Model Behavior Engineer in India

About Us Pearl is AI for professional services at global scale, combining advanced AI with verified human expertise to deliver help that is accurate, accountable, and fast. Since 2003, our network has connected millions of customers with licensed professionals across 196 countries, making real expertise available anytime, anywhere. Our Values Data driven: Start with truth, measure what matters. Courageous: Bias to action; run toward hard problems. Innovative: Seek novel, elegant solutions. Lean: Do more with less. Build, ship, learn fast. Humble: Strong opinions, lightly held. About the Role The future of analytics isn't dashboards. It's intelligent systems that anticipate questions, surface insights, and help people make better decisions. We're looking for a Senior Analytics Engineer to help build that future at Pearl. In this role, you'll design and develop AI-powered analytics experiences that combine trusted enterprise data with modern AI capabilities, enabling business users to interact with data conversationally and uncover insights faster than ever before. You'll build production AI agents, create scalable semantic data models, develop intelligent analytics applications, and establish best practices for responsible AI across the Analytics organization. Working closely with Product, Engineering, and business leaders, you'll turn emerging AI technologies into real business capabilities that improve decision making across the company. This is an opportunity to help define how AI transforms analytics at Pearl while working on some of the most exciting technologies in data, LLMs, and agentic AI. What You’ll Do Build proactive analytics and AI solutions that surface actionable business insights, anticipate business needs, and enable smarter decision-making. Design and develop AI-powered analytics tools, including conversational interfaces that allow business users to query data using natural language. Build semantic data models and reusab

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE The next leap in enterprise Finance will not come from automating what we already do; it will come from making Finance intelligent — helping the Office of the CFO move from gatekeepers to growth catalysts with faster insight, stronger controls, and better decisions at enterprise scale. At Everpure, we do not layer AI on top of legacy workflows — we redesign the work itself. Inside the Office of the CFO, our newly formed Finance AI Factory carries a clear mandate: build AI-native Finance from the ground up — agents that surface insight as events happen, documents that are read, routed, and processed under control, and decisions backed by models that are accurate, auditable, and trusted at enterprise scale. You’ll build the team and the technology with it. As Senior Engineering Manager, Agentic AI for Finance, you’ll hire and lead a high-performing Finance AI Factory engineering team from scratch — designing and shipping production-grade, control-aware AI agents that transform how Finance closes the books, applies cash, reconciles accounts, and executes core workflows. This is a hands-on leadership role — roughly 60% architecture and technical delivery, 40% people leadership — for a builder-turned-manager who can set technical direction, raise the bar on quality, coach a high-caliber team, and translate complex finance process pain into trustworthy automation. WHAT YOU'LL DO Own the end-to-end agentic AI archi

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Join the Pipeline Engineering team at Everpure™ as a Software Engineer to build, own, and operationally scale the microservices and Temporal workflows driving continuous integration for FlashArray, FlashBlade, and Hyperscale. In this developer-first role based in Bangalore, you will design durable production services and agentic AI tools that directly reduce time-to-signal, optimize compute utilization, and absorb operational toil across our global engineering workforce. WHAT YOU'LL DO Architect Deterministic CI Workflows: Design and deploy production microservices and durable Temporal workflows that make pipeline execution resilient, resumable, and fully debuggable for enterprise storage platforms. Optimize Compute & Testbed Utilization: Extend in-house scheduling logic and placement algorithms across bare-metal hardware and VM fleets to minimize queue times and maximize infrastructure efficiency. Build Operational AI Agents: Engineer RAG pipelines and agentic workflows over failure logs, vector stores, and test metadata to automate root-cause analysis, flake classification, and developer triage. Drive Platform Observability & Ownership: Establish key platform metrics—including time-to-signal and pass/flake rates—while operating your services end-to-end to ensure long-term stability and eliminate recurring failure modes. Collaborate Across Product Teams: Partner with platform and product engineering group

