Data Center Controls Network Engineer in Bengaluru

Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we’re looking for exceptional talent to reimagine the way the world works. At our labor marketplace tech company, we believe that even in the age of AI, the core of success comes down to good people doing honest work. We're seeking a detail-oriented and automation-savvy Product Operations Analyst to help us optimize our operational processes and ensure data accuracy across our platforms. This is a fantastic opportunity to grow your career at the intersection of operations, data, and intelligent automation. Who You Are: Automation Enthusiast: You're passionate about eliminating manual work through automation. You've built workflows using tools like n8n, Zapier, or Make.com, and you're always looking for the next process to optimize. AI-Powered Problem Solver: You actively leverage AI tools like ChatGPT, Claude, or other LLMs to enhance your productivity, solve complex problems, and generate insights. You see AI as a powerful co-pilot in your daily work. Data-Driven & Analytical: You're comfortable diving into databases using SQL, analyzing trends in Excel or Google Sheets, and creating dashboards to visualize operational metrics. You use data to drive decisions and measure impact. Technical Tinkerer: You enjoy building solutions using no-code/low-code platforms like Replit, Retool, or similar tools. You're not afraid to write simple scripts or work with APIs to connect systems and automate workflows. Process Optimizer: You have a natural instinct for identifying inefficiencies and redesigning processes. You're organized, detail-oriented, and obsessed with creating scalable,

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. About Okta & Our Culture At Okta, partners are central to our success. The Global Partner Program team equips partners with the operational foundation, resources, and clarity needed to build thriving, long-term Okta practices. Embedded in our Okta culture, we champion conscious leadership, high self-awareness, active empathy, and radical accountability. We focus on the whole human—fostering transparent relationships with our partners while enabling high-velocity growth. Role Overview We are seeking a Global Partner Sales Desk Specialist who brings an outward mindset and strong operational rigour to our partner-led deal flow. Reporting to the Manager of Global Partner Operations, you will be the connective tissue between external partners and internal stakeholders—leading Deal Registration qualification, streamlining quoter-to-order workflows, and driving data integrity across systems. The ideal candidate is a self-aware communicator who thrives in a dynamic environment, embraces continuous learning, and takes pride in elevating both partner and team performance. Location & Structure: Hybrid role with cross-regional timezone support (rotational shifts). Reports to: Manager, Global Partner Operations Key Responsibilities Empathy-Led Deal Registration Management: Review and validate Deal Registrations (DR) with speed and precision, ensuring program compliance while actively removing friction for partners. Serve as an approachable guide to troubles

About the Role Adobe is seeking a Machine Learning Engineer to join the Adobe Genuine Engineering team. This group protects Adobe's ecosystem from fraud, abuse, and misuse using intelligent systems worldwide. In this position, you will build and develop machine learning models from scratch, including custom transformer-based frameworks, to identify fraudulent actions, stop account sharing, and protect the experience of hundreds of millions of users. You will manage the entire model lifecycle: raw behavioral data and feature engineering, architecture development, large-scale GPU training, deployment, and monitoring. The team is actively building in-house behavioral foundation models that learn identity-preserving representations from long sequences of user activity. This is a role for an engineer who wants to own deep learning systems end-to-end — not consume pre-built ones. Key Responsibilities Build and train deep learning models from scratch, including custom transformer and attention-based architectures for long behavioral event sequences. Own the full training stack: event tokenization, temporal and positional embeddings, self-supervised pretraining (e.g., masked modeling, contrastive learning), and downstream fine-tuning. Train large models efficiently on GPU infrastructure using mixed-precision training, gradient accumulation/checkpointing, efficient attention, and distributed strategies (DDP, FSDP, or equivalent). Build and optimize feature pipelines on Databricks and Spark, transforming raw behavioral events into high-quality model inputs. Translate prototypes into production ML systems — scalable, reliable, and observable — and drive inference performance through architectural and serving-side optimization. Contribute to MLOps practices: experiment tracking, model versioning, CI/CD, automated retraining, and

