Experience Requirements:

• 4-8 years of experience in recruiting, with a strong focus on GTM roles (Sales, Marketing, Customer Success, and Partnerships).

Responsibilities:

• Manage the full-cycle recruitment process for GTM roles across the US and international markets, from job requisition to onboarding.

• Identify and engage top talent through various channels, including LinkedIn, job boards, professional networks, and referrals.

• Partner with hiring managers and leadership teams to understand hiring needs, define role requirements, and align on recruitment strategies.

Responsibilities:

• Effortless brief creation

• Market trend insights

• Competitor analysis

• Innovative idea generation

• Project management and execution

Benefits:

• Coaching

• Amazon Kindle

• Amazon free library

• English lessons

• SZÉP Card Medicover insurance Bicycle Nursery support Eyeglass allowance Sport tickets

Experience Requirements:

• 3+ years of PM experience

Responsibilities:

• Analyze product data and session recordings to uncover pain points, identify opportunities, drive product adoption.

• Lead agile rituals (standups, planning, reviews, retrospectives).

• Coordinate product discovery, delivery, and GTM with design, engineering, QA and success teams.

• Document product requirements, user stories, and QA issues.

• Collaborate with leadership on planning and strategy. Own and prioritize the product backlog and roadmap. Participate in English and Hungarian language customer meetings. Stay up-to-date on competitors, industry trends, and PM practices

Benefits:

• Training budget

• Medicover-White card

• Glasses

• SZÉP card

• ESOP Phone support Awsomeness awards Flexible work hours Win a StarCraft game & get a MacBook

Experience Requirements:

• Customer Success Experience

• L1 support experience

Responsibilities:

• Client Communication: Build strong relationships with B2B clients, ensuring their success and satisfaction

• Technical Support: Provide Level 1 support, resolving customer issues efficiently

• CRO Enthusiasm: Help enhance clients’ online performance with conversion optimization insights

• Sales Skills: Spot upsell and cross-sell opportunities to drive business growth

Benefits:

• Training budget

• Medicover-White card

• Glasses

• SZÉP card

• ESOP Phone support Awsomeness awards Flexible work hours Win a StarCraft game & get a MacBook

Experience Requirements:

• Marketing experience

Responsibilities:

• Implement CRO-focused ecommerce campaigns using OptiMonk to enhance website performance and increase conversion rates for our clients Execute A/B and multivariate tests to optimize conversion funnels Monitor and analyze website performance using web analytics tools Generate reports and present findings to clients on the impact of our optimization efforts Work closely with marketing, design, and development teams to implement optimization strategies Provide data-driven recommendations to continuously improve conversion rates

Education Requirements:

• BA/BS

• Masters

• PhD or equivalent practical experience

Experience Requirements:

• 10+ years experience playing a key role in the successful development and launch of a deep tech product

• Experience building innovative technologies in cross-functional & cross-technology settings

• Both startup experience during various stages of the company’s growth (or lifecycle) while also having an understanding around the complexities and nuances of operating within a large corporation

• Comfort and experience with ambiguous, early-stage projects. Ability to create and grow ideas into viable businesses from the chaotic ground up

• Able to effectively communicate both technical and non-technical information to mixed audiences.

Responsibilities:

• Proposing, assessing, and synthesising new X moonshot investigations

• Develop and evolve project strategy, including offering definition / roadmap, team priorities, and go-to-market plans.

• Perform techno-economic analysis and feasibility analysis

• Craft moonshot proposals with technical experts

• Lead small technical teams composed of internal or external experts to further the state of the art and build proof of concepts

Education Requirements:

• Ph.D. or Masters Degree in Computer Science, Machine Learning, or a related field.

Experience Requirements:

• At least 3 years of industry experience in a software engineering role

• Experience in AI infrastructure: building scalable data pipelines, inference servers, monitoring services, and more

• Deep understanding of ML pipelines, algorithms, and best practices for model development, deployment, and monitoring

• Strong background in deep learning concepts, architectures (e.g., Transformers, LLMs, GANs, etc.), and training techniques (e.g., Fine-tuning, self-supervised learning, transfer learning, etc.)

