Experience Requirements:

• 10 years of relevant FP&A experience, with a very deep mastery of all nuances of accounting, and ideally at a fast growing B2B company

Responsibilities:

• Develop, implement and continuously refine financial models and rolling forecasts to support the company's strategic objectives and ensure flexibility in planning

• Design and implement scalable financial controls and accounting infrastructure

• Lead financial strategy and consolidated reporting across multiple business entities while ensuring regulatory compliance

• Oversee all aspects of financial operations including AR/AP, monthly bookkeeping and reconciliation

• Lead tax and compliance efforts alongside third-party vendors and partnersManage cash flow planning and optimisationPartner with cross-functional teams to provide financial insights that drive business decisionsSupport strategic initiatives, including pricing strategies and longer-term financial planningEstablish efficient processes that can scale with BFL's growth

Responsibilities:

• Develop and maintain scalable infrastructure for large-scale image and video data acquisition

• Manage and coordinate data transfers from various licensing partners

• Implement and deploy state-of-the-art ML models for data cleaning, processing, and preparation

• Implement scalable and efficient tools to visualize, cluster, and deeply understand the data

• Optimize and parallelize data processing workflows to handle billion-scale datasets efficientlyEnsure data quality, diversity, and proper annotation (including captioning) for training readinessGetting training data from alternative sources such as user preferences into trainable formatWork closely in the model development loop to update data as necessitated by the training trajectory

Responsibilities:

• Training large scale Diffusion (transformer) models for image and video

• Rigorously ablating design choices and communicating results & decisions with the broader team

• Reasoning about the speed and quality trade-offs of neural network architectures

Responsibilities:

• Design, deploy, and maintain cloud-based ML training (Slurm) and inference (Kubernetes) clusters

• Implement and manage network-based cloud file systems and blob/S3 storage solutions

• Develop and maintain Infrastructure as Code (IaC) for resource provisioning

• Implement and optimize CI/CD pipelines for ML workflows

• Design and implement custom autoscaling solutions for ML workloadsEnsure security best practices across the ML infrastructureProvide developer-friendly tools and practices for efficient ML operations

Responsibilities:

• Develop and maintain robust APIs for serving machine learning models

• Transform research models into production-ready demos and MVPs

• Optimize model inference for improved performance and scalability

• Implement and manage user preference data acquisition systems

• Ensure high availability and reliability of model serving infrastructureCollaborate with ML researchers to rapidly prototype and deploy new models

Responsibilities:

• Finding ideal training strategies (parallelism, precision trade-offs) for a variety of model sizes and compute loads

• Profiling, debugging, and optimizing single and multi-GPU operations using tools such as Nsight or stack trace viewers

• Reasoning about the speed and quality trade-offs of quantization for model inference

• Developing and improving low-level kernel optimizations for state-of-the-art inference and trainingInnovating new ideas that bring us closer to the limits of a GPU

Responsibilities:

• Run the development and training of state-of-the-art multimodal vision-language models within the FLUX technology stack

• Design and implement specialized fine-tuning strategies for VLMs to address specific use cases and performance requirements

• Develop and optimize LLM implementations for prompt enhancement, content moderation, and novel applications

Responsibilities:

• Design technical content, including documentation, tutorials, and product demonstrations and websites exposing our models.

• Create developer-focused content showcasing product capabilities across multiple channels.

• Develop sample code and integration guides.

Responsibilities:

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Benefits:

• You benefit from group-wide and international collaboration.

• Our corporate culture is open and communicative.

• We support your professional development.

• We offer performance-based compensation.

• Our working hours are flexible and adjusted pragmatically to workload demands.

Education Requirements:

• Master’s degree or PhD in engineering or science (or equivalent experience)

Experience Requirements:

• Extensive background in identifying, applying for, and securing third-party public and private funding for engineering or scientific R&D projects with a proven track record of successfully acquiring and managing external funding.

• Demonstrated ability to build and maintain strategic partnerships with universities, research institutes, catapult centers, startups, and industry collaborators

• Strong project management skills, with the ability to coordinate multiple funding applications, ongoing funded projects and partners simultaneously as well as the ability to monitor and report on the status of active grants and partnerships.

• Strong analytical and problem-solving abilities, particularly in designing fundable project proposals and navigating funding regulations.

• Excellent communication (written and verbal) and negotiation skills and ability to work independently and collaboratively in a fast-paced, cross-functional environment.

