Jobs

About the role:
We’re looking for a GenAI Engineer to design and build production-grade AI capabilities, including intelligent agents, LLM-powered features, and workflow automation. In this role, you’ll collaborate closely with product, engineering, and design teams to integrate cutting-edge AI technologies into a large-scale, customer-facing product.

You’ll join a US-based team developing one of the world’s leading enterprise video platforms, used by thousands of organizations worldwide for live streaming, virtual events, online training, webinars, and other interactive experiences.
Requirements:

• Strong software engineering background (Python preferred)
• Proven track record of building production-grade GenAI applications
• Hands-on experience with LLMs, RAG, AI agents, vector databases, and AI orchestration frameworks
• Practical experience with OpenAI, Anthropic, Google Gemini, Amazon Bedrock, or similar AI platforms
• Strong system design and problem-solving skills
• Upper-Intermediate English (B2+) or higher 

Nice to Have

• Experience with AWS and cloud-native applications
• Exposure to MCP, AI automation, or multimodal AI 

Responsibilities

• Build AI-powered features using modern LLMs
• Develop AI agents, tool-calling workflows, and RAG systems
• Integrate AI capabilities with enterprise products through APIs and MCP
• Optimize prompts, model performance, and AI quality
• Collaborate with Product, Engineering, and Design teams to deliver production-ready AI solutions 

What We Offer

• Work on production AI features with real user impact in a flexible, Agile, multinational team where innovation and collaboration drive everything we do
• Continuous learning and professional growth alongside top talent in the global tech industry
• Hybrid work model, combining remote work with time in our Lviv office
• Daily collaboration with native English speakers, providing a natural opportunity to strengthen your English in a professional environment
• 18 working days of paid vacation, 10 working days of paid sick leave, and 11 paid Ukrainian public holidays

We are hiring a Senior Product Manager to own the Teramind Endpoint Agent end to end. 
You will be the single accountable product leader for the roadmap, priorities, and outcomes of the Agent organization - approximately half of Teramind engineering, working across operating systems, low-level platform components, and the server-side telemetry pipeline.

This is a pivotal role. The Agent is one of the strongest competitive moats Teramind has, and the next chapter of the product strategy depends on what we build into it. You are coming in to bring product rigor, customer insight, prioritization discipline, and technical judgment to a team that is capable of shipping world-class endpoint technology.

You will sit alongside other product managers, reporting to the VP of Product. Together, you own Teramind's product surface area.
 

What You Will Own

The Agent roadmap across all platforms. Windows, macOS, Linux, and the expansion into more platforms. You decide what ships, in what order, and why. You balance customer-driven feature work, platform modernization, performance, and security hardening on a single prioritized backlog.

Translating business vision into engineering reality. Synthesize signals from many directions - executive strategy, sister product teams, sales and customer success, customer interviews, competitor moves, analyst input, and direct conversations with the engineering org - and turn them into a coherent technical roadmap the Agent team can execute against. You are the interpreter between "we need to detect AI tool exfiltration" and "here is how we instrument the endpoint to see it."

Building for the enterprise: bulletproof and undetectable. We have a strong and growing enterprise footprint, and these customers expect the Agent to be invisible to end users, resilient against tampering, and reliable under conditions that break weaker products. You will own the roadmap that makes our agent the most trusted and most resilient in the category - tamper-proof, undetectable in stealth deployments, and engineered to survive in hostile environments.

Performance, footprint, and reliability. Every CPU cycle, every megabyte of memory, every battery percent point, and every megabyte of network we consume is felt by the end user and argued about by the customer's IT team. You will set and defend the performance bar - and push the team to raise it.

Define, measure, and meet product KPIs. You will establish the metrics that matter for an endpoint agent - adoption, version rollout velocity, deployment success rate, agent stability and crash rates, performance benchmarks, detection coverage, time-to-patch on OS changes - and you will hold yourself, the team, and the company accountable to them.

Industry and ecosystem relationships. You will build and maintain relationships with Microsoft, Apple, the Linux ecosystem, MDM vendors (Jamf, Intune, and others), major AV/EDR vendors, and the research community. You will represent Teramind credibly in technical conversations where the agent's architecture is the subject.
 

Who You Are

• 5+ years of product management experience, with at least 3 of those owning a technical platform, SDK, agent, or systems-level product. Senior IC role - you are expected to operate with autonomy and influence without needing headcount.
• Technical depth is non-negotiable. You do not need to read or write C++, but you should be able to reason about Windows architecture, understand macOS system extensions and the trade-offs of Endpoint Security vs Network Extension frameworks, and have informed opinions about agent architecture. You can sit in a design review and push back credibly.
• Endpoint or systems background. You have shipped products in at least one of these categories: endpoint security (EDR, EPP, XDR), endpoint agents for monitoring or management, OS-level tools, developer tools, systems software, or infrastructure products. Experience with products like CrowdStrike, SentinelOne, Microsoft Defender, Tanium, JumpCloud, or similar is directly relevant. Pure SaaS/application PMs without systems exposure will struggle in this role.
• You think in outcomes, not features. You define success as "95% of customers roll out a new agent version within 30 days" or "detection coverage at the edge increased from X to Y" - not as "shipped version 27.0."
• You are comfortable with security trade-offs. You have opinions about visibility vs privacy, tamper protection vs usability, cloud processing vs on-device intelligence. You can reason about the attacker's perspective and the IT buyer's perspective in the same conversation.
• You can translate across audiences. Engineers trust you because you speak their language. Customers trust you because you listen and deliver. Executives trust you because you tie technical decisions to business outcomes. Security teams at customers trust you because you respect their concerns.
• You bring rigor. PRDs, prioritization frameworks, release cadence, success metrics - you have your own way of bringing structure to product work, and you roll it out with the team, not at them.
• Strong written communication. Crisp PRDs, structured decision memos, clear release notes, credible engineering-facing specs. In a distributed team, writing is how product management scales.
   

