Jobs at Djinni

Data Science UA є сервісною компанією з великим досвідом та експертизою у сферах Data Science та AI. Історія компанії почалася у 2016 році з організації першої Data Science UA конференції, яка заклала фундамент для нашого розвитку. За останні 9 років ми створили найбільшу Data Science спільноту у Східній Європі.

Про клієнта:
Наш клієнт розпочав свою діяльність з виготовлення металевих і скляних архітектурних конструкцій у 1996. А вже сьогодні ця компанія - це високотехнологічний виробничий комплекс, що конструює та виготовляє турнікети, блокувальники доріг, боларди, протипожежні двері, ворота та люки.
Міжнародні офіси компанії розташовані у Києві, Лондоні та Дубаї. Крім цього, вони мають 23 офіційних представників бренду по всьому світу; 30 000+ реалізованих проєктів у понад 100 країнах світу.

Про роль:
Ми шукаємо Sales Manager, який доєднається до команди в офісі у Києві (Бортничі)

Вимоги:
- Гарне володіння англійською мовою, як усно, так і письмово.
- Досвід роботи в області продажів та клієнтського обслуговування.
- Відмінні навички встановлення відносин та комунікації.
- Вміння ініціювати та розвивати бізнес-відносини.
- Здатність працювати в команді та співпрацювати з іншими відділами.
- Високий рівень впевненості у презентаціях та переговорах.
- Добре розуміння технічних аспектів продукції.

Основні обов’язки:
- Відносини з клієнтами: Встановлювати, розвивати та підтримувати ділові зв'язки з наявними та потенційними клієнтами в довірених географічних регіонах.
- Розвиток бізнесу: активно виявляти нові можливості для досягнення особистих та цілей відділу продажів. Збільшення обсягів продажів та пошук нових клієнтів та партнерів у довіреному географічному регіоні.
- Презентації та підтримка: Проводити презентації про компанію та її обладнання. Надавати підтримку клієнтам, на всіх етапах співпраці - від першого звернення до післяпродажної підтримки.
- Проєктна робота: підготовка проєктних пропозицій спільно з технічними та інженерними командами компанії.
- Узгодження умов: обговорення умов проєкту та контрактів для максимізації прибутку.

Клієнт пропонує:
- Своєчасну виплату заробітної плати (2 рази на місяць)
- Офіційне працевлаштування відповідно до законодавства України
- Безкоштовну розвозку від м. Харківська (локація — мікрорайон Бортничі, Київ) або можна віддалено
- Доступ до безкоштовного тренажерного залу (хто відвідує офіс)
- Харчування за приємними цінами (частково компенсується компанією)

Сollaborator.pro — маркетплейс прямої реклами, який допомагає клієнтам розміщувати PR-статті та пресрелізи через вебсайти та соціальні мережі.
 

Шукаємо досвідченого QA Engineer до нашого IT-підрозділу, для роботи над новими та існуючими завданнями Collaborator.pro та майбутніми проєктами.
 

Ви будете працювати у молодому колективі. У вас буде можливість впливати на розвиток продукту та бачити реальну віддачу від ваших дій.
 

Вимоги:

• Практичний досвід на позиції QA від 2х років;
• вміння працювати з checklists, test cases (для автотестів);
• досвід застосування інструментів штучного інтелекту у роботі;
• здатність чітко й лаконічно складати звіти та негайно повідомляти про критичні проблеми;
• досвід у розробці та проектуванні високонавантажених систем, фінтеху, бухгалтерського обліку;
• практичний досвід роботи з SQL та реляційними базами даних;

• досвід роботи з інструментами відстеження помилок, такими як Jira. 

  
  Основні обов’язки:

• Аналіз і перевірка вимог на предмет можливості тестування;
• опрацювання багів, виявлених через звернення користувачів від служби підтримки, аналіз та опис для Dev-команди;
• відстеження помилок, визначення їх пріоритетності та управління беклогом помилок;
• проведення комплексного тестування веб-додатків, мобільних додатків та API для забезпечення якісного користувацького досвіду;
• проведення UI-UX тестування, виявлення проблем та невідповідностей у дизайні, тісна співпраця з дизайнером;

• пряма робота з Product Owner, командами розробки та аналізу даних, надання зворотного зв’язку та контроль якості на всіх етапах розробки. 

  
  Буде плюсом:

• Досвід роботи з фреймворками автоматизації на Selenium/Selenide (Java) та системами контролю версій (GitHub, GitLab);
• базові навички інтеграції тестів у процеси CI/CD (наприклад, GitLab CI, Jenkins); 

• досвід ручного тестування API з використанням інструментів (Postman, Insomnia тощо).

  
  Ми пропонуємо:

• Навчання;
• цікаві завдання;
• свободу дій, але прийняття відповідальності за них;
• високопрофесійний колектив;
• робочий графік 5/2, 8-годинний робочий день;
• віддалений формат роботи.

Чекаємо на Вас :)

Learn Solutions створює інтерактивні навчальні курси, анімаційні ролики та інші освітні продукти для корпоративних клієнтів. Ми шукаємо Business Development Manager, який/яка відповідатиме за системний розвиток продажів і ринків — від стратегії до реалізації.

