HYPR, the Identity Assurance Company, helps organizations create trust in the identity lifecycle.  We are a community of bold thinkers and energetic doers who imagined a brand new approach to identity security and, at the same time, are eliminating a pervasive and persistent 60-year old problem – the password. Since being founded in 2014, the company has grown to be the premium provider of authentication security to marquee brands around the globe and are quickly becoming the recognized leader in Identity Assurance. We are looking for exceptional people with the ambition and the will to positively change the world. If that sounds like you, join us on our mission to create a passwordless world and secure the identity lifecycle.

Your Role and Impact 

HYPR is looking for a Senior Software Engineer who thrives on challenges and is eager to contribute wherever the team needs them. In this role, you will design, develop, and maintain key product components while collaborating with peers and contributing as an individual contributor.

You'll work on HYPR's industry-leading security products, deployed at several Fortune 500 companies. These include:

• Identity verification solution
• Open Standards implementations of passwordless authentication to help customers build secure environments
• W3C-compliant authentication servers
• Next-generation application management and analytics

If you're passionate about security, scalable architectures and impactful engineering, HYPR will be a great fit for you

What you will do in this role

• Design, develop and deploy SaaS services and web front ends, with a focus on scalability and performance
• Own features end-to-end—from understanding requirements and designing solutions to deployment and production support
• Implement comprehensive automated testing at the component level and collaborate with SDET(s).
• Participate in on-call rotation, handling initial triage and escalating if not an SME
• Research new technologies and solutions to improve existing products and explore new directions

Who you are

• Self starter - able to dive into existing products and learn quickly in a fast, hands-on environment
• Team player - collaboration with team members, operations and support teams is critical
• Detail-oriented — takes pride in writing high-quality, maintainable code and following best practices.
• Security-minded — interested in the Cybersecurity domain; previous exposure or participation is a plus.
• Autonomous and accountable—takes ownership of work and drives it to completion. Actively assist in the production support aspects of you work as needed

Required Qualifications

Expert-Level

• Java SE 17+ and Spring
• Kubernetes or another container orchestration platform
• Cloud-first development experience (AWS, Azure or similar)
• Storage: relational and NoSQL (MySQL, Oracle, Dynamo, Redis or similar)

Strong

• Understanding of data structures, clean code, modularity, and design patterns
• Experience designing and scaling distributed services with high reliability, low latency, and clear SLA boundaries
• Comfortable working in complex authentication or identity flows involving multiple services
• Full-stack experience with React or a similar modern frontend framework
• Knowledge of various testing methodologies, including unit and integration testing

Preferred

• Interest in identity verification and authentication standards like OAuth, WebAuthn, PKI and similar
• Experience with computer vision, liveness detection or ML-assisted verification workflows
• Infra As Code (IAC) tool (Terraform, Helm, AWS Cloud formation)

Experience: 

10+ years of development designing, building and maintaining enterprise web based platform that serve over 100K users.  Can be SaaS or On premise.

Education:

BS/MS in computer science or software engineering field. 

What HYPR Offers: 

• All frontend and backend engineers are Senior, you’re joining a team of All Stars who consistently deliver the highest quality code and products in tight timelines
• An organization with a great work life balance. Many of our employees have families and responsibilities outside of the office that they are able to easily meet.
• Extreme product focus, at HYPR you’ll never be spinning your wheels on tasks that do not matter. Everything we develop is cutting edge and important.
• High levels of ownership. We understand that we are able to do our best work when we can bring insights together.
• An emphasis on collaboration and access to giants in the industry. We achieve our best because we employ the best.
• Our engineers use the latest frameworks and language iterations. Our marketing, sales, ops and more utilize the best and latest tools for innovation and scale.

Additional Information

• Full Time Opportunity: Yes
• The core meeting hours for this position are from 2:00 PM to 6:00 PM. Attendance is required for meetings scheduled between 2:00 PM and 6:00 PM. These meetings may be attended remotely via Zoom. Outside of these scheduled meetings, working hours are flexible. 
• This position is a hybrid role. Employees are required to work in the office a minimum of two days per week—specifically Tuesdays and Wednesdays. The remaining workdays offer flexible remote options.