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE As an SAP SCM Analyst at Everpure, you will drive the operational precision of our global demand planning and Sales & Operations Planning (S&OP) cycles using SAP IBP Demand Planning. Partnering closely with the Plan to Forecast Lead and global commercial planners, you will transform historical sales data and market inputs into high-quality baseline statistical forecasts. Your meticulous oversight of forecasting models and supply chain data directly minimizes forecast error and optimizes global inventory readiness. By ensuring an accurate demand signal, you empower Everpure to seamlessly meet customer requirements worldwide. WHAT YOU'LL DO Statistical Forecast Engineering: Own the generation and continuous refinement of baseline statistical forecasts within SAP IBP, leveraging data-driven inputs to establish a highly reliable predictive foundation for our monthly commercial planning cycles. Forecast Performance Tracking: Execute and analyze critical forecast error metrics (including MAPE, WMAPE, and bias) to isolate structural variances, enabling cross-functional teams to pinpoint root causes and continuously improve plan attainment. Master Data & View Architecture Maintenance: Govern demand planning master data integrity across product hierarchies, location assignments, and planning segments, utilizing SAP IBP Fiori interfaces and Excel Add-ins to keep configuration maps completely synchronized

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE As a Manager On Duty within Everpure’s Global Technical Support organization, you will serve as the critical mission commander orchestrating real-time resolution for enterprise-level operational incidents. Acting as the ultimate bridge between global customers, account management teams, and internal engineering resources, your goal is to safeguard business continuity and de-escalate high-priority customer emergencies. You will drive operational stability across shift handoffs, direct cross-functional resource allocation during active incidents, and champion systemic improvements across the customer experience landscape. WHAT YOU'LL DO Lead Live Crisis & Incident Escalations: Direct real-time triage, cross-functional resource allocation, and technical alignment between engineering, customer support, and sales leadership during critical incident escalations to accelerate resolution times for high-value accounts. Bridge Global Shift Hand-offs: Coordinate continuous 24/7 engagement models across international time zones with fellow Managers On Duty, ensuring seamless tracking, transfer, and execution of commitments for critical customer accounts. Drive Root Cause & Accountability Commitments: Oversee post-escalation deliverables—including technical root cause analyses (RCA) and executive follow-up meetings—to restore operational confidence and reinforce long-term partner trust. Transform Trend Insights into Op

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Join the Pipeline Engineering team at Everpure™ as a Software Engineer to build, own, and operationally scale the microservices and Temporal workflows driving continuous integration for FlashArray, FlashBlade, and Hyperscale. In this developer-first role based in Bangalore, you will design durable production services and agentic AI tools that directly reduce time-to-signal, optimize compute utilization, and absorb operational toil across our global engineering workforce. WHAT YOU'LL DO Architect Deterministic CI Workflows: Design and deploy production microservices and durable Temporal workflows that make pipeline execution resilient, resumable, and fully debuggable for enterprise storage platforms. Optimize Compute & Testbed Utilization: Extend in-house scheduling logic and placement algorithms across bare-metal hardware and VM fleets to minimize queue times and maximize infrastructure efficiency. Build Operational AI Agents: Engineer RAG pipelines and agentic workflows over failure logs, vector stores, and test metadata to automate root-cause analysis, flake classification, and developer triage. Drive Platform Observability & Ownership: Establish key platform metrics—including time-to-signal and pass/flake rates—while operating your services end-to-end to ensure long-term stability and eliminate recurring failure modes. Collaborate Across Product Teams: Partner with platform and product engineering group

