Business System Analyst

Truecaller

Join Truecaller – The place where innovation meets impact! Truecaller's mission is to build trust in communication by making it safer, smarter, and more efficient. Born in Sweden, trusted by the world, and here’s why we stand out: * We are trusted by over 450 million active users every month across 190+ countries * We identify over 15 billion calls daily, helping users avoid spam and scams * We are powered by a team of 450+ employees from 45+ nationalities We always look for people who take initiative, own their work, and keep raising the bar. An entrepreneurial mindset matters here, especially when it turns bold ideas into real actions. We stay collaborative and focused, always searching for smarter paths forward. If you want to make an impact and grow with a team that inspires millions, you’ll fit right in. The role: You will play an important role in developing data pipelines, frameworks, and models to support the understanding of our users and better product decisions. You will help empower product teams with a complete self-serve analytics platform by working on scalable, robust solutions while collaborating with data engineers, data scientists, and data analysts across the company. What you’ll do:         Drive Architectural Vision & Execution * Design for Scale: Lead the architectural design and hands-on implementation of high-throughput, low-latency data pipelines using Spark and Kafka to process massive datasets. * Build Core Infrastructure: Develop, optimize, and maintain robust data models in BigQuery and orchestrate complex, multi-layered data workflows using Apache Airflow. * Operationalize AI/ML: Partner directly with Data Science teams to take machine learning models out of the lab and into production. Design the architecture that allows these models to serve real-time predictions and insights to downstream services.        Lead Complex, Cross-Functional Initiatives * Navigate Ambiguity: Take ownership of highly ambiguous business problems, translating vague stakeholder requirements into concrete, actionable technical roadmaps. * End-to-End Delivery: Autonomously drive complex, multi-squad projects from the initial whiteboard design phase through large-scale deployment and long-term maintenance. * Cross-Business Alignment: Collaborate with Product Owners and technical leaders across different Business Units to ensure your data systems support the overall company strategy and maximize end-user value.        Elevate Engineering Standards & Team Performance * Champion Quality: Actively lead large-scale refactoring efforts and continuously drive improvements in code quality, system reliability, and internal tooling. * Proactive Problem Solving: Act as the vanguard for system health—spotting subtle, long-term performance bottlenecks early and architecting workable solutions before they impact the business. * Mentorship & Coaching: Dedicate time to leveling up the broader engineering organization. Conduct rigorous architectural and peer code reviews, mentor senior and junior engineers, and promote a pervasive culture of technical excellence. What you bring in:         Architecture & Tech Stack * Core Engineering: Exceptional proficiency in programming in Python / Scala to build robust, highly optimized data systems. * Distributed Systems: Extensive architectural experience with Apache Spark and Kafka (or equivalents like Flink, Kinesis, GCP Pub/Sub) to build high-throughput, low-latency pipelines handling AdTech-scale data (millions of events/sec). * Data Warehousing & Orchestration: Expert in data modeling and query optimization in BigQuery (or Snowflake / Redshift). Proficient in orchestrating complex DAGs and workflows using Apache Airflow (or Dagster / Prefect). * MLOps & AI Integration: Experience deploying machine learning models into production. Ability to engineer deployment architectures that translate AI models into scalable, low-latency APIs for downstream services.        Complex Execution * End-to-End Ownership: Proven track record of leading complex, cross-squad projects from initial whiteboard design through large-scale deployment and maintenance. * Problem Decomposition: Strong ability to break down highly ambiguous technical problems into clear, actionable development plans for multiple teams.        Engineering Leadership * Engineering Standards: Drives the adoption of architectural best practices, robust testing methodologies, and high engineering standards across the organization. * System Evolution: Leads large-scale codebase refactoring, system health improvements, and the evolution of internal tooling. * Mentorship: Actively mentors senior and junior engineers, conducts rigorous architectural/code reviews, and guides the team's long-term technology choices. It would be great if you also have: * Transactional Databases: Hands-on experience with operational RDBMS (e.g., PostgreSQL, MySQL) and low-latency NoSQL data stores (e.g., Redis, Cassandra). * Microservices Architecture: Experience building or integrating with microservice ecosystems, including API design (REST, gRPC) and container orchestration (Docker, Kubernetes). * Infrastructure as Code (IaC): Proficiency in provisioning cloud data infrastructure using Terraform and configuring robust CI/CD pipeline What we offer:  We support growth through learning resources, leadership programs, mentoring, and real hands-on work. People can move between teams and projects to build new skills and keep things interesting. We offer clear internal mobility and a transparent path for progression, with leaders who stay involved and provide guidance throughout the year. In addition, you will benefit from: * A comprehensive compensation package:  Learning and development allowance, voluntary provident fund (VPF) and/or national pension scheme (NPS) tax saving option provided, creche allowance * Modern tools to do your best work: Choose your preferred computer and phone within our budget, so you can work comfortably and efficiently. * A people-focused office culture: We value in-person collaboration and follow an office-first model, with some flexibility. Our offices offer a vibrant environment with opportunities to learn, connect, and recharge, from breakfast, lunch and quiet spaces to team activities such as movie nights, tech meetups, and cultural events. There's something for everyone. * Truecaller’s “Lab Days” offer a space for imagination: 5 days each quarter, where everyone steps away from their normal tasks to explore new, bold ideas and build things they’ve always wanted to. It’s a space where curiosity leads the way, and prototypes take shape. Some concepts even make it into production, and a few have grown into real features used by millions today. Lab Days allow you to be creative, learn fast, and help shape Truecaller's future. Come as you are: Truecaller is committed to building a diverse and inclusive team. We believe that a wide range of backgrounds, perspectives, and experiences strengthens our products and our culture. No matter where you're from, what language you speak, or how you identify,  we value what makes you unique and would love to get to know you.  Sounds like a great opportunity? We will fill the position as soon as we find the right candidate, so please send your application as soon as possible. As part of the recruitment process, we will conduct a background check. We only accept applications in English.

