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Senior Software Engineer
Optimize ecommerce ad performance and scale Meta spend with AI-powered audience intelligence and predictive conversion insights designed for modern DTC brands.
Benefits:
Medical
Dental
Vision
Equity
Education Requirements:
Bachelor's degree in Computer Science or a related field, or equivalent practical experience
Experience Requirements:
6+ years of professional software development experience
Proven experience working in startup environments
Other Requirements:
Proficiency with TypeScript, Python, and React
Strong working knowledge of SQL and relational database design
Experience building or integrating with AI-powered applications
Proficiency with AI-assisted coding tools (e.g., GitHub Copilot, Cursor, Claude Code)
Responsibilities:
Build, maintain, and scale full stack applications using TypeScript, React, and Python
Work on end-to-end features including AI agent interfaces and orchestration layers
Design, build, and document backend services and APIs
Query and manage relational databases using SQL
Own projects from architecture to deployment in an agile environment
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Automotive Functional Safety Architect – SoC/AI Silicon
Deploy high-performance AI inference at the edge with energy-efficient AIPUs and a comprehensive SDK, offering superior power-to-performance over traditional GPUs.
Benefits:
pension plan
extensive employee insurances
option to get company shares
Experience Requirements:
5+ years of experience in semiconductor functional safety
Other Requirements:
ISO 26262
SOTIF
ISO/SAE 21434
HARA
FMEDA
Responsibilities:
Define ISO 26262-compliant safety architecture
Integrate fault-tolerant safety mechanisms into RTL
Lead HARA, FMEDA, FTA, and DFA across hardware
Develop and validate technical safety concepts
Act as technical lead in partner and customer engagements
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Senior AI Consultant
Scale enterprise productivity with bespoke agentic AI solutions designed to automate complex workflows, process millions of documents, and enhance data governance.
Benefits:
Competitive compensation package including annual performance bonus
26 days of annual leave, 8 bank holidays plus your birthday off
BUPA Private Healthcare
Enhanced family leave
£1,000 annual development budget
Experience Requirements:
Experience in a strategic AI, data, or technology consulting role
Expertise in Generative AI technologies, LLMs, and their real-world application
Familiarity with vendor landscape in Generative AI and cloud technologies
Experience working directly with clients at senior and executive level
Experience analysing data using tools such as Excel or PowerBI
Other Requirements:
Ability to communicate complex technical topics to non-technical audiences
Strong analytical and problem-solving skills
Effective organisational skills
Proactive, collaborative attitude
Ability to work independently
Responsibilities:
Proactively contribute to AI strategy engagements
Conduct stakeholder interviews, workshops, and discovery sessions
Develop recommendations and roadmaps for AI adoption
Analyse business and operational data to generate insights
Forecast business outcomes and develop relevant financial models
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Head of Commercial
Scale enterprise productivity with bespoke agentic AI solutions designed to automate complex workflows, process millions of documents, and enhance data governance.
Benefits:
Competitive compensation package including annual performance bonus
26 days of annual leave, 8 bank holidays plus your birthday off
BUPA Private Healthcare
Enhanced family leave
£1,000 annual development budget
Experience Requirements:
Proven success as a commercial leader, owning £5M+ annual sales in RPA or Agentic AI
Demonstrated experience driving the entire sales process
Experience of developing and maintaining relationships at senior levels
In depth knowledge of RPA and Agentic AI solutions
Other Requirements:
Exceptional written and verbal communication skills
Ability to develop customised presentations, proposals, and pitches
Responsibilities:
Define and execute a comprehensive Agentic AI strategy
Analyse market trends, competitive landscape, and emerging AI technologies
Drive the end-to-end sales cycle
Establish an account planning and development capability
Translate company revenue targets into sales goals and KPIs
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ML Engineer
Scale enterprise productivity with bespoke agentic AI solutions designed to automate complex workflows, process millions of documents, and enhance data governance.