Nice to Have

• Engineering background earlier in your career (systems, kernel, driver, or low-level platform programming)
• Direct experience with Windows Filter Drivers, Minifilters, or WFP
• Experience with macOS Endpoint Security framework or Network Extensions
• Exposure to MDM ecosystems (Jamf, Intune, Workspace ONE, Kandji)
• Experience shipping to Linux endpoints (eBPF, kernel modules, or userspace agents)
• Background in insider risk, DLP, or behavioral analytics
• Familiarity with AI/ML at the edge or on-device inference
• Experience navigating EDR/AV co-existence and exclusion lists at scale
   

Why This Role

Endpoint agents are having a moment. The convergence of insider risk, DLP, AI, and hybrid work is making the endpoint the most strategically important surface in enterprise security and workforce intelligence. Teramind's Agent is one of the deepest data-collection engines in the market - we see things the rest of the category does not - and it is one of the strongest competitive moats we have.

You are coming in to take a genuinely differentiated technical platform and make it the backbone of the next generation of workforce intelligence. The engineering talent is here. The customer demand is here. The strategic priority is here. Your role is pivotal to where Teramind goes next.
 

Interested?

We'd love to hear what you have shipped, what you have owned, and why this role fits what you want to do next. Send us your resume and a short note.

About Us

Smart Capital Center is an end-to-end, AI-powered platform for Commercial Real Estate (CRE) investment and financial management. We power real-time underwriting, asset management, and portfolio analytics through a combination of live data, workflow automation, and AI-driven insights.

Operating at the intersection of Generative AI, finance, and real estate, we are building systems that digitize and simplify complex financial workflows.

Our clients include leading institutions such as JLL, Pacific Life Insurance Company, and KeyBank. We are a lean, high-performance team building category-defining technology in a $17 trillion industry.

To learn more about our platform and vision, please visit our website.

The Role

We are looking for a Backend Software Engineer with strong experience in building scalable systems and a deep interest in AI-powered applications.

This is a high-impact, hands-on role where you will design and build backend services, integrate AI capabilities, and develop intelligent, agent-driven workflows used in real-world production environments.

You will work closely with product, AI, and engineering teams to deliver reliable, high-performance systems and automation features.

What You Will Do

Backend Development

• Design, build, and maintain backend services using Java (Spring Boot) and Python
• Develop scalable APIs and microservices for data-intensive applications
• Optimize system performance, reliability, and scalability
• Design efficient data models and handle complex integrations

AI & Intelligent Systems

• Implement and integrate AI-powered features into core products
• Design and build agent-based workflows for automation and decision-making
• Apply prompt engineering techniques to improve LLM outputs and behavior
• Work with modern AI frameworks to productionize intelligent systems

Cloud & Infrastructure

• Develop and deploy backend systems on AWS (EC2, S3, RDS, Lambda, etc.)
• Build resilient, scalable cloud-native services
• Contribute to system monitoring, logging, and reliability

System Design & Engineering Excellence

• Contribute to architecture, service boundaries, and system design decisions
• Write clean, maintainable, and well-documented code
• Ensure security, performance, and operational stability
• Continuously improve engineering quality and development practices

Collaboration

• Work closely with frontend, product, and AI teams
• Contribute to end-to-end feature delivery
• Participate in Agile development processes

Requirements

• 5+ years of backend software development experience
• Strong experience building and scaling backend systems in production

Core Technical Skills

• Strong experience with Java and Spring Boot
• Solid experience with Python
• Strong knowledge of SQL and database design (PostgreSQL preferred)
• Experience building REST APIs, microservices, and distributed systems
• Hands-on experience with AWS (EC2, S3, RDS, Lambda, etc.)
• Proficiency with Git and modern development workflows

AI & Modern Development Experience

• Experience with prompt engineering for LLM-based systems
• Practical experience building AI agent workflows in production
• Familiarity with frameworks/tools such as:
  • LangGraph
  • LangChain
  • LangSmith
  • or similar ecosystems
• Experience using AI-assisted development tools, such as:
  • Claude Code
  • Codex
  • OpenCode
  • or similar

Nice to Have

• Experience with vector databases or semantic search (e.g., Milvus)
• Knowledge of RAG (Retrieval-Augmented Generation) architectures
• Experience with CI/CD pipelines and DevOps practices
• Familiarity with event-driven architecture

• Experience with data processing pipelines or document AI systems

   

Why Join Us

• Work on cutting-edge AI-powered systems in a $17T industry
• Build real-world applications using LLMs, agents, and automation
• High ownership and autonomy with meaningful technical impact
• Opportunity to influence system design and engineering direction
• Fast-moving, execution-focused team with minimal bureaucracy
• Competitive compensation and flexible work environment

About the role

This is an on-site position in Abu Dhabi, UAE. We are looking for a hands-on Forward Deployed AI Engineer to build and operate production agentic AI systems within a complex operational business.

You will work directly with stakeholders and a cross-functional engineering squad to understand business challenges, translate them into practical technical requirements, and deliver solutions from discovery and design through implementation, deployment, operation, and continuous improvement. This is a build-first individual-contributor role with end-to-end engineering responsibility for assigned solutions.

