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We are looking for a strategic and motivated Social Media & Community Team Lead to guide our social media and community efforts. This role goes beyond traditional social media management, offering the opportunity to be at the forefront of engaging a passionate community of photographers and creative professionals. If you are enthusiastic about social media, arent scared of hands-on creative thinking, community engagement, and driving brand loyalty, this role is for you.
Responsibilities
Social Media & Community Strategy: Develop and execute innovative social media narratives and strategies to enhance our online presence and foster community growth. Ensure consistent messaging and tone of voice across all social media channels in alignment with the overall brand strategy and company goals.
Content Creation & Curation: Manage the hands-on creation, curation, and scheduling of engaging content that resonates with our audience, aligns with our brand values, results in growth, and supports brand expansion.
Collaboration: Work closely with teams in the marketing department and other departments to align social media and community efforts with broader company goals.
Performance Analysis: Track and analyze social media metrics to optimize strategies and report on the effectiveness of campaigns.
Community Engagement: The Social Media Team Lead is also the direct manager of our Community and podcast manager.
Lead and manage the community team to ensure that our community members are highly engaged, feel valued, and have a positive experience across all platforms. Build and maintain relationships with other communities to support the growth of our community, brand presence, and user base.
Innovation: Stay up-to-date with the latest social media trends and tools to keep our strategies fresh and competitive.

Required Partnerships Manager (Temporary)
As a Partnership Manager, You will be responsible for designing and implementing a strategic partnership framework across priority English-speaking regions (USA, Canada, UK, Australia and New Zealand).
Your role will focus on driving partner acquisition, managing partnership lifecycles, and delivering measurable results. Collaboration with internal teams, strategic planning, and data analysis will be essential. Central to this role is identifying and building lasting relationships with partners to ensure mutual success. Proficiency in English is essential, with additional languages being a bonus.
Responsibilities
Strategic Channel Development: Develop and implement partnership acquisition strategies tailored to priority English-speaking markets. Define and optimize the partner funnel, ensuring alignment with revenue and growth objectives.
Identify and Secure Relevant Partners: Proactively identify high-potential partners, including influencers, affiliates, ambassadors, and brands, who align with our vision and goals. Lead negotiation and onboarding efforts, ensuring partnerships are mutually beneficial and structured within company guidelines.
Partner Campaign Management: Design and oversee collaborations with content creators, and affiliate partners. Ensure they align with product goals, channel objectives, and geographic priorities to maximize reach and engagement.
Comprehensive Partnership Management: Manage the entire partnership lifecycle, from identifying and onboarding partners to nurturing long-term relationships. Collaborate with content creators to deliver impactful campaigns, providing resources, messaging, and regular updates. Continuously evaluate performance to refine strategies and maximize partnership impact.
Event Advocacy at Events:: Represent us at key industry events and trade shows, taking a lead on planning partnership activities or sponsorships to foster partner engagement and increase brand visibility.
Performance Measurement and Optimization: Monitor key performance indicators, such as conversion rates, subscriber growth, and campaign ROI. Use data insights to refine partnership strategies and improve outcomes.
Cross-Functional Alignment: Partner with internal teams, including marketing, product, and ambassador teams, to align on strategies, campaigns, and partner needs. Ensure seamless communication and execution across departments.
Innovative Initiative Development: Identify creative opportunities to engage new audiences through innovative campaigns, events, or collaborations with content creators, educators, and brands. Drive experimental approaches to expand our footprint in key markets.

The filesystem group is a high-powered team responsible for implementing algorithms at scales of 100s of PBs. The team also manages the core filesystem components, including blocks and metadata management, snapshots, RAID logic, object-store tiering, unique cloud disaster recovery features, and more. And most importantly, they skillfully handle the most delicate part of the solution our customers data.

As a Senior Software Engineer, youll:

Design and develop distributed file system components to support data management features such as snapshots, replication, tiering, and advanced data reduction algorithms;
Participate in the design, architecture, and implementation of next-generation storage architecture;
Assist in technically managing initial storage implementations including proofs-of-concept;
Diagnose bottlenecks and implement clean and performant solutions to achieve unbeatable performance;
Design algorithms and data structures to make sure customer data is safe and coherent across our solution in a wide variety of failure modes; and
Constantly revisit the architecture, algorithms, and methodologies to improve productivity, reliability, and maintainability.

