Design Manager Jobs

Senior GenAI Engineer Location: Orlando, FL | Practice Area: Technology & Engineering | Type: Permanent Build and scale cutting-edge generative AI solutions that drive real business impact The Role As part of Capco’s Technology Delivery Team, you will bring hands-on experience in agile delivery and engineering best practices to develop innovative AI-driven solutions. As a Senior GenAI Engineer, you will contribute across the full AI lifecycle—from experimentation and prototyping through to production deployment—helping deliver scalable, high-impact solutions for financial services clients. What You’ll Do Design and build applications using foundation models and modern GenAI techniques (e.g., RAG, agent-based workflows) Develop and experiment with autonomous or semi-autonomous agent frameworks Contribute to full-stack AI solutions, including backend services, APIs, and user-facing components Deploy and scale AI/ML solutions in cloud environments (AWS, Azure, or GCP) Collaborate with cross-functional teams and support knowledge sharing across the team What We’re Looking For Bachelor’s or Master’s degree in Computer Science, AI/ML, or a related field (or equivalent experience) ~5+ years of software engineering experience with exposure to AI/ML or data-driven applications Hands-on experience with LLMs or generative AI Strong Python skills and experience building scalable backend systems Experience working with cloud platforms and modern development practices Willingness to work in our office 3 days/week Bonus Points For Experience with GenAI concepts such as RAG, embeddings, vector databases, or agent-based systems Familiarity with MLOps/LLMOps tools and model lifecycle management Experience contributing to full-stack development across backend and frontend Interest in staying current with emerging AI trends and technologies Experience mentoring or supporting team development Why Join Capco Deliver high-impact technology solutions for Tier 1 financial institutions W

Position Overview We are seeking a highly analytical and data-driven Payment Reconciliation Specialist / Analyst to oversee our end-to-end financial reconciliation processes. In this role, you will be responsible for managing high-volume transaction datasets, tracking payment lifecycles, and ensuring absolute financial accuracy across internal systems, payment gateways, and banking partners. The ideal candidate bridges the gap between finance and technology—possessing strong core accounting fundamentals alongside advanced technical skills in SQL and Python to drive automation, eliminate manual workflows, and optimize payment processing costs. Key Responsibilities 1. Core Payment & Financial Reconciliation End-to-End Auditing: Validate transaction records across internal systems, payment gateways (PGs), banking partners, settlement files, and merchant reports. High-Volume Data Analysis: Analyze massive transaction datasets to promptly identify mismatches, pending settlements, duplicate transactions, and financial exceptions. Chargeback Management: Monitor disputed transactions, track the complete chargeback lifecycle, validate reversal entries, and ensure accurate accounting adjustments/recovery. Finance & Accounting Support: Validate transaction postings, track pending receivables, manage refund accounting, handle merchant payout reconciliation, and assist with balance sheet reconciliation. 2. Cost Optimization & Reporting PG Cost Analysis: Monitor and analyze Payment Gateway costs (MDR charges, transaction processing fees, bank charges, gateway settlement fees) to identify cost-optimization opportunities. MIS & Dashboards: Prepare daily, weekly, and monthly MIS reports and design reconciliation dashboards for leadership, finance, and operations teams to support audit readiness. 3. Data Engineering & Process Automation SQL Data Extraction: Write complex SQL queries for reconciliation checks, exception reporting, and data validation across large transactional da

