Jobs

About the Company

We are a fast-growing international FinTech company providing reliable, scalable, and secure payment solutions to businesses across multiple markets.

As the company continues to expand, we are looking for a Chief Revenue Officer who will take ownership of the company’s commercial growth strategy and build a predictable, scalable revenue engine.

This role is ideal for a commercially driven leader with strong experience across Business Development, Sales, Partnerships, Account Management, and revenue operations. The successful candidate will combine strategic thinking with hands-on execution and will work closely with the CEO and executive team to accelerate growth across international markets.

Role Mission

Build and lead a unified commercial strategy that drives sustainable revenue growth, strengthens the company’s market position, expands strategic partnerships, and creates predictable and scalable revenue channels.

The CRO will align Business Development, Sales, Partnerships, Account Management, and commercial operations around clear targets, ownership, and measurable business results.

Key Responsibilities

• Develop and execute the company’s global revenue and commercial growth strategy.
• Take ownership of revenue growth across Business Development, Sales, Partnerships, and Account Management.
• Identify and prioritize new markets, customer segments, verticals, and commercial opportunities.
• Build a predictable and scalable revenue pipeline across international markets.
• Establish clear revenue targets, commercial KPIs, forecasting models, and reporting frameworks.
• Lead enterprise-level negotiations with strategic clients, merchants, banks, payment providers, and technology partners.
• Build and strengthen relationships with key industry stakeholders and strategic partners.
• Develop commercial models, pricing approaches, partnership structures, and go-to-market strategies.
• Improve conversion across the complete commercial funnel, from lead generation to onboarding, activation, and account growth.
• Introduce structured pipeline management, deal qualification, forecasting, and performance review processes.
• Ensure transparent ownership and accountability across all revenue-generating functions.
• Partner closely with Product, Operations, Finance, Legal, Compliance, Risk, and Support teams to ensure commercial commitments can be delivered effectively.
• Work with Product leadership to translate market demand and client feedback into product development priorities.
• Analyze unit economics, revenue quality, profitability, client acquisition costs, retention, and account performance.
• Identify underperforming revenue channels and implement corrective actions.
• Build, mentor, and scale a high-performing commercial leadership team.
• Represent the company at relevant conferences, industry events, strategic meetings, and partnership discussions.
• Support the CEO and executive team in strategic planning, market expansion, and long-term business development.

Requirements

• 10+ years of experience in Business Development, Sales, Partnerships, Commercial, Revenue, or related functions.
• 4+ years of experience in a senior leadership role such as CRO, Chief Commercial Officer, CBDO, VP of Sales, Commercial Director, or equivalent.
• Proven track record of delivering significant and sustainable revenue growth.
• Strong experience building and scaling commercial teams and revenue processes.
• Deep understanding of enterprise sales, strategic partnerships, and complex commercial negotiations.
• Strong professional network within FinTech, Payments, Banking, E-commerce, SaaS, or related industries.
• Experience working with international clients, merchants, financial institutions, and strategic partners.
• Strong understanding of revenue forecasting, pipeline management, pricing, unit economics, and commercial performance.
• Ability to connect commercial strategy with product capabilities and operational execution.
• Strong analytical mindset and experience making decisions based on commercial data.
• Excellent leadership, stakeholder management, negotiation, and executive communication skills.
• Strategic mindset combined with a hands-on and execution-focused approach.
• Experience working in fast-growing, international, or highly regulated organizations.
• Fluent English.

Success in the First 90 Days

• The company’s commercial structure, revenue streams, pipeline, and market opportunities are fully assessed.
• A clear revenue growth strategy and commercial roadmap are presented to the CEO and leadership team.
• Revenue ownership, targets, KPIs, and accountability are established across commercial functions.
• A transparent pipeline management and revenue forecasting framework is implemented.
• Current clients, strategic partners, and commercial opportunities are prioritized.
• Key gaps in Sales, Business Development, Partnerships, and Account Management are identified.
• Commercial reporting and regular revenue performance reviews are running effectively.
• Short-term opportunities for revenue growth and account expansion are identified and activated.
• Collaboration between Commercial, Product, Operations, Finance, Compliance, and Support is improved.
• A clear plan for scaling the commercial team and entering priority markets is in place.

What We Are Looking For

We are not looking for a traditional Sales Director focused only on closing individual deals.

We are looking for a commercial builder who can create a complete and scalable revenue system, align teams around common targets, strengthen the company’s market position, and turn strategic opportunities into predictable business growth.

The ideal candidate understands the payments ecosystem, can operate confidently at C-level, and is equally comfortable building strategy, negotiating major partnerships, reviewing pipeline performance, and supporting teams in closing critical deals.

About Llama Luna Apps

We're an enthusiastic team of 10 building and pushing iOS apps in Health & Wellness. Five years on the market, 8M+ combined downloads, a 4.9 average App Store rating, an App Store App of the Year winner, and Apple Design Award finalist.

Our apps:

• Waterllama — our flagship, a llama-themed water tracker with more features than you knew you needed
• Foodllama — AI calorie tracker with adorable llama design
• Pinkllama — the cutest period tracker, featuring our signature llama character
• Mindllama — sleep, focus, and mindfulness, of course with a llama
• App #5 — launching soon, and you'll help take it to market.

We keep the team small and the bar high — everyone here is an A-player in their craft, and we work hard to keep it that way. That's what makes the output strong and the work actually fun.

Who we're looking for:

A professional who moves fast and thinks in experiments. We don't sit in approval cycles, we don't write strategy decks for the sake of decks, and we don't wait for the perfect plan - we test, measure, and iterate. We need someone who works the same way: forms hypotheses, ships them quickly, kills what doesn't work, and doubles down on what does.