As the premium provider of authentication security, HYPR is committed to preventing identity fraud by safely and accurately verifying the identities of our employees. Accordingly, all new employees are required to participate in an automated identity verification process, which includes document verification, location detection, and facial recognition, on their first day of employment with the Company.  To learn more about this identity verification process,  please contact peopleops@hypr.com.

At DBeaver, our team has a shared vision to integrate data into the routines and decision-making process of every individual. With a dedicated community of over 10 million active users worldwide who constantly inspire us, our open-source approach fuels innovation within. 

Today, DBeaver is the leading provider of cross-platform enterprise data and database software and we’re seeking a Product Marketing Manager to join our team. You will bridge the gap between internal product and go-to-market teams by owning the strategy on how we communicate our products and features. You'll become the expert on what DBeaver does, who it's for, and how it stands apart from the competition. 

Location: This role can be based remotely in the United States or Europe, or hybrid in our offices in Belgrade, Serbia, or Budapest, Hungary.

What You’ll Do:

• Understand and define how we strategically talk about DBeaver’s existing and future products and features: what they do, who they’re for, and why they’re different.
• Translate DBeaver’s technical details into clear, compelling narratives for different audiences.
• Work cross-functionally with engineering/product, marketing, sales, and customer success to ensure strong internal alignment and understanding of DBeaver’s value and differentiation.
• Help sales and marketing teams improve campaigns, collateral, and external messaging through internal education and alignment.

Your Impact: 

• Shape the voice of DBeaver in the global data market by defining and championing product differentiation that resonates with millions of users.
• Accelerate product adoption and customer success through strategic messaging that makes complex database technology accessible and valuable to diverse audiences.

What You Bring: 

We are open to two different types of candidates for this role:

Technical user or engineer who is seeking to transition into a marketing career. In this case, you are someone who has:

• Hands-on experience with relational databases or database management tools -- you know how they function, how users interact with databases, etc. 
• Strong writing skills -- you're empathetic to the needs of different personas and can translate technical concepts for both technical and non-technical audiences.
• You’ve been looking for a role that uses your technical knowledge, but adds a creative writing or marketing component beyond coding every day. 
• If this is you, we encourage you to drop a few sentences into your application or cover letter on why you’ve been seeking this type of career transition!

OR

Marketing or Product Marketing pro. In this case, you are someone who has:

• 2+ years of product marketing experience
• Proven experience quickly onboarding and understanding feature-rich, developer tool software products; or previous experience marketing for database or databases management tools.
• Demonstrated success with cross-team alignment, messaging, and enablement for supporting existing and future product/feature launches. 
• You're empathetic to the needs of different personas and can translate technical concepts for both technical and non-technical audiences.
• Analytical mindset, comfortable interpreting product metrics or market data
• Bonus Skills: Familiarity with open source ecosystems or products.

Skills Can Be Learned, But Passion Can't: Don't worry if your resume doesn't tick every box. In this role, we value a passion for databases, and strong writing or marketing skills. If you're a quick learner with the drive to succeed, we encourage you to apply.

About DBeaver:

DBeaver Corporation provides a full-featured data solution that easily adapts to users' needs, from open-source tools, to all-in-one enterprise software. Our mission is to make it possible for all kinds of people and organizations to leverage all kinds of data.  

We are committed to creating a diverse and inclusive workplace where everyone feels welcomed and valued. If you are looking for an opportunity to join a collaborative and supportive team, we invite you to apply today.

At DBeaver, our team has a shared vision to integrate data into the routines and decision-making process of every individual. With a dedicated community of over 10 million active users worldwide who constantly inspire us, our open-source approach fuels innovation within. 

Today, DBeaver is the leading provider of cross-platform enterprise data and database software and we’re seeking a Product Marketing Manager to join our team. You will bridge the gap between internal product and go-to-market teams by owning the strategy on how we communicate our products and features. You'll become the expert on what DBeaver does, who it's for, and how it stands apart from the competition. 