Зона відповідальності

• Формування та реалізація стратегії бізнес-розвитку в Україні, Східній Європі та на інших міжнародних ринках

   

• Побудова та тестування каналів залучення клієнтів:
  • сайт (позиціонування, меседжі, пропозиції)
  • соціальні мережі (LinkedIn, інші релевантні канали)
  • партнерства та прямі продажі
• Розробка go-to-market плану для ключових продуктів і нових напрямів
• Лідерство у воронці продажів: від ліда до контракту
• Робота з ключовими клієнтами та розвиток довгострокових партнерств
• Спільна робота з командою контенту / продакшну над комерційною пропозицією та упаковкою продуктів
• Ведення CRM, аналітика, гіпотези, регулярний перегляд і покращення процесів

• Участь у формуванні планів продажів і фінансових цілей

   

Ми очікуємо

• Досвід у Business Development / Strategic Sales / Partnerships
• Розуміння або досвід роботи з EdTech / B2B навчальними продуктами
• Уміння мислити стратегічно, але доводити ідеї до конкретних дій
• Досвід або сильний інтерес до міжнародних ринків (Східна Європа, EU, інші)
• Впевнена письмова та розмовна англійська

• Самостійність, проактивність, лідерська позиція

   

Буде плюсом

• Досвід роботи з LinkedIn як каналом продажів / бренду
• Участь у побудові або масштабуванні продажів з нуля

• Досвід співпраці з маркетингом або контент-командами

   

Ми пропонуємо

• Віддалений формат роботи
• Ставка + бонуси / %, прив’язані до результатів

• Реальний вплив на стратегію та розвиток компанії

   

📩 При подачі просимо коротко описати:

• ваш досвід у бізнес-розвитку / стратегії
• ключові компетенції
• зарплатні очікування

About the Client

Our client is a neocloud building purpose-built GPU infrastructure for AI workloads. We operate large-scale clusters powering training and inference for some of the most demanding AI customers in the market, and we're rapidly expanding. Our infrastructure runs on NVIDIA and AMD accelerators, InfiniBand and high-speed Ethernet fabrics, and a production stack spanning bare-metal provisioning, Kubernetes, and OpenStack.

We're small, senior, and moving fast. The people who do well here own problems end-to-end and make decisions with incomplete information.
 

The role

We're hiring a Senior Manager, Platform Engineering to lead the team that keeps our GPU

clusters running and evolving. You'll own the operational heartbeat of Company's cloud platform, the people, the systems, and the practices that turn racks of GPUs into reliable customer-facing infrastructure.

This is a hands-on leadership role. You'll start roughly 50/50 between technical work and management as you ramp up, earn context, and build trust with the team, and scale toward 80/20 management over your first 12 months as the team grows and your direct reports take on more. We're not looking for a manager who has forgotten how to read a stack trace, and we're not looking for a senior IC with a team tacked on. We're looking for someone who leads by setting technical direction, raising the bar on operational rigor, and growing engineers, and who can still jump into an incident bridge and be useful.
 

What you'll own

• A team of ~9 engineers spanning production engineering, SRE, security, and

automation.

• The reliability, performance, and operability of Client's GPU cloud platform across

multiple clusters and customers

• Incident response and post-incident culture, you'll set the standard for how we

investigate, communicate, and learn from outages

• Operational readiness for new clusters and data center buildouts, in close partnership

with our DC Build, Networking, and Program Management functions

• Platform automation and infrastructure-as-code maturity, reducing toil, codifying tribal

knowledge, and making our environment legible to both engineers and AI tooling

• Hiring, coaching, and career development for the team, including an anticipated split of the team into specialized functions as we scale
   

What we're looking for

Required

• 8+ years of infrastructure, production engineering, or SRE experience, including 3+

years managing or tech-leading engineers

• Deep hands-on experience with Linux production systems at scale, you've debugged

kernel, networking, and storage issues in anger, not just read about them

• Strong Kubernetes operational experience, you understand what breaks in Kubernetes

at scale and why, not just how to write a deployment manifest

• Experience running cloud or cloud-adjacent platforms in production, IaaS, bare-metal, or hybrid, with real customers depending on uptime
• Fluency with modern automation and IaC tooling (Ansible, Terraform, or equivalent) and a bias toward codifying operational knowledge rather than keeping it in people's heads
• Track record of building and running on-call, incident response, and post-mortem

practices that engineers actually trust

• Clear, direct written communication, much of our team and work is async
  
   

Strongly preferred

• Experience operating GPU or HPC infrastructure, or a strong appetite to go deep on it

quickly

• OpenStack, or bare-metal provisioning experience
• Experience working alongside networking and security engineers as peers, not as tickets to file
• Familiarity with observability stacks (Prometheus, Grafana, Checkmk, or similar) and a

point of view on what good monitoring looks like

• Experience scaling a team through rapid growth, splitting functions, hiring against a plan, and evolving reporting structures without breaking trust
   

How we work

• We're remote-first across US, LATAM, and EU time zones
• We write things down, decisions, architecture, runbooks, post-mortems
• We use AI tooling heavily in day-to-day operations and expect everyone on the team to be fluent with it and to help us get more leverage from it
• We ship, we debug, we iterate. We don't process-engineer our way around problems that need to be solved
   

AI as a force multiplier

We're making a deliberate bet that AI changes the shape of infrastructure teams. Our plan is to scale our platform faster than we scale headcount, using AI-powered development tools to build and refactor automation, AI-assisted testing and validation to improve reliability, and LLM-driven workflows to accelerate investigation, documentation, and operational review.

We're already applying these approaches in production and actively working to turn institutional knowledge into AI-accessible systems that improve operational efficiency and decision-making.
We want a leader who is genuinely excited about this, not someone who tolerates AI tooling because it's in the JD, but someone who will drive it. That means:

• Setting the expectation on the team that AI-assisted workflows are the default, not the exception
• Identifying where agents can own meaningful slices of work, writing playbooks,

generating tests, validating configurations, triaging alerts, drafting RCAs

• Building the substrate the team needs: good documentation, clear schemas, MCP

integrations, and the kind of structured knowledge that makes AI actually useful rather

than a gimmick

• Measuring what's working, killing what isn't, and being honest with the team and with

leadership about both

If your reaction to this is "finally, a team that's serious about this," we should talk.
 

What success looks like

First 30 days: You've built 1:1 relationships with every member of the team, shadowed enough incidents and customer escalations to have a real picture of where we are, and identified the two or three operational patterns most worth changing.

First 90 days: You're the owner of our incident and post-mortem practice. You've onboarded two new senior hires (SRE and Security Engineer) and set clear expectations for their first deliverables. You've made at least one meaningful call on platform architecture or operational tooling that the team agrees was the right one.

First 12 months: The team is measurably more effective, fewer repeat incidents, faster time to resolution, more work automated away. You've hired at least one additional engineer, coached at least one existing team member into a stretch role, and established Platform Engineering as a function that other teams at Company want to work with.

