Jobs at Djinni

Our client is a lean, founder-led venture-building studio and family office running a portfolio of businesses across events, hospitality, luxury consumer, media, and investments. The company is building AI-first operating systems so a small team can run multiple businesses at once — removing repetitive admin, improving decision-making, and keeping headcount deliberately low. 

The studio needs one hands-on technical owner for AI and automation across the whole portfolio. Some automations already exist; the mandate is to take them over, rebuild what needs rebuilding, and own a clean, maintainable stack end to end. There is no technical manager above you — you work directly with the founder and the commercial lead, and the architecture decisions are yours.

What you'll work on

AI development & automation — 80%

• AI research agents: vendors, sponsors, guests, brands, venues, market opportunities
• Screening and scoring systems that combine scraped data with hard metrics and business criteria
• Inbox triage, summarisation, and routing; multi-inbox monitoring with decision-ready daily summaries
• Systems that turn unstructured founder inputs (screenshots, voice notes, links) into recommendations and routed tasks
• CRM and outreach workflows, dashboards and trackers, calendar and recurring-task automations

No one has built all of this — what matters is a track record with comparable use cases and the ability to transfer it to new problem types. Expect a fast cadence: first automation live within 30 days, several production workflows by 60–90 days.

Technical generalist — 20% (~1 day/week)

• Keep the operational stack running: Notion (incl. Notion AI), Google Workspace, HubSpot, access management, integrations, troubleshooting, data cleanup

Requirements

• Shipped production automations or AI-powered tools in a real business context — not side projects, demos, or hackathon builds
• Practical fluency with LLMs, APIs, and at least one automation platform (Make, n8n, Zapier, or similar)
• Python or equivalent scripting ability — many builds are achievable low-code, but candidates who can write and debug their own scripts have a higher ceiling
• Experience with vector search, RAG, agent frameworks, function calling, and workflow orchestration
• Ability to design workflows with human approval points, exception handling, logging, and error recovery — systems that fail gracefully and visibly, not silently
• Strong documentation habits — your systems must be maintainable and understandable by non-technical colleagues
• Comfort with ambiguity, shifting priorities, and working independently without full specs or a technical escalation path
• English sufficient for daily written and spoken communication (B2+)

Nice to have

• Experience building internal tools for executives, family offices, venture studios, agencies, or lean startups
• HubSpot or comparable CRM experience

Location requirements

• Fully remote, but your working day must overlap with UK time (GMT/BST) for 6–8 hours daily
• An additional ~2-hour overlap with Malaysia time (GMT+8) is a plus

What to expect

• Greenfield mandate: build and own the AI stack; genuine autonomy, no stakeholder committees
• Cross-portfolio ownership — your systems run real businesses across events, media, luxury, and investments
• Direct access to the founder from day one; radically lean process: a call → a decision → execution
• An expanding role: new ventures continuously add projects, with the prospect of support hires under you as the stack grows

Interview process

1. Recruiter screen (incl. a short portfolio example of an automation you built)
2. Interview with the client
3. Practical assessment
4. Final interview with the founder

Terms

• Remote-first contractor engagement; own equipment required
• 28 days PTO per year, taken freely — covers vacation, sick leave, and holidays in a single policy
• Business travel expenses covered when required

Our client is a B2B SaaS platform operating at the intersection of data intelligence and LinkedIn advertising. The product is in active growth — the engineering team ships continuously, and feature velocity is high. The platform combines LinkedIn Ads optimization, website visitor identification, and revenue attribution in one decision layer — so marketers can see which companies engage with their ads, connect that activity to CRM data, and prove what actually drives deals.

The team is small and senior: a product manager, 3 backend engineers (PHP/Laravel), 1 frontend engineer (React), and 3 data engineers (Python, N8N), on AWS-managed infrastructure with Postgres and Clickhouse. The team works in sprints with sprint planning and retrospectives.

Why this role exists

Two gaps are holding the team back. First, the CTO is absorbing too much coordination overhead: breaking down requirements, running syncs, unblocking developers. Second, testing coverage hasn't kept pace with shipping speed — bugs that automated tests would have caught are slipping through to production.

This role is designed to close both gaps at once. The PM side frees up the CTO by owning task creation and team coordination. The QA side builds an automated testing layer from scratch, with AI tooling at its core. Neither half of this role is a full-time job on its own — together, they're exactly one.

What you'll own

Project management — primary focus

• Receive requirements from the CTO and convert them into detailed, developer-ready tasks and epics in ClickUp, following the company's established task framework
• Run sprint planning and retrospectives, keep the team unblocked, and handle routine coordination without escalating to the CTO
• Own documentation: maintain clear, up-to-date technical specs and requirement breakdowns
• Be the connective tissue between product intent and engineering execution — understand the business logic behind what's being built, not just the task list
• Track progress, flag risks early, and make sure work that gets decided actually gets finished

QA automation — secondary focus

• Build an automated QA framework from scratch — end-to-end, regression, and API testing; choose your own tools and programming language
• Triage and classify bugs by root cause (frontend vs. backend) before routing to developers
• Write test plans and document edge cases; build coverage that actually prevents regressions, not just documents them

