Benefits:

• Treating teammates like adults

• Encouragement for side hustle

• Career development at AppSumo

• Learning about starting and growing a business

• Opportunity to get paid to learn

Experience Requirements:

• 3+ years of experience managing paid campaigns, ideally in the SaaS/tech space with $100K+/month budgets

• A deep understanding of the e-commerce funnel and its real-world applications

• Analytical mindset with the ability to work with large data sets and pull out actionable business insights from paid ads metrics

• Foundational knowledge of digital marketing

• The ability to work collaboratively with content specialists in a fast-paced and changing environment

Responsibilities:

• Managing all aspects of AppSumo’s paid marketing channels across paid search, paid social, and more

• Monitoring and optimizing campaigns to hit clearly defined monthly targets

• Creating performance reports on paid ads campaigns for key metrics like conversions, customer acquisition costs, revenue, and lifetime value of customers brought in from paid channels

• Constantly looking for new opportunities for growth and testing new channels

• Working alongside our content and design teams to create engaging, on-brand content for ads

Benefits:

• $700/month stipend

• Portfolio-ready output: your experiments and reflections can be published and cited.

• A unique fellowship title that stands out on your CV/LinkedIn.

• A chance to directly influence an ethical AI product used by thousands of students worldwide.

• Close mentorship and networking with Litero's product and marketing team.

Education Requirements:

• Currently open to students

Experience Requirements:

• Show us you can think critically and use Litero.

Other Requirements:

• Complete a short essay task inside Litero (takes 5 minutes).

• Submit your info + a 100-word motivation through the application form.

• Applications reviewed weekly; selected students notified by email.

• If accepted, you'll sign a short freelance agreement before starting.

• Payments will be processed monthly via PayPal or Wise.

Responsibilities:

• Investigate how students actually use AI in essays, research, and presentations.

• Design and run small "micro-projects" — like testing prompts, comparing workflows, or gathering peer feedback.

• Turn your discoveries into short guides, posts, or reports other students can learn from.

• Present your findings to the Litero team and your fellow cohort — your work feeds directly into our roadmap.

• Collaborate with other fellows: swap ideas, compare results, and push each other further.

Benefits:

• Paid $22/hour for remote work · $25/hour if you're also active on campus.

• Consistent ~5–6 hrs/week · flexible schedule that fits around classes.

• Real startup internship: touch product, content, and marketing in one role.

• Direct mentorship from Litero's product + marketing team.

• Learn how modern AI tools are built, tested, and launched in the real world.

Education Requirements:

• Currently open to students

Experience Requirements:

• Show us you can use Litero and think about writing with AI.

Other Requirements:

• Complete a short essay task inside Litero (takes 5 minutes).

• Submit your info + a 100-word motivation through our application form.

• Applications are reviewed weekly and selected students are notified by email.

• If accepted, you'll sign a simple freelance agreement before starting.

• Payments will be processed monthly via PayPal or Wise.

Responsibilities:

• Test-drive new Litero features and give raw feedback (what works, what doesn't).

• Collect and analyze real examples of how students use AI in essays and projects.

• Brainstorm with the Litero team — pitch ideas for features, study hacks, or content.

• Create quick content (guides, posts, tips) that help peers use AI smarter.

• Document small experiments (e.g. "Does X save more time than Y?") and share results.

Benefits:

• Paid $22/hour for remote work · $25/hour if you’re also active on campus.

• Consistent ~5–6 hrs/week · Flexible schedule that works around classes.

• Looks strong on your CV/LinkedIn: “AI Student Ambassador” is real work experience.

• Direct influence: your feedback helps shape how thousands of students worldwide use Litero.

• Early access to new features, product updates, and insider opportunities.

Education Requirements:

• Currently open to students

Experience Requirements:

• Students who actually use AI tools and know how to show others the ropes.

Other Requirements:

• Complete a short essay task inside Litero (takes 5 minutes).

• Submit your info + a 100-word motivation through our application form.

