Benefits:

• Attractive Health Plan

• Uncapped Commission Plan

• Dedicated weekly time for education/training

• 25 Days Paid Vacation

• Paid Sick and Personal Leave and Public Holidays

Education Requirements:

• Microsoft certifications (Azure, Power Platform, Developer) are a plus

Experience Requirements:

• Strong proficiency with TypeScript, JavaScript (ES6+), React, and Angular

• Excellent .NET Core / .NET 6+ Web API development experience

• Python programming experience for backend automation and AI workflows

• Expert-level knowledge of MongoDB and NoSQL design

• Experience with LLMs, RAG patterns, vector stores, and AI agent development

Other Requirements:

• USA Permanent Resident, Citizen, or valid EAD holder

• Willing to commute 2-3 days per week to Newark, NJ

• Start immediately or within the next 2 weeks

• Knowledge of legal industry processes is a plus

• Background check (driving record, education, and employment records)

Responsibilities:

• Design and build full-stack solutions using .NET Core APIs and React/Angular

• Develop AI-driven applications using OpenAI, Azure OpenAI, Gemini, and Claude

• Build chatbot workflows, vector searches, and prompt engineering pipelines

• Prepare technical designs, architecture diagrams, and implementation plans

• Build enterprise dashboards using Power BI and manage datasets in Microsoft Fabric

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

Experience Requirements:

• 3+ years building customer-facing products in a high-velocity environment

Other Requirements:

• Fluent in TypeScript

• React/Next.js

• Node services

Responsibilities:

• Own product features end-to-end: spec, prototype, ship, iterate

• Work closely with customers to drive adoption and outcomes

• Build core customer workflows for voice-agent QA

• Turn messy, high-dimensional data into product experiences

• Maintain high engineering velocity while keeping craftsmanship

Experience Requirements:

• 3+ years of quota-carrying closing experience in B2B SaaS (mid-market and/or enterprise)

• Demonstrated ability to run complex sales cycles with technical stakeholders

Other Requirements:

• Knowledge of developer tools, infra, observability, testing, or AI platforms

• Familiarity with voice AI stacks (telephony/WebRTC, STT/TTS, LLM tool calling)

Responsibilities:

• Own revenue outcomes end-to-end: prospecting and closing deals

• Run full-cycle sales: pipeline creation, discovery, demos, and negotiation

• Lead multi-threaded sales cycles across engineering, product, and AI teams

• Translate technical product value into quantified business outcomes

• Drive structured evaluations and pilots

Experience Requirements:

• 1+ years in SDR/BDR, sales, recruiting, or another performance-based role

Other Requirements:

• Strong written communication

• High agency

• Operational discipline

Responsibilities:

• Own outbound pipeline generation across email, LinkedIn, calls, and events

• Research and prioritize target accounts in industries adopting voice agents

• Identify key stakeholders and map organizations

• Personalize outreach using technical and business context

• Qualify inbound leads quickly and route or convert them into meetings

Benefits:

• Health coverage

• Equity awards

• Flexible time off

• Fun and challenging work environment

• Technical mentorship and growth

Education Requirements:

• PhD in Computer Science, AI, Linguistics, Applied Physics or related fields

Experience Requirements:

• Extensive experience with large language models

• Proficiency in PyTorch

• Proficiency in Python

Other Requirements:

• Analytical and Problem-Solving Skills

• Communication and Collaboration Skills

• Innovation and Continuous Learning

Responsibilities:

• Design and maintain various components of the Beehive AI algorithms and LLMs

• Work independently on the full cycle of development

• Research and experiment with generative AI solutions

• Implement and productionalize AI components

Benefits:

• Opportunity to work with cutting-edge AI technologies

• Flexible working arrangements

• Competitive salary

• Benefits

• Professional development opportunities

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field

Experience Requirements:

• Minimum 1 year of experience in AI/ML development

• Minimum 5 years proven experience with Python and JavaScript

Other Requirements:

• Familiarity with agentic systems, RAG techniques, and LangGraph

• Experience with gateway routing abstractions, Svelte, AWS, and relational databases

• Strong understanding of SDLC, OOP concepts, and clean coding practices

• Excellent problem-solving and communication skills

Responsibilities:

• Apply the full software development life cycle (SDLC) for AI components

• Write clean, maintainable code following best practices and design patterns

• Develop detailed documentation for system functionality

• Integrate AI solutions seamlessly using Python and JavaScript

• Implement and optimize agentic systems and RAG techniques

Benefits:

• Competitive commission scheme

• 25 days holiday rising to 30 with service

• Company pension

• Equity option scheme

• Hybrid and flexible working

Experience Requirements:

• Proven experience selling into private sector organisations, ideally professional or technical services

• Experience owning a sales pipeline from lead generation through to close

• Experience shaping proposals, statements of work or similar

• Experience working closely with marketing or community functions

• Experience in a startup or scale-up environment is a plus

Other Requirements:

• Willingness to travel to customers as needed

• Comfortable working independently and building a book of business from scratch

• Strong communication skills with both technical and non-technical stakeholders

• Interest or working knowledge of AI, data science or MLOps, with a willingness to learn

Responsibilities:

• Own private sector revenue targets

• Identify and qualify new customers through outbound activity and community-led inbound

• Develop and manage a clear, forecastable sales pipeline

• Lead commercial conversations, proposals and deal negotiation

• Work with engineers to scope work that is valuable, deliverable and extensible

Benefits:

• Lunch Allowance / Cantine

• Private Health Insurance

• Home Office Flexibility

• Company Mobile Phone

• Employee Parking

Education Requirements:

• Degree in Computer Science, Robotics or a related field

Experience Requirements:

• 3+ years of experience in test automation, DevOps, or software test engineering

• Software engineering skills for test harness development and automation tooling

Other Requirements:

• Advanced skills with CI/CD systems like Gitlab CI

• Familiarity with Linux and Debian-based distributions

• Ease communicating in English

Responsibilities:

• Developing and scaling automated test execution pipelines

• Ensuring automated regression tests run reliably and reproducibly

• Implementing CI/CD integrations and infrastructure improvements

• Supporting the Robotic Systems team in extending coverage

Benefits:

• Lunch Allowance / Cantine

• Private Health Insurance

• Home Office Flexibility

• Company Mobile Phone

• Employee Parking

Education Requirements:

• Degree in Computer Science or a related field

Experience Requirements:

• 3+ years of professional experience in full stack development

• Experience with Typescript, React, CSS, Python

Other Requirements:

• Strong communication skills

• Fluent in English

• Enjoys collaborating with talented colleagues

• Bonus points for experience with PostgreSQL, Docker, Rust, or agentic LLMs

Responsibilities:

• Design and develop internal tools for developer productivity

• Build and maintain CLI or full-stack web applications

• Contribute new features and improvements to product web frontends

• Collaborate closely with robotics engineers and product teams

• Write clean and maintainable code with a focus on reliability

Benefits:

• Lunch Allowance / Cantine

• Private Health Insurance

• Home Office Flexibility

• Company Mobile Phone

• Employee Parking

Education Requirements:

• Degree in Computer Science, Robotics or a related field

Experience Requirements:

• 3+ years of industry experience in software engineering, robotics or computer vision

• Strong C++ and Python skills

Other Requirements:

• Familiarity with profiling tools, performance tuning, and debugging

• Capability to work both autonomously and as part of a collaborative team

• Ease communicating in English

Responsibilities:

• Work on the software backbone of our VSLAM system

• Produce and maintain modern, high-quality C++ and Python code

• Design and maintain VSLAM-centric automated tests

• Develop internal tooling like logging systems and KPI tracking

• Collaborate closely with SLAM experts to validate new algorithmic components

Benefits:

• Competitive salary and equity

• Access to cutting-edge AI infrastructure and resources

• Team offsite

• Learning budget for AI courses, books, and resources

• Dynamic and intellectually stimulating work environment

Experience Requirements:

• 5+ years of hands-on ML/AI experience

• At least 1 year of hands-on experience in GenAI/LLM projects

• Track record of successfully deploying ML/AI systems in production

• Experience working with enterprise customers

Other Requirements:

• Experience with vector databases and RAG pipelines

• Proficiency in model compression and distillation

• Expertise in semantic search and embedding models

Responsibilities:

• Design and implement sophisticated multi-agent systems

• Build and optimize retrieval-augmented generation pipelines

• Implement advanced techniques (LoRA, Prompt Tuning) to adapt models

• Develop and optimize cloud-native architectures

• Implement robust security measures for LLM applications

Experience Requirements:

• Prior CFO experience with SEC public markets required

• Deep SEC public experience

• Experience thriving in a dynamic, high-growth environment

Other Requirements:

• Strong communication skills and confidence engaging with investors

• Willingness to travel as needed for investor relations and headquarters visits

Responsibilities:

• Lead investor relations strategy and communication with institutional and other potential investors

• Review and approve quarterly financial statements and related disclosures

• Prepare MD&A analysis for investors

• Sign all SEC public company filings as Skyfish's CFO

• Collaborate closely with an experienced internal finance team

Benefits:

• Remote-first working across the UK

• Work abroad policy

• 34 days holiday and your birthday off

• Flexible benefits platform

• Private health- and dental care

Experience Requirements:

• Extensive SaaS sales experience with a proven track record

• Experience in navigating and mapping large enterprise accounts

• Exposure to negotiating complex, customised commercial agreements

Other Requirements:

• A-player mindset and self-starter mentality

• A consultative sales approach

• Excellent communication skills and ability to present confidently

Responsibilities:

• Responsible for the entire sales cycle from prospecting to close

• Achieve new business and account growth revenue targets

• Engage with C-level executives and senior decision-makers

• Partner with Marketing, Customer Success and Product teams

• Develop deep knowledge of AI applications in Financial Services

Benefits:

• Remote-first working across the UK

• Work abroad policy

• 34 days holiday and your birthday off

• Flexible benefits platform

• Private health- and dental care

Education Requirements:

• Degree in Computer Science, Engineering, Data Science or similar

Experience Requirements:

• Industry experience in DevOps or MLOps roles

• Hands-on with Docker, Kubernetes, and Terraform

• Strong scripting skills in Python or Bash

• 2 years +

Other Requirements:

• Familiar with ML lifecycle tools, model monitoring, and versioning

• Exposure to tools like KServe, Ray Serve, Triton, or vLLM is a plus

Responsibilities:

• Automating Machine Learning workflows with AWS & GitOps

• Deploying LLMs using Kubernetes & Docker

• Building infrastructure with Terraform & Helm

• Monitoring and maintaining ML models with performance alerts

• Supporting CI/CD for ML pipelines

Benefits:

• Health and Dental Plan

• Life Insurance

• Flash Benefits (Meal/Food/Home Office)

• Extended Parental Leave

• Childcare aid

Education Requirements:

• Education incentives

Experience Requirements:

• Proven experience in Talent Acquisition (startups or tech companies preferred)

• Experience with technical and business recruiting

• Practical experience with active sourcing strategies

Other Requirements:

• High autonomy and ownership

• Excellent communication and organization skills

• Advanced or fluent English

Responsibilities:

• Responsible for end-to-end recruitment of technical and non-technical positions

• Act as a strategic partner to the People team and leadership

• Design and execute active sourcing strategies across multiple channels

• Conduct structured interviews and behavioral/technical evaluations

• Track and analyze recruitment metrics (time-to-hire, pipeline, etc.)

Benefits:

• Health and Dental Plan

• Life Insurance

• Flash Benefits (Meal/Food/Home Office)

• Extended Parental Leave

• Childcare aid

Education Requirements:

• Degree in Data Science, Statistics, Mathematics, Computing or related areas

Experience Requirements:

• Solid experience as a Senior Data Scientist or equivalent

• 3+ years of experience in industry or retail (large scale data contexts)

• Experience in market analysis, CRM, pricing, or commercial planning

Other Requirements:

• Advanced proficiency in Python and SQL

• Mastery of descriptive and inferential statistics

• Experience with BI tools (Power BI, Tableau or similar)

• Advanced English

Responsibilities:

• Analyze large volumes of data to identify patterns and business opportunities

• Translate analysis into actionable recommendations for strategy

• Partner with Sales, Solutions, and Product teams

• Build and maintain executive dashboards for decision-making

• Operationalize analytical solutions and models for client-oriented deliveries

Benefits:

• Health and Dental Plan

• Life Insurance

• Flash Benefits (Meal/Food/Home Office)

• Extended Parental Leave

• Childcare aid

Education Requirements:

• Degree in IT, Engineering, Data Science or related areas

Experience Requirements:

• 5+ years of experience in Data Engineering

• Advanced mastery of SQL and dbt (modular modeling and tests)

• Experience with AWS ecosystem (S3, Glue, Athena, Redshift)

Other Requirements:

• Experience with distributed processing (Spark/Hadoop)

• Proficiency in Python, Java, or Golang

• Knowledge of Scala, SPARQL, GraphQL, and Delta Lake

• Advanced English

Responsibilities:

• Project, build, and maintain scalable and reliable data pipelines

• Automate ETL/ELT processes ensuring efficiency and quality

• Ensure data availability, integrity, and consistency

• Develop reusable components to support solution scalability

• Collaborate with Engineering, Product, and Solutions teams

Benefits:

• AI Deployment experience

• Flexible work hours

• Global project opportunities

• Series A backed company

• Support for work tools

Experience Requirements:

• Experience irrelevant

• Solve problems with Python/Node/Go

• Docker/Kubernetes understanding

Other Requirements:

• 3 months commitment

• 3+ days office work per week

• Interest in AI domain

Responsibilities:

• Define customer technical problems

• Design solutions using STORM

• On-site technical support

• Product feedback and improvement