Location: This role can be based remotely in the United States or Europe, or hybrid in our offices in Belgrade, Serbia, or Budapest, Hungary.

What You’ll Do:

• Understand and define how we strategically talk about DBeaver’s existing and future products and features: what they do, who they’re for, and why they’re different.
• Translate DBeaver’s technical details into clear, compelling narratives for different audiences.
• Work cross-functionally with engineering/product, marketing, sales, and customer success to ensure strong internal alignment and understanding of DBeaver’s value and differentiation.
• Help sales and marketing teams improve campaigns, collateral, and external messaging through internal education and alignment.

Your Impact: 

• Shape the voice of DBeaver in the global data market by defining and championing product differentiation that resonates with millions of users.
• Accelerate product adoption and customer success through strategic messaging that makes complex database technology accessible and valuable to diverse audiences.

What You Bring: 

We are open to two different types of candidates for this role:

Technical user or engineer who is seeking to transition into a marketing career. In this case, you are someone who has:

• Hands-on experience with relational databases or database management tools -- you know how they function, how users interact with databases, etc. 
• Strong writing skills -- you're empathetic to the needs of different personas and can translate technical concepts for both technical and non-technical audiences.
• You’ve been looking for a role that uses your technical knowledge, but adds a creative writing or marketing component beyond coding every day. 
• If this is you, we encourage you to drop a few sentences into your application or cover letter on why you’ve been seeking this type of career transition!

OR

Marketing or Product Marketing pro. In this case, you are someone who has:

• 2+ years of product marketing experience
• Proven experience quickly onboarding and understanding feature-rich, developer tool software products; or previous experience marketing for database or databases management tools.
• Demonstrated success with cross-team alignment, messaging, and enablement for supporting existing and future product/feature launches. 
• You're empathetic to the needs of different personas and can translate technical concepts for both technical and non-technical audiences.
• Analytical mindset, comfortable interpreting product metrics or market data
• Bonus Skills: Familiarity with open source ecosystems or products.

Skills Can Be Learned, But Passion Can't: Don't worry if your resume doesn't tick every box. In this role, we value a passion for databases, and strong writing or marketing skills. If you're a quick learner with the drive to succeed, we encourage you to apply.

About DBeaver:

DBeaver Corporation provides a full-featured data solution that easily adapts to users' needs, from open-source tools, to all-in-one enterprise software. Our mission is to make it possible for all kinds of people and organizations to leverage all kinds of data.  

We are committed to creating a diverse and inclusive workplace where everyone feels welcomed and valued. If you are looking for an opportunity to join a collaborative and supportive team, we invite you to apply today.

Highlights:

Role: Senior ML-Engineer, Finance

Location: Serbia, Remote

Language: Strong English required (C1)

About Us

Fundraise Up is a modern fundraising platform built to make donating to nonprofits as fast and convenient as possible. We continuously innovate to reduce page load times, boost conversion rates, and support a wide range of payment methods. Each month, people around the world contribute tens of millions of dollars through our platform.

The world’s leading nonprofit organizations trust Fundraise Up. UNICEF, the most prominent UN charity, uses our platform for 100% of its online fundraising. So does the American Heart Association, the Alzheimer’s Association, and many others. We’re proud to maintain a 4.9 out of 5 rating on leading review platforms.

We serve the enterprise segment, with a primary client base in the US, Canada, UK, and Australia.

The Team

Our product development team is currently at 150+ and growing. Team members are located across Spain, Serbia, Poland, Portugal, Turkey, Cyprus, Georgia and Armenia. We primarily communicate in Russian.

We’re a tight-knit, high-impact team where every task matters. It’s a dynamic, collaborative environment where smart, curious engineers support one another, share knowledge, and strive for excellence. We encourage open dialogue and host bi-weekly engineering meetups to explore technical topics and showcase team insights.

