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About Mindspace Founded in 2014, Mindspace is a leading flexible workspace provider with an expanding footprint in Europe, Israel and the US. Our design-led office spaces and on-demand offerings such as meeting rooms, event spaces and daily offices provide the ideal solution for enterprise companies, startups, small businesses and entrepreneurs adapting to today’s fast-evolving hybrid work environment. Mindspace is considered a lifestyle brand that has been bringing hospitality into the world of work, always putting service and experience first. A profitable operator, Mindspace has over 15.000 members in more than 40 prime locations spread across cities such as San Francisco, New York, Miami, London, Berlin, Frankfurt, Amsterdam, Tel Aviv, Warsaw, Bucharest, and more. Why you’ll love working at Mindspace? Mindspace is a place where employees can thrive and further develop their skill set in an inspiring and nurturing environment: great vibe, employee wellbeing, diverse community, boutique design. You’ll work with some of the best people in the industry, who love what they do. You’ll be part of a global company with deep respect and understanding for the local culture of each of its markets. Our growth is intrinsically connected to that of our employees, and as a Mindspace employee, you’ll be presented with long term career opportunities, globally. Who is the ideal Mindspacer? You’re a team player. You take pride in what you do and have a mindset of “I’m all in” when you do it. You know when to take action and how to take the areas of your responsibility to the next level - excellence is the name of the game. You know how to ‘read the room’ and understand the professional environment you’re in. About the position We’re looking for an exceptional professional who connects data, Salesforce, and AI technologies - and drives real transformation across the organization. This role is designed for someone who doesn’t wait for instructions, but instead identifies problems, dives deep, and builds solutions from scratch. What you’ll do:
* Lead business process transformation using data and AI
* Work hands-on with Salesforce (Sales Cloud) to improve sales, marketing, and operational workflows
* Design and implement smart solutions - automations, predictive models, and AI-driven recommendations
* Build and optimize automations using Salesforce Flows and validation rules
* Analyze business processes and proactively suggest improvements
* Connect multiple data sources and systems through integrations and APIs
* Ensure data quality, reliability, and consistency across platforms
* Identify bottlenecks and business challenges, and own solutions end-to-end
* Collaborate closely with Sales, Marketing, Product, and Operations teams
* Support user adoption and guide teams in leveraging systems effectively
* Continuously explore and implement new AI tools and Salesforce capabilities

We Are more than a Professional Services firm, we are a community of people driven by impact. As a leading firm providing Audit, Tax, and Advisory services, and part of one of the worlds largest global networks, we work with the most influential organizations in the market, combining deep expertise, innovation, and advanced technology. We are guided by integrity, responsibility, and forward thinking in everything we do. Our people are at the center, with space to lead, grow, and build meaningful careers in a collaborative environment that connects personal success with real value for business and society. We are looking for an experienced FP&A to join us, playing a key role in connecting business activities with financial insights. This role involves close collaboration with senior stakeholders and focuses on delivering data -driven analysis to support decision-making. Key Responsibilities
* Analyze profitability across projects, clients, and business units
* Monitor budget vs. actual performance and support financial planning
* Track and manage WIP and revenue recognition processes
* Build financial forecasts and management reports
* Develop and analyze business and financial KPIs
* Act as a trusted business partner to internal stakeholders
* Support financial processes and systems, including SAP implementation

