Jobs

About Revenue Grid

Revenue Grid is a B2B SaaS Revenue Intelligence platform helping sales teams across the US eliminate revenue leaks and make better, data-driven decisions.

We are actively growing our Applied AI & Generative AI direction — a focused engineering team working on real, production-level AI features embedded directly into the product, not experimental demos.

Our goal is to turn LLM capabilities into reliable, scalable tools that solve concrete business problems for sales teams.

What You’ll Do

• Design and implement AI-powered features using Large Language Models (LLMs)
• Build and evolve RAG pipelines, agent-based workflows, and multi-step reasoning systems
• Work hands-on with LangChain and/or LangGraph
• Develop PoCs and MVPs and take them to production-ready solutions
• Integrate AI services with existing backend systems and data sources
• Collaborate closely with product, backend, and data teams
• Continuously experiment with new tools, frameworks, and techniques in applied AI

What You Bring

• Strong Python skills and solid software engineering fundamentals
• Practical experience with prompt engineering
• Hands-on experience with LangChain and/or LangGraph
• Good understanding of LLMs, embeddings, vector databases, and RAG architectures
• Experience working with LLM APIs (OpenAI, Anthropic, Azure OpenAI, etc.)
• Ability to design reliable AI workflows rather than just calling an API
• Product-oriented mindset and ownership mentality

Nice to Have

• Experience with FastAPI
• MLOps or LLM evaluation and monitoring
• Experience with Kafka or data streaming
• Cloud platforms (AWS, GCP, Azure)
• Background in SaaS / B2B products

Why Revenue Grid

• Remote-first setup with flexible working hours
• Real ownership and autonomy — no micromanagement
• Applied AI in production, not just research
• Unlimited vacation policy
• Medical insurance after the trial period
• Strong product culture and experienced engineering team
• Opportunity to grow into AI Architect or Technical Lead roles

Ready to build real AI features used by thousands of sales professionals? 
We’d love to meet you — apply now.

Description

Our Client is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. 

In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth.

Global data products and technology company. We’re on a mission to transform marketing by building the fastest, most connected data platform that bridges marketing strategy to scaled activation.

We work with agencies and clients to transform the value of data by bringing together technology, data and analytics capabilities. We deliver this through the Open Media Studio, an AI-enabled media and data platform for the next era of advertising.

We’re endlessly curious. Our team of thinkers, builders, creators and problem solvers are over 1,000 strong, across 20 markets around the world.

Requirements

Essential

• GCP (esp Vertex, BigQuery, Model Registry)
• Python (needs to be very strong)
• Docker
• FastAPI (or similar)
• SQL
• Terraform
• Strong understanding or even hands-on ML experience
• Package management (uv is cool, but don’t mind others e.g. poetry; we work with a whole range here)
• Scalable experimentation & model tracking (no specific tech as we’re using native GCP logging and metadata store atm, but as we mature open-source tech e.g. MLFlow will be brilliant), and Scalable ML deployment experience (i.e. standing up an inference endpoint for hardly no traffic doesn’t count)

Desirable:

• FTI (Feature/Training/Inference) framework
• Common ML frameworks (such as PyTorch, Sklearn)

Bonus:

• RAG
• LLM orchestration tool e.g LangGraph,
• Reinforcement Learning tools e.g. OpenaiGym, RLib

Job responsibilities

The Machine Learning Engineer is responsible for deploying and maintaining the algorithms developed by data scientists. This role will be part of the Optimize Data Science team (3 FTEs plus seconded team of 5 FTEs)

While Data Scientists focus on research and model development, the ML Engineer is responsible for the technical infrastructure, scaling, performance optimization, and maintenance of the models. Their work involves implementing, testing, deploying, and monitoring the models in a production environment.

