AI Jobs

Benefits:

• Offers Equity

Experience Requirements:

• Top 10%-20% performance early in career

• Quota attainment in 100 to 30,000 FTE segment

• Typical deal sizes sold $30,000 - $250,000 ARR

Other Requirements:

• Love AI and applications of LLMs/GenAI

• Ability to consult with technical and business stakeholders

• Pipeline Generation mindset

• Thrives in fast-paced startup environments

Responsibilities:

• Running the full sales cycle for tailored solutions

• Generating pipelines proactively

• Multi-threading accounts and building business cases

• Becoming an AI product expert and strategic advisor

• Owning a specific vertical like a CEO

Benefits:

• Offers Equity

Experience Requirements:

• Top 10%-20% performance early in career

• Quota attainment in 100 to 30,000 FTE segment

• Typical deal sizes sold $30,000 - $250,000 ARR

Other Requirements:

• Love AI and applications of LLMs/GenAI

• Ability to consult with technical and business stakeholders

• Pipeline Generation mindset

• Thrives in fast-paced startup environments

Responsibilities:

• Running the full sales cycle for tailored solutions

• Generating pipelines proactively

• Multi-threading accounts and building business cases

• Becoming an AI product expert and strategic advisor

• Owning a specific vertical like a CEO

Benefits:

• Offers Equity

Experience Requirements:

• Experience in high-growth startup or scale-up environments

• Experience in sales or business development within SaaS

Other Requirements:

• Confident communicator with strong listening and writing skills

• Comfortable engaging technical senior stakeholders (CTO, CIO, CDO)

• Self-starter with a track record of overachievement

• Deeply pipeline-driven

Responsibilities:

• Owning account planning and territory strategy

• Driving outbound activity via cold calls, LinkedIn, and email

• Handling inbound leads efficiently

• Collaborating with Account Executives on target accounts

• Staying up to date on AI trends and industry developments

Benefits:

• Offers Equity

Experience Requirements:

• Experience in high-growth startup or scale-up environments

• Experience in sales or business development within SaaS

Other Requirements:

• Confident communicator with strong listening and writing skills

• Comfortable engaging technical senior stakeholders (CTO, CIO, CDO)

• Self-starter with a track record of overachievement

• Deeply pipeline-driven

Responsibilities:

• Owning account planning and territory strategy

• Driving outbound activity via cold calls, LinkedIn, and email

• Handling inbound leads efficiently

• Collaborating with Account Executives on target accounts

• Staying up to date on AI trends and industry developments

Benefits:

• Offers Equity

Education Requirements:

• ACA or ACCA newly qualified

Experience Requirements:

• Solid grounding in accounting principles and double-entry bookkeeping

• Experience in running full management accounts process and payroll

Other Requirements:

• Hands-on with Xero

• Detail-oriented with strong analytical skills

• Knowledge of transfer pricing and consolidating entities

• Proactive and adaptable

Responsibilities:

• End-to-end production of management accounts

• Prepare accruals, prepayments, and maintenance of schedules

• Run payroll for UK and EOR employees

• Bookkeeping for UK and US entities in Xero

• Manage supplier payments and employee expenses

Benefits:

• Offers Equity

Experience Requirements:

• Experience with functional programming (Elixir, Scala, GoLang, etc.)

• Infrastructure management at scale using AWS and Terraform

• Understanding of queue management and observability

• Experience with orchestration tools like Docker

• Knowledge of GenAI and prompt engineering

Other Requirements:

• Self-starter with a strong sense of product ownership

• Strives for impact and outcome-focused

• Places the customer at the heart of everything

Responsibilities:

• Enabling foundation models for multimodal data at scale

• Scaling the platform for multi-tenant usage patterns

• Building a rich suite of APIs for internal and customer products

• Shipping to production multiple times a day

• Collaborating with Product and Design to solve problems

Benefits:

• Offers Equity

Experience Requirements:

• Cloud security experience in AWS and GCP environments

• Hands-on experience with firewalls, SIEM tools, and scanners

• Proficiency in risk assessment and threat evaluation

• Strong networking knowledge (TCP/IP, protocols)

• Ability to code/script (Python, Elixir, etc.) to automate processes

Other Requirements:

• Self-motivated contributor with excellent communication skills

• Ability to translate complex concepts for technical and business audiences

• Bridge builder across teams

Responsibilities:

• Design and implement security strategies and policies

• Lead security assessments and penetration tests

• Monitor systems, networks, and logs for breaches

• Oversight of compliance standards (SOC2, HIPAA, ISO 27001, GDPR)

• Conduct security awareness training sessions

Benefits:

• Collaborative and fun culture

• Opportunity to shape things and see the company grow

• Build breakthrough AI technology

• Work with experts from MIT, Microsoft Research, Google, etc.