Financial Analyst Description - Job Summary • This role is responsible for supporting financial management by analyzing, reporting, and reconciling financial and operational results, identifying and researching variances to plans, and providing recommendations to key stakeholders. The role engages in budgeting and forecasting processes while ensuring reporting compliance. The role supports priority projects and maintains strong relationships with internal stakeholders. Responsibilities • Performs data extraction as well as diagnosis of financial drivers, and leverages analytics to make recommendations to key stakeholders. • Conducts comprehensive financial analysis for specific functions or business units, addressing financial business issues and providing valuable analytics to support key business initiatives. • Provides inputs for monthly review of expenses and capital for budgeting and forecasting process and analyzes variances with operational analytics and insight. • Interprets financial reports, including forecasts, budgets, income statements, balance sheets and cash flow documents. • Acquires a comprehensive understanding of the organization's financial processes and gains proficient knowledge of the company's operations and business. • Supports business by closing the books, analyzing variances and trends, and developing financial forecasts that are consistent with the business objectives of the organization. • Ensures compliance with reporting standards and corporate policies and the integrity of external and internal reporting. • Applies foundational principles and contributes proactively to projects through research and data analysis support, providing regular updates on accomplishments and impediments. • Supports priority projects with direction, maintaining relationships with internal stakeholders an

Job Title Summer Intern (ISB Hyd) Job Description Minimum required Education: First-year MBA students from business schools. Minimum required Experience: No prior experience required. Minimum required Certification: N/A Job title: One sentence description of role About Opportunity Join Philips Personal Health and gain hands-on experience working with some of India's most trusted consumer brands. As a Marketing Intern, you'll work closely with the marketing team to understand how products are launched, brands are built, and business decisions are made using consumer insights and market data. This internship offers an exciting opportunity to learn marketing, consumer behavior, digital marketing, and commercial strategy while working on a real business project. What You'll Work On Understand Consumers & Markets Analyze consumer trends, market developments, and competitor activities. Support research to identify opportunities for business growth. Gather insights and translate findings into practical recommendations. Support Product & Business Initiatives Assist in new product launch planning and go-to-market activities. Conduct market assessments and competitive benchmarking. Help track category performance and business metrics. Contribute to Marketing Campaigns Support execution of marketing campaigns across Digital, E-commerce, social media, Retail, and other channels. Work with creative and agency partners on campaign-related activities. Monitor campaign performance and prepare summary reports. Work Across Different Functions Collaborate with teams across Sales, E-commerce, Finance, Supply Chain, and Marketing. Participate in business

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 hiring a Staff Software Engineer for our Frontier Security AI team. Snowflake's Frontier Security AI teams develop production-grade LLM applications, intelligent agents, AI infrastructure, and evaluation systems for enterprise customers — products that must meet a high bar for quality, security, reliability, and efficiency while operating over sensitive data at large scale. In this role, you will lead the design and development of our Agentic Harness and agent evaluation platform, working across product, infrastructure, applied AI, security, and modeling teams to take new capabilities from prototype to dependable customer value. AS A STAFF SOFTWARE ENGINEER AT SNOWFLAKE, YOU WILL: Architect and build the Agentic Harness that executes complex, multi-step AI workflows across models, tools, data, and services. Design stable interfaces for tool execution, context construction, state management, memory, permissions, retries, fallbacks, and human review. Own agent quality end to end by building evaluation harnesses, representative datasets, automated graders, experiment pipelines, and release gates. Convert ambiguous reports such as "the agent feels worse" into measurable failure modes, reproducible tests, and durable fixes. Analyze production agent trajectories to identif