What you'll own:

• Influencer partnerships — sourcing, negotiating, briefing, tracking results
• Organic UGC at scale — TikTok, Instagram, X, Lemon8 across multiple accounts, fast iteration
• ASO and Apple Search Ads — full ownership
• AI automation across the function — we already use AI in content production; you'll build workflows, not just use tools.

You'll work with our designer, marketing, and content specialist, and report directly to the Co-founder & COO.

You're a fit if you have:

• 3+ years of hands-on mobile app growth (paid + organic + influencer)
• Influencer deals end-to-end — sourcing, negotiating, measuring
• UGC at scale across multiple accounts with content that performed
• AI-native working style - you build automations, not just prompts
• Subscription monetization fluency (trials, paywalls, funnel logic)
• iPhone user.

Bonus: ASO and Apple Search Ads & launching apps from zero.

Schedule

Available in chats during 13:00-22:00 Kyiv time. This overlaps US influencer/partner conversations and our internal founder team's hours.

Hiring process

1. Short Google form
2. Video intro
3. 2 Test tasks: #1 unpaid (up to 1h); #2 paid (up to 4h)
4. Call with Co-founder — fit, terms, onboarding
5. Offer

We respond fast and at every step.

What we offer

• 24 paid vacation days per year + public holidays. Unused days roll over into the next year - we don't pressure you to "use it or lose it"
• 10 paid sick days per year, no doctor's notes or bureaucracy required
• Fully remote

Join Sigma Software’s IT Solutions Department and help shape the internal platforms and automation solutions that support thousands of daily business operations across the company. We are looking for a Principal level engineer who combines deep technical expertise with strong leadership and communication skills.

In this role, you will work in a complex enterprise environment, contributing to scalable Back-end-heavy Full Stack solutions, enterprise integrations, and AI-enabled engineering practices. 

The position combines hands-on development with architectural decision-making, mentoring, and cross-team collaboration.

We at Sigma Software value engineering excellence, continuous improvement, and modern development approaches. You will have the opportunity to influence technical strategy, drive automation initiatives, and help establish responsible AI-assisted development standards across projects.

CUSTOMER

The role is part of Sigma Software’s IT Solutions Department, which is responsible for building and evolving the company’s internal digital ecosystem. The department develops enterprise business applications, automation platforms, integrations, and productivity solutions that improve operational efficiency and employee experience across multiple business domains.

PROJECT

The project focuses on developing and evolving enterprise-scale internal platforms and automation systems used across Sigma Software. The environment includes interconnected services, enterprise integrations, process automation workflows, and AI-assisted engineering practices designed to support operational scalability and business efficiency.

You will contribute to architecture design, implementation of scalable Back-end solutions, enterprise integrations, and AI-enabled capabilities while collaborating closely with multiple technical and business teams.

Key Technologies: JavaScript, Node.js, React.js, REST API, GraphQL, Claude Code, Codex

Job Description

• Collaborate with stakeholders on solution discovery, technical design, estimations, and delivery planning
• Design and implement scalable and maintainable software solutions aligned with business and architectural goals
• Develop production-quality Back-end-focused solutions while contributing across the Full Stack when required
• Own features end-to-end from technical design to deployment and support
• Lead and mentor Middle and Senior engineers through technical guidance and peer reviews
• Act as a key technical point of contact across multiple teams and drive cross-team collaboration
• Design and implement enterprise integrations, automation workflows, and data processing solutions
• Contribute to AI-enabled engineering workflows and product capabilities
• Establish standards for responsible usage of AI coding assistants within the project
• Review AI-generated code for scalability, maintainability, security risks, and edge cases
• Ensure system reliability, scalability, and performance under growing business demands
• Translate business requirements into practical technical solutions delivering measurable value

Qualifications

• 7+ years of commercial software engineering experience with a strong Back-end focus
• Strong hands-on experience with JavaScript and Node.js
• Experience with React.js
• Solid experience designing and developing REST API and/or GraphQL solutions
• Hands-on experience using AI coding assistants such as Claude Code or Codex in daily development workflows
• Strong understanding of software architecture, design patterns, scalability, integrations, and risk management
• Experience working in enterprise environments with multiple stakeholders and distributed teams
• Ability and willingness to lead technical initiatives and mentor engineers
• Strong communication and stakeholder management skills
• Ability to balance technical and business priorities
• Experience working with incomplete or evolving requirements
• Upper-Intermediate English level or higher

WILL BE A PLUS

• Previous formal team leadership experience
• Experience building AI-enabled business solutions
• Experience with enterprise process automation platforms
• Experience defining governance standards for AI-assisted development
• Exposure to complex distributed enterprise systems

PERSONAL PROFILE

• Analytical mindset with strong systems thinking
• High level of ownership and accountability
• Proactive and communicative approach
• Result-oriented mindset focused on measurable outcomes
• Ability to work effectively in complex organizational environments
• Strong balance between technical depth and business understanding
• Comfortable making decisions in ambiguous situations

ABOUT THE COMPANY

Our client is a technology-driven consumer company transforming fragrance discovery through a digital subscription platform. It also operates a portfolio of innovative fragrance and lifestyle brands focused on quality, individuality, and sustainability.

We are looking for a hands-on Staff Architect to own the platform architecture and drive AI-enabled capabilities across the engineering organization. 

Reporting to the Director of Engineering, you will establish engineering standards, guide cross-team technical decisions, and lead a platform team of two engineers while remaining deeply involved in system design and implementation.

The goal is to help the business scale through technology and AI without proportional growth in engineering headcount.