• Focus on health, passion, and satisfaction

Experience Requirements:

• 3-5 years of professional experience in software development

• Proven ability to work backwards from customer needs to deliver AI features

• Familiarity with distributed systems and cloud services (e.g., AWS, Azure, GCP)

• Solid understanding of machine learning principles

• Experience with container frameworks such as Docker or Kubernetes

Other Requirements:

• Proficiency in using REST APIs

• Smart, humble, hardworking, and collaborative traits

• Disciplined, professional, focused, gritty, resilient, and resourceful

• Strong beliefs weakly held

Responsibilities:

• Measure and ensure the high-quality output of AI workloads

• Deploy and manage production workloads for a global customer base

• Write, rewrite, and extend Python code and deploy to containers

• Perform prompt engineering for customer use cases

• Fine-tune and deploy Large Language Models (LLMs)

Benefits:

• 14 paid holidays

• Flexible PTO

• Medical, Dental, and Vision coverage

• Monthly HSA contributions

• Paid Parental Leave

Experience Requirements:

• 5+ years of experience in Data Engineering or Backend Engineering

• Proficient in at least one general purpose programming language (e.g., Python, Java, Scala) and SQL

• Proficiency with at least one modern cloud provider (GCP, AWS, Azure)

• Experience building systems for structured and unstructured data types

• Knowledge of Terraform, Kubernetes, and containerization

Other Requirements:

• Familiarity with deploying ML models at scale a bonus

Responsibilities:

• Build and maintain scalable data services, pipelines and storage solutions

• Build and manage OLAP databases, ELTs and general data tooling

• Optimize data infrastructure for throughput, latency and reliability

• Investigate and correct issues identified through data operations monitors

• Design data integrations and data quality framework

Benefits:

• 14 paid holidays

• Flexible PTO

• Medical, Dental, and Vision coverage

• Monthly HSA contributions

• Paid Parental Leave

Experience Requirements:

• 3 - 6+ years as a manager in rapidly growing organizations

• At least 1 year as a manager of managers

• Track record of leading performance engineering (load test and chaos engineering)

• Experience running production workloads in more than one cloud provider

• Experience managing workloads across containerized solutions and Kubernetes

Responsibilities:

• Scope, resource, and execute a company-wide reliability and engineering velocity roadmap

• Work at the level of small tiger teams to unblock and drive execution

• Recruit top ICs and managers to scale the team

• Mentor senior engineering staff and develop their careers

• Establish and maintain a hivemind, de-siloed culture across pods

Benefits:

• 14 paid holidays

• Flexible PTO

• Medical, Dental, and Vision coverage

• Monthly HSA contributions

• Paid Parental Leave

Experience Requirements:

• 8+ years of software engineering experience

• 3+ years of infrastructure-as-code experience

• Experience building on and scaling Kubernetes

• Experience creating and maintaining CI/CD pipelines (Terragrunt, Atlas, ArgoCD)

• Experience with monitoring and observability tooling (Grafana, Datadog)

Other Requirements:

• Must be willing to travel up to 10%

Responsibilities:

• Design, build, and scale cloud infrastructure (networking, IAM, K8s)

• Design and implement build pipelines and release management tooling

• Design, implement, and scale cloud security practices

• Improve observability, runbooks, and incident response muscle

• Bridge the gap between local development and production environments

Benefits:

• 14 paid holidays

• Flexible PTO

• Medical, Dental, and Vision coverage

• Monthly HSA contributions

• Paid Parental Leave

Experience Requirements:

• 8+ years of software engineering experience focused on distributed systems

• At least 2 years experience as a back-end engineer focused on performance

• Experience reducing latency through observability and profiling tools

• Experience building on and scaling Kubernetes

• Experience building software with backend languages (Python, GoLang, Node, Rust)

Other Requirements:

• Must be willing to travel up to 10%

Responsibilities:

• Identify and resolve performance and latency bottlenecks via load testing

• Drive software changes to rehome applications onto scalable infrastructure

• Identify and implement performance tuning parameters

• Build developer tools and software modules to help engineers build faster

• Work with application teams to establish and adopt SLOs and error budgets

Benefits:

• 14 paid holidays

• Flexible PTO

• Medical, Dental, and Vision coverage

• Monthly HSA contributions

• Paid Parental Leave

Experience Requirements:

• 5+ years as a software engineer

• 2+ years managing software engineering teams

• Experience in AI Infrastructure domain (LLM workflows, retrieval)

• Skilled in building secure systems in major cloud platforms (GCP preferred)

• Familiar with containers, databases, and modern frontend frameworks

Responsibilities:

• Recruit and mentor engineers with backgrounds in LLM-driven workflows

• Provide regular feedback and create career growth opportunities

• Work with ML/AI Research, Inference, and Data teams to support projects

• Guide architectural discussions and advocate for technology projects

• Set high standards for software quality and regulatory compliance