Benefits:

• Be a foundational team member—shape Superlinked’s future.

• Own a deeply technical product at the intersection of AI, search, and developer experience.

• Competitive salary + equity—build something meaningful with high upside.

• Hybrid Budapest-based role—we are remote-first, working 1 day a week from our office in central Budapest (Create26), with additional hubs in San Francisco, Budapest and Tel Aviv

• Collaborative, transparent, and inclusive company culture.

Experience Requirements:

• 5+ years of experience in infrastructure development and cloud engineering.

• Strong Kotlin/Java skills, with the ability to contribute to a greenfield project.

• Experience with Google Cloud Platform (GCP) and its SDKs, with hands-on knowledge of cloud automation.

• Familiarity with CDKTF (Kotlin), Terraform, infrastructure-as-code best practices.

• Understanding of CI/CD pipelines, particularly GitHub Actions, and best practices for maintaining developer workflows.

Other Requirements:

• Excellent troubleshooting skills and the ability to support teams with infrastructure-related challenges.

• Comfortable working in a startup environment, with a proactive approach to problem-solving.

• Experience managing public-facing websites, DNS, and security configurations.

• Read and write Python for development and developer support.

• Linux and Mac administration experience.

• Background in networking, firewalls and cloud security best practices.

• Knowledge of DevOps methodologies and developer productivity tools.

• Previous experience supporting AI/ML infrastructure.

Responsibilities:

• Manage the onboard to a Kotlin-based GCP control plane, leveraging Dagger 2, Javalin, and GCP Java SDK.

• Implement core business logic and GCP abstractions, ensuring robust and scalable infrastructure services.

• Develop a Python SDK/CLI in parallel to the core infrastructure, demonstrating language-agnostic problem-solving skills.

• Manage GCP infrastructure configurations using CDKTF (Kotlin).

• Provide Linux and Mac support across internal systems and developer environments.

Education Requirements:

• Bachelor’s degree in Computer Science or a related field

• Master’s a plus

Experience Requirements:

• 5+ years of professional backend development

• at least 3 years in Node.js

• Production experience with SQL databases (MySQL or PostgreSQL) and query optimisation

Other Requirements:

• Strong grasp of asynchronous programming, event-driven architecture, and REST API/GRPC design

• Solid understanding of design patterns, SOLID principles, and clean architecture

• Proficiency with Git and collaborative workflows (PRs, code reviews)

• Comfortable working in Linux/Bash environments

• Advanced written and spoken English

Responsibilities:

• Design & build scalable, fault-tolerant backend services in Node.js/Python

• Architect, debug, and optimize microservices that power our AI-driven website generation, content creation, and optimization engines

• Write clean, testable code that follows SOLID principles and established design patterns

• Own quality—add unit/-integration tests, set up CI pipelines, review peer code, and improve performance and security

• Maintain & enhance existing systems, refactor legacy components, and migrate services when needed

Education Requirements:

• Bachelor’s degree in Computer Science, Engineering, or a related field

Experience Requirements:

• At least 3 years of direct experience with test automation

• Previous experience as a senior or lead QA is a plus

• Strong knowledge of programming languages (Python, Java, JavaScript)

• Hands-on experience with automation tools like Selenium

• Familiarity with SQL for data-driven tests

Other Requirements:

• Experience setting up automated testing in CI/CD pipelines and using version control systems (e.g., GitLab)

• Experience with API testing tools (Postman, Swagger)

• Understanding of Agile methods (Scrum, Kanban)

• Good knowledge of the software development and testing lifecycles

• Proven ability to create, maintain, and run automated test cases carefully

Responsibilities:

• Create, improve, and maintain reliable test automation frameworks

• Add automated tests to our CI/CD pipelines to get fast and clear feedback on product quality

• Work with product managers, designers, and developers to set goals and define requirements

• Lead test processes for big, complex projects, making sure the whole team shares knowledge and best practices

• Plan and run detailed test strategies, including automated regression testing, based on project needs

Education Requirements:

• Bachelor’s degree in Computer Science, Engineering, or a related field

Experience Requirements:

• 2+ years of experience as a Software QA Engineer

• Hands-on experience with test automation tools and frameworks will be considered as a plus (e.g., Selenium, Cypress)

• Familiarity with SQL, databases, and data-driven automated testing will be considered as a plus

• Familiarity with integrating testing into CI/CD pipelines, experience with version control systems, such as Gitlab

