AI Jobs

Benefits:

• Remote and flexible working

• 25 days annual leave plus bank holidays

• Enhanced Pension Scheme

• Private medical cover (Vitality)

• £100 per month home-working allowance

Experience Requirements:

• Consistent high performer with a strong track record in enterprise or SaaS sales

• Significant experience selling Contact Centre software or technology solutions

• Skilled in influencing senior decision-makers (CIOs, Directors)

• Strong consultative seller able to articulate ROI and business value

• Technically confident with ability to translate complex solutions

Other Requirements:

• Experience selling into local government is advantageous

Responsibilities:

• Convert marketing-qualified leads and drive trial-to-contract conversion

• Build and manage a robust enterprise sales pipeline

• Develop strong relationships with senior stakeholders

• Deliver compelling product demonstrations and ROI-driven proposals

• Co-sell with Microsoft and collaborate on joint go-to-market strategies

Other Requirements:

• Passion for building on the bleeding edge of technology

• Passion for helping businesses scale in different industries

Responsibilities:

• Pushing your business forward into the age of AI

Other Requirements:

• Exceptional abilities and the drive to make an impact

Responsibilities:

• Build Quantum-Native AI to simulate complex systems

• Tackle the intractability of complex chaos

• Bridge causal gaps in Quantum Foundations: Adiabatic Annealing, Control Theory, & Error Correction

• Develop Quantum-ML Hybrids and High-Performance Research Engineering

• Research Neural Topology, Theoretical Neuroscience, and Neuromorphic Engineering

Other Requirements:

• Exceptional abilities and the drive to make an impact

Responsibilities:

• Build Quantum-Native AI to simulate complex systems

• Tackle the intractability of complex chaos

• Bridge causal gaps in Quantum Foundations: Adiabatic Annealing, Control Theory, & Error Correction

• Develop Quantum-ML Hybrids and High-Performance Research Engineering

• Research Neural Topology, Theoretical Neuroscience, and Neuromorphic Engineering

Other Requirements:

• Exceptional abilities and the drive to make an impact

Responsibilities:

• Advance the next generation of neural network architectures

• Develop Large Language Models (LLMs) and AI agents

• Directly impact enterprise AI applications and real-world solutions

• Drive immediate value with classical AI approaches

Benefits:

• company paid health insurance

• 401K Plan with employer match

• Self-Managed PTO

• parental leave

• above market new hire equity grants

Experience Requirements:

• 6+ years in product management in B2B cybersecurity

• Track record of building successful cybersecurity products

• Deep cybersecurity and security operations background

• Experience managing and developing product talent

• Early-stage startup mindset

Other Requirements:

• Semi-frequent travel to professional office settings

• Customer-obsessed with strong communication skills

• Ability to influence cross-functionally without direct authority

Responsibilities:

• Define and drive Dropzone’s product vision, roadmap, and execution

• Collaborate across Engineering, GTM, and Customer Success

• Represent the product function to prospects and customers

• Own the end-to-end rollout of both new products and enhancements

• Define success metrics and track performance

Benefits:

• End-to-end ownership and technical autonomy

• Opportunity to build a generational AI Security product

• Work with a global team in a fast-moving, high-impact environment

• Competitive compensation and strong growth opportunities

Experience Requirements:

• Excellent experience with Python backend development

• Production level experience building solutions using with LLMs & Agentic AI systems(LangChain, LangGraph, PyTorch)

• Strong experience with Docker & Kubernetes in production

• Experience with MongoDB

• Strong understanding of GraphQL

Other Requirements:

• Experience with Terraform

• Knowledge of API security & rate limiting

• Experience with AWS, GCP, or Azure

Responsibilities:

• Design and build production-grade backend services in Python that power AI-driven security products

• Implement LLM-powered agent workflows for real-world AI Security use cases

• Design, implement, and maintain GraphQL APIs for internal and customer-facing systems

• Model, store, and optimize data in MongoDB for performance and scale

• Containerize applications with Docker and deploy, scale, and operate them using Kubernetes

Benefits:

• Fully remote

• Flexible holidays

• Amazing retreats

• Flexible working hours

• Financial wellbeing

Experience Requirements:

• 3+ years of experience in selling B2B or enterprise SaaS products

• Experience with sales tools including CRM software, sales automation techniques and/or SEO

• STEM background (plus)

• Previous startup experience (plus)

Other Requirements:

• Exceptional communication skills in English

• Entrepreneurial attitude and eagerness to take initiative

• Ability to prioritize and thrive in a fast-paced remote environment

Responsibilities:

• Identify and execute on both inbound and outbound strategies

• Own prospecting, generation and qualification of leads

• Create insights from analytics to upgrade our sales engine

• Talk with prospects, from computer vision engineers to CxOs

• Investigate better solutions for prospects with product & engineering team

Benefits:

• Competitive compensation

• Stock options

• Work from home

• Flexible working hours

• Flexible PTO

Experience Requirements:

• Strong technical skills in TypeScript and modern frontend frameworks (Vue.js or React)

• Experience with or interest in 3D graphics (Three.js/WebGL/WebGPU)

• Senior engineering experience making others better

Other Requirements:

• Ideally based in Belgium, or located in a timezone between GMT-1 and GMT+2

• Comfortable working directly with customers to understand their needs

• Write code that others want to read and maintain

Responsibilities:

• Build visualization and annotation tools involving complex technical challenges

• Migrating 3D rendering pipeline from WebGL to WebGPU

• Splitting up massive point clouds into smaller tiles served dynamically

• Implementing multi-sensor annotation features across frames

• Shipping issue anchoring for precise problem pinpointing

Benefits:

• Small, focused team

• Direct impact on product

• Modern AI-first development practices

• Remote-friendly

Experience Requirements:

• 3+ years of backend development experience

• Proficiency in Python

• AI-assisted coding proficiency (Cursor, Claude Code)

• Experience with AWS services (S3, Lambda)

• Docker and CI/CD pipelines

Other Requirements:

• Strong debugging skills

• Exposure to image processing or GPU workloads

• Experience with billing/subscription integrations

• Familiarity with Sentry or observability platforms

Responsibilities:

• Building and maintaining Python APIs

• Developing admin tooling and integrations

• Optimising GPU pipeline performance

• Improving observability with logging and tracing

• Working with image processing workflows

Experience Requirements:

• 5-8yrs

Other Requirements:

• Data Science team

• No. of Openings : 1

Experience Requirements:

• 5-7yrs

Other Requirements:

• Platform team

• No. of Openings : 1

Benefits:

• Competitive compensation

• Remote flexibility

• Culture of curiosity, impact, and integrity

Experience Requirements:

• 4+ years of experience in pre-sales engineering or solutions architecture

• Proficiency with Python or similar scripting languages

• Familiarity with major ERP systems (e.g., NetSuite, Oracle, SAP, Workday)

Other Requirements:

• US citizens or Green Card holders

Responsibilities:

• Architect & Deliver POCs

• Pre-Sales Engagement

• Customer Relationship Building

• Product Evangelism

• Partner Collaboration

Experience Requirements:

• 2-3+ years of experience hiring and leading teams as an engineering manager

• 10+ years of experience as a senior individual contributor

• Experience in Rust

• Hands-on experience with cloud infrastructure and Kubernetes

• Experience supporting AI/ML platforms

Other Requirements:

• Attend onsite meetings 2-3 days a month

• Must be eligible to work in the US without sponsorship

Responsibilities:

• Own the design, reliability, scalability, and security of platform infrastructure

• Implement best practices around identity and access controls

• Establish patterns for service design and deployment

• Own system observability

• Set technical direction for infrastructure components written in Rust

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, NLP

Experience Requirements:

• Minimum 5+ years of experience in applied machine learning

• Proven experience in Generative AI (LLMs, RAG, Agentic AI)

• Strong proficiency with AI/ML/NLP techniques (Huggingface, Scikit-learn, etc.)

Other Requirements:

• US citizens or GreenCard holders

Responsibilities:

• Lead development of machine learning models and data-driven algorithms

• Collaborate with product and platform teams end-to-end

• Communicate modeling decisions and tradeoffs

• Build and maintain enterprise products

• Support production systems and debug distributed systems

Benefits:

• Medical, dental, vision

• 401(k) with match

• Generous PTO

• Flexible scheduling

• Company-provided home-office equipment

Education Requirements:

• PhD/PsyD (or equivalent) in Clinical Psychology or a closely related field

Experience Requirements:

• 4-5 years work experience

• ≥ 3 years post-doctoral experience conducting clinical outcome assessments (ClinROs) in trials

Other Requirements:

• Formal training in mood-disorder interviews (HAM-D, MADRS, etc.)

• Professional video presence and reliable high-speed internet

• Comfort working across U.S. time zones

• Licensure not required for this research-only role

Responsibilities:

• Administer & score clinician-rated instruments (HAM-D, MADRS, etc.) via secure video

• Document in 21 CFR Part 11–compliant platforms

• Audit peer assessments and resolve scoring discrepancies

• Train and mentor new raters and co-lead calibration meetings

• Collaborate with product & data-science teams to pilot AI-assisted assessments

Benefits:

• Startup Energy, Enterprise Scale: Fast-paced innovation with global ambition

• Revolutionize Retail Marketing: Be at the forefront of AI-powered solutions

• Meaningful Contribution: Directly impacts major brands' success

• No Red Tape: Autonomy and empowerment to drive results

• Growth & Fun: Continuous learning in a vibrant, collaborative culture

Experience Requirements:

• 4–7 years of experience in sales leadership roles within SaaS, retail media, or digital advertising

Other Requirements:

• A hunter mindset and a hands-on approach

• Exposure to retail media or enterprise SaaS sales

• Excellent communication, negotiation, and presentation skills

• Experience collaborating with cross-geo teams and stakeholders

• Analytical and data-driven

Responsibilities:

• Develop and execute sales strategies to achieve revenue goals and expand market presence

• Proactively identify and secure new opportunities with a hunter mindset

• Build, nurture, and manage strong relationships with key clients and partners

• Work closely with global and local teams across product, marketing, and customer success

• Share insights on industry trends, customer needs, and competitive activity

Benefits:

• Startup Energy, Enterprise Scale: Fast-paced innovation with global ambition

• Revolutionize Retail Marketing: Be at the forefront of AI-powered solutions

• Meaningful Contribution: Directly impacts major brands' success

• No Red Tape: Autonomy and empowerment to drive results

• Growth & Fun: Continuous learning in a vibrant, collaborative culture

Experience Requirements:

• 6+ years of experience in customer success or enterprise account management within SaaS, retail media, ad-tech, or mar-tech

Other Requirements:

• Skilled at managing multiple senior stakeholders within large organizations

• Excellent communicator, able to engage with executive-level clients

• Proven ability to upsell, renew, and expand customer relationships

• Strong analytical and problem-solving skills

• Comfortable leading QBRs and executive-level business reviews

Responsibilities:

• Accountable for the client relationship from contract through implementation and renewal

• Develop optimization strategies tailored to each client’s use of the platform

• Own a quota tied to adoption, upsell, and retention

• Conduct regular QBRs to align on performance and showcase ROI

• Act as the primary point of contact for senior and executive management