REQUIREMENTS:

• 8+ years of professional software engineering experience
• 3-4+ years in a Principal, Staff, or Platform Architect role
• Deep hands-on Java expertise, including JVM performance, concurrency, and service design
• Experience with Micronaut or Spring Boot
• Strong knowledge of distributed systems, event-driven architecture, REST/GraphQL APIs, service mesh, and AWS cloud-native patterns
• Hands-on experience designing, evaluating, or building AI-powered systems using modern LLM technologies
• Experience with agent orchestration frameworks, tool integration, retrieval systems, or memory architectures
• Strong understanding of data modelling, asynchronous messaging such as Kafka, and caching strategies at scale
• Experience establishing and enforcing architectural standards across multiple engineering teams
• Ability to combine architectural leadership with writing and reviewing production code
• Strong systems thinking and the ability to clearly explain technical trade-offs
• Excellent written and spoken English
• Ability to work independently and asynchronously within a distributed team
• At least 4 hours of daily overlap with New York working hours
• Experience with Rust, GraalVM, JVM profiling, Kubernetes, Helm, or production EKS environments is a plus
• Experience with ecommerce, subscription platforms, personalization, or high-scale consumer products is a plus

RESPONSIBILITIES:

• Own the company’s platform architecture and AI enablement strategy
• Define service boundaries, integration patterns, data contracts, and shared infrastructure components
• Lead the design of APIs, asynchronous messaging patterns, and foundational platform services
• Identify and implement AI solutions that improve engineering productivity, operational efficiency, customer experience, and business outcomes
• Design AI-augmented workflows, including agent orchestration, tool integration, retrieval, and memory management
• Serve as the primary architectural authority for platform-level technical decisions
• Establish cross-team engineering standards and shape the company’s long-term technical direction
• Lead and mentor a platform team of two engineers
• Set technical direction, conduct reviews, unblock engineers, and support their professional growth
• Remain actively involved in architecture, implementation, code reviews, and technical problem-solving
• Ensure systems are observable, scalable, fault-tolerant, and production-ready

OUR OFFER:

• Fully remote, permanent position 
• Bonus program
• Paid Time Off and Wellness Days Off
• Ownership of a business-critical platform and its AI strategy
• A focused senior team that moves quickly and trusts you to own your domain
• Meaningful influence over how the company’s technology and products evolve
• Smooth knowledge transfer from the current Principal Platform Architect

In Competera, we are building a place where optimal pricing decisions can be made easily. We believe that AI technologies will soon drive all challenging decisions and are capable of helping humans be better.

We are now looking for a hands-on Leader who can bridge the gap between advanced research and real-world product delivery. You will be the technical anchor for two streams: S&D (Service & Delivery), ensuring our clients get robust, profitable pricing recommendations, and R&D (Research & Development), guiding the strategy for next-gen algorithms.

What you will do

• Have clear vision and own the strategy of Data Science in the organization.
• Shape the technical roadmap based on business needs, team capacity, and long-term strategy.
• Gradually scale data science function with company growth. 
• Define the hiring profile, lead and mentor a cross-functional team of Data Scientists, and cultivate a high-performing R&D culture focused on scientific rigor and measurable business impact.
• Manage resources across both Delivery (S&D) and Research (R&D) squads.
• Act as the main bridge between R&D and S&D: translate business requirements into research tasks, and help the team adapt complex prototypes into stable, production-ready solutions.
• Architect client solutions by selecting the right models and assortment strategies to solve specific business problems using our existing stack.
• Serve as the quality gatekeeper for the team, conducting code reviews, verifying A/B test designs, and ensuring the team hits their Definition of Done (DoD).
• Drive key DS metrics such as research-to-production time, experiment velocity, and the overall quality of price recommendations.
• Communicate clearly with product managers, engineers, and occasionally clients to explain DS trade-offs, present results, and align on next steps.
• Confidently represent the company's technological expertise to investors and partners. You will clearly articulate the Data Science strategy, the core algorithms' defensibility, and the technical roadmap during high-stakes due diligence processes.
• Engage directly with customers' Data Science and Analytics teams (including PhD-level experts). You must be able to confidently explain our methodology, model assumptions, performance results, and address their most technical questions, serving as a critical differentiator during sales and pilot phases.
• Present complex model results, performance metrics, and strategic trade-offs to key stakeholders in a clear, concise, and business-focused manner.
• Support the sales and pre-sales process by building compelling technical narratives that demonstrate our value proposition and deep expertise in the pricing domain.
• Stay hands-on: dive into code and architecture when needed - whether it's designing a new experiment, fixing a critical issue in the delivery pipeline, or prototyping a new idea.

What you have

• 5+ years of experience in Data Science or a related field with a focus on delivering value to production.
• Strong Python and SQL skills, capable of writing modular and readable code for experiments and prototypes.
• Familiarity Databricks data platform and Apache Spark.
• General familiarity with Data Mesh approach and ability to leverage its best practices in collaboration with data engineers.
• Solid mathematical background, preferably in a Computer Science-related field.
• Proficiency in the scientific Python toolkit, including NumPy, pandas, scikit-learn, and either Keras/TensorFlow or PyTorch.
• Deep understanding of statistical testing methodologies, specifically A/B testing design.
• Familiarity with Time Series Forecasting approaches.
• At least 3 years of experience working with tabular and mixed (multimodal) data.
• Expertise in Causal Inference and background in Ecommerce/Retail are strong pluses.
• Upper-intermediate or higher level of English and strong public speaking skills.

Soft skills 

• You care not only about how the model works mathematically but what value it brings to the user and the business.
• Able to translate complex technical concepts into simple business language for stakeholders.
• Able to professionally and clearly communicate with PhD scientists on customer side during the sales process, pilot and rollout.
• Able to own data requirements and build efficient processes to support integration and data engineering with outlining data integration and validation requirements.
• Ready to experiment, pivot, and make data-driven decisions in a dynamic business environment.
• Proactively contribute ideas to the Product Backlog with ideas based on technical knowledge and capabilities.
• Be able to think outside of the box and find simple and elegant solutions to complex problems, including technical, product and processes-related ones.
• Curiosity and a drive to continuously learn within the domain.
• Have a truly entrepreneurial mindset.

