AI Jobs

Benefits:

• Nice work environment

• Competitive Salary

• Health Insurance

• Stock Options

• Annual Company Trip

Experience Requirements:

• Hands-on experience in a customer-facing or support capacity

• Comfortable using tools like Zendesk, HubSpot, Pylon, or similar

• Experience troubleshooting product or technical issues

Other Requirements:

• Located in LATAM or the US working within US time zones

• Clear written and verbal communication skills

Responsibilities:

• Main point of contact for users via email, chat, and video

• Troubleshoot and guide customers through product workflows

• Collaborate with Product and Engineering to report recurring issues

• Contribute to support processes and internal playbooks

• Identify trends in customer queries to suggest proactive solutions

Benefits:

• Nice work environment

• Competitive Salary

• Health Insurance

• Stock Options

• Annual Company Trip

Experience Requirements:

• Prior experience in customer-facing roles is a plus

• No previous experience in SaaS or product support required

Other Requirements:

• Proficiency in English is mandatory

• Based in the Americas working within U.S. time zones

Responsibilities:

• Communicate with customers via email, chat, and video calls

• Learn the product inside and out to help users find solutions

• Collaborate with Product and Engineering to share insights

• Build and update help center documentation and FAQs

• Ensure full resolution of customer issues

Benefits:

• Nice remote work environment

• Competitive Salary

• Health Insurance

• Stock Options

• Annual Company Trip

Experience Requirements:

• Several years of experience designing software

• Track record of shipping excellent design in a fast-paced environment

• Experience with design systems

Other Requirements:

• Based in GMT-3 to GMT+3 timezones

• Proficiency in Figma

• Strong design sense and attention to detail

Responsibilities:

• Shape product strategy and visual direction

• Lead design projects and collaborate with engineers

• Create user flows, prototypes, and high-fidelity visuals

• Build and nurture a design-focused culture

• Understand customer needs through direct conversations

Education Requirements:

• School

• GPA

Other Requirements:

• Resume/CV

• Cover Letter

• LinkedIn Profile

• Why are you interested in Hallo and this position?

Experience Requirements:

• 10+ years of software engineering experience

• At least 4 years leading or managing engineering teams

• Startup experience building and scaling systems

• Deep expertise in Python and cloud-native architectures

• Strong experience with GCP, Kubernetes, and infrastructure-as-code (Terraform)

Other Requirements:

• A passion for cutting-edge AI and agents

• Hands-on experience with enterprise AI/LLM platforms

• Proven ability to balance technical depth with people leadership

• A bias for action and comfort with ambiguity

Responsibilities:

• Lead and grow a small but mighty engineering team

• Stay hands-on: architect, code, and review alongside the team

• Own GCP/Kubernetes infrastructure and scalability

• Drive technical strategy for the AI platform

• Partner with the CEO and sales leadership to ship features

Experience Requirements:

• 3+ years of experience with frontend development

Other Requirements:

• Ability to work in a dynamic, fast-paced environment

Responsibilities:

• Developing and implementing user interface components using React.js, HTML, CSS, and JavaScript

• Ensure that our web applications are visually appealing, intuitive, and responsive

• Collaborate with backend developers and designers to deliver seamless user experiences

Benefits:

• Equity

• Bonus

• Competitive pay

• Equitable practices

• Transparent compensation

Education Requirements:

• Education is not a requirement for our roles

Experience Requirements:

• 4+ years of experience building and maintaining scalable, reliable data pipelines and infrastructure in cloud environments

• Strong software engineering foundation for Product Data Engineering roles

• Experience with Governance, Privacy, and Security for Data Platforms roles

• Highly skilled in Databricks, Spark, or similar distributed processing platforms

• Proficient in Python and/or Typescript, and strong in SQL

Other Requirements:

• Commitment to data quality and observability

• Excellent written communication skills

• Ability to balance pragmatism with action

• Knowledge of performance tuning and maintenance across modern data platforms

Responsibilities:

• Build and Scale Data Services and APIs

• Collaborate on Data Architecture and Models

• Contribute to Standards, Quality, and Governance

• Performance Tuning, Maintenance and Optimization

• Develop Reusable Engineering Patterns

Benefits:

• Equity

• Bonus

• Competitive compensation

• Simple and transparent practices

• Business impact approach to pay

Education Requirements:

• Education is not a requirement for our roles

Experience Requirements:

• 8+ years of experience in Machine Learning and AI

• Track record of leading teams and projects that deliver high-impact solutions

• Experience leading the end-to-end lifecycle of ML projects

• Experience leading technical teams including engineers and managers

• Deep technical expertise in model development, evaluation, and data pipeline optimization

Other Requirements:

• Proficiency in AI/ML frameworks and tools

• Solid foundation in data and software engineering

• Familiarity with MLOps/LLMOps and CI/CD pipelines

• Strong product and business thinking at a portfolio level

• Experience with Databricks, AWS, Python, Typescript, and Kafka

Responsibilities:

• Lead and manage teams of AI & Machine Learning Engineers

• Own, execute, and iteratively evolve Zapier’s AI/ML strategy

• Coach and guide teams in ML model development and deployment

• Collaborate with cross-functional teams to identify AI/ML opportunities

• Foster a culture of innovation and experimentation within the AI/ML org

Benefits:

• Equity

• Bonus

• Competitive pay

• Transparent practices

• Impact-based rewards

Education Requirements:

• Education is not a requirement for our roles

Experience Requirements:

• Proven experience in partner marketing or channel marketing in B2B SaaS

• Background in creating and managing multi-channel campaigns

• Experience building partner-facing enablement resources

• Ability to create repeatable marketing programs

• Experience with AI tools for work efficiency

Other Requirements:

• Excellent written and verbal communication skills

• Analytical mindset with experience setting and tracking KPIs

• Ability to work cross-functionally with Sales, Product, and Marketing

• Familiarity with partner portals and MDF/fund programs

• Interest in automation and integration tools

Responsibilities:

• Drive partner program marketing and enablement

• Manage partner perks and lifecycle communications

• Develop campaigns-in-a-box and multi-channel assets

• Design and manage structured MDF programs

• Track KPIs related to partner-influenced pipeline and engagement

Benefits:

• Equity

• Bonus

• Equitable practices

• Impact-based pay

• Competitive sector salary

Education Requirements:

• Education is not a requirement for our roles

Experience Requirements:

• 5+ years of experience in software engineering

• 3+ years dedicated to distributed, scalable cloud based web applications

• At least 1 year of experience working with LLMs in production environments

• Experience working through the full lifecycle of scaling LLM architectures

• Experience building with cloud infrastructure technologies

Other Requirements:

• Familiarity with transformer networks and attention mechanisms

• Experience with evaluation frameworks for LLMs

• Experience with Retrieval-Augmented Generation (RAG) systems

• Proficiency in Python or TypeScript

• Understanding of semantic search and vector databases

Responsibilities:

• Integrate LLMs into software products and ensure performance

• Develop data-driven feedback loops to capture user data

• Build tooling and infrastructure for faster AI product iteration

• Monitor the performance and health of AI systems

• Collaborate with Data and cross-functional teams on AI features

Benefits:

• Equity

• Bonus

• Competitive pay

• Simple pay practices

• Transparent salary determination

Education Requirements:

• Education is not a requirement for our roles

Experience Requirements:

• Significant experience in API Development

• Fluency in Python with strong experience in Django

• Familiarity with authentication patterns like OAuth, API keys, and JWTs

• Experience designing for scale, performance, and resilience

• Experience building and maintaining APIs serving production traffic

Other Requirements:

• Customer sympathy and empathy

• Remote-ready discipline and asynchronous communication skills

• Experience with Django REST Framework is ideal

• Interest in OpenAPI and SDK generation pipelines

• Knowledge of React or Next.js is a plus

Responsibilities:

• Design and build new partner-facing APIs

• Expand and improve the Powered by Zapier platform

• Enhance partner developer tools and documentation

• Collaborate across Platform, Infrastructure, and Product Engineering

• Lead technical initiatives and mentor teammates

Benefits:

• Equity

• Bonus

• Competitive pay

• Equitable practices

• Business impact rewards

Education Requirements:

• Education is not a requirement for our roles

Experience Requirements:

• 4+ years with software development in Python, Go, or Typescript

• 2+ years focused on building event / streaming systems at scale

• Experience with Kafka (MSK) and Avro

• Experience with highly available cloud-based infrastructure in AWS

• Experience using Terraform for infrastructure-as-code

Other Requirements:

• Strong experience with distributed data stores

• Knowledge of CI/CD pipelines such as GitLab

• Understanding of SRE best practices for uptime

• Experience with SQS is highly preferred

• Collaborative spirit and user empathy

Responsibilities:

• Build scalable solutions processing billions of events daily

• Develop toolkits and libraries for internal Events system users

• Contribute to data governance and hygiene practices

• Refactor code and improve frameworks as techniques evolve

• Participate in on-call rotations for system reliability

Benefits:

• Equity

• Bonus

• Competitive compensation

• Simple pay philosophy

• Pay for impact approach

Education Requirements:

• Education is not a requirement for our roles

Experience Requirements:

• 5+ years of experience building and maintaining production web applications

• Strong knowledge in JavaScript/TypeScript and React

• Solid experience building backend APIs with Python (Django preferred)

• Familiarity with PostgreSQL, Redis, and cloud environments like AWS

• Experience with AI tooling for work or personal use

Other Requirements:

• Experience with payment systems or billing platforms is a plus

• Customer-focused mindset

• Ability to modernize legacy systems

• Strong asynchronous communication skills

• Comfortable with ambiguous or novel problems

Responsibilities:

• Build and maintain pricing and plan selection UIs

• Develop backend services for subscriptions and payments

• Collaborate with design, product, and data teams

• Modernize billing and packaging infrastructure

• Define new interfaces like billing APIs and pricing engines

Benefits:

• Equity

• Bonus

• Equitable and transparent pay

• Competitive tech sector salary

• Business impact pay model

Education Requirements:

• Education is not a requirement for our roles

Experience Requirements:

• Proven track record of shipping LLM-powered products

• Experience with human-in-the-loop or guided prompting features

• Leadership experience in building high-quality production-level code

• Proficiency in Typescript, React, Nodejs, Python, and Django

• Experience managing engineering teams

Other Requirements:

• Excellent communication skills

• Ability to balance architecture with pragmatism

• Experience in rapid prototyping and experimentation

• User-first mindset for AI adoption barriers

• Ability to collaborate across disciplines

Responsibilities:

• Lead and develop a team of 4-6 engineers

• Evaluate and advocate for architectural decisions

• Collaborate with Product and Design on AI features

• Champion engineering process improvements

• Foster a culture of experimentation and rapid learning

Benefits:

• Equity

• Bonus

• Simple and transparent practices

• Impact-based rewards

• Total rewards program

Education Requirements:

• Education is not a requirement for our roles

Experience Requirements:

• 3+ years managing teams focused on personalization, experimentation, or growth platforms

• Deep technical expertise in modern web technologies

• Hands-on experience with TypeScript, Python, Node.js, GraphQL, and Next.js

• Experience with recommendation engines and A/B testing platforms

• Experience shipping production code and contributing to architecture

Other Requirements:

• Strong collaboration skills with Engineering, Data, and Product

• Experience leading through system migrations or organizational shifts

• Excellent written and verbal communication skills

• Ability to mentor and coach engineering teams

• Data-driven mindset for user activation and retention

Responsibilities:

• Define technical strategy for the Personalization Platform

• Lead technical execution of personalization infrastructure

• Develop self-service tools for A/B testing

• Partner with Data org to implement recommendation engines

• Recruit, onboard, and train new engineers

Benefits:

• Generous base salary

• Meaningful equity package

• Retirement 401k

• Healthcare

• Wellness stipend

Experience Requirements:

• Advanced SQL skills, including window functions and CTEs

• Experience with Python for analysis, modeling, or automation

• Hands-on experience building dbt models and Airflow pipelines

• Proficiency with BI and visualization tools

• Strong data modeling and analytics principles

Other Requirements:

• Candidates must be legally authorized to work in the United States

• Origin does not sponsor visas

Responsibilities:

• Design and maintain scalable data architecture, pipelines, and models

• Build reusable datasets that power analytics and BI

• Collaborate with Engineering to define event tracking standards

• Develop core metrics, dashboards, and self-serve tools

• Partner with Product, Marketing, and Engineering to uncover insights

Benefits:

• Generous base salary

• Meaningful equity package

• Retirement 401k

• Healthcare

• Wellness stipend

Education Requirements:

• BA/BS degree or equivalent experience in Design, Human-Computer Interaction, or a related field

Experience Requirements:

• 5+ years of experience as a Product Designer

• Previous experience designing for fintech or data-rich products

• Strategic product thinking

• Evidence of a robust design process

• Proactive self-starter capable of independently driving projects

Other Requirements:

• Fluent or native-level English skills

• Candidates must be legally authorized to work in the United States

• Origin does not sponsor visas

Responsibilities:

• Collaborate with cross-functional teams for AI-driven UX

• Translate research insights into intuitive design solutions

• Design user flows, wireframes, and prototypes

• Develop polished, high-fidelity visual designs

• Advocate for intuitive UX

Benefits:

• Generous base salary

• Meaningful equity package

• Retirement 401k

• Healthcare

• Wellness stipend

Experience Requirements:

• 2-5+ years of engineering management experience

• 7+ years experience in engineering of relevant software development

• Excellent communication skills

• Flexible in leadership style

• Data-Driven Mindset and Analytics Skills

Other Requirements:

• Relentlessly Resourceful

• Remote-Ready

• Fluent in English

Responsibilities:

• Strategic Leadership

• Team Collaboration and Support

• Technical Oversight and Innovation

• Product influence

• Operational Excellence

Benefits:

• Generous base salary

• Meaningful equity package

• Retirement 401k

• Healthcare

• Wellness stipend

Experience Requirements:

• Intellectually Rigorous

• Relentlessly Resourceful

• Technically Excellent

• English Language Proficiency

• Portuguese Language Proficiency

Other Requirements:

• Eagerness to learn .NET, C#, Terraform, and Kubernetes

• Effective Remotely

Responsibilities:

• Innovative Development

• Enhancing Software Reliability

• Applying Industry Best Practices

• Systematic Problem-Solving

• Collaborative Efforts

Benefits:

• Generous base salary

• Meaningful equity package

• Retirement 401k

• Healthcare

• Wellness stipend

Experience Requirements:

• Intellectually Rigorous

• Relentlessly Resourceful

• Technically Excellent

• English Language Proficiency

• Portuguese Language Proficiency

Other Requirements:

• Effective Remotely

Responsibilities:

• Innovative Development

• Enhancing Software Reliability

• Applying Industry Best Practices

• Systematic Problem-Solving

• Collaborative Efforts