Jobs at Djinni

Summary
We're a creative team looking for a Meta ads specialist to set up and run our ad accounts on an ongoing basis. You would build the campaigns, monitor performance, run tests, and make adjustments over time to keep results improving. We handle all of the visuals and messaging in-house, so you would focus purely on the ads side: setup, targeting, testing, optimization, and reporting.

This is an ongoing, per-account relationship rather than a one-off project. We run several accounts and add more over time, so there is steady, recurring work for the right person.

What you'd do:
Set up campaigns, audiences, and tracking for each account
Monitor performance regularly and make adjustments
Test and optimize to improve results over time
Share simple performance updates so we know how things are going

Must-haves:
Proven experience running Meta ads for the US market (you do not need to be based in the US)
Real examples of past work with actual results, not just claims
Comfortable with an ongoing, per-account arrangement

Nice to have:
Willingness to share insights on what messaging and creative tend to work and what doesn't, so we can factor that into what we produce

What we provide:
All visuals, videos, and on-image messaging

We acquire casino players through email at volume. We need one person to own that channel end to end: data in, deposits out. This is a numbers job. Small team, direct access to the founder, budget for tools, no approval chains.

WHAT YOU'LL OWN

— List operations: validation, cleaning, dedup, suppression management, and geo segmentation across in-house and partner brand geos

— Deliverability at consumer scale: sending infrastructure, domain and IP rotation, warm-up, DMARC and one-click unsubscribe, complaint-rate control, inbox placement testing

— Offers and copy: short, offer-led emails per geo and per brand; testing subject lines, bonus angles and send timing 

— Routing logic: which segment goes to which brand, in what order, with what follow-up 

— Tracking and reconciliation: tracking links, postbacks, CPA vs revshare reconciliation against each brand's affiliate program 

— Reporting: separate views for data providers and for external sending partners, plus weekly numbers to us

MUST HAVE

— 2+ years running B2C email acquisition at real volume (100k+/month), with numbers you can state: delivery rate, complaint rate, registrations, FTDs, cost per FTD 

— Deliverability as a core skill. Gmail/Yahoo bulk sender requirements, DMARC, seed testing and inbox placement tools. You've recovered a burned domain, not just read about it 

— List operations: MillionVerifier / ZeroBounce / NeverBounce or equivalent, bounce and suppression handling, comfortable with large files 

— Affiliate mechanics: tracking links, S2S postbacks, and the difference between what a CPA deal pays and what it actually costs you 

— Consent and compliance awareness: unsubscribe handling, data provenance, geo and licensing restrictions, 18+ and responsible gambling requirements 

— iGaming or affiliate marketing background 

— Self-directed. You build the system, report weekly, don't need chasing

NICE TO HAVE

— Own sending infrastructure (SES, SparkPost, Mailgun, dedicated SMTP) 

— SQL or advanced Excel for list ops 

— Automation with n8n / Make / scripts

Benefits

- Remote

- Bonuses on performance

- No micromanagement and oppurtunity to build something
 

Dripify is a pioneering, remote-first IT product company specializing in outreach automation products. Our platform empowers businesses by revolutionizing hiring, sales, and marketing communication processes, making interactions more efficient and seamless.
 

Product — dripify.com
 

Dripify is entering a new stage of growth — and content is one of the core drivers of our brand, our demand generation, and our category creation.
 

We’re looking for a YouTube Content Manager who will manage Dripify content creation: YouTube as a primary brand awareness + inbound lead generation channel, lead-gen webinars, and a unified content system that compounds over time.

This role is strategic + operational. You’ll set the vision, orchestrate the end-to-end video content creation process, balancing hands-on execution with the effective management of inhouse team, external agencies, and run a high-output, high-quality content engine across video channels. You will partner closely with Content Lead, Marketing, Product, and Sales to drive measurable impact and build a successful YouTube presence from the ground up.

This is a remote-first, high-impact role with cross-functional visibility and direct influence on pipeline, activation, and category leadership.

Requirements
 

• 3–5+ years of experience in content marketing/editorial/brand content roles with a primary focus on YouTube and video content creation.
• 2+ years in B2B SaaS (fast-growing and/or product-led is a strong advantage).
• Proven ability to orchestrate the end-to-end content creation process, balancing hands-on execution with the effective management of external agencies and vendors.
• Strong creativity-first mindset with the ability to develop fresh, standout concepts that cut through noise.
• Proven ability to build and execute content strategies that drive measurable outcomes (pipeline, activation, organic growth).
• Strong research and analytical skills to identify trends, build hypotheses, and optimize content.
• Hands-on experience connecting video content to the inbound lead generation flow.
• Clear YouTube competence: series-based thinking, hooks, retention, packaging (title/thumbnail), production workflows, repurposing.
• Hands-on experience creating, hosting, or producing webinars and video content. Strong project management: cadence, prioritization, systems, quality gates, delivery without sacrificing creativity.
• English B2 or higher
   

Responsibilities
 

Video Content strategy & systems: Own Dripify’s YouTube and video content strategy and execution roadmap aligned with marketing and product goals. Build a scalable video content operating system: script briefs, production workflows, QA, planning cadence, and SOPs.