• Model deployment: Takes models (brand new or improvements to existing models) developed by data scientists and builds the software and infrastructure to deploy them into a live production environment.
• Performance optimization: Optimizes code for latency and efficiency across different hardware, like CPUs and GPUs, and overall quality (e.g. readability, maintainability, reliability and so forth).
• System design & scaling: Designs, builds, and maintains the technical components that integrate into existing software to train, deploy, and scale ML models. (N.B. There will be opportunity to work on new systems from ground up later in the year, too.)
• Monitoring and maintenance: Implements logging and monitoring to track model performance, identifies and fixes bugs (in collaboration with wider teams if appropriate), and performs necessary updates and improvements.
• Collaboration: Works closely with data scientists and wider engineering teams to understand the model and help convert it into a production-ready system.
• Experimentation: Design, build and deploy technical components based on the methodologies designed by Data Scientists to enable scalable experiments, model evaluation and visualisation of results.
• Up-skilling DS in ML Engineering and AI innovations: Support DS team to utilise modern and cloud-based (esp GCP) technologies for development (e.g. Vertex, Docker, BigQuery, Dev Containers, Ray and others) to expedite and innovate the entire development lifecycle –esp when moving from dev into prod

Founding Engineer (Agentic Intelligence) We are building the intelligence layer for fragmented global markets. The world’s most valuable data isn't sitting in clean APIs—it’s trapped in thousands of unstructured open sources, from massive enterprise portals to obscure individual websites. We are building an autonomous agentic system that doesn't just crawl the web; it reads, reasons, and reports. As our first hire, you will move beyond simple ETL to architect a "market brain" that distills chaos into institutional-grade clarity. The Mission: Architect the Stack: Design the infrastructure for a system that interprets the web in real-time. Build the Engine: Create the core reasoning loops that allow our agents to navigate and analyze complex data environments. Lead the Evolution: Transition from lead builder to engineering leader as we scale the team and the product.

Requirements

From Zero to Intelligence 

🏗️ Architect from 0 to 1 Design and deploy a scalable ingestion engine capable of normalizing millions of granular data points from hostile, anti-bot-protected web environments. You aren't just moving data; you are building a resilient nervous system for a "living" dataset. 

🧠 Build the Hybrid AI Pipeline Agentic RAG: Orchestrate complex loops using LangGraph to autonomously ingest, verify, and "clean" unstructured market data. Analytical ML: Deploy regression models (PyTorch/Scikit-learn) to detect pricing anomalies and generate high-confidence market signals. 

🔌 MCP & Graph Mastery Develop Model Context Protocol (MCP) servers that bridge the gap between our Next.js interface and our Knowledge Graph. You will enable our agents to query complex relationships fluently, turning a database into a conversational partner. 

🛠️ The Tech Stack Data & Graph Layer: Neo4j/FalkorDB + Supabase (pgvector). You’ll map entities, stakeholders, and macro-trends into a multi-dimensional Knowledge Graph. ML Layer (Analytical): PyTorch/FastAPI hosted on Modal. Building predictive yield forecasting and automated valuation engines. LLM Layer (Semantic): Claude 3.5/GPT-5 + LangGraph. Driving agentic workflows for resilient data extraction and conversational search. 

🚀 Scale the Team As the foundational engineer, you will set the standard. You’ll establish the engineering culture, define CI/CD pipelines, and lead the hiring process as we grow the team from 1 to 10+.

🚀 AIMPROSOFT - Senior Integration / API Engineer (MuleSoft, Kafka, Salesforce) Opportunity! 

Aimprosoft, a fast-growing IT company, is expanding its cooperation with a large European retail enterprise operating across multiple countries. We are looking for a Senior Integration / API Engineer to join a strategic CRM and integration landscape centered around Salesforce Sales Cloud, Kafka, and an existing MuleSoft integration layer. 

🎯About the project & role:  

You will join an active enterprise ecosystem where Salesforce acts as the core B2B CRM, integrated with multiple surrounding systems across the organization. 

Currently, Salesforce communicates via MuleSoft, which in turn connects to Kafka and other internal systems. At the same time, there is a strategic direction to simplify and gradually move away from MuleSoft, potentially enabling direct Salesforce ↔ Kafka communication in the future. 

As the sole integration specialist on the project, you will: 

• Maintain and extend existing integrations 
• Design and implement new data flows 
• Work closely with multiple development teams to understand information needs 
• Evaluate integration approaches and challenge MuleSoft usage when it is not the optimal solution 

This role requires strong independence, architectural thinking, and broad integration experience, not just MuleSoft configuration skills. 

