Model Validation Senior Manager Jobs

About Capco Capco is a global business and technology consultancy dedicated exclusively to the financial services industry. Our consultants bring innovative thinking together with deep, first‑hand industry experience to help clients solve their most complex business and technology challenges. We partner with leading banks, capital markets firms, and wealth & investment managers to deliver transformation across finance, risk & compliance, regulatory change, and technology. With offices across major financial centres in North America, Europe, and APAC, Capco offers the opportunity to work on large‑scale, high‑impact programmes that shape the future of financial services. At Capco, collaboration, delivery excellence, and entrepreneurship define how we work and succeed. Project Manager – Data Management & Transformation THE ROLE The Project Manager – Data Management & Transformation will lead the delivery of strategic data initiatives, with a focus on Data Quality (DQ) remediation, data management capabilities, and enterprise data transformation programmes. The role is responsible for coordinating cross-functional teams, managing project plans, and driving execution across business and technology stakeholders. The successful candidate will bring strong programme and project management expertise, coupled with practical experience delivering data-focused initiatives involving data quality improvement, data lineage, data models, system design, and data governance capabilities. Key Responsibilities 1) Project & Programme Delivery Lead the end-to-end delivery of data management and transformation initiatives. Develop and manage integrated project plans, milestones, delivery schedules, and critical paths. Coordinate activities across business, data, technology, architecture, and vendor teams. Drive project execution from mobilisation through implementation and transition. Ensure delivery aligns with agreed scope, timelines, budget, and quality objectives.

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 UPI is the backbone of India's digital payments revolution — and Paytm is one of its largest participants, processing hundreds of millions of transactions every month. We are looking for a Product Manager to join our UPI team and drive product strategy, user growth, and experience excellence across our UPI-powered flows. This role sits at the intersection of consumer behaviour, financial infrastructure, and regulatory nuance. You will own high-impact product surfaces and work closely with engineering, design, data, and business teams to ship products that millions of Indians use daily. Key Responsibilities 1. Analytics Strategy & Ownership - Own the end-to-end analytics charter for one or more UPI surfaces — from metric definition to instrumentation to insight generation - Build and maintain the source-of-truth framework for north-star and guardrail metrics across the UPI funnel (initiation, authentication, success/failure, retention) - Partner with NPCI-mandated reporting requirements and ensure analytical rigor aligns with regulatory data standards - Lead a team of analysts, setting priorities, reviewing outputs, and raising the bar on analytical craft 2. Funnel, Growth & Behavioural Insights - Diagnose friction points across the UPI journey using deep-dive analysis, cohort studies, and funnel decomposition - Build engagement, frequency, and top-of-wallet models to inform product and growth strategy - Design analytical frameworks for discovery and nudge effectiveness as new UPI capabilities are adopted - Partner with design and product research to combine quantitative and qualitative signals into a

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. As a member of the Applied AI team at Anthropic, you will be a Forward Deployed Engineer (FDE) who embeds directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems. Our FDEs engage with customers to accelerate the adoption of existing products and create new applications built on our models. Working closely with our Post-Sales, Product, and Engineering teams, you'll combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to understand customer workflows and develop innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability. You will sit at the frontier of enterprise AI deployments and serve as one of our founding FDEs who helps to shape our forward-deployed motion. We expect our FDEs to operate autonomously, thrive under ambiguity, and represent Anthropic at the highest level in customer environments. This is a significant responsibility: you’ll play a key role in championing our mission in the enterprise. Responsibilities Work within customer systems to build production applications with Claude models, ensuring that these products me