YouTube (brand awareness + lead gen): Manage YouTube as a growth channel: define pillars, formats, series, and production workflow. Own YouTube performance: packaging (titles/thumbnails), retention, watch time, CTR, and conversion into lead capture. Orchestrate the end-to-end video content creation process, balancing hands-on execution with the effective management of external agencies and vendors.

Webinars (lead generation engine): Launch and scale lead-gen webinars: topic selection, speaker strategy, landing pages, promotion, attendance, follow-up, sales handoff. Build repeatable webinar-to-content repurposing pipelines (clips, YouTube Shorts, and video assets for email/sales).

Inbound lead generation flow: Architect and optimize video-content-driven inbound journeys: video → LP → capture → nurture → MQL/SQL. Drive CTA strategy within videos and webinars to maximize conversion rates.

Team management & cross-functional collaboration: Manage and scale external agencies and vendors (video editors, designers, motion/video creators). Ensure brand voice, messaging, and tone are consistent, differentiated, and high-quality across all video and visual touchpoints. Collaborate with Sales to create and improve video-based sales enablement content (e.g., video case studies, product walkthroughs). Work with Product to translate features into clear, compelling messaging across video and webinar channels.

Analytics & optimization: Build dashboards to track YouTube and video content performance and make data-driven decisions (double down vs deprioritize). Run video content experiments: hypothesis → test → learn → scale.
 

Would be a plus
 

• Experience producing or directing live-action videos (shoot planning, on-camera direction, scripting for real people).
• Experience partnering with influencers/ambassadors/industry spokespeople for co-created content.
• Experience building automation workflows in Make.com, n8n, etc. Hands-on experience building AI-assisted content systems (LLMs, AI writing tools, AI research workflows) that increase output without sacrificing quality, brand voice, or factual accuracy.
• Experience working with HubSpot, GA4, Similarweb, Ahrefs, SpyFu, TubeBuddy, or vidIQ (or equivalents). Strong interest in sales, growth, entrepreneurship, and creator-style content.
   

Work conditions
 

• 24 days of paid vacation per year to recharge and relax.
• 10 days of paid sick leave.
• All national holidays are applicable in Ukraine.
• Educational opportunities.
• Compensation budget for medical expenses (EUR 400/year) and hobby/sport expenses
• (EUR 300/year)
• Generous budget for birthdays and anniversaries.
• Online and offline team events.
   

Hiring process: ✅Portfolio review — ✅Recruiter interview — ✅Lead Content Creator Interview ✅Test task — ✅Interview with CMO & CEO — ✅Reference check — ✅Offer

ML Engineer / MLOps Engineer

Location: Remote
Duration: Long-term
 

Основні обов'язки:

• Керувати повним циклом розгортання, підтримки та моніторингу ML/DL-моделей у production.
• Проєктувати та впроваджувати системи керування датасетами та лейблами, включаючи versioning та інтеграцію customer feedback.
• Розвивати Model Registry з підтримкою версіонування, model lineage та локального inference.
• Впроваджувати рішення для Experiment Tracking та Monitoring (ML та Generative AI), включаючи оцінку моделей, виявлення data drift та забезпечення відтворюваності експериментів.
• Розвивати системи model serving та inference: autoscaling, A/B testing, canary deployments, оптимізація latency та вартості.
• Забезпечувати інфраструктуру для Generative AI (prompt management, tagging tools, LLM testing).
• Покращувати DevOps-процеси, автоматизувати ML workflows та впроваджувати reusable компоненти (CI/CD, data loaders, automated retraining).
• Тісно співпрацювати з Data Scientists та командою Data Platform Engineering для впровадження ML-рішень у production.
   

Основні вимоги:

• Вища освіта у сфері Computer Science, Software Engineering або суміжній галузі.
• Практичний досвід роботи як ML Engineer та MLOps Engineer.
• Глибоке розуміння ML/DL workflows та MLOps best practices.
• Досвід побудови та підтримки CI/CD процесів.
• Комерційний досвід роботи з AWS, Azure або GCP.
• Впевнене володіння Python та Java.
• Досвід роботи з PostgreSQL, MongoDB, Redis.
• Практичний досвід з MLflow, Langfuse, SageMaker або аналогічними інструментами.
• Досвід роботи зі Spark.
• Досвід використання PyTorch або TensorFlow.
   