Education Requirements:
Strong foundation in mathematics and statistics
Experience Requirements:
Experience with applied machine learning techniques in Python
Experience of working collaboratively as part of a data science team
Experience of using different analysis techniques to draw insight from data
Proficiency in Python, including relevant libraries for data analysis and machine learning
Familiarity with Git as part of the development process
Other Requirements:
Effective organisational skills
Effective problem-solving and analytical skills
High attention to detail
Ability to work independently
Responsibilities:
Participate in the design, development, testing, and evaluation of data science solutions
Train and deploy state-of-the-art machine learning models
Build processes for extracting, cleaning and transforming data
Ad-hoc data mining for insights using Python + Jupyter notebooks
Present insights and predictions in live dashboards
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Software Engineer
Scale enterprise productivity with bespoke agentic AI solutions designed to automate complex workflows, process millions of documents, and enhance data governance.
Benefits:
Competitive compensation package including annual performance bonus
26 days of annual leave, 8 bank holidays plus your birthday off
BUPA Private Healthcare
Enhanced family leave
£1,000 annual development budget
Experience Requirements:
Experience of contributing to the design, development, testing, and deployment of software solutions
Experience of working collaboratively as part of a software team
Strong understanding of software engineering concepts and principles
Proficiency in at least one programming language
Intermediate Python, including relevant libraries for data engineering and backend API development
Other Requirements:
Good understanding of cloud deployment
Proficiency with Git
Intermediate Docker
Effective communication skills
Effective organisational skills
Responsibilities:
Contribute to the design, development, testing, and deployment of software solutions
Work collaboratively within a software engineering team
Write clean and efficient code in at least one programming language
Participate in the development and maintenance of backend APIs
Support cloud deployment of applications
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Senior Software Engineer
Scale enterprise productivity with bespoke agentic AI solutions designed to automate complex workflows, process millions of documents, and enhance data governance.
Benefits:
Competitive compensation package including annual performance bonus
26 days of annual leave, 8 bank holidays plus your birthday off
BUPA Private Healthcare
Enhanced family leave
£1,000 annual development budget
Experience Requirements:
Mastery of at least one programming language (preferably Python)
Experience in delivering, designing, and deploying scalable software solutions
Experience in DevOps practices
Experience with Docker development workflows
Strong understanding of databases and ORMs
Other Requirements:
High attention to detail with a thorough approach to code review and testing
Track record of mentoring and establishing engineering best practices
Effective communication skills
Ability to work independently and make architectural decisions
Strong problem-solving skills and analytical thinking
Responsibilities:
Contribute to the design, development, and deployment of robust software solutions
Contribute to architecting and maintaining complex data engineering pipelines
Support the thorough review of Python and SQL code
Support cloud-based deployments and infrastructure
Develop and implement database solutions
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Lead ML Engineer
Scale enterprise productivity with bespoke agentic AI solutions designed to automate complex workflows, process millions of documents, and enhance data governance.
Benefits:
Competitive compensation package including annual performance bonus
26 days of annual leave, 8 bank holidays plus your birthday off
BUPA Private Healthcare
Enhanced family leave
£1,000 annual development budget
Education Requirements:
Degree in a quantitative field such as mathematics, statistics or data science
Experience Requirements:
Experience of successfully leading complex data science and AI projects
Experience completing code reviews in Python and SQL through Git
Experience of using SQL and databases
Experience and understanding of applied machine learning techniques in Python
Practical knowledge and experience of developing AI solutions using advanced machine learning
Other Requirements:
Ability to think strategically and make complex decisions
Effective organisational skills
Effective problem-solving and analytical skills
Familiarity of the most state-of-the-art AI developments and trends
Excellent Python proficiency
Responsibilities:
Lead the design, development, testing, and evaluation of AI solutions
Build strong client relationships and lead project centred client interactions
Oversee the delivery of high-quality code and successful project outcomes
Build processes for extracting, cleaning and transforming data
Build AI systems using Large Language Models
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Senior ML Engineer
Scale enterprise productivity with bespoke agentic AI solutions designed to automate complex workflows, process millions of documents, and enhance data governance.