• Applications are reviewed weekly and selected students are notified by email.

• If accepted, you’ll sign a straightforward freelance agreement before starting.

• Payments will be processed monthly via PayPal or Wise.

Responsibilities:

• Share Litero tips in the spaces you already hang out: Discord servers, uni group chats, student forums, or directly on campus.

• Act as our student radar: bring back honest feedback, questions, and pain points from your peers.

• Join quick online check-ins with the Litero team — more brainstorming than boardroom.

Benefits:

• Competitive compensation

• Remote flexibility

• Health & wellness

• Generous time off

• Learning & growth

Experience Requirements:

• Proven experience in SaaS or tech marketing

• Strong analytical and creative skills

• Excellent communicator and team player

• Results-driven and adaptable

Responsibilities:

• Develop and execute marketing strategies

• Manage digital campaigns and content

• Analyze performance and optimize for growth

• Collaborate with product and design teams

Benefits:

• Get paid for each approved set of photos.

Experience Requirements:

• Minimum 2 year of experience in professional photography.

• Minimum 1 year of experience in Photoshop.

Other Requirements:

• Proficiency with DSLR, mirrorless, or high-quality smartphone cameras.

• Understanding of lighting, framing, and composition.

• Ability to adapt scenes creatively and ensure technical image quality.

• Reliable workflow for organizing, editing, and delivering photos on time.

Responsibilities:

• Capture original photo sets across a variety of scenes, both indoors and outdoors.

• Add, remove, or replace objects to reshape your scene naturally and creatively.

• Adjust props, lighting, and layouts to reveal meaningful transformations across each sequence.

• Deliver multiple variations per setup, from the original to the final edit, showing clear progression and consistent realism.

• Include brief notes about your changes, lighting, and setup to complete your submission.

Benefits:

• Get paid for each approved set of edits.

Experience Requirements:

• Minimum 1 year of experience in Photoshop, Illustrator, Procreate, or other professional design tools.

Other Requirements:

• Strong creative vision and ability to translate references into original outputs.

• Knowledge of color theory, composition, and visual storytelling.

• Ability to work independently and meet project deadlines.

Responsibilities:

• Restyle existing images using reference images as inspiration.

• Experiment with artistic techniques such as digital painting, stylization, texture overlays, and compositing.

• Produce multiple restyled variations with meaningful creative differences.

• Document your creative process with short notes on inspiration and approach.

Benefits:

• Get paid for each approved set of edits.

Experience Requirements:

• Minimum 1 year of experience with Photoshop, Lightroom, or similar professional editing tools.

Other Requirements:

• Strong sense of visual aesthetics and attention to detail.

• Ability to create distinct, progressive edits across multiple styles.

• Proven track record of meeting deadlines and delivering consistent, high-quality work.

Responsibilities:

• Edit photos to meet professional standards.

• Apply diverse editing techniques such as advanced color adjustments, detailed retouching, adding or removing objects, fixing backgrounds and adjusting lighting/perspective.

• Experiment with creative approaches to generate meaningful and innovative visuals.

• Submit both the final edited image and a short explanation of your editing process.

Benefits:

• Impact & Ownership: A unique opportunity to shape the future of banking through AI, owning end-to-end product initiatives.

• Collaborative Environment: Work alongside a talented and passionate team that values continuous improvement and knowledge sharing.

• Competitive Compensation: Includes salary, benefits, and potential equity in a fast-growing startup.

• Professional Growth: Access to resources and mentorship to expand your skill set, influence strategy, and accelerate your career.

• Culture of Innovation: We encourage risk-taking, learning from failures, and pushing the boundaries of what’s possible in fintech.