We are looking for a results-driven enthusiastic growth Lead/Specialist to join our team. As a Growth Lead, youll play a key role in scaling our user base through non-traditional, data-driven marketing experiments. Youll brainstorm, execute, and optimize high-impact growth strategies across digital, organic, and viral channels.
You will be a part of a fast-growing AI company with a global impact. Own high-impact projects from strategy through execution. Work with a creative, data-driven, and collaborative team and get the freedom to test bold ideas and build innovative growth engines.
Responsibilities
Own & execute growth initiatives across multiple acquisition channels: paid ads, organic, partnerships, and experimental growth loops.
Define KPIs, track performance, and extract insights to guide strategy and optimize campaigns.
Plan, launch, and manage campaigns end-to-end including creative ideation, copywriting, targeting, and budget management.
Run rapid experiments: formulate hypotheses, design A/B tests, and scale what works.
Collaborate closely with design, product, and marketing teams to deliver growth-driven creative assets and landing pages.
Identify new acquisition opportunities across platforms, communities, and emerging technologies.
Leverage AI tools to accelerate ideation, automate workflows, and scale campaign execution.
Build repeatable processes and frameworks for sustainable, scalable growth.

As a Senior Kernel Engineer , your primary responsibility will be collaborating with other team members on our high-performance filesystem solution and releasing our kernel driver, which is written in C on top of Linux, as part of the filesystem product.

The kernel-based filesystem driver provides file access and logic to filesystems and the ability to connect clients to the cluster. This enables the system to provide applications with local filesystem semantics and performance while providing centrally-managed, shareable, and resilient storage.

Our entire kernel team proudly delivers high-quality kernel drivers and you will have the opportunity to quickly become an integral contributor.

As a Senior Kernel Engineer, youll:

Design and develop core product features in a complex software system with a focus on Linux kernel and OS infrastructure layers
Provide architectural guidance and fresh ideas in our core kernel driver and related interfaces
Locate performance bottlenecks within Linux and/or its driver or other components, and suggest & implement enhancements to meet target performance goals

As our new Senior Software Engineer, youll be joining the Platform group. This group of highly-experienced and detail-oriented engineers proudly owns the network stack, storage stack, task scheduling infrastructure and more.

As a Senior Software Engineer, youll:

Play an active role in creating jaw-dropping designs, writing impressively efficient code, and conducting collaborative code review;
Share fresh ideas and architectural guidance for our core areas of distributed computing, high-performance storage, and cloud computing; and
Challenge our benchmarks with performance testing around IO and storage throughput.

We are looking for a Data Analyst to join our team.
The Data Analyst must have the ability to strategize, analyze and interpret business data to identify key insights and provide recommendations.
The successful candidate should have a proven track record of success in the field of business analytics.
Responsibilities
You will work with various internal & external datasets to extract insights and deliver actionable recommendations.
You will use your set of analytical skills, data mining techniques and statistical tools to identify trends, opportunities and threats that will support our growth.
You will communicate your findings to management and work closely with business leaders.
You will Design, execute and monitor ETL flows via SQL (dbt is our data tool).
You will Visualize data with dashboards to address key questions for the company's in-house teams like Sales, Marketing, CSM, Growth, and more.

As a Senior Software Engineer on our Protocols team, youll work to take our Multi-Protocols Interface to the next level. Youll achieve this primarily by helping craft ambitious features and critical components for Wekas main product, which is a distributed data platform that provides vital services and value for our customers.

Be a key part of Protocols product area, dedicated to enhancing the quality, robustness, and performance of our Multi-Protocols Interface. Youll focus on developing advanced automated tests, frameworks, and tools that validate our distributed data platform, which powers S3, SMB, and NFS protocol services.

Key Responsibilities
Participate in the design, development, and testing of storage solutions, including S3, SMB, and NFS protocol integration.
Design and implement automated test frameworks and test cases to validate functionality, performance, and scalability of storage protocols.
Build and maintain automation solutions for stress, performance, and regression testing in distributed environments.
Debug and troubleshoot complex issues across automation, distributed systems, and protocol-level implementations.
Take full ownership of code quality, maintainability, and reliability.

