applied data science or machine learning
Strong Python and SQL skills
Experience developing and evaluating supervised ML models
Practical experience with experimentation and statistical reasoning
Familiarity with reinforcement learning or decisioning frameworks
Other Requirements:
Demonstrated ability to independently frame problems
Strong communication skills across technical and business audiences
Experience in telecom, subscription, pricing, or churn analytics
Exposure to contextual bandits or policy optimization
Familiarity with AI agents
Responsibilities:
Translate business asks into modeling tasks and evaluation frameworks
Develop predictive models and decision logic
Design and analyze A/B tests or staged rollouts
Specify model inputs, outputs, and logging for monitoring
Communicate findings and tradeoffs to stakeholders
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Head of Marketing
Transform real-time financial data into investment conviction with expert AI agents designed for hedge funds, banks, and asset managers to generate alpha.
Benefits:
Comprehensive health insurance
401(k) and pre-tax benefits
Unlimited PTO
Travel budget
Office Equipment allowance
Experience Requirements:
10+ years of hands-on experience positioning B2B products
Track record of delivering growth in demand
Experience in financial services or fintech preferred
Excellent communication skills
Expertise in account-based marketing
Other Requirements:
Self-starter mentality
Experienced user of generative AI tools
Responsibilities:
Develop product positioning and messaging
Develop sales enablement materials
Build and manage growth marketing channels
Create and optimize conversion funnels
Develop content marketing and manage PR
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Founding Marketer
Transform real-time financial data into investment conviction with expert AI agents designed for hedge funds, banks, and asset managers to generate alpha.
Benefits:
Comprehensive health insurance
401(k) and pre-tax benefits
Unlimited PTO
Travel budget
Office Equipment allowance
Experience Requirements:
5+ years of hands-on experience positioning B2B products
Track record of delivering growth in demand
Experience in financial services or fintech preferred
Excellent written and verbal communication skills
Expertise in account-based marketing strategies
Other Requirements:
Self-starter mentality
Proficient in social channel communications
Experienced user of generative AI tools
Responsibilities:
Develop product positioning and messaging
Develop sales enablement materials
Build and manage growth marketing channels
Create and optimize conversion funnels
Develop content marketing and thought leadership
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Business Operations
Transform real-time financial data into investment conviction with expert AI agents designed for hedge funds, banks, and asset managers to generate alpha.
Benefits:
Comprehensive health insurance
401K
Unlimited PTO
Travel budget
Office equipment allowance
Experience Requirements:
2+ years experience in Business Operations or Chief of Staff
Track record of tackling ambiguous business problems
Strong strategic thinking and operational execution
Highly organized and detail-oriented
Other Requirements:
Management consulting background preferred
Responsibilities:
Drive cross-functional alignment
Partner with CEO on strategic projects
Support GTM execution and forecasting
Aggregate company financials and modeling
Own end-to-end execution of cross-company projects
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ML Research Intern
Transform real-time financial data into investment conviction with expert AI agents designed for hedge funds, banks, and asset managers to generate alpha.
Education Requirements:
Currently pursuing a PhD or Master’s degree in Computer Science, Machine Learning, or NLP
Experience Requirements:
Strong background in deep learning, LLMs, and NLP
Track record of first-author publications in top AI/NLP conferences
Proficiency in Python and deep learning frameworks
Other Requirements:
Domain knowledge with RAG, RL and AI agent training is a plus
Responsibilities:
Conduct original research in LLM training and RAG
Develop and experiment with new models and algorithms
Collaborate with in-house researchers
Present findings through papers and technical talks
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Applied Scientist (ML)
Transform real-time financial data into investment conviction with expert AI agents designed for hedge funds, banks, and asset managers to generate alpha.
Benefits:
Comprehensive health insurance
401(k) and pre-tax benefits
Unlimited PTO
Travel budget
Office Equipment allowance
Education Requirements:
PhD or Master’s degree in Computer Science, Machine Learning, NLP, or a related field
Experience Requirements:
Strong background in deep learning, large language models, and NLP techniques
Track record of first-author publications in top AI/NLP conferences
Proficiency in Python and deep learning frameworks (PyTorch, Transformers)
Other Requirements:
2+ years of industry applied ML research experience preferred
Familiarity with retrieval-augmented generation and RL
Responsibilities:
Formulate ML problems from product requirements
Analyze existing ML systems and propose novel methodologies
Create and productionize research prototypes
Build novel ML evaluation datasets
Mentor ML interns and publish research findings
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Backend Engineer
Transform real-time financial data into investment conviction with expert AI agents designed for hedge funds, banks, and asset managers to generate alpha.
Benefits:
Comprehensive health insurance
401(k) and pre-tax benefits
Unlimited PTO
Travel budget
Office Equipment allowance
Education Requirements:
Bachelors in Computer Science, Engineering or related qualification
Experience Requirements:
5+ years experience in tech industry
Experience in backend or distributed systems
Experience in data/indexing/search systems at scale
Expertise in building for scale and performance
Other Requirements:
Proactive and eager to take ownership
Fast iteration based on user engagement
Excited about mentoring
Responsibilities:
Develop and own core system components
Design document ingestion systems at scale
Provide engineering best practices
Build extensible systems for business problems
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Strategic Business Development Lead
Transform real-time financial data into investment conviction with expert AI agents designed for hedge funds, banks, and asset managers to generate alpha.
