Surfaces Natural Stone Warehouse Associate Jobs

POSITION SUMMARY The Area Medical Director (AMD) is a senior physician leader embedded within a defined geography (Northeast, East, Central, or West) to serve as Natera's primary MD-to-MD clinical presence across the community oncology market. This role addresses the intersection of medical affairs, field execution, and scientific credibility — driving engagement with community oncologists, KOLs, and cross-functional field teams to accelerate appropriate utilization of Natera's oncology portfolio, including Signatera and Altera. The AMD owns regional medical strategy, leads cross-functional field partnerships, and operates with high autonomy to define and execute area priorities. The AMD functions without a defined playbook, translates business strategy into field-level action, and surfaces clinical intelligence that informs both commercial execution and development priorities. This is a 50% field-based role. PRIMARY RESPONSIBILITIES MD-Level Field Engagement ● Execute 12–18 MD-level engagements per quarter across defined geography, with at least 50% concentrated in top strategic community accounts. ● Maintain field presence of at least 4 ride days per month, prioritizing and overseeing area high-value and "platinum" accounts, including lost/down account retrieval. Responsible/accountable for oversight and coordination with these accounts with Associate AMD. ● Establish and maintain contact with the medical lead in the top 20 area accounts; engage 100% of flagged accounts within 10 business days. Cross-Functional Medical Leadership ● Serve as the primary MD triage point for escalated area medical inquiries, acknowledging at least 90% within 48 hours with 100% closed-loop documentation in Salesforce. ● Partner with MSL managers, Area Sales Directors, and Area Marketing Directors through structured bi-weekly and monthly cadences to align scientific messaging and commercial strategy. ● Participate in at least 75% o

About Meesho Meesho is India's fastest-growing internet commerce company, on a mission to democratize e-commerce for everyone. We serve millions of customers and over 1.75 million sellers through technology-driven innovation, building the scalable systems that power Meesho's most critical surfaces — Search, Recommendations, Personalized Ranking, Logistics, Fraud Detection, and Image Match. The AI Platform sits at the heart of this. It serves a peak of 1M+ real-time deep-learning model inferences per second on ordinary days, scaling 3x+ on sale days — with the reliability that scale demands. The team works at the frontier of applied AI and infrastructure — multi-region inference, novel embedding-search algorithms, and optimized open-weight LLM models — squeezing out every bit of computation and passing the cost savings straight back to customers. About the Role We are looking for an experienced Engineering Manager – AI Engineering to lead the development of scalable AI platforms and infrastructure while managing high-performing engineering teams. You will drive the design, delivery, and optimization of production-grade AI systems powering AI use cases across Meesho. What You'll Do Lead, mentor, and grow a team of AI engineers — setting technical direction, raising the engineering bar, and owning execution and delivery end to end. Architect and scale Meesho's AI platform: cross-region model inference, multi-GPU fleet allocation and management, distributed training, and feature-engineering infrastructure. Drive inference optimization across the full stack — GPU kernel tuning, quantization (including outlier/tail-distribution handling), and memory/IO-bandwidth optimization — while building agents that codify and delegate known optimization procedures. Optimize open-weight models at both the model and inference-engine level — distillation, quantization, speculative decoding, KV-cache and serving-engin

The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we're behind some of Spotify's most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you'll keep millions of users listening by making great recommendations to each and every one of them. Surfaces Moments is a ML team within the Personalization Mission focused on creating moment-based experiences across Spotify surfaces. The team owns and evolves the experiences that help listeners quickly connect with the content that matters most to them, including the Home Shortcuts experience and the underlying intelligence that powers it. By combining cutting-edge machine learning, recommendation systems, and product thinking, the team delivers highly relevant, personalized experiences to millions of listeners around the world. As a Staff Machine Learning Engineer, you will help shape the future of personalized discovery and engagement at Spotify. You'll work at the intersection of recommendation systems, large language models, and production-scale machine learning infrastructure to build experiences that delight users and drive meaningful impact. This role is ideal for someone who enjoys taking models from research to production, driving technical direction in ambiguous problem spaces, and solving complex personalization challenges at global scale. What You'll Do <li style="font-size: 11pt; font-family: Arial, san

About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the Role: Vercel is seeking a Presentation Designer to own presentation design end to end and help make every deck, from an intimate strategy meeting to a high-profile main-stage keynote, a sharp and compelling reflection of our brand and story. Presentations are one of the highest-leverage surfaces at Vercel. They are where executives communicate strategy, where product teams tell their stories, and where the company shows up in front of customers, partners, and the press. This role will own the full lifecycle of presentation design, from initial concept through storytelling, visual design, presentation systems, and final delivery across PowerPoint, Figma, Keynote, and Google Slides. Beyond designing individual presentations, this person will help build the systems, templates, components, guidelines, and workflows that allow presentation design to scale across Vercel. They may also partner with our Design Engineering team to explore and build internal tools that make it easier for teams to create high-quality, on-brand decks efficiently. You'll work closely with our Creative/Brand, Executive, Product Marketing, Communications, Events, and Design Engineering teams to turn complex technical concepts into visual narratives that resonate with any audience and raise the bar for presentation design across the company. This role is ideal for a designer who thinks about narrative and hierarchy as much as pixels, can balance high-touch creative work with scalable systems thinking, and knows how to build trust while working directly with senior execu

