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Requirements:
At least 1-2 years of experience in sales, account management, recruitment, or another relevant field - required.
Strong sales orientation and a genuine affinity for sales - required.
Strong relationship-building and business communication skills.
Excellent interpersonal and communication skills.
Proactive, independent, and highly motivated.
Ability to manage multiple clients, tasks, and processes simultaneously.
Experience in technology, software, or technical recruitment - an advantage.

Requirements:
Over 3 years of experience managing programmatic partnerships on a global scale.
Strong understanding of the commercial and technical aspects of AdTech, including exchanges, DSPs, SSPs, and ad servers.
Extensive problem-solving skills and initial troubleshooting experience.
A customer-first mindset with a commitment to exceeding client expectations.
Excellent communication skills in English, both written and verbal.
Outstanding client service skills, with the ability to interact with and present to clients at all levels of seniority.
Proficiency in MS Office (Excel, Word, PowerPoint).
Achieve revenue goals through the consistent adoption of Carlibas SSP product offerings.
Collaborate with fellow co-founders to articulate and refine the company's vision, mission, and strategic direction.
Lead the formulation and execution of the company's product plan, encompassing market analysis, product development, and go-to-market strategy.
Determine and prioritize product features and enhancements through thorough market research, customer feedback, and competitive analysis.
A deeply ingrained entrepreneurial spirit coupled with a fervent ambition to shepherd a startup from its inception to unprecedented heights.
A proven track record of leadership excellence, preferably in the context of a startup or high-growth environment.
Demonstrated expertise in ad-tech, with a comprehensive understanding of industry dynamics and emerging trends.
Exceptional communication and interpersonal skills, with an innate ability to inspire and motivate others.
A history of crafting and executing product strategies that drive revenue growth and catalyze market expansion.

Requirements:
A deeply ingrained entrepreneurial spirit coupled with a fervent ambition to shepherd a startup from its inception to unprecedented heights.
A proven track record of leadership excellence, preferably in the context of a startup or high-growth environment.
Demonstrated expertise in ad-tech, with a comprehensive understanding of industry dynamics and emerging trends.
Exceptional communication and interpersonal skills, with an innate ability to inspire and motivate others.
A history of crafting and executing product strategies that drive revenue growth and catalyze market expansion.

Requirements:
5+ years of experience building highly scalable, SaaS web products.
Fluent in any programming languages such as Golang, Node.js, Python, Scala or similar.
Experience with SQL and NoSQL databases, Docker, K8s/ECS/Nomad or similar, AWS or similar public cloud.
Vast experience in microservices architecture, distributed systems & high scale environments
Willingness to work with Golang

Requirements:
4-8 years of B2B SaaS/ AI sales experience, with a strong track record of closing new business.
Experience owning a full sales cycle, ideally selling to mid-market or enterprise customers.
Strong prospecting, discovery, negotiation, and closing skills.
Comfortable selling a new product and category without an established brand or playbook.
Strong commercial judgment and ability to navigate complex buying processes.
Excellent communication and presentation skills.
Highly entrepreneurial, hands-on, and comfortable building from zero.
Native-level English proficiency- exceptional spoken and written English is essential

Requirements:
2-5 years of experience in SDR, BDR, Business Development, or a similar customer-facing role, preferably in B2B SaaS.
Proven success generating qualified meetings and pipeline through outbound prospecting.
Native or near-native English proficiency.
Exceptional written and verbal communication is essential.
A true hunter mentality -persistent, curious, proactive, and motivated by opening new doors.
Strong ability to research accounts and personalize outreach based on business context.
Comfortable using data to prioritize accounts, test messaging, and improve conversion.
Experience with outbound and sales technology such as LinkedIn Sales Navigator, HubSpot, Apollo, Outreach, Lusha, or similar tools.
Comfortable using AI tools to improve research, personalization, and sales productivity.
Ability to thrive in a fast-paced startup environment with a high degree of ownership and ambiguity.
Genuine interest in AI, EdTech, and the future of workplace learning.
Additional languages such as Spanish, French, Portuguese, German, or Italian are a strong advantage.
Experience mentoring or leading BDRs is a plus.

