Jobs at Djinni

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

Requirements

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

What you will do

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

Responsibilities

  Migration & Translation

  - Analyze existing SQL Server stored procedures that feed SSRS reports — catalog business logic, conditional transformations, and reporting-specific edge cases

  - Translate stored procedure logic into dbt models (staging, intermediate, and mart layers) using idiomatic SQL and dbt best practices

  - Design the Snowflake schema architecture (raw, staging, marts) aligned with dimensional modeling principles

  Ingestion & Pipeline Design

  - Configure and manage Fivetran connectors for MSSQL source replication into Snowflake raw layer

  - Define sync cadence, schema drift handling, and incremental vs. full-load strategies per source table

  - Coordinate with internal engineers managing the existing Go-based ETL to plan cutover and parallel-run periods

  dbt Development & DataOps

  - Build a production-grade dbt project: models, tests, documentation, sources, exposures, and freshness checks

  - Implement data quality testing (schema tests, custom singular tests, row-count reconciliation against legacy outputs)

  - Establish CI/CD for dbt (slim CI on PR, scheduled full builds) integrated with Git workflows

  Validation & QA

  - Design and execute output parity validation between legacy SSRS reports and new Snowflake-based models

  - Build reconciliation dashboards or automated comparison queries to catch drift during parallel-run

  - Document edge cases, assumptions, and any logic gaps surfaced during migration

  Governance & Observability

  - Implement RBAC and row-level security in Snowflake aligned with existing access patterns

  - Establish data lineage visibility via dbt docs and/or integration with observability tooling

  - Define and enforce naming conventions, model layering standards, and code review practices

  Required Qualifications

  - 5+ years working with SQL Server (T-SQL), including complex stored procedures and SSRS

  - 3+ years with Snowflake (schema design, performance tuning, warehouse sizing, access control)

  - 2+ years building production dbt projects (models, tests, macros, packages, CI/CD)

  - Hands-on experience with Fivetran (connector configuration, sync management, schema handling)

  - Deep understanding of dimensional modeling and data mart architecture

  - Strong knowledge of where SQL Server and Snowflake SQL diverge (window functions, date handling, CTEs, semi-structured data, MERGE behavior)

  - Excellent documentation skills — commented models and clear decision records are part of the deliverable

  Preferred Qualifications

  - Experience migrating SSRS reporting logic to a modern BI layer (Looker, Power BI on Snowflake, or Sigma)

  - Familiarity with Go, particularly for understanding existing ETL transformation logic

  - Experience with data observability tools (Monte Carlo, Elementary, or dbt tests at scale)

  - Background in fitness/wellness, SaaS, or multi-tenant/franchise data environments

  - Experience running parallel-run validation (old system vs. new system side-by-side)

Manual QA Tester (Project-Based)

We're a small, bootstrapped product ecosystem — currently including a QR code generation SaaS platform, with additional products in active development. We're looking for a Manual QA tester to join our pool of trusted contributors: someone we bring in project by project, feature by feature, as new work comes up across our products.

This is not a fixed-hours role. There's no guaranteed weekly commitment. Instead, you'll be paid per project/feature you test, and — if it's a good fit on both sides — you'll be first in line when new work lands. Over time this can mean steady, recurring engagement; it just isn't structured as employment.
 

What You'll Do (per project)

• Perform regression, acceptance, GUI, smoke, and sanity testing as relevant to the feature, project or deployment
• Run test cases, checklists, and exploratory tests against a defined scope
• Report and track bugs (Jira, jam.dev)
• Update and improve test cases in Qase.io
• Communicate findings clearly with the product/dev team, with a clean handoff at the end of each project

Requirements

• Experience with manual QA testing (test design, bug reports, execution)
• Familiarity with Qase.io (or similar test management tools)
• Strong English
• Comfortable working independently within a defined scope, with minimal onboarding per project
• Kyiv timezone (UTC+2) or close

Nice to Have (But great as a bonus)

• API testing (Postman)
• Experience with AI tools (e.g. ChatGPT, Claude) for test case generation

Tools We Use

Qase.io • Jira • Slack • Toggl • Jam.dev

Work Setup

• Remote, project-based, flexible scheduling within each project's timeline
• Team communicates in English and Ukrainian
• Work spans multiple products in our ecosystem — expect some context-switching between projects rather than deep specialization in one product

Application Process

1. Video (1–2 minutes):
   • In English: What motivates you to be a QA tester?
   • In Ukrainian: What is your current career challenge, and what are you doing about it?
   • (Simple phone recording is fine. Share via Dropbox or similar.)
2. Resume review
3. Short paid test assignment (scoped, so you can see how we work and we can see how you work)

4. Decision & pool onboarding
---

Due to a large number of applicants and interest then we reserve the right to not follow up on applicants who do not follow submission guidelines.