• Experience with API testing with Postman, Swagger, or a relevant software

Other Requirements:

• Excellent written and verbal English language communication skills

• In-depth knowledge of software development life cycle and software testing life cycle

• Strong analytical skills to identify and address complex issues

• Proven ability to troubleshoot, debug, and document software defects

• Familiarity with web programming and scripting languages (Python, PHP, JavaScript)

Responsibilities:

• Collaborate with cross-functional teams to understand project goals and requirements

• Develop and implement comprehensive test plans and regression test suites based on project specifications and requirements

• Create detailed, well-structured test cases that cover all aspects of the software under test

• Identify, document, and track product defects through their lifecycle, implement regression testing where necessary

• Identify and assess risks related to software quality and work to mitigate those risks

Benefits:

• Competitive base salary with performance-based bonus

• Equity participation for long-term impact

• Comprehensive health coverage

• Wellness reimbursement

• paid time off

Experience Requirements:

• 5+ years in B2B business development or enterprise sales, ideally within SaaS or related tech sectors

• Strong record of closing complex, high-value B2B deals within SaaS or related tech sectors

• Expertise in market segmentation, partner development, and strategic account management

• Experience scaling a new business line from inception to meaningful revenue

• Proven experience leading go-to-market (GTM) strategy initiatives

Other Requirements:

• Executive-level negotiation, communication, and presentation abilities

• Native or fluent English—excellent written and spoken communication

• Data-driven mindset with a talent for converting insights into actionable plans

• Proven ability to influence cross-functional teams and align Product, Marketing, and RevOps around shared goals

• Proficiency with modern CRM (HubSpot preferred) and sales-automation tools

Responsibilities:

• Build and manage the entire pipeline of high-value B2B opportunities across agencies, hosting providers, vertical and horizontal SaaS platforms, and marketplaces

• Lead every stage from prospecting and solution mapping to negotiation and close

• Define ideal customer profiles, craft partner/channel approaches, and design market-entry and expansion strategies

• Act as executive sponsor for strategic customers, driving retention, upsell, and long-term partnerships

• Gather market feedback and translate it into product requirements and GTM refinements

Experience Requirements:

• 3+ years of experience in UI/UX design with a focus on creating impactful digital products

Other Requirements:

• Proficient with Figma, with experience using Sketch

• Solid knowledge of Photoshop and Illustrator

• Excellent analytical and problem-solving skills with a user-centered design approach

• Familiarity with HTML and CSS fundamentals to communicate effectively with developers

• Fluent in English, both written and verbal

Responsibilities:

• Knowledge of design systems to keep products consistent and easy to expand

• Simple, user-friendly, and effective software that matches the product vision and business goals

• High-quality designs with careful attention to detail

• Balance between user needs, product requirements, and brand goals to create clear and enjoyable experiences

• Research, testing, and feedback collection with the product management team

Education Requirements:

• Bachelor’s Degree in Computer Science, Business, or a related field

Experience Requirements:

• 2+ Years of Product Management Experience, with a track record of shipping and evolving digital products

• Full Lifecycle Ownership: Proven ability to manage products from concept through execution, launch, and optimization

• Experience with AI-Driven Products: Familiarity with AI/ML product development cycles, prompt design, or collaborating with data science teams is a strong plus

Other Requirements:

• Technical Fluency: Solid understanding of web technologies, including their potential and constraints

• Strong Communicator: Excellent verbal and written communication skills, with the ability to bridge technical and non-technical teams effectively

Responsibilities:

• Lead End-to-End Product Development: Shape the full lifecycle of product features—from discovery and planning to launch and iteration

• Optimize User Journeys: Continuously assess and enhance user flows to support growth, activation, retention, and overall satisfaction

• Identify and Propose Enhancements: Use product data, user feedback, and market research to suggest impactful improvements and new features

• Prioritize Initiatives Strategically: Collaborate with design, engineering, and marketing teams to prioritize work and define timelines that align with business goals

• Monitor Market Trends: Stay on top of competitor strategies and industry developments to inform product positioning and innovation

Experience Requirements:

• Over 5 years of experience in product design, with a strong portfolio showcasing impactful and user-focused work

• Proven ability to work independently, demonstrating ownership and accountability in delivering successful projects

Other Requirements:

• Strong analytical skills for breaking down complex challenges and creating elegant design solutions

• Comprehensive understanding of complex products and the ability to align designs with functionality and user needs