Education Requirements:

• MBA from a top-tier program

Experience Requirements:

• 4+ years of management consulting experience at a leading firm (McKinsey, Bain, BCG, etc.) or project leadership experience at a top tech company

• Proven track record managing large-scale software development and / or implementation projects ($5M+)

• Industry experience in financial services

• Experience with AI-related projects

• Previous experience at a high-growth startup

Other Requirements:

• Strong cross-functional team leadership skills (business & engineering)

• Outstanding communication and presentation abilities

Responsibilities:

• Lead end-to-end implementations of our AI-powered loan origination platform at Tier 1 banks, working directly with C-suite executives, business unit and technology leaders

• Design and execute complex project strategies that navigate regulatory requirements, legacy system integrations, and organizational change management

• Build scalable implementation methodologies that accelerate our expansion across the banking industry

• Drive cross-functional collaboration between our engineering teams, bank stakeholders, and regulatory bodies

• Establish project management excellence that sets the standard for fintech-bank partnerships

Benefits:

• Flexible Working: remote-first across Australia or New Zealand with flexibility for you to manage work and life as you need

• Work from Anywhere: apply to work in another location for up to 3 months per calendar year.

• Connection Budget: an annual budget to connect with the team IRL where and when possible.

• Learning Budget: study leave and an annual budget for you to put towards your learning and development.

• Home Office Allowance: a contribution towards your set-up and a monthly allowance to support work from home costs.

Experience Requirements:

• Strong background in applied AI/ML, with hands-on experience in LLMs, multimodal models, embeddings, and generative tools.

• Proven experience shipping real AI features to real customers.

• Skilled in context engineering — designing prompts, retrieval pipelines, metadata integration, and memory/state management.

• Familiar with orchestration tools like LangChain and skilled at building reliable, maintainable AI systems.

• A creative problem-solver who thrives in ambiguity.

Responsibilities:

• Build and ship AI-powered features that enhance our customer workflows

• Use AI to improve how we work — from smarter dev tools to smoother deployments

• Work across the stack, from hands-on coding to system design

• Collaborate with engineers, PMs, designers, and content specialists to bring ideas to life

• Share knowledge on emerging AI tech, helping the team stay ahead of the curve

Benefits:

• Flexible Working: remote-first across Australia or New Zealand with flexibility for you to manage work and life as you need

• Work from Anywhere: apply to work in another location for up to 3 months per calendar year.

• Connection Budget: an annual budget to connect with the team IRL where and when possible.

• Learning Budget: study leave and an annual budget for you to put towards your learning and development.

• Home Office Allowance: a contribution towards your set-up and a monthly allowance to support work from home costs.

Experience Requirements:

• Previous people management, team leadership, and mentoring experience with Platform, Infrastructure, DevOps, or SRE teams.

• Master of excellent communication and stakeholder management, able to build relationships with technical and non-technical teams.

• Thrive in a team-oriented, collaborative environment, ideally with experience using Agile processes.

• Highly self-motivated and directed, demonstrating integrity and ethical behaviour in all interactions.

• Proven ability to empower and support teams to embrace change and align resources effectively with shifting priorities.

Responsibilities:

• Lead and guide the Infrastructure Platform and SRE teams, fostering a positive, collaborative, and high-performance culture.

• Drive delivery by organising team work, clarifying expectations, setting clear goals, and removing roadblocks for mid-to-large scale projects.

• Own, evolve, and take responsibility for our production systems, including their availability, security, and incident management.

• Promote a “you build it, you run it” approach and champion the internal developer platform, focusing on self-service and developer experience.

• Partner with Architects and Lead Engineers to align system architecture with the larger Envato technical ecosystem.

Benefits:

• Flexible Working: remote-first across Australia or New Zealand with flexibility for you to manage work and life as you need

• Work from Anywhere: apply to work in another location for up to 3 months per calendar year.

• Connection Budget: an annual budget to connect with the team IRL where and when possible.

• Learning Budget: study leave and an annual budget for you to put towards your learning and development.

• Home Office Allowance: a contribution towards your set-up and a monthly allowance to support work from home costs.

Experience Requirements:

• Likely 5 years of experience in data or software engineering, with a distinct focus on infrastructure, ingestion, and orchestration.

• High proficiency with Infrastructure as Code (Terraform) and cloud-native environments, specifically AWS.