About the Client

Our client is a neocloud building purpose-built GPU infrastructure for AI workloads. We operate large-scale clusters powering training and inference for some of the most demanding AI customers in the market, and we’re rapidly expanding. Our infrastructure runs on NVIDIA and AMD accelerators, InfiniBand and high-speed Ethernet fabrics, and a production stack spanning bare-metal provisioning, Kubernetes, and OpenStack.

We’re small, senior, and moving fast. The people who do well here own problems end-to-end and make decisions with incomplete information.
 

The role

Security is a core part of who we are and how we operate. We’re hiring a Senior Production Security Engineer to help strengthen and scale our security capabilities.

This is not a compliance-focused role, and it is not purely advisory. We are looking for a hands-on senior engineer who can identify high-risk gaps and opportunities, partner with engineering and leadership teams to design effective solutions, and implement those solutions through code, automation, and tooling. In addition to security-focused initiatives, this person will contribute meaningfully to broader infrastructure, platform, and production engineering efforts.
Beyond the technical responsibilities, this role plays a key part in fostering a security-first engineering culture. You will advocate for best practices, educate teams, and help raise the security bar across the organization. This is an opportunity to shape the future of our security function and become a foundational leader as it continues to grow.
 

What this role is, and is not

This role is:

• A senior engineer who drives the core of a security focus.
• A self-directed practitioner who identifies security weaknesses, opportunities to level up, prioritizes them, and builds a credible roadmap.
• A cross-functional partner who works with infrastructure, platform, cloud, and leadership to recommend action and architect solutions.
• A builder who implements solutions in software, tooling, and infrastructure, not just slides and policies.
• A reviewer and advisor who partners with developers and teams on proposed projects from a security perspective.
• A versatile contributor who still gets meaningful work done in other engineering domains.

This role is not:

• A regulatory or legal compliance role. Compliance evidence will be a byproduct of good engineering, not the job itself.
• An audit-and-recommend-only role. We need someone who builds what they recommend.
   

What you’ll work on

The scope below outlines where this role will harden, automate, and validate Client’s security posture across our infrastructure, platform and customer facing surfaces.  We expect the person in this role to refine priorities based on what they learn in their first weeks.
 

Internal tools, services, and applications that harden our security posture

• Proper network segmentation best practices across tenants, management, and customer planes.
• SSH and system access management architecture
• Multi-tier secret storage for both internal users and customers.
• User account management and lifecycle policy for core systems (joiners, movers, leavers done right).
• Secret rotation pathways for core internal systems, automated, auditable, and not reliant on tribal memory.
• x509 certificate issuing architecture, an internal PKI we can actually operate and rotate.
   

Security-focused monitoring, alerting, and auditing

• Multi-redundancy Vault admin logging.
• GCP access and action logging with real retention and alerting.
• Automatic alerting and reporting from log aggregation pipelines.
• Network traffic analysis and reporting, feeding off our existing fabric telemetry.
• Security-focused dashboards that are actually used, not just built.
   

Customer-facing secret and identity management

As our cloud offering matures, this role helps define the customer-side story:

• KMS architecture and options.
• Encryption strategy, at rest, in transit, and tenant-scoped.
• Security reporting surfaces for customers.
• Customer login, identity, and account management for the cloud platform.
   

Review of what we already have

• Own and drive third-party penetration tests and red team engagements.
• Lead a full design and architecture review of our current stack and document the risk landscape.
• Translate findings into a prioritized, resourced remediation plan.
   

Clear policies and partnerships around third-party code

• Own the liability model, or make the deliberate decision to pay someone else to.
• Processes and tooling for third-party software review, and dependency risk.
• A “happy path” for engineers, the easy, supported way to pull in third-party code safely.
   

What we’re looking for

Required

• 7+ years of hands-on engineering experience, with a substantial portion focused on security in production environments.
• Demonstrated experience designing and operating in multi-tenant, tenant-isolated environments, cloud, neocloud, hosting, or regulated enterprise.
• Deep, practical familiarity with secrets management (HashiCorp Vault or equivalent), PKI, and identity systems (Okta, Google Workspace, or similar).
• Strong Linux and OS fundamentals, you understand what is actually happening on the box, not just what the tool reports.
• Working fluency in networking and network security: firewalls, segmentation, VPN, BGP at a conceptual level, and modern L3/L4 controls.
• Experience with at least one of: Kubernetes security (admission control, network policy, workload identity), cloud IAM at depth (GCP, AWS, or Azure), or infrastructure-as-code security review.
• CI/CD automation design and implementation experience, enough to build the paved road yourself when needed.
• Experience driving or responding to a third-party audit, penetration test, or customer-led security review.

• Clear, direct written communication, much of our team and work is async.

   

Strongly preferred

• Experience being the first or one of the first dedicated security hires at a company, and building a function from there.
• Experience in GPU cluster, HPC, or AI infrastructure environments.
• Familiarity with InfiniBand, RoCE, or other high-performance fabrics from a security and segmentation perspective.
• Experience with SOC 2, ISO 27001, HIPAA, or similar frameworks, enough to know what auditors actually care about, without being a compliance specialist.
• Experience supporting sensitive customer workloads (regulated industries, government, frontier AI labs).

How we work

• We’re remote-first across US, LATAM, and EU time zones.
• We write things down, decisions, architecture, runbooks, post-mortems, threat models.
• We use AI tooling heavily in day-to-day operations and expect everyone on the team to be fluent with it and to help us get more leverage from it.
• We ship, we debug, we iterate. We don’t process-engineer our way around problems that need to be solved.

AI as a force multiplier

We’re making a deliberate bet that AI changes the shape of infrastructure and security teams. Our plan is to scale Client's platform faster than we scale headcount, using coding agents to write and refactor automation, AI-assisted testing and validation to harden our changes, and LLM-driven tooling to compress the work of investigation, documentation, and operational review. We’re already doing this in production: Claude Code for SRE operations, MCP servers exposing Jira, NetBox, and Checkmk, and an active effort to turn tribal infrastructure knowledge into AI-consumable formats.

