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Requirements:
Builder mindset. Youve either built or meaningfully scaled a consumer product, growth engine, or business. You think in systems, not campaigns.
Growth judgment. You know how to find opportunities, prioritize them, and turn them into real business impact.
Marketing depth. You understand performance, channels, creative, audiences, and unit economics, not just one layer of it.
Creative instinct. You know that great growth often starts with a great idea, not a dashboard.
Business thinking. You optimize for revenue and profitable growth, not vanity metrics.
Analytical sharpness. You use data to form opinions, challenge assumptions, and make decisions.
Ownership. You move from strategy to execution without waiting for someone else to connect the dots.
Speed. You test, learn, decide, and iterate quickly.

Requirements:
You've owned complex operations in a fast-moving business where execution matters
You've worked closely with manufacturers, suppliers, or logistics partners and know how to build strong, accountable relationships
You know how to turn operational challenges into scalable systems and processes
You're highly analytical and use data to drive decisions, not just instincts
You're equally comfortable solving today's problem and designing tomorrow's operation
You're proactive, resourceful, and biased toward action
You communicate exceptionally well across functions, cultures, and time zones
You're comfortable traveling frequently and enjoy being close to where things happen.

Requirements:
5+ years of product design experience (that include some B2C mobile products)
Genuine AI fluency: you use LLMs daily, youve built custom workflows, youve used vibe coding, Figma AI, or similar. Youre always looking for whats next
Someone who takes full ownership, from framing the problem to shipping, without needing to be told what to do next
Leads with data: digs into data and analytics independently, understands the metrics behind a feature before jumping to solutions
Strong UX foundation with real attention to detail. Get the details right: microcopy, edge cases, error states, micro-interactions.
Comfortable running your own research
Clear communicator, in writing and in conversation, across product, engineering, and leadership
Availability to work in a hybrid model - at least 3 days a week from the office.

Requirements:
BSc or MSc in Electrical Engineering, Computer Engineering, Computer Science, or a related field,
with substantial relevant industry experience. A PhD in wireless communications, signal processing, or a related area
is an advantage.
Typically 7+ years of hands-on experience in wireless systems, RAN development, modem/PHY development,
or system/link-level simulation; exceptional candidates with equivalent depth are welcome.
Deep knowledge of LTE and/or 5G NR L1/L2 behavior, including MAC scheduling, link adaptation,
HARQ, CQI/SINR feedback, resource allocation, and uplink power control.
Strong understanding of digital communications and signal processing, including channel estimation,
equalization, coding/modulation, MIMO, propagation and fading models, and performance metrics.
Demonstrated experience building or validating link-level, system-level, or hardware-in-the-loop simulations and
explaining where a model is-and is not-valid.
Strong programming skills in C or C++ and Python, including the ability to integrate production native code with
simulation and analysis tooling.
Practical experience with scientific computing and data analysis using tools such as NumPy, SciPy, pandas,
and visualization frameworks.
Hands-on experience developing or evaluating machine-learning models for communications, signal processing,
time-series data, or related domains using PyTorch, TensorFlow, or an equivalent framework.
Sound experimental and statistical judgment: reproducibility, baselines, error analysis, uncertainty, calibration,
controlled comparisons, and avoidance of data leakage or curve fitting.
Experience working in Linux development environments with Git, automated testing, containers, and CI/CD.
Ability to lead a technically ambiguous initiative, make architecture decisions, and communicate clearly
across research, product, development, and validation teams.

Requirements:
3-5+ years of experience in social media.
Experience in tech companies.
Strong background in B2C social media.
Excellent English writing and communication skills.
Strong understanding of both organic and paid social.
Experience with Meta channels (Facebook, Instagram), TikTok, and analytics tools.
Proficiency with AI-powered tools and workflows to optimize and scale creative output.
Proven experience in working with LLMs to elevate you day to day work
Creative, proactive, data-driven and team-oriented mindset.