  
🔥What We Need From You:  

• 5+ years of experience as an Integration / API Engineer 
• English level — Upper-Intermediate (B2) or higher.  
• Hands-on experience with MuleSoft Anypoint Platform (design, development, maintenance) 
• Strong experience with API design and integration patterns (REST, event-driven architectures) 
• Practical experience with Kafka or other message brokers 
• Solid understanding of the Salesforce object model and Salesforce integration patterns 
• Experience integrating Salesforce with external systems (ERP, PIM, analytics, internal platforms) 
• Ability to work independently and derive integration requirements without detailed upfront specs 
• Capability to design, document, and explain integration solutions to technical and non-technical stakeholders 
• Readiness to challenge existing architecture and propose better or simpler alternatives 
• Ensure a single source of truth for accounts and partner data.  
• Ability to analyze requirements and propose technical solutions 
• Participate in discovery and planning sessions; challenge requirements when needed.  
• Experience collaborating with architects, business analysts, and PMs 
• Ensure platform security, scalability, and performance.  
• Ability to evaluate requirements and guide the business toward scalable solutions.  
• Strong problem-solving and communication skills 

📌Nice to have:  

• Experience designing Salesforce ↔ Kafka direct integrations 
• MuleSoft certifications or Salesforce integration certifications 
• Background as an API / Integration Architect 
• Previous experience in Retail, E-Commerce, or Construction B2B domains.  
• German language understanding is a plus.  
• Education: A Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field is preferred (or equivalent real-world experience).   

💼What We Offer:  

• A competitive salary that appreciates your skills and experience  
• Long-term collaboration with a large-scale European enterprise.  
• Opportunity to define architectural standards and influence product direction.  
• Cozy atmosphere and modern approaches. We have neither bureaucracy nor strict management nor “working under pressure” conditions  
• Opportunity to implement your ideas, tools, and approaches. We are open to changes and suggestions aimed at improvement  
• Work on a strategic, large-scale international project with high visibility.  
• Remote-friendly culture with strong team collaboration.  

Blackthorn Vision is  looking for a talented and experienced Graphic Designer to join our team.

Requirements

• 5+ years of commercial experience as a Graphic Designer.
• Strong proficiency with design tools (Figma, PowerPoint, Google Slides).
• Excellent graphic design skills with a solid understanding of layout, balance, and composition.
• Experience working with stock images, components, templates, and design systems.
• Marketing mindset: ability to highlight key messages, structure information, and turn text into visual blocks.
• Basic UX knowledge: hierarchy, flow, attention management, understanding how users interact with slides and pages.
• Strong focus, attention to detail, and multitasking skills.
• Ability to communicate effectively, ask clarifying questions, and propose creative alternatives when needed.
• Awareness of modern design trends in B2B, SaaS, and AI aesthetics (slide-first design, calm and mature AI style, typography-driven layouts).

• English level –  Intermediate or higher.

   

Would be a plus:

• Experience with animation and video editing.
• Background in B2B, SaaS, or tech/AI projects.

• Familiarity with brand guidelines and design systems.

   

Responsibilities

• Create compelling design concepts, artwork, and layouts for presentations, marketing materials, and corporate communications;
• Prepare case studies in PDF and landing-page formats;
• Design brochures, one-pagers, and visuals for email campaigns, LinkedIn, and outbound activities;
• Develop website assets (sections, hero blocks, infographics);
• Support and enhance corporate branding (merchandise such as sweatshirts, T-shirts, tote bags, pens, and corporate gifts);
• Design visuals for social media (Instagram concepts, posts) and internal communications;
• Collaborate closely with copywriters, marketers, sales, and HR teams.

