Data Instrumentation And Growth Measurement Lead Jobs

When 5% of Indian households shop with us, it’s important to build data-backed, resilient systems to manage millions of orders every day. We’ve done this – with zero downtime! 😎 Sounds impossible? Well, that’s the kind of Engineering muscle that has helped Meesho become the e-commerce giant that it is today. We value speed over perfection, and see failures as opportunities to become better. We’ve taken steps to inculcate a strong ‘Founder’s Mindset’ across our engineering teams, making us grow and move fast. We place special emphasis on the continuous growth of each team member - and we do this with regular 1-1s and open communication. Tech Culture We have a unique tech culture where engineers are seen as problem solvers. The engineering org is divided into multiple pods and each pod is aligned to a particular business theme. It is a culture driven by logical debates & arguments rather than authority. At Meesho, you get to solve hard technical problems at scale as well as have a significant impact on the lives of millions of entrepreneurs. You are expected to contribute to the Solutioning of product problems as well as challenge existing solutions. Meesho’s user base has grown 4x in the last 1 year and we have more than 50 million downloads of our app. Here are a few projects we have completed last year to scale oursystems for this growth: ● We have developed API gateway aggregators using frameworks like Hystrix and spring-cloud-gateway for circuit breaking and parallel processing. ● Our serving microservices handle more than 15K RPS on normal days and during saledays this can go to 30K RPS. Being a consumer app, these systems have SLAs of ~10ms ● Our distributed scheduler tracks more than 50 million shipments periodically fromdifferent partners and does async processing involving RDBMS. ● We use an in-house video streaming platform to support a wide variety of devices and networks.

About the team Data is everything… But only in the hands of the right person. And as part of our team, you will help us transform data into actionable insights and systems. When 5% of Indian households shop with us, it’s important to build data-backed, resilient systems to manage millions of orders every day. We’ve done this – with zero downtime! 😎 Sounds impossible? Well, that’s the kind of Engineering muscle that has helped Meesho become the e-commerce giant that it is today. We value speed over perfection, and see failures as opportunities to become better. We’ve taken steps to inculcate a strong ‘Founder’s Mindset’ across our engineering teams, making us grow and move fast. We place special emphasis on the continuous growth of each team member - and we do this with regular 1-1s and open communication. As Software Development Engineer- II -Data, you will be part of self-starters who thrive on teamwork and constructive feedback. We know how to party as hard as we work! If we aren’t building unparalleled tech solutions, you can find us debating the plot points of our favourite books and games – or even gossipping over chai. So, if a day filled with building impactful solutions with a fun team sounds appealing to you, join us. About the role Does digging deep for data and turning it into useful, impactful insights get you excited? Then you could be our next Software Development Engineer - II - Data. In this role, you will oversee your entire team’s work, ensuring that each individual is working towards achieving their personal goals and Meesho’s organisational goals. Moreover, you will keep an eye on all engineering projects and ensure the team is not straying from the right track. You will also be tasked with directing programming activities, evaluating system performance, and designing new programs and features for smooth functioning.

About the Role We are looking for a seasoned Engineering Manager to lead our Data Platform. You will own the architecture and evolution of a Petabyte-scale Data Lakehouse and a Self-serve Analytics Platform, enabling real-time decision-making across the organization. In this role, you will drive consistency and quality by defining the right engineering strategies. You will oversee multiple engineering projects, ensure timely execution, collaborate across functions, and mentor engineers to grow into high-performing contributors.

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Responsible for understanding the processes used to assess and mitigate risks related to the introduction of new package technologies so that you can improve efficiency and effectiveness by implementing automation, data analysis and machine learning/AI solutions. Set up data bases, develop data ingestion pipelines, and implement automated data analysis and reporting tools. Support problem solving and risk assessment for internal or customer quality issue by pulling and analyzing data. Contribute to the advancement of technology at Micron through mentoring, publishing technical papers (internal and external), and developing innovative solutions to challenging problems. Implement Automation, Data Analysis, and AI Solutions. Collaborate with Engineering teams to Map Package DDQA processes and data streams. Set up and optimize databases and develop solutions to improve efficiency and effectiveness. Understand the needs of internal customers and develop solutions. Support Problem Solving and Risk Assessment for Quality Issues. Pull relevant product information, manufacturing data, and reliability data based on given problem statements. Determine the appropriate dataset and treatment required to answer questions posed by problem solving teams. This could include producing data visualizations, machine learning models, statistical inferences, and web applications. Provide recommendations about root cause findings and product risk, based on data analysis. Collaboratively Communicate Findings and Best Practices. Share best practices with global teams to enable a cultur