• Hands-on experience using Airflow for orchestration and Python for building ingestion tools and automation.

• Strong comfort working with SQL in data warehouses such as Redshift or Snowflake, and familiarity with dbt.

• Proven experience operating production-grade data pipelines, encompassing both managed connectors and custom-coded solutions.

Responsibilities:

• Write high-quality, well-tested, and documented infrastructure code using Terraform.

• Build and maintain internal tooling, Docker images, and shared utilities for data workflows using Python and SQL.

• Utilise Git-based version control and CI/CD tooling (e.g., GitHub Actions, Terraform Cloud) to deliver platform changes.

• Own the end-to-end data ingestion layer, using tools like Fivetran and custom Python pipelines, from source systems to the warehouse.

• Configure and maintain Airflow DAGs, ensuring reliable scheduling, and contribute to the operation of cloud data warehouses like Redshift and Snowflake.

Benefits:

• Flexible Working: remote-first across Australia or New Zealand with flexibility for you to manage work and life as you need

• Work from Anywhere: apply to work in another location for up to 3 months per calendar year.

• Connection Budget: an annual budget to connect with the team IRL where and when possible.

• Learning Budget: study leave and an annual budget for you to put towards your learning and development.

• Home Office Allowance: a contribution towards your set-up and a monthly allowance to support work from home costs.

Experience Requirements:

• Demonstrable history of successfully leading, mentoring, and scaling a high-performing engineering or data team.

• Broad, hands-on experience with the implementation, architecture, and maintenance of modern CDPs (e.g., Segment, Amplitude, Hightouch, Tealium).

• Deep technical knowledge of client-side and server-side tracking, tag management systems (e.g., Google Tag Manager, Tealium iQ), and analytics platforms (GA4, Amplitude, Mixpanel).

• Good working knowledge of global privacy and customer tracking legislation (GDPR, CCPA) and the technical solutions required to ensure continuous compliance.

• Solid grasp of core web technologies and data languages, including JavaScript, SQL, and Python fundamentals.

Responsibilities:

• Define and evolve the CDM team's long-term strategy, technical roadmap, and quarterly priorities.

• Define a holistic technical architecture that spans our entire customer data management space.

• Lead, grow and mentor a high performing team of engineers, with plans to scale based on business needs.

• Manage external vendors for critical platforms (including CDPs, tag-management systems, analytics and experimentation tools).

• Ensure effective prioritisation, execution, and delivery of complex, multi-stream data projects.

Benefits:

• Flexible Working: remote-first across Australia or New Zealand with flexibility for you to manage work and life as you need

• Work from Anywhere: apply to work in another location for up to 3 months per calendar year.

• Connection Budget: an annual budget to connect with the team IRL where and when possible.

• Learning Budget: study leave and an annual budget for you to put towards your learning and development.

• Home Office Allowance: a contribution towards your set-up and a monthly allowance to support work from home costs.

Experience Requirements:

• 7+ years of product management experience, ideally in the tech space

• Hands-on experience building AI-powered products or features, especially in the generative or automation space.

• Speak tech fluently and are comfortable discussing architecture or reading code.

• Thrive in ambiguity, with a proven knack for delivering real customer impact against the odds.

• Master balancer, effortlessly juggling user needs, technical constraints, and commercial goals.

Responsibilities:

• Own the AI product playbook, translating ambitious strategic opportunities into clear, actionable roadmaps.

• Be the ultimate champion for our creatives, embedding deep customer understanding into every product decision you make.

• Define a crystal-clear product direction for our AI tools, connecting the team's daily hustle to our biggest goals.

• Lead the charge on cross-functional delivery, working hand-in-glove with Engineering and Design to ship high-quality work at pace.

• Dive in with our tech teams, confidently shaping solutions and exploring emerging technologies to unlock value.

