Education Requirements:

• Degree level education or equivalent.

Experience Requirements:

• Strong and proven track record in Sales in more than one field with specific experience at hospital CEO/management level.

• Proven ability to target key accounts and management in the territory and identify market potential.

• Experience in Healthcare IT and high-end solution sales.

Other Requirements:

• Tremendous drive and passion with intense desire for success.

• Aspirations to grow and lead a rapidly growing sales team.

• Fluent in English, verbal and written.

• Willing to undertake significant travel.

Responsibilities:

• Accountable for maximizing revenue within the region.

• Drive Senior Level visibility with frequent customer engagements.

• Maintain superior relationships with senior level stakeholders.

• Responsible for maintaining accurate account, opportunity and funnel data.

• Strong ability to analyze won deals, expectations, customer satisfaction (NPS), market, competition and trends and communicate winning tactics with colleagues.

Education Requirements:

• Bachelor’s degree or higher – (Degree in business or MBA – preferred).

Experience Requirements:

• At least **7 years’ marketing management experience** in a technology company.

• Experience in a **high growth start-up environment** \-( in a healthcare field – preferred).

• Excellent writing skills in English.

Other Requirements:

• International experience – preferred.

• A storyteller with smart copywriting skills, experience with briefing agencies and ability to provide art and creative direction.

• Occasional travel is expected as part of the position.

• Hybrid position

• *We are an equal opportunity employer and committed to creating a friendly, inclusive environment that is a pleasure to work in, and where there is an unbiased acceptance of others

Responsibilities:

• Support the planning and execution of the company’s marketing strategy, e.g. through branding, positioning and developing value proposition and messaging.

• Acquire an in-depth understanding of customer pain-points as well as the science and technology behind the company’s offering and translate them into compelling marketing material that engages physicians and other target audience.

• Create content and collateral (e.g. clinical presentations, articles, blogs, case studies and videos). Engage and collaborate with relevant stakeholders from content ideation through production, execution and distribution.

• Lead Ibex’s participation in clinical meetings, conferences and other events, align preparation with inbound and outbound stakeholders and own the marketing calendar.

• Own the company’s online assets (website, social media etc.). Lead campaigns and promotional activities, optimize engagement with target audience and Ibex’s digital footprint.

Benefits:

• Innovative Environment

• Professional Growth

• Collaborative Culture

• Work-Life Balance

• Competitive Compensation

Benefits:

• Innovative Environment

• Professional Growth

• Collaborative Culture

• Work-Life Balance

• Competitive Compensation

Benefits:

• Innovative Environment

• Professional Growth

• Collaborative Culture

• Work-Life Balance

• Competitive Compensation

Benefits:

• Innovative Environment

• Professional Growth

• Collaborative Culture

• Work-Life Balance

• Competitive Compensation

Benefits:

• Innovative Environment

• Professional Growth

• Collaborative Culture

• Work-Life Balance

• Competitive Compensation

Benefits:

• Innovative Environment

• Professional Growth

• Collaborative Culture

• Work-Life Balance

• Competitive Compensation

Other Requirements:

• PhD Required

Other Requirements:

• PhD Required

Benefits:

• Great Tech Stack

• Great Training

• Career Progression

• High Quota Attainment

Benefits:

• Great Tech Stack

• High OTE

• Career Progression

Responsibilities:

• Fine-tune both general-purpose and specialized models to align with specific use-case requirements.

• Design post-training datasets and develop rigorous evaluation frameworks to target and quantify model improvements.

• Participate in post-training research discussions and collaborate with cross-functional teams to translate novel ideas into practice.

Responsibilities:

• Design, develop, and maintain scalable data pipelines for large-scale multimodal and text-based foundation model training.

• Curate, clean, and validate diverse real-world datasets, ensuring high data quality and relevance.

• Develop and optimize data preprocessing models for automated cleaning, augmentation, and filtering.

• Implement robust data evaluation and benchmarking strategies to assess dataset quality and model impact.

• Develop scalable tools and frameworks for data ingestion, transformation, and annotation.

Responsibilities:

• Strong ML Experience: Proficiency in Python and PyTorch to effectively interface with the ML team at a deeply technical level.

• Hardware Awareness: Must understand modern hardware architecture, including cache hierarchies and memory access patterns, and their impact on performance.

• Optimization of Low-Level Primitives: Responsible for optimizing core primitives to ensure efficient model execution.

• Self-Guided and Ownership: Ability to independently take a PyTorch model and inference requirements and deliver a fully optimized edge inference stack with minimal guidance

Responsibilities:

• Create and maintain data cleaning, filtering, selection pipeline that can handle audio-text data.

• Watch out for the release of public high quality audio (ASR and SFT) datasets.

• Create and maintain synthetic data generation pipeline to create task-specific audio SFT data.

• Work with the multimodal audio team to run ablations on new dataset.

Responsibilities:

• Own the complete deployment journey - from model customization to serving infrastructure, ensuring our solutions work flawlessly in variable customer environments,.

• Deploy AI systems to solve use cases others can not - implementing solutions that push beyond base LFMs can deliver and redefine what's possible with our technology

• Work alongside our core engineering team to leverage and enhance our powerful toolkit of Liquid infrastructure

Benefits:

• Company paid medical healthcare (dental vision & mental)

• Paid Leave — 20 days of holiday for every team member per year (26 days after two years)

• 401K with employer matching

• Gym Membership Reimbursement

• Flexible working hours

Experience Requirements:

• At least 7 years of professional experience as a programmer within the games industry.

Responsibilities:

• Work closely with quest and cinematic designers to understand their needs and ensure the tools meet the creative and technical goals.

• Build and maintain story related plugins.

• Ensure tools run efficiently without sacrificing performance, maintaining smooth workflows for the design team.

• Write high-quality code that is optimised, bug-free, and aligned with project goals.

• Foster cross-functional collaboration to ensure the tools contribute effectively to all game systems and components.

Education Requirements:

• Bachelor’s degree in Computer Science, Electrical Engineering, or Materials Science; Master’s is a plus

Experience Requirements:

• 3-5 years of experience working as a hardware consultant, circuit design engineer, or electrical/software engineer

Responsibilities:

• Analyze hardware and software systems and present summary findings to clients

• Assess the originality, similarity, and differences between multiple hardware and software systems

• Reverse engineer software applications and review semiconductor teardown reports to analyze key features and functionalities

• Evaluate the complexity and value of software and hardware developed

• Draft documents describing the functionality and behavior of hardware and software systems against legal claims

Education Requirements:

• Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or related technical field; Master’s or PhD is a plus

Experience Requirements:

• 4-6 years of relevant professional experience in Machine Learning, NLP, or software development focused on AI systems