What you will do

Understand before you build

• Collaborate directly with stakeholders to translate operational needs into clear technical requirements, constraints, and delivery priorities.
• Contribute across discovery and solution design, then implement, deploy, operate, and continuously improve the resulting systems.
• Challenge assumptions, identify underlying operational drivers, and recognize when AI is not the appropriate solution.

Agentic AI solution development

• Design, build, deploy, and continuously improve enterprise-grade agentic AI applications as the primary engineering approach.
• Develop AI agents capable of multi-step reasoning, tool and API orchestration, context management, exception handling, and human-in-the-loop workflows at enterprise scale.
• Implement Retrieval-Augmented Generation solutions, including data ingestion, chunking, vector representations, vector search, retrieval optimization, grounding, and source traceability.
• Connect AI systems to enterprise platforms through Model Context Protocol (MCP), REST APIs, OpenAPI specifications, webhooks, messaging, and event-driven architectures.
• Create reusable, self-service AI services and interfaces that can support multiple business domains.
• Apply structured LLM engineering practices, including tool calling, schema validation, retries, fallbacks, guardrails, and clear recovery paths.

Quality, reliability and governance

• Take responsibility for the quality of assigned solutions through testing, evaluation, observability, structured logging, version control, and continuous feedback mechanisms.
• Optimize deployed solutions across accuracy, reliability, performance, security, latency, and cost.
• Apply security, privacy, access-control, auditability, responsible-AI, and governance requirements throughout solution design and operation.

Delivery and collaboration

• Work closely with product owners, AI architects, engineers, and business stakeholders across discovery and delivery.
• Implement robust multi-agent systems, agent-to-agent communication patterns, tool-orchestration flows, and evaluation frameworks within the agreed solution architecture.
• Contribute reusable components, documented patterns, implementation guidance, and operational runbooks that other engineers can adopt.
• Participate in design discussions, code reviews, testing, release preparation, production troubleshooting, and post-release improvement.
• Communicate delivery progress, technical risks, dependencies, and trade-offs clearly to technical and non-technical stakeholders.

Required skills and experience

• Demonstrated curiosity and a strong drive to understand complex business and operational challenges before proposing a solution.
• A business-first, human-centered approach that treats AI as a way to augment people rather than replace them.
• Excellent English communication skills and experience working effectively in diverse, international teams.
• Strong experience building production-grade software, including practical delivery with Generative AI, Large Language Models, or applied machine learning and hands-on experience designing and deploying agentic AI solutions.
• Proven ability to deliver AI applications from requirements and design through implementation, deployment, and production support.
• Strong Python programming skills and expertise in at least one additional language: TypeScript/JavaScript, Java, or C#.
• Hands-on experience or strong working knowledge of MCP for connecting AI agents with systems, tools, APIs, and data sources.
• Practical experience with one or more modern agent orchestration frameworks or enterprise AI platforms.
• Strong understanding of asynchronous programming, API development, typed data validation, CI/CD, testing strategies, source control, logging, and error handling.
• Experience with vector databases or search platforms and production RAG patterns.
• Experience integrating enterprise systems through APIs, managed identities, middleware, webhooks, messaging queues, and cloud-native architectures.
• Practical experience deploying containerized solutions in cloud environments with monitoring and observability.
• Strong judgment across quality, latency, reliability, security, governance, and cost trade-offs.

Will be a plus

• Experience in aviation, transportation, logistics, supply chain, cargo operations, customer service, or other complex operational environments.
• Background in classical machine learning, data science, or advanced analytics.
• Full-stack engineering experience across front-end, API, and back-end systems.
• Experience with Voice AI, email automation, CRM integrations, workflow automation, or multilingual AI solutions.
• Experience building evaluation frameworks, golden datasets, simulation-based testing, regression suites, and AI quality-measurement systems.
• Experience designing multi-agent architectures, agent registries, agent-to-agent communication, and tool-orchestration standards.
• Experience working effectively with external AI platforms, startups, or technology providers as part of a broader delivery team.
• Relevant certifications in cloud AI, Generative AI, agentic AI, MLOps, or related disciplines.

Work model and relocation

The role is full-time and onsite in Abu Dhabi, UAE, for an initial one-year assignment with possible extension. The selected candidate will be employed through the designated UAE company. Planned support includes the UAE employment visa, employee medical insurance, an initial flight to the UAE, a return flight at the end of the assignment, an approved broker fee, apartment-search assistance and local arrival support (subject to the final written offer).

We are looking for a Project Manager to join Sigma Software’s IT Solutions department and lead cross-functional transformation initiatives across the company. In this role, you will coordinate enterprise-level projects focused on process optimization, automation, and adoption of modern digital and AI-driven solutions

You will work in a complex environment with multiple stakeholders, balancing strategic goals with operational delivery while ensuring measurable business value. The position is open in a remote or hybrid format depending on your location

We at Sigma Software continuously invest in internal innovation and digital transformation to provide our employees with the best tools and environments for effective work. This role offers the opportunity to influence company-wide initiatives, work with modern technologies, and contribute to the adoption of AI-supported approaches across the organization

CUSTOMER 

Sigma Software’s IT Solutions department is responsible for building and evolving internal organizational capabilities through the implementation and development of business applications and digital solutions. The department supports multiple business functions across the company and focuses on improving operational efficiency, collaboration, automation, and employee experience through modern technologies and transformation initiatives.