You’re gonna love it, and here’s why:

• Rich innovative software stack, freedom to choose the best suitable technologies.
• Remote-first ideology: freedom to operate from the home office or any suitable coworking.
• Flexible working hours (we start from 8 to 11 am) and no time tracking systems on.
• Regular performance and compensation reviews.
• Recurrent 1-1s and measurable OKRs.
• In-depth onboarding with a clear success track.
• Competera covers 70% of your training/course fee.
• 20 vacation days, 15 days off, and up to one week of paid Christmas holidays.
• 20 business days of sick leave.
• We reimburse the cost of coworking.

Drive innovations with us. Be a Competerian.

We're a fast-growing product company revolutionizing financial services with technology. If you're passionate about clean code, performance, and solving real business problems, we want you on our team!

💼 About the Role

We're looking for a Backend Software Engineer to help develop and scale our internal and client-facing fintech platforms. You'll join a cross-functional team of product thinkers, engineers, and designers to shape high-performance systems that drive financial innovation.

🧩 What You'll Do

• Develop and maintain core backend services
• Participate in system architecture and API design
• Work closely with product team to deliver robust solutions
• Optimize application performance and scalability
• Contribute to code reviews, testing, and continuous improvement

✅ Requirements

• 5+ years of experience in backend development (programming language doesn't matter)
• Good English and communication skills (all communication and documentation is in English)
• AI driven (you already use Claude Code, Codex or something similar in your daily flow)
• Be open for new technologies and flows
• Solid understanding of OOP, design patterns, and system architecture
• Experience working with SQL databases and caching systems
• Familiarity with Docker and Linux-based environments
• Background in AWS infra is a plus

🛠️ Current Tech Stack

• Backend: Laravel (PHP 8+)
• Database: MySQL, Redis
• API: GraphQL
• Tools: Git, Docker, CI/CD (GitHub)
• Cloud: AWS

🎁 What We Offer

• Probation period is 4 months
• Competitive salary (based on experience)
• Flexible schedule with full remote setup
• We also have comfortable offices in Kyiv and Tallinn where you can work
• Career growth opportunities in a product-driven environment
• Supportive and agile team culture

📋 Interview Process

1. Initial interview with HR and/or CTO — up to 30 minutes via Google Meet (camera required)
2. Technical interview with senior engineers — up to 2 hours via Google Meet (camera required)
3. Team match interview with CTO and CPO — up to 45 minutes via Google Meet (camera required)
4. Final decision

Please note: As a rule, we do not provide detailed feedback on rejection decisions.

Senior / Staff Level 

Location: Remote | Full-Time 

About Kooltra 

Kooltra is a Canadian fintech company building FX infrastructure and cross-border payment technology for banks and financial institutions. With over a decade in market and a growing footprint in North America, we are now accelerating our US expansion and undertaking a fundamental shift toward an AI-first development and delivery model. 

To fuel that shift, we need Platform Engineers to invest in our platform and transform how we implement customers. 

About the Role 

We’re looking for a Platform Engineer who lives and breathes clean architecture and believes that a well-designed domain model is the foundation of everything great in software. You’ll own and evolve our core platform layer—the expressive, domain-driven backbone that powers our suite of financial products and enables third-party applications, services, and UIs to build on top of it with confidence. 

This is a high-leverage role. The platform you shape will be the surface that internal teams, external integrators, and next-generation AI agents interact with. You’ll design APIs and event contracts that are intuitive enough for a developer to pick up in minutes and robust enough to handle complex financial workflows at scale. 

Developer experience is at the heart of this role. You believe that a platform is only as good as how it feels to build on, and you’re obsessed with making the developer journey—from onboarding to production—effortless and delightful. You’ll craft expressive APIs, self-documenting domain models, and tooling that lets internal teams and third-party developers move fast with confidence. 

You’re excited about AI—not as a buzzword, but as a force multiplier. You see the convergence of great developer experience and AI as the next frontier: a platform where AI agents can discover capabilities, reason about domain events, and execute complex financial workflows through the same intuitive surface that human developers use. You want to build an AI-first developer experience—one where the platform is as legible to an autonomous agent as it is to a senior engineer reading the docs for the first time. 

What You’ll Do 

• Iterate and extend an expressive, domain-driven platform layer that serves as the integration surface for internal products, third-party applications, and AI-powered services. 

• Own the end-to-end developer experience on the platform—from SDK design and API ergonomics to documentation, error messages, and onboarding flows—ensuring every touchpoint is intuitive and productive. 

• Pioneer an AI-first developer experience where platform capabilities are discoverable, composable, and structured for consumption by both human developers and AI agents. 

• Define and enforce clean bounded contexts, aggregates, and domain events that model complex financial operations with precision and clarity. 

• Architect event-driven systems using Kafka to enable loose coupling, auditability, and real-time reactivity across the platform. 

• Build and maintain microservices in Kotlin, ensuring each service has a clear domain responsibility and well-defined contracts. 

• Champion test-driven development as a design discipline—not just a quality gate—driving clean, modular, and refactorable code. 

• Design platform APIs, SDKs, and event schemas with a relentless focus on developer experience—self-describing, well-typed, and structured so that AI coding assistants and autonomous agents can reason about and invoke them naturally. 

• Build developer tooling, templates, and golden paths that reduce friction and accelerate time-to-first-integration for both human developers and AI-driven workflows. 

• Operate and optimize services on Kubernetes (EKS) and AWS, making pragmatic infrastructure decisions that balance developer experience with operational reliability. 

• Model and manage data in MongoDB with thoughtful schema design that aligns with domain boundaries and supports evolving query patterns. 