N-iX is looking for Lead/Senior Software Engineer with Protocols to join our team. 

In this role, you will design real-time telemetry pipelines, integrate with datacenter power and compute systems, and implement control and optimization logic that dynamically adjusts workloads based on grid and infrastructure conditions. This role bridges IT and OT environments - turning raw operational data into safe, reliable, production-grade control systems.

As an early engineering hire, you’ll shape system architecture, own projects end-to-end, and work closely across teams to translate real-world constraints into scalable software. 

Key Responsibilities

• Build software modules that interact with datacenters, on-site industrial power systems and the electrical grid
• Architect and implement data ingest pipelines that collect, normalize, and persist high-frequency telemetry from power meters, PDUs, UPS systems, cooling infrastructure, and compute hardware.
• Design fault-tolerant integration layers between IT systems (cloud APIs, databases, orchestration platforms) and OT systems, handling protocol translation and data model definition and mapping.
• Ensure high safety, reliability, and correctness when interacting with real-world energy assets and critical facilities — including behavior in degraded, disconnected, or split-brain network states.
• Collaborate across teams to deliver end-to-end solutions from edge device to control plane.

Requirements

• 7+ years of software engineering experience, with strong proficiency in Python or C++
• Hands-on experience building telemetry ingest pipelines or distributed systems that handle high-volume, time-series data.
• Familiarity with at least one async messaging system: Kafka, RabbitMQ or equivalent
• Exposure to IT or OT systems (SCADA, EMS, BMS, DCIM) and understanding of how data flows between them.
• Experience with Kubernetes. 
• Direct experience with industrial telemetry protocols: Modbus TCP/RTU, DNP3, OPC-UA, BACnet, or SNMP.
• English: At least Upper-intermediate

Will be a plus

• Familiarity with time-series databases (InfluxDB, TimescaleDB, Prometheus) or industrial historian platforms (AVEVA PI / OSIsoft, Ignition).
• Experience with containerized deployments, or HPC job scheduling in datacenter environments.
• Experience with Rust, Go or C/C++. 

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

🎯 Role Overview

As a Finance Analyst at TrueLabel, you will take ownership of financial operations and reporting related to Payment Service Providers (PSPs). Working with large financial datasets, cash flows, and provider reports, you will ensure data accuracy, identify discrepancies, and support process automation and optimization. You will collaborate closely with PSPs and internal teams, contributing to transparent financial operations and scalable payment processes.

⚙️ Your Tasks:

• Prepare and submit monthly PSP reporting, including cash flow offloading, transformation, and preparation of raw data for analysis;
• Analyze PSP operations, identify errors or discrepancies in data, and propose effective solutions;
• Maintain active communication with payment service providers regarding reports, discrepancies, and operational questions (English is required);
• Reconcile contractual terms and conditions of payment providers with actual transactional and financial data;
• Develop, maintain, and administer a knowledge base related to PSPs, reporting logic, and financial specifics;
• Work with large datasets and participate in automation of data processing and reporting workflows;
• Collaborate with finance, payments, and technical teams to ensure data accuracy and process efficiency.

👤 Our Criteria:

• Strong analytical skills and experience working with large volumes of financial data (cash flows, PSPs, banks, or similar financial structures);
• Experience communicating with international partners and providers in English;
• Advanced Excel skills, including Power Query, complex formulas, tables, and automation-oriented data processing;
• Ability to create reusable templates for transforming and adapting raw source data;
• High level of responsibility, accuracy, and self-organization;
• Intermediate or higher English (written and spoken);
• 1+ year of experience working with PSPs or a solid understanding of how payment service providers operate is a strong advantage.

💪 Your Strengths:

• A strong drive for continuous learning and professional growth;
• Ability to analyze data, work confidently with numbers, and find solutions in complex or ambiguous situations;
• High level of ownership and accountability;
• Clear and confident communication style.