• Project Description:

  The project provides a set of APIs, image and text recognition libraries, and other tools for automation testing of ECUs, especially automotive headunit and digital cluster. It provides a black box environment, which allows testing of automotive headunit without making any change to the headunit's software. In other words, no hook is needed.
  Team is divided in 2 locations: Ukraine and Detroit

   

• Responsibilities:

  Design separate components, modules, classes, database tables etc.
  • Code, debug, document, and maintain portions of software.
  • Perform unit and integration testing.
  • Participate in peer code and design reviews.
  • Participate in estimation and planning sessions.
  • Contribute to development of technical project documentation and user documentation.
  • Provide assistance to test engineers and support personnel in solving technical issues of software installation and its operation.
  • Participate in conference calls and face-to-face meetings with the Customer and Customer partners.
  • Comply with the best engineering practices, the technical standards and the quality criteria set forth on the project.
  • Report status and progress according to the project rules.
  • Spot current deficiencies in the development process, adopted procedures and engineering practices, environment configurations, etc., and suggest improvements.
  • Escalate technical issues to Tech Lead and Product Owner.
  • Improve your qualification within the areas of expertise at various training courses, seminars and/or other educational organizations
   

• Mandatory Skills Description:

  Python
  C++
  Computer Vision/image processing
   

• Nice-to-Have Skills Description:

  Good communication skills
  Automotive
  Agile

• Project Description:

  We are looking for an experienced Data Engineer to join the Shelf Analytics project – a data-driven application designed to analyze how P&G products are positioned on store shelves. The primary objective of the solution is to improve product visibility, optimize in-store execution, and ultimately increase sales by combining shelf layout data with sales insights.
  
  As a Data Engineer, you will play a key role in building, maintaining, and enhancing scalable data pipelines and analytics workflows that power shelf-level insights. You will work closely with analytics and business stakeholders to ensure high-quality, reliable, and performant data solutions.
   

• Responsibilities:

  Design, develop, and maintain data pipelines and workflows using Databricks and PySpark
  Read, understand, and extend existing codebases; independently develop new components for Databricks workflows
  Implement object-oriented Python solutions (classes, inheritance, reusable modules)
  Develop and maintain unit tests to ensure code quality and reliability
  Work with Spark SQL and SQL Server Management Studio to create and optimize complex queries
  Create and manage Databricks workflows, clusters, databases, and tables
  Handle data storage and access management in Azure Data Lake Storage (ADLS), including ACL permissions
  Collaborate using GitHub, following CI/CD best practices and working with GitHub Actions
  Support continuous improvement of data engineering standards, performance, and scalability
   

• Mandatory Skills Description:

  Strong programming skills in Python and PySpark
  Hands-on experience with Databricks (workflows, clusters, tables, databases)
  Solid knowledge of SQL and experience with Spark SQL and SQL Server Management Studio
  Experience with pandas, dbx, and unit testing frameworks
  Practical experience working with Azure Storage (ADLS) and access control (ACLs)
  Proficiency with GitHub, including CI/CD pipelines and GitHub Actions
  Ability to work independently, analyze existing solutions, and propose improvements

• Project Description:

  Client is a top one in automotive sphere. He has a bunch of projects which are related with tools for testing/emulation of IVI part. Part team is in Detroit and part in Ukraine remote. Projects have parts starting from HW boards and completing with SW part.
   

• Responsibilities:

  Testing Balance: 70% Automation / 30% Manual testing split.
  Embedded automation: actively contribute and evolve existing automation framework (Python).
  Protocols: Hands-on experience with CAN, gRPC, and TCP.
  Embedded Systems: Expertise in hardware flashing and embedded environment interaction.
  OS: Linux knowledge and CLI proficiency.
  CICD: Experience with GitHub Action.
  Test Planning: Define the automation strategy for new features, ensuring high coverage for complex automotive use cases.
  Reporting & Analytics: Build reports to visualize test results, hardware stability metrics.
   

• Mandatory Skills Description:

  Python: Advanced proficiency to evolve and maintain an existing automation framework.
  Protocols: Hands-on experience with CAN, gRPC, and TCP.
  Embedded Systems: Expertise in hardware flashing and embedded environment interaction.
  OS: Linux knowledge and CLI proficiency.
  CICD: Experience with GitHub Action.

Project Overview

We are building production-grade browser automation systems that power complex, real-world workflows in highly constrained environments. As a Senior Software Engineer, you will own and evolve automation that operates in unreliable, changing, and security-restricted browser environments—and must run consistently at scale. 