Requirements

What we expect from an ideal candidate

• 3–5 years of total experience with at least 1.5 years in a project or product management role and at least 1.5 years in QA engineering
• At least 2 years of that experience must be at a product company
• Proven ability to break down product requirements into clear, structured technical tasks for a development team
• Experience running sprint planning and retrospectives, or working closely within that process
• Strong self-management and prioritization — able to hold multiple threads across PM and QA without dropping things or waiting to be told what's next
• Experience in QA engineering with a demonstrated shift toward automation — manual-only QA is not a fit for this role
• Solid understanding of regression testing and functional testing concepts
• Working knowledge of SQL sufficient to validate data at the database level (Postgres, Clickhouse a plus)
• Ability to distinguish frontend bugs from backend bugs quickly and describe them precisely
• You should be actively using AI tools to automate, build, and accelerate your own workflow
• English B1 or above — sufficient for written communication and technical documentation

Nice to have

• B2B SaaS background in a QA, PM, or hybrid role
• Prior experience with a marketing technology product (attribution, analytics, ad tech, CRM, or similar)
• Strong English (C1) — a plus for communication with native-speaking stakeholders

What to expect from the company

• Investment in your growth — the company is willing to develop this person into a stronger PM and a more capable user of AI tooling, not just hire for what exists today
• An established process framework to work within (ClickUp, sprints) that you can improve over time
• Direct access to decision-makers in a flat, fast-moving structure
• Freedom to choose your own QA tooling and programming language — no mandated stack on the testing side

Interview process

• Recruiter screen
• Interview with the CTO
• Test task
• Final round

Terms

• Location: Ukraine, remote
• Contract: FOP (Ukraine)
• Schedule: Flexible, ~10.00 - 19.00
• PTO: 24 calendar days / year, Ukrainian public holidays observed

Requirements 

• Expert-level proficiency in TypeScript. 

• Extensive professional experience with Next.js (App Router is a must). • Strong experience building backends with Node.js and PostgreSQL. 

• Hands-on experience with an ORM, preferably Drizzle ORM. 

• Mastery of Tailwind CSS and experience with headless UI libraries (Radix UI preferred).
• English B2

We are looking for a long-term collaborator and are excited to see your application
Please apply with a small video introduction (link to Loom or google drive/youtube) in English. Tell about your experience. 
Applications without video will be not reviewed.
 

Native Media Buyer (Taboola / Outbrain)

We're looking for a Native Media Buyer with hands-on experience in Taboola, Outbrain, and other native platforms — someone who knows how to scale profitable campaigns and work with performance-driven traffic. This role is for a true operator: someone who understands funnels, works with data, and consistently delivers results.

Key Responsibilities

▸ Launch, optimize, and scale native advertising campaigns 

▸ Manage budgets of $50K+ monthly with a focus on profitability 

▸ Analyze performance data and identify growth opportunities 

▸ Structure campaigns for scalability and efficiency 

▸ Continuously test creatives, angles, and funnels 

▸ Collaborate with internal teams to drive performance growth

Requirements

✔ Hands-on experience with native traffic: Taboola, Outbrain, MSN, Mediago, etc. 

✔ Experience managing $50K+ monthly ad spend (current or recent) ✔ Proven ability to scale campaigns profitably 

✔ Experience in Crypto or CFD verticals 

✔ Strong analytical mindset and data-driven approach 

✔ Advanced English — Tier-1 / Tier-2 markets 

✔ Experience with cloaking systems — a plus

Compensation

💰 Competitive base salary + performance-based bonuses 

🚀 High earning potential — top performers earn $15K–$50K/month

How to Apply

Be ready to share:

📊 Real campaign performance data 

💵 Budget levels and scaling strategies 

⚙️ Optimization approach and decision-making logic

👉 We prioritize candidates who can demonstrate real, measurable results at scale.

🚀 We're Hiring: Product Manager — AI Construction OS

We're building an AI-powered construction platform that connects LiDAR scans, drone scans, 360° site capture, BIM/plans, schedules, Gantt charts, workforce data, task management, billing, and productivity analytics into one working system.

The goal: turn real site data into tasks, progress tracking, billing, and measurable productivity improvement.

This is not a standard SaaS product role. We need someone who understands AI, construction workflows, reality capture, data, field operations, and product execution — and can connect all of them.

What You'll Own:
→ Define and own the product roadmap
→ Build detailed PRDs, user stories, workflows, and acceptance criteria
→ Translate construction-site reality into clear product requirements
→ Work closely with engineering, AI, computer vision, data, and field teams
→ Design AI workflows for scan analysis, progress tracking, task generation, anomaly detection, and productivity insights
→ Understand and work with LiDAR, point clouds, drones, BIM/IFC, 360° capture, and construction schedules
→ Lead MVP execution from concept to field deployment
→ Research and benchmark global products — OpenSpace, Buildots, Doxel, Procore, Autodesk Construction Cloud, DroneDeploy, PlanRadar
→ Build product flows for managers, site teams, subcontractors, finance teams, and executives
→ Connect progress tracking to billing, workforce productivity, and ROI