For security specifically, we want someone who is excited about this, not someone who tolerates AI tooling because it’s in the JD. That means:

• Using AI-assisted workflows as the default for tasks like log review, config audit, threat modeling support, and policy drafting.
• Identifying where agents can own meaningful slices of security work, triaging alerts, drafting RCAs, generating and validating hardening configurations, reviewing pull requests for security-relevant changes.
• Building the substrate the team needs to make AI actually useful, good documentation, clear schemas, MCP integrations, and structured knowledge about our environment.
• Being honest about where AI is adding value and where it isn’t, with the team and with leadership.

If your reaction to this is “finally, a team that’s serious about this,” we should talk.

What success looks like

First 30 days: You’ve built working relationships with the infrastructure, platform, network, and cloud teams, shadowed enough of our production environment to understand where real risk sits, and produced a draft of our top security issues ranked by impact and effort.

First 90 days: You own a credible, prioritized security risk register that leadership and engineering actually use in planning. You’ve made at least one meaningful architectural call, on access, secrets, or identity, that the team agrees was the right one. Shared admin-scoped SSH keys and shared or weak passwords on critical systems have a concrete plan and timeline to be eliminated.

First 12 months: A functioning internal PKI and secret rotation story is in place for core systems. Security-relevant logging, alerting, and dashboards cover our highest-value systems with an on-call path that works. A third-party penetration test has been executed and findings have a remediation plan with owners and dates. Engineering teams have a clear, low-friction path for third-party code and for new service design reviews. You and leadership have a shared point of view on what the next hire into the security function looks like, and whether this becomes a team, a CSO search, or both.

Benefits:

• Unlimited Paid Time Off (PTO)
• Zero-cost employer-covered health insurance
• Company-funded 401k contributions
• Transparent, candid culture with 1:1 coaching, performance reviews, and a consistent feedback loop
• Diverse, respectful, high-performing coworkers you’ll want to achieve greatness with!  

Description

About the Client

Our client is a neocloud purpose-built for AI workloads. We design, deploy, and operate GPU clusters at scale, bare-metal compute, high-performance networking (NVLink, InfiniBand, RoCE), and the software platforms that make them usable for training and inference customers. We move fast, we own our infrastructure end-to-end, and we are building the operational foundation for the next generation of AI compute.

The Role

We are hiring a Principal Production Operations Engineer to serve as part of the senior technical backbone of how we run production. This is a generalist role. You will operate horizontally across systems administration, DevOps, SRE, automation, platform engineering, and vertically from hands-on incident command to multi-quarter architectural strategy and execution.

This is not a people-manager role. It is a senior individual contributor role with org-wide technical influence. You will help set the standards that the rest of the operations org follows, lead the hardest incidents, design the automation and platform investments that determine how we scale, and raise the bar for every engineer around you. We expect you to have already done this work somewhere else, owned production at scale, survived the outages, built the systems that prevented the next ones, and mentored the engineers who now run them.

You will work alongside our network architects, platform engineers, and datacenter delivery team. You will be expected to have strong opinions, defend them with data, and change your mind when the evidence says you should.

What you'll own

Production infrastructure and reliability

• End-to-end ownership of reliability, performance, and operational health across the company's production infrastructure, bare-metal GPU clusters, OpenStack, Kubernetes, storage, and the networking and security layers underneath.
• Technical leadership during major incidents: incident command, root cause analysis, and the durable fixes that ensure the same class of failure does not recur.
• Architectural decisions for how we scale compute, storage, and networking across

multiple datacenters and cluster generations.

• Lifecycle workflows for bare-metal provisioning, node onboarding, decommissioning,

firmware management, and fleet-wide remediation.

• Capacity planning, performance engineering, and the operational readiness reviews that gate new clusters into production.
   

Automation and platform engineering

• Set the bar for infrastructure-as-code, configuration management, and operational

tooling across the org. Define the patterns; do not just follow them.

• Design and build the automation that eliminates classes of toil, deployment, scaling,

failover, provisioning, firmware, observability, security posture.

• Own the CI/CD, GitOps, and release engineering primitives that production runs on. Make them boring, reliable, and self-service.
• Choose the right tools and frameworks (Terraform, Ansible, Helm, Python, Go, Bash) for the problem in front of us, and know when to build versus buy versus avoid.
• Drive the AI-assisted operations strategy, agentic runbooks, MCP-integrated tooling, and the workflows that let a small team operate a very large fleet.
   

Observability and operational discipline

• Evolve the observability stack (OpenTelemetry, Prometheus, Grafana, Alertmanager,

Loki, Checkmk) into a platform engineers trust.

• Define what good looks like for instrumentation, SLOs, alerting, and on-call hygiene.

Drive the org toward signal over noise.

• Lead post-incident reviews. Translate findings into concrete engineering work, not action items that die in a doc.
• Participate in the on-call rotation.
   

Technical leadership and force multiplication

• Mentor senior and mid-level engineers. Raise the technical ceiling of the team without

becoming the bottleneck.

• Write the design docs, the runbooks, and the standards that the rest of the org builds on.
• Prioritize engineering effort against real operational risk. Say no to the work that does

not matter; say yes loudly to the work that does.

• Partner with the leadership on org-level technical strategy.
• Represent operations in customer-facing technical conversations when the situation calls for it.
   

What we're looking for

Required

• 10+ years in Operations, DevOps, SRE, Production Engineering, or Infrastructure

Engineering, with significant time at the senior or staff level.

• Deep Linux internals knowledge.
• Proven track record owning production systems end-to-end at scale, not just

participating in operations, but defining how operations work.

• Strong programming and automation skills in at least one of Python, Go, or similar. Bash fluency is assumed.
• Hands-on expertise with Terraform, Ansible, or equivalent configuration management at scale.
• Hands-on expertise with modern observability stacks (Prometheus, Grafana, Loki,

OpenTelemetry) instrumentation, SLO definition, alert design, and reducing alert fatigue.