About Bolna Bolna is a YC-backed voice AI orchestration platform built for the Indian market—powering multilingual, vernacular voice agents across Hindi, Hinglish, Tamil, and 10+ languages at sub-500ms latency across collections, recruitment, sales, and e-commerce use cases. We are an orchestration layer, not a model company: our moat is outcome-labelled vernacular data, rigorous evaluation infrastructure, and a growing taxonomy of how Indian enterprise voice AI fails in production. Why This Role Exists Product decisions at Bolna increasingly hinge on rigorous, code-mixed-aware data analysis—and not just one kind. On one side, there is model and evaluation rigor: LLM benchmarking for post-call intelligence, ASR/WER evaluation, inter-rater reliability on human-labelled calls, and routing and latency economics. On the other, there is product and growth insight: understanding where self-serve users drop off in their journey, what patterns emerge across lakhs of monthly calls, and which use cases and configurations are actually working. Both currently sit with the Head of Product alongside strategy and roadmap ownership. We need a dedicated analyst to own the execution and recurring cadence across both-freeing product leadership to act on findings rather than produce them. What You’ll Do Model and Evaluation Analysis LLM and model benchmarking: Run structured comparisons across model providers such as Sarvam, DeepSeek, Gemini, and Claude variants for tasks including post-call extraction and LLM-as-judge scoring. Evaluate cost, accuracy, fill rate, and TTR, with particular attention to Hinglish and code-mixed content. Evaluation infrastructure: Build and maintain LLM-as-judge pipelines using tools such as DeepEval, design and track evaluation metrics, and run inter-rater reliability analysis such as Krippendorff’s alpha across human call reviewers. Golden dataset creation: Support the construction of golden datasets for ASR and transcript labelling, including flagging co

Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we’re looking for exceptional talent to reimagine the way the world works. Location : Bengaluru (On-site) + multi-city coordination Instawork Robotics Lab (IRL) Robots are getting smarter, but they still can’t reliably do the everyday physical tasks people do — chopping vegetables, stocking shelves, assembling parts. The bottleneck is data. UC Berkeley’s Prof. Ken Goldberg calls it the “100,000-year data gap”: the chasm between the massive text datasets used to train language models and the tiny amount of real-world, physical-dexterity data available to train robots. The entire robotics industry collected only ~100,000 hours of training data in 2024 and ~1 million in 2025 — and even the ~20 million hours projected for 2026 is still less than 0.04% of what is ultimately needed. IRL exists to close that gap. Using Instacore — a wearable multi-camera and sensor system (head, chest, and wrist cameras plus IMUs and a compute pack) — our field teams capture synchronized, high-diversity egocentric data of real people doing real tasks across real commercial environments: kitchens, warehouses, hotels, retail, and light manufacturing. That data is quality-checked, anonymized, and delivered to the world’s leading robotics companies and foundation-model labs to teach robots how to operate in the messy physical world. In India, we run the on-ground engine of this mission — a growing fleet of Instacore rigs, Field Officers and Data Collectors, regional hubs, and the operations and finance backbone that keeps it

Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we’re looking for exceptional talent to reimagine the way the world works. Instawork Robotics Lab (IRL) Robots are getting smarter, but they still can’t reliably do the everyday physical tasks people do — chopping vegetables, stocking shelves, assembling parts. The bottleneck is data. UC Berkeley’s Prof. Ken Goldberg calls it the “100,000-year data gap”: the chasm between the massive text datasets used to train language models and the tiny amount of real-world, physical-dexterity data available to train robots. The entire robotics industry collected only ~100,000 hours of training data in 2024 and ~1 million in 2025 — and even the ~20 million hours projected for 2026 is still less than 0.04% of what is ultimately needed. IRL exists to close that gap. Using Instacore — a wearable multi-camera and sensor system (head, chest, and wrist cameras plus IMUs and a compute pack) — our field teams capture synchronized, high-diversity egocentric data of real people doing real tasks across real commercial environments: kitchens, warehouses, hotels, retail, and light manufacturing. That data is quality-checked, anonymized, and delivered to the world’s leading robotics companies and foundation-model labs to teach robots how to operate in the messy physical world. In India, we run the on-ground engine of this mission — a growing fleet of Instacore rigs, Field Officers and Data Collectors, regional hubs, and the operations and finance backbone that keeps it all running at quality and scale. Role Overview The Finance Associat

Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we’re looking for exceptional talent to reimagine the way the world works. About IRL (Instawork Robotics Labs) Researchers at UC Berkeley have identified a “100,000-year data gap” — the gulf between what trained AI language models and what physical robots actually have to learn from. Closing that gap is the defining infrastructure challenge of the physical AI era. IRL is Instawork’s answer to it. We deploy skilled workers into real commercial and residential environments — kitchens, warehouses, hotel floors, homes — to capture the high-fidelity task data that the world’s leading Robotics labs use to train their foundation models. Read more [ here ] What You'll Do Design and deliver on a learning curriculum for the Operations team that aligns with Instawork’s business objectives and scales with a growing organization; coordinate and administer training Develop a comprehensive onboarding program that encourages new team members to provide premier support for Instawork’s customers and internal stakeholders, as well as prepare them for an intensive operational role managing high volume and nuanced customer requests Collaborate with management to create training plans, develop training modules, and facilitate real-time training for Operations new hires and continuing education for tenured specialists Manage the efficacy of new hire onboarding through continuous process planning, execution, and identifying metrics for the Operations learning curriculum Establish methods for measuring and reporting on learner engagement, comprehension, and practical application Provide con

Job Title Product Manager, G&B Digital Products, PHDSI Job Description Job title: Product Manager , G&B Digital Products, PHDSI Your role: The Product Manager will be responsible for driving the product management activities for digital propositions within Grooming & Beauty, with an initial focus on the Lumea program. The role will work closely with Business, R&D, Digital, UX, Data/AI, Marketing, Regions and Platform teams to ensure strong product definition, roadmap alignment, business value realization and successful delivery of digital experiences. The role requires a strong balance of business understanding, digital product thinking, stakeholder management and execution focus. Own and drive Product Management activities for assigned G&B digital propositions, ensuring alignment with business strategy, consumer needs, market priorities and portfolio direction. Define and maintain the product roadmap, including value proposition, feature priorities, release scope, claims, business case inputs and market readiness needs. Translate business and consumer needs into clear product requirements, working closely with Product Owners, UX, architects, engineering teams, data/AI teams and marketing stakeholders. Ensure strong connection between upstream product strategy and downstream execution across app, cloud, data, AI and connected propositions. Drive prioritization of features and capabilities based on consumer value, business impact, technical feasibility, regulatory needs, cost, performance and delivery timelines. Support development and realization of the business case, including value creation, adoption, engagement, proposition performance and contribution to business outcomes. Lead cross-funct

About Zinnov Zinnov is a global management consulting firm that helps organizations make decisions that actually get used — and deliver results that matter. For over two decades, we’ve partnered with leading enterprises, high-growth technology companies, and investors to answer some of the toughest questions they face: Where should we invest? How do we scale globally? What capabilities will win in the next decade? Our work shapes market entry strategies, global operating models, M&A decisions, and long-term growth bets. We’re known for being data-led, execution-focused, and outcome-driven — not opinion-heavy slideware. At Zinnov, how you work matters as much as what you deliver. We value independent thinking, crisp communication, and early ownership. With 450+ professionals across 10 global offices, we work across industries including Digital Services, ER&D, Enterprise Software, Semiconductors, Healthcare, BFSI, Automotive, Media & Telecom, and Private Equity. Zinnov isn’t for everyone. It’s for people who want steep learning curves, honest feedback, and the chance to see their work influence real business decisions — not just presentations. Why Corporate Functions? Zinnov’s Corporate Functions teams power how the firm delivers at scale—building the internal engine behind high-growth, high-impact work. You’ll get: • Hands-on ownership in running and scaling core operations (including Finance Operations, AP/AR, and process discipline). • Exposure to end-to-end enablement models that strengthen operating engines, employee experience, and scalable processes. • A highly cross-functional environment with close collaboration across delivery/PMO and domain teams to drive consistent execution. About the Role As Senior Executive – Global Accounts Payable , you will manage end-to-end Procure-to-Pay (P2P) operations across multiple global entities, ensuring timely invoice processing,

