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We are seeking a Senior Backend Engineer to join the Sightline detection engineering team. You will design, build, and operate high-scale, low-latency backend services that score and protect web and API traffic against automated abuse, working at the core of our real-time detection platform.
What youll do:
High-Scale Engineering: Design, build, and maintain distributed, high-throughput backend services processing hundreds of thousands of requests per second with strict tens-of-milliseconds latency targets.
End-to-End Ownership: Own services from architecture and implementation to deployment and reliability. This includes full-stack instrumentation (monitoring, alerting, and tracing) to detect and mitigate production issues.
Product Innovation: Implement and evolve real-time detection and decisioning flows within the Sightline Cyberfraud Defense platform, collaborating with security researchers, data science, and product teams.
Cloud-Native Operations: Build and operate services in a Kubernetes environment using a modern GitOps stack (Go, Kafka, Redis, MongoDB, BigQuery, ArgoCD, Pulumi, Crossplane), ensuring robust rollout strategies and safe migrations.
AI-Forward Engineering: Demonstrate a deep passion for the AI-first development frontier and an expert-level ability to leverage assistants and agents to radically accelerate the entire lifecycle - from architectural scaffolding to automated tasks, skills, and complex debugging/testing.
Cross-Functional Collaboration: Partner with adjacent teams to design end-to-end flows that balance security, performance, and customer experience.
Technical Leadership: Contribute to technical design reviews and code reviews, raising the bar for quality and operational excellence across the team.

We are looking for a seasoned, strategic Senior Fullstack Engineer to help shape the future of our work in Agentic AI. This critical role involves end-to-end development of advanced client and server features, handling large-scale data, aggregations, and cutting-edge UI/UX design. You will work on mission-critical technologies, collaborating with engineering, design, and data science teams to deliver impactful solutions.
What you'll do:
Design and implement scalable fullstack architectures using React and Node.js.
Develop and maintain high-performance services and data pipelines, managing large-scale data aggregations.
Collaborate with cross-functional teams - including product, design, and research - to integrate and ship new features.
Troubleshoot complex production issues and optimize system performance.
Champion secure coding practices and clean code standards.

Were looking for a highly technical, automation-driven Hubspot expert to own and optimize our HubSpot ecosystem and the workflows that power our Sales teams. If you enjoy building scalable automations, integrating tools and solving operational challenges with low/no-code vibe coding, youll thrive in this role.
Why Youll Love This Role:
High ownership of GTM systems and automation infrastructure.
Ability to build workflows that directly impact growth and operational efficiency.
Fast-moving environment with room for creativity, experimentation, and innovation.
Meaningful cross-department influence, helping unify Sales, Product, and R&D priorities.
Hiring manager: Nir Slonim, VP M&A (Linkedin profile)
Responsibilities
HubSpot Ownership
Serve as the primary owner of HubSpot across Marketing, Sales, and Service Hubs.
Build and optimize workflows, pipelines, properties, scoring models, and lifecycle automations.
Maintain HubSpot data hygiene, architecture, naming conventions, and user setup.
Automation & Integrations
Design and maintain advanced automations using external no-code tools (Zapier, make.com, and etc.) and working closely with the Product & R&D departments.
Troubleshoot sync issues, workflow conflicts, and integration failures.
Data, Reporting & Insights
Work with Product and Data to define which data is collected and how to visualize it.
Build and maintain dashboards that track sales activity, deal flow, and performance trends.
Process Design & Optimization
Map, refine, and automate processes for lead management, lifecycle stages, routing, handoffs, etc.
Identify operational gaps and implement scalable solutions.
Create documentation, training, and best practices for GTM teams.
Cross-Functional Collaboration
Partner closely with Marketing, Sales, CS, and Product to translate operational needs into system builds.
Support team enablement on HubSpot tools, dashboards, and automations.

We are looking for a Technical Product Manager to drive the development of the internal platforms and tools that power our business. This includes building the back-office systems, acquisition and monetization products that allow us to evaluate, acquire, and scale mobile apps efficiently.
You will also play a role in shaping AI-driven systems that support our acquisition strategy, helping us identify and act on the most promising opportunities. Working closely with engineering, monetization, data, operations teams and the leadership, youll ensure our tools are reliable, scalable, and create real business impact.

Were looking for a curious and analytical Product Analyst to join our Product Analytics team. In this role, youll work closely with Product Managers, Growth teams, and engineers to analyze product performance, uncover insights, and support data-driven product and business decisions across our mobile app portfolio.
Key Responsibilities:
Analyze product performance across user funnels, engagement, retention, and monetization in our mobile apps.
Partner with Product Managers to define success metrics and evaluate the impact of new product features.
Design, analyze, and interpret A/B tests to measure product improvements and optimizations.
Translate product questions into structured analyses and clear, actionable insights.
Define and maintain product analytics events and tracking specifications in collaboration with Product and Engineering teams.
Ensure accurate instrumentation and reliable tracking of user behavior across the apps.
Build and maintain dashboards and reports using Tableau and Looker.
Use SQL to explore large datasets and identify patterns, opportunities, and performance drivers.
Ensure product metrics are clearly defined and consistently used across dashboards and reporting tools.
Present insights and recommendations to product teams and other stakeholders.