Responsibilities

This role is not about one-off scripts or basic scraping. You will design resilient, long-running automation workflows that handle partial success, retries, UI changes, and real-world failure modes across external web portals. Your work will directly reduce manual effort and turnaround time by translating complex workflows into durable automation systems that run in production every day. You will collaborate closely with engineering teams to design and operate automation infrastructure that supports critical business processes where modern APIs or integrations are limited or unavailable. Requirements (Must-have) 
- Strong software engineering background with production experience in browser automation
 - Ability to design long-running, fault-tolerant automation workflows - Hands-on experience handling unreliable external systems and changing UIs 
- Comfort owning automation systems end-to-end: design, implementation, monitoring, and debugging
 - 4–6+ years of professional software engineering experience
 - Strong proficiency in Python 
 - Hands-on experience with browser automation frameworks (Playwright, Selenium, Puppeteer)
 - Solid understanding of web technologies (HTML, CSS, JavaScript) and browser developer tools
 - Experience running browser automation in production environments
 - Familiarity with asynchronous programming, background workers, and job queues
 - Experience designing systems with retries, idempotency, and partial failure handling
 - Strong problem-solving skills and comfort working in ambiguous, evolving problem spaces
 - Experience with Git and CI/CD workflows
 - Clear communicator, comfortable working with cross-functional teams

 Nice to Have

 - Experience operating headless browsers or automation workers at scale
 - Familiarity with TypeScript and Node.js for backend services or internal tooling
 - Experience working with complex external portals (e.g., healthcare, insurance, finance)
 - Knowledge of industry data standards (e.g., HL7, FHIR)
 - Experience with cloud platforms (AWS, GCP) and containerization (Docker)
 - Background in building internal platforms, developer tooling, or automation infrastructure 
 

About Us

We're revolutionizing international commerce by enabling fast, seamless global shipping for direct-to-consumer brands. We've built a sophisticated software platform that orchestrates complex supply chains across warehouses, airlines, customs systems, and carriers, turning the complexity of cross-border logistics into a seamless customer experience for international shoppers. Our technology connects brands to new markets and helps customers access products they love regardless of geography. If you're passionate about solving complex technical challenges and building the infrastructure that powers global commerce, join our team of builders and innovators reshaping supply chains and connecting people. In recent months, we have secured critical new partnerships and traction and are looking for new teammates who will help us develop thoughtful systems that allow us to handle this new scale.

What it's like to work here

We’re a small, focused team taking on interesting operational and technical problems. Our team members have a high degree of autonomy, and are deeply involved in product and technical decision making. Working with us, you’ll get to investigate complicated logistics problems to develop opinionated, first-principles solutions.

In a typical day, you might

• Collaborate on product direction and identify opportunities to improve the customer experience
• Design and build features end to end, from API to UI, alongside collaborative teammates
• Troubleshoot live issues with stakeholders such as warehouse or fulfillment partners
• Work with a developer-friendly, modern stack
• Contribute to a culture that values thoughtful discussion, quick iteration, and high standards

What we’re looking for

We're looking for a seasoned full-stack engineer who enjoys owning new features, working directly with stakeholders, and is motivated to iterate until a problem is solved. Our ideal teammate is reactive when a critical issue arises, but is also willing to take the time to work through a fully realized solution over a longer time scale.

What you offer

• 6+ years of experience building scalable web applications with real-world usage
• A strong product mindset, with an eye for intuitive UI/UX and practical design
• The ability to lead technical projects and influence architecture across the codebase
• A track record of solving complex, open-ended problems independently
• Excellent communication skills and a collaborative, low-ego attitude
• Deep expertise with front-end development (HTML, CSS, JavaScript, React, browser APIs)
• Proficiency in JavaScript, TypeScript, and Node.js. Serverless experience is a plus
• Significant experience designing and integrating APIs

• A solid understanding of event-driven architecture and scalable systems design

   

Huge plus

• Experience building with Shopify

Our stack

• TypeScript
• MySQL
• Nextjs

Job Title: Change Enablement Lead

Location: UA, Poland

Remote 

Employment Type

Full-time / Contract / B2B

About the Role

We are looking for a Change Enablement Lead to support successful adoption of organizational, process, and technology changes. This role focuses on the people side of change — ensuring teams understand, accept, and effectively work with new ways of working.

You will partner closely with leadership, HR, IT, and business teams to design and execute change enablement strategies that drive engagement, adoption, and long-term impact.