💼 Our Offer:

• Flexible work setup - work remotely or from the office, we focus on results, not location;
• Support for a comfortable work environment - we compensate coworking expenses and EcoFlow power stationsto help our team stay productive during power outages in Ukraine;
• Unlimited vacation and sick leave, because we trust our people to manage their time responsibly;
• Relocation support for team members who want to move;
• Regular performance-based bonuses that reward individual and team impact;
• Learning support - we cover 50% of professional courses and development programs;
• Language & wellbeing support - we cover 50% of English classes and psychological consultations;
• Career growth opportunities - we prioritize internal promotions and development;
• Team culture that actually feels like one - regular gifts, company merch, and team events throughout the year;
• Real impact - we are small enough for every voice to be heard and big enough to turn great ideas into action quickly.

We're building a modern accounting SaaS, think QuickBooks, but genuinely nice to use.

The stack is a forked Akaunting (Laravel) core with a custom Next.js frontend built by a separate dedicated frontend engineer. Your job is everything behind the API: extending Akaunting's models, building clean endpoints, handling accounting correctness (multi-currency, VAT, reports), integrations, and deployment.

We work AI-native- Claude Code, Cursor, and modern tooling are part of daily flow for maximal efficiency and speed.

Requirements:
Production Laravel, strong PHP 8+ and MySQL, sharp REST API instincts, and real comfort reading and extending large existing codebases (Akaunting is ~100k lines — greenfield-only devs won't enjoy this). You use AI coding tools (Claude Code, Cursor) as part of daily flow. Written English good enough for async work. Big pluses: Akaunting/Invoice Ninja/ERPNext experience, fintech or accounting domain knowledge, double-entry bookkeeping familiarity, EU VAT exposure.
 

Dinarys is an Ecommerce Development Company helping retailers, brands, and manufacturers across DACH, the UK, and the US build, scale, and optimize their digital commerce solutions through custom development, architecture consulting, integrations, AI-driven solutions, and long-term technology partnerships.

We’re looking for a Senior Project / Delivery Manager to lead complex software delivery across multiple domains, including ecommerce, healthcare, AI-powered products, and custom enterprise solutions.

This is a strategic, hands-on role for someone who combines strong project management expertise with technical understanding. You’ll work closely with clients, engineering teams, Solution Architects, and company leadership to ensure successful delivery of technically complex projects while driving delivery excellence, operational improvements, and customer satisfaction.

This role is ideal for someone who enjoys solving complex delivery challenges, navigating uncertainty, and working at the intersection of technology, business, and people.

Responsibilities

• Lead end-to-end delivery of software projects from discovery through production and long-term support.
• Manage multiple projects simultaneously while balancing scope, budget, timelines, risks, and quality.
• Collaborate with clients, engineering teams, Solution Architects, QA, Product Managers, and stakeholders to ensure successful delivery.
• Facilitate project discovery, requirements clarification, estimation, planning, and execution.
• Drive delivery across various industries, including ecommerce, healthcare, AI, and custom software solutions.
• Coordinate cross-functional teams working with distributed engineering resources.
• Identify project risks, dependencies, and delivery bottlenecks, proactively driving mitigation plans.
• Coordinate the selection of engineering teams and technical experts to support architectural decisions and ensure the right competencies are in place for successful project delivery.
• Coordinate projects involving AI-powered solutions and support engineering teams adopting AI throughout the SDLC.
• Manage projects involving third-party integrations, licensing models, external platforms, and enterprise software ecosystems.
• Support projects that require compliance with industry standards, security requirements, and healthcare-related protocols in the UK and the US.
• Troubleshoot complex delivery issues and coordinate resolution across technical and business stakeholders.
• Continuously improve delivery processes, governance, reporting, and project management practices.
• Build trusted relationships with clients and act as the primary delivery partner throughout project execution.

Requirements

• 5+ years of experience as a Project Manager, Delivery Manager, or Technical Project Manager in software development.
• Strong understanding of PMI practices and hands-on experience applying PMI methodologies in project management.
• Proven experience delivering complex software projects for international clients.
• Strong understanding of software architecture, system integrations, APIs, cloud technologies, and modern software development practices.
• Experience working with engineering teams on technically challenging projects rather than purely business-focused initiatives.
• Experience managing projects involving AI, machine learning, or AI-enabled software development is a strong advantage.
• Familiarity with AI-assisted SDLC practices and modern engineering workflows.
• Experience working with healthcare, ecommerce, or other regulated industries is highly desirable.
• Understanding of software licensing models, commercial software delivery, and third-party technology ecosystems.
• Experience managing projects involving integrations with enterprise platforms and external vendors.
• Strong risk management, stakeholder management, and troubleshooting skills.
• Excellent communication, negotiation, and presentation skills.
• Strong analytical thinking and structured decision-making.
• Ability to communicate effectively with both business stakeholders and engineering teams.
• Experience with Jira, Confluence, Miro or similar collaboration tools.
• Upper-Intermediate English or higher.