Position Overview: A Junior Research Analyst within the Diligent Market Intelligence function supports subject matter expertise in specialized research areas such as compensation, governance, activism, voting, and risk. Their main responsibilities include assisting in the design and management of data collection methodologies, overseeing third-party service provider workflows, and ensuring high-quality, timely data delivery. They are also expected to execute manual data collection from global sources, maintain strong quality assurance practices, and collaborate closely with Product and Engineering teams to ensure operational efficiency and accuracy. Additionally, Junior Research Analysts take ownership of specific daily and weekly tasks, contribute to ongoing projects, and play a key role in training service providers while keeping process documentation clear and up to date. The role requires strong numeracy, attention to detail, independent work habits, and a proactive approach to continuously improving research products and processes. Key Responsibilities: Proactive communication and management of outsourcer workload. Conduct data collection tasks to uphold the integrity of our database and keep it current. Execute systematic checks to identify data inaccuracies and operational inefficiencies as per predefined protocols. Provide regular updates and reports to the Vertical lead on progress and challenges. Take ownership of specific daily and weekly tasks, as well as ongoing projects within the assigned research vertically. Required Experience/Skills: Entry level Analytical approach and problem-solving attitude Strong written and verbal communication skills Ability to manage deadlines Ability to adapt to difficult workload demands, e.g., time/resource constraints Proficiency in Microsoft Office, especially Excel About Us Diligent is the AI leader in governance, risk and compliance (GRC) SaaS solutions, helping more than 1 million users and 70

Why project44? At project44, we believe in better. We challenge the status quo because we know a better supply chain isn’t just possible—it’s essential. Better for our customers. Better for their business. Better for the world. With our Decision Intelligence Platform, Movement , we’re redefining how global supply chains operate. By transforming fragmented logistics data into real-time, AI-powered insights, we empower companies to connect instantly, see clearly, act decisively, and automate intelligently. Our Supply Chain AI enhances visibility, drives smarter execution, and unlocks next-gen applications that keep businesses moving forward. Headquartered in Chicago, IL with a 2nd HQ in Bengaluru, India we are powered by a diverse global team that is tackling the toughest logistics challenges with innovation, urgency, and purpose. AI at project44 We expect every project44 team member, regardless of role or function, to actively leverage AI in their day-to-day work. Whether you're building product, serving customers, managing people, or running operations, AI is a tool you're expected to use with intent, curiosity, and judgment. We don't expect everyone to be a data scientist. We do expect everyone to be an intelligent user of AI: able to identify where it adds value, direct it effectively, evaluate outputs critically, and govern it responsibly. We invest in our team's AI fluency because we believe it's a competitive advantage for every person at project44, not just our engineers. If you’re driven to solve meaningful problems, leverage AI to scale rapidly, drive impact daily, and be part of a high-performance team – we should talk. Overview The Prompt Engineer is a specialist in building, expanding, and managing AI Agents that power project44’s AIA Operations organisation. Acting as both an AI workflow architect and operational strategist, the Prompt Engineer plays a central role in designing, governing, and scaling the operational frameworks that

Who are we? FalconX is a pioneering team of operators, investors, and builders committed to revolutionizing institutional access to the crypto markets. Operating at the intersection of traditional finance and cutting-edge technology, FalconX addresses the industry's foremost challenges: Navigating the digital asset market can be complex and fragmented, with limited products and services that support trading strategies, structures, and liquidity found in conventional financial markets. As a comprehensive solution for all digital asset strategies from start to scale, FalconX operates as the connective tissue empowering clients with seamless navigation through the ever- evolving cryptocurrency landscape. Role Overview As an Engineering Manager for the Credit team, you will lead the core engine driving our credit systems, including the margin notification engine and loan booking system. Your primary focus will be on maximizing data accuracy, system reliability, and architectural integrity. You will lead a high-performing group of senior engineers, stream-lining technical processes, preventing over-engineering, and maintaining a high standard of delivery alongside key stakeholders. Role Split & Focus Areas Technical Leadership & Architecture (40%): Drive long-term system maintenance, architectural refactoring, and code quality. Ensure technical debt is addressed without blocking impactful business features. Process & Stakeholder Management (20–30%): Partner with product and business stakeholders to prioritize deliverables. Make decisive trade-offs and cut unnecessary overhead to maintain lean execution. People Management & Mentorship (20–30%): Manage, mentor, and guide senior technical talent across performance cycles, career growth, and talent acquisition. Key Responsibilities Oversee and maintain the reliability, precision, and efficiency of core credit applications (Margin Notification Engine, Loan Booking Systems). Drive architectural roadmap decision