About the Role

We're looking for an ML Engineer with 5+ years of production experience to own a high-impact client intelligence initiative. Following a successful proof-of-concept with an external consultant, we are bringing this project fully in-house. The ultimate goal is to generate a comprehensive, enriched list of all potential clients globally — understanding their product requirements, industry verticals, and overall revenue potential — and deploy a scoring model that feeds directly into our sales pipeline.

This is an end-to-end ownership role. You will build from the ground up: data collection, enrichment, modeling, and production deployment. The project is co-managed by company executives and has a high strategic value.

What You’ll Do

• Build a market intelligence data-base via collecting different types of data (scraping, enrichment), fixing data pipeline and creating an ML model for scoring and analysis of the raw data.
• Design and operate scrapers to extract key signals from nonprofit websites, including products used, payment tools, and industry vertical indicators.
• Develop critical filters such as an "Is this website for fundraising?" binary classifier, alongside other features that distinguish high-potential prospects.
• Source and integrate financial data from international nonprofit registries, as well as third-party signals from SimilarWeb and Facebook.
• Store and structure the enriched dataset in our internal database, making it accessible and useful across the broader team for research and analysis.
• Work closely with the sales team to understand their qualification criteria. Analyze disqualified accounts in Salesforce to identify common exclusion patterns and refine scoring accordingly.
• Deploy the scoring model and own the process of integrating outputs into Salesforce in a clean, maintainable way.
• Build a scraper to monitor existing clients' websites, tracking whether Fundraise Up tools are correctly implemented across their properties.

Challenges You'll Navigate

• At the scale of ~1 million domains, expect domain duplicates, inconsistent data, and significant noise. You'll need to develop robust, cost-efficient filtering pipelines.
• A single model won't cover everything — you'll likely build several targeted sub-models tailored to specific verticals and geographies as the project matures.
• All of this needs to be accomplished without incurring high infrastructure or data costs. Pragmatic, scrappy solutions are valued here.

Requirements

• 5+ years of ML/DS experience solving real product problems
• Strong expertise in ML and mathematical statistics: solid knowledge of classical algorithms (especially gradient boosting) and understanding of modern NLP/LLM approaches
• Proven experience with large-scale web scraping and data pipeline construction
• Metrics-driven mindset: ability to connect ML metrics (ROC-AUC, F1, RMSE) with business metrics (conversion rate, LTV)
• Strong engineering culture: confident in Python with a product-oriented approach; we value clean code, knowledge of design patterns, and solid engineering practices
• Advanced SQL; ability to independently build complex datasets in ClickHouse and work with MongoDB
• MLOps understanding: hands-on experience with experiment tracking and production workflows (Docker, Git, CI/CD)
• Autonomy: ability to break down ambiguous problems, choose the right tech stack, and deliver to production

Our Tech Stack

Core: Python (uv, ruff), FastAPI, Pydantic, Docker

Models: CatBoost, Uplift Modeling (CausalML), OpenAI (RAG, Prompt-Engineering)

Data: ClickHouse, MongoDB, pandas, Polars, Redis

MLOps: MLflow, Airflow

Monitoring: Grafana, Sentry

Infra: linux server admin, distributed computation

Bonus points

• Curiosity and a hypothesis-driven mindset
• Ability to communicate complex analytical concepts to non-technical audiences
• Detail-oriented with a strong sense of ownership
• Comfort working in fast-paced, data-rich environments

Why work with us

• A strong, collaborative product team that owns what it builds
• Clear product vision and access to real customer feedback from global nonprofit leaders
• Flat structure: no politics, just great work with great people
• Transparent company culture-we share how we’re growing, where revenue comes from, and what’s next
• Long-term focus: we offer equity options and value sustained, meaningful contribution

Benefits

• Private medical insurance for the employee and their family
• 20 paid vacation days per year
• 15 paid public holidays per year
• 5 company-paid sick leave days
• English learning courses
• Relevant professional education
• Gym or swimming pool
• Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace
• Co-working
• Remote working

_{**Please note: All official correspondence from Fundraise Up will exclusively originate from the @fundraiseup.com domain. Exercise caution and ensure the authenticity of emails claiming to be from our company.}

Gambling.com Group (Nasdaq: GAMB) is a multi-award winning provider of marketing and sports data services looking for exceptional talent interested in the fast-paced, high-growth online gambling industry. The company operates a portfolio of renowned websites and brands – including flagship site Gambling.com and sports betting site Bookies.com as well as iGaming-focused sites Casinos.com, BonusFinder.com and Freebets.com.