At Citi Services - Global Trade and Working Capital Solutions (TWCS) Technology Organization, we are on a mission to harness the power of data to drive innovation, create exceptional customer experiences, and solve complex business challenges. Our data team is at the heart of this mission, building the scalable and resilient infrastructure that turns data into our most asset. We are a passionate, collaborative group dedicated to pushing the boundaries of what's possible. The Opportunity We are seeking an Engineering Director to join our development team. The ideal candidate is a seasoned technologist with extensive experience in building and delivering data & AI solutions for business functions. This individual will be directly and fully accountable for solution delivery and should have a history of creating strategic technology architecture roadmaps aligned with business outcomes. The successful candidate will define and execute the technology roadmap for the Data & AI portfolio of TWCS, providing strategic direction and critical input into technology decisions to ensure a scalable buildout. This role involves building strong relationships with senior business and technology partners, driving agile execution, and leading a team of expert engineers to deliver with velocity and quality. Applicants should demonstrate exceptional technical acumen, a strong data engineering background, and a proven ability to lead and provide technical direction to high-performing engineering teams. A proven expertise in Data Engineering, Data Analytics, and AI Engineering delivery at scale is essential. Responsibilities: Manage/develop multiple teams of professionals to accomplish established goals and conduct personnel duties for team (e.g. performance evaluations, hiring and disciplinary actions) as well as ensure team adheres to best practices and processes Develop vision for team aroun

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. Plaid’s Partnerships team develops strategic relationships with technology platforms and other ecosystem partners that expand the reach and impact of Plaid’s products. This role will focus on data and product partnerships that power Plaid’s Credit products and insights. Plaid’s Credit team is building the future of lending by making cash flow data as widely used and trusted as traditional credit data. Our mission is to expand access to more affordable credit by giving lenders real-time financial insights that improve risk assessment and decision-making at scale. In this role, you will build and manage the external data partnerships that power Plaid’s Credit products. The partner ecosystem is broad and includes traditional credit data providers, alternative data providers, financial infrastructure companies, and other sources of differentiated data and insights. You will work closely with Product and Engineering to understand where new data can improve existing products or unlock entirely new capabilities. You will identify and prioritize partners, develop creative commercial structures, and negotiate complex agreements that balance product, economic, and strategic considerations.

Strength in Trust OneTrust’s mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn’t slow teams down—it should accelerate what’s possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society. The Challenge We are looking for a Principal Solutions Engineer to lead the technical strategy behind our most complex AI and data governance opportunities. You will work directly with enterprise customers to design how they govern AI and data in practice, not just in policy. You will lead high-impact deals, influence executive stakeholders, and help position OneTrust as a leader in AI governance. At the same time, you will help raise the level of the entire Solutions Engineering organisation by building repeatable approaches that scale beyond our own deals. Your Mission Own technical strategy in complex, multi-stakeholder enterprise deals and partner closely with Account Executives to drive deal progression and win outcomes Engage senior stakeholders including CIO, CISO, AI, Risk, and Data leaders in high-impact conversations Design end-to-end AI and data governance solutions, translating fragmented requirements and regulatory expectations into scalable architectures and workflows Lead deep discovery, clearly position against alternatives, and deliver POCs tha

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, Singapore and São Paulo. The Role Addepar has just launched an Alternatives Product offering that gives Addepar clients the option to have their Private Funds data extracted, processed, validated, and ingested directly from Private Fund documents for a more automated end-to-end solution for handling Alternatives on the platform. This white-glove solution combines proprietary machine learning technology that automatically extracts data from Private Funds documents and human-in-loop review to validate any documents that fail to pass confidence and data quality checks. As a Senior Lead of the Alternatives Data Operations, you will lead the operations function that is responsible for the human-in-loop review of Private Funds documents, ensuring clients' Alternatives data is processed, validated, and available in Addepar in a timely manner. You will manage a team of Alternatives Data Ops analysts who review Private Fund statements, modify data that has been incorrectly extracted by our machine learning models, and reprocess data within SLAs. In this role, you'll own the operational strategy, team performance, and continuous improvement of the Alternatives Data Ops function—a critical component of Addepar's Alternatives offering success. Your responsibilities will include b

Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including frontier model training, enterprise adoption, defense applications, and autonomous vehicles. Our mission is to develop reliable AI systems for the world's most important decisions. The next frontier for AI is the physical world. We're looking for an AI Product Manager to own the Robotics vertical within our Physical AI team. In this role, you'll own both the development of the data and training environments (the teleoperated demonstrations, real-world collections, simulated tasks, and annotation products that labs use to train and evaluate robot policies) and the "data as a product" strategy that powers them. You'll understand where physical AI is headed, decide what robot tasks and embodiments are worth collecting, how to source and structure the underlying data, and how to turn deep domain knowledge into a defensible product. The ideal candidate has lived inside robotics or physical AI research, and is able to pair that domain understanding with a sense for where current robot policies succeed and fail in real-world workflows. You'll translate that expertise into datasets, environments, and evaluation frameworks that teach robots to do real physical work, and you'll be the domain expert Scale's most important customers and their leading researchers turn to. A strong entrepreneurial & go-to-market mindset will be necessary. What You'll Do Own the Robotics AI roadmap & data strategy: Set product direction for the robotics training stack and the data strategy behind it — what data we collect, on which hardware and embodiments, and what we source internally vs. through our marketplace. Establish a vision for where physical AI is heading, driving execution across engineering, operations, and go-to-market teams. Build partnerships with research teams at frontier labs: Work directly with researchers at leading physical AI labs to understand where their robot p

Opportunity Overview: We are seeking a Sr. Data Engineer to help drive the technical vision of our Data Engineering team as we scale our infrastructure, services, and architecture. This role is ideal for someone who blends deep technical expertise with strategic thinking and cross-functional influence. As a Sr. Data Engineer, you will partner closely with other data and analytics engineers, architects, product leaders, and business stakeholders to evolve our data infrastructure in support of high-trust, scalable, and business-aligned outcomes. You’ll also serve as a force multiplier across teams; raising the bar for data engineering excellence and accelerating the maturity of our data platform capabilities. What you’ll do: Develop, and maintain robust ETL/ELT pipelines to ingest, transform, and load data from multiple source systems into enterprise data platforms. Ensure pipelines are scalable, reusable, fault-tolerant, and optimized for batch and near real-time processing requirements. Develop interactive dashboards, scorecards, and KPI reporting solutions using BI tools. Deliver executive, operational, and analytical reporting aligned with business goals. Identify repetitive manual reporting processes and automate them using scripting, workflow orchestration, scheduling tools, and dashboard refresh mechanisms to improve efficiency, accuracy, and turnaround time. Collaborate with internal stakeholders and leadership teams to understand data integration and reporting needs, define KPIs, document business rules, and translate requirements into scalable technical solutions. Implement data validation checks, reconciliation controls, lineage documentation, metadata standards, and governance policies to maintain trusted, secure, and compliant data assets across the organization. Provide technical guidance, code reviews, best practices, and mentor junior team members. Investigate and resolve production incidents related to pipelines, delayed reports, data mismatches

Capco, a Wipro company, is a global technology and management consultancy specializing in driving digital transformation in the financial services industry. With a growing client portfolio comprising of over 100 global organizations, Capco operates at the intersection of business and technology by combining innovative thinking with unrivalled industry knowledge to deliver end-to-end data-driven solutions and fast-track digital initiatives for banking and payments, capital markets, wealth and asset management, insurance, and the energy sector. Capco’s cutting-edge ingenuity is brought to life through its Innovation Labs and award-winning Be Yourself At Work culture and diverse talent. About This Job The Business Analyst (BA) plays a critical role in supporting a banking Data for AI programme. You will work across business, data and technology teams to assess current data practices, identify gaps and bottlenecks, and translate findings into practical requirements and improvements. The ideal candidate combines banking/financial services experience, strong business analysis skills and hands-on data governance/data management knowledge. What You’ll Do Assess current-state data governance, ownership, stewardship, access, controls and data processes. Work across AI/data use cases to understand data requirements, sources, flows, access and consumption. Lead stakeholder interviews and workshops with business, data and technology teams. Map processes and data flows and identify gaps, bottlenecks, manual effort and unclear accountability. Translate findings into clear business/data requirements, target-state improvements and reusable governance patterns. Identify recurring enterprise data issues versus use-case-specific challenges. Engage and constructively challenge senior stakeholders and SMEs. What We’re Looking For Bachelor’s degree in business, Finance or related field 5+ years of Business Analyst with experience in data, AI/analytics, or technology t

