AI Jobs

Benefits:

• Possibility of relocation after successfully completing a three-month probationary period.

• Experience working on an innovative project in the AI and PropTech sectors.

• Minimal bureaucracy and agile decision-making processes.

• Startup atmosphere with ample freedom and autonomy.

• Opportunities for career growth within the company.

Responsibilities:

• Ensuring the seamless operation of the customer support service for a multilingual platform, focusing on English-speaking users.

• Managing the support department to ensure compliance with internal regulations, including timely contract processing, accurate data entry, and maintenance of analytical records.

• Resolving incoming customer inquiries promptly and efficiently.

• Collaborating with internal departments to address customer incidents effectively.

• Assisting the legal department in preparing service contracts and monitoring contract changes.

Benefits:

• Opportunities for significant career advancement and professional training

• Fully remote position with flexible working conditions

Experience Requirements:

• At least one year of relevant customer service experience

Responsibilities:

• Respond professionally and promptly to incoming investor inquiries

• Manage client communication via WhatsApp and phone calls

• Build and nurture trusting relationships by thoroughly understanding clients' needs

• Organize and lead informative Zoom consultations

• Accurately input and maintain client information in CRM systems

Experience Requirements:

• You’ve built strong working relationships with local agents who trust and rely on you

• You’re actively contributing to successful deal closures using our platform

• You’ve developed a solid understanding of our tools, workflows, and client needs

• You’ve brought fresh ideas to the table and taken initiative where you see opportunities

• You’ve helped streamline communication and ensured agents feel supported and empowered

Responsibilities:

• Supporting agents throughout the full sales cycle — from lead to close

• Distributing investment offers to agents and ensuring market visibility

• Maintaining long-term relationships with active agents in the UAE

• Coordinating and assisting in successful deal execution

• Ensuring no leads or opportunities are lost in CRM (we value clean data!)

Benefits:

• Massive career growth opportunities

• Competitive compensation package

Education Requirements:

• Bachelor's degree in Human Resources, Business, or a related field (or equivalent experience)

Experience Requirements:

• Proven experience as a Technical Recruiter, preferably in a fast-paced technology company

• Strong understanding of software engineering roles, technologies, and industry trends

• Experience with applicant tracking systems (ATS) and recruitment tools

• Familiarity with technical concepts and ability to understand job requirements for engineering roles

• Prior experience hiring for frameworks/languages including (but not limited to): React, Typescript/JS, AWS, Node.js

Responsibilities:

• Develop and implement effective recruiting strategies to attract top engineering talent

• Manage the full recruitment lifecycle, from sourcing to offer negotiation

• Collaborate closely with hiring managers to understand technical requirements and team dynamics

• Screen resumes and conduct initial phone interviews to assess candidate qualifications

• Coordinate and schedule on-site or virtual interviews with candidates and hiring teamsAdminister technical assessments and coding challenges as part of the evaluation processMaintain an active pipeline of qualified candidates for current and future openingsStay up-to-date with industry trends and best practices in technical recruitingPromote LTV.ai's employer brand and values to potential candidatesEnsure a positive candidate experience throughout the recruitment process

Experience Requirements:

• 2+ years of experience in our stack

• 1+ year of experience in our industry (ecommerce / email marketing)

• Excitement about using AI coding tools to increase productivity (e.g. Cursor, Windsurf, Copilot)

Experience Requirements:

• 3+ years of experience in security engineering, DevSecOps, or infrastructure engineering with a strong security focus

Responsibilities:

• Design and implement access controls, secrets management, and network boundaries across AWS

• Lead the technical implementation of SOC 2 Type II and other compliance initiatives

• Build monitoring and alerting systems for intrusion detection, audit logging, and anomalous behavior

• Help secure our backend (Go microservices), frontend (React/TypeScript), and desktop/mobile apps

• Work with engineering to embed secure development practices into our CI/CD pipelines

Education Requirements:

• A CS degree from a top university

Experience Requirements:

• 4+ years of experience in machine learning engineering, building and deploying ML systems in a fast-paced startup environment.

• Significant experience at venture-backed startups and/or big tech companies

• Demonstrated experience in growing, building, and scaling production ML systems at high-growth startups

Responsibilities:

• design, build, and ship production ML systems that drive real-world customer impact.

• You’ll collaborate directly with customers to understand real-world data and needs.

• You’ll design retrieval and ranking pipelines, productionize LLM applications, and optimize system performance

Education Requirements:

• A CS degree from a top university

Experience Requirements:

• 2+ years of experience in full-stack engineering, building products in a fast-paced startup environment.

• Significant experience at venture-backed startups and/or big tech companies

• Demonstrated experience in growing, building, and scaling the codebase of high-growth startups

Responsibilities:

• You will own and ship products.

• You’ll talk to customers throughout the day over Teams, video and phone calls.

• You’ll listen to their needs and develop a plan based on the highest priority items.

• You’ll ship code to execute on the plan.

Education Requirements:

• A CS degree from a top university

Experience Requirements:

• 5+ years of experience in full-stack engineering, building products in a fast-paced startup environment.

• Significant experience at venture-backed startups and/or big tech companies

• Demonstrated experience in growing, building, and scaling the codebase of high-growth startups

Responsibilities:

• You will own and ship products.

• You’ll talk to customers throughout the day over Teams, video and phone calls.

• You’ll listen to their needs and develop a plan based on the highest priority items.

• You’ll ship code to execute on the plan.

