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We’re looking for a Senior Backend Engineer to join our R&D team and play a key role in building the company’s core technology from the ground up.
In this role, you’ll take end-to-end ownership of our backend systems - from architecture and technical design, through hands-on development, to production and scale. You’ll lead the creation of reliable, scalable foundations that bring Mami’s product vision to life.
At Mami, engineering goes far beyond writing code. You’ll work closely with every function in the company to design and build systems that solve meaningful business problems and directly impact the product and users.
What You'll Do Build and lead complex, scalable backend systems that power our core web platform Design and implement solid architectures with a strong focus on performance, reliability, and maintainability Champion a "Full-cycle" engineering culture, owning everything from design to production-grade deployment Collaborate closely with engineering and product teams to ensure efficient, well-integrated systems across platforms Continuously raise the bar on code quality, best practices, and engineering standards

If you're passionate about technical leadership, enjoy solving complex architectural challenges, and want to make a meaningful impact on millions of users, wed love to have you join us.

Responsibilities

Critical, cross-functional engineering initiatives from design to development and deployment, ensuring quality and scalability

Participate in technical decision-making and knowledge sharing across multiple teams

Collaborate with Product, UX, and other stakeholders to deliver seamless and data-driven experiences

Evaluate and introduce new tools, technologies, and practices that raise the bar for engineering excellence

Guide by example - service ownership, observability, and operational best practices across the engineering organization

Promote a culture of high standards, clean code, testing, and continuous improvement

If youre all that and looking to lead, invent, and grow professionally you should definitely consider applying to join us on our journey.

Key responsibilities

Lead and own full-cycle (from idea to production) projects that are directly used by and impact millions of people

Work closely with the product & UX to define product requirements and execute the development plans

Design system architectures, select/ evaluate tools

Build cloud-native microservices

Mentor, and grow the team, our practices, and our technology stack

Were looking for a Hands-on AI & Data Engineering Manager to lead a team building intelligent, large-scale consumer experiences powered by AI. In this role, you will lead engineers developing AI-driven products, work closely with data scientists, product managers, and designers, and ensure that AI capabilities-from LLMs and agents to product data insights-are translated into reliable, scalable production systems. You will be responsible not only for delivering AI features, but also for analyzing product data and user behavior to continuously improve AI performance and product outcomes. This is a technical leadership role combining engineering management, architecture ownership, AI product development, and data-driven decision making.

Key responsibilities

Lead a team of data scientists, data engineers and product analysts

Own the delivery of AI-powered product capabilities, from research and experimentation to production and operation

Drive excellence, code quality, and best development practices

Provide technical direction and hands-on guidance for complex AI systems

Drive the integration of LLMs, AI agents, and intelligent workflows into core consumer experiences

Ensure AI solutions are safe, scalable, observable, and continuously improving

Lead initiatives around product data analysis and experimentation

Analyze user interactions with product features to improve accuracy, UX, and business impact

Partner with product teams to define metrics, dashboards, and experiments that guide product improvements

Design system architectures for AI-enabled applications at scale

Evaluate and select technologies for AI platforms and data pipelines

Guide the development of prompt engineering frameworks and centralized prompt management

Ensure robust monitoring, evaluation, and feedback loops for AI outputs

Translate product and business goals into technical roadmaps and execution plans

Drive alignment between AI capabilities and measurable product outcomes

Were looking for a BizOps Student to join our team and support the day-to-day operations of our GTM organization.
This is a hands-on, system-focused role working closely with BizOps Managers across Sales, SDR, and Customer Success. Youll help ensure our CRM and operational systems are accurate, reliable, and running smoothly, while building the foundations that allow the team to scale.
The role is execution-first, with a strong focus on data quality, system monitoring, and structured problem-solving, and offers a clear path to grow into a full BizOps role.
BizOps is responsible for ensuring that our systems, processes, and data actually work across the GTM organization.
The student role is a key part of how we scale this:
Taking ownership of high-volume, high-importance operational work
Creating visibility and structure
Allowing the team to focus on higher-leverage problems and system design
This is not just a support role - its an entry point into BizOps, with real impact and a clear growth path.

