Business Systems Analyst Jobs

About the Team OpenAI’s Pricing team sits at the center of product, go-to-market, finance, and strategy. We define how OpenAI packages, prices, and scales access to our products across consumer, SMB, and enterprise customers, turning deeply technical product usage and market signal into company-level decisions. We’re looking for a senior Data Scientist to be the first dedicated data science hire on the Pricing team. This is a rare zero-to-one role with direct exposure to OpenAI’s CFO, Head of Pricing, and senior leaders across Product and GTM. You will help build the analytical foundation for pricing at OpenAI, shape executive decisions, and define what excellent pricing data science looks like. About the Role As a founding Data Scientist for Pricing, you will design the analyses, models, experiments, and decision frameworks that guide pricing strategy across OpenAI’s business. You’ll work side-by-side with the CFO, Head of Pricing, and senior leaders across Product and GTM on ambiguous, high-leverage questions where simple reporting is not enough, translating customer behavior, product usage, revenue outcomes, and market dynamics into clear recommendations. This role combines hands-on technical depth with executive-ready storytelling. You should be excited to build from first principles, operate with high independence, and influence decisions that shape how OpenAI grows and serves customers around the world. In This Role, You Will Serve as a senior analytical partner to the CFO, Head of Pricing, Product, and GTM leaders on pricing and monetization decisions. Build the analytical foundation for pricing across consumer, SMB, and enterprise segments, from exploratory analysis to repeatable decision systems. Design and execute analyses that connect customer behavior, product usage, conversion, retention, revenue outcomes, and pricing strategy. Develop models, algorithms, experiments, and decision frameworks for complex pricing, packaging, discounting, and willingness-t

Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About the Role: Notion’s global Outcomes organization is focused on helping customers achieve business objectives with Notion. As the Growth Strategy & Programs Lead, you will help design and scale the programs, operating rhythms, and cross-functional initiatives that make install-base growth more explosive and repeatable globally. This is a high-impact strategy and programs role. You will create the clarity, structure, and execution systems that help the business grow existing customers more deliberately. You will bring analytical rigor to how we understand growth, translate insights into scalable programs, and help teams execute with consistency while still allowing for local market nuance. The ideal candidate is equally comfortable building a model, writing a crisp recommendation, aligning executive stakeholders, and turning a strategy into a practical field motion. This role will be based in San Francisco. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. Who you are We're looking for an innovative and passionate Machine Learning Engineers to join our team. You are someone who loves solving complex problems, enjoys the challenges of working with huge data sets, and has a knack for turning theoretical concepts into practical, scalable solutions. You are a strong team player but also thrive in autonomous environments where your ideas can make a significant impact. You love utilizing machine learning techniques to push the boundaries of what is possible within the realm of Natural Language Processing, Information Retrieval and related Machine Learning technologies. Most importantly, you are excited to be part of a mission-oriented high-growth startup that can create a lasting impact. You will: Conceptualize, develop, and deploy machine learning models that underpin our NLP, retrieval, ranking, reasoning, dialog and code-generation systems. Implement advanced machine learning algorithms, such as Transformer-based models, reinforcement learning, ensemble learning, and agent-based systems to continually improve the performance of our AI systems. Lead the processing and analysis of large, complex datasets (structured, semi-structured, and

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. Who you are We're looking for an innovative and passionate Machine Learning Engineers to join our team. You are someone who loves solving complex problems, enjoys the challenges of working with huge data sets, and has a knack for turning theoretical concepts into practical, scalable solutions. You are a strong team player but also thrive in autonomous environments where your ideas can make a significant impact. You love utilizing machine learning techniques to push the boundaries of what is possible within the realm of Natural Language Processing, Information Retrieval and related Machine Learning technologies. Most importantly, you are excited to be part of a mission-oriented high-growth startup that can create a lasting impact. You will: Conceptualize, develop, and deploy machine learning models that underpin our NLP, retrieval, ranking, reasoning, dialog and code-generation systems. Implement advanced machine learning algorithms, such as Transformer-based models, reinforcement learning, ensemble learning, and agent-based systems to continually improve the performance of our AI systems. Lead the processing and analysis of large, complex datasets (structured, semi-structured, and