• Adaptability and a proactive mindset for thriving in dynamic, fast-paced environments

• Expertise in design tools such as Figma, Photoshop, and Illustrator, with familiarity in Sketch

• Knowledge of HTML/CSS to ensure effective collaboration with development teams

Responsibilities:

• Evolution and scalability of design systems for consistency across all products

• Ownership of design projects from concept to execution with minimal guidance

• Own the end-to-end design process, from research to final delivery

• Collaborate independently with product managers to set priorities, scope and ensure alignment with minimal guidance

• In-depth knowledge of products, functionality, and user needs to create intuitive experiences

Benefits:

• Competitive Compensation

• Comprehensive benefits package

• Work-Life Balance

• Growth Opportunities

• Collaborative Culture

Education Requirements:

• Bachelor ’s degree in accounting, finance, or a related field

Experience Requirements:

• 1-3 years of experience in the field of accounting, ideally with a technology or professional services company

• This experience can include relevant internships

• Prior public accounting experience is a plus

Other Requirements:

• Solid computer skills, including advanced proficiency with Excel

• Strong understanding of US GAAP and hands-on experience with month-end close processes, journal entries, and reconciliations

• Must be detail-oriented, have strong analytical and problem-solving skills, be able to multitask, and have confident interpersonal skills

• Proactive problem-solver who ’s curious and thrives in fast-paced, hybrid environments

• Excellent written and verbal communication skills; ability to collaborate with teams and external partners

• CPA is a plus

Responsibilities:

• Month-end close process in NetSuite, including preparing journal entries, reconciliations, and monthly financial statements for our US and UK operations

• Oversee employee time reporting and analysis

• Responsible for Accounts Payable and Accounts Receivable processes: vendor invoicing/payments, customer billing, and expense reimbursements

• Prepare and file VAT (UK) and state sales tax (US) filings. Be a liaison to our external tax advisors

• Responsible for payroll processing via a third-party processor and benefits administration in the US and UK, including resolving state tax filing issues and annual 401 (k) compliance

Experience Requirements:

• 10+ Years of overall IT experience, with minimum of 5+ years in designing, developing, deploying, and operationalizing AI/ML solutions.

• Minimum 2–3 years of experience in architecting end-to-end AI/ML solutions, including design, implementation, and production deployment.

• Proven experience in GenAI, LLMs, RAG architecture, prompt engineering, and orchestration tools like LangChain, LlamaIndex, etc.

• Hands-on with vector databases (e.g., Pinecone, FAISS, Elasticsearch) and unstructured data retrieval.

• Deep knowledge of Machine Learning and Deep Learning algorithms: CNNs, RNNs, LSTMs, Transformers, etc.

Other Requirements:

• Excellent communication, leadership, and stakeholder management skills.

• Certification in AWS/GCP or ML specializations.

• Experience in leading large-scale AI transformation programs.

Responsibilities:

• Interact with clients and stakeholders to gather business and technical requirements and translate them into scalable AI/ML solutions.

• Architect and design AI/ML systems across AWS, GCP, or Azure with a strong focus on cloud-native and cost-optimized architecture.

• Lead the design and implementation of Generative AI solutions using LLMs, LangChain, LlamaIndex, Prompt Engineering, and vector databases such as Pinecone, FAISS, Weaviate, or Elasticsearch.

• Implement prompt orchestration, retrieval optimization, and grounding techniques to enhance LLM output accuracy and relevance.

• Guide the development of Python-based APIs, data preprocessing workflows, and model training pipelines.

Benefits:

• Receive equity from day one at a Y Combinator startup.

• Make a meaningful impact by helping financial institutions implement effective compliance solutions.

• Work with a top-tier, highly competent team, including professionals from Y Combinator, Amazon Web Services (AWS), Twilio, and Palantir.

• Enjoy significant career development opportunities in a rapidly growing early-stage startup.

• Thrive in a low-bureaucracy environment with minimal meetings and an asynchronous communication culture.

Other Requirements:

• Recent graduate passionate about tech, sales and capitalism.

• High IQ and EQ.

• Ability to work under pressure and perform in demanding environments.

• Excellent command of English with clear articulation is a must.

• Comfortable and proficiency in cold calling and email outreach without hurting the domain or company reputation.

Responsibilities:

• Proactively identify and engage potential customers through email, phone, LinkedIn, and other channels to drive new business opportunities.

• Assess outbound leads to determine their fit for Flagright based on company needs, budget, and decision-making process.

