AI Jobs

Benefits:

• Opportunity to work on innovative AI products

• Collaborate with a passionate and talented team

• Competitive salary and benefits package

• A culture that encourages growth, learning, and innovation

Experience Requirements:

• 2–4 years of experience as a backend or systems developer

• Solid experience with PostgreSQL (schema design, performance tuning, advanced queries)

• Strong understanding of system-level programming using C or C++

Other Requirements:

• Strong proficiency in Go (Golang)

• Experience building scalable, distributed systems or microservices

• Familiarity with concurrency models, memory management, and networking concepts

• Passionate about technology, self-driven, and proactive with a builder mindset

Responsibilities:

• Design, build, and maintain backend services using Go (Golang)

• Develop efficient, reliable, and high-performance solutions

• Work with relational database schemas and optimize queries using PostgreSQL

• Collaborate with cross-functional teams to architect scalable systems

• Write clean, maintainable, and well-documented code

Benefits:

• Competitive pay

• Equity

• Benefits

• International offsite

Experience Requirements:

• Experience building complex web products end-to-end

• Expertise working on all parts of the stack

• Proficiency with Ruby on Rails and React

• Strong written communication skills

• Desire and ability to work autonomously

Other Requirements:

• High empathy

• Remote work in the Americas

• Low-meeting culture

• Documentation-first culture

Responsibilities:

• Own development of product features end-to-end

• Scoping, architecting, coding, testing, and rolling out features

• Work closely with engineers and designers

• Make improvements to developer productivity

• Mentorship

Benefits:

• Front-row seat to how a YC-backed deep tech company is built

• Direct exposure to startup leadership

• Flexible working hours

• Competitive compensation tailored to experience

Experience Requirements:

• At least 2-3 years of recent experience at top audit firms

• Expertise in U.S. auditing standards

Other Requirements:

• Background in audit, ideally from Big 4

• Fluent in English

• Strong analytical and quantitative skills

• Clear and precise communication

Responsibilities:

• Create tasks that replicate E2E audit workflows

• Create or acquire necessary data for the workflow

• Create tasks and decision points within the workflow

• Provide solution to decision points with justifications

Benefits:

• Front-row seat to how a YC-backed deep tech company is built

• Direct exposure to startup leadership

• Flexible working hours

• Competitive compensation tailored to experience

Experience Requirements:

• At least 2-3 years of recent experience at a top enterprise

Other Requirements:

• Fluent in English

• Strong analytical and quantitative skills

• Clear and precise communication

• Proficient in Customer Support software and tools

• Professional experience with AI Tools

Responsibilities:

• Create tasks that replicate E2E customer support workflows

• Create or acquire necessary data for the workflow

• Create tasks and decision points within the workflow

• Provide solution to decision points with justifications

Benefits:

• Front-row seat to how a YC-backed deep tech company is built

• Direct exposure to startup leadership

• Flexible working hours

• Competitive compensation tailored to experience

Experience Requirements:

• At least 2-3 years of recent experience at top companies

Other Requirements:

• Fluent in English

• Strong analytical and quantitative skills

• Clear and precise communication

• Daily experience using LLMs

• Daily experience with Engineering software

Responsibilities:

• Create tasks that replicate E2E Engineering Workflows

• Create or acquire necessary data for the workflow

• Create tasks and decision points within the workflow

• Provide solution to decision points with justifications

Responsibilities:

• Shape experiences that make complex workflows feel simple.

• Collaborate closely with product managers and engineers to turn ideas into intuitive interfaces.

• Reduces wasted effort by cutting duplication and rework.

• Empowers teams to make faster, better decisions.

• Creates accountability without micromanagement.