Smartsheet

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. PRINCIPAL PRODUCT MANAGER, DATA & AI PLATFORMS As a Principal Product Manager, Data & AI Platforms at Smartsheet, you will serve as a visionary leader, responsible for the strategic direction and execution of our foundational data ecosystem. You will treat our data and AI infrastructure as a premier product, ensuring it is of high quality, architected for massive scale, and directly aligned with Smartsheet’s mission-critical business and advanced AI objectives. This is a high-impact role that bridges engineering excellence with measurable business value, driving the democratization of data and the enablement of advanced AI capabilities across the global organization. You Will: * Drive Strategic Alignment: Lead the alignment of data governance and AI-driven use cases across Engineering, Product, and Business organizations to ensure unified goals, rigorous prioritization, and clear scoping of platform capabilities. * Lead Product Lifecycle: Manage both inbound (requirements gathering, strategic roadmap definition) and outbound (internal/external evangelism, community engagement, customer feedback loops) product management for the data and AI platform. * Own the Execution Roadmap: Define and drive the execution roadmap for critical data platform features, including the enablement of AI capabilities, streamlined data ingestion/onboarding, and foundational data vision initiatives. * Champion Governance & Quality: Own the business-stakeholder perspective for data quality and governance, ensuring the platform provides reliable, secure, and compliant data assets for all consumers. * Deliver High-Quality Requirements: Provide a continuous stream of detailed requirements with clear, measurable acceptance criteria, demonstrating a deep understanding of both upstream data source complexities and downstream end-user consumption needs. * Engage Stakeholders Extensively: Partner with cross-functional executive leaders to inform platform roadmaps and ensure the data strategy remains strategically aligned with Smartsheet’s overall product and business platform goals. * Act as a Data Ambassador: Represent the data and AI platform's capabilities internally and externally, clearly communicating the value proposition of features related to data retention, security, compliance, reliability, and integrity. * Provide Mentorship: Offer informal leadership and mentorship to Engineering and Product team members, fostering a culture of technical excellence, accountability, and collaborative delivery. Key Responsibilities: * Data as a Product (DaaP): Evangelize and implement a "Data as a Product" mindset, shifting the organization from reactive data requests to a self-service, scalable, and visionary data platform. * AI Enablement: Partner closely with AI and Engineering teams to integrate AI-driven use cases into the core data fabric, ensuring the platform robustly supports advanced machine learning, predictive analytics, and process automation. * Infrastructure Strategy: Leverage a strong, current understanding of Data Lakes, Data Mesh principles, Medallion Architecture, and modern cloud data platforms (e.g., Databricks, Snowflake) to guide the technical evolution of Smartsheet’s data architecture. * Data Integrity & Semantic Impact: Define and manage the semantic layer and data integrity practices to ensure data is accurate, fresh, and trusted across all business units. * Compliance & Ethics: Establish and automate robust data governance standards, including metadata management and strict privacy compliance (GDPR, CCPA, SOC2), while maintaining engineering velocity. Qualifications & Skills: * Experience: 8+ years of experience in Product Management, with a significant and proven focus on AI & data infrastructure, core backend platforms, or high-scale technical SaaS products. * Execution Focus: Proven track record of owning and successfully driving execution roadmaps for critical, scalable, and reliable data systems. * Technical Depth: Extensive and current understanding of: * AI Foundations and Platforms: Agentic frameworks, transformer architectures, prompt engineering,rag, fine-tuning techniques, vector databases, and embedding strategies. * Data Platforms: Deep familiarity with leading cloud data platforms (e.g., Databricks, Snowflake). * Data Warehousing: Knowledge of Dimensional Modeling and Data Vault 2.0 (DV2.0). * Architecture: Experience with Medallion Architecture and contemporary Data Integrity practices. * Communication Mastery: Exceptional ability to translate complex technical debt or architectural needs into clear business value, actionable initiatives, and precise "acceptance criteria" for diverse technical and non-technical stakeholders. * Customer-Centricity: Ability to treat internal developers, analysts, and external partners as "customers," utilizing research and data to identify and remove friction in the data consumption and contribution journey. * Architectural Fluency: High-level understanding of data governance, semantic impact, and data modeling, with the ability to lead and navigate complex architectural discussions with senior engineering teams.     Get to Know Us: At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You’ll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths—because we know that impact comes from individuals who care deeply and challenge thoughtfully. When you’re doing work that stretches you, excites you, and connects you to something bigger, that’s magic at work. Let’s build what’s next, together. Equal Opportunity Employer: Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, India, and Singapore. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.  If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.   #LI-Remote