Key Responsibilities

• Develop and execute change enablement strategies and plans for key initiatives
• Assess change impact and organizational readiness
• Design and deliver communication plans (what, why, when, how changes happen)
• Support leaders and managers in their role as change sponsors
• Identify and address resistance to change proactively
• Plan and coordinate training, enablement sessions, and workshops
• Collaborate with HR, PMO, Business Process, and IT teams
• Define and track adoption metrics, engagement, and effectiveness of changes
• Ensure sustainable change by embedding new behaviors, processes, and tools

Required Qualifications

• 3+ years of experience in change management, transformation, or enablement roles
• Strong understanding of change management frameworks (ADKAR, Kotter, Prosci, etc.)
• Excellent communication and stakeholder management skills
• Experience working in cross-functional, matrix organizations
• Ability to influence without direct authority
• Strong facilitation, coaching, and presentation skills
• Fluent English (written and spoken)

Nice to Have

• Certification in Change Management (Prosci, CCMP, etc.)
• Experience with digital transformation or IT implementations (ERP, CRM, platforms)
• Background in HR, Operations, Consulting, or Program Management
• Experience in Agile / product-driven environments

Job Title: Programme Manager Support

Location: UA, Poland

Remote 

Employment Type: Full-time / Contract / B2B
 

About the Role

We are looking for a Programme Manager Support to assist in the coordination, governance, and delivery of complex programmes and initiatives. This role supports Programme and Project Managers by ensuring structure, visibility, and smooth day-to-day operations across multiple workstreams.

The position is ideal for someone with strong organizational skills, attention to detail, and experience working in cross-functional environments.

Key Responsibilities

• Support Programme Managers in planning, tracking, and reporting on programme activities
• Coordinate schedules, meetings, workshops, and key programme events
• Maintain programme documentation, plans, RAID logs, and status reports
• Track milestones, dependencies, risks, and issues across workstreams
• Prepare materials for steering committees and stakeholder meetings
• Ensure adherence to programme governance and reporting standards
• Support communication between teams, stakeholders, and leadership
• Assist with budget tracking, forecasts, and resource allocation (where applicable)
• Help ensure programme timelines and deliverables stay on track

Required Qualifications

• 5+ years of experience in programme, project, or PMO support roles
• Strong organizational and coordination skills
• Experience with programme / project management methodologies
• Proficiency with tools such as Jira, Confluence, MS Project, Smartsheet, or similar
• Ability to manage multiple tasks and priorities
• Strong communication skills (written and verbal)
• Good English communication skills

We're hiring Low-Level Engineers to design and build RL environments that teach LLMs kernel development, hardware optimization, and systems programming. The goal is to create realistic feedback loops where models learn to write high-performance code across GPU and CPU architectures.

This is a remote contractor role with ≥4 hours overlap to PST and advanced English (C1/C2) required.

Requirements

Minimal Qualifications

• Strong Python (engineering-quality, not notebook-only)
• Production mindset (debugging, reliability, iteration speed)
• Clear understanding of LLMs, their current limitations
• Ability to meet throughput expectations and respond quickly to feedback

You may be a good fit if one of the following applies

• Deep understanding of memory hierarchies (registers, L1/L2/shared memory, HBM, system RAM) and their performance implications
• Threading models, synchronization primitives, and concurrent programming (warps, thread blocks, barriers, atomics)
• Cache coherence, memory access patterns, coalescing, and bank conflicts
• JIT compilation frameworks (e.g., Triton, JAX/XLA, TorchInductor, Numba)
• AOT compilation and optimization passes (LLVM, MLIR, TVM)
• Compiler and kernel frameworks such as CUTLASS, BitBLAS, or JAX/Pallas
• Modern C++, including templates, concurrency, and build systems
• Assembly-level programming and low-level optimization across GPU and CPU architectures (e.g., x86, ARM, NVIDIA Hopper, NVIDIA Blackwell)
• Debugging and optimizing GPU kernels using CUDA and/or HIP/ROCm
• Developing PyTorch custom operators, backend extensions, or dispatcher integrations (e.g., ATen, TorchScript, or custom backends)
• Customizing, extending, or optimizing c, including distributed inference workflows
• GPU communication libraries and collectives, such as NVIDIA NCCL, AMD RCCL, MPI, or UCX
• Mixed-precision and low-precision kernels (e.g., FP16, BF16, FP8, INT8), including numerical stability and performance trade-offs

We’re hiring RL Environments Engineers to design and build MLE/SWE environments that deliver high-quality, diverse tasks with minimal supervision. You will target a specific language model, meet a defined difficulty distribution, and deliver about one task every 10 hours. This is a remote contractor role with ≥4 hours overlap to PST and advanced English (C1/C2) required.