Education Requirements:
Strong foundation in mathematics and statistics
Experience Requirements:
Experience of proactively contributing to the design, development, testing, and deployment of data science and AI solutions
Experience and understanding of applied machine learning techniques in Python
Practical knowledge and experience of developing AI solutions using advanced machine learning techniques
Experience of working collaboratively as part of a data science team
Experience of using different analysis techniques to draw insight from data
Other Requirements:
Excellent communication skills
Effective organisational skills
Effective problem-solving and analytical skills
High attention to detail
Ability to work independently and as part of a team
Responsibilities:
Actively contribute to the design, development, testing, and evaluation of data science solutions
Train and deploy state-of-the-art machine learning and reinforcement learning models
Build AI systems using Large Language Models
Build processes for extracting, cleaning and transforming data
Ad-hoc data mining for insights
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Lead Software Engineer
Scale enterprise productivity with bespoke agentic AI solutions designed to automate complex workflows, process millions of documents, and enhance data governance.
Benefits:
Competitive compensation package including annual performance bonus
26 days of annual leave, 8 bank holidays plus your birthday off
BUPA Private Healthcare
Enhanced family leave
£1,000 annual development budget
Experience Requirements:
Experience of successfully leading complex software projects
Experience of completing code reviews in Python and SQL through Git
Experience of using SQL and databases
Experience of leading the design, development, testing, and deployment of software solutions
Experience of developing data engineering pipelines, backend services and APIs
Other Requirements:
Extensive knowledge of software engineering concepts and principles
Understanding of cloud deployment and Linux scripting
Advanced Docker skills
Ability to implement CI/CD pipelines
Strong communication skills
Responsibilities:
Lead the design, development, testing, and evaluation of complex software engineering solutions
Build strong client relationships and lead project-centred client interactions
Oversee the delivery of high-quality code and successful project outcomes
Build processes for extracting, cleaning and transforming data
Build AI systems using Large Language Models
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Junior DevOps Engineer
Optimize pharmaceutical manufacturing yield and quality using real-time AI-powered SaaS solutions designed for GxP compliance and operational efficiency.
Benefits:
Unique opportunity to join a scaling company
Competitive salary
Equity, bonuses, and stock options
Flexible schedule - Intensive Fridays
Medical & Dental Insurance
Experience Requirements:
1+ years of experience using AWS cloud technologies
Basic Infrastructure as Code (IaC) knowledge
Experience with CI/CD pipelines
Basic scripting skills (Bash, Python, etc)
Experience with CI/CD tools (Github Actions)
Other Requirements:
Proficient in spoken and written English
Strong analytical and creative problem-solving skills
Team player mindset
Commitment to Quality
Responsibilities:
Design, develop, and implement AWS infrastructure using IaC
Product Environments Commissioning/Decommissioning
Implement CI/CD pipelines
Ensure configuration management compliance
Automate infrastructure patching and vulnerability management
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AI Consultant
Optimize pharmaceutical manufacturing yield and quality using real-time AI-powered SaaS solutions designed for GxP compliance and operational efficiency.
Benefits:
Unique opportunity to join a scaling company
Competitive salary
Equity, bonuses, and stock options
Flexible schedule - Intensive Fridays
Medical & Dental Insurance
Education Requirements:
Minimum MSc in Computer Science, Mathematics, Statistics, or Advanced Analytics
Experience Requirements:
4+ years in a similar customer-facing position
Solid experience with Python
Comfortable with ML libraries (pandas, scikit-learn, TensorFlow, Keras)
Experience with relational and NoSQL databases
Other Requirements:
Proficient in spoken and written English
Willingness to travel
Strong analytical and creative problem-solving skills
Commitment to quality
Responsibilities:
Lead data analyses to solve business problems
Assist in training and fine-tuning Machine Learning models
Identify bottlenecks in ETL pipelines
Contribute to SaaS life cycle using Agile methodologies
Help validate algorithm implementations
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Junior Pharma MES & MBR Consultant
Optimize pharmaceutical manufacturing yield and quality using real-time AI-powered SaaS solutions designed for GxP compliance and operational efficiency.