• Networking depth well beyond fundamentals: routing, NAT, conntrack behavior, load

balancing, DNS, TLS, and the ability to troubleshoot when needed.

• Experience leading incident response and post-incident review for high-severity

production events.

• Track record of mentoring engineers and elevating the technical standards of a team or org.
• Comfortable working in ambiguity. You build a structure where there is none and do not

wait to be told what to do.
 

Strongly preferred

• Production OpenStack experience, particularly Ironic, Nova, Neutron, and the

operational realities of bare-metal provisioning at scale.

• Kubernetes at scale, including GPU-aware workloads, operators, and the failure modes of CNI, CSI, and the control plane.
• GPU compute or AI infrastructure experience, NVIDIA driver and Fabric Manager

troubleshooting, NCCL, InfiniBand or NVLink fabrics, CUDA version management across

fleets.

• Hardware-aware operations: firmware management, BMC/Redfish automation, BIOS

configuration at fleet scale, and the operational discipline that goes with bare metal.

• Startup or scale-up experience. You know what it feels like to build the second version of everything because the first one was duct tape.
• Experience integrating AI-assisted tooling (Claude Code, agentic workflows, MCP

servers) into production operations.
 

How we work

• We are remote-first. We rely on written communication, async-by-default decision

making, and high-bandwidth pairing when it matters.

• We own our infrastructure. We do not hand off problems to vendors and wait. We

diagnose, we fix, and we write down what we learned.

• We use AI as a force multiplier, not as a replacement for engineering judgment, and not

as a novelty. We expect every engineer to be fluent with it.

• We participate in a 24/7 on-call rotation. Principal engineers are also an escalation point when the rest of the rotation needs help.
  
   

AI as a Force Multiplier

Operations is built on the assumption that a small, senior team augmented with AI can outperform a much larger traditional ops org. We expect you to use Claude Code, MCP-integrated tooling, and agentic workflows as core parts of how you investigate, automate, and document. If you have not used these tools in production yet, you should be hungry to. If you have, you should be ready to help define how the rest of the team uses them.

What success looks like

First 30 days

• Onboarded into all production systems, and the active incident backlog. You know where the bodies are buried.
• Shadowed an incident, and contributed at least one durable fix to a recurring operational issue.
• Identified the top three operational risks you would prioritize in the next quarter and started building consensus on them.

First 90 days

• Owning at least one major reliability or automation initiative end-to-end, with measurable impact (toil reduction, MTTR improvement, or reliability gain).
• Driving meaningful improvements to incident response, observability, or platform tooling that the rest of the org has adopted.
• Actively mentoring at least one mid-level or senior engineer.

First 12 months

• Recognized across the company as a technical authority on production operations. Architecture decisions of any significance include you.
• Shipped at least one platform-level investment (automation, observability, or lifecycle) that has materially changed how we operate.
• Raised the operational maturity of the org by a visible step, measured in incident frequency, MTTR, toil, and engineer quality of life.
• Influenced the hiring bar and the technical direction of operations beyond your own scope of work

ABOUT THE COMPANY

We are a fast-growing AI-native platform operating at the intersection of digital media, risk intelligence, and enterprise compliance. Our product enables large organizations to evaluate and monitor third-party partnerships at scale in real time, helping them manage brand safety and regulatory exposure across complex digital ecosystems.

We work with enterprise-level organizations across multiple regulated and high-visibility industries, including financial services, healthcare, consumer markets, technology, and media.

We are a lean, high-ownership team where individuals are expected to take end-to-end responsibility, move quickly, and have direct visibility into business outcomes and decision-making.
 

THE ROLE

We are looking for a Growth Marketing Manager who is deeply focused on structured experimentation and scalable acquisition. At this stage of growth, the product is validated, and the focus is on building a repeatable and measurable growth engine across multiple channels.

You will be responsible for identifying, testing, and optimizing acquisition channels that deliver the strongest conversion efficiency and long-term value.

This is a highly experimental, data-driven role where speed of learning is critical. You will evaluate and iterate across a mix of channels including content marketing, influencer partnerships, paid acquisition, outbound campaigns, and third-party platforms.

You will be expected to operate with a strong balance of strategic thinking and hands-on execution, working directly with company leadership and contributing to how the go-to-market function evolves.
 

WHAT YOU'LL OWNStrategy & Channel Development

• Evaluate and prioritize acquisition channels including content, influencer partnerships, paid media, outbound, and third-party review platforms
• Build and maintain a quarterly growth strategy supported by clear reasoning and performance data
• Identify and test partnerships within relevant creator and influencer ecosystems aligned with target audiences
• Develop and manage presence on relevant software and B2B review platforms
• Stay current on market trends in digital media, creator ecosystems, and B2B acquisition strategies
   

Content & Thought Leadership

• Write and publish original long-form content covering industry trends, product-relevant insights, and market perspectives
• Create LinkedIn posts, short-form content, and campaign messaging aligned with a consistent brand voice
• Translate complex industry topics into clear, structured, and engaging narratives
• Maintain a content calendar and ensure consistent publishing cadence
   

Social Media Management

• Own day-to-day execution across LinkedIn and other relevant platforms
• Manage publishing schedules, engagement, and community interaction
• Maintain consistency of tone, messaging, and positioning across channels
• Track and report performance metrics including engagement, reach, and growth trends
   

Paid Acquisition

• Set up and manage paid campaigns across platforms such as Google Ads, LinkedIn Ads, and similar channels
• Develop ad copy, targeting strategies, and campaign structures
• Monitor performance on a daily/weekly basis and run structured A/B testing
• Optimize campaigns based on key metrics including CTR, CPL, and pipeline contribution
• Deliver regular performance reports with actionable insights
   

Outbound & Campaign Support

• Support outbound marketing initiatives including list research, messaging support, and campaign coordination
• Assist in execution of email-based campaigns and related workflows
• Track performance and contribute to ongoing optimization efforts
• Maintain accurate campaign documentation and reporting
   

