Benefits:

• Brain (intellectual value)

• Heart (team empathy)

• Gut (innovation)

• Taste (aesthetics)

Education Requirements:

• Bachelor’s degree or above, preferably in Computer Science

Experience Requirements:

• Experience in mobile testing (server-side and client-side)

• Familiarity with testing workflows for AI or gaming tools

• Proficiency in testing tools and methodologies

• Ability to perform issue localization (packet sniffing, log analysis)

• Familiarity with relational databases such as MySQL

Other Requirements:

• Excellent communication skills and team spirit

Responsibilities:

• Develop test plans and design test cases for 3D AI products

• Conduct comprehensive testing on functionality and stability

• Test user experience and optimize user journey

• Communicate with development to assist in defect resolution

• Participate in design reviews and risk assessments

Benefits:

• Equity program

• 401(k) retirement plan with company matching

• Health, dental, and vision

• Flexible Spending Accounts

• Paid parental leave

Experience Requirements:

• at least 2 years of customer service experience

Other Requirements:

• Authorized to work in the United States

• Post-offer criminal background check and agency suitability clearance

• Experience in eDiscovery (plus)

Responsibilities:

• Answering client questions via phone and email

• Teaching product functionality

• Troubleshooting technical issues

• Solving complex client tickets

• Developing a strong relationship with the Product and Engineering teams

Benefits:

• 30 days of vacation

• Beneficial bike lease

• Inhouse gym

• Gadget-and-phone package

• 5000 SEK wellness allowance

Experience Requirements:

• Working with SQL databases

• Experience with Azure

• Familiar with large-scale systems

• Experience with SaaS platforms (bonus)

Other Requirements:

• Understand event-driven systems

• Proficient in C# and SQL

• Right to work in the EU

Responsibilities:

• Expand and optimize message services

• System monitoring and troubleshooting

• Work across the stack (Aurelia to SQL)

• Proactively resolve performance bottlenecks

• Participate in design and implementation discussions

Benefits:

• Experience in emerging AI compliance field

• Technology exposure to OpenAI, Anthropic, Google Gemini

• Professional growth in AI governance

• Impactful work for top brokers and fund managers

• Competitive benefits and flexible work arrangements

Experience Requirements:

• Experience in compliance roles within wealth management, banking, or financial services

• Familiarity with financial regulations such as ASIC requirements

• Interest in learning about AI governance frameworks

Other Requirements:

• Detail-Oriented Professional

• Collaborative Team Player

• Adaptable Learner

• Clear Communicator

Responsibilities:

• Support compliance operations and procedures

• Participate in AI monitoring and testing protocols

• Help prepare compliance reports and assist with audits

• Support data protection initiatives and privacy standards

• Maintain accurate compliance records and documentation

Benefits:

• Unlimited budget for best-in-class AI productivity tools

• Impactful work in AI-driven finance

• Autonomy and flexibility in choosing tools

• Vibrant culture at the Maroochydore office

• Support for experimenting with latest AI innovations

Experience Requirements:

• Experience with Golang or a similar backend language

• Experience with Python, React, and AWS

• Experience driving projects from start to finish

Other Requirements:

• AI Curious and excited about new development tools

• Communicative and Collaborative

• Ownership Mindset

• Adaptable to rapid AI evolution

Responsibilities:

• Develop Golang APIs, Python pipelines, and React front-ends

• Leverage LLMs and AI-powered productivity tools in development

• Manage AWS environments for scalability and security

• Collaborate with product, design, and data teams

• Embrace emerging AI trends and help shape the roadmap

Benefits:

• Mission-critical role at a rapidly expanding firm

• Collaborate with teams using cutting-edge LLMs

• Growth and impact on company strategy and culture

• Dynamic team environment on the Sunshine Coast

• Comprehensive benefits and flexible work arrangements

Experience Requirements:

• Solid track record in a senior compliance role in finance or fintech

• Deep knowledge of regulations such as ASIC, FINRA, or GDPR

• Ability to interpret and apply rules to emerging AI technologies

Other Requirements:

• Strategic Thinker balancing risk and innovation

• Collaborative Communicator

• Detail-Oriented with skill in spotting nuanced risks

Responsibilities:

• Develop and oversee compliance policies for AI-based solutions

• Engage with regulatory bodies, brokers, and external stakeholders

• Oversee monitoring of AI activities across the platform

• Work with clients to clarify requirements and respond to audits

• Ensure robust data governance and privacy standards

Benefits:

• Lead a holistic design vision using AI power

• Growth and learning with cutting-edge AI tools

• Creative autonomy in crafting strategies and narratives

• Purposeful mission building responsible AI solutions

• Collaborative environment with diverse teams

Experience Requirements:

• 6+ years in product design, UI/UX, or related field

• Experience in brand strategy

• Cross-functional design leadership experience

Other Requirements:

• Adaptable and curious about AI/LLM integration

• Skilled Storyteller for stakeholders

• Organized and Operational

• Collaborative and Proactive

Responsibilities:

• Oversee design solutions across brand and product environments

• Collaborate with marketing, research, and engineering teams

• Translate complex ideas into engaging visuals and stories

• Establish design frameworks and streamline workflows

• Mentor and guide the design team

Benefits:

• Ownership and autonomy over the product lifecycle

• Access to cutting-edge AI tools for experimentation

• Growth environment where experimentation is encouraged

• Meaningful impact on AI financial solutions

• Collaborative culture with valued work-life balance

Experience Requirements:

• Track record of managing products from ideation to launch

• Experience in SaaS or AI domains is preferred

• Skilled at leveraging metrics and user insights

Other Requirements:

• Data-Driven decision maker

• Effective Communicator and vision champion

• Organized and Detail-Oriented

• Curious Innovator enthusiastic about AI

Responsibilities:

• Develop a clear product roadmap for AI-driven goals

• Partner with engineering, design, and data teams

• Conduct market research and analyze competitor offerings

• Prioritize features using data-informed insights

• Lead end-to-end release cycles from concept to launch

Benefits:

• Competitive compensation and meaningful equity

• Top tier health, dental, and vision insurance

• 401k plus matching

• Potential to quickly grow into an account executive role

• Flexibility to work remote or in SF HQ

Experience Requirements:

• 12+ months in an outbound SDR role at a B2B SaaS company

• Experience prospecting into C-suite and Leadership roles for B2B eCommerce and SaaS companies

• Comfortable leading with the phone as much as email and LinkedIn

Other Requirements:

• Self-starter with urgency and the ability to work within undefined processes

• Excellent problem solving, organizational skills, and attention to detail

Responsibilities:

• Own outbound pipeline generation for territory and AE partners

• Conduct thoughtful account research to craft relevant, high-converting messaging

• Build and test multi-channel prospecting motions across phone, email, LinkedIn, and video

• Partner with AEs to identify target accounts and refine ICPs

• Consistently schedule high-quality meetings that convert to revenue

Benefits:

• Health Care Coverage

• Education Reimbursement

• Competitive Paid Time Off

• Self-Care Days

• Parental Leave

Education Requirements:

• Bachelor’s degree in Marketing, Business, Communications, or a related field

Experience Requirements:

• 2–4 years of B2B marketing experience

Other Requirements:

• Native or fluent proficiency in English

• Experience with Salesforce Marketing Cloud Account Engagement (Pardot)

• Ability to flex schedule to support UK and Australia time zones

Responsibilities:

• Gather market intelligence on the education landscape

• Activate regional demand generation campaigns across digital channels

• Support delivery of webinars, in-person events, and sponsorships

• Collaborate with sales teams to tailor campaigns to target segments

• Track key marketing KPIs including MQLs and lead conversion

Benefits:

• Health Care Coverage

• Education Reimbursement

• Competitive Paid Time Off

• 4 Self-Care Days per year

• Parental Leave

Experience Requirements:

• At least 4 years of experience in data engineering

Other Requirements:

• Proficiency in Python, SQL, and Infrastructure as Code (Terraform)

• Proficiency with AWS/Azure/GCP and vector databases

• Experience with MLOps tools and model deployment pipelines

• Experience with LLMs, embeddings, and RAG systems

Responsibilities:

• Design and build scalable real-time data pipelines for AI model training

• Execute initiatives for collecting and storing data from sources including LLMs

• Partner with AI R&D and Data Platform teams for data flow

• Provide support to AI Research & Development using data warehousing

• Stay current with emerging tools in AI data engineering

Benefits:

• Fully remote

• Three offsites per year

• 38 paid days off

• Competitive salary + generous equity

• Personal development stipend

Experience Requirements:

• 3+ years building production software

• Founded or co-founded a tech company

Other Requirements:

• Proficiency in Python, React, and React Native

• Power user of AI tools (Claude Code, Cursor, Codex)

• Comfortable in cloud ops, CI pipelines, and mobile

• Can explain technical trade-offs to non-engineers

Responsibilities:

• Talk to customers and understand requirements

• Decide what to build and ship product

• Measure feature success

• Design and own features end-to-end

• Write production-grade backend and frontend code

Benefits:

• Fully remote

• Three off-sites per year

• Competitive pay and stock options

• 38 paid days off annually

• Personal-development stipend

Experience Requirements:

• 6+ years experience

• Experience debugging production issues using logs and metrics

Other Requirements:

• Proficiency in SQL (PostgreSQL)

• Familiarity with Python and React/JavaScript

• Strong written communication

• Bias for action and ownership

Responsibilities:

• Field incoming support requests

• Identify, reproduce, and help resolve bugs

• Maintain observability and support tooling

• Triage issues across backend, frontend, and mobile

• Contribute documentation and code snippets

Benefits:

• Competitive salary package

• Stock options

• Opportunity to work at a rapidly growing Voice AI startup

• Dynamic, fast-paced culture

• High impact and ownership

Experience Requirements:

• 3+ years of experience in Data Engineering, ML Infrastructure, or Distributed Systems

• Deep experience with PostgreSQL at scale (schema design, partitioning, indexing)

• Experience building and operating reliable ETL pipelines (Airflow, Prefect, etc.)