• Collaborate closely with product, compliance, and integration teams to translate complex financial and regulatory requirements into elegant platform abstractions. 

• Continuously evaluate and integrate AI-assisted development tools and patterns into the team’s workflows, raising the bar for what’s possible. 

What You Bring 

• Deep experience building platform layers or shared service foundations in an enterprise or B2B SaaS environment, with a track record of enabling third-party integrations and external developer experiences. 

• Strong command of Domain-Driven Design in practice—bounded contexts, aggregates, domain events, anti-corruption layers—not just theory. 

• Proven ability to design and operate event-driven architectures with Kafka, including schema evolution, exactly-once semantics, and event sourcing patterns. 

• Proficiency in Kotlin and TypeScript, with an emphasis on clean, well-tested, and maintainable code. 

• Hands-on experience with Kubernetes (preferably EKS), containerized microservices, and AWS cloud infrastructure. 

• Solid MongoDB experience including schema design, indexing strategies, and performance optimization aligned with domain models. 

• A test-driven development mindset where tests shape design, not just verify behavior. 

• Strong opinions on clean code and architecture, held loosely and communicated clearly—you make the codebase better every time you touch it. 

• A passion for developer experience as a discipline—you’ve designed APIs, SDKs, or platform tooling with the consumer’s experience as the primary design constraint, and you measure success by how quickly someone can go from zero to productive. 

• Genuine enthusiasm for AI and its potential to transform how platforms are built and consumed. You follow developments in AI agents, function calling, MCP, and autonomous systems and think about how platform design enables or constrains them. You’re energized by the idea of building a platform that AI can use as fluently as a human developer. 

• Excellent communication skills and the ability to articulate complex architectural decisions to both technical and non-technical stakeholders. 

Nice to Have 

• Background in fintech, payments, FX, treasury operations, or regulated financial services. 

• Experience designing APIs or event contracts consumed by AI agents or LLM-based systems, including function calling schemas, tool-use patterns, or MCP server implementations. 

• Track record of building internal developer platforms, developer portals, or self-service tooling that measurably improved developer velocity. 

• Familiarity with compliance frameworks (SOC 2) and how they influence platform design. 

• Contributions to open-source projects or developer tooling. 

• Experience building multi-tenant platforms that serve diverse institutional clients. 

Why This Role Matters 

The platform layer is the highest-leverage code in the company. It’s what makes every product team faster, every integration cleaner, and every AI capability possible. You won’t be building features in isolation—you’ll be shaping the foundation that everything else is built on, and defining what it feels like to build on that foundation. If you believe that great developer experience is an act of empathy, that the best platforms are the ones that disappear into simplicity, and that AI-first design is the future of how platforms are consumed—we’d love to talk. 

We are looking for an experienced Salesforce Architect to join our team on a full-time basis. In this role, you will be responsible for designing and delivering scalable, secure, and high-performing Salesforce solutions that support business objectives. You will work closely with stakeholders, developers, and global teams across multiple Salesforce Clouds

What you will do

• Design end-to-end Salesforce solution architectures with a strong focus on scalability, security, and performance;
• Collaborate with business stakeholders to analyze requirements and translate them into technical and architectural solutions;
• Work closely with Business Analysts during pre-sales and discovery phases, contributing technical expertise to shape optimal solutions and support well-informed decision-making;
• Participate in discovery sessions with clients to better understand business challenges and help define future-state solutions;
• Define technical strategies and select the most appropriate implementation approaches (declarative vs. programmatic);
• Lead and oversee development of Apex, Lightning Web Components (LWC), Flows, triggers, and integrations when required;
• Architect and manage integrations with third-party systems using REST / SOAP APIs;
• Ensure solutions follow Salesforce best practices, architectural standards, and security guidelines;
• Support data migration, automation, and system optimization initiatives;
• Define and maintain CI/CD pipelines, DevOps processes, and deployment strategies;
• Provide technical leadership, guidance, and mentorship to Salesforce Developers;
• Stay up to date with Salesforce platform releases and recommend innovative improvements

We are looking for

• 5+ years of hands-on experience with Salesforce as a Developer and/or Architect;
• Strong expertise in Salesforce architecture and experience with multiple Salesforce Clouds (Sales, Service, Marketing, etc.);
• Advanced knowledge of Apex, LWC, Visualforce, SOQL, Flows, and APIs (REST/SOAP);
• Proven experience designing scalable solutions and complex system integrations;
• Solid understanding of Salesforce security model, data modeling, and performance optimization;
• Experience with CI/CD, DevOps tools, and Salesforce deployment strategies;
• Salesforce certifications (Application Architect, System Architect, Technical Architect) are a strong advantage;
• English proficiency at C1 level (written and spoken);
• Ability to work independently and collaborate effectively within distributed teams.

This is a freelance, project-based role for a specific scope of work. Please include a link to your portfolio when applying.

About the project

We're looking for a UI/UX designer to redesign the configuration menu of an existing 3D product configurator. The configurator is used by clients to visualize and customize furniture/outdoor product lines in real time. 
 

https://www.tuuci.com/designstudio/
 

Current State

The existing menu is outdated, unnecessarily complex and creates usability challenges due to limited guidance for new users. It can also prevent the team from introducing new features. The current main goal for customer is to configure each product on the scene individually, rather than product composition as a whole, which can’t be done with the current menu set up.