PROJECT 

The project portfolio includes enterprise-wide transformation initiatives aimed at improving operational efficiency, optimizing internal processes, and implementing scalable digital and AI-powered solutions across the company. The Project Manager will coordinate multiple parallel initiatives involving business and technical stakeholders while ensuring transparent delivery, effective communication, and incremental business value

Key Technologies: Azure DevOps, Confluence, Enterprise Collaboration Tools, Automation Platforms, AI-assisted Productivity Tools

Job Description

• Plan, manage, and monitor project execution to ensure delivery on time and within budget
• Drive end-to-end project lifecycle management using appropriate delivery methodologies and best practices
• Lead cross-functional transformation initiatives involving multiple business units and internal teams
• Align business and technology stakeholders around project goals, priorities, and expected outcomes
• Identify opportunities for process optimization, automation, and operational efficiency improvements
• Promote and support the adoption of AI-driven approaches within project delivery and workflows
• Perform risk analysis and proactively manage delivery risks and dependencies
• Monitor project KPIs and implement corrective actions when needed
• Ensure transparent communication and structured project documentation
• Coordinate and support delivery teams, including onboarding and professional growth activities
• Contribute to the continuous improvement of delivery processes and project management practices

Qualifications

• At least 5 years of experience in project management
• Proven experience managing cross-functional or transformation initiatives
• Experience working in enterprise environments with multiple stakeholders and parallel projects
• Strong understanding of project management methodologies and delivery frameworks
• Experience collaborating with technical teams and managing IT-related projects
• Understanding of modern technologies, integrations, and automation approaches
• Knowledge of Agile, Scrum, Kanban, or hybrid delivery approaches
• Strong risk management and decision-making capabilities
• Awareness of AI capabilities and willingness to integrate AI into workflows
• Intermediate English level or higher

Will be a plus

• Experience with enterprise digital transformation programs
• Experience implementing automation or AI-driven business solutions
• PMP, PRINCE2, Agile, or similar certifications
• Experience with process improvement methodologies

Personal Profile

• Proactive and ownership-driven mindset
• Strong organizational and prioritization skills
• Strong communication and stakeholder management skills
• Excellent leadership, negotiation, and problem-solving abilities
• Ability to work effectively in dynamic environments
• Collaborative and team-oriented approach
• Strong analytical and strategic thinking
• Ability to build trust with stakeholders across different business functions
• Continuous improvement mindset and openness to innovation

At MacPaw, we craft software that makes everyday tech life simpler, cleaner, and more enjoyable. From globally loved products like CleanMyMac and Setapp to emerging cybersecurity tools like ClearVPN and Moonlock, we are building a product ecosystem that reaches millions of people worldwide.

We’re looking for a Senior User Acquisition Manager (Web) to join the team behind CleanMyMac, MacPaw’s flagship product with millions of users globally.

CleanMyMac is an all-in-one macOS utility designed to clean, optimize, and protect Mac computers. It helps users maintain peak performance, secure their privacy, and easily keep their Mac running smoothly.

As a Senior User Acquisition Manager, you will take ownership of driving new paid user growth and managing performance marketing budgets at scale. You’ll define, test, and coordinate multi-channel media strategies, lead creative testing frameworks, and independently validate new paid acquisition channels from hypothesis to go/no-go verdicts.

If you’re excited to help scale CleanMyMac’s paid growth engine and unlock the next stage of customer acquisition across Tier-1 and global markets, we’d love to hear from you.

In this role, you will:

• Take full end-to-end ownership of driving new paid user growth at efficient CAC and target payback metrics.
• Build quarterly media-mix plans and allocate monthly budgets across digital acquisition platforms.
• Own the hands-on management and optimization of campaigns across Google Ads (PMax, Demand Gen, Search) and Meta Ads, leveraging automated and value-based bidding.
• Formulate hypotheses, design testing protocols, define success criteria, and deliver go/no-go decisions for new paid acquisition channels.
• Lead the creative strategy by running structured testing frameworks and briefing in-house copywriters and designers for high-velocity ad creative production.
• Design holdout and incrementality tests to evaluate true channel performance beyond standard attribution.
• Maintain data-tracking integrity, setting up advanced conversion signals (enhanced conversions, CAPI, Customer Match).

• Apply AI tools and automated workflows to streamline competitor monitoring, search query insights, and ad optimization.

   

Skills you’ll need to bring:

• 5+ years of experience in paid acquisition/performance marketing, with 3+ years specifically in a B2C subscription or SaaS environment.
• Strong track record of driving paid customer acquisition for B2C desktop products, with a solid understanding of desktop-specific acquisition funnels and strict CAC/payback targets.
• Fluency in unit economics: CAC, LTV:CAC, payback periods, break-even ROAS, and contribution margin.
• Deep hands-on experience managing Google Ads (PMax, Demand Gen, Search) and Meta Ads.
• Expertise in media planning, forecasting, and dynamic budget reallocation based on real-time campaign performance.
• Proven ability to run structured creative testing and collaborate effectively with creative production teams.
• Proficiency in advanced measurement, including incrementality/holdout testing.
  Technical comfort with clean data tracking, signal setup, and conversion APIs.
• High level of autonomy and a self-driven, analytical mindset.
• Practical experience applying AI tools and automations in daily performance marketing workflows.