Responsibilities

• Design and build MLE/SWE environments and diverse tasks.
• Target a specified language model and satisfy the required difficulty distribution.
• Deliver ~1 task per 8-10 hours once onboarded.
• Edit tasks within 24 hours based on customer feedback.
• Onboard quickly and start delivering on day one with minimal supervision.
  
   

Requirements

What we’re looking for (must-haves)

• Strong Python (engineering-quality, not notebook-only).
• Hands-on LLM/GenAI work in production: you’ve shipped and operated real systems (not “wrapped an API and called it AI”).
• Strong product/engineering ownership: comfortable building, fixing, and scaling end-to-end pipelines.
• Docker + production mindset (debugging, reliability, iteration speed).
• ≥4 hours PST overlap and advanced English (C1/C2) for specs, reviews, and feedback.
• Ability to meet throughput expectations and respond quickly to feedback.
   

Strong signals (nice-to-have, big plus)

• Experience designing environments/tasks for RL and/or evaluations.
• Experience in high-stakes or regulated domains (e.g., healthcare, finance, fraud/risk, safety-critical systems).
• ML systems experience: CI/CD, monitoring, evaluation harnesses, MLOps, scalable pipelines.
• Systems depth: C++/Rust/Scala/Java, performance/infra optimization, distributed systems.
• Exposure to RL / bandits / agentic systems (not required, but a strong signal).
   

Not a fit if

• You’re primarily a prompt engineer without strong ML/engineering foundations.
• You’re a research-only / academic-only profile with little or no shipping/production ownership.
• You’ve only built in notebooks or rely heavily on managed AutoML tools.
  
   

Working Conditions

• Remote, independent contractor engagement.
   
• 40 hours/week - full time - need 4 hours overlap in the working hours with the team in Pacific time zone;
• Deliverables-driven; begin shipping on day one.

Conversion & relocation: Potential path to FTE and relocation to the Bay Area if performance and mutual fit align.
 

Job Title: Business Process Manager (North America)

Location: USA

Remote

Employment Type:  B2B

About the Role

We are looking for a Business Process Manager to provide a North America underwriting and operations perspective on the end-to-end workflow for the workbench. This role ensures processes are aligned across regions, identifies gaps, and supports the delivery of programme initiatives.

The ideal candidate combines process analysis, documentation, and stakeholder management skills to drive efficiency and standardization across regions.
 

Key Responsibilities

• Document current-state (“as-is”) and future-state (“to-be”) workflows for North America underwriting and operations
• Identify process gaps, variations, and regional impacts on workflow and operations
• Ensure North America process requirements are fully represented in programme deliverables
• Support cross-regional process alignment and standardization
• Collaborate with Programme Managers, Operations, IT, and other stakeholders to implement process improvements
• Maintain process documentation, SOPs, and workflows to support programme and operational objectives
• Track metrics and KPIs to monitor the effectiveness and adoption of processes
• Contribute to training and enablement materials where process guidance is required
   

Required Qualifications

• 5+ years of experience in business process management, operations, or workflow analysis
• Experience documenting and improving end-to-end business processes
• Strong understanding of operations in underwriting or financial services preferred
• Excellent analytical and problem-solving skills
• Strong stakeholder management and communication skills
• Ability to work cross-functionally across regions
• Proficiency with process mapping and documentation tools (e.g., Visio, Lucidchart, Miro)
• Fluent English (written and spoken)
   

Nice to Have

• Certification in Lean, Six Sigma, or BPM
• Experience with global or multi-region operations
• Familiarity with digital tools supporting underwriting and operational workflows
• Exposure to programme management or transformation projects