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. About the Role As a Site Reliability Engineer at Ema, you will own the stability, availability, and operational health of our agentic AI platform across customer environments. You'll work closely with Engineering and DevOps to provision infrastructure, drive deployment excellence, and keep production running at the quality bar our enterprise customers expect — 99.9%+ uptime, proactive incident response, and continuous improvement. What You'll Do Infrastructure & Deployment Design and provision cloud infrastructure (GCP, Azure, AWS) tailored to customer environments, with security, scalability, and compliance built in Execute on-call SaaS deployments with minimal downtime; automate and optimize deployment workflows end-to-end Production Stability & Observability Monitor logs, alerts, and metrics to maintain SLA commitments and catch issues before they escalate Diagnose and resolve production incidents with speed and rigor; drive root cause analysis and permanent fixes Collaborate with DevOps to enhance monitoring dashboards and alerting frameworks; deliver clear system health reporting to internal and customer stakeholders Documentation & Knowledge Management Maintain de

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. The Role We are looking for an Engineering Leader to manage and scale multiple product lines in the Voice, BPO, and Workforce Management space. This is a high-impact leadership role that sits at the intersection of real-time voice systems, operations research, and data-intensive platform engineering. You will report directly to the Head of Engineering and own the engineering organization that builds the infrastructure powering Ema’s Voice AI Employees, Agent QA, auto-learning pipelines, rich analytics, and workforce optimization capabilities — all operating as scalable, multi-tenant systems deployed across global geographies. You will collaborate with Product, ML/AI, and Go-to-Market teams to translate customer needs into production systems that handle high volumes of voice data, deliver real-time insights, and continuously improve through automated learning loops. As the owner of multiple product lines, you will balance roadmap priorities across Voice, BPO operations, and WFM (work force management) — ensuring each product evolves cohesively while meeting distinct customer needs. What You Will Do Scalable Multi-Tenant Systems Architect and build multi-tenant systems that serve ent

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake is seeking an Enablement Business Partner to serve as the Chief Activation Officer for our Solution Engineering team. Embedded within key leadership teams, you will accelerate field capability tied to business outcomes, owning the full spectrum of how SEs learn, from structured programs to in-the-moment performance support. You translate business problems into capability solutions, designing systems that make the field more capable when and where it matters most. IN THIS ROLE YOU WILL GET TO: Act as the strategic enablement partner for SE leadership, diagnosing skill gaps tied to business outcomes, prescribing targeted interventions, and measuring whether capability actually changed Curate and quality-gate enablement content: validate AI outputs for accuracy and audience fit, maintain a source of truth for your domains (theater and product), and feed evidence-based quality signals back to PM and PMM Diagnose field needs through signals (Gong, Salesforce, theater-level data analysis, leadership conversations, steer co themes, PM roadmap changes, etc), then classify and prioritize gaps with data Design activation experiences, picking the right modality (hands-on or self-serve lab, AI skill, peer learning, coaching nudge), and measuring behavior change, not just comp

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. At Snowflake, our People team is the backbone of an extraordinary employee experience. As a Principal Integrations Developer on the People Systems team, you'll design, build, and maintain the integrations that connect our people systems — ensuring seamless, secure, and scalable data flow across our global ecosystem as Snowflake continues to grow. This is a hybrid role based in our Dublin, CA or Menlo Park, CA offices with 3 days a week in-office attendance required. WHAT YOU'LL DO: Design, build, test, and maintain Workday integrations using technologies such as Workday Studio, EIB, Core Connectors, and Workday Web Services (SOAP/REST) Partner with internal stakeholders and external vendors to understand business requirements and translate them into scalable integration solutions Provide production support for integrations, including monitoring, troubleshooting failures, performing root cause analysis, and implementing fixes Develop and maintain inbound and outbound integrations between Workday and third-party systems (e.g., payroll, benefits, finance, IT systems) Support data pipelines between Workday and our own instance of Snowflake, including the migration to Workday Zero Copy Data cloud Ensure data accuracy, integrity, and security across integrations, adhering to gove

