AI Jobs

Benefits:

• 4 ½ day working week

• Hybrid working

• Movie perks

• Volunteer day

• Fantastic company culture

Experience Requirements:

• 3+ years' of marketing experience

• B2B marketing experience

• Experience in a technology/software business

• Excellent written and verbal communication skills

• Experience working with virtual teams

Other Requirements:

• Must be based in Auckland

• Existing right to live and work in New Zealand

Responsibilities:

• Support delivery of go-to-market activities

• Assist with product positioning and messaging

• Contribute to creation of education materials

• Produce marketing materials like sales collateral and videos

• Track and report on initiative performance

Benefits:

• Rest & Relax Fridays

• Annual volunteer day

• Employee Rewards and Benefits with Perkbox

• Medical Insurance / Medical Aid

• Employee Assistance Programme Service

Experience Requirements:

• Extensive experience in software quality assurance

• Experience working in Agile/Scrum environment

• Experience with test management tools (Jira, TestRail, Xray)

• Familiar with CI/CD pipelines (Azure DevOps, Jenkins)

• Knowledge of cross-browser testing platforms

Other Requirements:

• Right to work in South Africa without sponsorship

• Regular weekly (2 days) attendance in Cape Town office

Responsibilities:

• Define and evolve overall test strategy

• Build and maintain automated test frameworks

• Author and execute test plans for desktop, web, mobile

• Analyse performance and load testing scenarios

• Mentor and support other Test Engineers

Benefits:

• Excellent work/life balance (4 ½ day working week)

• Hybrid working

• Medical and Life insurance

• Volunteer day

• Wellness benefits

Education Requirements:

• Relevant tertiary qualification (computer science, engineering, applied maths/statistics or similar)

Experience Requirements:

• Experience with troubleshooting complex technical issues

• Experience with Load Testing techniques and tools such as JMeter

• Knowledge of system monitoring tools (Grafana, Datadog, APMs)

• Ability to develop code (Python, Powershell, Go)

• Experience working in a SaaS company

Other Requirements:

• Right to live and work in New Zealand without sponsorship

Responsibilities:

• Design, implement and manage load tests

• Manage performance testing environments

• Investigate performance results and report findings

• Provide training to engineering teams

• Provide performance troubleshooting services

Benefits:

• Excellent work/life balance (4 ½ day working week)

• Hybrid working

• Medical and Life insurance

• Volunteer day

• Wellness benefits

Experience Requirements:

• Proven intermediate level frontend application development

• Strong knowledge of React, Redux, Typescript, HTML/CSS

• Familiarity with Angular.js (useful)

• Experience creating responsive, accessible interfaces

Other Requirements:

• Right to live and work in New Zealand without sponsorship

Responsibilities:

• Work with React, Redux, Typescript, HTML/CSS

• Convert UI/UX designs into high quality code

• Write and maintain automated tests

• Debug and troubleshoot front-end issues

• Mentor and support less experienced frontend engineers

Benefits:

• Excellent work/life balance (4 ½ day working week)

• Hybrid working (regular attendance in Auckland office)

• Medical and Life insurance

• Volunteer day

• Wellness benefits

Experience Requirements:

• Automation Test experience (Junior and Senior)

• Development experience with C# and Powershell

• Experience in CI/CD environment

• Experience with test automation technologies (Specflow, Cucumber, JMeter)

Other Requirements:

• Right to live and work in New Zealand without sponsorship

Responsibilities:

• Ensure System Test frameworks are efficient and scalable

• Ensure automation code meets re-usability standards

• Set up performance testing scenarios

• Perform black box and white box testing

• Achieve testing deliverables to budget and time

Benefits:

• Fully covered health, dental, vision, and life insurance

• Flexible vacation policy (min 20 days/year)

• 401K with 6% employer match

• New Mac + $1,000 workstation budget

• $1,000 quarterly AI Experimentation & Learning budget

Experience Requirements:

• 3–5 years of product design experience with strong visual sensibility

• Experience shipping a product, side project, or feature

• Comfortable contributing to a codebase (React, Tailwind)

• Fluent in Figma

Other Requirements:

• Use AI coding tools (Claude Code, Cursor, v0)

• Based in North American time zones

• Able to travel for quarterly team retreats

• Genuine care about visual and interaction craft

Responsibilities:

• Work directly with PMs and engineers to shape and refine what ships

• Own design problems end to end from Figma to code

• Review implementations and push back on quality/feel

• Contribute to the design system and participate in critiques

• Raise the floor on everything shipped

Benefits:

• Regular team gatherings and Paris onboarding

• 20 days annual leave

• Competitive equity package

• €1000 one-time home office grant

• €1,000 annual learning and development budget

Experience Requirements:

• Strategic ABM Planning & Execution (1.5x+ growth impact)

• Global Event Management (3rd-party, owned, flagship)

• Cross-Functional Leadership (Sales, Ops, Brand)

• Data-Driven Marketing & KPI Ownership

• Enterprise Customer & Partner Engagement

Other Requirements:

• Requires global travel

• Average 2 days in the NYC office per week

Responsibilities:

• Develop and execute strategy for account based marketing

• Determine optimal event strategy for upper and lower funnel

• Lead execution of global events and operational best practices

• Create an annual global flagship event to build brand

• Develop KPIs to support pipeline objectives

Benefits:

• Regular team gatherings and Paris onboarding

• 20 days PTO + 5 days paid sick

• Competitive equity package

• $1000 one-time home office grant

• €1,000 annual learning and development budget

Experience Requirements:

• 1–2 years of experience in a corporate environment

• Experience as BDR or SDR in B2B SaaS or API-first

• Familiar with Apollo, Hubspot, and Sales Navigator

Other Requirements:

• Fluent in English

• Enthusiastic about AI

• Hybrid 3 days/week in Chelsea office

Responsibilities:

• Run targeted outbound via email, LinkedIn, and calls

• Qualify inbound leads and partner with Head of Sales

• Use sales tools to identify high-potential accounts

• Refine messaging and test campaigns with Marketing

• Hit monthly pipeline targets and log data in HubSpot

Benefits:

• Regular team gatherings and Paris onboarding

• 30 days annual leave

• Competitive equity package

• €1000 one-time home office grant

• €1,000 annual learning and development budget

Experience Requirements:

• 8-10+ years in B2B growth/marketing

• Scaling enterprise marketing from <$5M to $30M+ ARR

• Cross-functional leadership with Sales and RevOps

• Data-driven marketing and KPI ownership

• Experience in Product Led Sales and sales-led motions

Other Requirements:

• Requires global travel

• Experience in retail or ecommerce marketing (preferred)

Responsibilities:

• Lead GTM strategy and marketing execution for large enterprise

• Build product marketing, ICPs, and sales enablement assets

• Develop ABM and event strategy for top accounts

• Grow top of funnel through content and paid marketing

• Partner with Revenue Operations for scoring and reporting

Benefits:

• Regular team gatherings

• 30 days annual leave

• Competitive equity package

• €1000 one-time home office grant

• €1,000 annual learning and development budget

Experience Requirements:

• At least one year of professional experience

• Knowledge of P&L, analytics, and cost drivers

• Experience running analytics with spreadsheets

• SQL experience (or motivation to learn it)

Other Requirements:

• Rigorous and fast

• Able to work hybrid 3 days/week in Paris office

Responsibilities:

• Own monthly reporting including P&L and cost centers

• Act as finance partner to Marketing, Sales, and Product

• Turn raw data into clear stories and models

• Build scenarios and sensitivities for forecasting

• Automate recurring finance processes

Benefits:

• Quarterly physical meetups in awesome locations

• Flexible hours

• Hybrid work

• Competitive salaries

• Stock option possibilities

Education Requirements:

• Degree in computer science or comparable experience

Experience Requirements:

• 3+ years of professional experience building and deploying ML algorithms

Other Requirements:

• Excellent programming skills in Python, including clean/modular and production-ready code

• Deep understanding of LLM orchestration and multi-agent frameworks, preferably LangGraph

• Understanding of cloud systems (preferably AWS)

• Experience with Docker and Kubernetes is a plus

• Team player, inquisitive personality, and a (good) sense of humor

Responsibilities:

• Research and implement novel approaches to natural language understanding

• Architect solutions that seamlessly integrate with 200+ systems

• Iterate rapidly on techniques that deliver measurable business impact

• Shape product innovation

• Help define best practices in an emerging field

Benefits:

• Competitive salary, annual bonus and equity

• Regular compensation reviews

• Generous paid time off above statutory minimum

• Generous family leave (maternity, paternity)

• Hybrid working

Education Requirements:

• Typically have advanced education in ML or related field (e.g. MSc)

• PhD or other experience in a research environment

Experience Requirements:

• 3-5 years applied ML experience

• Track record shipping ML products

Other Requirements:

• Broad applied machine learning knowledge

• Practical stats knowledge

• Intermediate programming skills

• Strong communication skills

• Comfort with ambiguity

Responsibilities:

• Identify areas where ML can create value for our customers

• Identify the right ML framing of product problems

• Working with teammates and Product and Design stakeholders

• Conduct exploratory data analysis and research

• Research and identify the right algorithms and tools

Benefits:

• Competitive salary and equity

• Lunch served every weekday

• Regular compensation reviews

• Pension scheme & match up to 4%

• Health and dental insurance

Education Requirements:

• Typically have advanced education in ML or related field (e.g. MSc)

• PhD or other experience in a research environment

Experience Requirements:

• 3-5 years applied ML experience

• Track record shipping ML products

Other Requirements:

• Broad applied machine learning knowledge

• Practical stats knowledge

• Intermediate programming skills

• Strong communication skills

• Scientific thinking skills

Responsibilities:

• Identify areas where ML can create value for our customers

• Identify the right ML framing of product problems

• Working with teammates and Product and Design stakeholders

• Conduct exploratory data analysis and research

• Research and identify the right algorithms and tools

Benefits:

• Competitive salary and equity

• Lunch served every weekday

• Regular compensation reviews

• Pension scheme & match up to 4%

• Health and dental insurance

Education Requirements:

• Typically have advanced education in ML or related field (e.g. MSc)