Must-Haves:
✅ 4+ years of product management experience
✅ Strong understanding of AI products, LLMs, computer vision, automation, and data pipelines
✅ Experience with B2B SaaS, construction tech, proptech, robotics, drones, BIM, or industrial software
✅ Ability to work across multiple domains — product, AI, engineering, construction operations, finance, and UX
✅ Strong analytical thinking
✅ Excellent English
✅ Ability to write sharp, detailed product specs
✅ Hands-on mindset — willing to go to construction sites, talk to workers, understand the field, and turn chaos into product logic

Big Advantage:
⭐ Experience with AI agents, computer vision, 3D data, point clouds, LiDAR, drone mapping, BIM/IFC, or digital twins
⭐ Background in construction, infrastructure, real estate development, or field operations
⭐ Experience from OpenSpace, Buildots, Doxel, Autodesk, Procore, DroneDeploy, PlanRadar, Matterport, or similar companies
⭐ Technical background or ability to work closely with engineers without needing everything explained slowly

Who We Need:

A versatile product leader who can think like a product manager, an AI architect, a construction operator, a data analyst, a field manager, and a business owner — all at once.

Someone who can look at a LiDAR scan, a Gantt chart, a construction plan, a workforce report, and a billing sheet — and understand how they all connect.

Your First Mission:

Build the MVP — one floor, one trade, one scan, one schedule, one billing report, one productivity improvement case.

📩 DM me or drop your CV in the comments.

#Hiring #ProductManager #AIProduct #ConstructionTech #LiDAR #BIM #DigitalTwin #ComputerVision #PropTech #DroneTech #AIAgents #SaaS #ConstrunctionOS

We are looking for a Brand Marketing Manager who will develop and execute Setapp’s brand strategy, run multi-channel campaigns, and lead a small team. 
Two audiences matter here. First, our customers — macOS/iOS users looking for great apps. Second, our partners — the developers who bring their apps to Setapp. You'll build the brand for both, including activating developer communities. You'll also help keep branding consistent across the wider MacPaw ecosystem.

Setapp is MacPaw’s software marketplace for Mac and iOS users. It provides access to 360+ quality apps and AI models across dozens of categories. It is also a distribution platform that allows developers to monetize their apps.

Please include a portfolio of brand or marketing projects with your CV, describing your role, responsibilities, and impact in each of them. A portfolio is required for your application to move forward to the next stage.

In this role, you will:

• Own Setapp's brand strategy end-to-end — define target audiences, track trends and competitors, and grow brand awareness, perception and reputation
• Turn brand goals into multi-channel campaigns (PR, influencers, SMM, events) and manage their performance
• Build bottom-up forecasts and budgets, and own spend against brand goals
• Set up reporting that shows campaign impact, and adapt strategy based on it
• Deliver ongoing analytics to the teams that need it
• Lead internal specialists and external agencies/freelancers — prioritise, assign and sign off on their work
• Run customer-behavior research to surface insights that sharpen the brand strategy

Skills you’ll need to bring:

• Goal setting and strategic planning: proven ability to translate high-level business and marketing goals into actionable brand strategies with measurable goals
• Multi-channel campaign management: experience in designing, launching, and evaluating complex campaigns that use the powers PR, social media, influencers, and events simultaneously. Cross-functional collaboration experience is a must
• Budget management. Experience in developing bottom-up forecasts, managing strict budgets, and assessing spend efficiency on a monthly and quarterly basis
• Data-driven decision making: high proficiency in brand analytics, understanding both behavioral and perceptual metrics. The ability not just to analyze data but to derive insights to guide brand strategies
• Team management: proven experience in managing and motivating teams of diverse professionals, setting clear objectives, conducting performance reviews, and fostering professional growth
• Partner relations improvement: experience in building and maintaining professional communities (for example, developers), with a proven track record of community activation management
• Solid understanding of evidence-based marketing and brand growth strategies, familiarity with CEP, JTBD, and mental and physical availability approaches

As a plus:

• Strong negotiation skills for handling contracts with freelancers and agencies, ensuring quality delivery and cost control. Agency experience is a plus
• Cases of vendor acquisition for the marketplace, with both long and short-term effects
• Experience handling creative brand activations (events, short-term campaigns, PR activations) in the English-speaking markets
• Experience in managing rebrandings, brand partnerships, or brand ambassadorships with measurable results for the brand
• Market research proficiency: ability to order, interpret, and apply diverse market research (such as customer behavior and brand health measurement) to inform the brand roadmap
• Hands-on experience with analytical tools (e.g., Looker Studio, Tableau, Google Analytics 4) and project management software (e.g., Asana, Jira) used by your internal teams

What We Offer:

• We are a Ukrainian company, and we stand with Ukraine against the russian aggression
  We maintain workplaces for the mobilized Macpawians and provide financial support to colleagues or their families affected by the war. Here, you can also read about the MacPaw Foundation, which intends to help save the lives of Ukrainian defenders and provide relief to as many civilians as possible.
• We are committed to our veterans
  Our Veteran Career and Empowerment Program is designed to ensure our veterans and active military personnel receive the recognition, support, and opportunities they deserve.
• Hybrid work model
  Whether to work remotely or at the hub is entirely up to you. If you decide to mix it, our Kyiv office, which works as a coworking space, is open around the clock. The office is supplied with UPS and Starlink for an uninterrupted work process.
• Your health always comes first
  We guarantee medical insurance starting on your first working month. For those abroad, you can receive a yearly Medical insurance allowance as compensation for managing your medical expenses.
• Flexible working hours
  You can choose a schedule that is comfortable for you. No one here tracks your clock in/out because MacPaw is built on trust and cooperation.
• Space to grow both professionally and personally
  Education opportunities to grow both hard and soft skills, annual development reviews, and internal community.
• Teams we are proud of
  We build honest, transparent, and reliable relationships within teams. Every Macpawian can improve processes and implement their ideas. We encourage open and constructive feedback and provide training for Macpawians on giving and receiving feedback.
• Office designed for people (and pets)
  Our office has it all: a spacious workplace with enough room for sitting up, lying down, and running around; a gym for recreation; cozy kitchens; a sleeping/meditation room; and a terrace with a view where we throw summer parties. Also, we have two cats living in the office, and you are welcome to bring your pets to the office (we have separate floors for cats and dogs).
• Time-off policy that covers life’s needs
  Convenient personal time-off policy to help you take care of essential matters in your personal life, and parental leaves. On top of all that, sabbaticals are open after 5 years of being with MacPaw.
• Join social initiatives with MacPawCares
  MacPaw participates in numerous humanitarian aid and charity projects across many fields, and you are welcome to jump in to make the world a better place.
• We’re an equal-opportunity employer. Here is a safe place for applicants of all backgrounds
  We are hiring talented humans. Meaning with all our variety of backgrounds and identities, including service members and veterans, women, members of the LGBTQIA+ community, individuals with disabilities, and other often underrepresented groups. MacPaw does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
  
  *Some benefits are under development, and new adjustments are possible.

Team Summary

Our AI QA team provides end-to-end testing solutions of complex AI-driven features, hardware sensors supporting AI functionality, and large-scale cloud and embedded systems. We bring proven experience in both hardware and software product development, with a strong focus on motion detection technologies.
 

We specialize in manual testing across integration, E2E, and acceptance levels, ensuring comprehensive test coverage, continuous product state monitoring, and stable product releases.

The team contributes to the development of AI features and embedded systems.
 

Job Summary

We are looking for a QA Engineer with experience in software testing, preferably with exposure to embedded systems. In this role, you will be responsible for executing manual tests as well as executing our existing automation.
 

Responsibilities and Duties

• Conduct confirmation testing
• Estimate own tasks under mentors'/teammates' supervision
• Execute existing test cases
• Report test results for assigned activities
• Report bugs according to the template

Qualifications and Skills

• 6+ months of experience in manual testing
• Strong knowledge of testing methodologies, test documentation practices, and test design techniques
• Experience with bug tracking systems
• Understanding UNIX/Linux, including CLI navigation and use of regular expressions
• Understanding databases and SQL
• Good written and spoken English
• Ability to work from our office location in Kyiv

Nice to have

• Understanding and hands-on experience with embedded systems testing
• Understanding AWS services
• Understanding CI tools (Jenkins)
• Basic experience with Raspberry Pi
• Basic knowledge in computer vision and machine learning
• Experience in mobile testing
   

We offer multiple benefits that include

• The environment of equal opportunities, transparent and value-based corporate culture and an individual approach to each team member.
• Competitive compensation and perks. Annual performance review.
• Opportunity to receive a Performance Bonus for your individual achievements and a Loyalty Bonus recognizing your dedication to the company.
• Gig-contract.
• 21 paid vacation days per year, paid public holidays according to the Ukrainian legislation.
• Development opportunities like corporate courses, knowledge hubs, and free English classes as well as educational leaves.
• Medical insurance is provided from day one. Sick leaves and medical leaves are available.
• Free meals, fruits, and snacks when working in the office.

You’ll grow and manage part of the ThingsBoard partner ecosystem — hardware vendors and content creators/consultants. The most important part of this role is building long-term relationships with partners. It’s also a technical product, so you’ll learn how partners’ devices connect to the platform — a technical specialist will help you with that. You’ll work closely with the marketing team. This is a good fit if you enjoy building long-term partnerships and want to work with a complex IoT product in an international team.

Requirements:

• You are great at building long-term business relationships. You stay in touch, follow up, and don’t drop people after the first contact.
• Experience in B2B partnerships, sales, or business development.
• Curiosity about the technical side. You don’t need an IoT or engineering background — we’ll teach you how device connectivity works. But you should enjoy figuring out how things work, not avoid it.
• Upper-Intermediate English. You’ll use it every day to talk to partners.

Responsibilities:

• Find and reach out to new partners, and bring them on board (a technical specialist helps you with device integration)
• Build and keep strong long-term relationships with current partners
• Work with the marketing team on co-marketing activities
• Grow the referral network — find new affiliates and reach out to them
• Set up and improve how we work with affiliates

What We Offer:

• Competitive and transparent compensation based on your experience and impact.
• Meaningful product challenges and clear ownership.
• Supportive team environment with clear goals and feedback.
• Career growth with regular performance reviews.
• Medical insurance or compensation program.
• 17 vacation days and 10 sick leaves.
• Corporate English classes.
• Comfortable office in Kyiv, Podil, with a flexible schedule.
• Work on a global open-source product with 21k+ GitHub stars.

