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We are looking for a CRM & Lifecycle Manager to own and optimize our customer lifecycle and unlock new growth opportunities.
This role sits at the intersection of data analysis, lifecycle strategy, and project execution. You will analyze customer behavior across the funnel, identify retention opportunities, and lead strategic initiatives such as VIP programs, referral loops, and loyalty frameworks to increase repeat purchases, reduce churn, and grow customer lifetime value. This is a hands-on role - turning insights into high-impact retention initiatives.
Responsibilities
Omnichannel Execution: Manage day-to-day customer communication channels including email marketing, SMS, push notifications and newsletters to keep customers engaged and informed.
Strategy & Lifecycle Mapping: Ideate and implement CRM strategies across the customer journey. Develop and execute retention initiatives aimed at reducing churn, increasing LTV, and driving long-term customer engagement
Automation & Workflows: Build, monitor, and continuously optimize complex trigger-based campaigns and automated journeys using HubSpot and other third-party tools.
Content & Creative: Develop creative content and marketing messaging tailored to different customer segments and lifecycle stages, balancing brand voice with performance.
Data-Driven Optimization: Run A/B tests on messaging, timing, and segmentation. Translate these insights into actionable improvements in your channel mix.
Reporting & Analytics: Build and maintain dashboards to track CRM effectiveness, analyze funnels, and retention KPIs using tools like Tableau, Mixpanel, or Data Studio.
Retention & Loyalty: Support and evolve loyalty and referral programs to drive repeat usage and advocacy.
Cross-Functional Collaboration: Act as the project owner for lifecycle initiatives, working with Product, Data, and Engineering to ensure technical scalability and seamless integration.

We're looking for someone who thinks like a business owner, makes data-driven decisions, builds high-performing teams, and knows how to drive growth at a global scale.



What You'll Do

Lead the company's marketing strategy and own growth targets.
Manage large-scale performance marketing operations with significant media budgets.
Build, develop, and mentor a high-performing marketing team while establishing scalable processes.
Work closely with SDR, Sales, and Executive teams to align marketing with business objectives.
Define the company's creative direction across both performance marketing and brand, including social media, website, and all digital assets.
Analyze data, identify trends, and translate insights into business decisions and growth opportunities.

In this role, youll take full ownership of product initiatives end-to-end, from identifying opportunities and shaping strategy to launching, testing, and continuously improving AI-driven experiences.

Youll work closely with engineering, design, data science, and growth teams to deliver AI features that improve onboarding, engagement, retention, and user value.

What Youll Do

Own AI product features from discovery through launch and continuous improvement
Identify user problems and translate them into clear product requirements, experiments, and success metrics
Build and ship AI-powered capabilities using LLMs, personalization, recommendations, and automation
Drive Product-Led Growth through smarter onboarding, activation, engagement, and retention experiences
Partner closely with engineers, designers, and data scientists to bring AI solutions to life
Run experiments, including A/B tests, prompt iterations, model improvements, and funnel optimizations
Use data, user research, and market insights to make fast, high-quality product decisions
Use AI design and prototyping tools to quickly explore product ideas, while applying strong UX/UI judgment to refine flows, evaluate quality, and ensure a polished user experience

We are looking for an organized, proactive, and people-oriented Office Manager & Employee Welfare to join our team. This role combines office management and employee welfare, with responsibility for ensuring a well-organized, positive, and engaging workplace.

The ideal candidate is highly organized, service-oriented, hands-on, and enjoys working with people while managing multiple tasks and priorities in a fast-paced environment.

Responsibilities:

Office Management

Manage the day-to-day operations of the office and ensure a well-organized, welcoming, and productive work environment.
Manage relationships with office suppliers, vendors, and service providers.
Handle office supplies, equipment, inventory, and maintenance.
Coordinate repairs, cleaning, catering, and other office services.
Manage office-related purchases, invoices, and expenses.
Coordinate meetings, events, and internal office activities.
Ensure the office is maintained to a high standard at all times.
Support employees with day-to-day office-related needs and requests.
Employee Welfare

Own and manage employee welfare activities and initiatives throughout the year.
Plan and coordinate company events, team activities, celebrations, holidays, and employee engagement activities.
Manage employee gifts, birthdays, milestones, and special occasions.
Develop creative initiatives to improve employee satisfaction, engagement, and overall workplace experience.
Gather employee feedback and proactively identify opportunities to improve the employee experience.
Coordinate catering, snacks, lunches, and other employee perks.
Manage office celebrations and company-wide activities.
Work closely with management to plan and execute employee engagement and welfare initiatives.