In addition to its marketing operations, Gambling.com Group provides sports data services through consumer subscription platforms like OddsJam and RotoWire, along with B2B services through OpticOdds. These offerings deliver real-time data, actionable insights, and technology driven tools to both consumers and enterprise partners.

As the first and only online gambling affiliate publicly traded in the U.S., Gambling.com Group has earned recognition as a leader in its field – most recently winning Affiliate of the Year at the 2025 EGR Operator Awards.

Are you ready to take the next step in your career?

Functions and Scope

This is an AI engineering role embedded in a commercial function. The primary output of this role is agents and automated workflows — built, owned, and iterated on by you. Commercial knowledge informs what gets built. The building is the job.

Commercial Operations & Optimisation

• Support the commercial function in commercially optimising vertical site performance to drive revenue across all channels — doing so primarily by identifying where AI agents and automated workflows can replace or accelerate manual commercial processes, and then building them.
• Act as the primary operational owner of commercial operational processes across all verticals,which in practice means owning the AI and automation layer that powers those processes, not just the processes themselves.
• Conduct ongoing competitor analysis, develop new commercial process and agentic workflow ideas, and collaborate with product and marketing teams to drive operational improvements,using AI tooling to run analysis at scale, generate workflow concepts, and prototype solutions faster than traditional approaches allow.
• Collaborate with commercial leadership to set, manage, and monitor BAU processes, KPIs, and OKRs across the commercial operations function,building AI-assisted reporting and monitoring infrastructure so that performance visibility is automated, not manual.
• Leverage AI to enhance internal software and tooling to build effective, transparent internal processes across commercial operations,this is not a peripheral responsibility, it is the core mechanism through which this role delivers value. You are expected to be actively building, not just recommending.

Workflow Architecture & Process Design

• Identify inefficiencies and bottlenecks across commercial operations and design structured solutions,your default answer to an inefficiency is an agent or an automated workflow, with manual process redesign as the fallback where automation is not yet viable.
• Own the design and deployment of operational workflows that reduce manual effort and improve output quality and consistency across the commercial team ,from initial architecture through to live deployment, with measurable reduction in human effort as the success metric.
• Develop and maintain playbooks and performance standards for all commercial workflows, including documentation of how each AI agent or automated workflow is expected to behave, what good output looks like, and where human review is required.
• Coordinate with sales and commercial leadership on operational prioritisation and workflow sequencing,translating commercial priorities into a build roadmap for agents and automations, and managing that roadmap actively.

Agent & Automation Development

This is the core of the role. You will be building AI agents. Not scoping them for others to build, not advising on them, not reviewing them after the fact — designing, building, deploying, and iterating on them yourself, end to end. If you have not built and shipped an AI agent in a professional context, this role is not the right fit.

• Lead the identification and scoping of agentic automation opportunities across commercial operations,this means proactively finding problems worth solving with AI, not waiting to be briefed. You are expected to surface opportunities, make the case for them, and own the build.
• Own and build the full development lifecycle for commercial agents across all commercial operations,from problem definition and workflow brief through to prompt architecture, tool integration, testing, deployment, and post-launch iteration. You are the builder, not the commissioner.
• Ensure quality, accuracy, and commercial alignment of all automated outputs, establishing QA standards and performance benchmarks for every agent you deploy, and holding yourself accountable for what those agents produce at scale.
• Iterate on agent performance post-deployment based on commercial data, stakeholder feedback, and operational signals,treating deployed agents as live products that require ongoing maintenance and improvement, not finished projects.