Appdome’s mission is to protect every mobile app in the world and the people who use mobile apps in their lives and at work. Appdome provides mobile brands with the only patented, centralized, data-driven Mobile Cyber Defense Automation platform, delivering rapid no-code, no-SDK mobile app security, anti-fraud, anti-malware, anti-cheat, anti-bot implementations, configuration as code ease, Threat-Events™ threat-aware UI/UX control, ThreatScope™ Mobile XDR, and Certified Secure™ DevSecOps Certification in one integrated system. With Appdome, mobile developers, cyber and fraud teams can accelerate delivery, guarantee compliance, and leverage automation to build, test, release, and monitor the full range of cyber, anti-fraud, and other defenses needed in mobile apps from inside mobile DevOps and CI/CD pipeline. Leading financial, healthcare, m-commerce, consumer, and B2B brands use Appdome to upgrade mobile DevSecOps and protect Android & iOS apps, mobile customers, and mobile businesses globally. Today, Appdome’s customers use their platform to secure over 50,000+ mobile apps with protection of over 3B mobile end users projected. ?About the Role We are looking for a talented Software Engineer at Appdome. You will take part in developing our core API Protection product infrastructure. The challenge is to design and develop complex security components that can be integrated in a generic and flexible way for Android & iOS 3rd party applications’ network stacks, and integrated seamlessly and agnostically on all cloud/WAF platforms. The code is developed both on the client and server side, mainly in C/CPP but also in Java/OBJC and scripting languages such as Python and JS. Responsibilities
* Creatively designing, developing, and delivering new infrastructures and security features.
* Optimizing and debugging our current infrastructure according to customers’ needs.
* Continuously learn and evaluate new technologies in the everlasting effort to perfect our product.

Company Overview: Our mission is to enable its global customers to protect and save lives by enhancing digital investigations and intelligence gathering to accelerate justice in communities around the world. Our AI-powered Digital Investigation Platform enables customers to lawfully access, collect, analyze and share digital evidence in legally sanctioned investigations while preserving data privacy. Thousands of public safety organizations, intelligence agencies and businesses rely on our digital forensic and investigative solutions-available via cloud, on-premises and hybrid deployments-to close cases faster and safeguard communities.?To learn more, visit us in our website.

Position Overview: As a Senior Software Developer in Cellebrite Labs, your daily mission involves designing and developing advanced capabilities to extract digital evidence from modern Android and IOS devices. You will tackle some of the toughest security protections such as PAC, Secure Elements, Code Signing, Hypervisors, and more. Working in the heart of the Digital Intelligence Labs group, you will contribute to productizing world-unique capabilities that enable law enforcement and private sector customers to conduct legally sanctioned forensic investigations effectively and securely. This role requires a combination of deep technical knowledge, creativity, and persistence to solve complex problems while collaborating closely with top researchers and engineers. Your work will have a direct impact on investigations that save lives and uphold justice globally.


Key Responsibilities:
* Lead and contribute to the development of new extraction technologies for Android and IOS platforms.
* Analyze and reverse-engineer low-level OS internals and security mechanisms.
* Develop robust system -level software in C, C ++, and Python.
* Collaborate with cross-functional teams to design, TEST, and integrate new capabilities into our Digital Intelligence platform.
* Stay current with emerging mobile security technologies and forensic challenges.
* Share knowledge and best practices within the team to elevate overall engineering quality.

Office Location:
Tel Aviv

a squad includes the engineering team, a product manager, and a product designer. Squads work in SCRUM methodology.

So, what will you be doing all day?

Using modern technologies and best practices, develop new and existing features for SaaS application
Contribute to technical discussions and decisions regarding architecture growth and code evaluation
A fast-paced work environment with a lot of responsibility and independence
Participate in code reviews as part of an experienced team
Requirements

You're a hands-on operator who treats the marketing engine as a system to be perfected, not a set of tasks to be checked off. Our stack is already up and running; your job is to take it from good to great: sharpen what's working, fix what's leaking, and level it up as we scale. You live in HubSpot, you get a quiet thrill from a workflow that just works, and you see a leaky funnel or a broken attribution model as a puzzle waiting to be solved.

You're senior enough to own the marketing and partnerships tech stack end-to-end, but you're an IC at heart. You'd rather get your hands in the system and improve it yourself than hand it off. You think in full-funnel impact: how a paid click becomes a lead, how a lead becomes a deal, and how a partner-sourced opportunity gets routed, tracked, and credited correctly all the way through to revenue.