Were looking for a data-driven and business-savvy Analyst to join our growing data team.
In this role, youll work closely with our Marketing, Finance, and Sales teams to analyze performance, connect marketing and financial data, and build models that support strategic decisions.
Youll play a key role in translating data into clear business insights that drive growth, efficiency, and profitability.
Key Responsibilities
Partner with Marketing, Finance, and Sales teams to analyze performance, efficiency, and ROI.
Evaluate UA spend, ROAS, and growth metrics across channels, campaigns, and regions.
Build and maintain dashboards and reports in Cursor, Tableau and Looker to track key business and financial KPIs.
Develop and maintain risk models that help guide company decisions and improve forecasting accuracy.
Conduct cohort and funnel analysis to identify performance trends and growth opportunities.
Collaborate with Data engineering and finance teams to align top level metrics with company financial reporting.
Present actionable insights and recommendations that influence both strategy and operations.

We are looking for an experienced Product Manager to lead a portfolio of mobile apps and take full ownership of their performance and revenue growth.
In this strategic role, you will build and execute product roadmaps, define KPIs, create work plans, and conduct market research. With a strong focus on UX/UI, you will manage hybrid monetization models and run hands-on A/B tests to continuously improve product performance.
You will work closely with the R&D, Data, Design, and Growth teams.
This is a significant, high-impact role for candidates with 3+ years of experience in B2C mobile product management, requiring a deep understanding of monetization models and UX strategies.

We are looking for a seasoned and execution driven DevOps Team Lead. In this role you will drive the evolution of our infrastructure and cloud operations empowering our entire R&D organization. You will lead fully the DevOps aspects of the company including strategic infrastructure management within a multi-cloud environment. In this role you will leverage cutting-edge AI technologies to accelerate important DevOps flows. As a technical lighthouse, you will set the standard for engineering excellence, cloud-native architecture, and operational scale. You will work in a global environment with highly-skilled engineering teams reporting to the VP R&D.
What Youll Do?
Build and lead a strong DevOps team fostering a culture of ownership, collaboration, and technical excellence.
Take end-to-end leadership and project management of large-scale cloud infrastructures, driving technical decisions, execution, and outcomes.
Continuously modernize DevOps practices (CI/CD, GitOps, monitoring etc) to drive efficiency, agility, and performance across the organization.
Use AI-powered tools and agentic workflows to improve R&D efficiency.
Design and maintain cloud environments using Infrastructure as Code.
Our stack - Mainly GCP and AWS, Kubernetes, Terraform, Terragrunt, Node.js, Golang and more.

we are looking for a AI Applied Scientist - Insights & Recommendations.
As AI Applied Scientist, youll be at the intersection of advanced technology and meaningful impact with clear business cases. You will have access to real-time (RT) big data from multiple Sensors & Data sources, and a chance to discover, explore research, and develop cutting-edge models that directly impact industrial manufacturers around the globe. As part of the Applied AI/ML Science team , you will have the opportunity to continuously grow and learn while building and deploying advanced models directly into our products, and stay at the forefront of the world's technologies, witnessing firsthand their impact on our customers.
A Day In Your Life:
Own the algorithm lifecycle from problem definition and data analysis to prototyping and delivering production-ready models.
Combine classic methods with inference techniques: statistics, Time series, Deep learning, anomaly detection, Recommendation Systems, Transformers, and Inference to extract data-driven insights.
Research, design, and build Agentic applications on top of sensor time-series data, textual data, images, ML applications, and other various data sources.
Engage with customers and collaborate with our product team to develop innovative solutions utilizing new types of data.
Leverage modern technologies: work with cloud-based big data platforms for storage, distributed processing, LLMs and agents (GPT, Claude, Gemini), defining & building Gurdrails, reasoning chain as function call, planning, ML-based vectorization and embeddings, and stream analysis.

You will join the Deployment Platform team, which puts technology directly in the hands of customers, field technicians, and partners. As an AI-Native mobile engineer, your primary development framework is Flutter (with native iOS and Android used when needed), building the mobile application central to field deployment. You are also comfortable across the full stack to ensure end-to-end feature delivery. Most importantly, you will shape the next generation of agentic installation experiences that define how industrial AI reaches the factory floor. This is a high-impact role at the intersection of mobile, IoT, and AI.
A Day In Your Life:
Design, build, and maintain high-quality, cross-platform mobile applications for iOS and Android using the core Flutter/Dart stack.
Lead the design and shipment of agentic-first workflows for guided installation, leveraging LLMs (Azure OpenAI, Gemini) to assist technicians and automate decision-making in the field.
Implement complex IoT/Hardware integration features, including NFC provisioning, AR field tools, and indoor positioning/navigation.
Contribute to backend and frontend services/APIs to ensure seamless, end-to-end feature delivery.
Architect and maintain a scalable, modular monorepo, ensuring robustness through strong state management (BLoC/RxDart) and comprehensive test coverage.
Collaborate with product and design teams to deliver exceptional UI/UX, including adaptive and RTL-aware layouts.