Scope of Work

• Audit of the current configurator UX/UI (we will provide details on main pain points and any context that needed)
• User flow mapping for the new "configure by element" experience
• Wireframes and interactive prototypes
• UI design aligned with existing brand guidelines

• Design handoff documentation for development (specs, states, edge cases)

   

Deliverables

• UX audit summary
• User flow diagrams
• Wireframes (low-fi)
• Interactive prototype (e.g., Figma)

• Final high-fidelity UI designs, including all component states (default, hover, selected, disabled, error)

   

What we're looking for

• Strong portfolio in configurator, e-commerce or product customization UX 
• Experience designing complex interfaces 
• Comfort working with 3D/visual product data and real-time preview systems
• Ability to simplify complexity without removing functionality
• Familiarity with component-based design systems
• Strong communication skills (a collaborative process with our internal team and stakeholders)

Who We Are

At Bennett Data Science, we've been pioneering the use of predictive analytics and data science for over a decade for some of the biggest brands and retailers. We're at the top of our field because we focus on delivering actionable AI for our clients. Our deep experience and product-first attitude set us apart from other groups and gets us the business results our clients want.

Why You Should Work With Us

You'll be exposed to a wide range of clients who are at the cutting edge of innovation in their field and get to work on fascinating problems, supporting real products, with real data. We help lots of companies, from some of the largest companies in the world to small startups in Silicon Valley who are building the next big thing.

Expert Mentorship: Direct guidance from senior staff with 20+ years of applied ML experience

Competitive Compensation: Market-rate pay with performance upside

Fully Remote: Work from any location of your choice, on a flexible schedule

The Role:
We are seeking a Senior Data Scientist to support the design, development, validation, and productionization of an advanced forecasting solution. This is a hands-on role requiring strong statistical judgment, practical modeling experience, and the ability to translate analytical findings into clear recommendations.

The successful candidate will work closely with data science, data engineering, and business stakeholders throughout the full modeling lifecycle, from exploratory analysis and model development to deployment, documentation, and handoff.

Key Responsibilities

• Develop, evaluate, and improve forecasting models using Python.
• Establish appropriate baselines and compare alternative modeling approaches.
• Design rigorous time-based backtesting and model-validation frameworks.
• Develop methods for handling limited historical data, changing patterns, and structural shifts.
• Produce prediction intervals and other measures of forecast uncertainty.
• Identify, test, and monitor potential forecast drivers.
• Develop configurable scenario-planning and sensitivity-analysis capabilities.
• Create model diagnostics and early-warning indicators.
• Write modular, tested, maintainable, and well-documented code.
• Collaborate with data engineering on production pipelines, model tracking, and automated forecast runs.
• Explain model results, assumptions, limitations, and changes to technical and non-technical stakeholders.
• Support technical documentation, knowledge transfer, and final solution handoff.
  
  Required Qualifications
• Five or more years of professional experience in data science, applied statistics, econometrics, forecasting, or a related field.
• Strong practical experience developing forecasting or predictive-modeling solutions.
• Advanced Python and SQL skills.
• Strong knowledge of regression, time-series methods, feature engineering, residual analysis, and uncertainty estimation.
• Experience designing rolling or time-based backtests and preventing data leakage.
• Ability to distinguish meaningful predictive signals from unstable or spurious correlations.
• Experience developing production-quality analytical code using version control and standard software-development practices.
• Strong analytical communication and stakeholder-management skills.

• Ability to work independently and deliver within a defined project timeline.
   

  Preferred Qualifications

• Experience developing scenario-planning or decision-support tools.
• Experience working with small historical samples or significant changes in underlying data patterns.
• Familiarity with Microsoft Fabric, Azure, MLflow, or comparable cloud-based analytics platforms.
• Experience productionizing forecasting models and implementing ongoing performance monitoring.
• Experience presenting analytical findings to Finance or senior leadership.

About the Client

Our client is a fast-growing deep-tech startup building advanced solutions for monitoring large-scale critical infrastructure. Their technology combines innovative fiber-optic sensing with machine learning to turn existing optical fiber into a real-time distributed sensor, helping monitor infrastructure such as power grids, pipelines, railways, roads, and other critical assets.

They are building a scalable, cloud-native platform designed to solve real-world, high-impact problems. Their culture is product-driven, fast-paced, and ownership-oriented. They value strong engineers who think like builders, move fast, and care deeply about quality.

We are looking for a Senior AI-Integrated Full Stack Engineer to join our client’s applications engineering team. You will play a key role in designing, building, and scaling their platform end-to-end — from intuitive frontend experiences to robust backend services and cloud infrastructure.

What You’ll Do

* Design and implement scalable, high-performance web applications end-to-end

* Be part of an intensive transformation to modern AI work methodology using the latest AI models.

* Architect backend services and APIs and build modern, responsive frontend applications.

* Be part of complex technical discussions with the ability to contribute a major part to the discussion and decisions.

* Own features from concept to production

* Optimize performance, reliability, and security across the stack as well as promote engineering best practices

What You Bring

* 5+ years of experience as a Full Stack Developer.

* Proven experience in development using AI as the main working tool.

* Proven experience with the relevant technologies and frameworks.

* Strong understanding of system design (experience with Chakra UI is an advantage), scalability, and cloud architecture

* Proven experience working with AWS in production environments

* Fluent in English and strong communication skills.

* You embrace change and learning on the go.

* Experience working in startup or fast-paced environments.

* Strong problem-solving skills and ownership mindset.

Our Client’s Tech Stack

* Full stack: Next.js, NestJS (Typescript)

* System design: ChakraUI

* Infrastructure: Kubernetes, Docker, CI/CD pipelines

* Database: SQL / NoSQL (depending on service)

* Cloud: AWS (Lambda, ECS/EKS, S3, RDS, etc.)

AI & Modern Engineering Expectations

Candidates must be proficient and up-to-date with the latest AI advancements, actively using AI-powered development tools (like Claude Code, Code Rabbit, or similar) to accelerate development, enhance code quality, and innovate product features where AI adds user value.

Nice to Have

* Experience with Spec-Driven-Development and methodologies to support full AI embracement

* Experience designing and developing microservices architecture.