We are building a software engineering team with a strong applied AI focus to seek to drive success. As a Lead AI Engineer, you will play a pivotal role in shaping the direction of AI-driven solutions across the organization. You will lead efforts to design, and develop scalable AI products that solve real-world problems, while fostering collaboration across diverse teams. This role is ideal for a visionary technologist who thrives on innovation and is passionate about advancing AI adoption within a global organization.

Key Responsibilities:

Act as a thought leader and advocate for AI technologies, inspiring teams and stakeholders to embrace AI-driven solutions.
Architect and deliver scalable AI products that address complex, real-world challenges.
Partner with cross-functional distributed teams to identify opportunities for AI integration and drive impactful solutions
Work closely with stakeholders to gather, analyze, and define requirements, ensuring alignment with business goals
Stay at the forefront of AI advancements, particularly in the areas of large language models (LLMs), vector databases, and emerging technologies.
Guide and mentor junior engineers, fostering a culture of innovation, collaboration, and technical excellence.
Drive projects to completion with a delivery mindset, that meet organizational needs.

The person must have a strong understanding of the investment research process to create computer-based models that seek to predict movements of global financial markets. While prior finance experience is not required, a successful candidate must possess a strong interest in learning about finance and global markets. Candidates will have a research scientist mind-set; be a self-starter, a creative and persevering deep problem solver who is motivated by unsolved challenges.

Job Responsibilities (including, But Not Limited To, The Following)

Building algorithmic, computer-driven models
Conducting research on academic quantitative finance literature
Exploring and handling data
Applying an alignment of innovative methods in Applied Mathematics, Computer Science and Financial Economics.

We are seeking candidates with quantitative portfolio management experience and intimate knowledge of systematic strategies
Job Responsibilities (include, but not limited to the following)

Develop systematic strategies that use statistical signals associated with various market inefficiencies applied to a broad variety of asset classes including global equities and/or ETFs, futures
Lead, manage and grow quantitative investment portfolio
Contribute to broader firm research and strategic initiatives

We are seeking a skilled and driven Account Receivables Specialist to join our finance team in Tel Aviv, focusing on clients across the APAC region. This role is key to ensuring healthy cash flow and minimizing risk by proactively managing accounts receivable, resolving billing issues in collaboration with the billing team, and maintaining strong customer relationships.

To succeed, you must be comfortable working in APAC time zones for client contact while remaining available for key collaboration with internal stakeholders in Israel, Canada (EST), and the US (EST).

Key Responsibilities
Monitor APAC customer accounts to identify outstanding receivables.

Investigate historical account data in ERP and banking systems.

Initiate and manage collections activities via email, phone, and portals during APAC business hours.

Build communication reporting and maintain professional relationships with customers to encourage timely payments.

Handle escalations, resolve discrepancies, and involve legal when necessary.

Coordinate closely with internal teams including Legal, Sales Ops, and Finance across regions.

Maintain accurate and timely records (reconciliation of payments) in AR systems and contribute to monthly reporting.

Escalate at-risk accounts and propose action plans to management.

We are seeking for an experienced Go Developer, you will work on performance-critical backend services that power programmatic ad delivery, real-time bidding (RTB), and data synchronization. Youll be developing high-concurrency, low-latency services in Go, ensuring our systems stay reliable and fast even under heavy load.

Key Responsibilities:
Design and implement Go services for ad serving, bidding, auction logic, and user tracking at scale.
Work with real-time data streams, impression logging, and event pipelines.
Optimize systems for performance and throughput
Build caching layers and efficient data access strategies (e.g., using Redis, Memcached).
Collaborate with DevOps to ensure scalability, observability, and reliability of deployed systems.
Write unit and integration tests to validate service functionality and performance.

Our team is at the heart of driving AI innovation across the company, turning ideas and endless data into scalable solutions. We work closely with product and engineering teams to design, prototype, and scale AI-powered solutions that make a real impact.

What You'll Be Doing

Collaborate with engineers, data scientists, and product managers to ideate and implement new AI features
Drive the development of end-to-end ML workflowsfrom data ingestion and modeling to deployment
Develop, evaluate, and tune models using advanced metrics and optimization techniques.
Build architectures around Large Language Models and AI agents.
Promote knowledge sharing and collaboration.