Airbnb

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. SENIOR BUSINESS SOLUTIONS ENGINEER Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. THE COMMUNITY YOU WILL JOIN: The Business Technology Enablement and Innovation team, within the BizTech organization, leads the mission to deliver innovative technology, empowering our employees to utilize technology productively, driving connection, and scale support for employees. We bridge the gap between traditional IT and engineering teams by providing quick solutions, consultations, and guidance beyond traditional support, with a focus on enhancing workflows and tools utilizing AI. THE DIFFERENCE YOU WILL MAKE: We are seeking a world-class Senior Business Systems Engineer to join our dynamic team. You will be responsible for providing quick solutions utilizing internal tools and agentic AI, to support and assist teams in enhancing their day to day workflows, overseeing the end-to-end delivery of system and tool changes as required, and providing support to those solutions.. Your expertise will help identify current pain points for stakeholders, promote industry best practices, and maintain data integrity and accuracy within our platforms. You will also play a crucial role in mentoring junior team members, driving strategy, and delivering results with excellence. A high degree of focus on practical AI and understanding the current state of industry as AI technology changes is critical.   A TYPICAL DAY: * Product Roadmap Ownership - Lead the design, development, implementation, and optimization of custom solutions to improve internal teams’ processes and workflows, with a focus on Agentic AI solutions utilizing Airbnb approved internal tools. * Stakeholder Management - Identify and address current pain points, socialize industry best practices, and prioritize project pipelines in collaboration with stakeholders. * Automation - Identify and drive automation initiatives to reduce manual processes and improve operational efficiency across core business functions. * Vendor Management - Partner with our vendors to drive and own the product feature and bug lifecycle from requirements gathering to launch. * Industry Trends - Stay updated with the latest platform features, best practices, and industry trends to proactively identify opportunities for enhancements. * Business Process Improvement - Craft and suggest future-state business processes, and lead the implementation of these suggestions. * Expertise and Mentorship - Act as a company-wide expert in relevant functional tools and applications. Mentor junior team members and provide guidance on development and delivery. * Architecture and Design Reviews - Collaborate on architecture and design reviews, offering necessary guidance to ensure development guidelines are followed. Your Expertise: * 8+ years of professional experience  with proven enterprise-grade systems implementations, IT consulting or similar field leveraging advanced platform integrations * Minimum of 2 years of experience demonstrably using AI in workflows and to support customers. * Experience researching and implementing custom applications from the Marketplace from research, to design and implementation * Advanced degree (e.g., MS/MBA) in Business, Computer Science, or related fields preferred. * Demonstrated experience designing and implementing custom business solutions and integrations using enterprise platforms. * Deep knowledge of data modeling, business intelligence tools (e.g., Tableau), and enterprise reporting best practices. * Skilled at stakeholder engagement and cross-functional collaboration in large global organizations. * Adept at leading complex projects, simplifying technical concepts, and promoting operational excellence. * Excellent written and verbal communication skills, especially in critiquing technical designs and leading workshops, and engaging with senior leadership. * Exemplifies strong leadership fundamentals, guides junior team members, and drives strategy with a focus on long-term scalability. * Proficient in designing and implementing data management strategies to ensure data integrity. * Identifies opportunities for product and process improvements and can lead and implement said improvements, obtaining necessary buy-in from stakeholders and leadership..