Department: Revenue Operations Reports To: CRO Employment Type: Full-Time Work Location: Remote Travel Required: Minimal (<10%) Cross-Functional: Finance, Marketing, CS Role Summary The Sales Operations Director is a strategic and analytical role responsible for the operational backbone of the sales organization. This individual ensures that the sales team has the data, processes, systems, and compensation frameworks needed to perform effectively. They serve as a key partner across Sales, Finance, and Leadership — translating data into insights that drive revenue growth and operational excellence. Position Details Sales Metrics Reporting & Analytics Own the design and delivery of sales performance dashboards and reports Track key metrics such as pipeline health, win rates, deal size, sales cycle, and quota attainment Analyze performance trends and provide insights to leadership Standardize reporting definitions across teams Improve reporting automation and data accessibility Support ad hoc analysis requests from Sales and Finance leadership BDR (Business Development Representative) Management Manage, coach, and develop a team of BDRs Define and track performance metrics across outreach and pipeline generation Conduct regular performance reviews and team meetings Develop BDR playbooks including outreach strategies and handoff processes Partner with Marketing on targeting, campaign follow-up, and lead routing Support onboarding and ramp programs for new hires Monitor activity within CRM and sales engagement platforms Sales Compensation & Finance Coordination Support the design and administration of sales compensation plans Coordinate commission calculations and payouts with Finance Act as a point of contact for compensation-related questions Maintain documentation of compensation structures Analyze and model potential compensation plan changes Support tools such as Spiff, CaptivateIQ, or similar platforms Sales Reporting & Business Rev

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 Solution Architect, SKU Transformation & Master Data Management, you will architect the foundational enterprise data models that power fast, seamless product launches across Everpure™. In this role, you will bridge the gap between product innovation and operational execution, serving as the strategic architect for our Master Data Management (MDM) ecosystem. Collaborating closely with Product Management, Engineering, and Business Operations, you will design scalable frameworks that ensure total data integrity, streamline New Product Introductions (NPI), and drive business agility worldwide. WHAT YOU'LL DO Architect End-to-End Enterprise Data Models: Design and implement scalable Product Master and MDM architectures connecting ERP, CRM, PLM, and billing systems to enable seamless data flow and support dynamic, bundled product offerings. Lead SKU Transformation & Governance: Establish global data governance frameworks, validation rules, and stewardship workflows to rationalize legacy catalog items, mitigate operational risks (e.g., duplicates, inconsistent hierarchies), and maintain high-fidelity data integrity. Accelerate New Product Introductions (NPI): Partner cross-functionally with Engineering, Operations, and Product teams to build automated, repeatable onboarding workflows that bring new offerings from PLM to market faster and with zero system friction. Drive Measurable Business Impact: Establish

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. As Vanta's Lead People Business Partner for Post-Sales, you'll be the senior-most dedicated people partner to our SVP of Post-Sales and their leadership team across Account Management, Customer Success, and Support - acting as a trusted advisor and coach as we scale a world-class post-sales organization. This role is primarily focused on partnering with our Director+ leaders, though you may work with leaders at other levels as needs arise. Vanta's Post-Sales organization - spanning Account Management, Customer Success, and Support - is responsible for ensuring our customers realize ongoing value from Vanta, driving retention, expansion, and an excellent customer experience as we grow. In this role, you'll combine deep People Business Partner expertise with strong business acumen to help Post-Sales leaders build healthy, high-performing teams. You'll partner directly with leaders on org design, talent strategy, and change management, while also being hands-on with complex performance and employee relations matters - ensuring the function has the structure and support it needs to scale. What you’ll do as a Lead People Business Partner, Post Sales at Vanta: Serve as a trusted thought partner, consultant, and coach to the SVP of Post-Sales and their leaders across Account Management, Customer Success, and Support Serve as the primary point of contact for Director+ leaders across the global Post-Sales organization Lead headcount planning for the Post-Sales org in partnership with Finance, RevOps, and Recruiting - from business justification through execution Provide guidance and thought leadership on performance management, change m

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. Lyft is a global company that connects people to transportation to change the way we live and get around our communities. Our drivers and passengers entrust Lyft with their personal information and travel details to get where they are going and expect us to keep that data safe. Lyft's Privacy team is composed of engineers and analysts dedicated to ensuring appropriate data protections are applied to our drivers' and passengers' data. Our goal is to make privacy the default setting for our internal engineers and our customers. We help design architectures, build a scalable data platform, and define policies to reduce the exposure of user data and ensure appropriate privacy and security protections are applied across the company. We are looking for a highly motivated, collaborative, team-focused and technically strong Senior Software Engineer to join our Privacy team. As a member of this team, you will design and build systems that make privacy the default at Lyft. Every day, you'll partner with engineering, product, legal, and compliance stakeholders on high-impact projects — from building data redaction pipelines to enabling users to exercise their privacy rights to deploying data management systems across a diverse set of Lyft services. You'll bring strong engineering instincts, a passion for privacy, and the ability to lead large projects from idea to execution. Responsibilities: Design, build, and maintain systems that enhance privacy across the organization Independently lead large projects from idea to execution Advocate for user privacy throughout the organization, consulting engineering teams throughout the software development lifecycle and escalating potential privacy concerns Write well-crafted, well-tested, readable, and maintainable code Participate in code reviews to ensure code quality