Nice to Have

• PMI certification (PMP, CAPM) or equivalent.
• Experience with healthcare standards and regulations in the UK or the US (FHIR, HL7, NHS, HIPAA, or similar).
• Experience delivering AI-powered products or enterprise AI initiatives.
• Experience working with ecommerce platforms such as Shopify, Adobe Commerce, commercetools, SCAYLE, or BigCommerce.
• Experience with Agile delivery at scale (SAFe, Scrum@Scale, LeSS).

What We Offer

• Fully remote work.
• Opportunity to lead technically challenging international projects across ecommerce, healthcare, AI, and enterprise software.
• Direct collaboration with Solution Architects, Engineering Leadership, and company executives.
• High level of ownership and autonomy in delivery decisions.
• Exposure to modern technologies, AI-enabled development practices, and complex architecture initiatives.
• Long-term professional growth with opportunities to shape delivery standards across the company.

• 2–4 years of experience in Project Management, Delivery Management, or Operations.
• Experience working with multiple teams and projects simultaneously.
• Understanding of the Software Development Life Cycle (SDLC).
• Understanding of Agile / Scrum.
• Experience working with Jira and Confluence.
• Understanding of project planning, dependencies, risks, and deadlines.
• Ability to work with stakeholders and coordinate cross-functional teams.
• Strong written and verbal communication skills.
• Strong organizational skills, attention to detail, and ability to manage large volumes of information.
• Proactive approach and ownership of results.
• English sufficient for working with documentation.

• Coordinate GEO setup from initiation to launch readiness.
• Create and maintain project plans, timelines, and Jira boards.
• Coordinate work across teams.
• Track deadlines, milestones, and dependencies.
• Identify risks and blockers and escalate them in a timely manner.
• Organize meetings and follow up on action items and agreements.
• Monitor launch readiness and ensure all required checklists are completed.
• Maintain up-to-date project documentation.
• Gradually take ownership of the end-to-end delivery of brand launches.

• Experience working in high risk field.
• Experience launching products.
• Understanding of Game Providers and game integrations.
• Technical background or experience working with IT products.
• Experience working with cross-functional teams.

• Flexible schedule and remote format or office in Kyiv / Warsaw — you choose.
• 20 paid vacation days, sick leaves, maternity leave, and health insurance (UA-/PLbased, other locations in progress).
• A supportive, friendly team where knowledge-sharing is part of the culture.
• Coverage for professional events and learning.
• Birthday greetings, team buildings, and warm human connection beyond work.
• Zero joules of energy to the aggressor state, its affiliated businesses, or partners.

About ChatRevenue.ai 

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

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

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

About the role 

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

This is a hands-on engineering role focused on: 

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

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

What you will do 

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

What we are looking for 

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

Nice to have 

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

What we offer 

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

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

The project

You will own the development of a capability for scientific models - a custom application we are building on the Datagrok platform for one of our pharma customers. It's a central place where scientists register, discover, run, and compare computational models. Models come from different teams, in different languages, with different inputs and outputs. Your job is to turn that into one coherent, fast, self-service experience.

This is not a ticket-driven role. You will "sit" with the customer's scientists, understand how they work, and translate that into working software.

Responsibilities:

• Develop clean, high-performance, well-documented, production-level code
• Own your backlog: prioritize, estimate, communicate status, and drive features from a conversation to production
• Talk directly to the scientists and computational modelers: run demos, gather requirements, challenge assumptions, propose better ways to solve their problems on the platform
• Contribute improvements back to the platform and public plugins where the project uncovers gaps

Requirements:

• Expert-level TypeScript: you've designed and shipped non-trivial TS applications or libraries in pre-LLM era
• Engineering range: building elegant solutions from scratch, evolving complex existing codebases, and contributing efficiently across the whole stack, UI to backend
• Past projects in scientific or life-sciences software, complex modeling, or scientific computing (e.g., simulation engines, computational tools, statistical modeling apps, numerical/HPC code, etc.)
• Fluent spoken and written English: you will be in customer-facing meetings weekly, presenting your work and negotiating scope with scientists
• Willingness to learn new scientific domains
• Demonstrated ability to self-manage: you've owned a project or major workstream end-to-end and can point to something that shipped because you drove it to completion

Nice to have:

• Scientific background (STEM / life sciences)
• Python, R, C++, or Julia (enough to read and integrate scientists' model code)
• Experience with ML development and/or model lifecycle tooling (model registries, MLflow-style tracking, workflow engines)

We offer:

• Fully remote work
• Excellent growth opportunities in a highly dynamic, unique product company
• Zero bureaucracy
• Paid trainings and certifications
• Competitive compensation

Collaborator is a PR distribution marketplace created to help SEO specialists and marketers distribute content on websites and social media.

We are looking for a remote, full-time Sales Specialist to join our team, manage the sales process, run product demos, close deals, and onboard new clients.

Key responsibilities:

• Manage the full sales cycle: qualify leads, conduct product demos, understand client needs, handle objections, negotiate, and close deals;

• Onboard new clients: guide them from signup to a confident and effective start on the platform, providing initial product and strategic support;

• Help clients build and refine their SEO/link-building strategy using Collaborator.pro, aligned with their business goals;

• Attend industry conferences and events worldwide as a company representative and contribute to networking and lead generation;

• Collect client feedback and share insights with the product and internal teams to improve the user experience.

What we’re looking for:

• Proven experience in sales, including managing the sales process and closing deals;

• Previous experience in SEO and link building (guest posts, backlinks, PR placements, outreach, etc.);

• Strong English communication skills (spoken and written), with confidence presenting to clients;

• Strategic mindset and the ability to recommend optimal approaches for using the platform;

• Willingness and ability to travel internationally for conferences and events is required;

• Ability to occasionally work in US time zones is a strong advantage.

Benefits of working with us:

• Freedom in making decisions that will help to achieve the project KPIs – we value proactivity and are always open to new ideas;

• The opportunity to improve your professional skills while working with a growing IT platform;

• 22 working days of vacation per year and paid sick leave.

Other perks:

• A welcoming team, ever-ready to lend a hand.

We're a 20-person team building a browser-native scientific data platform used by Novartis, J&J, Daiichi-Sankyo, and other top pharma and biotech companies. Our platform was already 10x faster than the competition and delivered more value for less — even before the AI era. Now, we're taking it to the next level.

We're competing with Spotfire, Certara, Dotmatics, and Schrödinger — and winning. How? By building faster and smarter. Our engineering team has fully embraced AI-driven development (Claude Code, agentic workflows, AI-assisted testing), and it's become our biggest force multiplier. We ship in weeks what used to take quarters.

We're looking for an engineering leader who's already living this way — someone who has hands-on experience with agentic development tools and can help lead a team that's pushing the boundaries of what a small, focused group can deliver. You'll report directly to the CEO and have real authority to shape how we build.

What you'll build and lead

This isn't a "manage meetings and write status reports" role. You'll own critical product areas and ship alongside the team. Here's what's on the roadmap:

• AI-powered agentic workflows — Autonomous scientific agents that utilize Datagrok's plugins and integrations as tools.
• Automated testing at scale — Automatic scenarios using Playwright + AI, AI-driven bug reproduction and fixing, stress tests, unit tests, system health tests, plugin tests - everything integrated into CI-CD and managed by AI
• Platform evolution — Cross-application integration and eventing mechanicm, ClickHouse as an analytical backbone, high-performance computations
• Enterprise integrations — Databricks connectivity (ADBC/Arrow for 2–10x speedups), HuggingFace model integration, and dashboard importers for Tableau and Spotfire migrations
• DevOps and infrastructure — ArgoCD deployments, Docker image management, containerized dev environments, and OpenTelemetry observability across a multi-layer stack
• AI-powered knowledge graph — mapping source code, features, tests, docs, and Jira tickets to enable impact analysis and agentic development workflows across the entire codebase
• Process improvements - code reviews, better planning/outcome system, DX improvements, onboarding for new developers

What we're looking for

Must have:

• You've already adopted autonomous agentic development in your own workflow (harnesses, tool-use architectures, AI-driven testing, etc)
• 5+ years as a strong engineer who still codes. This is a hands-on position
• Experience leading a team (formal title matters less than demonstrated leadership)
• Proficiency in TypeScript or Dart; comfort picking up new languages fast. Our core stack is Dart and TypeScript, with C++/WASM, Python, R, Julia, and Matlab in scientific plugins
• Track record of delivering complex software products — not just managing people who do
• You see a problem, you fix it. You don't write a proposal about fixing it. You don't wait for permission
• Strong communication skills and fluent English — you'll work directly with technical clients at pharma companies and present to enterprise IT teams

Strong pluses:

• Life sciences, cheminformatics, or bioinformatics background (or genuine curiosity about this space)
• Experience building agentic AI systems — not just prompting LLMs, but designing autonomous pipelines, harnesses, tool-use architectures, or AI-driven testing frameworks
• Background in high-performance computing, data visualization, or scientific computing
• Startup DNA — you've built things from zero, worn multiple hats, and thrive without a playbook

What we offer

• Real ownership — reporting directly to the CEO, you'll lead critical product areas for a platform deployed at top-10 pharma companies, not maintain someone else's legacy code
• An AI-first engineering culture — we're not "exploring AI adoption." We've already made the transition. You'll help take it further
• Direct client impact — your work will be used daily by scientists doing drug discovery at companies you've heard of
• Startup speed, enterprise clients — the autonomy and pace of a small team, with the validation of Fortune 500 deployments
• Fully remote, zero bureaucracy, flexible hours, unlimited PTO
• Competitive compensation with growth equity opportunity
• Paid training and certifications

We’re a fast-growing licensed online casino targeting Tier 1 and Tier 3 (LatAm) markets. We’re looking for a Facebook & In-App Media Buyer who can start campaigns from zero and scale them profitably.

Key Responsibilities:

• Launch and scale high-performance advertising campaigns across Facebook and/or In-App networks (Unity, AppLovin, Ironsource, etc.).
• Oversee full-cycle integrations between mobile applications, attribution platforms (AppsFlyer, Adjust), and trackers (Binom, Keitaro) to ensure flawless data flow.
• Conduct deep-dive analysis of active campaigns, optimizing for key performance indicators (ROI, CPA, LTV) to maximize profitability.
• Develop detailed briefs for the design team and motion designers; constantly test new creative angles and landing pages.
• Monitor daily expenditures and performance metrics, providing detailed daily reports to ensure budget efficiency and target alignment.
   

Requirements:

• At least 2+ years of hands-on experience in Media Buying, with a track record of managing high-volume traffic.
• Deep knowledge of the Gambling/iGaming vertical is mandatory.
• Strong experience in launching and scaling campaigns specifically for the Tier-1 market.
• Experience managing significant monthly budgets of $50,000+ with proven ROI.
• Solid experience working within professional arbitrage teams or media buying agencies.
• Expert knowledge of launching and optimizing campaigns for both iOS and Android platforms.
• A thorough understanding of the casino economy, including player lifecycle, conversion funnels, and retention metrics.
• English at a B2 (Upper-Intermediate) level or higher is required. 

• Проводити технічний аналіз потреб, поточної інфраструктури та бізнес-вимог клієнтів.  
• Розробляти архітектуру хмарних і гібридних рішень, зокрема сценарії міграції до хмари.  
• Визначати оптимальний склад сервісів, технічні параметри, залежності, ризики та обмеження рішення.  
• Готувати та перевіряти технічну частину комерційних пропозицій, тендерної документації, презентацій і схем рішень.  
• Презентувати рішення клієнтам та брати участь у переговорах як провідний технічний експерт.  
• Супроводжувати складні та стратегічно важливі Presales-проєкти від збору вимог до передачі рішення на реалізацію.  
• Координувати взаємодію між Sales, Product, Operations, Delivery, Security, Tech Support та іншими командами.  
• Забезпечувати якісну передачу погодженого рішення до команд впровадження та супроводу.  
• Проводити технічне рев’ю рішень, підготовлених іншими Presales Engineers.  
• Розробляти та впроваджувати єдині стандарти, шаблони й підходи до підготовки Presales-рішень.  
• Допомагати команді з пріоритизацією запитів, розподілом складних кейсів та вирішенням технічних блокерів.  
• Менторити Presales Engineers, надавати зворотний зв’язок і сприяти розвитку їхньої експертизи. 
• Аналізувати типові потреби клієнтів і передавати Product-команді пропозиції щодо розвитку портфеля GigaCloud.  