Важливо:  мати комерційний досвід одночасно як ML Engineer, так і MLOps Engineer.

Interview Process:
1. HR with Recruiter (~30 min)

2. GenAI Avatar Screening  (~30 min)

3. Intro call with the client (~30 min)
4. Technical interview (~2 hours)
5. Second technical interview (1–1.5 hours)
6. Final HR interview with client (~30 min)

Search is splitting in two: classic Google and answers inside ChatGPT, Claude, and other AI assistants. We build the platform that helps enterprise SEO teams win in both. Now we need someone to do the same for our own brand.
 

Who we are

JetOctopus is a technical SEO platform with 10 years on the global market. We bring crawl data, server logs, Google Search Console, and GA4 together in one place, and we track how AI crawlers like GPTBot and ClaudeBot behave on large sites. 

Our customers range from Ukrainian market leaders (Rozetka, Auto.ria, Dim.ria, Comfy, Promodo) to global brands like Adidas, Glovo, HubSpot, and Rituals. Low churn, customers on every continent, and a flow of leads that come by word of mouth. The product sells well; we want the content to match it.
 

The role

You'll own content at JetOctopus end to end. Not "write what you're told," but set the strategy, plan it, ship it, and answer for whether it moves the business.
 

Your main mission right now: maximum visibility for our site in both classic search and LLM answers. That means content written for how these systems find and cite sources, plus a presence beyond our own domain — Reddit, YouTube, third-party publications. You won't do all of that with your own hands; colleagues and freelancers will help in those channels. But the strategy that ties it together is yours.
 

The content itself is technical. We write about SEO for people who do SEO for a living, so you need to genuinely understand the field, not just the keywords.
 

What you'll actually do

• Set and own the content strategy, measured in business results
• Write for the blog, landing pages, and email newsletters (external writers can carry volume; the voice and the bar are yours)
• Run our LinkedIn & X: posts, community, brand
• Orchestrate off-site visibility: Reddit, YouTube, third-party sources
• Experiment on platforms that are new to us — today we're on LinkedIn, YouTube, and X, but there's a lot of ground we haven't touched yet
• Create content for decks, presentations, and case studies, and brief the designer on new pages
   

You're probably a fit if you have

• 5+ years in content, ideally in B2B SaaS or product IT
• Real SEO expertise and experience writing content that ranks — and, ideally, gets cited by LLMs
• A portfolio with numbers behind it: traffic, engagement, conversions
• Fluency in B2B SaaS metrics and content-led funnels
• Advanced (C1+) English
• The self-organization to carry a piece from concept to release without being chased
   

One thing we care about deeply: we're an "Always Human" brand. We're very AI-friendly — use it to proofread, analyze, research, organize. But the writing and the voice have to be yours. If your portfolio reads like a model wrote it, we're not a match.
 

What you get

• Remote-first culture: work from wherever you think best
• A technically complex product with a name in the global SEO community — and the brands to prove it
• Subscriptions to every tool you need
• Full or partial compensation for courses and training
• Competitive salary in EUR, FOP taxes covered, 20 days of vacation + public holidays 

We are looking for a Technical Project Manager who is a genuine bridge between our software and hardware teams — not just a coordinator, but someone who understands both worlds well enough to add value in each direction. You will translate field test results into engineering tasks, help the Lead Architect research and validate solutions, and champion AI tooling across the team.
 

What We Offer

• A central role in mission-critical autonomous systems development for national defense.
• Direct collaboration with top-tier CV, embedded, and robotics engineers.
• Significant influence on technical direction and team culture.
• Freedom to explore and introduce AI tooling across the team's workflows.
• Competitive compensation aligned with expertise.
• Temporary exemption from military service for the duration of work on defense-critical projects.

Requirements

     Technical Background — Required

• 4+ years in software engineering; (CV/ML, technical lead, or architect role)
• Solid understanding of CV pipelines: detection, tracking, SLAM/visual odometry — enough to evaluate accuracy and latency trade-offs from field results.

• Python proficiency; C++ reading-level minimum.

   

  Will be a Plus

• Hands-on experience with ONNX, TensorRT, or quantization workflows.
• Experience with deep learning frameworks (PyTorch or TensorFlow) and model optimization workflows.
• Working knowledge of ROS — nodes, topics, services, inter-module communication.
• Familiarity with edge platforms (NVIDIA Jetson or similar) and real-time constraints.
• Familiarity with autopilot ecosystems (ArduPilot, Betaflight) — enough to read architecture docs and contribute to technical decisions.
• Sensor fusion experience (Camera + IMU + GPS).