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. Job Duties and Responsibilities: Own and deliver complex, cross-team quality initiatives end-to-end — from ambiguous problem definition through architecture, implementation, and production rollout with minimal oversight Lead technical design discussions and drive stakeholder alignment on test strategy, architecture, and quality standards across engineering, product, and design Generate original solutions to ambiguous or previously unsolved quality problems; use sound engineering judgment when there is no obvious answer Anticipate, communicate, and manage quality and release risk across team boundaries; make prioritization trade-offs in partnership with engineering leadership Champion CI/CD, observability, monitoring/alerting, and production-hygiene practices, and drive their adoption beyond your own team Guide new and existing engineers on execution of sub-tasks within larger quality initiatives; raise the bar on code review standards for reliability, performance, security, and maintainability Partner with Engineering, Product, Design, Support, and Field/CSM teams to identify recurring customer issues and drive systemic product and process improvements Respond to and help resolve critical production issues/customer escalations during on-call rotation, driving root-cause analysis Mentor engineers, contribute to hiring and interviewing, and help improve engineering culture across the team and adjacent teams Drive adoption of AI powered testing capabili

CSQ427R195 As a Staff FDE in our Professional Services team, you will partner with a diverse range of customers to tackle their big data challenges using the Databricks Platform. In this customer-focused role, you will act as a trusted advisor, delivering tailored solutions in data engineering and data science across multiple cloud environments, ensuring successful outcomes for our clients. You come with a strong product development mindset and deliver robust and scalable automation utilities that can be adopted by multiple customers across the domains. You bring in a strong AI focused problem solving skills yet secure and proven guardrails that can be leveraged by the customers across different sectors. The impact you will have: Collaborate on impactful customer big data projects, such as creating reference architectures, developing how-to guides, and building production-ready efficient, robust and scalable tools and technologies. Advise strategic customers on transformational big data initiatives, including third-party migrations and the complete design, build, and deployment of cutting-edge big data and AI applications. Provide expertise in architecture and design, and support key customer projects to ensure successful adoption and integration of Databricks solutions. Partner with Engineering and Customer Support teams to deliver feedback, resolve engagement-specific issues, and drive continuous product improvements. Simultaneously manage and guide multiple diverse projects, ensuring adherence to well-architected principles and quality standards, proactively identifying and mitigating risks, and building strong customer trust. What we look for: 15+ years experience with Big Data Technologies such as Apache Spark™, Kafka, Cloud Native and Data Lakes in a customer-facing post-sales, technical architecture or consulting role 6+ years of experience working on Big Data Architectures independently 2+ years of experience working on AI based implementations includi

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 the role We're looking for experienced engineers to build Anthropic's cache layer as a managed service from the ground up. The Caching team is part of the Databases organization and owns the systems that keep Anthropic's hottest paths fast and correct: a managed Redis fleet, client libraries used across the company, and CDC-driven cache invalidation that solves one of distributed systems' hardest problems the right way. This is a foundational role on a small team with outsized leverage. Every millisecond you take off a hot path is multiplied across every Claude request. You'll set the technical direction for caching at Anthropic, from the data plane to the developer experience, and you'll work closely with product and research teams to make caching something engineers get for free rather than something they have to think about. Key responsibilities Drive the technical direction for caching infrastructure used across Product and Research Design, build, and operate a managed Redis fleet that scales to support millions of users across Claude's product ecosystem Build client libraries and developer-facing abstractions that make correct caching the default for Anthropic engineers Design and operate CDC-driven cache invalidation that keeps cached data consistent with source-of-truth databases Architect caching solutions that operate across GCP, AWS, first-party deployments, and other environments Optimize latency, hit rates, reliability, and cost efficiency on Anthropic's hottest paths Build observability and tooling that makes cache behavior easy to understand and debug Partner with product and research teams to understand access pat