Benefits:
Unique opportunity to join a scaling company
Competitive salary
Equity, bonuses, and stock options
Flexible schedule - Intensive Fridays
Medical & Dental Insurance
Education Requirements:
Minimum BSc in Pharmaceuticals, Biotechnology, Chemistry, Engineering, or Computer Science
Experience Requirements:
2+ years of experience in pharmaceutical or biotechnology industries
Understanding of GxP, FDA, and global regulatory requirements for EBRs
Other Requirements:
Proficient in spoken and written English
Availability to travel for visiting clients
Strong analytical and creative problem-solving skills
Excellent client-facing skills
Responsibilities:
Provide consulting services on EBR software implementation
Participate in projects and Proofs of Value
Deliver training on the software to clients
Ensure adherence to GxP regulations
Prepare project documentation and testing evidence
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Pharma MES & MBR Consultant
Optimize pharmaceutical manufacturing yield and quality using real-time AI-powered SaaS solutions designed for GxP compliance and operational efficiency.
Benefits:
Unique opportunity to join a scaling company
Competitive salary
Equity, bonuses, and stock options
Flexible schedule - Intensive Fridays
Medical & Dental Insurance
Education Requirements:
Minimum MSc in Pharmaceuticals, Biotechnology, Chemistry Engineering or Computer Science
Experience Requirements:
3+ years in a customer-facing consultant position
3+ years of experience in pharmaceutical or biotechnology industries
Strong understanding of GxP, FDA, and global regulatory requirements
Other Requirements:
Proficient in spoken and written English
Availability to travel for visiting clients
Ability to work under pressure
Willingness to comply with ISO standards and GMP regulations
Responsibilities:
Provide consulting services on EBR software implementation
Conduct gap assessment of clients' Master Batch Recipes
Design conversion strategy and sequence for MBRs
Detect opportunities for new business
Provide pre-sales support on demand
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Project Manager
Optimize pharmaceutical manufacturing yield and quality using real-time AI-powered SaaS solutions designed for GxP compliance and operational efficiency.
Benefits:
Unique opportunity to join a scaling company
Competitive salary
Equity, bonuses, and stock options
Flexible schedule - Intensive Fridays
Medical & Dental Insurance
Education Requirements:
Technical background in Engineering, Physics, or Life Sciences
Experience Requirements:
5+ years of experience leading projects using Agile/Scrum
Experience in software companies focused on the pharma market
Experience managing eBR projects
Expertise in Jira and Google Suite
Knowledge of ETL / Data Warehouse methodologies
Other Requirements:
Fluency in English (French is a plus)
Availability to travel
Based in Barcelona or able to relocate
Compliance with ISO standards and GMP regulations
Responsibilities:
Lead project meetings and coordinate resources
Manage project planning, scope, and objectives
Manage Scrum boards and Jira Roadmaps
Perform Sprint meetings
Perform risk management to minimize project risks
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Customer Support Tier 1 - APAC (11 pm - 8 am)
Optimize pharmaceutical manufacturing yield and quality using real-time AI-powered SaaS solutions designed for GxP compliance and operational efficiency.