You embrace AI as a core part of how you work, actively experimenting with whatever's new, whether that's improving automations, wiring up tools, or supercharging your own output. You move fast, back your decisions with data, and bring structure and clarity to everything you touch.

So, what will you be doing all day?

This is a hands-on ownership role. You're taking systems that already exist and making them faster, cleaner, and more scalable.

Own and optimize our HubSpot Marketing Ops. Refine workflows, integrations, properties, lifecycle stages, lead scoring, campaign architecture, data hygiene, and reporting across the full journey from first touch through conversion.
Elevate marketing operations. Make sure campaigns, lead routing, attribution, and reporting are accurate, fast, and scalable, and keep improving them as we grow.
Sharpen tracking and attribution. Own and improve how we measure the funnel end-to-end, tighten the connection between paid channels (Facebook Ads, Google Ads and more) and HubSpot, and evolve our multi-touch attribution into a source of truth the whole team trusts.
Improve the automation and middleware. Maintain and upgrade the connective tissue between HubSpot, our databases, and ad platforms, and harden the automated pipelines that keep data flowing where it needs to go.
Oversee data quality. Own incoming data requests, audience segmentation, and performance deep-dives, and run regular hygiene audits so the marketing database stays accurate and measurable.
Own partnership operations. Improve the systems that track partner-sourced and partner-influenced pipeline, automate partner lead handoffs and routing, and give the partnerships team clean data to grow the channel.
Drive attribution and analytics. Analyze performance from acquisition through expansion and churn, surface where the funnel breaks and where the budget works, and make the numbers trustworthy enough to drive real decisions.
Bring AI into the engine. Find the manual, repetitive, and error-prone parts of GTM ops and automate them with AI and no-code/low-code tooling.
Partner cross-functionally. Collaborate closely with stakeholders across the company to improve efficiency and accelerate growth across the customer lifecycle.

We are looking for an MLOps Team Leadto drive the development of an internal machine learning platform for a group of ML teams. This is a hands-on leadership role: you will guide a small team of MLOps engineers that builds the automation and infrastructure powering our research (R&D) workflows and runs our pipelines to production. You will take ownership of end-to-end initiatives and drive the team toward critical infrastructure and model-lifecycle milestones, while staying close enough to the code to set technical direction and raise the bar by example.

You will be responsible for building and maintaining the models and data pipelines behind our data science workflows, ensuring the accuracy, consistency, and efficiency of the data used for training and inference, working across structured and unstructured data from many sources on a large-scale, distributed platform.

WHAT YOU WILL DO

- Lead, mentor, and grow a team of MLOps engineers, owning delivery and technical quality.

- Take end-to-end ownership of infrastructure and pipeline initiatives across the LMM group, from design through production.

- Stay hands-on: contribute to design and code, review work, and set engineering standards.

- Drive the team through critical milestones in ML model-lifecycle and infrastructure ownership.

- Partner with R&D and other stakeholders to translate research needs into robust, scalable systems.

- Help evolve the platform, including our ongoing migration from Dask to Ray.

We are seeking a talented and self-driven experienced Data Scientist to help advance our machine learning capabilities.This is a key role for someone passionate about leveraging machine learning to solve complex, real-world problems and deliver measurable business impact.

Responsibilities:

Develop and implement state-of-the-art econometric and machine learning models for demand forecasting.
Conduct research and experimentation to evaluate novel approaches for improving accuracy, robustness, and scalability.
Collaborate with cross-functional teams (including product, data engineering, MLOPS and Platform) to deploy ML systems in production.
Clearly communicate complex technical findings to non-technical stakeholders, including product leaders and executives.

We are seeking an MLOps Engineer to help us grow our technical team's capabilities. The ideal candidate has relevant experience in data engineering, preferably within the AI field. Aviation industry experience would be a great addition.