By submitting your CV, you consent to ThingsBoard Inc collecting and processing your personal data for recruitment purposes in accordance with our Privacy Policy and ISO 27001 requirements. Your data will be retained for 12 months from the date of submission and securely deleted thereafter unless you are hired. You may withdraw consent at any time by contacting us.

We are building a high-performance, PCI-DSS compliant payment gateway that processes millions of transactions daily across cards, open banking, alternative payment methods, and crypto on-ramps. You will design, implement, and own critical components of the payment orchestration, authorization, settlement, and reconciliation layers written primarily in Go.

Key Responsibilities

• Design and develop highly concurrent, low-latency microservices in Go for payment authorization, routing, risk checks, and settlement
• Implement and maintain payment scheme integrations (Visa, Mastercard, local schemes, APM providers, open banking)
• Build resilient transaction processing pipelines with idempotency, retries, circuit breakers, and distributed tracing
• Work on ledger systems, balance management, and real-time reconciliation
• Optimize for throughput, latency, and cost under high load
• Collaborate with compliance, security, and product teams to meet regulatory requirements (PCI-DSS, PSD2, GDPR, etc.)
• Participate in architecture decisions, code reviews, and on-call rotation for payment-critical services
• Contribute to observability (metrics, structured logging, distributed tracing) and operational excellence

Required Skills & Experience

• Strong production experience with Go (concurrency patterns, channels, context, error handling, testing)
• Hands-on experience building or working on payment gateways, payment processors, or high-volume transaction systems
• Solid understanding of payment flows: authorization, capture, void, refund, chargeback, 3DS, tokenization
• Experience with relational databases (PostgreSQL preferred) and at least one message broker / event system (Kafka, NATS, RabbitMQ, etc.)
• Knowledge of distributed systems concepts: eventual consistency, idempotency, exactly-once semantics, saga patterns
• Familiarity with containerization (Docker) and orchestration (Kubernetes)
• Experience with observability tools (Prometheus, Grafana, OpenTelemetry, Jaeger)

Nice to Have

• Experience with PCI-DSS environments and secure coding practices for payment data
• Knowledge of ISO 8583, card schemes, or open banking APIs (TrueLayer, Plaid, etc.)
• Experience with Go frameworks/libraries commonly used in fintech (e.g., gRPC, chi/fiber/echo, sqlc/pgx, go-kit)
• Background in ledger or double-entry accounting systems
• Experience with multi-currency, FX, or cross-border payments
• Contributions to open-source Go projects or payment-related libraries

What We Offer

• Competitive salary + equity 
• Fully remote-friendly culture with flexible hours
• Modern tech stack and high ownership over critical payment infrastructure
• Opportunity to work on systems that move real money at scale
• Strong engineering culture focused on reliability, security, and clean code

About the Project:
Join the team of one of the world's largest independent advertising technology companies.

The team develops and maintains real-time, high-load distributed systems that process hundreds of billions of requests while delivering responses in milliseconds. 
The primary focus of this role is building and enhancing the automated testing framework and test infrastructure that ensures the reliability, scalability, and quality of these mission-critical services.

Who We're Looking For:

A Middle Java Developer with solid Java Core expertise who has experience building backend applications and wants to contribute to automation infrastructure, testing frameworks, and engineering quality for large-scale distributed systems.

Working Hours:

• 12:00 PM – 8:00 PM EEST (shifted schedule)
  
  Key Responsibilities
• Design and develop automation testing infrastructure for large-scale distributed systems
• Build and maintain scalable, reusable test frameworks
• Improve build pipelines and Continuous Integration / Continuous Deployment processes
• Design testing strategies for complex microservices and highly integrated systems
• Investigate production and testing issues, perform root cause analysis, and improve system reliability
• Research and prototype new testing technologies and automation approaches
• Collaborate closely with developers, SDETs, product managers, and project teams to deliver high-quality software
• Contribute to engineering best practices and continuous quality improvements
  
  Must-Have Skills
• 2+ years of commercial experience with server-side Java
• Strong Java Core knowledge:
  • Java 8+
  • Multithreading
  • Concurrency
  • Collections
  • Exceptions
• Experience with relational databases (MySQL, PostgreSQL)
• Experience writing native SQL and using Hibernate (or similar ORM)
• Experience with service-oriented architecture and microservices
• Experience with automated testing:
  • Unit Testing
  • Integration Testing
  • Functional Testing
  • TDD
  • Mocking frameworks
• Linux experience
• Experience configuring or working with CI/CD pipelines (GitHub Actions, Jenkins)
• Strong analytical and problem-solving skills
• Ability to work independently in an environment with evolving requirements
  
  Nice to Have
• Experience with the reactive programming paradigm:
  • Project Reactor
  • Spring WebFlux
  • Vert.x
• Experience with test reporting tools
   

Readdle is a pioneering force in the personal productivity space on Apple devices, having shaped the landscape since 2007. Our mission is to empower individuals and teams with innovative technology, enhancing their efficiency and creativity. We are dedicated to crafting exceptional mobile and desktop experiences for those who aspire to achieve more.
 