Reporting & Analytics

• Consolidate performance data across channels into weekly and monthly reports
• Translate data into clear insights and actionable recommendations
• Maintain dashboards for visibility into key growth metrics across all channels
   

WHAT WE'RE LOOKING FORRequired

• 3–5 years of experience in growth or marketing roles with ownership of strategy and execution
• Strong writing ability with clear thinking and structured communication
• Experience building and defending marketing strategies based on data and reasoning
• At least 1 experience point in marketing strategy successful execution with measurable results.
• Hands-on experience with at least one paid acquisition platform (Google Ads, LinkedIn Ads, Meta Ads, or similar)
• Comfortable operating in ambiguous, fast-moving environments
• Strong analytical mindset with a focus on performance metrics and optimization
   

Nice to Have

• Experience with influencer or creator-led marketing initiatives
• Familiarity with B2B review platforms and reputation channels
• Experience with marketing automation or social scheduling tools
• Working knowledge of analytics and CRM platforms (e.g., Google Analytics, HubSpot, or similar)
• Background in B2B SaaS or early-stage startup environments
• Portfolio of writing, campaigns, or strategy work
   

WHY JOIN

• Opportunity to define and scale a growth function from early stage
• High ownership across strategy and execution from day one
• Exposure to complex, fast-evolving market problems at the intersection of digital media and enterprise risk
• Direct collaboration with company leadership
• Clear progression path as the company scales
• Work that directly impacts partnerships with globally recognized enterprise organizations

Data Science UA is a service company with deep expertise in AI and Data Science. Our story started in 2016 with the first Data Science UA Conference in Kyiv, and since then, we’ve built one of the largest AI communities in Europe.

About the client:
Our client is a global Solution Integrator specializing in enterprise-grade infrastructure, platform engineering, and cloud-native architectures. They partner with the world's leading technology vendors to help organizations design and implement transformative solutions that drive innovation, efficiency, and growth. 
 

Office location: Vilnius (hybrid format, office visit 1-2 times a week)

About the role: 
We are looking for a Full Stack Engineer to join the CTO Office and take ownership of our client’s product development lifecycle. You'll work hand-in-hand with the CTO Office team, taking initiatives that have been validated as POCs and leading them into production-grade, scalable solutions.

Responsibilities:
- Take validated POCs from the CTO Office and architect, build, and ship them as production-ready applications
- Design and develop full-stack solutions — modern frontends paired with robust, scalable backends
- Build and deploy within the AWS ecosystem (Lambda, ECS/EKS, DynamoDB, S3, RDS, API Gateway, CDK/CloudFormation, and more)
- Own the CI/CD pipeline — design, build, and maintain automated workflows using GitHub Actions
- Design and build internal agentic AI solutions using LangChain and LangGraph — from multi-step agent orchestration to RAG pipelines and tool-augmented workflows
- Leverage Agentic IDE tools (Cursor, Claude Code, and similar) as a core part of your development workflow, applying best practices around skills, MCPs, agents, and prompt engineering to accelerate delivery
- Collaborate closely with the CTO Office, product stakeholders, sales, and pre-sales teams to translate business needs into elegant technical solutions 
- Make pragmatic technology decisions that balance speed, quality, and maintainability

Requirements:
Must-Have:
- 5+ years of professional full-stack development experience
- Frontend: Strong proficiency with Vue.js or React (with modern tooling such as Nuxt/Next.js, TypeScript, Vite, Tailwind CSS)
- A builder's mindset — you thrive on taking something from prototype to production
- Understanding of system design principles — you can architect scalable, reliable distributed systems and make sound trade-offs
- Grasp of data structures and design patterns — to work alongside your Agentic IDE you write efficient, well-structured code
- Backend: Solid experience with Python and modern frameworks — primarily FastAPI, or Django/Flask
- Hands-on experience with the AWS cloud ecosystem — you've built and deployed real workloads on AWS
- Hands-on experience building agentic AI systems with LangChain and LangGraph — including multi-agent orchestration, tool use, and RAG patterns
- Proven experience designing and maintaining CI/CD pipelines with GitHub Actions including automated PR based Code Reviews.
- Working knowledge of Agentic IDEs and AI-assisted development (Cursor, Claude Code, Windsurf, or similar) — including familiarity with skills, MCP servers, agents, and AI-driven development best practices
- Strong understanding of RESTful API design, relational and NoSQL databases, and cloud-native architecture patterns

Nice-to-Have:
- Experience with Amazon Bedrock and/or Azure AI Foundry for building and deploying AI/ML solutions on managed cloud platforms
- Experience with Infrastructure as Code (AWS CDK, Terraform, CloudFormation)
- Experience in security infrastructure (IDP, authentication protocols - S) and writing secured applications 
- Security & Identity - understanding of application security, including SSL/TLS certificates, secret management, and identity providers (IDP). Experience implementing authentication and authorization protocols such as SAML, OAuth2, and JWT.
- Foundational SRE knowledge, including monitoring, logging, and observability (e.g., CloudWatch, Prometheus, ELK) to ensure production stability and performance.
- Familiarity with FinOps concepts, cloud cost management, or multi-cloud environments
- Experience building data-driven tools — predictive models, analytics dashboards, or recommendation engines
- Exposure to Azure services alongside AWS
- Experience with containerization and orchestration (Docker, Kubernetes)
- Background in B2B SaaS or enterprise software development

• Build and optimize automated email flows for onboarding, activation, retention, reactivation, and transactional communication
• Own email deliverability across domains, senders, and campaigns, including inbox placement, sender reputation, bounce rates, spam complaints, and blacklist risks
• Identify key user actions and design trigger-based journeys that send the right message at the right moment
• Segment users by behavior, lifecycle stage, engagement, and business value to improve relevance and performance
• Create and manage email content, structure, logic, and testing inside email automation tools
• Analyze email performance daily and use data to improve open rates, CTR, conversions, retention, and revenue impact
• Work closely with product, engineering, and business teams to connect email automation with user behavior, product events, and company goals