• Досвід роботи у Presales, Solution Architecture, IT Infrastructure, DevOps, IT Integration або суміжному напрямі.  
• Практичний досвід проєктування хмарних, гібридних або інфраструктурних рішень.  
• Розуміння принципів роботи приватних і публічних хмар, моделей IaaS/PaaS та ключових переваг хмарних технологій.  
• Глибоке розуміння серверної інфраструктури, систем зберігання даних, резервного копіювання, мереж і віртуалізації.  
• Розуміння принципів організації основних IT-сервісів: AD, DNS, DHCP, файлових і термінальних серверів, баз даних, поштових і вебсервісів.  
• Знання підходів до забезпечення високої доступності, відмовостійкості, disaster recovery та інформаційної безпеки.  
• Досвід підготовки технічних і техніко-комерційних пропозицій.  
• Вміння презентувати складні технічні рішення зрозумілою для клієнта мовою.  
• Досвід координації роботи спеціалістів, менторингу або технічного лідерства.  
• Системне мислення, вміння ухвалювати рішення та брати відповідальність за результат.  
• Сильні комунікаційні й переговорні навички.  

• Знання VMware: принципів побудови платформи, основних компонентів, HA, vMotion, snapshots, vDS.  
• Досвід роботи з OpenStack.  
• Розуміння продуктового портфеля Microsoft Azure та AWS.  
• Досвід із Kubernetes, контейнеризацією та DevOps-інструментами.  
• Знання підходів FinOps та оптимізації використання хмарних ресурсів.  
• Участь у складних міграційних або трансформаційних проєктах.  
• Професійні сертифікації VMware, Microsoft, AWS, Cisco або інших технологічних вендорів.  
• Досвід побудови або трансформації Presales-процесів.  

• Якість і реалізованість запропонованих технічних рішень.  
• Швидкість та прогнозованість опрацювання Presales-запитів.  
• Якість передачі рішень до команд реалізації.  
• Рівень задоволеності внутрішніх замовників і клієнтів.  
• Кількість технічних помилок або суттєвих змін після погодження рішення.  
• Впровадження стандартів і покращення роботи Presales-команди.  
• Розвиток технічної експертизи колег.  

ABOUT THE ROLE:

We are looking for an experienced Business Owner who will take end-to-end ownership of the business direction of the product.

This role combines business development, strategic product ownership, partnership management, and team leadership. The successful candidate will become the primary business representative of the platform, working closely with telecom operators, data vendors, strategic partners, and internal technical teams.
 

REQUIREMENTS:

• 5+ years of experience in Business Development, Product Ownership, General Management, or a similar leadership role
• Experience working with complex B2B technology products
• Strong understanding of digital advertising, AdTech, telecom, data platforms, or identity solutions
• Experience building and managing business teams
• Experience working with strategic partners and enterprise customers
• Excellent stakeholder management and negotiation skills
• Ability to translate business requirements into product initiatives
• Strong analytical and strategic thinking
• Excellent presentation and communication skills
• Upper-Intermediate or Advanced English is required
   

RESPONSIBILITIES:

• Own the business strategy and commercial development of the product.
• Build and lead the product’s business team
• Drive partnerships with telecom operators, data providers, and strategic partners
• Own relationships with data integration partners and oversee the integration roadmap from a business perspective
• Represent the product during negotiations, presentations, and strategic meetings
• Identify new business opportunities and revenue streams
• Define the product roadmap together with the Product and Engineering teams
• Coordinate cross-functional collaboration between Business, Product, Legal, Engineering, and Operations
• Monitor market trends in Identity, Data Collaboration, Privacy, and AdTech
• Develop product positioning and go-to-market strategy
• Be accountable for business KPIs, partner growth, and product adoption
   

WILL BE A STRONG ADVANTAGE:

• Experience working with telecom operators
• Experience with DSPs, SSPs, DMPs, CDPs, Data Clean Rooms, or Identity Graphs
• Understanding of privacy regulations (GDPR, consent frameworks, privacy-preserving technologies)
• Experience in data monetisation or audience products
   

WE OFFER:

• Competitive salary
• Friendly atmosphere and goal-oriented colleagues
• Comfortable working space and rest area
• Paid vacation (20+ working days per year) and sick leaves
• Corporate English classes
• Medical insurance