Fluix is Readdle's B2B SaaS platform for field teams across industries such as construction, energy, and aviation. As we enter a new stage of growth, we're looking for a Senior SEO Manager to build and own how Fluix wins in AI-powered and organic search.

What will you do:

• Own SEO and AEO at Fluix end-to-end: set the strategy, pick the targets, and be the person who gets Fluix showing up in AI Overviews, answers, and ranking for the searches our buyers actually make.
• Build the product landing-page infrastructure: Create the product, blog, and article pages that unlock both organic rankings and AI citations.
• Drive a net-new link acquisition program: Grow Fluix's referring-domain base toward 3,000+ through editorial outreach, link reclamation, and content-led earning — targeting 200+ new domains in Year 1.
• Own technical SEO and ongoing site health: Resolve the priority backlog (sitemaps, indexing, redirects) and own crawl, indexing, and schema as the site scales.
• Define and execute the content strategy for organic and AI visibility: Decide which content and templates we create, brief the writers, and make sure it targets the topics worth winning.
• Show the impact. Turn rankings and traffic into real business results — demo requests and signups — and keep an eye on how we stack up against competitors like SafetyCulture, Fieldwire, and TrueContext.

About you:

• 3–5 years of B2B SaaS SEO, with a track record of ranking competitive commercial keywords
• A self-starter who builds strategy from scratch and owns it end-to-end
• Hands-on familiarity with AEO / AI Overview optimization
• Experience with building and optimizing product/category landing pages — you understand page-intent architecture and how to structure pages for both organic ranking and AI citation.
• You're fluent with AI tools and use them daily to optimize your own workflows 
• Active link acquisition experience: outreach, relationship-based editorial links, or content-led earning
• Strong technical SEO — you can diagnose and fix crawl, indexing, redirect, and schema issues yourself, using tools like Screaming Frog and GSC.
• Strong analytics — you turn Ahrefs and GSC data into a clear, prioritized action plan.
• A clear, concise communicator — you can write a tight brief for a writer and a tight summary for the leadership team.
• Upper-Intermediate English or higher.

Will be a plus:

• Experience marketing to field-heavy or regulated industries — construction, energy, safety, or similar.
• Experience in briefing or managing a content team.
• Comfortably publishing pages yourself in WordPress (or a similar CMS).
• Familiarity with structured data/schema markup.

What you will get at Readdle:

• Customer-centric culture. We put our users at the heart of everything we do. Every team member has the opportunity to engage directly with customers, gaining insights that shape meaningful, delightful experiences for millions worldwide.
• Relentless growth. We’re committed to mastery in our craft. We take ownership of our work, decisions, and outcomes, and we see feedback as a catalyst for growth. Every challenge is an opportunity to learn, evolve, and raise the bar.
• Exceptional people, exceptional team. Our greatest strength is our people. We care deeply about each other, work transparently, and celebrate collective success. Together, we build an environment where everyone can do their best work and grow beyond their potential.
• Real impact. We design products that truly matter. Our focus is on delivering tangible value, simplifying complexity, pushing boundaries, and continuously improving how we build and deliver solutions to our users.
• Culture of innovation. We embrace curiosity and creativity in everything we do. Fresh ideas are not just welcomed, they’re expected, celebrated, and turned into real innovations that shape the future of our products and company.

Project Description:

We are building a next generation cross asset data fabric, which will bring together disparate data sources for the global bank. It will enable industry leading analytics, reporting and data science solutions. There are multiple streams within application covering Reporting, Data and Analytics.

Responsibilities:

This role is for a Senior Business Intelligence (BI) Developer to create reporting framework and set up the ground work for creation of Tableau reporting via Dashboards and scheduled reporting. The ideal candidate will help to ensure highest level of quality of a product being developed while working very closely with different stakeholders spread across globally
Candidate will work independently and is highly self-motivated. Applies skills and knowledge of the business to test creative solutions to meet client and business needs.

Mandatory Skills Description:

1. Strong SQL and Data Analyst experience.
2. Experience in Tableau
3. Proven experience as BI developer
4. Background in data warehouse design (e.g. dimensional modeling) and data mining
5. Understanding of database management systems, online analytical processing (OLAP) and ETL (Extract, transform, load) framework
6. Proven abilities to take initiative and be innovative
7. Analytical mind with a problem-solving aptitude.
8. Team player, good on communication with Business Analysts or Traders, Highly Motivated, quick learner, general interest in Equity/Equity Derivatives Trading Business. Experience in Risk Department (Risk area).
9. Exposure to Equities business
10. Must have worked in Agile [min 2+ years]
11. Must have good analytical & logical skills
12. Strong interpersonal, oral and written communication

Nice-to-Have Skills Description:

- Understanding of Big Data concepts and technologies, enabling effective handling and analysis of large datasets.
- Concepts (HDFS,Spark,Hive,Impala)

Languages:

English: B2 Upper Intermediate

About the project

Our client is a product company building an AI-driven trading and investing platform that covers equities, futures, forex and crypto. The team develops systematic strategies, portfolio models, copy-trading products and low-latency execution infrastructure.