• Understanding of cloud platforms like GCP and infrastructure-as-code tools like Terraform and MLOps platforms like Kubeflow.

Responsibilities:

• Build and scale robust AI/ML cloud infrastructure for training, validation, and inference

• Create a smooth, efficient MLOps flow for staging, deploying and monitoring AI pipelines

• Create data pipelines, clean data, and generate synthetic datasets

• Train and validate models, using modern approaches including supervised fine tuning, retrieval augmented generation, parameter efficient fine-tuning, and more

• Actively collaborate with cross-functional teams, domain experts, and end users to refine product needs and ensure impactful technology solutions.

Education Requirements:

• Ph.D. or Masters Degree in Computer Science, Machine Learning, or a related field or equivalent applied research experience.

Experience Requirements:

• At least 3 years of industry experience in a software engineering role

• Deep understanding of ML pipelines, algorithms, and best practices for model development, deployment, and monitoring

• Strong background in deep learning concepts, architectures (e.g., Transformers, LLMs, GANs, etc.), and training techniques (e.g., Fine-tuning, self-supervised learning, transfer learning, etc.).

• Expertise and hands on experience with generative AI approaches: SFT, RAG, DPO, RLHF, etc.

• Experience in AI infrastructure: building scalable data pipelines, inference servers, monitoring services, and more

Responsibilities:

• Develop cutting edge generative AI approaches for challenging 3D data types

• Create data pipelines, clean data, and generate synthetic datasets

• Train and validate models, using modern approaches including supervised fine tuning, retrieval augmented generation, parameter efficient fine-tuning, and more

• Deploy, monitor and iterate!

• Actively collaborate with cross-functional teams, domain experts, and end users to refine product needs and ensure impactful technology solutions.

Education Requirements:

• Bachelors/Masters in Computer Science, or equivalent practical experience

Experience Requirements:

• Experience applying machine learning for computer vision/image processing or time-series forecasting; will also consider DL experience with geospatial data, graph data

• 5-8 years of experience with developing ML models, or a PhD degree in a relevant field with 2+ years of industry experience

• 3 years of experience with Python, Golang, or other equivalent languages

Responsibilities:

• Explore, apply, and innovate state-of-the-art machine learning techniques to solve real-world problems on the electric grid

• Explore and de-risk novel technologies to extract data from unlikely sources

• Lead the design and implementation of ML data platforms and service frameworks

• Design and implement robust, automated, production-level software using horizontally scalable components

• Work effectively with cross-functional teams of engineers, product managers, and domain experts

Benefits:

• Competitive salary

• equity

• benefits

Responsibilities:

• Develop key features for the Diagon Marketplace, focusing on both front-end and back-end development.

• Collaborate with cross-functional teams, including product, design, and operations, to deliver user-centric solutions.

• Optimize and integrate AI-powered tools to improve product listings and marketplace efficiency.

• Take ownership of technical decisions, balancing performance, usability, and long-term maintainability.

• Work across the stack, from interactive UI components (React/Next.js) to server-side logic (Server Actions, PostgreSQL, Prisma).

Education Requirements:

• Bachelor's degree in Supply Chain Management, Business Administration, Engineering, or related field.

Experience Requirements:

• Proven experience in capital equipment procurement within a manufacturing environment.

Responsibilities:

• Manage the procurement process from initial purchase requisition to delivery and installation.

• Identify, evaluate, and select suppliers for capital equipment purchases.

• Negotiate pricing, terms, & contracts to ensure cost-effectiveness & quality standards.

• Collaborate with all stakeholders to determine equipment specifications and requirements.

Experience Requirements:

• 3 years of experience/knowledge in device modeling and TCAD simulation

Other Requirements:

• Understanding of semiconductor device physics

• Knowledge in Synopsys TCAD tools

• Willingness to learn new technologies and tools, and apply them quickly

• Knowledge in Verilog-A and Spectre simulations

• Semiconductor process/fabrication knowledge

• Process simulation in TCAD tools

Responsibilities:

• TCAD simulation

• Setting up Verilog-A & Spectre models, and simulation of these

• Simplification of mathematical device models for faster simulation

• Process engineering to fabricate these devices in R&D and volume fabs

Benefits:

• Health insurance

• Career growth opportunities

• Access to training, events, and conferences

• Free coffee

• Arcade machines

Education Requirements:

• Bachelor’s degree in Computer Science, Business, Engineering, or equivalent experience.

