Experience Requirements:

• 5+ years experience with Big Data Technologies such as Spark, Kafka, Lakehosue in a customer-facing, technical architecture or consulting role.

• Experience in the field of Artificial Intelligence, with a focus on NLP, Deep-Learning, chatbots and Generative AI.

Responsibilities:

• Set-up a Gen AI Lab as a service offering for the target market and build market relevant use cases as tangible evidence of Lab’s capabilities.

• Take part in high impact content creation for marketing purposes as a Thought Leader.

• Ensure customer success by increasing focus and technical accountability to customers who need guidance to accelerate adoption of Databricks Intelligence Platform, helping them maximise the value they get from platform and the return on investment.

• Act as a subject matter expert on Generative AI capabilities, presenting to clients and internal stakeholders to showcase the value proposition and potential applications.

• Serve as the primary point of contact and thought leader for Generative AI expertise within the organisation.

Responsibilities:

• Assist in developing and refining AI models under the supervision of senior AI engineers.

• Participate in the deployment of machine learning algorithms and models into production environments.

• Support the maintenance and improvement of existing AI systems.

• Engage in data pre-processing, cleaning, and analysis to prepare datasets for model training.

• Contribute to the implementation of natural language processing, computer vision, and other AI technologies.

Benefits:

• Возможность стартануть карьеру в IT

• Вы будете работать в адекватной команде где нет «начальников» t Официальное трудоустройство по букве закона

Responsibilities:

• Выявлять потребности клиентов

• Консультировать клиентов по возникающим вопросам

• Помогать клиенту решать его задачу, окружая вниманием и заботой

• Изучать функционал бот-платформы TWIN

• Тестировать работу ботов

Experience Requirements:

• AI 기술 기업 또는 B2B 산업군에서 5년 이상의 디자인 경험이 있는 분

• Adobe(photoshop, illustrator, indesign), Figma 등 주요 디자인 툴과 프레젠테이션 자료(PowerPoint 등)를 능숙하게 다룰 수 있는 분

• 기획 의도와 사용 맥락을 이해하고, 목적에 맞는 시각 언어로 효과적으로 표현할 수 있는 분

• 다양한 팀과의 협업 과정에서 명확하고 유연하게 커뮤니케이션할 수 있는 분

Responsibilities:

• 회사의 일관된 브랜드 경험 전달을 위한 디자인 가이드라인을 수립하고 실행합니다.

• 주요 전시 및 컨퍼런스에서의 기업·제품 홍보용 비주얼 아이덴티티 기획, 전시 콘텐츠 및 강연 자료를 디자인합니다.

• 기업/제품/솔루션 소개서, 백서 등 인쇄 및 디지털 기반 콘텐츠를 디자인합니다.

• 홈페이지 UI 개선 및 사용자 경험 향상을 위한 디자인 기획과 리소스 제작을 담당합니다.

• 뉴스레터, 소셜 콘텐츠, 온라인 광고 등 디지털 마케팅 콘텐츠 디자인 전반을 담당합니다.

Benefits:

• Generous equity package

• Unlimited PTO (take time when you need it)

• Top-of-market salary

• Great healthcare

Experience Requirements:

• Strong AI Applied Researcher with experience building complex AI applications.

• Experience with NLP, ML algorithms

• Experience contributing to research projects from PoC stage to production

• Experience with LLMs, Agents and RAG - Advantage

• Experience using LLMs / Deep Learning models - Advantage

Other Requirements:

• Ability to roll up your sleeves and get things done.

• A great communicator and team player.

Responsibilities:

• Research and optimization agentic flows to solve complex problems

• Participate in PoCs using bleeding edge technologies to empower our product

• Build and optimize retrieval-augmented generation (RAG) service to improve the consistency and quality of our pipelines.

• Fine tune LLMs to optimize accuracy and cost

Benefits:

• Generous equity package

• Unlimited PTO (take time when you need it)

• Top-of-market salary

• Great healthcare

Experience Requirements:

• An incredibly strong AI Applied Researcher with experience building complex AI applications.

• Experience with LLMs, Agents, RAG, NLP, ML algorithms

• Strong experience of leading research projects from PoC stage to production.

Other Requirements:

• Ability to roll up your sleeves and get things done.

• A great communicator and team player.

Responsibilities:

• Lead the research and optimization of agentic flows to solve complex problems

• Perform PoCs using bleeding edge technologies to empower our product

• Build and optimize retrieval-augmented generation (RAG) service to improve the consistency and quality of our pipelines.

• Fine tune LLMs to optimize accuracy and cost

Benefits:

• Health Insurance (Allianz)

• Stay Healthy subsidy (for gym and sports)

• Unlimited PTO

• Paid Paternity and Maternity Leave

Experience Requirements:

• 6+ years of experience in security research, threat intelligence, or vulnerability analysis.

• Experience conducting in-depth security research on emerging threats, vulnerabilities, and attack techniques.

• Strong expertise in reverse engineering, malware analysis, and exploit development.

• Deep understanding of operating system internals, network security, and cryptography.

• Familiarity with security frameworks and methodologies such as MITRE ATT&CK.

Other Requirements:

• Strong analytical skills with the ability to communicate complex security concepts effectively.

Responsibilities:

• Work closely with security teams to implement defensive capabilities and response strategies for an AI product.

• Publish research findings through technical reports, whitepapers, or at security conferences.

• Collaborate with the broader security community to share insights and best practices.

• Stay current with the latest cybersecurity trends, adversarial tactics, and defense mechanisms.

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