• Strong written and spoken English (B2+)

   

As a plus:

• Experience launching and validating new paid channels from scratch (test design, budget allocation, go/no-go decisions).
• Hands-on experience with DSP platforms and Microsoft/Bing Ads.
• Experience testing emerging ad formats (e.g., ChatGPT Ads).
• Experience optimizing B2C web-to-desktop-app acquisition funnels.

What we offer:

• We are a Ukrainian company, and we stand with Ukraine against the russian aggression
  We maintain workplaces for the mobilized Macpawians and provide financial support to colleagues or their families affected by the war. Here, you can also read about the MacPaw Foundation, which intends to help save the lives of Ukrainian defenders and provide relief to as many civilians as possible.
• We are committed to our veterans
  Our Veteran Career and Empowerment Program is designed to ensure our veterans and active military personnel receive the recognition, support, and opportunities they deserve.
• Hybrid work model
  Whether to work remotely or at the hub is entirely up to you. If you decide to mix it, our Kyiv office, which works as a coworking space, is open around the clock. The office is supplied with UPS and Starlink for an uninterrupted work process.
• Your health always comes first
  We guarantee medical insurance starting on your first working month. For those abroad, you can receive a yearly Medical insurance allowance as compensation for managing your medical expenses.
• Flexible working hours
  You can choose a schedule that is comfortable for you. No one here tracks your clock in/out because MacPaw is built on trust and cooperation.
• Space to grow both professionally and personally
  Education opportunities to grow both hard and soft skills, annual development reviews, and internal community.
• Teams we are proud of
  We build honest, transparent, and reliable relationships within teams. Every Macpawian can improve processes and implement their ideas. We encourage open and constructive feedback and provide training for Macpawians on giving and receiving feedback.
• Office designed for people (and pets)
  Our office has it all: a spacious workplace with enough room for sitting up, lying down, and running around; a gym for recreation; cozy kitchens; a sleeping/meditation room; and a terrace with a view where we throw summer parties. Also, we have two cats living in the office, and you are welcome to bring your pets to the office (we have separate floors for cats and dogs).
• Time-off policy that covers life’s needs
  Convenient personal time-off policy to help you take care of essential matters in your personal life, and parental leaves. On top of all that, sabbaticals are open after 5 years of being with MacPaw.
• Join social initiatives with MacPawCares
  MacPaw participates in numerous humanitarian aid and charity projects across many fields, and you are welcome to jump in to make the world a better place.

• We’re an equal-opportunity employer. Here is a safe place for applicants of all backgrounds
  We are hiring talented humans. Meaning with all our variety of backgrounds and identities, including service members and veterans, women, members of the LGBTQIA+ community, individuals with disabilities, and other often underrepresented groups. MacPaw does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
   

  *Some benefits are under development, and new adjustments are possible.

Senior 3D Hair Artist (MetaHuman / Unreal Engine)

What You'll Do

• Create high-quality, photorealistic hair and hairstyles for digital human characters
• Own the complete hair grooming pipeline from concept references to production-ready assets
• Create and refine scalp hair, hairlines, flyaways, eyebrows, and other fine details
• Produce multiple hairstyle variations for different characters
• Ensure realistic appearance across different camera angles and lighting conditions
• Prepare and optimize hair assets for MetaHuman and Unreal Engine
• Collaborate closely with character, face, body, rigging, and animation teams
• Troubleshoot visual and technical issues related to digital hair
• Balance visual fidelity with real-time performance requirements
• Maintain consistent quality across the character library

Requirements

• Strong experience with Houdini
• Proven commercial experience creating photorealistic digital hair
• Strong experience with MetaHuman workflows
• Hands-on experience with Unreal Engine
• Experience with hair grooming tools (such as XGen, Ornatrix, Houdini Groom, Blender Hair, or similar)
• Strong understanding of photorealistic character production pipelines
• Experience optimizing assets for real-time rendering
• Solid understanding of anatomy, hairstyle design, and realistic hair behavior
• Excellent attention to detail and artistic eye for realism
• Ability to work collaboratively within multidisciplinary teams

Nice to Have

• Experience with VFX or animation character production
• Experience creating digital doubles or realistic MetaHuman characters
• Knowledge of Unreal Groom system
• Experience working with facial capture or performance capture pipelines
• Portfolio demonstrating realistic digital hair and character work

What We're Looking For

• Passion for photorealistic digital humans
• Strong ownership of asset quality from concept to final delivery
• Ability to balance artistic quality with technical constraints
• Excellent communication and collaboration skills
• Detail-oriented with a high quality bar

ZentixSoft is looking for a Data Architect! 🚀

Format: Full-Time Outstaffing, long-term contract (12 months), 100% Remote.

💡 Why ZentixSoft?
 💸 Salary Review: A structured system of compensation reviews aligned with your engineering growth. 
⚖️ Work-Life Balance: Sustainable workflows with no senseless overtime, helping you keep your resource fully charged. 
🦾 Trust and Transparency: Zero micromanagement and no invasive time-trackers—we fully trust your professional autonomy. 
🎁 Gifts & Culture: Corporate gifts for holidays, birthdays, and a true team atmosphere where your voice always matters.
 

🧩 Role Overview & Responsibilities:

We are looking for a hands-on Data Architect to take full architecture ownership of a complex data platform. In this role, you will assess, stabilize, improve, and modernize the existing architecture, delivering rapid, actionable engineering recommendations.