We are looking for an experienced and hands-on QA Lead to establish and lead the Quality Assurance function for an advanced Industrial AI platform that combines Industrial Connectivity, Edge Computing, Cloud Technologies, and AI-driven solutions.

This is a unique opportunity to build the QA function from the ground up while taking ownership of quality across a complex and evolving software platform.

The role combines hands-on testing, test automation, quality strategy, process definition, and close collaboration with Software Engineering, AI, and DevOps teams.

Initially, you will be the primary QA professional within the organization, responsible for defining methodologies, building testing capabilities, and ensuring high product quality. As the organization grows, you will have the opportunity to expand and lead a small QA team.

Job Responsibilities
Establish and lead the QA function across the organization's software products.
Define and implement QA methodologies, standards, processes, and best practices.
Create and maintain test strategies, test plans, test cases, and quality metrics.
Design, develop, and maintain automated test frameworks and automated test suites.
Perform hands-on manual and automated testing across software releases.
Validate functionality across Cloud, Edge, and AI-enabled system components.
Test web-based user interfaces, backend services, APIs, and system integrations.
Collaborate closely with Software Engineers, AI and Data Science teams, and DevOps engineers to ensure product quality throughout the development lifecycle.
Define and implement quality gates for software releases.
Identify, document, track, and help resolve software defects.
Drive continuous improvements in software quality, testing coverage, and release confidence.
Contribute to performance and scalability testing initiatives as the platform evolves.
Help build and grow the QA organization over time.

We are looking for a Senior Full-Stack Engineer to join us in building a new production-grade system for the enterprise from scratch. This is a role for an experienced engineer who knows what it takes to bring such a system to production end to end, and treats AI as a core part of the toolkit, both as a force multiplier in how they build and as a first-class capability in what they build. In this role, you will be a key member of our growing team of developers, data scientists, and analysts. You will build a complex, data-intensive system that is powered by LLMs and intelligent agents, and provides a delightful experience to our users.
Responsibilities:
Help architect and build a new AI-native system from the ground up, making foundational design and technology decisions.
Own features end to end, from design through production, deployment, and maintenance.
Build AI-powered product features - integrate LLMs, RAG pipelines, agents, and ML models into production with attention to performance, reliability, guardrails, and observability.
Work AI-natively - use AI coding assistants and agentic tools to accelerate design, implementation, testing, and review, while owning correctness and quality.
Establish and improve the platforms, patterns, and tooling the team builds on.

We are looking for a Senior Product Manager to join our Analytics team within the Measurement group. In this role, you will own a core analytics domain used daily by global advertisers to measure, interpret, and optimize their marketing performance. You will work at the intersection of large-scale data, attribution complexity, privacy-driven measurement changes, and AI-powered capabilities - shaping how customers understand and rely on their marketing data.

This is a high-impact, highly visible role with direct influence on customer trust, product strategy, and the evolution of our analytics platform.

What youll do
Own a core Analytics domain end-to-end - from discovery and strategy definition to execution, launch, and continuous improvement.
Define and drive the roadmap for dashboards, metrics, and data experiences serving enterprise marketing teams.
Balance stability, scalability, and innovation in a complex, data-intensive environment.
Lead initiatives that modernize and consolidate analytics capabilities across multiple attribution sources.
Shape the integration of AI-powered capabilities into analytics experiences, enhancing how customers interpret performance data.
Work closely with R&D (Backend, Frontend, Data Engineering) to build scalable, high-performance analytics products.
Partner with Sales and Customer Success to understand customer needs, support adoption, and strengthen trust in our measurement solutions.
Engage directly with customers to validate product direction and identify opportunities to improve clarity, usability, and performance insights.
Drive prioritization in a high-demand environment with multiple stakeholders and competing initiatives.