* Experience with Python and Dash.

* Background in performance optimization and distributed systems

Our partner is a leading B2B iGaming supplier delivering engaging casino content to regulated markets worldwide. Since 2012, they’ve been building high-quality gaming experiences through a modern cloud-native platform that powers hundreds of operator brands across multiple jurisdictions.

Their Platform Solutions team sits at the heart of that ecosystem, enabling seamless integrations between the company, operators, aggregators and platform providers.

They’re now growing the team and looking for a Senior Integration Manager who thrives on ownership, enjoys solving technical challenges and wants to operate at the intersection of Product, Engineering and partners.

About the Role

This is not a traditional Integration Manager or Project Manager role.

They’re looking for someone who combines strong technical understanding with excellent stakeholder management and genuine ownership.

You’ll own partner integrations from initial technical discovery through to launch and beyond, becoming the primary technical contact for your portfolio of operators and aggregators. You’ll work closely with Product, Engineering and QA while representing the company externally, ensuring integrations are delivered successfully and issues are resolved efficiently.

The role is highly cross-functional and requires someone who is equally comfortable discussing API behaviour with engineers as they are leading technical conversations with partners.

Main Responsibilities

– Own end-to-end technical integrations with operators, aggregators and platform providers.
– Act as the primary technical contact for assigned partners throughout onboarding, launch and
BAU.
– Drive multiple integrations simultaneously while managing priorities and timelines.
– Troubleshoot complex integration issues, working closely with engineering teams to identify
root causes and drive resolution.
– Review API documentation, validate integration requirements and support partners throughout
implementation.
– Coordinate technical testing, certification and go-live activities.
– Work closely with Product, Engineering and QA to ensure successful delivery.
– Improve integration processes, documentation and partner onboarding experience.
– Build trusted relationships with both technical and non-technical stakeholders.

What Success Looks Like
– Successful people in this role:
– Take ownership rather than simply coordinate.
– Investigate issues independently before escalating.
– Build trust with engineers and external partners.
– Communicate technical concepts clearly.
– Drive integrations through to completion.
– Continuously improve processes rather than simply maintaining them.

Mandatory Requirements

– Strong experience in Integration Management, Technical Account Management, Solutions
– Engineering or a similar technical customer-facing role.
– Previous experience within iGaming or another API-heavy B2B SaaS environment.
– Solid understanding of REST APIs, HTTP, JSON, authentication methods and webhooks.
– Good understanding of API testing and troubleshooting methodologies.
– Experience investigating integration issues using logs and monitoring tools.
– Understanding of networking fundamentals including DNS, SSL/TLS and connectivity
troubleshooting.
– Ability to review technical documentation and API specifications.
– Excellent communication skills and confidence working directly with engineers and external
technical teams.
– Strong ownership mindset with the ability to drive work independently.
– Fluent English.

Nice to Have
– Experience with OAuth, JWT or HMAC authentication.
– Exposure to observability tools such as Kibana, Grafana or Datadog.
– Previous software development experience.
– Experience working with cloud-native platforms.
– Leadership or mentoring experience.
– Experience improving integration frameworks, tooling or documentation.

We offer

– Work on a modern cloud-native platform serving regulated markets worldwide.
– Solve technically interesting integration challenges.
– Own your work from discovery through production.
– Collaborate with experienced engineers and product teams.
– Influence how integrations are delivered and continuously improved.
– Remote-first environment with flexible working.
– Competitive salary and quarterly bonus.
– Unlimited annual leave and sick leave.
– Private medical insurance.
– Learning and development budget.
– Genuine opportunities for career growth into technical leadership.

Equals 5 is a platform for managing advertising campaigns across digital channels: Meta, LinkedIn, Programmatic, etc. We build data infrastructure on GCP and process campaign statistics in BigQuery and ClickHouse.

We are looking for an Integration Team Lead to own our ad-platform integrations: the architecture, a team of 2–4 engineers, and the roadmap. Fully remote (EU timezones), reporting directly to the CTO.

What you'll do

• Own the architecture and evolution of all platform integrations: Meta Marketing API, LinkedIn Marketing API, Programmatic channels (DV360, The Trade Desk)
• Lead a team of 2–4 engineers: code reviews, sprint planning, mentorship
• Design and maintain data pipelines from ad platform APIs to BigQuery/ClickHouse via Cloud Run Jobs
• Ensure data sync reliability: monitoring, alerting, error handling, retry strategies
• Work with API rate limits, OAuth flows, and webhooks across advertising platforms
• Drive new integration projects from API evaluation to production rollout
• Prioritize the integration roadmap together with the product team

Tech stack: Python 3.11+, GCP (Cloud Run, Cloud SQL, GCS), BigQuery, ClickHouse, PostgreSQL, Grafana, Cloud Build, Docker, Claude Code.

Must have

• 5+ years in backend/data engineering
• Strong Python: production-grade code with error handling, logging, and tests
• Experience leading a team of 2+ engineers
• Solid understanding of data pipeline patterns: idempotency, backfill, incremental sync, schema evolution
• Experience with GCP or a comparable cloud at the service design level
• Experience integrating third-party APIs: rate limits, OAuth flows, webhooks, async reports
• Comfortable using AI coding assistants (Claude Code, Cursor, Copilot) in daily work

Nice to have

• Hands-on experience with Meta Marketing API or LinkedIn Marketing API: breakdowns, attribution windows, async reports
• Workflow orchestration platforms: Airflow, Prefect, Temporal
• BigQuery and/or ClickHouse
• The Programmatic ecosystem: DV360, The Trade Desk, OpenRTB
• Advertising metrics: impressions, clicks, conversions, ROAS, attribution models

How we work

We use Claude Code across the whole development workflow: writing and reviewing code, debugging production issues, designing system architecture. You will help the team shape these practices. We value ownership of your pipelines in production, pragmatism, transparency, and systems thinking: you see the full chain from API ingestion to the end-user dashboard.