• Architecture Ownership: Define tactical (immediate stabilization) and target (long-term modernization) architectures that engineering teams can directly execute.
• Platform Modernization: Assess complex, legacy data environments; identify performance/scalability bottlenecks; and deliver clear, implementation-ready architectural outputs.
• Unstructured & Structured Data: Architect data pipelines and modeling frameworks capable of handling unstructured data (documents, PDFs, free text, scanned content, images) and structured/file-based datasets.
• Tech-Neutral Evaluation: Evaluate enterprise technologies based on scale, cost, workload, and business requirements rather than preference (determining when Databricks, Synapse, ADF, or Azure SQL are truly justified).
• Data Modeling & Pipelines: Design robust ETL/ELT frameworks, dimensional schemas, star schemas, and incremental processing/refresh strategies.
• Documentation & Governance: Create detailed architecture diagrams, technical decision logs, and data governance standards.
   

🎓 Our Perfect Match (Requirements):

• Proven Architecture Ownership: 4+ years of recent, demonstrated experience as a Data Architect owning overall Azure Data Platform architectures (candidate must be an Architect, not solely a Data Engineer).
• Azure Data Platform Expertise: Extensive hands-on background with Azure Data Services, including Azure SQL / SQL Server, Azure Data Lake, Azure Data Factory (ADF), Azure Synapse, and Databricks.
• Azure Cosmos DB (MUST-HAVE): Hands-on experience working with Azure Cosmos DB and file-based data stores within enterprise environments.
• Data Engineering Core: Strong mastery of Python, SQL, ETL/ELT, and Lakehouse architectures.
• Unstructured Data Experience: Proven track record handling unstructured data sources (documents, PDFs, text, scanned files).
• Fast Delivery & Problem Solving: Ability to onboard quickly into complex environments, navigate incomplete documentation, and deliver meaningful architectural guidance rapidly.
• Communication & English: Fluent English (C1) with exceptional technical writing and stakeholder communication skills.
   

📍 Project Details:

⏳ Duration: 12 Months (Full-time, 100% Remote).

🕒 Time Zone: CET / CEST.
 

We look forward to receiving your CV (please ensure your CV details your project contexts, architecture ownership, and hands-on Cosmos DB/Azure experience).

About the Project
The project is focused on a portfolio of B2C mobile products, with a strong focus on consumer utility applications. The Product Manager will own products end-to-end, including product strategy, roadmap, prioritization, experimentation, monetization, activation and retention.

Key Requirements

• 5+ years of experience in Product Management
• 2+ years of hands-on experience with B2C mobile apps
• 1+ year of hands-on experience with subscription monetization, including paywalls, pricing, trials, subscriptions, and A/B testing
• 1+ year of hands-on experience with product analytics, including retention, LTV, ARPU, conversion, churn, cohorts, and funnel analysis

• English — Upper-Intermediate or higher

  
  Key Responsibilities

• Optimize paywalls and subscription flows
• Lead pricing, trial, and product experiments
• Improve onboarding and activation
• Increase D7/D14/D30 retention and reduce churn
• Drive growth in ARPU, LTV, and conversion
• Analyze cohorts and funnels to identify growth opportunities
• Own product roadmaps and launch new features
• Align Engineering, Design, Growth, and Data teams around measurable product outcomes
  
  What We Offer
• Competitive compensation
• Fully remote work
• Real product ownership — not just backlog management
• The opportunity to work with a portfolio of 300+ owned mobile apps
• Direct impact on monetization and growth metrics
• A strong experimentation and data-driven product culture
• Exposure to utility and AI-powered products
• High autonomy and end-to-end ownership

You'll lead product design at SkinnyRx end-to-end — from defining the problem and shaping the product direction to shipping polished UI.

This is a Lead Product Design role with a strong UI focus. You'll set the bar for visual craft across the product while working shoulder-to-shoulder with our Head of Product and executive team on what we build, why we build it, and how it comes to life.

AI is deeply embedded in how we work. You'll use it across the entire design process — from exploration and content generation to prototyping and production.

What you'll do

• Own product design end-to-end across the SkinnyRx app and web — from problem definition and UX flows to final shipped UI
• Set and evolve the visual design bar for the product, creating a cohesive, high-quality experience across onboarding, patient dashboards, intake, billing, and content surfaces
• Partner directly with the Head of Product and executive team to shape product direction, prioritize opportunities, and turn ideas into shipped experiences
• Generate and art-direct AI-produced content — product imagery, illustration, lifestyle photography, micro-animations, and video — at a quality that feels intentional and distinctly SkinnyRx
• Prototype interactively — in Figma when precision matters and in code via AI tools when realism and speed matter
• Build systems and patterns that let the team move quickly without sacrificing craft or consistency

• Partner closely with engineering, copy, and marketing through tight, iterative shipping cycles

   

What we're looking for

• 5+ years in product design, with experience owning meaningful consumer product experiences end-to-end
• A standout UI portfolio demonstrating exceptional visual craft and shipped consumer work
• Strong product judgment — you can move beyond executing requirements and help determine what should be built and why
• The ability to operate independently and lead through the work, bringing back thoughtful options rather than blockers
• Deep, daily use of AI throughout your workflow, including:
  • Imagery & video: Midjourney, Sora, Runway, Kling, Nano Banana
  • Code prototyping: Cursor, Claude Code, Codex
  • Design & production: Figma AI, MCP-based workflows

• Comfort moving between product thinking, interaction design, visual design, prototyping, and production details

   

Why join SkinnyRx

• High ownership and direct influence over the product and design direction
• Work closely with the people making product and technology decisions
• A culture of shipping weekly rather than designing in isolation
• AI-native workflows with a generous tooling budget — if a tool makes you better or faster, we want you using it
• Fully remote and async-friendly, across time zones
• Compensation scaled to your level

FTE: Full-time (40 h per week)
Timeline: 3-6 months (tbd)
Start: ASAP
English: B2

Recruitment process: a tech check with our client, then an interview with the main client

The company
A well-established B2D (business-to-developer) SaaS platform operating at significant scale. Their product is infrastructure-level - real-time connectivity used by developers worldwide.