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. Role Overview IFO (Inter-State Field Officer) is a hardcore field operations role responsible for interstate movement, inventory handling, business operations support, and transportation of recording data/devices across cities. This role involves continuous road travel, coordination with city teams, inventory verification, and ensuring safe movement of company assets and recording data. Ideal for highly responsible, street-smart candidates who are comfortable with frequent travel and operational execution. Key Responsibilities Travel across cities/states by road for operational requirements Collect and safely transport recording data (SD cards) from city teams Transport company devices/inventory between locations when required Perform inventory verification and device checks at city locations Ensure safety and accountability of company assets during travel Coordinate with Data Captains and city teams for smooth operations Verify operational readiness and reporting from field teams Resolve on-ground operational issues during travel Support business recording operations when required Maintain proper handover/takeover process for inventory and data Travel Requirements Extensive interstate road travel is mandatory Travel may happen on alternate days regularly Continuous travel for multiple days may be required based on business needs All travel will be company-sponsored Candidate must be comfortable with long-distance road travel and flexible schedules If no travel is assigned, candidate must report to offic

About the Team OpenAI's data and storage infrastructure spans data platforms, online databases, and file/object storage. These systems underpin data ingestion and processing, durable persistence, indexing and retrieval, and product file experiences. As frontier models and agents evolve how they use memory, history and snapshots, the underlying architecture increasingly shapes the capabilities products can deliver—and their latency, reliability, cost and efficiency. About the Role We are looking for a technically deep TPM to independently define and lead multiple programs across data platforms, online databases and storage infrastructure. You will connect model, product and data-consumer requirements to architecture, and work with the relevant engineering teams to take new capabilities through production adoption and repeatable expansion. The design scope is exabyte-scale storage and infrastructure spanning multiple millions of CPU cores. The challenge is not simply forecasting more resources: it is making complete, workload-ready capacity repeatable, with a clear path from product requirements through architecture, deployment and validation. A data pipeline, database query, file operation or execution snapshot can affect whether a product or agent succeeds; you will connect those outcomes to the systems underneath. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Translate model, product and data-platform needs into precise access patterns, consistency, durability, freshness, availability and scalability requirements. Connect memory, history, retrieval and resumable work to capability and end-to-end latency. Partner with engineering to transform data and storage architecture into repeatable scale units: standardized provisioning, placement, routing, data movement and readiness checks that bring storage, compute and networking online together.

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. Senior Site Reliability Engineer (SRE) - Security and Data Systems Our company is seeking a highly skilled Senior Site Reliability Engineer to join our team. We are a SaaS company specializing in securing large-scale systems. This role is a blend of software engineering and systems administration, where you'll be responsible for building and maintaining highly reliable, scalable, and secure infrastructure. You will be a key contributor, applying your expertise to automate manual processes and proactively solve complex problems before they become incidents, handling incidents, and includes on-call shifts. * This position requires the ability to access U.S. National Security information. As a condition of employment for this position, the successful candidate must be able to submit documentation establishing U.S. Person status (e.g. a U.S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee. 22 CFR 120.15 ) upon hire. Responsibilities Platform & Reliability: Design, build, and maintain the core infrastructure that underpins our security SaaS offerings, ensuring high availability, performance, and scalability. This includes building and operating the tooling for our Snowflake data systems. Automation: Develop robust automation using code to eliminate toil and ensure consistency across our environments. You'll be a key driver in automating everything from infrastructure provisioning to application deployment and incident response. Security &amp

About the Team The Human Data team turns human feedback into reliable signals for training and evaluation. We design and run end-to-end programs that capture the depth of human intent behind everyday and high-stakes uses of our models. Our remit spans bespoke data campaigns, scalable synthetic data generation, and product-embedded signals. We partner closely across all research teams to translate these signals into training datasets, novel evaluations, and feedback loops that push the frontier of our models and advance their applications. About the Role As a Program Manager (PGM) in the Human Data team you will partner with our research teams, operations and engineering to execute complex programs for collecting high-quality data. You will be a key interface between our external vendors and AI trainers, ensuring human data campaigns are successfully completed. Your work will play a key role in enabling OpenAI to train safe models that will land in the real world This role is based in our San Francisco HQ. In this role, you will: Work in a high velocity environment, where the outcome of your work will have a direct impact on the models that OpenAI deploy in the real world Work closely with external vendors, trainers and internal researchers to collect, review, and deliver high-quality data Gather requirements, write instructions, define success criteria, and calibrate the AI trainers Use internal tooling to assess labeled data and provide feedback to AI trainers Think critically and share recommendations on tooling and process improvements, optimizing for quality, throughput, and AI trainer experience You’ll thrive in this role if: You thrive in dynamic environments. You are comfortable navigating ambiguity, managing shifting priorities, and adapting to fast-paced changes without missing a beat. You’re curious about AI, LLMs, Agents. While not required, an interest or background in these areas will help you connect the dots in our broader mission. You have a can-do a