What you'll do

• Research, build and maintain systematic trading strategies
• Develop backtesting, optimization and portfolio-construction frameworks
• Run walk-forward analysis, Monte Carlo simulations and other robustness checks
• Work with market data across equities, futures, forex and crypto
• Bring ML models into the research and signal-generation pipeline
• Move research into live trading together with the Java execution and platform teams

• Track live strategy performance and improve risk-adjusted returns

   

Requirements

• 5+ years of production Python development
• Strong command of Pandas, Polars, NumPy
• Hands-on experience with at least one backtesting framework — VectorBT, Backtrader or QuantConnect LEAN
• Solid statistics and quantitative finance background
• Practical experience with portfolio optimization and risk management
• Trading experience in at least one asset class: futures, forex, equities or crypto
• PostgreSQL / TimescaleDB, cloud environments

• Git, Docker, CI/CD

   

Nice to have

• ML stack: XGBoost, LightGBM, PyTorch
• FIX protocol
• Broker/venue integrations: Interactive Brokers, Alpaca, LMAX
• Java or C++ exposure

• Background in institutional trading systems

   

What success looks like in the first year

• A pipeline producing 100+ validated strategy candidates
• Production-grade research infrastructure the whole team relies on

• Measurably better portfolio Sharpe and lower drawdowns

   

We offer

• Competitive salary 
• Fully remote work with a distributed international team
• A product role on a global AI trading platform, not outsourcing ticket work

Cloudfresh ⛅️ is a Global Google Cloud Premier Partner, Zendesk Premier Partner, Asana Solutions Partner, GitLab Select Partner, Hubspot Platinum Partner, Okta Activate Partner, and Microsoft Partner.

Since 2017, we’ve been specializing in the implementation, migration, integration, audit, administration, support, and training for top-tier cloud solutions. Our products focus on cutting-edge cloud computing, advanced location and mapping, seamless collaboration from anywhere, unparalleled customer service, and innovative DevSecOps.

We're looking for an AI Architect to become our lead technical expert for client AI solutions and to help stand up our AI Competence Centre and internal AI Lab.

This is a client-facing technical role first, with a build-and-lead dimension. Expect roughly 60% solution architecture and pre-sales engineering for enterprise clients, and 40% establishing the AI Lab and mentoring engineers. You'll technically lead and raise the bar for the team - this is a technical leadership role, not a people-management line.
Reports to: Head of AI.

Requirements

• Experience & seniority. 5+ years in software, data, or ML engineering, including 3+ years delivering ML/AI in production and 2+ years in a client-facing architect or technical lead capacity.
• Cloud & AI infrastructure. Production-level experience on Google Cloud Platform, especially the Vertex AI suite, plus integrating third-party model providers such as Anthropic.
• GenAI engineering. Strong hands-on knowledge of RAG, agentic workflows, orchestration frameworks (LangChain, LlamaIndex), vector databases, and prompt/context engineering.
• Production & MLOps. Hands-on with the ML lifecycle, CI/CD for models, automated deployment, and cloud cost management - including right-sizing models (lighter vs. heavier) to control spend.
• Evaluation, guardrails & observability. Practical experience building LLM evaluations, guardrails, and monitoring for accuracy, safety, latency, and cost in production.
• AI governance & security. Familiarity with data governance, model risk, and EU regulation (EU AI Act, GDPR) as it applies to enterprise AI — we're primarily EU-based.
• Pre-sales & client experience. Proven experience presenting to enterprise clients, scoping technical projects, and translating complex AI concepts into clear business value.
• Technical leadership. Experience guiding engineers, reviewing architecture and code, and raising team capability.
• Languages. Native Ukrainian — required, as you'll run Ukrainian-language pre-sales — and strong English (B2+/C1 minimum).

• Mindset & agility. An intrapreneurial drive to build an AI Lab from scratch inside an established business, plus the agility to move smoothly between client pre-sales and deep technical architecture.

   

Responsibilities

• Solution architecture. Design and own end-to-end AI systems for strategic enterprise clients - reference architectures, data and retrieval pipelines, agentic layers, and integration with existing enterprise systems - with a clear path from prototype to scalable, secure, observable production.
• Pre-sales & consulting. Partner with sales to qualify and win AI opportunities: run technical discovery, scope solutions, size effort and cost, and translate AI into business value, ROI, and risk for C-level stakeholders.
• Technical leadership & mentorship. Set architecture and engineering standards, run design and code reviews, and level up engineers across the AI practice.
• AI Lab & R&D. Stand up and run the internal AI Lab - rapid client prototypes and cost-effective internal AI tooling - with a clear bar for what graduates into production.
• Partner collaboration. Work with our core AI partners (Google Cloud / Vertex AI, Anthropic) to build joint solutions, access early capabilities, and shape our technical roadmap.
• Governance, security & cost. Build guardrails, evaluation, and observability into every solution; keep architectures compliant (EU AI Act, GDPR) and cost-aware through right-sized model selection.

Would be a plus

• Google Cloud Professional Machine Learning Engineer and/or Professional Cloud Architect certification.
• Hands-on enablement or certification with Anthropic and Vertex AI generative-AI stacks.
• Direct experience mapping solutions to the EU AI Act risk framework.
• Fine-tuning, distillation, or model-optimization experience.
• Production experience with voice/multimodal AI (e.g., ElevenLabs) or AI-assisted engineering tooling (e.g., Cursor).
• Contributions to the open-source GenAI ecosystem.