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 Everpure is recruiting an EMEA Benefits Specialist into our Global Benefits Team, based in Prague and reporting to the Head of EMEA Benefits. This is a hands-on delivery role managing the full benefits lifecycle across our eighteen-country EMEA portfolio - country renewals, end-to-end vendor financial management, statutory compliance and annual enrolment execution. You will be the operational spine of the region. We are looking for someone who treats deadlines as absolute commitments: meets compliance requirements on time, runs financial processes smoothly, and who makes sure broker and project milestones are executed with precision. We have transitioned a number of in region day-to-day administrative activities to HR Shared Services, and this role plays a key part in the continued transition and support of these activities. Analysis runs through all of this: 18 countries, multiple currencies, year-on-year cost comparisons, and premium data that must reconcile against memberships, payroll and accounts. WHAT YOU'LL DO Financial & Renewal Governance: Drive the end-to-end benefits lifecycle, from managing complex multi-currency renewal cost models to reconciling premium and membership data, ensuring financial accuracy and procurement compliance. Operational Strategy & Automation: Architect the transition of administrative tasks by identifying, designing, and implementing automation workflows to replace manual

About the Role UPI is the backbone of India's digital payments revolution — and Paytm is one of its largest participants, processing hundreds of millions of transactions every month. We are looking for an Analytics Lead to join our UPI team and own the data and insights charter that powers product, growth, and platform decisions across our UPI-powered flows.This role sits at the intersection of consumer behaviour, financial infrastructure, and large-scale data systems. You will build the analytical backbone for UPI — from funnel and cohort frameworks to experimentation infrastructure — and work closely with product, engineering, data science, and business teams to turn transaction-scale data into decisions that affect millions of Indians daily. Key Responsibilities 1. Analytics Strategy & OwnershipOwn the end-to-end analytics charter for one or more UPI surfaces — from metric definition to instrumentation to insight generationBuild and maintain the source-of-truth framework for north-star and guardrail metrics across the UPI funnel (initiation, authentication, success/failure, retention)Partner with NPCI-mandated reporting requirements and ensure analytical rigor aligns with regulatory data standardsLead a team of analysts, setting priorities, reviewing outputs, and raising the bar on analytical craf t2. Funnel, Growth & Behavioural InsightsDiagnose friction points across the UPI journey using deep-dive analysis, cohort studies, and funnel decompositionBuild engagement, frequency, and top-of-wallet models to inform product and growth strategyDesign analytical frameworks for discovery and nudge effectiveness as new UPI capabilities are adoptedPartner with design and product research to combine quantitative and qualitative signals into a single narrative 3. Platform Reliability & Scale AnalyticsDefine and monitor SLA, success-rate, and latency benchmarks; build alerting and anomaly-detection frameworks tied to these metricsBuild root-cause analysis playbooks for pa

The Senior Planning and Operations Manager leads the end-to-end planning function across demand, supply, and inventory to ensure the right product is in the right place at the right time to maximize sales and profitability. The role manages the demand and supply planning cycle, manages open-to-by budgets, and manages the allocation and inventory strategy across regions and sales channels to ensure accurate, and timely sales order management aligned with GTM launch dates. This position is responsible for managing the demand forecast, supply planning, and open-to-buy process, and setting sales, margin, weeks of supply, and DIO plan by product line. The role is an expert in using data analytics to improve forecast accuracy, align inventory management with revenue forecasts, and utilize sell-through analytics to support inventory strategies. The ideal candidate is a strategic, analytical leader who can partner cross-functionally with Merchandising, Sales, Service, Order Management, Marketing, Supply Chain to ensure brand, product, and go-to-market strategies are supported through the pre-season and in-season processes. Essential Functions and Key Responsibilities: Open to Buy Management Build annual, seasonal, and monthly demand and open to buy plan models in alignment with sales channel revenue plans and DIO strategies. Ensure alignment between merchandise plans, OTB budgets, and supply/demand plans to drive a cohesive end-to-end planning process. Manage the OTB process, ensuring purchasing plans align with financial targets, inventory turn goals, and sales forecasts Partner with Finance, Sales, merchandising to build, monitor performance, and adjust OTB budgets by region, sales channel, and category. Provide regular OTB reporting and recommendation allocation of OTB dollars to s