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. About the Team The Finance Data Science team owns the forecasting systems that power Snowflake’s revenue planning and long-term financial strategy. Our work supports corporate planning, executive decision-making, and investor reporting, and we partner closely with Product and Sales to understand customer behavior and product impact. We operate at the intersection of machine learning, statistical research, and corporate finance, building production-grade forecasting infrastructure that is foundational to how the company plans and operates. The Role As a Senior Data Scientist, you will independently lead high-impact modeling initiatives and build production-ready forecasting systems for core financial metrics. You will work on complex, open-ended problems at the intersection of machine learning and business strategy, translating real-world financial questions into rigorous, scalable models. What You’ll Do Design and implement advanced time-series and probabilistic models (e.g., hierarchical models, state-space models, Bayesian approaches, multivariate forecasting). Contribute to internal tooling and shared infrastructure that enables scalable forecasting and analytics. Establish best practices for model evaluation, backtesting, uncertainty quantification, and scenario simulat

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are the Snowflake Metadata team. We own Snowflake’s metadata systems that make it easy for customers to query, modify and manage their petabyte-scale data. We develop distributed systems that store and maintain metadata, transaction frameworks that power Snowflake’s query and DML capabilities, asynchronous systems that provide time travel and lifecycle management capabilities and entity metadata supporting DDL capabilities. We also build foundational capabilities that deliver global features like cross-region replication (Snowgrid), data sharing, and data marketplace. AS A PRINCIPAL SOFTWARE ENGINEER AT SNOWFLAKE YOU WILL: Solve real business needs at large scale by applying your software engineering and analytical problem solving skills. Design, develop and support fault-tolerant scalable distributed systems for our Snowgrid and Data Sharing teams. Create architecture and design, influence our product roadmap, and take ownership and responsibility over new projects. Analyze fault-tolerance and high availability issues, performance and scale challenges, and solve them. Mentor and grow junior engineers. Understand trade-offs between consistency, performance and costs to build solutions which can meet the demands of rapidly growing services. Ensure operational readiness of

About Paytm: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology About the Role At Paytm, we are building the next generation of intelligent payment experiences for millions of users. We are looking for an AI-first Senior Product Manager who combines exceptional product thinking, customer empathy, UX sensibility, and execution excellence with a strong understanding of modern AI capabilities. You will own high-impact consumer journeys across UPI payments, onboarding, mandates, and engagement, while identifying opportunities where AI can simplify experiences, automate workflows, and solve customer problems at scale. You will work closely with Engineering, AI/Data Science, Design, Analytics, Risk, Operations, and Business teams to build products that are intuitive, reliable, and loved by customers. If you are passionate about building products, experimenting with AI, solving complex customer problems, and delivering measurable business impact, we'd love to hear from you. What You will Own * Define the product vision, strategy, and roadmap for consumer-facing UPI experiences. * Own critical customer journeys across UPI onboarding, payments, mandates, payment management, and engagement. * Identify opportunities to leverage Generative AI and AI Agents to simplify customer journeys, improve payment success, and automate internal workflows. * Design AI-powered experiences such as intelligent assistants, conversational interfaces, recommendation systems, and workflow automation. * Partner with Design to build simple, intuitive, and delightful user experiences. *Translate customer pain points into product opportunities backed by user research and data. * Prioritize the roadmap

About Us: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm's mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the team: Paytm Travel is the travel and ticketing platform of Paytm, offering seamless booking services for flights, trains, buses, hotels, and other travel-related needs. The platform leverages technology to simplify travel planning and booking for millions of users across India, providing a convenient, secure, and user-friendly experience through the Paytm ecosystem. Responsibilities: 1)Support the roadmap for a key consumer-facing product within the travel ecosystem, owning well-defined features and flows end to end. 2) Collaborate cross-functionally with design, engineering, and business teams to deliver features that resonate with users. 3) Participate in technical discussions, building an understanding of system design and architecture to make informed decisions. 4)Leverage AI technologies like LLMs (e.g. GPT, Claude), retrieval-augmented generation (RAG), recommendation systems, and conversational agents to enhance product intelligence and personalization. 5)Balance speed and quality, prioritizing rapid iterations over perfection to meet market demands. 6)Dive into product metrics and user funnels to identify opportunities and measure impact of shipped features. Requirements: 1)2+ years of product management experience in consumer internet companies (preferred); strong candidates from analytics, engineering, or design backgrounds transitioning into product are encouraged to apply. 2)Mobile product experience (Android, iOS) is a must, with a keen eye for user experience. 3)Should be able to have brainstorming discussions with tech on flutter vs native app. 4)Exposure to or curiosity about AI age