• PhD or other experience in a research environment

Experience Requirements:

• 3-5 years applied ML experience

• Track record shipping ML products

Other Requirements:

• Broad applied machine learning knowledge

• Practical stats knowledge

• Intermediate programming skills

• Strong communication skills

• Scientific thinking skills

Responsibilities:

• Identify areas where ML can create value for our customers

• Identify the right ML framing of product problems

• Working with teammates and Product and Design stakeholders

• Conduct exploratory data analysis and research

• Research and identify the right algorithms and tools

Benefits:

• Competitive salary and equity

• Lunch served every weekday

• Regular compensation reviews

• Pension scheme & match up to 4%

• Health and dental insurance

Education Requirements:

• MSc or PhD in an ML-related field, or similar knowledge

Experience Requirements:

• Experience leading, developing and supporting ML teams

• A 5+ year track record of IC contributions

• Track record shipping ML user-facing products

• Experience in a research environment

Other Requirements:

• Excellent applied ML and coding skills

• Ability to thrive in an ambiguous environment

• Strong communication skills

• Data skills (visualization, SQL etc.)

• Knowledge of software engineering practices

Responsibilities:

• Managing, mentoring and coaching a team of 10+ ML scientists

• Collaborating with ML, engineering, product, and design leaders

• Enabling team productivity, performance and reliability

• Expanding the team and promoting its brand

• Technical advice and occasional code reviews

Benefits:

• Competitive salary and equity

• Lunch served every weekday

• Regular compensation reviews

• Pension scheme & match up to 4%

• Health and dental insurance

Experience Requirements:

• 5+ years of experience shipping high-quality products

• 1+ year of experience building ML-powered products (bonus)

Other Requirements:

• Deep knowledge of high-level programming language (Python, Ruby etc.)

• Ability to deep dive into any part of the tech stack

• Bias towards progress over perfection

• Excited about progress in the AI space

Responsibilities:

• Build the systems that power flagship AI products

• Bring proof-of-concept code to production

• Partner with ML engineers and scientists to build platforms

• Contribute to ideation, prototyping, and implementation

• Hiring, mentoring, and career development of other engineers

Benefits:

• Competitive salary and equity

• Lunch served every weekday

• Regular compensation reviews

• Pension scheme & match up to 4%

• Health and dental insurance

Education Requirements:

• BSc in Computer Science, Maths or Statistics or related discipline

Experience Requirements:

• 5+ years of experience shipping high-quality products

• Previous experience in data analytics or statistical role (bonus)

Other Requirements:

• No ML experience required

• Strong technical fundamentals

• Deep knowledge of a high-level programming language

• Bias towards progress over perfection

Responsibilities:

• Build the systems that power flagship AI products

• Bring proof-of-concept code to production

• Partner with product teams to shape AI experiences

• Contribute to ideation, prototyping, and testing

• Hiring, mentoring, and career development of other engineers

Benefits:

• Competitive salary, annual bonus and equity

• Regular compensation reviews

• Generous paid time off above statutory minimum

• Hybrid working

• MacBooks standard

Education Requirements:

• BSc in Computer Science, Maths or Statistics or related discipline

Experience Requirements:

• 5+ years of experience shipping high-quality products

• Previous experience in data analytics or statistical role (bonus)

Other Requirements:

• Deep knowledge of a high-level programming language

• Bias towards progress over perfection

• Strong willingness to fight for good outcomes

Responsibilities:

• Build the systems that power flagship AI products

• Bring proof-of-concept code to production

• Partner with product teams to shape AI experiences

• Contribute to all phases of software development

• Hiring, mentoring, and career development

Benefits:

• Competitive salary, annual bonus and equity

• Regular compensation reviews

• Generous paid time off above statutory minimum

• Hybrid working

• Fun events for Intercomrades

Experience Requirements:

• 5+ years of experience shipping high-quality products

• 1+ year of experience building ML-powered products (bonus)

Other Requirements:

• Deep knowledge of high-level programming language (Python, Ruby etc.)

• Ability to deep dive into any part of the tech stack

• Bias towards progress over perfection

• Excited about progress in the AI space

Responsibilities:

• Build the systems that power flagship AI products

• Bring proof-of-concept code to production

• Partner with ML engineers and scientists to build platforms

• Contribute to all phases of software development

• Hiring, mentoring, and career development

Benefits:

• Competitive salary and equity

• Lunch served every weekday

• Regular compensation reviews

• Pension scheme & match up to 4%

• Health and dental insurance

Education Requirements:

• Advanced education in math/stats (e.g. PhD or MSc) (bonus)

Experience Requirements:

• 5+ years of analytics / data science experience

• Strong track record of business or product analytics (bonus)

Other Requirements:

• Strong data wrangling skills (Snowflake)

• Excellent storytelling skills

• Extremely sharp applied statistical skills

• Intermediate programming skills

• Solid theoretical foundation in stats and ML

Responsibilities:

• Identify areas where ML can create value for our customers

• Conduct exploratory data analysis and research

• Help scientists and engineers analyse and visualize AI changes

• Use cutting edge AI tools (such as LLMs)

• Help understand core business and product questions