Perplexity is seeking energetic engineers to join our highly driven Agents engineering team. The Agents team consists of backend, full-stack, and AI/ML engineers who collaborate to build harnesses and AI systems powering delightful agentic experiences. These experiences include Perplexity Computer (our platform for generalized frontier intelligence), the Comet ecosystem , our Agent API, and more. Our vision is to empower our users with agents that can faithfully actualize their intent, however and wherever expressed, through open-ended interactions with the world. As an engineer on our Agents team, you will bring AI expertise, sharp product intuition, and a tinkerer's mindset to advance the frontier of what agents can accomplish for our millions of devoted users. You will work across applied research and engineering to solve many open problems in AI, including: Designing AI agents to navigate the digital world and perform increasingly valuable units of work for our users; Training action and decision models that determine, based on complex multimodal states, how to accomplish user-specified objectives; Providing consistently excellent experiences across desktop, mobile, headless cloud, and other environments through flexible abstractions and frictionless backgrounding; Developing permission architectures, payload classifiers, and other methods to implement secure-by-design agentic capabilities; Designing optimal data representations and modes of interaction between agents and their environments; and much, much more. Responsibilities Engineer agent harnesses that connect powerful models with the environments and tools required to perform economically valuable work for users. Drive cutting-edge AI capabilities across multiple layers of a rapidly growing product in the AI agents space. Develop and leverage cutting-edge AI models, infrastructure, and browser technologies to advance the capability frontier and scale those capabilities for a rapidly growing userbase. Ensu

About Flexport: At Flexport, we believe global trade can move the human race forward. That’s why it’s our mission to make global commerce so easy there will be more of it. We’re shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year. The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. We are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us. The Opportunity Flexport.org is the humanitarian arm of Flexport. We serve nonprofits, NGOs, and mission-driven organizations that need to move impactful cargo reliably, often into some of the hardest environments to reach. As humanitarian and development needs keep climbing, the supply chain expertise our partners can count on matters more than ever. You'll own some of Flexport.org's most complex and highest-impact partner relationships. Your accounts span multiple shipping modes and trade lanes: ocean, air, trucking, and customs, and demand real supply chain fluency to navigate well. You won't just manage these relationships, you'll shape them. You bring a strategic point of view to every partner engagement, lead business reviews that drive real decisions, and connect the dots across Flexport's full product suite to help partners do more with what they have. You'll operate with full autonomy, hold a high bar on program growth and retention, and become someone junior teammates turn to for guidance. You Will Own end-to-end success for a portfolio of complex, multi-modal Flexport.org partner accounts, including partners with significant program growth potential and

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. With over half a billion rides and counting, Lyft is solving hard problems in a flourishing domain with a lot of data and creative solutions in Marketplace, Mapping, Fraud, Growth and beyond. We're actively building the next-generation Machine Learning (ML) platform for low-cost, ultra-immersive transportation to improve people’s lives using modern ML with peta-byte scale data. Our Machine Learning Engineers are excited to work on these challenging problems and redefine solutions to directly impact various aspects of Lyft's primary business. If you are a student with experience in machine learning workflows, passionate about solving challenging problems using data and working in a dynamic, creative, and collaborative environment, this opportunity is for you! Responsibilities: Contribute to the design, build, train and test of Machine Learning models Write production-level code to convert ML models into working pipelines Partner with Product Managers, Data Scientists, and fellow ML Engineers to frame Machine Learning problems within the business context Analyze experimental and observational data, communicate findings to support decisions Participate in code and spec reviews to ensure code quality and distribute knowledge Experience: Currently pursuing a Bachelor's, Master's, or PhD degree in Computer Science or a related technical field from a university in Canada (required) , with a graduation date between December 2027 and Summer 2028 (required). For any candidates who are master's students who worked between their bachelor's and master's programs: candidates should also have less than 2 years of relevant full-time work experience Available during Summer 2027 for the internship in Toronto Good understanding and knowledge of ML libraries like scikit-learn, Tensorflow, PyTorch, Keras, MXNet, et