Project & Communication Skills

• Proven ability to manage complex technical projects across multi-disciplinary teams.
• Able to take polygon/field test results and convert them into clear, prioritized engineering tasks.
• Comfortable working directly with a Lead Architect — receiving high-level requirements, researching solutions, presenting structured proposals.
• Proficient with Jira and Confluence — task tracking, sprint management, structured documentation.
• Strong written and verbal communication; comfortable leading design reviews and justifying trade-offs.

AI Tools & Mindset

• Active daily user of AI tools (Claude, Cursor, Copilot, or similar).
• Genuine drive to become an internal AI champion — introduce tools, identify new use cases, raise the bar for the whole team.

Responsibilities

• Own end-to-end delivery across multiple workstreams (autonomous drone, turret control, and future platforms): planning, tracking, risk management, reporting.
• Primary technical liaison between software (CV/ML, ROS) and hardware/embedded teams — translating requirements, surfacing blockers, resolving misalignments.
• Attend polygon and field tests; translate results — including HIL/SIL outcomes — into structured engineering feedback and task descriptions.
• Work with the Lead Architect to research new approaches; prepare structured proposals for architectural decisions.
• Coordinate module integration (optical guidance, servo control, ROS layers) — interfaces, latency requirements, milestones.
• Maintain project documentation: requirements, test reports, decision logs, vendor deliverable tracking.
• Introduce and evangelize AI tooling across engineering workflows.

Nice to Have

• Hands-on experience with autonomous drones, FPV, or UAS platforms.
• ArduPilot or Betaflight ecosystem experience.
• MLOps or model deployment pipeline experience.
• Experience managing vendor/partner relationships — RFP processes, deliverable tracking.
• Systems thinker — holds the full picture while diving into details when needed.
• High ownership; comfortable with ambiguity and fast-moving field environments.
• Surfaces problems early with proposed solutions, not just issues.
   

Are you passionate about building scalable products that contribute to innovation in healthcare and life sciences? We are looking for a Senior Full Stack Software Developer to join a long-term remote project focused on scientific computing, AI-powered workflows, and cloud-native engineering.

You will become part of a distributed European team developing a modern platform that helps pharmaceutical companies and researchers accelerate medicine development and improve analytical and regulatory processes. The role combines complex Back-end challenges, modern Front-end development, and opportunities to work with AI-driven features and distributed systems.

We at Sigma Software value engineering excellence, collaboration, and continuous learning. Joining our team means working with modern technologies, contributing to meaningful products, and having the freedom to influence technical decisions in a supportive professional environment.

CUSTOMER

Our Customer is a Europe-based company operating in the pharmaceutical and life sciences domain. The company is developing advanced digital solutions that support pharmaceutical organizations and researchers in managing and analyzing mathematical and computational models used in medicine development and research workflows.

PROJECT

The project focuses on building a cloud-native platform that combines scientific computing, data analysis, and AI-powered workflows. The solution enables users to upload, store, visualize, and analyze complex computational models while supporting technical and regulatory processes within the pharmaceutical industry.

The platform leverages modern distributed architecture and provides engineers with opportunities to work on AI-powered features, event-driven systems, scalable APIs, and cloud-native services.

Responsibilities

• Develop and maintain modern Full Stack web applications with a strong focus on Back-end architecture and scalability
• Design and implement AI-powered features and intelligent workflows
• Build and operate reliable, secure, and scalable cloud-native services
• Collaborate with product managers, UX designers, architects, and engineering teams
• Participate in architecture discussions and technical decision-making
• Develop and maintain RESTful APIs and service-to-service communication
• Implement microservices and event-driven architecture patterns
• Ensure application reliability, observability, security, and performance
• Contribute to CI/CD processes and engineering best practices
• Promote engineering excellence and AI adoption within development teams

Requirements

• At least 5+ years of commercial experience in software development 
• Strong proficiency in JavaScript and TypeScript
• Hands-on experience with React and Next.js in production environments
• Strong experience with NestJS and scalable API design
• Commercial experience with Go OR strong experience with Python ecosystem technologies
• Experience with FastAPI, SQLAlchemy, pandas, numpy, and related Python tooling
• Solid understanding of microservices architecture and event-driven systems
• Experience with PostgreSQL and ORM tools such as Prisma
• Practical experience with Docker and Kubernetes
• Experience with NATS.io or similar messaging technologies
• Experience integrating IAM/SSO solutions such as Keycloak
• Strong understanding of RESTful APIs and distributed systems
• Knowledge of application security best practices
• Experience working with CI/CD pipelines and Git
• Strong analytical and problem-solving skills
• Ability to work independently and collaborate effectively in cross-functional teams
• Upper-Intermediate or higher level of English