Other Requirements:

• Profound German and English skills (ideally CEFR level “C2”)

Responsibilities:

• Secure funding for Körber's R&D initiatives by identifying opportunities, designing proposals, and ensuring compliance

• Build and manage a network of external partners for collaborative research

• Act as the main liaison between internal and external stakeholders

• Support cross-functional teams in meeting project funding requirements

• Research and identify national and international funding opportunities (both public and private)

Experience Requirements:

• A minimum of 500 hours of one-on-one coaching experience and for this specific role within our coaching bench 1-2 years of specifically coaching teams from 2-30 people distinct from running training or workshops.

• 12 months plus experience running your own professional established freelance coaching (or other) business already working with clients, adding Marlee to your small curated coaching partners you work with

Other Requirements:

• Holding one of the following credentials: Professional Certified Coach (PCC) or Master Certified Coach (MCC) or Similar credential with another international coaching credentialling body such as MCF etc.

• Membership with the ICF

• Public Liability Insurance (at a limit of no less than $5million AUD) and Professional Indemnity Insurance (at a limit of $2million AUD)

Responsibilities:

• Our coaches combine human expertise with Marlee's motivation science to empower individuals, teams and organizations.

• If selected you will join a highly curated and trusted circle of master coaches serving some of the most exciting humans and companies in the world.

• This particular opportunity is for Sydney-based Team Coaches - those familiar and experienced in working with teams and coaching them to a goal-based program

Education Requirements:

• Bachelor’s degree in Computer Science, Information Technology, or a related field

Experience Requirements:

• Proven experience as a Full Stack Developer or similar role

Other Requirements:

• Strong proficiency in JavaScript, including ES6+ syntax

• Hands-on experience with MongoDB, Express.js, React.js, and Node.js

• Familiarity with front-end technologies such as HTML5, CSS3, and Bootstrap

• Experience with version control systems like Git

• Knowledge of RESTful APIs and web services

• Understanding of Agile/Scrum development methodologies

• Excellent problem-solving skills and attention to detail

• Strong communication and teamwork abilities

Responsibilities:

• Design, develop, and maintain robust web applications utilizing MongoDB, Express.js, React.js, and Node.js

• Collaborate closely with product managers, designers, and fellow developers to deliver high-quality, user-friendly solutions

• Develop and integrate RESTful APIs to support application functionality

• Ensure the responsiveness, scalability, and performance of applications

• Identify and resolve issues across the full stack, from database to UI

Experience Requirements:

• Python: 5+ years

• PyTorch, NumPy: 3+ years

• Experience with OpenCV and similar tools and libraries if the candidate is focused on computer vision

• Experience with NLTK and similar tools and libraries if the candidate is focused on natural language processing

• Other tools and libraries: Scipy, Pandas, Scikit-learn, Matplotlib, Plotly, Dash by Plotly, Flask, SQLAlchemy, Redis, ...

Benefits:

• Competitive compensation and share options

• Private healthcare and mental health support

• Flexible time off

• Learning and development

• Family leave (26 weeks fully paid for birthing parents/primary caregivers, 17 weeks for non-birthing parents/partners)

Experience Requirements:

• 2-3 years working within FP&A, with 1 year being in SaaS

Other Requirements:

• Passionate about financial planning, structure, and insights

• Able to manage, influence and present to key stakeholders including C-level executives

• Structured and coordinated in the way you work, excellent attention to detail and accuracy

• Experienced working in the technology industry

• Strong communicator and flawless presentation skills

• Keen to navigate a scale-up environment

• Looking to develop the way the team and Paddle operates

Responsibilities:

• Own and lead the reporting and forecasting for designated business areas

• Ensure sound control over Paddle’s operating expenses

• Maintain and expand monthly financial and operational reporting

• Collaborate in workforce planning

• Respond to financial queries from business functions

Benefits:

• Attractive salaries

• Stock options

• Retirement plans

• Private healthcare and well-being initiatives

• Unlimited holidays and enhanced parental leave

Experience Requirements:

• Minimum of 6-7 years of legal experience at a law firm and/or in-house, with a minimum of 3 years in a tech scale-up preferably in payments, FinTech, SaaS or related sectors

• English solicitor (preferably) or qualified in another common law or European jurisdiction

• Experience in managing and leading teams of lawyers and / or paralegals

Other Requirements:

• Curious, keen to learn and have a proven ability to quickly get across new and complex legal concepts