• 3+ years of experience in email marketing, lifecycle marketing, automation, or deliverability
• Strong hands-on experience building trigger-based and automated email campaigns
• Deep understanding of email deliverability fundamentals, including sender reputation, SPF, DKIM, DMARC, domain health, bounce rates, and spam complaints
• Experience with ESPs and automation platforms such as SendPulse, Klaviyo, Mailchimp, HubSpot, Customer.io, ActiveCampaign, or similar tools
• Ability to read email performance metrics and turn insights into clear improvements
• Experience with user segmentation based on behavior, lifecycle stage, and engagement
• Strong ownership mindset and the ability to work independently in a fast-moving environment
• English level B2/C1 or higher, with the ability to write, edit, and collaborate in English day to day

• Experience in SaaS, B2B, marketplace, real estate, or startup environments
• Experience managing large contact databases and multi-segment communication strategies
• Familiarity with chatbot flows, SMS, or multi-channel automation
• Technical experience with email infrastructure, domain setup, warm-up strategies, and deliverability tools
• Experience improving deliverability after reputation, spam placement, or performance issues

• You’ll work at the core of a product-led, AI-powered startup where data drives every decision
• Your work will ship fast and impact thousands of users
• High autonomy, low bureaucracy: we trust you to own your domain
• Remote-first culture with flexible hours and async-friendly communication
• Salary (fixed base) ABOVE the market average
• A smart, passionate team that moves fast, supports each other, and builds cool stuff
• 15 paid vacation days plus 5 paid sick days annually
• Paid access to courses, books, and growth resources
• Real decision-making power and ownership of your results

• Own the product delivery backlog for a team of engineers, turning business and product briefs into clear, actionable increments
• Break down complex ideas into smaller shippable pieces with acceptance criteria, dependencies, and a clear definition of done
• Prioritize and re-prioritize work based on value, cost, urgency, risk, and team capacity - not gut feeling
• Collaborate daily with the Product Manager, Engineering, QA, Founders, Sales, and Support to keep delivery focused and aligned
• Write and refine tickets, clarify API behavior, edge cases, service boundaries, and expected product outcomes with engineers
• Make scope and tradeoff calls when plans change, including cutting or reducing work when a smaller version can deliver value faster
• Track delivery health, cycle time, WIP, blockers, and team flow, then communicate what is shipping, what changed, and what needs attention

• 4+ years of experience as a Product Owner, Delivery-focused Product Manager, Business Analyst, or similar role on engineering teams
• Strong experience owning backlog, prioritization, scope, and delivery - not just moving tickets or running ceremonies
• Experience working closely with engineering teams of 8+ people in a product or SaaS environment
• Ability to turn vague product briefs into clear increments, user stories, acceptance criteria, and delivery plans
• Strong technical literacy - you can read API documentation, discuss service boundaries, and work directly with engineers without a translator
• Comfortable in fast-moving environments where priorities can change several times a week and the queue still needs to stay clear
• English B2+ for written documentation, async updates, and cross-functional communication; Ukrainian is used day-to-day with the engineering team

• Experience with Node.js, microservices, or products with complex technical architecture
• Experience in marketplaces, lead generation, MarTech, sales tech, or similar high-volume transaction products
• Experience in teams that ship continuously rather than only through fixed Scrum sprints
• Experience using AI tools to improve product documentation, backlog quality, prioritization, or delivery workflows
• Previous experience working directly with founders, CTOs, or senior product leaders in a fast-scaling startup

• You’ll work at the core of a product-led, AI-powered startup where data drives every decision
• Your work will ship fast and impact thousands of users
• High autonomy, low bureaucracy: we trust you to own your domain
• Remote-first culture with flexible hours and async-friendly communication
• Salary (fixed base) ABOVE the market average
• A smart, passionate team that moves fast, supports each other, and builds cool stuff
• 15 paid vacation days plus 5 paid sick days annually
• Paid access to courses, books, and growth resources
• Real decision-making power and ownership of your results

• Own product discovery for a lead marketplace used by US real estate investors, including user interviews, funnel analysis, and opportunity sizing
• Identify the biggest product and funnel bottlenecks using data, user feedback, and business context
• Turn insights into clear one-page briefs with hypotheses, value sizing, success metrics, and expected impact
• Collaborate daily with the Product Owner and engineering team to translate validated problems into focused product work
• Partner with sales, support, and founders to understand user pain points, market signals, and revenue opportunities
• Track product outcomes after launch and connect shipped work to metrics like conversion, retention, LTV, CAC, or revenue
• Use AI and analytics tools to speed up research, analysis, decision-making, and product communication

• 4+ years of product management experience in B2B SaaS, marketplace, or another data-driven digital product
• Strong track record of moving business or product metrics, not just shipping features
• Regular hands-on experience with user research, especially talking directly to customers and turning conversations into product decisions
• Confident with analytics tools and able to work with data independently, including writing SQL or building your own analysis when needed
• Strong product thinking around funnels, user behavior, monetization, retention, and business impact
• Comfortable working with ambiguity, setting direction, and deciding what to improve without waiting for a detailed roadmap
• English C1+ for daily communication with fast-speaking US users, user interviews, written briefs, and cross-functional work
• Based in or able to work with UTC+0 to UTC+3 overlap, with regular late-afternoon or evening overlap for calls with US users

• Experience with two-sided marketplaces, lead-gen, proptech, fintech, or real estate products
• Experience working with US customers or US-based sales and support teams
• Experience in a product-led startup where speed, ownership, and measurable outcomes mattered
• Ukrainian language skills for smoother internal team communication
• Experience using AI tools as part of real product workflows, not only for writing or basic tasks

• You’ll work at the core of a product-led, AI-powered startup where data drives every decision
• Your work will ship fast and impact thousands of users
• High autonomy, low bureaucracy: we trust you to own your domain
• Remote-first culture with flexible hours and async-friendly communication
• Salary (fixed base) ABOVE the market average
• A smart, passionate team that moves fast, supports each other, and builds cool stuff
• 15 paid vacation days plus 5 paid sick days annually
• Paid access to courses, books, and growth resources
• Real decision-making power and ownership of your results

🧩 Role overview
We are looking for a Product Manager to ensure we always build the most valuable things for our marketplace — measured in revenue, retention, and margin, not opinions. You will own the “what and why” of the product, making sure every decision directly impacts LTV, CAC payback, and overall marketplace performance. Your role exists to eliminate wasted effort and ensure every sprint moves the business forward.