Benefits:

• comprehensive health, dental, and vision benefits

• Employer RRSP and 401K matching programs

• regular health and team challenges

• additional insurance options

Experience Requirements:

• Experience selling SaaS or Microsoft ecosystem solutions into large enterprise accounts

• Comfort managing long, complex sales cycles with multiple stakeholders

• Familiarity with sales methodologies such as MEDDPICC, Challenger, or Sandler

• Experience partnering with Solution Consultants or presales teams to shape deals

• Experience selling PPM, work management, or planning software

Other Requirements:

• Consultative approach that builds trust

• Confidence engaging C-suite and senior leaders on strategic business outcomes

• Strong ownership mindset with steady communication and follow through

• Understanding of Microsoft’s co-sell programs and partner ecosystem

• Comfort configuring product scenarios or hands-on demos

Responsibilities:

• Manage the full sales cycle from prospecting to close for enterprise accounts

• Work directly with C-suite and senior leaders to understand goals

• Deliver tailored demos and lead technical discovery

• Create territory plans and account strategies

• Maintain accurate pipeline and forecasts in Salesforce

Benefits:

• Generous compensation in cash and equity

• Early exercise for all options

• Flexible paid time off and Year-end break

• Health insurance, dental, and vision

• 4% matching in 401k / RRSP

Experience Requirements:

• 6+ years of experience in DevOps, SRE, or software engineering roles

Other Requirements:

• Proficiency in Python or Go

• Experience with Kubernetes, ArgoCD, Helm, and Terraform

• Familiarity with GCP

• Hands-on experience with observability tools like Prometheus or Datadog

Responsibilities:

• Own and evolve DevOps and platform engineering function

• Design and maintain secure, scalable CI/CD pipelines

• Improve observability via Datadog, GCP, and custom dashboards

• Implement and maintain FinOps governance

• Enable developer productivity by creating internal tooling

Benefits:

• Generous compensation in cash and equity

• Early exercise for all options

• Work from anywhere: Remote-first Culture

• Flexible paid time off

• MacBook Pro

Experience Requirements:

• 2–3+ years of commercial backend development experience

Other Requirements:

• Deep understanding of Go

• Strong experience with various databases (SQL & NoSQL)

• Hands-on experience with public clouds (AWS or GCP)

• Experience building distributed systems

Responsibilities:

• Design and implement high-performance microservices using Go

• Analyze and improve efficiency of infrastructure

• Define architectural patterns for database usage and API design

• Work with Cloud environments for resilience and security

Benefits:

• Generous compensation in cash and equity

• Early exercise for all options

• Flexible paid time off

• Health insurance coverage

• Annual health and wellness stipend

Education Requirements:

• Bachelor's or Master's in Computer Science, Engineering, or a related discipline

Experience Requirements:

• 5+ years in software engineering

• Backend experience in Go or Python

• Hands-on experience with applied ML using large datasets

Other Requirements:

• Strong SQL skills

• Experience with feature pipelines and model deployment

• Excellent communication skills in English

Responsibilities:

• Build and optimize data pipelines and backend services

• Develop and deploy ML models for fraud detection

• Turn raw data into production-ready features

• Collaborate with platform and backend engineers

• Maintain high standards of security and compliance

Benefits:

• Generous compensation in cash and equity

• Early exercise for all options

• Remote-first Culture

• Monthly meal stipend

• Annual Learning stipend

Experience Requirements:

• 5+ years of experience specializing in web backend development

Other Requirements:

• Proficiency in Golang is a significant advantage

• Experience in data engineering is highly desirable

• Proficient in English

Responsibilities:

• Design, create, and maintain robust backend services

• Collaborate with stakeholders to architect new services

• Contribute to technical roadmaps

• Craft and maintain user-facing technical documentation

• Shape company engineering culture

Benefits:

• Generous compensation in cash and equity

• Flexible paid time off

• 4% matching in 401k / RRSP

• Home office stipend

• Monthly social meet-up stipend

Experience Requirements:

• 2–3+ years of commercial backend development experience

Other Requirements:

• Deep understanding of Go

• Experience with SQL & NoSQL databases

• Foundational knowledge of Networking and Kubernetes

Responsibilities:

• Design and implement high-performance microservices

• Optimize core infrastructure efficiency

• Define architectural standards

• Automate platform resilience using IaC

Benefits:

• Generous compensation in cash and equity

• Early exercise for all options

• Remote-first Culture

• Health, dental, and vision insurance

• 4% matching in 401k / RRSP

Experience Requirements:

• Minimum of 7 years of proven experience as a Software Engineer

Other Requirements:

• Proficiency in Golang is a significant advantage

• Track record of high-throughput data processing

• Proficient in English

Responsibilities:

• Own and lead development of compliance platform

• Design systems for KYC, sanctions, and transaction monitoring

• Build and optimize case management pipelines

• Develop integrations with regulatory reporting systems

• Mentor engineers and drive technical strategy

Benefits:

• Generous compensation in cash and equity

• Flexible paid time off

• Health insurance coverage

• Annual health and wellness stipend

• Monthly meal stipend

Education Requirements:

• Advanced degree in a quantitative field (Mathematics, Statistics, Computer Science, etc.)

Experience Requirements:

• 5+ years of experience in data science or quantitative modeling

Other Requirements:

• Strong working knowledge of Python, R, Spark, or SQL

• Critical thinking and problem-solving skills

• Ability to explain technical findings to non-technical stakeholders

Responsibilities:

• Build and deploy ML models to prevent fraud

• Support development of risk mitigation strategies

• Work directly with clients to deliver solutions

• Evolve risk metrics and measurement of impact

• Collaborate with engineering to scale models

Benefits:

• Generous compensation in cash and equity

• Early exercise for all options

• Flexible paid time off

• Health, dental, and vision insurance

• 4% matching in 401k / RRSP

Experience Requirements:

• 4+ years in fraud prevention, investigations, or risk management

Other Requirements:

• Strong SQL skills

• Experience with BigQuery or Metabase

• High ownership mindset

Responsibilities:

• Deep-dive into sessions and transactions to uncover fraud

• Turn manual reviews into repeatable insights

• Manage active fraud attacks with urgency

• Recommend and optimize risk rules

• Participate in on-call rotation for fraud attacks

Benefits:

• Generous compensation in cash and equity

• Early exercise for all options

• Health insurance coverage

• Home office stipend

• Annual Learning stipend

Experience Requirements:

• 5+ years of experience in data engineering, analytics engineering, or BI

Other Requirements:

• Ability to manage data integrations (Salesforce, Hubspot, BigQuery)

• Experience with Python for automation

• Exceptional SQL skills

• Experience with modern data stack (dbt, Fivetran, Airflow)

Responsibilities:

• Build and own internal data infrastructure

• Design and implement ETL/ELT pipelines

• Partner with stakeholders to define and track KPIs

• Champion data quality and governance

• Develop dashboards for executive leadership

Benefits:

• Competitive salaries and equity options

• Comprehensive health, dental, and vision insurance

• Generous vacation and paid time-off policies

• Remote work flexibility

• Yearly stipend for personal development

Experience Requirements:

• machine learning experience

Benefits:

• Private medical care

• Multisport card

• Flexible working hours

• English lessons

• Training budget

Experience Requirements:

• Good knowledge of Python and SQL

• Experience with cloud computing platforms (Azure/GCP/AWS)

• Experience with containerization technologies (Docker/Kubernetes)

• Experience with ETL and Big Data elements (Spark, Kafka, etc.)

• Experience with data-wrangling libraries such as Pandas or Polars

Other Requirements:

• Interest in the AI/ML area

• Proactive approach to problem-solving

• Basic experience in DevOps

Responsibilities:

• Designing, developing, and maintaining data pipelines (ETL/ ELTs)

• Working with a variety of data sources

• Ensuring the stability and performance of data pipelines

• Collaborating with Data Scientists, Software Engineers, and other specialists

• Analyzing new potential data sources and integrating them to existing pipelines