You will be responsible for building and maintaining models and data pipelines that power our data science workflows. You'll play a crucial role in ensuring the accuracy, consistency, and efficiency of the data we use for model training and inference. This involves working with both structured and unstructured data from various sources, leveraging your expertise in data engineering and machine learning to create a robust and scalable system.

We are seeking a detail-oriented and collaborative Senior ML Engineer to help support and maintain our machine learning capabilities. This role is ideal for someone who enjoys working closely with production systems, ensuring reliability, scalability, and explainability of models while enabling research teams to deliver impact faster.



Responsibilities



Collaborate with cross-functional teams to ensure ML systems remain robust, explainable, and aligned with business needs.
Monitor and report on ML model performance, reliability, and explainability metrics.
Participate in model retraining procedures, implement automation and optimization of MLOps pipelines.
Extend and scale monitoring pipelines, including support for new features in development.
Investigate, troubleshoot, and resolve issues in production ML workflows (tiered support from initial triage to root-cause analysis with model owners).
Develop and maintain repositories for feature engineering, inference monitoring pipelines, and artifact monitoring tools.
Perform exploratory data analysis (EDA) on historical datasets to identify quality issues and maintain data health.
Implement and oversee production based adjusters across customer deployments.
Evaluate and track critical ML artifacts such as explainability files, coverage metrics, and alignment of features.
Support development and maintenance of internal tools (e.g., interfaces, registries, and feature monitoring frameworks).
Build and maintain static and temporal features, including seasonality, event-based, and price-related features.

Self-service enablement: Build secure, automated pathways that accelerate development while keeping organizational standards intact.
Architectural modularization: Design Kubernetes-native abstractions - controllers and operators - and decouple infrastructure into independent service lifecycles that support rapid iteration.
Everything as code: Treat infrastructure, policy, and configuration with the same SDLC as application software - versioned, reviewed, tested, and CI-gated.
Proactive reliability: Own production through robust observability, clear SLOs, and high operational hygiene; define alerting that fires correctly and lead blameless postmortems that fix the system.

We are looking for a Data Science Engineer to design and implement the decision-making logic of our Price Optimizer. You will focus on translating complex business rules into mathematical models and production-ready Python code.

Your primary mission is to build the "brain" of our system. You will work at the intersection of Data Science and Product, ensuring our simulation and optimization engines accurately reflect real-world pricing strategies and market dynamics. While you will write production code, you will rely on our Data Engineers for ETL pipelines orchestration and distributed compute scaling.

Responsibilities:

Implement Business Logic: Translate intricate pricing rules and commercial strategies into robust Python code and mathematical constraints.
Refine Optimization Models: Develop and tune the simulation and revenue management algorithms that drive our pricing recommendations.
Write Clean Code: Contribute high-quality, tested, and maintainable code to the core logic repositories.
Analyze & Improve: Use data to validate model behavior and identify edge cases where business rules clash with algorithmic outputs.
Collaborate: Partner with Solution Architects to define logic requirements and with Data Engineers to integrate your models into the Dagster pipelines.

We are seeking an experienced Data Science Team Lead to lead our data science and data engineering efforts and oversee a team of skilled data engineers. This role combines hands-on technical leadership and team management, with responsibilities that include building and scaling data infrastructure to power real-time pricing, large-scale data pipelines, and machine learning products.

You will lead the team through architecture decisions, development, and deployment of mission-critical systems-while growing and mentoring a high-performing team.

Responsibilities

Manage a team of data scientists and data engineers responsible for building robust, scalable, and high-performance data pipelines and infrastructure.
Design, build, and maintain distributed data processing workflows (batch & streaming).
Drive best practices for data quality, validation, testing, and observability.
Own and evolve data architecture in alignment with business and product goals.
Manage sprint planning, task breakdown, code reviews, and performance feedback for your team.
Contribute hands-on to key development tasks and architecture decisions.
Recruit, mentor, and grow the data science engineering team.