About Forma.ai: Forma.ai is a Series B startup that's revolutionizing how sales compensation is designed, managed and optimized. We handle billions in annual managed commissions for market leaders like Edmentum, Stryker, and Autodesk. Our growth has been fuelled by our passion for fundamentally changing and shaping how companies use sales intelligence to drive business strategy. We’re welcoming equally driven individuals who are excited about creating something big! About the team: The Customer Operations team is at the heart of Forma.ai's mission. This team has a direct impact on the growth of Forma.ai. They are results-driven and solutions-minded. The Customer Operations team works closely with our customers, helping them to understand and take advantage of all the features Forma.ai offers and ensuring that they get the most value from the platform. What you'll be doing: Reporting to the Senior Manager of Customer Operations, the Incentive Compensation Associate (known internally as Customer Operations Associate) will be contributing in the following areas: Own the ongoing operations for a portfolio of customers (i.e., rule building, process execution, reporting and dashboarding, and product support) Create automated reporting (financial, sales performance, incentive compensation) for customers to support process automation and improve business visibility Support design projects including analysis, financial modelling, project planning, customer workshops, and presentation/recommendation of findings Identify potential opportunities for process improvement in client processes (e.g., process execution, data validation, dashboard updates). Explore new techniques, working models to improve design and improve processes. Implement new Forma.ai platform features within your customer portfolio to support continuous improvement and automation Build strong working relationships with key customer stakeholders, ens

About Forma.ai: Forma.ai is a Series B startup that's revolutionizing how sales compensation is designed, managed and optimized. We handle billions in annual managed commissions for market leaders like Edmentum, Stryker, and Autodesk. Our growth has been fuelled by our passion for fundamentally changing and shaping how companies use sales intelligence to drive business strategy. We’re welcoming equally driven individuals who are excited about creating something big! About the team: The Customer Operations team is at the heart of Forma.ai's mission in optimizing incentive compensation plans for all companies . They wo rk directly with our customers in helping them understand and take advantage of all the sales compensation features Forma.ai offers . F rom streamlining administration and management of sales commission to designing your sales compensation plan , o ur Customer Operations team ensur es customers get the most value from our platform in optimizing every dollar spent on sales compensation. What you'll be doing: Reporting to the Senior Manager of Customer Operations, the Incentive Analytics Manager will contribute in the following areas: Develop a strong understanding of the Forma.ai product and platform to establish yourself as a product expert Lead the ongoing operations for a portfolio of customers (i.e., commissions rule building, process execution, reporting and dashboarding, and overall product support) Implement new Forma.ai platform features within your customer portfolio to support continuous improvement and automation Identify potential opportunities for process improvement in client processes (e.g., process execution, data validation, dashboard updates). Explore new techniques, working models to improve design and improve processes Lead design projects, including analysis, financial modelling, project planning, customer workshops, and presentation/recommendation of findings

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE As our International Treasury Manager, you will shape and safeguard Everpure's financial foundation across international entities. Partnering closely with Accounting, Tax, FP&A, Legal, Payroll and Accounts Payable, you will lead regional cash management, optimize intercompany liquidity, and scale high-impact banking infrastructure. You will leverage AI-enabled tools and automated workflows to transform cross-border financial operations into a seamless, high-performing growth engine. This role offers the unique opportunity to drive capital efficiency, mitigate risk, and directly fuel Everpure's global expansion. WHAT YOU'LL DO Optimize Global Liquidity & Capital: Mastermind regional cash optimization strategies and intercompany funding structures to maximize capital efficiency, execute short-term investments, and minimize idle liquidity across international entities. Lead Banking Relationships & Governance: Serve as the strategic operational lead for international financial institutions, managing account lifecycles, user access controls, and periodic KYC compliance to maintain robust financial governance. Build Predictive Cash Models & Trade Finance: Develop high-accuracy liquidity forecasts and deploy AI-assisted analytics to evaluate cash variance, while managing Letters of Credit (LCs) to ensure trade compliance and support business scale. Drive Cross-Functional Excellence & Compliance: Partn