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. SAP SD/MM Analyst THE ROLE As an SAP SD Analyst at Everpure, you will design and optimize robust Order-to-Fulfillment (OTC) and supply chain solutions that power our global commercial operations. Collaborating with cross-functional finance, procurement, and IT engineering teams, you will turn complex business processes into highly scalable SAP systems. By integration-testing SD, MM, and Customer Service modules, you will directly accelerate order processing velocity and improve supply chain predictability. Your mission is to elevate system integrity and build a high-performing, seamless enterprise architecture for our global stakeholders. WHAT YOU'LL DO Order-to-Fulfillment System Design: Own the translation of business requirements into high-quality functional and technical specifications for SAP OTC, SD, and MM solutions, ensuring scalability, security, and alignment with industry standards. Cross-Functional Architecture Integration: Lead configuration and integration mapping across SD, MM, IM, and FI modules—including critical touchpoints with Customer Service (CS) and Service Management (SM)—to establish seamless data flows and unified business processes. Supply Chain Optimization & Analytics: Implement cutting-edge supply chain planning and optimization solutions, leveraging analytics dashboards (SAC) and Demand Planning frameworks to enhance inventory accuracy and operational transparency. Continuous System Healt

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. Data Science is at the heart of Lyft’s products and decision-making. Data Scientists at Lyft operate in dynamic environments, moving quickly to build the world’s best transportation solutions.We tackle a wide range of challenges - from shaping long-term business strategy with data, to making critical short-term decisions, to developing algorithms and models that power both internal systems and customer-facing products. Lyft Business builds products that help organizations move the people who matter most - employees, customers, patients, and guests - easily and efficiently. Our offerings include Business Travel, Lyft Pass, and Concierge (for healthcare and non-healthcare rides), enabling companies to manage transportation at scale through APIs, integrations (e.g., Concur, Expensify), and dedicated tools. These platforms power high-impact B2B use cases across corporate travel, healthcare access, customer experience, and community programs. We are seeking a Senior Data Scientist to lead technical initiatives across the entire Lyft Business product suite. In this role, you will shape the technical vision, define algorithmic roadmaps, and drive execution for data science projects that accelerate growth, improve operational efficiency, and deliver measurable value to our enterprise partners. You’ll collaborate closely with Product, Engineering, Design, and Go-to-Market teams to build production ML models, experimentation frameworks, and advanced analytics that inform strategy and power product innovation. This is a high-visibility, high-impact role with direct influence on Lyft’s enterprise offerings. The ideal candidate will bring deep expertise in algorithm development, machine learning, causal inference, and experimentation, alongside strong business acumen in B2B contexts and a proven track record of t

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. Data Science is at the heart of Lyft’s products and decision-making. Data Scientists at Lyft operate in dynamic environments, moving quickly to build the world’s best transportation solutions.We tackle a wide range of challenges - from shaping long-term business strategy with data, to making critical short-term decisions, to developing algorithms and models that power both internal systems and customer-facing products. Lyft Business builds products that help organizations move the people who matter most - employees, customers, patients, and guests - easily and efficiently. Our offerings include Business Travel, Lyft Pass, and Concierge (for healthcare and non-healthcare rides), enabling companies to manage transportation at scale through APIs, integrations (e.g., Concur, Expensify), and dedicated tools. These platforms power high-impact B2B use cases across corporate travel, healthcare access, customer experience, and community programs. We are seeking a Senior Data Scientist to lead technical initiatives across the entire Lyft Business product suite. In this role, you will shape the technical vision, define algorithmic roadmaps, and drive execution for data science projects that accelerate growth, improve operational efficiency, and deliver measurable value to our enterprise partners. You’ll collaborate closely with Product, Engineering, Design, and Go-to-Market teams to build production ML models, experimentation frameworks, and advanced analytics that inform strategy and power product innovation. This is a high-visibility, high-impact role with direct influence on Lyft’s enterprise offerings. The ideal candidate will bring deep expertise in algorithm development, machine learning, causal inference, and experimentation, alongside strong business acumen in B2B contexts and a proven track record of t