• Clearly articulate Flagright’s product offerings, industry impact, and competitive advantages to prospective clients.

• Establish and nurture strong relationships with key stakeholders to build trust and credibility.

• Work closely with the sales teams to refine messaging, improve outreach strategies, and optimize the lead conversion process.

Benefits:

• Ground floor impact at a seed-stage startup with tremendous latitude over technical strategy and approach

• Significant, potentially life-changing equity

• Report directly to a founder of the company

• Ability to rapidly advance your career alongside company growth

• Collaborate with experienced teammates, entrepreneurs, and advisors

Experience Requirements:

• 2+ years experience as a software engineer

• Hands-on experience working on frontend and backend software systems

Other Requirements:

• Pride in developing high quality product that solve real customer problems

• Primarily a builder and excited about spending 80%+ of your time actively developing software

• Own what you build and take pride in shipping robust high quality software

• Comfortable with ambiguous product requirements

• Comfortable meeting with customers

Responsibilities:

• Own and deliver major customer-facing components end-to-end

• Understanding customer needs

• Helping compile sprint requirements

• Ultimately shipping core product features

• Focus primarily on designing and building user-facing tools

Benefits:

• Ground floor impact at a seed-stage startup with tremendous latitude over technical strategy and approach

• Significant, potentially life-changing equity

• Report directly to a founder of the company

• Ability to rapidly advance your career alongside company growth

• Collaborate with experienced teammates, entrepreneurs, and advisors

Experience Requirements:

• 4+ years experience as a software engineer

• Hands-on experience working on frontend and backend software systems

• Demonstrated significant impact for your team and your organization

Other Requirements:

• Pride in developing high quality product that solve real customer problems

• Primarily a builder and excited about spending 80%+ of your time actively developing software

• Own what you build and take pride in shipping robust high quality software

• Comfortable with ambiguous product requirements

• Comfortable meeting with customers

Responsibilities:

• Own and deliver major customer-facing components end-to-end

• Understanding customer needs

• Helping compile sprint requirements

• Ultimately shipping core product features

• Focus primarily on designing and building user-facing tools

Experience Requirements:

• 3-6 years of total experience in a product role or with combination of either technology or design

• Hands-on experience working as a developer or designer within an organization is essential

• Experience as a founder or co-founder, regardless of the company size, will be given preference

Other Requirements:

• Strong ownership mentality with the ability to drive projects independently, from ideation to execution

• A strategic thinker with attention to detail and a passion for building exceptional products

Responsibilities:

• Own and manage the entire product feature lifecycle, from ideation to deployment

• Collaborate closely with cross-functional teams, including design, engineering, and stakeholders, to ensure timely and high-quality delivery of product features

• Develop deep expertise in customer needs and align features to provide impactful solutions

• Gather, analyze, and act on feedback from internal and external sources to continuously improve product functionality

• Take responsibility for driving feature execution from the front—hands-on involvement is a must

Experience Requirements:

• Proven track record of managing engineering teams.

• Solid understanding of machine learning fundamentals.

• Experience with roadmap planning, stakeholder management, requirements gathering and alignment with peers towards milestones and deliverables.

• Track record of promoting software engineering best practices and excellence within the team.

• Demonstrated ability to manage software engineers and grow their careers.

Responsibilities:

• Help define and drive scenario generation technology roadmap to deliver on company goals and priorities

• Lead technical discussions and guide technical direction where needed

• Set effective KPIs and metrics

• Build resilient and reliable systems, and teams, anticipate the needs of the business 18 months out, identify areas where additional resources are needed and grow team as hiring manager

• Prioritise effectively, implement and maintain lean and effective team processes

Benefits:

• onsite chef

• workplace nursery scheme

• private health insurance

• cycle scheme

• therapy

Education Requirements:

• BSc above in Machine Learning, Computer Science, Engineering, or a related technical discipline or equivalent experience

Experience Requirements:

• 7+ years of software and machine learning engineering experience in an industrial or applied research environment

• Good insight into the practical aspects of training, validation, testing and metrics for deep learning features/models

• Comfortable working with large quantities of image and video data

Other Requirements:

• Passion to work in a team on research ideas that have real product impact

• A good grasp of machine learning literature, ideally published

Responsibilities:

• Technical leadership of at least one company wide program

• Developing and implementing machine learning models and robotics systems to enhance the capabilities of our Autonomous Vehicle stack.