Benefits:

• Drive real drug discovery with visible impact on pipeline progress

• Join a science-first team blending AI and chemistry for next-gen therapeutics

• Enjoy flexible working with support for remote collaboration

Education Requirements:

• Ph.D. in Computational Chemistry, Medicinal Chemistry, or a related field

• Master’s degree in computational drug discovery or related roles

Experience Requirements:

• 2–5 years of experience in drug discovery (with Ph.D.)

• 5+ years of hands-on industry experience in computational drug discovery or related roles (with Master's degree)

• Proven track record of contributing to hit identification, hit-to-lead, or lead optimization programs

• Proficiency in molecular modeling platforms

• Strong understanding of medicinal chemistry and SAR interpretation

Other Requirements:

• Comfortable working in fast-moving, cross-functional project teams

• Is actively contributed to real drug discovery projects and can confidently apply modeling techniques to impact design decisions.

• Is comfortable balancing scientific depth with practical prioritization and can independently plan and drive modeling strategies within multi-disciplinary projects.

Responsibilities:

• Use molecular modeling tools (e.g., docking, molecular dynamics, FEP, pharmacophore design) to support compound design.

• Interpret SAR data, suggest new analogs, and prioritize compound ideas.

• Collaborate with medicinal chemistry teams.

• Contribute to planning project workflows and setting modeling priorities.

• Drive hypothesis generation and test cycles based on evolving data.

Benefits:

• Mentorship from experts with deep industry experience.

• Work on high-impact, real-world drug discovery programs.

• Flexible, remote-friendly culture.

Education Requirements:

• Final-year student or recent graduate (B.Sc. or M.Sc.) in Chemistry, Biochemistry, Pharmaceutical Sciences, Computational Chemistry, Structural Biology, or related fields.

• Candidates from engineering or physics with exposure to molecular simulations, bioinformatics, or AI in life sciences are encouraged to apply.

Experience Requirements:

• Basic understanding of molecular docking principles and exposure to tools such as AutoDock, Glide, or GOLD through coursework, internships, or self-study.

• Introductory knowledge of computer-aided drug design (CADD) concepts.

• Familiarity with molecular visualization tools (PyMOL, UCSF Chimera, VMD).

• Basic proficiency in Python or another scripting language; experience with Jupyter or Google Colab preferred.

• Coursework, research projects, or self-initiated learning in computational modeling will be considered favorably.

Other Requirements:

• Strong scientific curiosity and willingness to learn hands-on tasks in computational drug discovery.

• Ability to communicate findings clearly and work collaboratively in a team environment.

• Openness to feedback and continuous learning in a fast-paced setting

• Experience in academic drug discovery programs, hackathons, or internships at pharma, CROs, or research centers.

• Familiarity with AI/ML frameworks for chemistry (e.g., DeepChem, PyTorch).

Responsibilities:

• Support hit discovery projects by preparing protein and ligand structures for modeling.

• Run docking workflows and visualize protein–ligand interactions using molecular modeling tools.

• Assist in structure- and ligand-based design tasks across live projects.

• Contribute to the setup and execution of cheminformatics pipelines (e.g., RDKit, Open Babel).

• Document workflows, results, and insights clearly for team discussions.

Education Requirements:

• Bachelor’s degree in life sciences (Biology, Chemistry, Pharmaceutical Sciences) or a related field; Master’s preferred.

• Basic familiarity with drug‑discovery workflows (medicinal chemistry, in vitro/in vivo assays) and AI‑driven modeling concepts.

Experience Requirements:

• 1+ years of experience supporting R&D projects.

• Hands‑on use of project‑management tools (Jira, Confluence, MS Project or equivalent) and proven proficiency maintaining Gantt charts and sprint boards.

• Strong data‑tracking aptitude: comfortable updating databases/registries and extracting metrics for status reports.

Other Requirements:

• Working knowledge of SOPs and quality standards; able to ensure documentation meets regulatory requirements.

• Basic risk‑assessment skills, with the ability to identify, flag, and escalate scientific or operational issues proactively.

• Excellent written and verbal communication; adept at coordinating across biology, chemistry, computational modeling, and AI teams.