Experience Requirements:

• 5+ years in pre-sales, business development, or similar roles in tech.

• Technical expertise in at least one of Visor.ai’s core areas: AI, data science, software engineering.

• Strong knowledge of cloud contact centers and automation software.

• Experience with API integrations, web services, and AWS Cloud.

Other Requirements:

• Native in Portuguese and fluent in English & Spanish.

Responsibilities:

• Define & optimize the pre-sales process for efficiency and accuracy.

• Understand client needs, identify potential challenges, and propose solutions.

• Collaborate with engineering teams to tailor products to customer requirements.

• Provide technical expertise and support in demonstrations of new products.

• Assist in proposal preparation, aligning solutions with client needs.

Experience Requirements:

• 경력 3~8년

Responsibilities:

• 제품 기능 요구사항 기반 테스트 시나리오 작성 및 수행

• 자동화 테스트 도구를 활용한 반복 검증 프로세스 설계

• 다국어(Localization) 기능 테스트

• 의료 영상 기반 UI 및 워크플로우에 대한 검증

• 테스트 결과 문서화 및 결함 리포팅

Experience Requirements:

• 3년 이상의 SW 개발 경력을 갖추신 분

• 컴퓨터 공학 전공자 혹은 이에 준하는 이론 지식을 갖추신 분

Responsibilities:

• AI Solution 을 활용한 Inference 서비스 개발

• PACS 연동 및 Gateway 개발

• Worklist GUI 개발

Experience Requirements:

• 경력 0~3년

Responsibilities:

• 기술 문제 발생 시 신속한 분석 및 해결

• 의료기관 및 파트너와의 기술 요구사항 조율 및 협업

• 사용자 피드백 수집 및 분석을 통한 제품 개선

• DICOM 프로토콜을 활용한 PACS 연동 등 설치 프로세스 설계 및 최적화

• 기술 문서 작성 및 관리 (예: 설치 매뉴얼, H/W & S/W 스펙, DICOM conformance statement 등)

Experience Requirements:

• 3년 미만 Sales Operation 또는 Inside Sales 경력

Responsibilities:

• 영업 데이터 관리 및 분석

• 영업 프로세스 최적화

• 계약 및 자산관리 지원

Benefits:

• Competitive pay with benefits: employment contract or B2B co-operation

• Fully remote working environment

• A continuous improvement environment, with 10% of your time dedicated to self-development and professional growth activities

• Exceptional conditions for growth: regular brown-bag meetings, workshops, hackathons, trainings and conferences (with a dedicated budget)

• Unique company culture based on mutual trust, honest feedback and autonomy

Responsibilities:

• primarily work on designing and building integrations with EHR systems for the US market

• collaborate with teammates on integration setups

• work closely with external providers and customers to integrate their systems smoothly

Education Requirements:

• Bachelor's or Master's degree in a relevant field (e.g., Environmental Science, Computer Science, Data Science, Engineering, or related field).

Experience Requirements:

• Proven experience in a solutions architect, technical sales, and/or technical account management roles in enterprise software companies (AI, geospatial, data infrastructure preferred).

Benefits:

• Medical insurance

• Vision insurance

• Dental insurance

• 401(k)

• Paid paternity leave, work-life balance support, flexible hours

Education Requirements:

• Chemistry, engineering or other related science degree

Experience Requirements:

• A self-starter with proven critical thinking, problem solving skills and attention to detail

Other Requirements:

• Proficiency in MS Office

• Strong communication skills both written and verbal

• Quick learner, coachable and adaptable; must be able to retain and apply new information quickly

• Strong demonstrated ability to research

Responsibilities:

• Develop formulas, product specifications, processing parameters and create functionality studies for new maintenance chemicals.

• Conduct field trials and collaborate with internal and external customers to evaluate new products/system performance, assist in preparation of reports/presentations.

• Develop standard operating procedures, compatibility studies and evaluation of new equipment.

• Oversee the testing of physical attributes, stability, and performance of products.

• Recognize early failures and discuss with program leader.