The team
~6–7 people: tech lead, PM, delivery manager, 3 web engineers + contractors. Small, tight-knit, opinionated. Standups Monday and Friday.

The role
One senior hire. This is a product-minded engineering role, not ticket execution. They’re shifting away from reactive delivery toward engineers who understand customers and drive outcomes.

Tech stack
= React + TypeScript (frontend), Ruby on Rails (backend), some Node/TS services, Postgres.

What they’re looking for
- Developer empathy - you build tools for developers, you get the frustrations firsthand
- Product thinking - question requirements, propose what should be built
- Ownership - concept to shipped with minimal hand-holding
- Proactive communicator
- Comfortable with AI coding assistants (they use them actively)
- Design + UX intuition

Description

The Digital Health organization is technology team which focused on next generation Digital Health capabilities which deliver on the Medicine mission and vision to deliver Insight Driven Care. This role will operate within the Digital Health Applications & Interoperability subgroup of the broader Digital Health team, focused on patient engagement, care coordination, AI, healthcare analytics & interoperability amongst other advanced technologies which enhance our product portfolio with new services, while improving clinical & patient experiences.

The project is a cloud-based PaaS Ecosystem built with a privacy by design centric approach to provide a centralized cloud-based platform to store, classify, and control access to federated datasets in a scalable, secure, and efficient manner.

The ecosystem will allow Customer Operating Units (medical device departments) to store federated data sets of varying sizes and formats and control access to those data sets through Data steward(s). Source data sets can be exposed to qualified use cases and workflows through different project types.

The Healthcare Data Platform ecosystem will provide ML/AI project capabilities for streamlined development processes and a ML/AI workbench to enhance data exploration, wrangling, and model training.

In queue: 15+ OU’s. At this moment focused on – Nuero, Cardio, Diabetes is the OU that data platform is working with, but there could be more OU’s coming up with requirements in future.

GL Role: is to work on the enhancement of current capabilities, including taking over the work that AWS proserve team is doing, and develop new requirements that will keep coming from different OU’s in the future.

Requirements

• AWS Platform: Working experience with AWS data technologies, including S3, AWS RDS, and Lake Formation
• Programming Languages: Strong programming skills in Python
• Data Formats: Experience with JSON, XML, and other relevant data formats
• CI/CD Tools: Ability to deploy using established CI/CD pipelines using GitLab CI, Jenkins, Terraform or similar tools
• Scripting and automation: experience in scripting languages such as Python, PowerShell, etc.
• Monitoring and Logging: Familiarity with monitoring & logging tools like CloudWatch, Splunk, ELK, Dynatrace, Prometheus
• Source Code Management: Expertise with GitLab
• Documentation: Experience with markdown and in particula,r Antora for creating technical documentation
• Previous Healthcare or Medical Device experience
• Experience implementing enterprise grade cyber security & privacy by design into software products
• Experience working in Digital Health software
• Experience developing global applications
• Strong understanding of SDLC;
• Experience with Agile methodologies
• Software estimation
• Experience leading software development teams onshore and offshore

Job responsibilities

• Implement data pipelines using AWS services such as AWS Glue, Lambda, Kinesis, etc
• Implement integrations between the data platform and systems such as Atlan, Trino/Starburst, etc
• Complete logging and monitoring tasks through AWS and Splunk toolsets
• Develop and maintain ETL processes to ingest, clean, transform and store healthcare data from various sources
• Optimize data storage solutions using Amazon S3, AWS RDS, Lake Formation and other AWS technologies.
• Document, configure, and maintain systems specifications that conform to defined architecture standards, address business requirements, and processes in the cloud development & engineering.
• Participate in planning of system and development deployment as well as responsible for meeting compliance and security standards.
• Actively identify system functionality or performance deficiencies, execute changes to existing systems, and test functionality of the system to correct deficiencies and maintain more effective data handling, data integrity, conversion, input/output requirements, and storage.
• Document testing and maintenance of system updates, modifications, and configurations.
• Leverage platform process expertise to assess if existing standard platform functionality will solve a business problem or customization solution would be required.
• Test the quality of a product and its ability to perform a task or solve a problems.
• Perform basic maintenance and performance optimization procedures in each of the primary operating systems.
• Ensure system implementation compliance with global & local regulatory and security standards (i.e. HIPAA, SOCII, ISO27001, etc…)

About Jakala 

We are Jakala — a data, AI and experience agency. Our team builds production-grade web applications and applied AI systems for enterprise clients in the healthcare and life sciences space. The work spans multi-agent LLM pipelines, retrieval-augmented generation, data connectors and the web applications that wrap them, delivered to clients who care deeply about accuracy, traceability and compliance.

We are looking for a Senior GenAI Developer focused on delivery — someone who turns a design into a working, reliable system and ships it. You'll be strong enough to take a small AI project or proof-of-concept and deliver it largely on your own, and equally comfortable working as part of a team on medium-to-large engagements. This is a hands-on senior individual-contributor role; the emphasis is on building.