Requirements:
6-8 years in Product Marketing, GTM, or a related role, with strong B2B SaaS/ AI experience.
Proven experience in positioning, messaging, ICP, sales enablement, and GTM strategy.
Strong understanding of B2B and enterprise buying processes.
Experience launching products or entering new markets globally.
Excellent storytelling, writing, and communication skills.
Native-level English proficiency- exceptional spoken and written English is essential
Strong commercial mindset and ability to connect customer insights to business impact.
Strategic thinker who is also highly hands-on and comfortable building from scratch.

Requirements:
MSc or PhD in Machine Learning, AI, NLP, or a related field
A track record of bringing academic research to industry applications
A strong publication record at top-tier venues - NeurIPS, ICML, ICLR, ACL, EMNLP, or NAACL
Proven experience researching and deploying production-grade ML or AI systems
Deep hands-on experience with PyTorch, Transformers, and modern LLM tooling
Solid understanding of LLM pretraining, fine-tuning, post-training and alignment techniques
Strong coding skills and comfort working across the research-to-production boundary

Requirements:
At least 6 years of production software engineering experience, primarily in backend systems, including meaningful ownership of data-intensive platforms or infrastructure.
Strong proficiency in Python, Java, and SQL, with experience in testing, typing, performance optimization, and production debugging.
Strong backend engineering fundamentals, including service and API design, asynchronous and concurrent processing, failure handling, and operational reliability.
Experience with relational and non-relational databases such as PostgreSQL, Redis, or MongoDB.
Hands-on experience with AWS, Docker, Kubernetes, CI/CD, and production observability.
Deep experience designing and operating ETL/ELT pipelines and batch or streaming data systems.
Hands-on production experience with Apache Flink for distributed stream processing.
Hands-on production experience building reactive data-processing pipelines with RxJava/Project Reactor, including backpressure, scheduling, error handling, testing, and operational debugging.
Experience with event-driven architectures and messaging systems such as Kafka or AWS SQS.
Strong understanding of data modeling, warehouse and lakehouse architecture, schema evolution, and data quality.
Hands-on experience with dbt for data modeling, testing, documentation, lineage, and semantic-layer development.
Hands-on experience with at least one analytical data platform such as Snowflake, Databricks, ClickHouse, Athena, Trino, or Dremio.
Hands-on experience with at least one dataframe library: Pandas, Polars, or Daft.
Experience with workflow orchestration tools such as Airflow or Dagster.
Clear communication skills and a strong ownership mindset, with a track record of leading cross-functional technical initiatives through to production.

Requirements:
Minimum of 7 years of experience designing and developing scalable, distributed backend systems in one or more modern programming languages (Python is a plus).
Deep expertise in Python concurrency and execution models (WSGI, ASGI, asyncio, multiprocessing, threading, GIL).
Proven track record building production-ready asynchronous Python applications serving high-volume traffic.
Strong experience with Pydantic and FastAPI in production environments.
Expertise in designing and implementing RESTful APIs and gRPC services with strong emphasis on versioning strategies and backward/forward compatibility.
Demonstrated ability to solve complex performance, scalability, and workload distribution challenges.
Proficiency with relational and non-relational database solutions (PostgreSQL, Redis, DynamoDB, MongoDB), including query optimization and data modeling.
Experience with event-driven architectures and message queuing systems (Kafka, RabbitMQ, AWS SQS).
Hands-on experience with Docker, understanding of CI/CD pipelines and methodologies, and working in Kubernetes/AWS-based deployments.
Strong proficiency with AWS cloud services and cloud-native architectures.
Understanding of observability practices (distributed tracing, metrics, logging) and experience with monitoring tools.

Requirements:
5+ years of frontend experience, ideally on high-traffic consumer products
Proven experience with React, TypeScript, and Next.js, you've shipped and maintained production apps at scale
Strong CSS Modules and modern CSS (Grid, animations, transitions, custom properties)
An eye for design and high-fidelity Figma-to-code execution
Experience building or maintaining an internal component library or design system ideally with Storybook
Solid understanding of web/mobile-web performance and the tradeoffs involved
Experience with testing, including e2e testing with Playwright
Strong communication skills, comfortable working directly with designers, PMs, and non-engineers, and giving/receiving feedback
Willingness to dip into backend/Python codebases when needed to unblock your own work
Hands-on experience using AI/agentic coding tools in real production workflows
Good product sense