About Us: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. Role Overview We are looking for a high-ownership leader to drive growth, retention, and recurring revenue for the soundbox subscription business. The role requires managing the complete merchant subscription lifecycle, including acquisition quality, renewals, merchant engagement, churn reduction, and operational execution. Key Responsibilities - Subscription Growth: Drive merchant onboarding, ensure high-quality acquisition, improve activation-to-paid conversion, and expand the active merchant base. - Retention & Renewals: Improve renewal rates, reduce churn, and build win-back strategies for inactive merchants. - Merchant Lifecycle Management: Own the end-to-end journey, ensure active product usage, and coordinate service support to improve satisfaction. - Revenue Ownership: Drive Monthly Recurring Revenue (MRR), improve collections efficiency, and monitor subscription funnel metrics. - Team Management: Manage field sales and retention teams, monitor productivity, and drive performance reviews. - Analytics & Governance: Analyze churn and activation trends, track performance dashboards, and identify fraud or activation risks. Preferred Skills • Strong analytical and problem-solving capabilities • Hands-on experience with SQL, dashboards, reporting, and business analytics • Expertise in building automated reporting frameworks and KPI monitoring systems • Ability to convert large datasets into actionable business insights and growth opportunities • Experience managing retention, renewals, collections, pricing, or revenue growth initiatives at scale • Strong ownership mindset with a track record of driv

ABOUT THE TEAM At Mural, we're changing how teams collaborate, think, and make decisions together. The Growth & Engagement team helps customers discover value through intuitive product experiences, rapid experimentation, and emerging AI capabilities that make collaboration more effective. We own key parts of the customer journey - from acquisition and onboarding to activation, engagement, retention, and monetization - and use data, experimentation, and customer insights to continuously improve those experiences. We're a cross-functional team of engineers, product managers, designers, and data partners who move quickly, measure outcomes, and learn from every experiment. We value curiosity, collaboration, and thoughtful technical craftsmanship, building systems that enable rapid iteration while maintaining a high bar for quality, reliability, and scalability. YOUR MISSION As a Senior Software Engineer on the Growth & Engagement team, you'll build the products, platforms, and experimentation capabilities that help customers discover value faster and achieve more with our product. You'll partner closely with Product, Design, Data, and other Engineering teams to identify opportunities, validate ideas through experimentation, and deliver experiences that improve customer outcomes and drive sustainable business growth. Beyond shipping features, you'll help shape the technical direction of the team, mentor other engineers, and establish engineering practices that enable us to experiment confidently and move quickly. WHAT YOU'LL DO Design, build, and maintain customer-facing features that improve acquisition, activation, engagement, retention, and monetization. Collaborate closely with Product, Design, Data, Marketing, and Customer Success to identify growth opportunities and translate customer feedback, product analytics, and experimentation to guide product decisions. Design, implement, and analyze experiments using feature flags, A/B testing, and analytics to vali

Location: Remote (U.S.) Clearance: U.S. Citizen or Permanent Resident Required with the ability to obtain a Public Trust Salary Range: 110K – 125K LTS is seeking a Senior Security RMF Engineer to join a cybersecurity transformation surge team supporting the VA.gov Platform. This role will serve as the bridge between VA security/RMF requirements and the engineers responsible for implementing those requirements across VA.gov. The Senior Security / RMF Engineer must understand how security controls are implemented in modern cloud infrastructure and software delivery environments and be able to translate control deficiencies, authorization requirements, and security risks into actionable engineering work.This is not intended to be a documentation-only compliance role. This individual will work closely with DevSecOps engineers and the existing VA.gov Platform ATO/security team to assess the current security posture, address gaps in VA.gov's Critical Controls, support ATO/cATO readiness, improve authorization artifacts, and automate evidence and control assessment wherever possible. The PWS specifically describes the desired model as one in which ATO/RMF documentation confirms security rather than defines it, with success measured through risk reduction and security outcomes rather than paperwork completeness. What You’ll Do: Assess VA.gov Platform compliance with the 18 Critical Controls identified by VA and help establish a baseline of current implementation and remaining gaps. Perform security reviews, gap analyses, and risk assessments across VA.gov Platform infrastructure, pipelines, applications, and component systems. Support ongoing ATO and cATO readiness for the VA.gov Platform authorization boundary. Develop, update, and maintain RMF and authorization artifacts, including System Security Plans (SSPs), control narratives, POA&Ms, Business Impact Analyses (BIAs), Privacy Threshold Analyses (PTAs), and supporting evidence. Evaluate identified