Will be a plus

• Experience in pharmaceutical, biotech, healthcare, or scientific research domains
• Experience working with computational or mathematical modeling platforms
• Familiarity with AI/ML integrations in enterprise applications
• Experience with regulatory or compliance-driven systems
• Experience with scientific or analytical data visualization
• Familiarity with R for research or analytical purposes

🔴 about the company
whiteout is an international media buying agency born in Ukraine, specializing in the gambling and betting verticals. backed by venture capital, they’ve already established digital activity across 30+ countries — from latam to southeast asia. at their core, they’re a team of passionate igaming experts. energetic, ambitious, and laser-focused on results — we move fast, think big, and never settle. if you’re hungry to grow and thrive in a high-performance environment, you’ll feel right at home with them.

🔴 the role
as we continue to grow, we’re looking for an Android Developer to join our team.
We’re ready to invest in your growth by providing mentorship, hands-on experience, and continuous learning opportunities.
 

🔴 what you will be working on

• assisting in the development of native Android applications and lightweight WebView-based apps;
• participating in the development and release of mobile applications under the guidance of senior team members;
• preparing application builds for Google Play publishing;
• integrating third-party SDKs and services (e.g. Firebase, AppsFlyer, Facebook SDK, OneSignal);
• collaborating with designers and developers to implement application features and UI updates;
• working with REST APIs and supporting client-server integrations;
• fixing bugs, improving application stability, and optimizing performance;
• participating in code reviews, testing, and the continuous improvement of the development process.
   

🔴 your background

• 6+ months of experience in Android application development (commercial experience, internships, or personal projects);
• basic understanding of the media buying ecosystem and an interest in the iGaming (gambling/betting) niche;
• hands-on experience with native Android development using Java or Kotlin;
• basic experience working with WebView;
• experience integrating or familiarity with SDKs such as Firebase, AppsFlyer, Facebook SDK, and OneSignal;
• understanding of REST APIs, OOP principles, and Android architectural patterns such as MVVM or MVP;
• basic knowledge of multithreading and dependency injection (DI);
  willingness to learn Google Play publishing and platform policies.
   

🔴 what we offer:

• flexibility and freedom: choose fully remote, hybrid, or office-based work yourself;
• strong team: work alongside some of the industry’s top talent;
• career development: take courses, attend top-notch conferences;
• health support: paid vacation and sick leaves, and access to a corporate psychologist;
• corporate culture: enjoy off site parties, team-buildings, sport events, and corporate gifts.
   

let`s talk.

About QOVES
QOVES is a technology company pioneering facial aesthetics, helping consumers make smarter beauty decisions. Every day, people make important decisions about their appearance based on guesswork or generic advice. We help them decide with clarity instead. Our platform gives customers a clear, science-backed understanding of their face, paired with bespoke advice on how they can look better. Our work reaches millions: more than 2.5 million people follow QOVES across platforms and most importantly, our customers are delighted, with 4.8 stars across 600+ reviews; we believe this reflects the care and sensitivity with which we approach everyone who comes to us for guidance. We're a profitable, growing company headquartered in London, with a team across the globe. What guides us is simple: people deserve more than one-size-fits-all advice when it comes to their appearance. Every decision we make (from the science behind our models to the way we communicate results) is grounded in evidence, responsibility, and a broad, inclusive understanding of beauty.

About the Role
You will join the backend team building the computer vision and machine learning systems that power QOVES's facial analysis platform. The non-negotiable is proven production experience: at least 3 years building scalable software in Python, with hands-on work shipping AI or ML features, including computer vision or LLM-based systems, into a live codebase. You will work closely with the AI Research team to translate research prototypes into production-ready code, own delivery end to end across analysis, design, coding, testing, deployment, and support, and optimise applications for performance and scalability as usage grows. You will also work with the wider team to spot problems early and resolve them before they become blockers.

What We're Looking For
• 3+ years of professional experience in production-level scalable software development with Python
• Strong proficiency with Python for building production-grade APIs
• Hands-on experience integrating AI or ML features, including computer vision or LLM-based systems
• Solid grasp of software architecture principles and API design, with the ability to contribute meaningfully to architectural decisions
• Experience owning work across the full software development lifecycle
• Strong sense of code quality, testing discipline, and engineering best practices
• Excellent communication skills, with the ability to articulate trade-offs and design decisions clearly
• A collaborative, proactive mindset with strong problem-solving skills

Nice to Have
• Knowledge of MLOps practices and experience with Data Version Control (DVC) or similar tools
• Knowledge of data pipelines, including designing production-grade GPU inference pipelines for high-throughput workloads
• Exposure to frontend or full-stack development
• Experience working in a startup or fast-paced product environment
• Experience building data pipelines or working with large-scale data processing

Why Join
• Build the computer vision and machine learning systems behind a product used by millions
• Fully remote with real autonomy and direct collaboration with the AI Research team
• A profitable, growing company with a global team

Compensation and Logistics
• Remote, full-time, open to applicants worldwide
• Compensation competitive, based on experience

CubicMind AI Ltd is a UK-based early-stage deep tech startup building the next generation of AI-powered computer control devices. We are developing an edge AI device that runs AI models directly on-chip, enabling real-time screen understanding and autonomous computer control. We move fast, work close to the metal, and care deeply about performance and real-world impact.

