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Were looking for a Junior Product Manager with a strong technical foundation, ideally from a networking, infrastructure, or software development background, to join our growing product team. If youve worked with network protocols, traffic flows, or system configuration in any capacity, you already speak the language of our product. Youll work closely with our Product Lead and engineering team to help scale our product development process, improve feature delivery, and bring the technical depth our cybersecurity SaaS environment demands. This is a unique opportunity to gain hands-on product experience in a fast-paced, security-driven B2B environment - and to grow into a core member of the product team as we scale.

What Youll Do
Collaborate with the Product Team Lead to translate product strategy into detailed specifications and user stories
Take ownership of individual features from concept to release
Work closely with engineers to refine scope, edge cases, and technical requirements
Write and maintain clear product technical documentations and technical guides
Support the QA process by managing test cases and validating features across environments (cloud/on-prem)
Contribute to competitive research and identify feature gaps or technical differentiators

We're looking for an experienced hands-on Software Engineering Team Lead to lead a highly skilled team of backend and frontend engineers through implementation, delivery, iteration, and build scalable systems that serve our customers.
Responsibilities:
Foster a positive, collaborative culture and grow the teams capabilities.
Lead and mentor engineers to ensure on-time delivery, quality development, productivity, and efficiency by conducting and lead design reviews & code reviews.
Work together with product managers to translate requirements into scalable technical solutions.
Balance refactoring and evolution with steady delivery of new features.
Drive a culture of technical excellence, ownership, and continuous improvement.
Oversee system reliability, monitoring, performance optimization and incident response.

We are looking for an Escalation Engineer (part of the Engineering organization) to support escalation points from both the Customer Success organization as well as internally within the engineering teams. This position may also include interfacing with customers.
Responsibilities:
Troubleshoot, debug, analyze logs, profile code & provide temporary or permanent solutions.
Work closely with engineering teams to propose fixes or temporary workarounds for critical customer issues.
Build supporting automation to improve productivity (of both yourself and the team).
Understand customer use cases and work closely with Customer Success Engineers and Solution Architects to be an effective channel between Engineering teams and Customer Success.
Take complete ownership and follow-up on escalations.
Collaborate cross-functionally to solve difficult technical problems.

We're looking for a talented Backend Engineer to take a significant role in the development of a highly robust, multi-cloud, multi-region SaaS platform.
As a Backend Engineer, you will be part of a small and high-performing team, developing a SaaS platform that provides technical solutions for DevOps.
This role includes working in a multi-cloud environment (AWS, GCP, Azure), developing microservice architecture with Golang. You will work in a dynamic and agile environment with the most cutting edge technologies.

Were looking for a hands-on AI Engineering Tech Lead to define and drive AI-native engineering practices, lead the architecture and development of scalable, intelligent systems, and embed AI across the software development lifecycle. This role involves providing technical leadership, identifying and solving architectural challenges, and collaborating cross-functionally to deliver high-impact, production-grade solutions.
Responsibilities:
Define and codify AI-native engineering practices, patterns, and guidelines to elevate the software development lifecycle.
Provide technical leadership and mentorship, fostering an AI-first engineering culture across teams.
Architect and lead the development of AI-native system frameworks that emphasize modularity, extensibility, and adaptive scalability.
Identify architectural risks, systemic bottlenecks, and long‑term scalability concerns - and proactively drive solutions.
Collaborate closely with Product, Customer success, Security and Business stakeholders to ensure technical solutions deliver real business impact.