What we offer

• Fully remote with flexible hours (EU timezones for syncs)
• Direct influence on technical strategy: you report to the CTO, with no layers between you and technical decisions
• Claude Code licenses and AI tooling as standard practice
• A small team where decisions are made fast

Interview process

1. Intro call (30 min): get to know each other, align on expectations
2. Technical interview (90 min): integration architecture, API experience, data pipeline design
3. Culture fit interview with PM

c3 is a research-led startup based in London and Kyiv. We are expanding our team and research and are seeking an RF engineer as part of this expansion. 

Requirements

• Strong background in RF sensing and wireless signal processing: channel state information (CSI), RSSI, multi-carrier/OFDM systems, amplitude/phase extraction, multipath, and the physics of RF propagation.
• Hands-on experience with real RF/wireless hardware data. You should have dealt with noisy channel estimates, phase instability, hardware/carrier frequency offsets, antenna effects, calibration drift, and the gap between clean lab captures and messy real-world signals.
• Strong understanding of RF signal-to-information inversion: extracting physical meaning from raw wireless measurements, and reasoning rigorously about what is and isn't recoverable from a given signal.
• Experience solving temporal sensing problems: detecting sustained change in a physical environment against a learned baseline, and separating genuine events from transient or cyclical confounders.
• Familiarity with the electromagnetic behaviour of materials (attenuation, permittivity, frequency-dependent effects, multi-band sensing) is highly valuable.
• Strong Python and PyTorch skills, with experience building production-quality evaluation and inference pipelines.
• Experience with classical estimation alongside ML — Kalman/particle filtering, Bayesian inference, change-point detection, or equivalent — not only deep learning.
• Experience with signal-processing toolchains (NumPy/SciPy, spectral analysis, filtering) and, ideally, embedded RF platforms (ESP32, SDR, Nordic, or similar).
• Experience with synthetic data generation / physical simulation for augmentation and controlled failure-case generation.
• WiFi sensing, radar, RF localization, IoT sensing, wireless communications, or defence signals experience is highly relevant.
• Fluent English.
• Kyiv-based preferred; hybrid or remote considered.

What you will do

• Build robust detection pipelines that extract a reliable physical signal from cross-link RF data while remaining insensitive to everyday environmental variation.
• Handle noisy channel estimates, phase drift, packet loss, hardware offsets, and differences between devices and deployments.
• Build temporal detection and classification that distinguishes genuine sustained events from transient activity, environment-wide confounders, and cases of insufficient evidence.
• Develop confounder-rejection reasoning so that environment-wide effects are not misclassified as localized events.
• Build multi-band and cross-link inversion using physical models and learned features, followed by robust localization.
• Define confidence / failure detection for detection and localization results rather than forcing a result from bad signals.
• Develop event classification and severity scoring once the underlying signal is sufficiently reliable.
• Create synthetic perturbations and physics-based generated training/evaluation data covering known failure modes.
• Own evaluation against ground truth, including detection rate, false-positive/negative rate per unit-time, localization accuracy, timing error, and uncertainty calibration.
• Evaluate alternative sensing representations and fusion approaches — including multi-band spectral methods, time-of-flight techniques, and integration with external contextual data — where they materially improve fidelity.

About ChatRevenue.ai 

ChatRevenue.ai was founded by Ratmir Timashev (founder of Veeam) and Vlad Voskresensky (founder of Revenue Grid). 

We are building an agentic sales automation for post-CRM era. The AI-native product combines structured and unstructured data, LLM workflows, and agentic automation to help sales people to focus properly, work more efficiently and automate repetitive sales processes. 

The product is already being tested by early customers. We are growing the core engineering team and looking for people who want to work on real product systems with direct impact on architecture, quality, and speed of delivery. 

About the role 

We are looking for a Senior Generative AI Engineer with 5+ years of commercial Python experience and hands-on experience building production GenAI / RAG systems. 

This is a hands-on engineering role focused on: 

• Python backend  
• LLMs and RAG  
• AI Copilot / assistant workflows  

We are looking for someone who can take a problem, propose a practical solution, and move it to production. 

What you will do 

• Design, build, deploy, and maintain production GenAI / RAG pipelines  
• Integrate LLMs and agentic assistants into product workflows  
• Improve latency, reliability, scalability, and cost-efficiency of AI systems  
• Evaluate and implement new GenAI, multi-agent, and orchestration frameworks  
• Contribute to architecture and technical decisions across the platform  

What we are looking for 

• 5+ years of commercial Python experience 
• Strong backend experience with FastAPI, APIs, webhooks, Docker, Kubernetes, Git, and CI/CD 
• Commercial experience with LLMs in production 
• Strong hands-on experience with RAG, retrieval workflows, embeddings, and vector search 
• Experience with LangChain, LangGraph, LangSmith, or similar frameworks 
• Good knowledge of SQL, Pandas, ETL, data cleaning, and ingestion pipelines 
• English: B2 or higher 
• High ownership, independence, and product mindset 

Nice to have 

• Multi-agent LLM systems 
• Knowledge graphs, graph databases, or graph-based retrieval 
• Kafka, Azure Event Hub, or other event-driven systems 
• Azure cloud infrastructure 
• Production ML / NLP systems 
• Evaluation, tracing, observability, and optimization of AI pipelines 
• Graph algorithms or tools like NetworkX 

What we offer 

• Remote-first setup 
• Flexible schedule aligned with European time zones 
• A core engineering role in an AI-native product 
• Direct influence on technical decisions and architecture 
• Real ownership and visible product impact 

If you have strong Python backend fundamentals and real production GenAI / RAG experience, we’d love to talk.