🧩 Requirements:

• 3+ years of experience in Product Management within B2B SaaS or marketplace environments.
• Strong understanding of unit economics (LTV, CAC, payback period, contribution margin).
• Proven track record of delivering measurable impact on product metrics such as activation, retention, or revenue.
• Hands-on experience with user research and turning insights into product decisions.
• Ability to independently pull and analyze data using tools like SQL, Amplitude, or BigQuery.
• Fluent English (C1+) for working with US-based users and stakeholders.
• AI-first mindset with experience using AI tools to significantly increase productivity.
• High ownership and ability to operate effectively with incomplete information.

• Impact: Work on a core product where your decisions directly affect revenue and user success.
• Autonomy: Full ownership of product direction with minimal bureaucracy.
• Flexibility: Remote-first culture with flexible working hours.
• Compensation: Competitive salary above market benchmarks.
• Team: High-performing, fast-moving team focused on results.
• Time Off: Three weeks paid vacation plus 5 paid sick days annually.
• Growth: Unlimited learning support including courses, books, and resources.
• AI-Heavy Environment: Deep integration of AI across workflows and decision-making.
• Ownership: Real authority over product decisions and measurable outcomes.

🧩 Role overview
We are looking for a Product Manager to ensure we always build the most valuable things for our marketplace — measured in revenue, retention, and margin, not opinions. You will own the “what and why” of the product, making sure every decision directly impacts LTV, CAC payback, and overall marketplace performance. Your role exists to eliminate wasted effort and ensure every sprint moves the business forward.

🧩 Requirements:

• 3+ years of experience in Product Management within B2B SaaS or marketplace environments.
• Strong understanding of unit economics (LTV, CAC, payback period, contribution margin).
• Proven track record of delivering measurable impact on product metrics such as activation, retention, or revenue.
• Hands-on experience with user research and turning insights into product decisions.
• Ability to independently pull and analyze data using tools like SQL, Amplitude, or BigQuery.
• Fluent English (C1+) for working with US-based users and stakeholders.
• AI-first mindset with experience using AI tools to significantly increase productivity.
• High ownership and ability to operate effectively with incomplete information.

• Impact: Work on a core product where your decisions directly affect revenue and user success.
• Autonomy: Full ownership of product direction with minimal bureaucracy.
• Flexibility: Remote-first culture with flexible working hours.
• Compensation: Competitive salary above market benchmarks.
• Team: High-performing, fast-moving team focused on results.
• Time Off: Three weeks paid vacation plus 5 paid sick days annually.
• Growth: Unlimited learning support including courses, books, and resources.
• AI-Heavy Environment: Deep integration of AI across workflows and decision-making.
• Ownership: Real authority over product decisions and measurable outcomes.

🧩 Role overview
We are looking for a Product Owner to ensure that the most valuable product decisions are executed efficiently, shipped quickly, and delivered in the right order. You will own the “how and when” of the product, turning direction into reality while maintaining speed, clarity, and high delivery quality.


🧩 Requirements:

• 2+ years of experience as a Product Owner managing delivery in cross-functional teams (8+ engineers).
• Strong ability to break down product initiatives into clear, incremental deliverables.
• Experience prioritizing work based on value, effort, and cost of delay.
• Ability to define detailed acceptance criteria, edge cases, and definitions of done.
• Strong communication skills for managing stakeholders and ensuring visibility across teams.
• Technical understanding of APIs, system design, and microservices architecture (Node.js is a plus).
• Fluent English (B1–B2+) for internal communication.
• AI-first mindset with demonstrated productivity gains using AI tools.
• High ownership mindset with focus on outcomes, not processes.

• Impact: Direct influence on how fast and effectively product decisions reach users.
• Autonomy: Ownership over delivery processes and prioritization decisions.
• Flexibility: Remote-first setup with async-friendly communication.
• Compensation: Competitive salary above market benchmarks.
• Team: Skilled, fast-moving team focused on execution and results.
• Time Off: Three weeks paid vacation plus 5 paid sick days annually.
• Growth: Unlimited learning opportunities and resources.
• AI-Heavy Environment: Advanced tooling and automation across workflows.
• Ownership: Full responsibility for delivery outcomes and team efficiency.

🧩 Role overview
We are looking for a Product Owner to ensure that the most valuable product decisions are executed efficiently, shipped quickly, and delivered in the right order. You will own the “how and when” of the product, turning direction into reality while maintaining speed, clarity, and high delivery quality.


🧩 Requirements:

• 2+ years of experience as a Product Owner managing delivery in cross-functional teams (8+ engineers).
• Strong ability to break down product initiatives into clear, incremental deliverables.
• Experience prioritizing work based on value, effort, and cost of delay.
• Ability to define detailed acceptance criteria, edge cases, and definitions of done.
• Strong communication skills for managing stakeholders and ensuring visibility across teams.
• Technical understanding of APIs, system design, and microservices architecture (Node.js is a plus).
• Fluent English (B1–B2+) for internal communication.
• AI-first mindset with demonstrated productivity gains using AI tools.
• High ownership mindset with focus on outcomes, not processes.

• Impact: Direct influence on how fast and effectively product decisions reach users.
• Autonomy: Ownership over delivery processes and prioritization decisions.
• Flexibility: Remote-first setup with async-friendly communication.
• Compensation: Competitive salary above market benchmarks.
• Team: Skilled, fast-moving team focused on execution and results.
• Time Off: Three weeks paid vacation plus 5 paid sick days annually.
• Growth: Unlimited learning opportunities and resources.
• AI-Heavy Environment: Advanced tooling and automation across workflows.
• Ownership: Full responsibility for delivery outcomes and team efficiency.