How you'll work

You'll be part of a small agile pod working directly with the client — no layers in between. That means you hear the requirements first-hand, ask the questions yourself, show work in progress, and adjust as the client's thinking sharpens. It's a setup that suits people who like short feedback loops and a real say in what gets built, and who are curious enough about the client's world — how their business actually works, what their data means, what "correct" looks like to them — to build software that fits it.

What you’ll do 

• Build and ship. Develop production-grade web applications with AI integration — frontend, backend services and the APIs that connect them. Implement agent orchestration, RAG and semantic-search flows, document/data connectors, and the surrounding application logic.
• Work directly with the client. Take requirements straight from the client, clarify what's ambiguous, propose options where the ask is open-ended, and demo what you've built. Turn conversations into working software and keep the client's expectations and the state of the system in sync.
• Own delivery of smaller projects end to end. Take a PoC or small AI project from the agreed approach to a working, validated deliverable largely on your own — making sound implementation decisions as you go and flagging the ones that need input.
• Contribute on larger teams. On medium-to-large projects, own your part of the system, integrate cleanly with other engineers, and keep your components reliable. Participate in technical discussions and contribute to implementation decisions within an agreed architecture.
• Make AI systems reliable, not just demoable. Handle context windows, token and latency constraints, error and failure modes, and the accuracy/traceability requirements that matter in regulated work. Test what you build, including the behavior of the AI parts.
• Integrate and connect. Design and consume REST APIs, integrate third-party AI models and enterprise data sources (external APIs, document ingestion, SharePoint and similar), and wire up authentication where needed.
• Support the team. Review code, share patterns, and help teammates when needed.

What we’re looking for 

• Strong experience (5 years plus) building and shipping production software full-stack, with hands-on experience integrating LLMs into real applications (at least 1 year).
• Solid LLM engineering skills: RAG, embeddings and vector search, prompt-engineering patterns, and at least some exposure to multi-agent orchestration. You understand how to make an AI feature behave reliably, not just produce a good first demo.
• Backend: Python and/or Node.js.
• Frontend: React, Next.js and/or Vue (component design, state management).
• Data: SQL, NoSQL and vector databases.
• Good understanding of REST APIs, integration patterns, Git and branching workflows.
• Cloud familiarity with at least one major platform — AWS/Bedrock, GCP/Vertex AI or Azure/OpenAI — and the services that back AI workloads.
• Comfort working directly with clients: gathering requirements first-hand, asking the awkward clarifying question early, explaining technical trade-offs to a non-technical audience, and demoing your own work.
• Genuine interest in the client's domain — healthcare and life sciences here — and the willingness to learn enough of it to make good product decisions rather than waiting to be told exactly what to build.
• Ability to work independently and take ownership of a deliverable, while also collaborating well inside a small team.
• Effective usage of AI-assisted development tools (Claude, Cursor, Copilot and the like).
• Confident spoken and written English — you'll be in client calls and technical discussions directly, not through an intermediary.

Nice to have 

• Experience in regulated or compliance-heavy domains — healthcare, life sciences, finance — where audit trails and careful data handling matter.
• Experience working in agency, consulting or embedded-team setups where the client is in the room.
• Familiarity with evaluating LLM systems (accuracy checks, eval harnesses, regression sets).
• Unit and integration testing practices (Pytest, Vitest or similar).
• Infrastructure and delivery breadth: Terraform, Docker/containerisation, CI/CD.
• Experience with data-integration patterns: external APIs, scrapers, document ingestion, enterprise sources.

What you’ll get 

• Competitive compensation based on experience and skills. 
• 20 working days of paid vacation plus paid sick leave. 
• Health insurance package. 
• Coverage for courses, certifications and tech conferences. 
• Fully remote working environment with flexible hours and reasonable overlap for collaboration. 
• Long-term, varied projects with the chance to influence technical decisions, in a collaborative team with minimal bureaucracy. 

About working at Jakala 

At Jakala we value our talents and empower our people to express their full potential. People are at the heart of everything we do — a diverse, multifaceted blend of individuals with passion, ambition, and ideas for turning data into value. We give Jakalers a collaborative, supportive environment and the tools, opportunities, and benefits to maximize the impact of their work. 

“Together to get there” is our value proposition because we believe that sharing our abilities is our strength. If this role matches your experience and interests, we’d be glad to hear from you. 

You'll own design end-to-end — from problem to shipped UI. The role leans UI: visual craft is what sets the bar here. You'll work shoulder-to-shoulder with Head of Product and CTO on what to build and why.
And you'll do all of it with AI deeply embedded in your workflow — for content generation, prototyping, exploration, and production.

What you'll do

• Design end-to-end flows for the SkinnyRx app and web — onboarding, patient dashboards, intake, billing, content surfaces
• Generate and direct AI-produced content — product imagery, illustration, lifestyle photography, micro-animations, video — at a quality that feels intentional, not stock
• Prototype interactively — in Figma when you need precision, in code (via AI tools) when you need realism
• Partner with product, engineering, copy, and marketing on tight shipping cycles
  
  What we're looking for
• 5+ years in product design with a strong UI portfolio of shipped consumer work
• Deep, daily AI tooling across the workflow:
  • Imagery and video: Midjourney, Sora, Runway, Kling, Nano Banana
  • Code prototyping: Cursor, Claude Code, Codex
  • Production: Figma AI, MCP-based workflows
• Self-direction. You come back with options, not blockers
  
  Why join
• Fully remote, async-friendly, any timezone
• High ownership, weekly shipping
• Generous tooling budget — every AI subscription you need
• Comp scaled to your level