• Used to working from first principles, applying common sense

• Energized by the prospect of owning your own projects

• Driven, able to work independently, and a pleasure to work with

• Excellent and persuasive communicator

• Commercially minded and able to deliver creative, helpful and practical solutions

Responsibilities:

• Support the General Counsel in their duties and advise and partner with every team from across the business

• Lead, manage and mentor a small team of junior lawyers and paralegals

• Draft and negotiate a range of commercial contracts

• Draft, negotiate, and advise on data protection agreements

• Assist teams across the business in identifying potential issues and risks and collaborate with the relevant stakeholders to manage them

Benefits:

• Attractive salaries

• Stock options

• Retirement plans

• Private healthcare and well-being initiatives

• Unlimited holidays and enhanced parental leave

Experience Requirements:

• Exceptional research and writing skills

• A strategic thinker with the ability to drive GTM plans

• Strong critical thinking mindset

• Ability to collaborate effectively with people across all levels and functions

• Experience producing content across formats and working with different kinds of creatives

Other Requirements:

• Experience in SaaS or Fintech with a background in content or growth marketing

• Fast learner and have an appetite for fast-paced work

• Experience in competitive intelligence and analysis

Responsibilities:

• Work with the Head of Product Marketing to implement a comprehensive product marketing strategy

• Define the value proposition of our products and develop messaging

• Serve as a key liaison between the product management team and the marketing team

• Collaborate with various teams

• Conduct comprehensive market research and gather customer insights

Benefits:

• Attractive salaries

• Stock options

• Retirement plans

• Private healthcare and well-being initiatives

• Unlimited holidays and enhanced parental leave

Experience Requirements:

• Excited by, and have specific experience in, building products that handle payments, transfers, and financial reconciliation

• Comfortable working closely with financial, risk, and legal stakeholders

• Product Manager who enjoys working in cross-functional teams

• Enjoy working in a high velocity & dynamic startup environment

• Worked in a SaaS environment and have created engaging and thoughtful customer experiences

Other Requirements:

• Enjoy getting into the details and understanding the mechanics of money movements

• Good understanding of technical concepts and can work closely with engineers

Responsibilities:

• Identify opportunities

• Shape the roadmap

• Ship value often

• User Testing

• Measurement and reporting

Benefits:

• Attractive salaries

• Stock options

• Retirement plans

• Private healthcare and well-being initiatives

• Unlimited holidays and enhanced parental leave

Experience Requirements:

• Advanced SQL and data modeling skills, including experience with dbt and data warehousing solutions

• Good knowledge of database management systems

• Experience working with orchestration frameworks, like Airflow

• Experience with CI/CD pipelines

• Experience with cloud-based platforms

Other Requirements:

• Experience with data integration tools

• Familiarity with BI tools

• Strong attention to detail

• Strong collaboration and communication skills

Responsibilities:

• Build and maintain efficient, secure data pipelines

• Develop and maintain data models

• Collaborate with cross-functional teams

• Assist internal teams with operational data support requests

• Use various techniques to transform raw data into analytics-ready datasets

Benefits:

• Attractive salaries

• Stock options

• Retirement plans

• Private healthcare and well-being initiatives

• Unlimited holidays and enhanced parental leave

Experience Requirements:

• Solid development background with Go

• Experience designing and building systems to handle high traffic at scale in a cloud-based environment in AWS

• Enjoy collaborating with technical and non-technical departments

• Strong understanding of the development process

Other Requirements:

• Proactive attitude towards finding ways to improve the code and team processes

• Take pride in what you build

• Interested in what new tools and techniques you could introduce

Responsibilities:

• Be a part of our Payments and Checkout group

• Contribute high-quality Go code

• Collaborate on features

• Level-up the team’s engineering practices

• Help to continuously improve the reliability and scalability

Benefits:

• Remote/Hybrid Work

• Well Being

• Paid PTO

• Health Care/ Retirement Benefit

Education Requirements:

• Bachelor’s degree in Law or related field; Master’s degree preferred

Experience Requirements:

• A minimum of five years of experience in a privacy-focused role, with substantial exposure to the sectors we serve

Responsibilities:

• Ensure all our products and services comply with international and domestic privacy and data protection laws.

• Collaborate with our product team to design and implement state-of-the-art data privacy tools.

• Lead strategic privacy initiatives, providing direction and insight that propel our privacy framework forward.

• Collaborate with cross-functional teams to integrate privacy by design into new and existing products.

• Monitor industry trends and adjust strategies to mitigate risks associated with data privacy