As Sigma scales its global footprint, the Sales Engineering (SE) organization is the technical engine driving our GTM motion. We are looking for a Strategy and Operations Lead, SE to partner directly with our VP of SE and serve as the operational bedrock for this critical organization. Operating within our broader GTM Strategy & Operations team, you will own the global operating rhythm, operational infrastructure, and capacity planning for the entire SE organization. You will drive strategy across a highly matrixed, global environment. You are part strategist, part builder, and part operator - responsible for ensuring our pre-sales motion scales seamlessly. What You Will Do Drive Business Reporting & the SE Operating Rhythm: Own the cadence of the SE organization. Design and execute regular business reviews and leverage Sigma to build robust, real-time reporting that gives the VP of SE crystal-clear visibility into technical pipeline health, team utilization, and conversion metrics. Optimize Funnel Mechanics & Deal Acceleration: Deep dive into the pre-sales funnel to identify where deals stall during technical validation. Partner with SE leadership to optimize the Proof of Concept (POC) lifecycle, remove friction, and accelerate the technical win. Lead Global Headcount & Capacity Planning: Serve as the SE representative in cross-functional GTM planning cycles. Own end-to-end global SE capacity requirements, design territory allocation frameworks, and manage annual headcount planning seamlessly across AMER, EMEA, and APAC. Build Solutions in Sigma: Leverage Sigma itself to build robust operational solutions, designing the dashboards, data models, and workflows needed for POC tracking, capacity management, and performance visibility. Act as the Cross-Functional Hub: Represent the SE organization in all major GTM Strategy & Operations initiatives. Serve as the connective tissue between SE, Sales, Product, and RevOps, ensuring SE requir

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 team: Management API , written in TypeScript , Nest.js and for other JavaScript technologies, is a central part of every product in the Supabase stack. It allows all Supabase services and Supabase Studio to communicate with each other, programmatically manage your own Supabase projects and organisations, as well as integrate with 3rd party services like Vercel , Resend , or Lovable . We are seeking someone to help us maintain the existing API, expand OAuth applications capabilities, enhance reliability, and improve the overall public API experience. You will: Design, implement, and maintain both internal and public-facing APIs used across various Supabase products, including Studio, CLI, management APIs, and OAuth applications. Integrate with third-party platforms and partners, either by developing custom integrations or providing clear API points for them to connect with Supabase. Collaborate closely with various teams across Supabase (DevOps, Frontend, etc.) to ensure smooth integration and implementation of API functionality for the rest of the platform. Build and enhance testing, debugging, and monitoring tools to ensure public APIs' stability, reliability, and performance. Work with the dev-workflows team to enhance and improve the Branching experience, making it easier and more valuable for Supabase users. You have: 5+ years of experience in backend API development, with strong expertise in TypeScript and JavaScript (Node.js) and familiarity with modern tools and frameworks (e.g., Nest.js, Express, Vitest, Zod). Expertise in designing robust, scalable, and maintainable APIs, and experience with API versioning, pagination, and error handling best practices. Experience with OAuth

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 FlashBlade team builds the industry’s most innovative, high-performance, and highly available portfolio of products that are designed for the most demanding mission critical applications. While we deliver a hardware storage array, over 90% of our engineering staff are software engineers. Our customers are the most important part of our business and they love FlashBlade for its simplicity of management, the constant flow of new and exciting upgrades, and ability to live on the cutting edge of technology while never taking downtime, ever. FlashBlade enables our customers to leverage the agility of the public cloud for both traditional IT and cloud-native applications. You’ll architect, implement, and optimize core services that span on-premises arrays and cloud deployments—delivering seamless storage experiences to enterprises around the globe. If you thrive on solving hard problems, influencing technical direction, and driving innovation end-to-end, this is the role for you. WHAT YOU'LL DO Manage the full software development life cycle, from initial architecture and invention through development, release, and ongoing maintenance. Drive the technical strategy by influencing system design, architecture, and best practices, specifically contributing to the evolution of the FlashBlade Networking product area. Invent and optimize algorithms to orchestrate multi-array and multi-cloud storage systems, foc