Education Requirements:

• A CS degree from a top university

Experience Requirements:

• Software engineering internship experience at high-performance companies (e.g., venture-backed startups or top-tier tech companies)

Responsibilities:

• Own and ship high-impact features end-to-end

• Talk directly to customers to identify pain points and rapidly iterate on solutions

• Deploy production code frequently — often multiple times a day

• Work across our stack (Go, React/Typescript, AWS serverless) to move fast and make things real

Experience Requirements:

• 3+ years of experience in customer success, account management, or client-facing roles in a fast-paced, high-growth tech company — ideally in SaaS or legal tech.

Responsibilities:

• Build strong relationships with users — from paralegals to managing partners

• Lead onboarding and training sessions to ensure successful adoption

• Be the first line of support when issues arise — and coordinate resolution with engineering

• Proactively check in with accounts to uncover pain points, usage gaps, and upsell opportunities

Experience Requirements:

• 5+ years of experience in customer success, account management, or client-facing roles in a fast-paced, high-growth tech company — ideally in SaaS or legal tech.

Responsibilities:

• Build strong relationships with users — from paralegals to managing partners

• Lead onboarding and training sessions to ensure successful adoption

• Be the first line of support when issues arise — and coordinate resolution with engineering

• Proactively check in with accounts to uncover pain points, usage gaps, and upsell opportunities

Experience Requirements:

• 3+ years of experience in a technical customer-facing role — maybe as a solutions engineer, product specialist, or technical account manager — ideally at a fast-growing startup.

Responsibilities:

• Work closely with customers to understand their workflows and goals

• Co-design implementation plans and iterate based on usage and feedback

• Help define and execute rollouts of new features, integrations, and upgrades

• Represent the voice of the customer internally, surfacing patterns and opportunities

Experience Requirements:

• 3+ years of experience in solutions engineering, sales engineering, or technical customer-facing roles at a fast-paced B2B SaaS company.

Responsibilities:

• Own the technical relationship with prospects during evaluation and early implementation

• Run discovery sessions and collaborate on tailored deployment plans

• Deliver high-impact demos, pilots, and proofs of concept

• Answer technical questions around architecture, integration, and security

Experience Requirements:

• 5+ years of experience in solutions engineering, sales engineering, or technical customer-facing roles at a fast-paced B2B SaaS company.

Responsibilities:

• Own the technical relationship with prospects during evaluation and early implementation

• Run discovery sessions and collaborate on tailored deployment plans

• Deliver high-impact demos, pilots, and proofs of concept

• Answer technical questions around architecture, integration, and security

Experience Requirements:

• Some background or experience in the legal industry (or are excited to learn about it)

• Experience with different aspects of go-to-market: taking sales calls, lead generation, blog and social media content, live events, etc.

Responsibilities:

• Executing outbound strategies to generate new opportunities

• Taking and closing sales calls

• Creating marketing and sales enablement content

• Planning and attending conferences and dinners

• Lending a hand wherever needed, eg. with operations or recruiting

Benefits:

• competitive compensation

• attractive equity package

Other Requirements:

• Must be available to relocate and work onsite at our brand-new London office

Responsibilities:

• Developing and optimizing GPU kernels for high-performance symbolic reasoning and numerical algorithms using CUDA.

• Designing and implementing domain-specific compiler optimizations for GPU acceleration, ensuring efficient transformation and execution of symbolic computation workloads.

• Collaborating with mathematicians and researchers to design highly efficient implementations of complex algorithms.

• Analyzing and optimizing GPU performance, focusing on memory management, thread utilization, compiler-generated optimizations, and computation throughput.

• Building and maintaining scalable, reusable GPU-accelerated libraries tailored for symbolic reasoning workloads.

Benefits:

• competitive compensation

• attractive equity package

Other Requirements:

• Must be available to relocate and work onsite at our brand-new London office

Responsibilities:

• Developing and optimizing GPU kernels for high-performance symbolic reasoning and numerical algorithms using CUDA.

• Designing and implementing domain-specific compiler optimizations for GPU acceleration, ensuring efficient transformation and execution of symbolic computation workloads.

• Collaborating with mathematicians and researchers to design highly efficient implementations of complex algorithms.

• Analyzing and optimizing GPU performance, focusing on memory management, thread utilization, compiler-generated optimizations, and computation throughput.

• Building and maintaining scalable, reusable GPU-accelerated libraries tailored for symbolic reasoning workloads.

Benefits:

• competitive compensation

• attractive equity package

Other Requirements:

• Must be available to work onsite at our brand-new London office

Responsibilities:

• Developing and optimizing GPU kernels for high-performance symbolic reasoning and numerical algorithms using CUDA.

• Designing and implementing domain-specific compiler optimizations for GPU acceleration, ensuring efficient transformation and execution of symbolic computation workloads.

• Collaborating with mathematicians and researchers to design highly efficient implementations of complex algorithms.

• Analyzing and optimizing GPU performance, focusing on memory management, thread utilization, compiler-generated optimizations, and computation throughput.

• Building and maintaining scalable, reusable GPU-accelerated libraries tailored for symbolic reasoning workloads.

Benefits:

• competitive compensation

• attractive equity package

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Applied Mathematics, or a related field (PhD is a plus).

Other Requirements:

• Must be available to work onsite at our brand-new London office

Responsibilities:

• Conducting research into symbolic and categorical reasoning models, bridging abstract mathematics with machine learning.

• Translating complex theoretical insights into scalable, efficient coding implementations.

• Developing and optimizing machine learning pipelines for structured reasoning tasks, with a focus on interpretability and performance.

• Building robust experimentation platforms for large-scale training and evaluation of models.

• Collaborating with researchers to explore novel architectures and methodologies in logical reasoning and structured data.