Quality Assurance & Reporting

• Establish and oversee QA processes across all commercial operations workflows,including designing the human review layer that sits alongside AI-driven outputs, defining what requires sign-off before going live, and building the infrastructure to enforce that consistently.
• Generate, analyse, and present operational KPI reports to senior stakeholders,using AI-assisted tooling to automate data aggregation and surface anomalies, so that your contribution at the reporting layer is insight and recommendation, not manual data pulling.
• Monitor workflow and agent performance, surfacing actionable recommendations to commercial leadership on a regular basis, including honest assessment of where agents are underperforming, where outputs are drifting from expected standards, and what needs to be rebuilt or retired.
• Operate as the internal expert on AI-enabled tools including Claude, Lovable, and others,not as a power user, but as the person who understands these platforms deeply enough to build production-grade commercial workflows on top of them, apply rigorous judgement to their outputs, and teach others how to work alongside them effectively.

Key requirements

Essential experience

• Experience in a commercial operations, revenue operations, or similar ops role,ideally within a digital media, affiliate, or multi-vertical online business
• You have built AI agents and shipped them into a live production environment,this is the baseline requirement for this role, not an aspiration. If your experience is limited to using AI tools, prompting chatbots, or working within workflows someone else built, this role is likely beyond where you are right now
• Demonstrable, end-to-end ownership of the agent development lifecycle, from identifying the commercial problem, writing the workflow brief, designing the prompt architecture, integrating tools, testing, deploying, and iterating post-launch. You were the builder, not the person who commissioned or reviewed someone else's build
• Experience with AI platforms and tools such as Claude, Lovable, n8n, or equivalent, with specific, named examples of what you built on them, what it did, and how you measured whether it was working
• Track record of designing and documenting operational processes, playbooks, and performance standards,including documentation of how agents are expected to behave, what good output looks like, and where human review is required
• Experience establishing QA frameworks for AI-generated or automated outputs, setting performance benchmarks, monitoring for drift or failure, and iterating on agent behaviour based on real-world results
• Comfortable owning and reporting on KPIs and OKRs, with experience building automated reporting infrastructure rather than pulling data manually

You must be able to demonstrate, with specific examples, that you have:

• Built and deployed at least one AI agent in a professional context and can walk through exactly what it did, how you built it, where it failed, and what you did to fix it
• Designed prompt architecture for a production workflow,not just written prompts, but structured them as part of a repeatable, scalable agent build
• Integrated AI agents with external tools, platforms, or data sources as part of a live commercial or operational workflow
• Identified a commercial or operational problem, translated it into an agent build brief, built the solution yourself, and measured the outcome
• Established and enforced QA standards for automated outputs, including defining what human review is required and building the process to ensure it happens consistently
• Iterated on a deployed agent based on performance data or stakeholder feedback, treating it as a live product, not a finished project

Candidates who cannot provide concrete, specific examples of building and shipping agents will not progress past the application stage. This is a builder role,your portfolio of what you have built is the application.

Skills & capabilities

• Prompt architecture and agent design,able to structure AI instructions for production-grade reliability, not just one-off outputs
• Tool integration,comfortable connecting AI agents to external platforms, APIs, data sources, and internal tooling as part of a live workflow build
• Commercial judgement,able to prioritise build decisions based on revenue impact and business context, identifying which automation opportunities are worth the investment
• Process design instinct,able to map a commercial problem, identify the automation opportunity within it, and design a structured agent-based solution
• Strong cross-functional communication,able to translate between commercial stakeholders who define the problem and technical counterparts who support the infrastructure
• Rigorous approach to AI output review ,understanding that what an agent produces at scale is your responsibility, and building QA into every deployment accordingly

Behaviours we're looking for

• You have shipped things,your instinct is to build a working version, get it into a live environment, and improve it from there rather than designing indefinitely
• You treat deployed agents as live products,you monitor them, catch when they drift, and fix them without being asked
• You apply structured commercial thinking to what you build,you're not building for technical elegance, you're building to remove manual effort and drive revenue outcomes
• You are honest about the limits of what you've built,you know where your agents are reliable and where they require human oversight, and you design for that honestly
• You communicate proactively with commercial leadership when something isn't working, an underperforming agent that goes unreported is a failure of this role, not just a technical issue