About the Role:
We are looking for a smart, autonomous C++ Engineer to join our core team. You will be working directly with the founder on optimizing, converting, and deploying AI models onto custom hardware. This is not a standard web-dev role — you will deal with low-level memory management, ONNX runtimes, NPU acceleration, and model debugging.

Since we are a fast-paced startup, we don’t do daily micromanagement or endless meetings. We expect you to take ownership of your tasks, debug aggressively, and communicate blockers proactively.

Must-Have Qualifications:

• Strong knowledge of C++ and low-level programming concepts (memory management, pointers, concurrency).
• Solid understanding of computer architecture (how CPU/GPU/memory interact at a low level).
• Strong mathematical background (Linear Algebra, Calculus).
• University degree completed (no ongoing exams or heavy university commitments).

• High autonomy and problem-solving mindset: you don’t give up when a script throws a cryptic error; you dig into the source code.

   

  Nice-to-Have (or willing to learn fast):

• Some commercial experience in C++ development (6-12 months).
• Basic understanding of Machine Learning concepts.
• Understanding of how LLMs, Transformers, and Attention mechanisms work under the hood.
• Experience with ONNX, tensor operations, or hardware deployment.

Offer:

• Starting with $650-900/month salary depending on your skills. If you are doing well - rise after 3 months
• Fully remote work with a flexible schedule.

We’re an AI-driven payments startup with active clients, building in a space still dominated by legacy processors.
As a Paid Media Manager, you’ll own and scale B2B acquisition through non-traditional channels - newsletters, YouTube, podcasts, and other niche placements - focusing on what actually converts, not just what’s easy to buy.

What you’ll do:

• Plan and execute paid acquisition through niche B2B channels
• Buy and manage placements in newsletters, YouTube integrations, podcasts, and similar formats
• Identify and test new, unconventional traffic sources
• Negotiate directly with content creators, publishers, and platforms
• Track performance and optimize based on ROI, not vanity metrics
• Build a repeatable and scalable acquisition approach
   

We’re looking for someone who:

• Has hands-on experience buying ads in newsletters, YouTube, podcasts, or similar channels
• Understands how B2B audiences consume content and where to reach them
• Knows how to evaluate placements and predict their potential performance
• Is comfortable working with ambiguous tasks and figuring things out independently
• Thinks in terms of business impact, not just traffic
   

What we offer:

• Fully remote, flexible schedule
• High level of ownership and freedom in decision-making
• Fast-moving startup environment with real impact

Required languages

English

C1 - Advanced

About Not Your Average Start-Up

We’re a mission-driven team that puts people first—fostering a culture rooted in integrity, diversity, and happiness, even in the context of high performance and ambitious goals. Our product is a seamless, AI-powered subscription layer that integrates directly into existing e-commerce checkouts, helping brands boost average order value and recurring revenue with zero added risk or disruption. With a strong focus on continuous innovation and user-centric design, we actively listen, adapt, and improve to deliver real value to both merchants and their customers. Our team culture is centered on empowerment, personal growth, and meaningful collaboration—creating an environment where people can do their best work and thrive. If you’re looking for a place where cutting-edge AI meets purpose and heart, you’ve found it.

We are building a next-generation financial infrastructure designed to optimize and scale payment performance.

At the core, our system acts as a smart payment dispatcher — dynamically routing each transaction through the most optimal path based on risk level, approval probability, and real-time performance across multiple payment providers, banks, and processors.

By intelligently segmenting traffic and continuously learning from transaction data, we maximize approval rates, extend user lifetime value, and drive higher revenue per user.

More than just managing payments, we are building a financial engine that serves as a strategic advantage — enabling speed, control, and scalability in a market traditionally dominated by rigid financial systems.

Now entering a scaling phase, our focus is on building a high-performance infrastructure capable of redefining how modern payment ecosystems operate.