Benefits:
Competitive salary
Equity, bonuses, and stock options
Language one-to-one training courses
Medical & Dental Insurance
Internal training and certifications plan
Experience Requirements:
3+ years of experience in a technical support environment
Experience working with ticketing systems (Jira, Zendesk, etc)
Basic understanding of cloud and SaaS platforms
Familiarity with common operating systems (Windows, macOS, Linux)
Other Requirements:
Proficient in C-level English
Ability to work rotation shifts (11 pm - 8 am)
Strong communication and troubleshooting skills
Responsibilities:
Respond to customer inquiries via email
Provide troubleshooting and technical assistance
Meet Service Level Agreements (SLAs)
Escalate complex issues to Tier 2
Document customer interactions in ticketing system
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Customer Support Tier 1 - EMEA (7 am - 4 pm)
Optimize pharmaceutical manufacturing yield and quality using real-time AI-powered SaaS solutions designed for GxP compliance and operational efficiency.
Benefits:
Competitive salary
Equity, bonuses, and stock options
Language one-to-one training courses
Medical & Dental Insurance
Internal training and certifications plan
Experience Requirements:
3+ years of experience in a technical support environment
Experience working with ticketing systems (Jira, Zendesk, etc)
Basic understanding of cloud and SaaS platforms
Familiarity with common operating systems (Windows, macOS, Linux)
Other Requirements:
Proficient in C-level English
Ability to work rotation shifts (7 am - 4 pm)
Strong communication and troubleshooting skills
Responsibilities:
Respond to customer inquiries via email
Provide troubleshooting and technical assistance
Meet Service Level Agreements (SLAs)
Escalate complex issues to Tier 2
Document customer interactions in ticketing system
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Sr. Commercial Legal Council
Optimize pharmaceutical manufacturing yield and quality using real-time AI-powered SaaS solutions designed for GxP compliance and operational efficiency.
Benefits:
Unique opportunity to join a scaling company
Competitive salary
Equity, bonuses, and stock options
Flexible schedule - Intensive Fridays
Medical & Dental Insurance
Education Requirements:
Law degree (LL.B. or equivalent)
Master’s degree in International or Commercial Law preferred
Experience Requirements:
5+ years of experience in commercial law
Strong knowledge of international contracting frameworks
Experience drafting and negotiating complex commercial agreements in English
Familiarity with GDPR and data privacy regulations
Other Requirements:
Excellent communication skills and business acumen
Ability to work in a dynamic, fast-paced environment
Ownership and independence
Compliance with ISO and GMP standards
Responsibilities:
Draft and negotiate SaaS and professional services agreements
Provide guidance on international commercial law
Identify legal risks and propose practical solutions
Ensure compliance with data protection and export controls
Collaborate with Sales, Finance, and Executive teams
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Software Business Analyst Intern
Optimize pharmaceutical manufacturing yield and quality using real-time AI-powered SaaS solutions designed for GxP compliance and operational efficiency.
Benefits:
Competitive salary
Internal training and certifications plan
Career plan
Monthly team-building activities
Top-notch tech pack
Education Requirements:
At least a bachelor's degree in information technology and computer science
Experience Requirements:
Basic programming skills and knowledge of programming frameworks
Other Requirements:
Proficient in spoken and written English
Proactive and enthusiastic approach
UML knowledge is a plus
Responsibilities:
Participate in building functional reference of products
Analyze and refine requirements of new features
Assist in the functional design of new features
Compose functional documentation
Support communication between Product and Development teams
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Enterprise Account Executive - DACH market
Secure your LLM agents against hallucinations and adversarial attacks with automated red teaming, domain-specific evaluation, and continuous quality monitoring.
Benefits:
Flexible working hours
Stock options
Team building
Remote work allowance
On-site gym
Experience Requirements:
> 4 years of experience
At least 5 years of experience in enterprise software sales
Proven track record of selling high-value (>100 K€) ARR deals
Experience using modern AI-enabled prospecting and CRM tools
Other Requirements:
Fluent in German and English
Valid EU work permit
Able to travel to Paris HQ at least once per month
Responsibilities:
Drive pipeline generation
Lead qualification and demos
Develop trusted advisor relationships with GenAI and cybersecurity leaders
Manage complex deal cycles
Provide structured feedback to the product team
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