Work conditions

• Flexible Work Format: Work remotely, allowing you to balance your professional and personal life efficiently.
• Training with Leading Cloud Products: Access in-depth training on cutting-edge cloud and AI solutions, enhancing your expertise and equipping you with the tools to succeed in an ever-evolving industry.
• International Collaboration: Work alongside A-players and seasoned professionals in the cloud industry.
• Global Exposure: Expand your expertise by engaging with international markets across the EMEA and CEE regions.
• Vibrant Team Environment: Be part of an innovative, dynamic team that fosters both personal and professional growth, creating opportunities for you to advance in your career.
  
  When applying to this position, you consent to the processing of your personal data by CLOUDFRESH for the purposes necessary to conduct the recruitment process, in accordance with Regulation (EU) 2016/679 of the European Parliament and of the Council of April 27, 2016 (GDPR).
  Additionally, you agree that CLOUDFRESH may process your personal data for future recruitment processes. You can withdraw this consent at any time.

We are looking for a proactive Lead Product Analyst to join Dripify (🔗 dripify.com) - a B2B SaaS platform that helps sales, recruitment, marketing teams and founders automate and scale LinkedIn outreach.

Our product enables businesses to generate leads, build meaningful professional relationships, and create predictable pipeline through smart prospecting workflows and automation.

In this role you will build the analytics function from zero, owning everything from event taxonomy and tracking plan to the warehouse architecture and the Tableau dashboards the product team checks every morning.

You will be a true partner to the product team: co-author of product decisions, not a ticket-executor. You will shape hypotheses, run experiments, find the Aha Moments for different user segments, and ensure that every roadmap decision is grounded in data.

Requirements:

• 5+ years as a product / data analyst, including 3+ years in B2B SaaS
• Expert-level Amplitude, including hands-on implementation from scratch (event taxonomy, tracking plan, QA), not just using a pre-configured instance
• Expert-level Tableau, complex dashboards, LOD expressions, performance optimization, dashboard design for non-technical stakeholders
• Expert SQL, complex queries, window functions, data modeling for analytics use cases
• Proven experience building product analytics from zero: tracking plan, event taxonomy, naming conventions, data architecture
• Deep understanding of SaaS / PLG metrics: MRR, ARR, NRR, GRR, cohort retention, LTV, CAC, payback period, activation rate, expansion revenue
• Hands-on A/B testing experience: hypothesis design, power calculation, statistical significance, post-launch impact analysis
• Familiarity with the modern data stack: warehouse (BigQuery/Snowflake/Redshift), ELT (Fivetran / Airbyte), transformation layer (dbt)
• English: Upper-Intermediate or higher (written and spoken)

Strongly preferred:

• Experience in a PLG product with a self-serve trial model
• Python for deeper analysis, automation, and statistical work
• Hands-on with FastSpring or similar merchant of record platforms: subscriptions, MRR movements, refunds, failed payments
• Experience selecting and implementing an analytics stack end-to-end
• Familiarity with the sales-tech/outreach/LinkedIn automation space

Responsibilities:

• Design and document event tracking structure, tracking plan, and naming conventions aligned to real business questions
• Implement Amplitude from scratch, spec requirements with engineering, QA events, configure charts and dashboards
• Design and build the data pipeline: product events + backend DB + payment system -> warehouse -> Tableau
• Make foundational decisions on the full analytics stack (warehouse, ELT, transformation layer) with full ownership
• Become a true partner to the product owners, co-author of product decisions, not a ticket-executor
• Participate in discovery: shape hypotheses, design experiments, identify user segments' Aha Moments
• Run end-to-end A/B testing: hypothesis, sample sizing, statistical significance, post-launch impact analysis
• Inform roadmap prioritization with data; push back when the data says otherwise
• Identify the Aha Moment for different segments: sales reps, recruiters, agencies
• North Star metric + supporting KPIs dashboard
• Funnel analytics: registration -> activation -> trial -> paid -> retention -> expansion
• User Base Overview and Account Base Overview with drill-down by status and company
• Activation flow with step-by-step drop-off and time-on-step visualization
• Cohort retention, feature adoption, MRR movement (new/expansion/churn/contraction/reactivation)
• Build dashboards across the full customer lifecycle, from acquisition and activation to retention, expansion, and churn
• Build the analytics workflow: how requests come in, how insights flow back, how they feed into roadmap
• Create and maintain a metrics dictionary, data definitions, and ownership documentation
• Drive a self-serve culture, enable PMs to pull their own data without analyst bottlenecks

Work conditions:

• 100% remote position, providing flexibility and work-life balance.
• Competitive salary reflecting your skills and expertise
• 24 days of paid vacation per year to recharge and relax
• 10 days of paid sick leave
• Educational opportunities
• Compensation budget for medical and hobby/sport expenses.
• Generous budget for birthdays and anniversaries
• Online and offline team events
• A collaborative and innovative work environment with passionate team members
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Hiring process:

✅ Interview with Recruiter — ✅ Test Assignment — ✅ Final Interview with Head of Product and Operations — ✅ Reference Check — ✅ Offer 🎉