Were hiring a Customer Success Engineer to work directly with customers to onboard, implement, troubleshoot, and optimize the platform- across Linux, Kubernetes, IAM, and secure access workflows. Youll be the primary technical contact: diagnosing issues, guiding best practices, collaborating with Product/Engineering on escalations, and turning learnings into repeatable runbooks that keep deployments stable and effective.
Responsibilities:
Deliver a smooth onboarding experience and drive adoption/expansion for existing customers.
Proactively identify opportunities to drive customer success and product adoption through architectural guidance, hands-on enablement, and technical planning.
Investigate and resolve our cases (secret access, authentication, certificate workflows, remote access) while guiding secure configuration and best practices.
Reproduce issues in test environments (Linux, Docker, K8s) to isolate root causes.
Write KB articles to streamline troubleshooting and improve customer experience.
Learn customers business and challenges; log and communicate requirements; partner with Product & Engineering to escalate/validate fixes, contribute to team processes, internal tooling, and advocate for customers.
Act as a trusted advisor and support critical issues.

we are looking for a Senior Full-Stack Developer.
As a Senior Full-Stack Developer , you will be at the core of building and enhancing our B2B social media management platform. You will develop high-quality software, contribute to architectural decisions, and collaborate with cross-functional teams to deliver impactful features. With a strong focus on best practices, scalability, and performance, youll help shape the technical direction of our platform. If you're passionate about solving complex challenges and working across the stack, wed love to hear from you!
What You'll Do:
Develop and maintain high-quality software solutions, from planning and design to testing, deployment, and maintenance.
Actively participate in technical discussions and contribute to architectural decisions.
Write clean, efficient, and scalable code while ensuring best practices in software development.
Collaborate closely with cross-functional teams, including Product, Design, and other developers, to deliver features effectively.
Provide technical guidance, share knowledge, and mentor other developers to improve overall team expertise.

we are looking for a Full-Stack Team Lead.
What You'll Do:
Manage all aspects of software development - from planning new features, designing software solutions, testing, and quality management to release and maintenance
Contribute and participate in technical discussions and architectural decisions
Control project execution, including estimations, quality control, and timely delivery
Lead, grow, mentor, and manage a team of talented software engineers
Work in close collaboration with Product, Design, and other Development teams

In this role, you will be responsible for architecting and maintaining scalable, secure, and highly available environments across AWS and on-premises infrastructure. You will drive automation initiatives, improve CI/CD processes, enhance system reliability, and support engineering teams in delivering production-ready solutions. The ideal candidate is an AWS expert with deep Kubernetes experience, strong infrastructure automation skills, and a passion for operational excellence.

Responsibilities:

* Design, implement, and maintain scalable, secure, and highly available AWS and hybrid infrastructure
* Build, manage, and optimize Kubernetes platforms and containerized workloads
* Develop and maintain Infrastructure as Code (IaC) using Terraform
* Build and optimize CI/CD pipelines using GitHub Actions, Jenkins, and related technologies
* Drive automation initiatives to improve reliability, scalability, and operational efficiency
* Monitor, troubleshoot, and resolve production issues while implementing observability solutions
* Collaborate with development, security, and customer-facing teams to improve deployment and operational processes

Advantages:

* Experience with Microsoft Azure cloud services
* Experience with monitoring and observability tools such as Prometheus, Grafana, ELK/OpenSearch, or Datadog
* Experience with configuration management tools such as Ansible
* Knowledge of security best practices, vulnerability management, and cloud security
* Experience working in regulated or security-focused environments

Were looking for an experienced, highly motivated Backend Team Lead to join our Ads group and lead a team of talented senior backend developers responsible for developing and maintaining a high-traffic, low latency microservices-based system.
Responsibilities
Lead, mentor, manage and inspire a diverse agile team of backend developers across different locations, alongside hands-on coding
Actively participate in the design, development, and maintenance of backend systems and applications while analyzing business requirements to create scalable, high-performing, and testable solutions
Collaborate closely with product managers, client developers, scrum masters, and other stakeholders to deliver high-quality solutions
Effectively manage and integrate the contributions of a full-stack web developer within the backend teams scope.