• Collaborating with cross-functional teams to contribute to the broader company strategy and roadmap, focusing on machine learning applications.

• Enhancing skills and knowledge in machine learning through continuous learning and application, while contributing to the growth and mentorship of junior engineers.

• Allocating personal bandwidth and technical resources effectively to meet both project requirements and personal professional development needs.

Benefits:

• onsite chef

• workplace nursery scheme

• private health insurance

• cycle scheme

• therapy

Education Requirements:

• BSc above in Machine Learning, Computer Science, Engineering, or a related technical discipline or equivalent experience

Experience Requirements:

• 7+ years of software and machine learning engineering experience in an industrial or applied research environment

• Good insight into the practical aspects of training, validation, testing and metrics for deep learning features/models

• Comfortable working with large quantities of image and video data

Other Requirements:

• Passion to work in a team on research ideas that have real product impact

• A good grasp of machine learning literature, ideally published

Responsibilities:

• Technical leadership of at least one company wide program

• Developing and implementing machine learning models and robotics systems to enhance the capabilities of our Autonomous Vehicle stack.

• Collaborating with cross-functional teams to contribute to the broader company strategy and roadmap, focusing on machine learning applications.

• Enhancing skills and knowledge in machine learning through continuous learning and application, while contributing to the growth and mentorship of junior engineers.

• Allocating personal bandwidth and technical resources effectively to meet both project requirements and personal professional development needs.

Benefits:

• Fully employer-covered medical, dental and vision insurance

• catered lunch

• yummy snacks

• variety of drinks

• life insurance

Education Requirements:

• M.S. or Ph.D. in Computer Science, Machine Learning, or related fields

Experience Requirements:

• 10+ years of industry experience.

• Proven experience in building, deploying, and scaling production-level ML solutions.

• Deep understanding of ML fundamentals with expertise in one or more areas: Deep Learning, Computer Vision, Traditional ML, or Large Language Models.

• Proficiency in Python, with a strong focus on clean, well-structured, and testable code.

• Experience leading and executing large-scale, cross-functional projects.

Responsibilities:

• Lead the development of robust ML models and augmentation techniques that power our scenario generation and validation systems.

• Architect scalable systems for mining, curating, and synthesizing data to fuel scenario databases, using both real-world and synthetic data.

• Collaborate with cross-functional teams, including Simulation and Science, to integrate state-of-the-art technologies into our scenario pipelines.

• Drive innovation in scenario coverage, focusing on both closed-loop and open-loop evaluations.

• Own end-to-end technical solutions: from translating product requirements into engineering tasks to delivering high-impact ML models and infrastructure improvements.

Experience Requirements:

• Experience with workflow orchestration systems (e.g. Airflow, Dagster, Flyte, etc.) and/or developing data intensive applications

• Excellent development skills in Python

• Deep knowledge of Kubernetes at the user level

• Good sense of systems and data oriented software engineering design - what makes code reusable and extensible

• Understanding of common software performance issues and design tradeoffs

Other Requirements:

• Excellent communication and people engagement skills

Responsibilities:

• Own key performance indicators (KPIs) for simulator cost, SLOs, throughput, latency, etc.

• Work cross-company on aligning technical dependencies for simulator implementation

• Lead technical discussions and guide technical direction

• Effectively integrate the components of the simulated robot into the simulation platform

• Effectively integrate machine-learned graphics subsystems into the simulation platform

Experience Requirements:

• Technical leadership in relevant domain (multi-modal calibration, SLAM, computer vision, estimation).

• Team growth and leadership. Proven ability to mentor and grow a high-performing engineering team, fostering a culture of engineering excellence, collaboration, and continuous improvement.

• Interface with product & programmes. Track record of working with product and programme functions to plan and prioritise, and handle change of direction and priorities.

• Strategic prioritisation and decision making. Expertise in navigating shifting priorities, balancing long-term architecture with urgent support requests, and making data-driven trade-offs between impact, feasibility, and resources.

Responsibilities:

• Managing delivery of the technical roadmap – forecasting dependencies and helping to unblock the team.

• Understanding the long-term production strategy for calibration, and building and aligning the calibration technical roadmap towards it

• Helping the team to balance urgent operational day-to-day requirements with delivery of the long-term roadmap

• Aligning with technical stakeholders to define SLAs for calibration

• Help the team handle fleet scaling and create more time for roadmap delivery by increasing automation, monitoring and observability of the pipeline