Benefits:
Comprehensive health insurance
401K
Unlimited PTO
Travel budget
Office equipment allowance
Education Requirements:
Advanced degree (MBA, CFA, CQF, MSc Finance, etc.) preferred
Experience Requirements:
3+ years of experience in a financial expert role
Deep understanding of financial workflows
Proven ability to influence senior decision-makers
Excellent presentation and communication skills
Other Requirements:
Proactive and self-driven mindset
Prior experience in risk, quant, or trading systems preferred
Responsibilities:
Support the full sales cycle with domain expertise
Engage senior stakeholders in deep conversations
Lead tailored demos and workshops
Serve as a trusted advisor on AI potential
Influence product roadmap as Voice of the Customer
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Machine Learning Engineer
Transform real-time financial data into investment conviction with expert AI agents designed for hedge funds, banks, and asset managers to generate alpha.
Benefits:
Comprehensive health insurance
401(k) and pre-tax benefits
Unlimited PTO
Travel budget
Office Equipment allowance
Education Requirements:
Bachelors in Computer Science, Engineering or related qualification
Experience Requirements:
3+ years experience in industry applied ML
Experience in LLM model training, inference and eval
Experience in serving ML models to a significant number of users
Other Requirements:
Proactive and eager to take ownership
Fast iteration based on user engagement
Responsibilities:
Design scalable ML inference/training systems
Automate ML pipelines at scale
Productionize research prototypes
Develop evaluations/models to improve core systems
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D: Growth AI Partners / Data Analyst
Increase customer lifetime value and operational efficiency with AI agents for data integration, human flow analysis, and automated marketing and support.
Benefits:
Social insurance coverage
Annual paid leave (15 days)
Full transportation allowance
Referral bonus (300,000 JPY)
Stock option system
Experience Requirements:
Advanced visualization skills using BI tools (Tableau, Power BI, etc.)
SQL skills for data extraction and processing
Ability to find business issues from web and customer data
Practical knowledge of KPI design and data quality management
Other Requirements:
Commitment to final results and customer contribution
Active involvement in team and organizational growth
Responsibilities:
Collect, organize, and visualize project data
Support identification of business challenges and improvements
Provide reporting and insights from a business-side perspective
Support data-driven growth strategies for B2C companies
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C-2: Data Scientist
Increase customer lifetime value and operational efficiency with AI agents for data integration, human flow analysis, and automated marketing and support.
Benefits:
Social insurance coverage
Annual paid leave (15 days)
Full transportation allowance
Referral bonus (300,000 JPY)
Stock option system
Experience Requirements:
Experience building prediction models (demand, churn) using large data
Advanced analysis and implementation skills in Python/R and SQL
Logical thinking to link analysis results to business impact
Other Requirements:
Venture spirit to lead projects in a fast-paced environment
Active participation in organizational growth and recruitment
Responsibilities:
Utilize statistical analysis and ML to support client growth
Construct prediction and optimization models for B2C clients
Derive new insights from data for consulting projects
Lead data-driven initiatives to resolve client resource shortages
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Inbox Manager
Reduce employee attrition and boost engagement with AI-driven conversational surveys and predictive analytics designed for HR leaders in IT, BPM, and retail.
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Senior Embedded Software Engineer
Shift from reactive to proactive infrastructure management using physical AI and autonomous technology to monitor, diagnose, and protect critical utility assets.
Education Requirements:
Bachelor’s or Master’s degree in Computer Science, Electrical Engineering
Experience Requirements:
8+ years of hands-on experience developing embedded software
Strong experience with Embedded Linux and board bring-up
Proficiency in C/C++
Knowledge of Python, Bash, or scripting languages
Experience with Yocto Project or Buildroot
Other Requirements:
I2C
SPI
UART
GPIO
MIPI
USB
GDB
Secure boot
TrustZone
Responsibilities:
Design and develop embedded Linux software for edge devices
Implement core components like device drivers and system services
Collaborate with product, hardware, and AI teams
Translate product requirements into technical solutions
Debug complex system-level issues across hardware and software
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Principal FRS & Treasury Accountant
Identify and close security gaps created by shadow AI, data leaks, and misconfigurations across your attack surface with unified exposure management.
Benefits:
medical, dental, vision, disability and life insurance
401(k) retirement savings with company match
employee stock purchase plan
parental leave
company-paid holidays
Education Requirements:
Professional accountancy qualification (e.g. ACCA/ACA)
Experience Requirements:
Minimum of 5 years of post-qualification experience
Experience working in Practice is preferred
Strong technical accounting skills
Excellent Excel skills
Experience working with an ERP system
Other Requirements:
Fluency in a second language like French, Polish, Arabic, or Spanish is advantageous
Responsibilities:
Main contact for Ireland and UK statutory FRS 102 audits
Support preparation of annual Corporation Tax Return and R&D Credit Claims
Prepare and submit VIES, 46G and other tax returns
Manage bank account opening, closing and KYC process
Lead the implementation of process automations
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Technical Support Manager
Identify and close security gaps created by shadow AI, data leaks, and misconfigurations across your attack surface with unified exposure management.
Benefits:
medical, dental, vision, disability and life insurance
401(k) retirement savings with company match
employee stock purchase plan
education assistance
paid time off (PTO)
Experience Requirements:
3-5 years experience managing a team of 8 or more Technical Support Engineers
Experience of using AI in day to day work an advantage
Other Requirements:
Fluent English speaker
Be willing to support the team outside of hours as business needs
Responsibilities:
Manage Support Engineers across multiple shifts and locations in EMEA
Evaluate and refine the customer’s technical support experience
Define and collect KPIs to manage capacity planning
Interact with R&D and Product Management teams to diagnose escalated issues
Use AI to drive efficiencies throughout the team
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