• Highly organized and detail‑oriented, with experience drafting agendas, capturing minutes, and tracking action items.

• Collaborative mindset; comfortable participating in retrospectives and driving continuous‑improvement initiatives.

Responsibilities:

• Project Coordination: Support the planning, execution, and monitoring of AI-driven drug discovery projects, ensuring alignment with scientific and strategic goals.

• Timeline & Milestone Tracking: Assist in maintaining Gantt charts, sprint boards, and timelines using tools like Jira, ensuring timely delivery of key milestones.

• Cross-functional Communication: Act as a liaison among interdisciplinary teams—biology, chemistry, computational modeling, and AI—facilitating seamless collaboration and effective handoffs.

• Meeting Support: Organize and document internal and external meetings, including drafting agendas, recording decisions, tracking action items, and distributing minutes via Confluence or shared drives.

• Data & Task Integration: Track ongoing tasks, workflows, and iterations; collaborate with scientific leads to update task boards and data registries in Jira or equivalent systems.

Benefits:

• Cross-functional exposure (frontend, 3D visualization, scientific computing).

• Professional development opportunities.

• Collaborative and learning-focused environment.

Education Requirements:

• Bachelor's degree in Computer Science, Software Engineering, or related field (or equivalent experience).

Experience Requirements:

• 1+ year of professional software development experience.

• Strong programming skills in JavaScript/TypeScript.

• Solid understanding of React hooks and modern React patterns.

• Experience with state management solutions (Redux preferred).

• Proficiency with version control systems (Git).

Other Requirements:

• Good problem-solving skills and attention to detail.

• Ability to work both independently and as part of a team.

• Self-starter who can take features from concept to production.

• Creative problem-solver who thinks outside the box.

• Interested in the intersection of technology and drug discovery.

Responsibilities:

• Develop and maintain frontend features using React and TypeScript.

• Work with 3D molecular visualization using NGL library.

• Integrate with RESTful APIs for chemical compound data.

• Optimize performance for large datasets and real-time rendering.

• Debug and refactor existing codebase for better maintainability.

Education Requirements:

• Background in biophysics, biology, chemistry, or a related field.

Experience Requirements:

• Practical experience with GROMACS.

• Knowledge of system preparation (force fields, solvation, methods of parameterization).

• Experience with membrane protein simulations.

• Linux proficiency; basic scripting (Bash, Python).

Other Requirements:

• Experience with other MD engines (AMBER, NAMD, or OpenMM)

• Familiarity with enhanced sampling methods.

• Experience with mixed-solvent simulations.

• Hands-on experience with HPC.

Responsibilities:

• Prepare and run MD simulations on HPC/cloud systems.

• Perform standard analyses (RMSD, RMSF, hydrogen bonds, clustering, etc.).

• Automate routine steps with simple scripts.

• Document and report results clearly.

Benefits:

• Opportunity to work on cutting-edge bioinformatics projects.

• Mentorship from experienced developers.

• Cross-functional exposure (backend, frontend, ML, biology, DevOps).

• Professional development opportunities.

• Collaborative and learning-focused environment.

Education Requirements:

• Bachelor's degree in Computer Science, Software Engineering, or related field (or equivalent experience).

Experience Requirements:

• 1+ year of professional software development experience.

• Strong programming skills in Python.

• Understanding of RESTful API design principles.

• Experience with version control systems (Git).

• Basic knowledge of SQL and relational databases.

Other Requirements:

• Good problem-solving skills and attention to detail.

• Ability to work both independently and as part of a team.

• Eager to learn and grow in software development.

• Creative problem-solver who thinks outside the box.

• Interested in the intersection of technology and biology.

Responsibilities:

• Develop and maintain backend microservices using Python (FastAPI/Flask).

• Work with biological data processing pipelines and proteomics workflows.

• Implement RESTful APIs and integrate with various data sources.

• Collaborate on database design and optimization (PostgreSQL, SQLAlchemy).

• Participate in code reviews and contribute to technical documentation.