Nice to have

• Experience in the affiliate, igaming, media, or performance marketing sectors
• Familiarity with competitor analysis methodologies in a commercial context
• Exposure to product or engineering teams in a workflow or tooling capacity
• Experience building agents that operate across multiple tools or platforms simultaneously,multi-step, multi-tool agent architectures rather than single-task automations

A note for applicants: If your experience with AI is limited to using consumer tools, prompting chatbots, or working within workflows someone else built, this role is likely a step beyond where you are right now. We are looking for someone who has built agents, shipped them into a live environment, watched them fail, fixed them, and made them better. That experience is the baseline, not the ceiling

Perks & Benefits

• Comprehensive private Healthcare Insurance
• Flexible work environment and home office available
• Home office allowance
• Gym & Leisure Allowance
• All the hardware and software you need to be successful
• Regular company events and social outings, activities, Spot Awards and a Monthly Social Club
• Access to courses for Personal and Career Development
• Company Paid Volunteer Day

At JetBrains, code is our passion. Ever since we started, back in 2000, we have been striving to make the most effective developer tools on earth. Our tools speed up production by automating routine checks and corrections, freeing developers to grow, discover, and create.

The Business Applications Development team is a vital integrational hub within JetBrains. We are focused on supporting businesses by automating sales flow and license management, as well as by developing other internal and external services. We ensure the completeness, continuity, and high quality of JetBrains’ sales and licensing processes. Our solutions are a family of web applications written mostly in Kotlin.

We are currently looking for a Senior QA Engineer to join the team and support our efforts.

As part of our team, you will: 

• Design, improve, and execute test scenarios for new and existing functionalities.
• Use an exploratory testing approach on a daily basis.
• Investigate, identify, and reproduce complex issues reported by users.
• Participate in discussions about new projects and review feature requirements.
• Communicate closely with your teammates and other teams to find optimal solutions.

We’ll be happy to have you on our team if you: 

• Have at least 3 years (preferred) of experience in web applications or SaaS testing (white box).
• Have good knowledge of browser tools such as DevTools, Postman, and various code sniffers.
• Can read and write code in Java/Kotlin.
• Are comfortable writing complex SQL queries to get the data you need.
• Strive to clearly understand the architecture of the applications you test.
• Understand web application security mechanisms.
• Are capable of working with different processes and in varied environments.
• Are open to other points of view and can reasonably defend your own.
• Adhere to the principle that decisions should be based on facts.

We’ll be especially thrilled if you: 

• Have a basic understanding of containerization principles.
• Can easily use *nix command tools like man, grep, find, sed, netstat, and awk

#LI-DNI

We're building an AI copilot for web testing automation. It enables manual and automation QA engineers to turn their manual testing flows into production-ready automated E2E testing scripts, saving hours of manual work and coding. We are a small team with zero bureaucracy, focusing on real users. We optimize for shipping value - not hype.

About the role:

You'll own the top of the funnel: outbound, qualification, and getting leads to sit down for a conversation. Demos, onboarding, and retention are staying with the founder for now.

Phase one: Get individual Automation QAs to try the product, aiming for fast adoption and no procurement. Once we hit 20+ weekly users, we’ll move on to phase two, where we’ll shift the focus to B2B – qualified meetings with QA Leads and Engineering Managers.

Your focus in the first three months:

• Build targeted lists: Automation QAs at companies with web products and Playwright, Cypress, or Selenium in their stack.
• Run outbound sequences (LinkedIn is the baseline, but you decide the channels). A/B test weekly.
• Design qualification gates (forms and scoring) to filter leads before the founder calls.
• Reach 20+ weekly active users after month one – ICP-qualified and giving direct feedback to engineering.
• Document what works into a repeatable playbook.