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Pure is looking for a strong Value Specialist that will serve as a vital resource for delivering proposals of Pure Storage’s capabilities matching with customers’ business objectives. The candidate will be responsible for analyzing customer business cases and IT stack and providing client value propositions, business cases and proposals. The ideal candidate will be able to work with a disparate team from Pure via outstanding documentation and deliverables. WHAT YOU'LL DO Client Value Propositions: Develop persona-specific, outside-in value assessments that quantify our impact across key value levers—cost efficiency, revenue growth or protection, sustainability, and risk reduction. Collaborate directly with value beneficiaries to jointly validate and iterate these assessments, aligning on measurable business outcomes and ensuring shared ownership of the expected value delivered. Client Business Case: Produce and maintain the client business case in cashflow and P&L formats throughout the lifecycle of the opportunity. Position and validate business cases with client stakeholders gaining support for the economic proposition. Participate and support in pricing discussions with the client. Standardize business cases around common inputs and outputs to create financial models that can be repeated quickly and easily across accounts. Client Assets: Contribute to the writing and presenting of client value proposi

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. Location- Chennai Team: Engineering Enablement Group As a Senior Software Engineer in our Engineering Enablement Group, you will lead the re-design and evolution of our Mobile Branding framework — the system that enables customers to create custom-branded versions of the Appian mobile application for both iOS and Android. You will drive the architectural modernization of the end-to-end branding pipeline, from the customer-facing Forum application and provisioning tools to the backend build service running on Mac EC2 runners in AWS. By leveraging modern microservices, CI/CD automation, and cloud-native infrastructure, you will transform the current system into a more reliable, scalable, and maintainable platform that reduces manual intervention and accelerates customer delivery. We are looking for a technical leader who can bridge the gap between complex Ruby/Bash-based tooling, Appian process models, and AWS infrastructure to deliver a seamless mobile branding experience. Primary Qualifications: 6-9 Strong working experience with Android and iOS frameworks and mobile application development workflows. Familiarity with mobile build systems (Fastlane, Xcode, Gradle) and code-signing workflows. Experience with proficiency in Python, with experience in Ruby, Bash, or Go being a plus. Advanced experience with AWS infrastructure (S3, Lambda, EC2) and CI/CD pipeline design. Strong end-to-end knowledge of pipeline creation, deployment automation, and infrastructure-as-code (Terraform). Familiarity with monitoring, observability, and performanc

Roles & Responsibilities Displays structured problem solving, application of right tools & techniques to solve open ended problems, Creates productized analytics solutions or frameworks independently. Understand Business & product problems and come up with deep data backed solutions. Root cause analysis and Deep dive analysis of certain product problems Running and maintaining the reporting system, presenting insights at a weekly forum Building templates, dashboards in Power BI, Gsheets for operational and management reporting Data extraction as per business request for Ad hoc analysis Business analysis and understanding Evaluating metrics to be tracked as per business goals, exploring other available metrics for deeper understanding of product performance Work in a fast-moving environment, across multiple projects with varying levels of complexity and detailing Desired Skills and Experience: 3 - 5 years working with large data sets and conducting quantitative analysis Some understanding of Statistics and prior experience of building statistical models (e.g. hypothesis testing, product experimentation, A/B Testing, regressions). Excellent knowledge SQL and intermediate knowledge of data manipulation language such as R/Python Previous experience with working on ecommerce funnels, retention Ability to think through product and business metrics to assess product features Knowledge of business modelling and basic knowledge of financial metrics, would be a bonus Quick learner and ability to work in dynamic work environment Team player and comfortable interacting with people from multiple disciplines Established expertise in designing new dashboards, identifying the right metrics, layout; displays proficiency in building dashboards on Power BI using best practices and intuitive Qualifications Bachelor’s in engineering, Computer Science, Economics, Statistics, or related discipline from a reputed institute ...........................

Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner… What you will be doing? As a Data Engineer, your role involves crafting and maintaining robust data pipelines, utilising Python and SQL, to ensure efficient extraction, transformation, and loading (ETL) of data. Your responsibilities will include: Data Pipeline Development: Building and optimising data pipelines to facilitate seamless data flow across systems and platforms. Database Management: Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions. Cloud Services Integration: Leveraging cloud services such as MS Azure, GCP, and AWS to architect and deploy scalable data solutions. Machine Learning Integration: Collaborating with teams to integrate machine learning models into data pipelines for enhanced data processing. Utilising Spark & Kafka: Implementing and working with Spark and Kafka for real-time data processing and analytics. What we are looking for? Proficiency in Python, SQL, and database management. Experience with Data Pipelines ETL, Cloud Services ( MS Azure, GCP preferred) , ML Modeling, Spark & Kafka. Proven problem-solving skills and a solution-oriented mindset. Excellent communication skills to collaborate effectively within teams and with stakeholders. Strong business acumen with an interest in business-facing roles. Adaptability and a start-up mentality to thrive in a dynamic environment. Candidates with similar skill sets and experiences have excelled in technology firms or consultancy firms. Successful ca

DataHub is an AI & Data Context Platform adopted by over 3,000 enterprises, including Apple, CVS Health, Netflix, and Visa. Innovated jointly with a thriving open-source community of 13,000+ members, DataHub's metadata graph provides in-depth context of AI and data assets with best-in-class scalability and extensibility. The company's enterprise SaaS offering, DataHub Cloud, delivers a fully managed solution with AI-powered discovery, observability, and governance capabilities. Organizations rely on DataHub solutions to accelerate time-to-value from their data investments, ensure AI system reliability, and implement unified governance, enabling AI & data to work together and bring order to data chaos. What you’ll do: Manage end-to-end release cadences for both DataHub Core (OSS) and our Managed Cloud Coordinate cross-functional teams including engineering, product, QA, DevOps, documentation, and customer success Define Quality Gates: Establish the "Go/No-Go" criteria that ensure every release is rock-solid Build Automation: Design the dashboards and runbooks that turn manual release chaos into a streamlined machine Risk Mitigation: Identify breaking changes and dependency conflicts before they hit production Serve as the central point of contact for all release-related questions and updates Facilitate release retrospectives and drive continuous improvement initiatives Required Qualifications 5+ years of experience in technical program management or release management roles Proven track record of managing complex software releases in fast-paced startup environments Deep understanding of software development lifecycles, CI/CD practices, and DevOps principles Experience with both open-source and enterprise software release models is a strong plus Strong technical background with ability to understand architecture, dependencies, and technical trade-offs Excellent project management skills with proficiency in tools like Jira, Linear, or similar Outstanding commun

About Us Oliv.AI is a SalesTech global startup headquartered in San Francisco, debuting the world's first team of AI Agents for sales. With our recent $5.2M Seed funding, we solve one of the biggest problems for revenue teams: unreliable deal data. Oliv captures Deal Intelligence from every meeting, call, and email—without any rep involvement. The result is a clear, detailed view of every deal, presented in scorecards built on trusted sales methodologies like MEDDICC, BANT, and SPICED. Our AI agents are built for sales teams—sales managers, AEs, and RevOps—handling the work that takes them away from selling. With Oliv AI, sales teams can bring back focus on deals, strategy and conversation. About the Role We’re looking for an exceptional engineer to join the core team at Oliv AI. This is a high-ownership role for someone who can take an ambiguous product or engineering problem, figure out what actually needs to be solved, and drive it end-to-end from architecture and prototyping to production and iteration. You’ll primarily work on backend systems, but we don’t want engineers constrained by boundaries. If the problem requires frontend, infrastructure, data, AI/LLM integrations, or internal tooling, you should be comfortable figuring it out. We’re looking for someone with strong engineering judgment, someone who can spot what is not working, simplify complexity, think from the customer’s perspective, and improve the systems and practices around them. What You’ll Do Own complex, ambiguous engineering problems from first principles through production Design simple, scalable, reliable systems and make strong architectural trade-offs Think beyond the ticket and understand the customer problem behind what you’re building Identify technical or product issues proactively, not only when they are assigned Work across backend, frontend, infrastructure, data, and AI when needed Prototype quickly, test different approaches, and make decisions based on evidence Use mode