Benefits:

• equity

• employer-covered health/vision/dental insurance

• optional FSA

• 401k matching

• generous PTO allowance

Education Requirements:

• very strong CS, math, physics or similar degree from a leading program

• PhD applicants are actively considered

Experience Requirements:

• 4+ years experience building applications

• proven ability in writing clean, scalable code

• significant experience in one or more programming languages

• solid knowledge of programming fundamentals

• proven capability in creating a successful software product

Other Requirements:

• Excited to move fast and know how to prioritize

• Comfortable working outside of a traditional narrow engineering role

• Effective communication between technical and business staff

• Broad skillset blurring lines between engineering and data science

• Exceptional computational or business background

Responsibilities:

• envisioning, designing, coding, testing and improving products

• continual collaboration with data scientists and stakeholders

• building new back-end and front-end features

• instilling best practices like automated testing and code organization

• evaluating potential new technologies

Benefits:

• Company equity grants

• Employer-covered health, vision, and dental insurance

• 401k matching

• 20 days of PTO allowance per year

• 10 annual holidays

Education Requirements:

• Degree in a STEM discipline preferred (or equivalent practical experience)

Experience Requirements:

• 4+ years of experience in applied data science or machine learning

• Strong Python and SQL skills

• Experience developing and evaluating supervised ML models

• Practical experience with experimentation and statistical reasoning

• Familiarity with reinforcement learning or decisioning frameworks

Other Requirements:

• Demonstrated ability to independently frame problems

• Strong communication skills across technical and business audiences

• Experience in telecom, subscription, pricing, or churn analytics

• Exposure to contextual bandits or policy optimization

• Familiarity with AI agents

Responsibilities:

• Translate business asks into modeling tasks and evaluation frameworks

• Develop predictive models and decision logic

• Design and analyze A/B tests or staged rollouts

• Specify model inputs, outputs, and logging for monitoring

• Communicate findings and tradeoffs to stakeholders

Benefits:

• Comprehensive health insurance

• 401(k) and pre-tax benefits

• Unlimited PTO

• Travel budget

• Office Equipment allowance

Education Requirements:

• PhD or Master’s degree in Computer Science, Machine Learning, NLP, or a related field

Experience Requirements:

• Strong background in deep learning, large language models, and NLP techniques

• Track record of first-author publications in top AI/NLP conferences

• Proficiency in Python and deep learning frameworks (PyTorch, Transformers)

Other Requirements:

• 2+ years of industry applied ML research experience preferred

• Familiarity with retrieval-augmented generation and RL

Responsibilities:

• Formulate ML problems from product requirements

• Analyze existing ML systems and propose novel methodologies

• Create and productionize research prototypes

• Build novel ML evaluation datasets

• Mentor ML interns and publish research findings

Benefits:

• Comprehensive health insurance

• 401(k) and pre-tax benefits

• Unlimited PTO

• Travel budget

• Office Equipment allowance

Education Requirements:

• Bachelors in Computer Science, Engineering or related qualification

Experience Requirements:

• 5+ years experience in tech industry

• Experience in backend or distributed systems

• Experience in data/indexing/search systems at scale

• Expertise in building for scale and performance

Other Requirements:

• Proactive and eager to take ownership

• Fast iteration based on user engagement

• Excited about mentoring

Responsibilities:

• Develop and own core system components

• Design document ingestion systems at scale

• Provide engineering best practices

• Build extensible systems for business problems

Benefits:

• Comprehensive health insurance

• 401(k) and pre-tax benefits

• Unlimited PTO

• Travel budget

• Office Equipment allowance

Education Requirements:

• Bachelors in Computer Science, Engineering or related qualification

Experience Requirements:

• 3+ years experience in industry applied ML

• Experience in LLM model training, inference and eval

• Experience in serving ML models to a significant number of users

Other Requirements:

• Proactive and eager to take ownership

• Fast iteration based on user engagement

Responsibilities:

• Design scalable ML inference/training systems

• Automate ML pipelines at scale

• Productionize research prototypes

• Develop evaluations/models to improve core systems

Education Requirements:

• Currently pursuing a PhD or Master’s degree in Computer Science, Machine Learning, or NLP

Experience Requirements:

• Strong background in deep learning, LLMs, and NLP

• Track record of first-author publications in top AI/NLP conferences

• Proficiency in Python and deep learning frameworks

Other Requirements:

• Domain knowledge with RAG, RL and AI agent training is a plus

Responsibilities:

• Conduct original research in LLM training and RAG

• Develop and experiment with new models and algorithms

• Collaborate with in-house researchers

• Present findings through papers and technical talks

Benefits:

• Comprehensive health insurance

• 401(k) and pre-tax benefits

• Unlimited PTO

• Travel budget

• Office Equipment allowance

Experience Requirements:

• 5+ years of hands-on experience positioning B2B products

• Track record of delivering growth in demand

• Experience in financial services or fintech preferred

• Excellent written and verbal communication skills

• Expertise in account-based marketing strategies

Other Requirements:

• Self-starter mentality

• Proficient in social channel communications

• Experienced user of generative AI tools

Responsibilities:

• Develop product positioning and messaging

• Develop sales enablement materials

• Build and manage growth marketing channels

• Create and optimize conversion funnels

• Develop content marketing and thought leadership

Benefits:

• Comprehensive health insurance

• 401(k) and pre-tax benefits

• Unlimited PTO

• Travel budget

• Office Equipment allowance

Experience Requirements:

• 10+ years of hands-on experience positioning B2B products

• Track record of delivering growth in demand

• Experience in financial services or fintech preferred

• Excellent communication skills

• Expertise in account-based marketing

Other Requirements:

• Self-starter mentality

• Experienced user of generative AI tools

Responsibilities:

• Develop product positioning and messaging

• Develop sales enablement materials

• Build and manage growth marketing channels

• Create and optimize conversion funnels

• Develop content marketing and manage PR

Benefits:

• Comprehensive health insurance

• 401K

• Unlimited PTO

• Travel budget

• Office equipment allowance

Experience Requirements:

• 2+ years experience in Business Operations or Chief of Staff

• Track record of tackling ambiguous business problems

• Strong strategic thinking and operational execution

• Highly organized and detail-oriented

Other Requirements:

• Management consulting background preferred

Responsibilities:

• Drive cross-functional alignment

• Partner with CEO on strategic projects

• Support GTM execution and forecasting

• Aggregate company financials and modeling

• Own end-to-end execution of cross-company projects

Benefits:

• Comprehensive health insurance

• 401K

• Unlimited PTO

• Travel budget

• Office equipment allowance

Education Requirements:

• Advanced degree (MBA, CFA, CQF, MSc Finance, etc.) preferred

Experience Requirements:

• 3+ years of experience in a financial expert role

• Deep understanding of financial workflows

• Proven ability to influence senior decision-makers

• Excellent presentation and communication skills

Other Requirements:

• Proactive and self-driven mindset

• Prior experience in risk, quant, or trading systems preferred

Responsibilities:

• Support the full sales cycle with domain expertise

• Engage senior stakeholders in deep conversations

• Lead tailored demos and workshops

• Serve as a trusted advisor on AI potential

• Influence product roadmap as Voice of the Customer

Benefits:

• Social insurance coverage

• Annual paid leave (15 days)

• Full transportation allowance

• Referral bonus (300,000 JPY)

• Stock option system

Experience Requirements:

• Experience building prediction models (demand, churn) using large data

• Advanced analysis and implementation skills in Python/R and SQL

• Logical thinking to link analysis results to business impact

Other Requirements:

• Venture spirit to lead projects in a fast-paced environment

• Active participation in organizational growth and recruitment

Responsibilities:

• Utilize statistical analysis and ML to support client growth

• Construct prediction and optimization models for B2C clients

• Derive new insights from data for consulting projects

• Lead data-driven initiatives to resolve client resource shortages

Benefits:

• Social insurance coverage

• Annual paid leave (15 days)

• Full transportation allowance

• Referral bonus (300,000 JPY)

• Stock option system

Experience Requirements:

• Advanced visualization skills using BI tools (Tableau, Power BI, etc.)

• SQL skills for data extraction and processing

• Ability to find business issues from web and customer data

• Practical knowledge of KPI design and data quality management

Other Requirements:

• Commitment to final results and customer contribution

• Active involvement in team and organizational growth

Responsibilities:

• Collect, organize, and visualize project data

• Support identification of business challenges and improvements

• Provide reporting and insights from a business-side perspective

• Support data-driven growth strategies for B2C companies

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering

Experience Requirements:

• 8+ years of hands-on experience developing embedded software

• Strong experience with Embedded Linux and board bring-up

• Proficiency in C/C++

• Knowledge of Python, Bash, or scripting languages

• Experience with Yocto Project or Buildroot

Other Requirements:

• I2C

• SPI

• UART

• GPIO

• MIPI

• USB

• GDB

• Secure boot

• TrustZone

Responsibilities:

• Design and develop embedded Linux software for edge devices

• Implement core components like device drivers and system services

• Collaborate with product, hardware, and AI teams

• Translate product requirements into technical solutions

• Debug complex system-level issues across hardware and software

Benefits:

• medical, dental, vision, disability and life insurance

• 401(k) retirement savings with company match

• employee stock purchase plan

• education assistance

• paid time off (PTO)

Experience Requirements:

• 3-5 years experience managing a team of 8 or more Technical Support Engineers

• Experience of using AI in day to day work an advantage

Other Requirements:

• Fluent English speaker

• Be willing to support the team outside of hours as business needs

Responsibilities:

• Manage Support Engineers across multiple shifts and locations in EMEA

• Evaluate and refine the customer’s technical support experience

• Define and collect KPIs to manage capacity planning

• Interact with R&D and Product Management teams to diagnose escalated issues

• Use AI to drive efficiencies throughout the team

Benefits:

• medical, dental, vision, disability and life insurance

• 401(k) retirement savings with company match

• employee stock purchase plan

• parental leave

• company-paid holidays

Education Requirements:

• Professional accountancy qualification (e.g. ACCA/ACA)

Experience Requirements:

• Minimum of 5 years of post-qualification experience

• Experience working in Practice is preferred

• Strong technical accounting skills

• Excellent Excel skills

• Experience working with an ERP system

Other Requirements:

• Fluency in a second language like French, Polish, Arabic, or Spanish is advantageous

Responsibilities:

• Main contact for Ireland and UK statutory FRS 102 audits

• Support preparation of annual Corporation Tax Return and R&D Credit Claims

• Prepare and submit VIES, 46G and other tax returns

• Manage bank account opening, closing and KYC process

• Lead the implementation of process automations

Benefits:

• stock options

Education Requirements:

• BA/BS or equivalent working experience

• Bachelor’s degree in English, Journalism, Public Relations or related communications field

• MBA in marketing a plus

Experience Requirements:

• 3-5 years of experience as a high potential specialist in multichannel content creation

• Experience with creating compelling messages for different target demographics

• Experience creating content for the web and growing a social audience

Other Requirements:

• Experience with WordPress, Google analytics, Slideshare, and the top social channels

• Project management skills

• Expertise in Adobe Creative Suite, Microsoft Office

Responsibilities:

• Accountable for all content marketing initiatives to drive traffic, engagement, leads

• Collaborates across functions to deliver content marketing strategy

• Editorial requirements include understanding customer segmentation and specific needs

• Channel management of digital content hubs and supporting social channels

• Measurement and optimization of the program

Experience Requirements:

• 8+ years of experience in solution architecture

• 2 years focused on Microsoft Power Platform (Power Apps, Power Automate, Dataverse, Power BI)

• Proven track record designing enterprise-scale workflow and data integration solutions across Microsoft and SAP ecosystems

• Understanding of SAP ECC or S/4HANA master data, validation rules, and common automation use cases

• Experience with Azure Logic Apps, API Management, and SAP connectors/gateways

Other Requirements:

• Proficiency in agile delivery, backlog management, and iterative development using tools such as Azure DevOps

• Strong knowledge of data governance, security models, and change management in enterprise automation

• Experience with Winshuttle migration projects or similar SAP data-automation modernization efforts (Preferred)

• Microsoft Certified: Power Platform Solution Architect Expert or Azure Solutions Architect Expert (Preferred)

Responsibilities:

• Lead design and implementation of Power Platform solutions

• Architect modular, reusable frameworks for SAP master data loads with validation and security workflows

• Define end-to-end architecture including Power Apps, Power Automate, Dataverse, and Azure connectors

• Oversee technical design documents (FDD, TDD, SDD) and alignment with project objectives

• Establish CI/CD pipelines, monitoring, and logging frameworks for Power Platform applications

Experience Requirements:

• 6 - 10 years leading 3 - 6 engineer pods in high-availability, high-frequency deploy shops

• Experience building and operating realtime/distributed systems (workflow engines, WebRTC/telephony, large fan-out queues)

Other Requirements:

• TypeScript/Node.js

• Python

• AWS

• Terraform

• Kubernetes

• OpenTelemetry

• SigNoz

Responsibilities:

• Technical direction across the stack - backend, frontend, and infra

• Team leadership: unblock engineers, set clear priorities, run lightweight design reviews

• System reliability: ensure platform stays fast, observable, and stable

• Hands-on delivery: contribute to key projects weekly

• Cross-functional glue: keep product and operations connected

Experience Requirements:

• Senior/staff experience running distributed backends with real-time/streaming constraints

• Shipped production LLM apps

• Understanding of prompt/tool design, evals, and guardrail instrumentation

Other Requirements:

• TypeScript/Node.js

• Python

• Temporal

• Redis

• PostgreSQL

• AWS

• Terraform

• Kubernetes

Responsibilities:

• Own core services in TypeScript/Node.js and Python

• Scale platform for 10K parallel calls with 99.99% uptime

• Harden pipelines for ingestion, evaluation, and analytics

• Level-up observability using OpenTelemetry/SigNoz

• Prototype, test, and ship new LLM-driven behaviors