Growth path:

This role expands as your strategies deliver results. Once the user pipeline works, you can take over demos and run B2B sales end to end. From there, the natural next step is Growth Lead (funnel optimization and scaling the playbook) or Account Executive (owning deal execution).

Why to join:

• You'll be building a strategy that scales the product, not filling a quota. What you create from scratch becomes the foundation.
• Your outreach turns into users who talk directly to engineering, and their feedback ships as features within days.
• AI for developer tools is a market with real pull, and QA automation is one of its sharpest pain points.
• We’re backed by JetBrains – financially secure with no reliance on external VC funding.

Who we're looking for:

You should have a high level of agency and be quant-minded – you live in funnel metrics, run experiments, and are comfortable saying "no" to leads that are a bad fit. 

The ideal candidate will:

• Have done 0-to-1 outbound for an early-stage devtool, QA tool, infrastructure product, or similar.
• Have proven cold outbound results, instead of being dependent on warm inbound.
• Be able to talk credibly about flaky tests, CI pain, and Playwright vs. Cypress. You don't need to be an engineer, but you do need domain empathy.
• Possess strong written communication skills, with the ability to craft short, sharp messages that get replies.

Nice to have:

• A QA or SDET background – you've felt the pain yourself before moving to sales or BD.
• Exposure to security/compliance objections – enough to pre-empt and route.
• Content skills – your LinkedIn posts get engagement, not just your DMs.
• Experience as one of the first 10 employees at a startup.

#LI-REMOTE 
#LI-KT1

We are looking for a Pricing Engineer who will strengthen our Sales team. The role requires extensive practical experience as a CNC Technologist. Projects are mainly international, therefore knowledge of written technical and, to a sufficient extent, business English is a must. You must be competent to read ISO standardized drawings in English and communicate directly in writing with the customer to clarify unclear technical requirements.

Functional responsibilities:

• Analysis of incoming drawings / CAD models in English / German;
• Calculation of production costs (materials + machine hours + post-processing);
• Providing process recommendations (if necessary);
• Formalizing the results of calculations and transferring them to colleagues from the commercial department;
• The main criterion for evaluating an employee in this position: quality and efficiency of processing incoming requests (ideally within 1-2 working hours after receipt);
• Systematization of their work, participation in setting tasks to automate processes.

Requirements for applicants:

• Graduate engineering degree - Metalworking Process Engineer, Design Engineer or similar;
• 5+ years of experience in metalworking / mechanical engineering;
• Expert knowledge of various metalworking methods: turning, milling, CNC machining, electrical discharge machining, sheet metal working - laser, waterjet, plasma cutting, welding;
• Knowledge of various metal post-processes: polishing, hardening, heat treatment, anodizing, sanding/blasting, coatings, painting, etc.;
• Knowledge of different construction materials and their processing properties: metals, plastics, composite materials;
• Good knowledge of English for reading drawings. If there was experience in reading drawings in German - a big plus;
• IT enthusiast, ready to master and use modern technologies and software;
• Willingness and desire to work in a fast-growing business atmosphere.

We offer:

• Remote full-time job.
• Working hours - CET (Monday to Friday).
• Fixed rate depending on the career level.
• Significant annual bonus.
• Overtime hours are possible for this position.
• Corporate Laptop.
• Free corporate language courses.
• Service agreement.
• Team spirit and friendly atmosphere: we work in an open, friendly and trusting environment that welcomes initiative. In the Xometry team, everyone is ready to help and support in difficult times, and we always celebrate victories together and appreciate the contribution of everyone.
• Development opportunities: we are a fast growing company, each new task is an interesting challenge for the team.
• We care: ongoing free of charge well-being activities for our people, charity projects worldwide.
• Flexibility: speed and flexibility are some of our advantages, allowing us to achieve amazing results. We have flexible processes and planning, we can respond to rapidly changing conditions and remain effective in the face of uncertainty.
• Onboarding: well structured onboarding plan for new employees combining all in one process, technology, and systems components.

#LI-Remote