Requirements:
What Were Looking For:
5+ years of professional iOS development with demonstrated expertise in Swift
Knowledge of conversational UX design and AI-driven interface patterns
Strong portfolio featuring innovative mobile experiences and sophisticated interactions
Deep understanding of iOS architectural patterns that can accommodate AI-powered features
Experience with SwiftUI, Combine, and modern iOS development practices
Passion for experimenting with and implementing novel user interaction paradigms
Collaborative mindset for working with cross-functional AI, design, and product teams

Requirements:
What We're Looking For:

Bachelor's degree in Graphic Design, Visual Communications, or a related field.
5+ years of demonstrable experience as a Marketing Designer or Growth Designer, with a strong emphasis on performance marketing, conversion-driven design, and B2B SaaS/tech industry exposure.
An exceptional portfolio showcasing high-impact digital design projects, specifically in performance marketing, landing page optimization, and conversion funnels.
Expert proficiency in Figma is essential. Strong command of the Adobe Creative Suite.
Solid understanding of design principles (layout, typography, color theory) and deep knowledge of user-centered design (UCD) principles, particularly for optimizing conversion funnels.
Demonstrable 'AI-savvy' - familiarity with AI tools for design, content, or optimization, and a curiosity for leveraging AI in creative workflows.
Excellent communication and collaboration skills to work effectively with cross-functional teams.
Detail-oriented with a keen eye for aesthetics, able to manage multiple projects in a fast-paced environment.

Requirements:
A business-minded lawyer with exceptional judgment
Commercially sharp and comfortable navigating complexity
Pragmatic, curious, and solutions-oriented
Able to balance risk with opportunity
A trusted advisor who builds strong partnerships across the company
Excited by the challenge of helping ambitious businesses grow.

Requirements:
Requirements
5+ years of experience in Art Direction, Visual Design, Brand Design, Marketing Design, or related creative roles.
Experience working in B2B technology, SaaS, software, telecommunications, or digital product companies.
Strong portfolio demonstrating integrated marketing campaigns, visual storytelling, creative leadership, and business impact.
Proven experience managing agencies, freelancers, and external creative partners.
Strong organizational skills with the ability to manage multiple creative initiatives simultaneously.
Experience leading complex creative projects from concept through execution.
Exceptional visual design, storytelling, presentation, and communication abilities.
Deep understanding of B2B marketing, digital marketing, content creation, and customer-focused communication.
Demonstrated expertise in AI-powered creative workflows and emerging creative technologies.
Availability to work in a hybrid model - at least 3 days a week from the office.
Please add a link to your portfolio in the CV submission.

Advantages
Experience creating campaigns for enterprise and B2B audiences.
Experience working in global organizations and cross-functional environments.
Motion design, video production, and creative technology experience.

Requirements:
5+ years building production backend services in Python / Go / Node
Strong software engineering fundamentals - design patterns, testing, CI/CD, microservices architecture
Experience designing and operating distributed systems in cloud environments (AWS)
Deep understanding of data - modeling, pipelines, ETL/ELT processes, and query optimization.
Experience with modern data warehouses such as Snowflake / Databricks and orchestration tools such as Airflow / dbt.
Strong SQL skills and experience working with large-scale datasets.
Proven ability to take ownership end-to-end: from gathering requirements and designing solutions to deployment and production support.
Hands-on experience using AI coding tools (Cursor, Claude Code, or similar) as a core part of the engineering workflow.
Proactive by nature with a strong sense of ownership and internal drive for excellence.
Excellent written and verbal communication skills; high English proficiency.
Bachelor's degree in Computer Science, Engineering, or equivalent experience.

Requirements:
What We're Looking For:
5+ years of experience in data or product analytics.
Highly experienced in SQL and building data models that scale.
Self-Starter Mentality: You don't wait for a ticket to be assigned; you dig into the data, find an anomaly, and bring the solution to the team.
Communication: Ability to translate complex technical findings into "business-speak" for stakeholders at all levels.
B2C Product Sense: A strong drive for data and numbers coupled with an affinity for user experience and pain points.
Technical Proficiency: Highly experienced with dashboard building, best practices, and data visualization.
Experience with dbt is a plus (or a strong desire to master it).
Collaborative Spirit: Excellent stakeholder relationship skills and a proven ability to work as a strong team player.

Requirements:
6+ years in DevOps/Infrastructure roles, with at least 2 years in a leadership or team lead capacity.
Expert-level experience with AWS services and modern cloud-native architectures.
Demonstrated hands-on experience managing and optimizing Snowflake environments.
Proven ability to make infrastructure decisions based on commercial impact, cost-efficiency, and user growth.
Strong proficiency in IaC (Terraform/Pulimi), CI/CD pipelines, container orchestration (K8s), and integrating AI/ML models into production workflows.
Ability to articulate complex infrastructure postures and budget rationales to both technical and non-technical stakeholders.