About Supabase Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. About the Role We're looking for an Engineering Manager to lead the Billing team at Supabase. Billing owns the monetization and revenue systems that turn platform usage into accurate customer charges and finance-ready revenue data. The team’s scope includes plans, subscriptions, usage-based billing, invoices, payments, credits, coupons, taxation, dunning, collections, pricing mechanics, entitlements, marketplace and partner billing paths, and integrations with providers such as Stripe and Orb. Billing sits at the intersection of engineering, product, finance, data, support, and partnerships. The systems are revenue-critical and trust-critical: they must remain correct, predictable, supportable, observable, and extensible as Supabase grows and introduces new products, pricing models, and partner channels. This is a people, delivery, and technical leadership role. We don’t expect managers to contribute production code directly, but we do expect you to participate in architecture and design discussions, challenge plans with sound technical reasoning, and set a high bar for correctness, reliability, and operational maturity. What You'll Be Responsible For Team & People Build a healthy, high-trust team culture in a remote-first, globally distributed environment. Run 1:1s, performance management, career development, and onboarding for your direct reports. Coach engineers working across backend application code, data pipelines, external integrations, and operational workflows. Build durable ownership across the team so critical billing knowledge, access, and incident response do not depend on one person. Handle people administration, including leave and time off, for your team. Hiring Own the hiri

About the Job: At LaunchDarkly, our Product-Led Growth (PLG) motion is evolving rapidly. We are looking for an experienced, highly analytical, and strategic Senior Growth Marketing Analyst to help us decode the digital body language of our prospects and users. In this role, you will leverage wide-ranging experience across GTM disciplines to help build, optimize, and scale our PLG engines. Reporting to the Principal Growth Marketer or Director of Growth Marketing, you will resolve complex data and operational issues requiring an in-depth evaluation of variable factors mapping user and account signals across channels, establishing the "next best action" for high-value leads, and optimizing conversion pathways. You will act with a high degree of independence to determine methods and procedures on new assignments, collaborating across Marketing, Product, RevOps, and Data engineering teams to drive function-impacting results. Responsibilities: Data & Signal Strategy Audit, track, and categorize 1st-party, 3rd-party (e.g., 6sense, GitHub), and product/marketing signals across target contacts and enterprise accounts. Evaluate variable factors and intangible data nuances to distinguish technical practitioner actions (e.g., SDK deployment) from broader enterprise intent (e.g., security evaluations). Partner cross-functionally with Data Engineering and RevOps to clean, enrich, and continuously source high-intent signal data. Feed signal combinations, recency, and frequency into predictive models to refine lead routing and account prioritization. Activation Strategy Use signal combinations to define the right "next best action" for accounts and individual users based on their segment, ICP fit, and stage (e.g., prospect vs. existing customer). Map and trigger appropriate activation responses ranging from personalized marketing content to white-glove outreach from Product Advocates or automated handoffs to SDRs and Enterprise AEs. Operational Motion & Cross-Functional In

Location - Hybrid This is a hybrid role based out of our San Francisco, Corporate Headquarter office, 3 days in the office, 2 days remote OR one of our Hub locations, Boston, MA or Raleigh, NC, which means you may be expected to work from a designated co-working space from time to time, and will otherwise work remotely from home, until such time as a dedicated office is established. About Us Sauce Labs is the world’s largest full-lifecycle, test automation platform, and the company behind Selenium. Trusted by 80% of the world’s top ten largest financial institutions and over 300,000 enterprise users, Sauce Labs provides the only AI platform capable of turning business intent into autonomous testing and quality assurance. With a proprietary dataset of 8.7 billion test runs, Sauce Labs empowers the Fortune 2000 to bridge the gap between AI-driven code generation and enterprise-grade software quality. Learn more at http://saucelabs.com . Release Assurance at the Speed of AI | Meet the new Sauce Labs The Role: The Senior Director, Growth is an AI-first revenue leader responsible for driving the macro growth strategy, enterprise pipeline generation, and cross-functional alignment of an intelligent, end-to-end pipeline engine. Reporting to the SVP of Marketing, this role bridges marketing strategy and sales execution —focusing on scaling our integrated Demand Generation and Sales Development (SDR) organization through modern, agentic AI frameworks. Rather than managing day-to-day tactical execution, you will focus on high-level channel architecture, budget optimization, sales leadership alignment, and scaling our marketing engine to maximize global pipeline output. Responsibilities: Pipeline Strategy & Executive Revenue Alignment Align with SVP, Marketing and Sales Leadership on global pipeline target setting, forecasting models, and macro growth strategy across inbound and outbound channels. Drive the strategy and adoption of an agentic AI rev

