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:

• 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

Benefits:

• Competitive salary and equity

• Lunch served every weekday

• Regular compensation reviews

• Health and dental insurance

• Open vacation policy

Education Requirements:

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

• PhD or other experience in a research environment

Experience Requirements:

• 5-8 years applied ML experience

• Previous background in a senior/staff role

• Track record shipping ML products

Other Requirements:

• Strong programming skills

• Experience as the primary technical leader for a team

• Strong communication skills

• Scientific thinking skills

• Comfort with ambiguity

Responsibilities:

• Hiring, mentoring and career development of other engineers

• Raise the bar for technical standards and excellence

• Identify areas where ML can create value

• Identify the right ML framing of product problems

• Conduct exploratory data analysis and research

Experience Requirements:

• Experience with CMMC or defense-industry pipeline

• Experience in a closing role

• History of quota attainment

• Track record of average deal sizes

Other Requirements:

• Residency in specific US states (e.g., AZ, CA, CO, DE, FL, ID, IL, KS, LA, ME, MD, MA, MI, MN, NH, NJ, NY, NC, OH, OK, OR, PA, TN, TX, VA, DC, WI) or Canada

• Authorization to work in the US and/or Canada

Responsibilities:

• Develop CMMC or defense-industry pipeline

• Achieve sales quota attainment

• Secure meetings with defense contractors