we are looking for a product-first, AI-native Data Analyst to shape how our Product organization understands signup, activation, feature adoption, and launches.
This is a high-ownership role combining strong business judgment with deep technical capabilities. You will contribute to strategic initiatives, work closely with Product Managers, engineers, and senior leadership, and help shape how decisions are made across the company.
You will work primarily with dbt, BigQuery, Looker, and GitHub, using AI-enabled tools such as Cursor, MCP integrations, n8n, and OpenClaw to accelerate and automate your work.
For us, AI-native means more than generating SQL in a chatbot. It means giving agents the right context and tools, validating their output, and turning repeatable processes into reusable workflows.
Product data is consumed throughout . Success in this role therefore requires excellent communication, proactive ownership, and the ability to translate complex analysis into practical business recommendations.
Key Responsibilities:
Partner with Product Managers and engineers to define events, funnels, activation criteria, adoption metrics, and post-launch measurement.
Analyze high-impact questions involving signup conversion, first-day behavior, feature adoption, retention, and release performance.
Contribute to strategic projects and provide leadership with trusted insights and actionable recommendations.
Define and validate analytics events, then integrate them into our usage, 360, and feature-usage models.
Extend and validate dbt models, owning changes through pull request and CI.
Build and maintain focused Looker dashboards that support product decisions.
Investigate anomalies, usage drops, tracking failures, spam, and inconsistent metrics.
Turn repeatable analyses and operational processes into agent skills, rules, and automated workflows.

As a Cloud Architect, you will be responsible for designing, leading, and delivering cloud and on-prem management platforms. Your expertise in interfaces, components, and design patterns will be essential in building high-scale platforms and ensuring technical synchronization across all R&D functions. You will work in intensive collaboration with multidisciplinary interfaces and teams to drive innovation and deliver optimal solutions.

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The role
Design, lead, and deliver cloud and on-prem management platforms.
Specialize in interfaces, components, and design patterns.
Lead and perform proof-of-concepts (POCs) for new concepts and approaches.
Build high-scale platforms to meet business requirements.
Technically synchronize all R&D functions to create a complete and coherent solution.
Collaborate intensively with multidisciplinary interfaces and teams.
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If you have a strong background in iOS development, excellent leadership skills, and a passion for building innovative applications, we want to hear from you!

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The role
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Lead and manage a team of iOS developers, providing technical guidance, mentorship, and support to ensure the successful delivery of high-quality iOS applications.
Collaborate with cross-functional teams, including product managers, designers, and backend developers, to define project requirements, scope, and timelines.
Drive the architectural design and technical decision-making processes for iOS projects, ensuring scalability, performance, and maintainability.
Hands-on iOS development using SwiftUI and UIKit, actively contributing to the codebase and conducting code reviews to ensure best practices are followed.
Conduct regular performance evaluations, provide constructive feedback, and identify areas for skills development and training within the iOS team.
Stay up-to-date with the latest trends and advancements in iOS development and bring innovative ideas and solutions to the team.
Act as a point of contact for clients or stakeholders, addressing technical queries, providing project updates, and managing expectations.
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we are looking for an AI-native Data Analytics Team Lead to lead our analytics team and shape how data is used to drive business decisions across the company.
This is a hands-on leadership role combining people management, strong business understanding, and technical leadership. You will lead and develop a team of analysts, set technical and analytical standards, own the teams priorities, and partner with stakeholders and senior leadership on high-impact initiatives.
You and your team will work primarily with dbt, BigQuery, Looker, and GitHub, while using AI-enabled tools such as Cursor, MCP integrations, n8n, and OpenClaw to automate workflows and scale how the team works.
Success in this role requires strong leadership, technical depth, business understanding, and the ability to turn complex data into clear, actionable recommendations.
Key Responsibilities:
Lead, manage, and develop a team of Data Analysts, including setting goals, providing feedback, and supporting their professional growth.
Own the teams priorities and analytical roadmap, ensuring the team focuses on the highest-impact business needs.
Define and drive technical and analytical standards across data modeling, SQL, dbt, testing, code reviews, and BI.
Partner with stakeholders and senior leadership to understand business needs, define KPIs, and translate data into actionable recommendations.
Lead high-impact analyses and guide the development of reliable, scalable data models and Looker dashboards.
Ensure data quality and lead investigations into anomalies, tracking issues, and inconsistent metrics.
Drive AI-native ways of working by turning repeatable analyses and processes into reusable, automated workflows.
Stay hands-on with data, code, and analysis when tackling complex or high-impact problems.

we are seeking a skilled and experienced DevOps Engineer to design, plan and implement scalable, reliable and robust system infrastructure to support the companys rapid business and traffic growth.
You will join an innovative, high-performance team and work with cutting-edge technologies in a dynamic and agile environment.
What you'll be doing:
You will take an active part in the challenge of managing a highly available and fault tolerant production environment.
You will assist in identifying and resolving performance concerns and operational bottlenecks, debug complex pitfalls and advise on system architecture solutions.
You will build, design and maintain self-serve devex tools to increase development velocity and satisfaction.
You will push and impact our systems to be more cost effective, performant and simple to use and extend.