As we scale our portfolio of live automations, were looking for an experienced AI Automation & Agent Engineer to take on a broad and high-impact role. Youll lead new automation projects from ideation to production, own the reliability of existing systems, and serve as the go-to expert helping our employees get the most out of AI tools - especially Claude Code. This is a hands-on, cross-functional position at the center of how we adopt and scale AI internally.
Responsibilities
Lead Automation Projects:
Partner with department leads across sales, support, finance, and HR to identify high-impact AI and automation opportunities.
Design and build LLM-based workflows, integrating APIs, MCP servers, and internal tools.
Develop agent-like automations and internal copilots that augment decision-making and execution.
Own the full lifecycle - from ideation and process design through development, testing, and production launch.
Present project plans, progress updates, and outcomes with measurable impact to stakeholders at all levels.
Build AI Systems & Integrations:
Build robust, maintainable workflows using N8N, Claude Code, and other orchestration tools.
Integrate across systems using REST APIs, webhooks, and external/internal tools.
Design reusable patterns for skills, agents, and workflows that can scale across teams.
Continuously evaluate and adopt new AI tooling, MCP capabilities, and agent frameworks.
Maintain & Improve Live Systems:
Monitor, triage, and resolve issues across all live AI automations, copilots, and agents.
Identify recurring failure patterns and implement systemic improvements to reliability, performance, and cost.
Ship incremental improvements and new capabilities quickly and safely.
Maintain clear documentation for workflows, agents, and system behavior.
Drive AI Adoption, Skills & Governance Across:
Act as the internal expert and first point of contact for employees using Claude Code and AI tools.
Help teams build and scale AI skills - from basic usage to advanced workflows and agent design.
Manage and optimize AI usage and performance across the organization (tokens, costs, reliability, adoption).
Build and evolve an internal AI control tower - providing visibility into usage, performance, governance, and impact.
Run onboarding sessions, workshops, and create practical guides that empower teams to work independently with AI.
Guide teams through MCP integrations, tool configurations, and best practices.
Stay current on Claude Code updates, new MCP capabilities, and emerging AI tooling - and proactively share relevant developments with the team.

Required Data Engineering Manager
Description
We are one of the most popular and downloaded apps in the world. Working with us provides a unique opportunity to influence hundreds of millions of our users and to be part of the journey that makes us a super-app. Our mission is to make peoples lives easier by enabling meaningful connections, from precious moments with family and friends, through managing business relationships to pursuing their passions.
As an Engineering Manager in the data department, youll build and scale our data platform and data apps that powers our business insights. Youll design and implement robust pipelines to process billions of daily records, leveraging cutting-edge cloud technologies to transform data into actionable intelligence.
If youre passionate about data engineering and driving business growth through insights, wed love to hear from you!
Responsibilities
Lead and grow Data Engineering and Machine Learning teams in a high-scale environment (tens of billions of events per day).
Own the design and evolution of a self-service data platform enabling internal teams to easily build, ship, and consume data products.
Architect and scale batch and streaming pipelines powering core business and ML use cases.
Drive production ML systems end-to-end (recommendation, ranking, prediction) with direct business KPI impact.
Ensure reliability, scalability, and observability of large-scale data and ML systems in production.

Required Data Scientist
Description
We are one of the most popular and downloaded apps in the world. Working with us provides a unique opportunity to influence hundreds of millions of our users and to be part of the journey that makes us a super-app. Our mission is to make peoples lives easier by enabling meaningful connections, from precious moments with family and friends, through managing business relationships to pursuing their passions.
Connecting people across the world is a complex problem with many machine-learning applications. The purpose of this role is to implement mathematical models and algorithms to solve complex business problems in recommendations and classification. Successful outcomes will significantly impact our hundreds of millions of daily active users around the globe.
As a Data Scientist, you will work in a highly collaborative environment with extensive amounts of data to research and develop deep learning models in the domains of dating, moderation and content segmentation and apply them to tasks such as recommendation systems and analytics at a high scale.
You will have a chance to grow and develop professionally by owning data-driven projects from the research phase through to production, collaborating with highly experienced researchers.
Responsibilities
Develop classical machine learning and deep learning models that will impact company goals directly.
Work with partner teams to design and implement solutions in recommender systems, classification and prediction for given objectives.
Find solutions to complex problems in social network recommendations, understand the data generation process and the challenges involved with working with big data.
Analyze and leverage the extensive data received from our application to enhance model performance and accuracy.