• Strong Python engineering skills (async, multiprocessing)

• Experience processing very large datasets (TB-scale)

Other Requirements:

• Practical familiarity with audio data as a modality

• Experience running ML inference pipelines at scale

• Startup mindset

• Ability to work on-site in Berlin

Responsibilities:

• Architect and maintain a large-scale PostgreSQL database

• Design scalable ingestion pipelines for audio data

• Build distributed compute pipelines for ML inference

• Design and maintain efficient metadata storage

• Optimize ETL/ELT pipelines for performance and reliability

Benefits:

• Competitive salary package

• Stock options

• Dynamic, fast-paced environment

• High impact

• Ownership & autonomy

Experience Requirements:

• Deep experience working with speech and audio data in ML contexts

• Strong understanding of voice AI pipelines (speech enhancement, VAD, STT, etc.)

• Proven experience building, curating, and maintaining datasets

• Experience designing evaluation protocols and test scenarios

• Proficient in Python and modern software development workflows

Other Requirements:

• Hands-on and startup mindset

• Understanding of audio signal processing (room acoustics, reverberation, noise)

• Ability to work on-site in Berlin

Responsibilities:

• Own the lifecycle of speech and audio ML datasets

• Design and generate synthetic and semi-synthetic datasets

• Design and maintain evaluation protocols and test scenarios

• Build tooling for evaluation and diagnostics

• Translate model failures into improvements in data or tooling

Benefits:

• Competitive salary package

• Stock options

• Startup culture

• High impact

• Professional growth opportunities

Experience Requirements:

• Technical DevRel / Developer Advocate / DevEx experience at a developer-first company

• Hands-on Voice AI builder experience (Pipecat, LiveKit)

• Ability to ship production-quality code (Python, TypeScript/Node)

• Early-stage startup experience required

Other Requirements:

• Benchmarking mindset

• Excellent communication (technical writing, demos)

• On-site in Berlin

Responsibilities:

• Own developer activation and reduce drop-off

• Ship technical content (tutorials, deep-dives, examples)

• Build and maintain integrations with Pipecat and LiveKit

• Create benchmark templates and evaluation harnesses

• Run developer community engagement

Benefits:

• Competitive salary package

• Stock options

• Professional growth in Voice AI

• Collaborative startup culture

• High impact

Experience Requirements:

• Deep expertise in digital audio signal processing and acoustics

• Strong mathematical foundation

• Experience turning research/prototypes into high-performance production code

• Proficiency in Python and low-level code (Rust, C, or C++)

Other Requirements:

• Startup mindset

• Understanding of modern machine learning development workflows

• Ability to work on-site in Berlin

Responsibilities:

• Own design and evolution of core audio simulation and data generation systems

• Model realistic audio signal chains

• Translate customer audio into simulation assumptions

• Develop efficient DSP implementations for real-time and streaming

• Build and maintain tooling and abstractions for simulations

Benefits:

• Competitive salary package

• Stock options

• Learning from audio and ML experts

• High impact on generative audio

• Inclusive startup culture

Experience Requirements:

• 6+ years in a high-velocity startup or product-centric environment

• Expert in Python and FastAPI

• Proficient with PostgreSQL

• Hands-on AWS experience

• Expertise in Docker, Kubernetes, and CI/CD

Other Requirements:

• Deep understanding of the testing pyramid

• Testing mindset (pytest, unittest)

• Experience with microservices and system observability

• Start date: Jan 1, 2026

Responsibilities:

• Design & Implement RESTful and event-driven microservices

• Optimize and maintain PostgreSQL schemas

• Deploy and scale services on AWS (EKS, RDS, S3)

• Build and orchestrate Docker containers

• Implement CI/CD pipelines via GitHub Actions

Other Requirements:

• Mention desired position in the cover letter

• Upload CV and cover letter

Benefits:

• Competitive salary

• Equity (own a piece of the company)

• True ownership & flexibility

• Minimal bureaucracy

• AI-first culture

Education Requirements:

• Strong math skills (linear algebra and statistics)

Experience Requirements:

• Experienced Data Scientist / ML Engineer

• Foundational knowledge of NLP and LLMs

• Experience with Python, NumPy, PyTorch, Hugging Face, Flyte, or PySpark

• Past experience with entity resolution, information extraction, or document retrieval

Other Requirements:

• Startup-minded and high-performer

• Hunger for innovation

• Knowledge of how to make ML pipelines and products scale

• Fluency in English

Responsibilities:

• Work on complex, data-heavy features

• Define what a great AI-first product looks like

• Address entity resolution and information extraction

• Manage document retrieval, ranking and clustering