Your Scope:

• Full ownership of P&L and Balance Sheet
• CFO-level responsibilities, including financial strategy, cash flow management, and capital allocation
• Financial planning, forecasting, and long-term modeling (including IPO readiness)
• Building and leading a lean, scalable financial infrastructure
• Providing clear, data-driven insights to support strategic decision-making

What You’ll Do:

• Develop and execute financial strategies that support rapid and sustainable growth
• Own and optimize cash flow, costs, and overall financial performance
• Build financial systems that ensure transparency without slowing down the business
• Partner closely with leadership on key financial decisions and growth priorities
• Contribute to long-term positioning, including preparation for a potential US IPO

You’re a Strong Fit If:

• You have experience in a senior finance role (Finance Manager / Head of Finance / similar)
• You’re comfortable operating across both strategy and hands-on execution
• You thrive in fast-paced, high-growth environments with ambiguity
• You think beyond reporting — using finance as a tool for decision-making and growth
• You take ownership and move fast without waiting for perfect structure

Nice to Have:

• Experience in fintech, startups, or high-growth environments
• Exposure to fundraising, investor relations, or IPO preparation
• Experience building financial processes from the ground up

This role is about ownership, speed, and impact — using finance not just to track performance, but to shape the company’s trajectory.

Location: Remote (US/EU time-zone overlap required) 

Type: Full-time 

Reports to: Board of Directors

The role: 

UEX.US is a cryptocurrency exchange shipping Trading Pro, a savings/rewards product, and a payments stack. We move fast, and we ship. What we don't yet have is one person who owns the answer to: Is this product actually good, is it actually competitive, and does it actually do what we told users it does?

That's this job. You are the user's advocate inside the building and the quality gate for the devs.

This is an AI-first role: We are not hiring a product manager who occasionally uses ChatGPT. We are hiring someone who has rebuilt their entire working method around AI and produces the output of a four-person product team. If that isn't already how you work, this role will be uncomfortable, and you should not apply.

What you'll own:

- User feedback as a system. Discord, support tickets, app-store reviews, churn conversations — pulled in continuously, tagged, quantified by AI pipelines you build and maintain, turned into a ranked list nobody has to argue about. Anecdote becomes evidence, weekly, without a research team.

- Competitive intelligence, continuously. Binance, Kraken, Bybit, Coinbase, MEXC, Gate. Fees, spreads, listings, UX flows, onboarding friction, what they ship weekly. Automated monitoring and AI-generated teardowns — you should know what our competitors changed this week before they announce it.

- Test everything we already have. Every existing feature, hands-on, repeatedly — deposits, withdrawals, order types, KYC, rewards accrual, mobile. AI-assisted test scripts and regression checks where they help; your own hands where they don't. You find the breakage before users do.

- Promise integrity. Every claim on the site, in the app, in the ToS and in support macros must match what the product actually does. Where it doesn't, you flag it and drive it to zero. This is a regulated money services business — a UI label that overstates what a feature does is not a copy problem; it's an exposure.

- Priority discipline. You set the roadmap with the board, then you make it real: specs the devs can build from, acceptance criteria, sprint follow-through, and honest weekly status. Shipped-and-verified, not shipped.

- Metrics. Define them, instrument them, report them. Activation, retention, volume per active trader, support-ticket rate per feature.

## AI requirements — the hard bar

This section carries the most weight in our evaluation. You must be able to demonstrate, live, in the interview:

- Daily production use of frontier models (Claude, GPT, Gemini) as your primary working environment — not as a novelty, as the place your work happens.

- Prompt engineering at a professional level: structured prompts, XML/JSON output contracts, few-shot examples, chain-of-thought, evaluating and iterating on prompt quality rather than accepting first output.

- Building repeatable AI workflows, not one-off chats. Projects, custom instructions, saved prompt libraries, reusable analysis templates that a teammate could run.

- AI over large unstructured datasets: feeding thousands of support tickets, Discord messages and reviews into a pipeline that returns a defensible, quantified priority list — and knowing how to check that it didn't hallucinate the numbers.

- Agentic and tool-using AI: Claude Code, Cowork, MCP connectors, browser agents, or equivalent. Comfortable letting an agent run a multi-step task and reviewing its work.

- API-level literacy. You can call a model API directly, batch a job, chain calls, and estimate what a workflow costs before you run it. Light scripting (Python or JS) to glue things together.

- AI-assisted data work: natural-language querying over product data, generating SQL and validating it, building dashboards without waiting on an engineer.

- AI for spec and QA production: drafting PRDs, acceptance criteria, edge-case enumeration, test matrices, and user-facing copy — then editing hard, because the first draft is never the shipped one.

- Judgment about where AI fails. Hallucination, false confidence, stale knowledge, silent arithmetic errors. You verify anything that touches money, compliance language, or a user-facing promise. AI output that reaches a customer is your responsibility, not the model's.

- Discretion. You understand what customer data, KYC material, and internal financials may and may not be pasted into a third-party tool.