We empower enterprises and service providers with cutting-edge Storage platforms that redefine performance, reliability, and cyber resilience at scale. We are seeking a Scale TEST team leader to lead our newly Scale Testing team, responsible for validating the iBox under maximum real-world scale. combining features, protocols, capacity, and traffic simultaneously to expose issues that only emerge at the limits of the system. This role sits at the intersection of functional testing, performance testing, and customer-representative system design, ensuring the iBox holds up not just to isolated stress, but to the full complexity of production-scale deployments. The role is expected to be approximately 75% hands-on, directly involved in TEST design, execution, and investigation alongside the team.
Responsibilities:

* Form and Lead a team of scale TEST engineers, hiring and guiding them through complex, large-scale TEST design, execution, and root-cause analysis
* Design and execute tests that combine multiple features, protocols, and workloads concurrently at maximum scale (pools, volumes, snapshots, replication, etc.)
* Build and maintain customer-representative testbeds that mirror real-world production configurations at scale
* Drive high-volume, sustained traffic scenarios alongside feature and capacity scaling to surface interaction effects and edge-case failures
* Investigate and analyze complex, multi-variable system issues that arise only under combined scale conditions
* Participate in technical reviews - requirements, design, TEST design, and field reports - bringing a scale/ system -limits perspective
* Set up and maintain long-running, large-footprint hardware and software TEST environments
* Collaborate closely with Performance, system TEST, Interoperability, R&D, Product Management, and Support to ensure scale considerations are built into product design early
* Define and evolve the team's scale testing methodology, tooling, and metrics

We are looking for a GenAI & Competitive Intelligence Engineer to join our Competitive Intelligence team. This role combines deep technical expertise with a builder's mindset to design, implement, and maintain advanced AI-powered systems for automating knowledge collection, generating competitive insights, and ensuring broad internal knowledge sharing across the organization. You will spearhead AI solution projects from initial concept through execution and widespread adoption.

As a GenAI & Competitive Intelligence Engineer , you will
Main role: Build, implement, and maintain the AI-powered intelligence stack, using LLMs, agentic capabilities, MCPs, Skills, and advanced RAG, to automate data collection, analysis and sharing
Make knowledge impossible to miss inside . Build the competitive intel teams interfaces that get the right competitive insight to the right stakeholder at the right time
Drive projects from concept to execution to delivery
Evaluate and recommend ML and AI tools and frameworks to enhance productivity and effectiveness
Ensure the scalability and reliability of LLM-based system architectures
Engage with requirement gathering and product discussions with internal customers
Be the focal point for collaborating with IS, IT and data science teams
Have solid understanding of various aspects of the software development supply chain, including DevOps, DevSecOps and MLOps, and conduct in-depth technical research around them

Were looking for a Senior Product Manager with a pioneering spirit to join our core Attribution product team. Attribution is the core essence of marketing analytics and a mission-critical product to drive marketing decisions across the entire mobile ecosystem.

The Attribution team is responsible for the attribution algorithms and all critical APIs to the top media partners that the entire digital ecosystem relies on. The ideal candidate will have a proven record as a product manager of SaaS platform with deep technical knowledge of Big Data and SaaS solutions.

In this role, your mission is to serve as a key domain expert and collaborative listener - distilling customer feedback and analyzing market needs/trends to ensure the platform remains at the absolute top of its class as we pave the way in the AI era. You will also drive high-stakes product features in close collaboration with our strategic partners, including Apple, Google, Meta, and Amazon.

This is a high-impact, highly visible role with direct influence across the entire mobile ecosystem, shaping the future of measurement for global brands and leading digital platforms.


What you'll do
End-to-End Product Ownership: Manage the product lifecycle of the attribution domain from discovery and definition through to execution, go-to-market (GTM), KPI measurement, and continuous optimization.
Building Next-Gen Measurement Solutions: Advance digital marketing measurement in a dynamic ecosystem, addressing shifts in search and browsing habits driven by AI, conversational search, and changing media consumption patterns.
Privacy & Regulatory Navigation: Lead product strategy in a highly complex, privacy-first environment, ensuring compliance with global regulatory changes and data restrictions.
Cross-Functional Leadership: Collaborate closely with multiple engineering teams, architects, and data analysts to deliver robust and scalable solutions.
Customer-Centric Innovation: Partner directly with top clients to gather first-hand feedback and translate their insights into impactful product capabilities.
Executive & Strategic Alignment: Drive high-visibility projects, communicating progress and strategic vision directly with executive leadership.
Internal & External Collaboration: Foster strong alignment across internal Business, Marketing, and R&D teams, while managing relationships with key strategic partners.