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. With over half a billion rides and counting, Lyft is solving hard problems in a flourishing domain with a lot of data and creative solutions in Marketplace, Mapping, Fraud, Growth and beyond. We're actively building the next-generation Machine Learning (ML) platform for low-cost, ultra-immersive transportation to improve people’s lives using modern ML with peta-byte scale data. Our Machine Learning Engineers are excited to work on these challenging problems and redefine solutions to directly impact various aspects of Lyft's primary business. If you are a student with experience in machine learning workflows, passionate about solving challenging problems using data and working in a dynamic, creative, and collaborative environment, this opportunity is for you! Responsibilities: Contribute to the design, build, train and test of Machine Learning models Write production-level code to convert ML models into working pipelines Partner with Product Managers, Data Scientists, and fellow ML Engineers to frame Machine Learning problems within the business context Analyze experimental and observational data, communicate findings to support decisions Participate in code and spec reviews to ensure code quality and distribute knowledge Experience: Currently pursuing a Bachelor's, Master's, or PhD degree in Computer Science or a related technical field from a university in Canada (required) , with a graduation date between December 2027 and Summer 2028 (required). For any candidates who are master's students who worked between their bachelor's and master's programs: candidates should also have less than 2 years of relevant full-time work experience Available during Summer 2027 for the internship in Toronto Good understanding and knowledge of ML libraries like scikit-learn, Tensorflow, PyTorch, Keras, MXNet, et

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. The Compliance team is responsible for ensuring Compliance at Plaid with all the laws and regulations that apply to us, as well as our internal policies. We help make sure Plaid stays within the bounds of our legal obligations, and partner with business stakeholders to build processes and systems to demonstrate our compliance. Role Description As a GTM Compliance Analyst, you’ll help Plaid evaluate and onboard customers in a way that supports growth while protecting the company from regulatory and compliance risk. You’ll review prospective and existing customer deals, assess customer business models and use cases, conduct risk-based diligence, and determine when additional conditions, approvals, or escalations are needed. You’ll work closely with Sales, Account Management, Legal, Product, and Customer Oversight to translate complex requirements into practical guidance and keep deals moving. You’ll also help build the playbooks, workflows, and reporting needed to make GTM compliance more consistent and scalable as Plaid expands into new products, customer segments, and regulated use cases. Responsibilities Review prospective and existing customer deals for regulatory, licensing, po

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. We are hiring a Senior Manager, People Business Partner to drive the design and execution of our talent strategy for our Go-To-Market (GTM) function, serving our global sales organization. This is a leadership role for an People strategist with deep, hands-on experience managing the full employee lifecycle for sales teams—from workforce planning and onboarding through performance management, development, and retention. You excel at orchestrating sales-centric organizational frameworks by partnering strategically with People & Culture Centers of Excellence across compensation, talent acquisition, benefits, and other People functions.You understand the unique dynamics of sales organizations, roles and compensation models, translate sales business strategy into integrated talent initiatives, and lead cross-functional execution that drives measurable revenue outcomes. You will partner closely with GTM and sales leadership to design talent systems, collaborate with People & Culture COEs and regional PBPs to ensure consistent program delivery and global alignment, and drive execution of impactful People solutions that support sales excellence, rep productivity, and revenue growth at scale. You will report to the Sr. Director of People Business Partnerships. This is a hybrid role requiring three days per week in our Bellevue, WA office. You Will: Partner with GTM leadership to support workforce planning and organizational design strategy, ensuring alignment to business objectives, revenue targets, and strategic prioriti