Design, build, and maintain our full product suite, including backend services, mobile applications (React Native), and web products.
Lead development of high-quality, performant cross-platform mobile experiences while ensuring strong integration with backend and web systems.
Contribute to architectural decisions, code quality standards, and long-term scalability across mobile and web platforms.
Mentor and support other engineers through code reviews, technical guidance, and close collaboration.

Design, build and maintain our full product suite, including backend services, mobile applications, and web products.
Work with engineers, product managers, and designers to craft world-class experiences and participate in all aspects of the project lifecycle.
Take part in the early stages of the product and help set the groundwork for the future of the engineering team and the company.

We are looking for a Mobile Infrastructure Team Lead to lead the architecture, development, and evolution of our mobile platform foundations.
This role combines technical leadership and hands-on development, with a strong focus on scalability, performance, and developer experience. You will be responsible for setting the technical direction of our mobile infrastructure while leading a team of engineers and working closely with cross-functional stakeholders.
Key Responsibilities:
Own the mobile infrastructure domain end-to-end (architecture, tooling, reliability), and drive technical standards and best practices across React Native and native (iOS/Android)
Lead and mentor a team of mobile engineers, fostering high engineering standards, ownership, and a collaborative culture
Design and build scalable mobile infrastructure to support development and deployment
Lead implementations across key areas such as state management (MobX), geolocation, WebView, encryption, backend communication, and performance optimization
Own and evolve CI/CD pipelines, driving automation of build, testing, and deployment processes to ensure fast and stable releases
Partner with Product, Design, QA, and DevOps to align priorities and execution, and act as the main point of contact for mobile infrastructure across R&D

In this senior role, you will demonstrate prescriptive solution-selling expertise by developing deep account strategies for large-scale organizations, focusing on Professional Services (PS) and Managed Services (MS).

You will provide leadership in strategic engagements, interacting with C-level executives and leading cross-functional teams (including solution architects, delivery managers, and consultants) to close complex, high-value digital transformation deals. The ideal candidate has extensive experience in the Israeli enterprise market, with a deep understanding of navigating large organizational structures, managing long-term relationships, and driving business value through the Salesforce ecosystem.



Summary of Experience

Enterprise Ownership: Own the end-to-end sales cycle for large, complex deals-from initial relationship building to scope definition, negotiation, and contracting.
C-Suite Advisory: Act as a trusted advisor to high-level decision-makers, aligning capabilities (Core clouds, Industry clouds, and data solutions) with their business transformation goals.
PS & MS Growth: Drive revenue across the entire project lifecycle, from large-scale Professional Services (implementation, migration, and customization) to long-term Managed Services (ongoing optimization, support, and evolution).
Account Expansion: Identify signals for large-scale up-sell and cross-sell opportunities within existing enterprise accounts, maximizing the lifetime value of the Salesforce platform.

We are looking for a talented and experienced Mid-Level Data Engineer with a passion for data and cloud technologies to join our team. In this role, you will be a key player in designing, developing, and maintaining our AWS and Databricks-based data platform. You will bridge the gap between robust Data Engineering, Database Administration (DBA), and high-performance Analytics Engineering.

The ideal candidate understands the Lakehouse architecture, has experience managing modern cloud data warehouses like Snowflake, and possesses the ability to build scalable ETL pipelines that drive data-driven business decisions.

Key Responsibilities

End-to-End Pipelines: Develop and maintain complex ETL/ELT pipelines using Python/PySpark on the Databricks platform, as well as loading and transforming data within Snowflake.
Data Architecture: Implement and manage data layers following the Medallion architecture (Bronze, Silver, Gold) using Delta Lake.
Optimization & Analytics: Set up and manage Databricks SQL Warehouses, perform query optimization, and utilize internal visualizations for rapid data exploration.
Cloud Infrastructure: Leverage AWS cloud services to manage data storage, compute resources, and secure data movement.
DBA & Performance Tuning: Act as a custodian for our data platform-managing indexing, clustering, vacuuming, and performance tuning across both Delta Lake and relational/warehouse environments to ensure cost-efficiency and high speed.
Data Modeling: Design data models (Star Schema / Snowflake) in the Gold layer to ensure optimal performance for BI tools (e.g., Power BI, Tableau).
Data Governance: Manage metadata, permissions, and lineage using Unity Catalog and platform-specific access controls.
Quality Control: Implement automated Data Quality tests as an integral part of the CI/CD data pipelines.