In the interview, you will screen-share your actual setup and run a real task in front of us: take a raw dump of feedback and produce a ranked, evidence-backed priority list, live. We are evaluating your workflow, not your vocabulary.

Who you are:

- 3+ years in product, ideally consumer fintech, trading, or crypto. Exchange experience is a strong plus.

- You've traded. You understand orderbooks, spreads, slippage, fee tiers, custody, and on-chain settlement well enough to argue with a trader and be right.

- SQL or equivalent; comfortable in analytics tools without waiting on an engineer.

- Obsessive about detail and unbothered about saying "this isn't ready."

- Written English strong enough to write specs and user-facing copy.

Nice to have: experience with a licensed/regulated platform, market-maker or API-trader relationships, design sense, Russian/Ukrainian or Spanish.

How we work:

Small team, no bureaucracy, decisions in hours, not weeks. You report directly to the board and work day-to-day alongside the engineers. AI tooling and API budget are provided — we expect them to be used.

Compensation is $2,500–$4,500/month during the 3-month remote test period, increasing to $6,000/month after relocating to Madrid.

The Role

We’re looking for a Strong Junior/Middle Full Stack Angular/.NET Developer who is eager to learn, grow, and contribute to real-world projects from day one. This is a great opportunity if you have a solid foundation in programming and want to put your skills into practice while building modern, user-friendly applications.

In this role, you’ll work closely with experienced developers, gaining hands-on experience in Angular, .NET Core, and MS SQL. You’ll be part of a supportive team that values collaboration, knowledge sharing, and continuous improvement.

📋Key Responsibilities

• Assist in identifying and fixing bugs and issues in the codebase
• Contribute to front-end development using Angular by designing and implementing user-friendly interfaces
• Support database maintenance tasks, including writing SQL queries and helping optimize performance
• Participate in code reviews with more experienced developers to learn best practices and coding standards
• Help refactor existing code to improve efficiency, readability, and maintainability
• Collaborate closely with senior developers, gaining hands-on experience and guidance in both front-end and back-end development

📝Requirements

• Completed or ongoing Bachelor’s degree in Computer Science or a related field
• Solid understanding of software development principles and best practices
• Demonstrated coding skills with pet projects available on GitHub (or similar platform), preferably in C#
• Hands-on (non-commercial) experience with:
  • .NET Core (EF Core, MVC, Onion Architecture, or CQRS)
  • SQL databases
• English proficiency at B2+ level
• Availability for a full-time schedule: 12:00 – 20:30 (Mon–Fri, including a 30-minute lunch break)
• Willingness to participate in regular team meetings during working hours
• Strong analytical and problem-solving skills
• Excellent communication and teamwork abilities
• Experience with Angular (or any other JS) framework

What We Offer

📈  Growth opportunities — clear paths for professional development and career advancement

🔋 Supportive culture — a friendly, collaborative environment where your ideas matter

🖥️  Modern projects — work with cutting-edge technologies on meaningful, real-world applications

💡 Talented team — join a motivated group of professionals who are always ready to share knowledge and help you grow

Join our team at SoftPlus Ukraine and contribute to the success of our innovative projects.

Apply now!

We are looking for a Python Developer (microservices) to join the Dataforest team. If you are looking for a friendly team, a healthy working environment, and a flexible schedule ‒ you have found the right place to send your CV.

  You'll be a great fit if you have:

• 2+ years of experience with Python;
• Experience with SQL and query optimisation;
• Experience with integration of 3rd party services;
• Strong understanding of client-server model, REST API approach, authorization/authentication principles;
• Strong understanding of asynchronous/multithread/multiprocess programming;

• Upper- Intermediate level of English.

   

    Would be a plus:

• Experience with Redis and Lua scripts;
• Experience with AWS services (Lambda, Step Functions, API Gateway, SQS, Fargate);
• Experience with Django REST API;
• Experience with payment systems integrations (Stripe, Shopify, Recurly, PayPal, Braintree, etc.);

• Experience with Celery and async task management.

   

  What you'll do:

• Developing server applications (APIs). Within these applications, developers need to describe core logic and integrations with third-party services.
• Writing scripts similar to DAGs in Airflow or AWS Lambdas. These scripts should process information using Pandas or implement some simple business logic.
• Developing applications with a distributed architecture (microservices).

• Developing client applications for data retrieval. These data will later be processed by developers from the DS and DE departments.

   

  We ensure your growth with:

• Competitive salary fixed in USD
• Flexible working schedule and fully remote work format
• Paid vacation days and sick leave days 
• Personal and professional development opportunities
• Participation in building innovative projects from scratch using modern technologies
• Team-building activities and corporate events
• English classes and educational events.