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, Washington D.C., London and Amsterdam. Plaid’s Consumer team owns all of Plaid’s consumer facing surfaces. This includes Link, Plaid’s flagship product, which has been used by over half of all US adults to share their information safely and securely with financial applications. Link drives the vast majority of Plaid’s revenue. We’re also working on some exciting, 0-1 consumer initiatives. Both areas are top business priorities. As part of Plaid’s first Consumer team, you will lead product development and execution within a startup-like environment at Plaid. Responsibilities Define an ambitious vision / roadmap, sign up for quarterly / half year goals, and partner with the cross-functional team to hit them Drive prioritization and execution (build, measure, iterate) Identify opportunities through consumer feedback and staying close to our data / dashboards Partner with cross-functional team (design, research, data science, legal, and compliance) to do all of the above Qualifications You have successfully launched large consumer facing features driving meaningful outcomes at B2C companies You start with the consumer problem and have held a high bar for consumer experience You naturally gravitate towards using data to make strategic decisio

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. About the Team The Apps & Experiences (AppEx) organization powers the unified user experience (Snowsight) for Snowflake. Every major Snowflake customer interacts with our platform through these surfaces, making AppEx central to both customer satisfaction and revenue growth. Within Appex, our team sits at the intersection of AI, platform, and user experience. We are on a mission to create an AI‑first, scalable, maintainable, and extensible platform to build all Snowflake user experience features. The team owns: The serving layer that powers Snowsight, Snowflake CoWork, and UX features Developer tooling that enable our engineers to move fast and deliver Frontend infrastructure and shared services for product teams CI pipelines that ensure fast and reliable builds Testing and validation platform that maintains code and product quality The monitoring and logging stack that ensures observability and trust What You Will Do As a software engineer on the team, you will play a central role in delivering the next generation of tools and evolve our developer infrastructure and tooling to be scalable, highly performant, and AI-first. Design and build AI-first platforms, tools, and best practices to significantly enhance the developer experience for Snowsight Drive strategy and init

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 We're looking for a Product Management to own and scale our UPI product charter — one of the largest and most consequential product surfaces in Indian fintech. This is a role for someone who is equal parts strategic operator and hands-on builder — someone who can set a multi-year vision for UPI and translate it into a roadmap that ships. We want someone who thinks in systems and platforms, is deeply fluent in consumer behavior and data, and is genuinely excited about applying modern AI — agents, LLMs, personalization, and automation — to solve payment problems at massive scale. You'll own outcomes across the full UPI stack: P2P and P2M payments, onboarding, mandates/AutoPay, payment success rates, fraud & risk experience, and next-gen AI-powered payment journeys — while partnering closely with Engineering, Data Science, Design, Risk, Compliance, NPCI/bank partnerships, and Business teams. Key Responsibilities -->Define the vision and multi-year strategy for Paytm's UPI product suite, and translate it into a roadmap that balances scale, reliability, growth, and innovation. -->Drive core UPI metrics — transaction success rate, activation, retention, P2P/P2M growth, and market share — with full ownership of the P&L levers that matter. -->Champion an AI-first product culture: identify where Generative AI, ML-based risk models, conversational interfaces, and intelligent automation can simplify journeys, improve payment success, reduce fraud, and cut operational load. -->Be the voice of the customer — using consumer research, funnel analytics, and cohort data to challenge assumptions and prioritize ruthless

About the Role Together AI's product is what developers touch every day — Playground, Model Garden, Fine-Tuning, File Management, Batch Processing, Model Evals. These surfaces are how users experience the platform, and they need to be fast, intuitive, and something developers genuinely love using. That's what this role is about. We're growing the Product Engineering team and looking for a fullstack engineer who's motivated by shipping things users genuinely value — not features that just look good in a slide deck. You'll plug directly into new and existing workstreams and start shipping quickly, working across our core product surfaces to improve existing capabilities and build new ones. This is a high-ownership role on a small, fast-moving team, where one strong engineer moves the needle visibly. You'll see your work in production, instrument and measure it, and use that to shape what comes next. Responsibilities Ship improvements and new capabilities across Together AI's core product surfaces — Playground, Model Garden, Fine-Tuning, File Management, Batch Processing, and Model Evals Own projects and features end-to-end, from data model and API integration through the user interface Collaborate closely with other engineers to build clean, typed, reusable interfaces in our web application Instrument and measure what you ship — add product analytics, monitor system health, and prove users are getting value with data Work across design, product, and engineering to ship things that unlock user value Raise the bar on frontend and fullstack quality across the team through code review and collaborative architecture decisions Requirements 4–7 years of experience building and shipping real product to real users Strong JavaScript/TypeScript fundamentals; TypeScript experience highly valued Strong React expertise in a large-scale, production environment Full-stack fluency: you connect the dots from data model to API design to state management to the UI, and know how to make t

About the Team GTM Growth Engineering builds AI-native products and systems that help OpenAI's go-to-market and B2B marketing organizations operate with greater speed, focus, and leverage. Our mandate is revenue leverage: products tied directly to pipeline quality, customer engagement, seller and marketer productivity, and the speed at which OpenAI can bring its technology to customers. We build the infrastructure and user experiences behind high-impact GTM workflows, including customer context, prioritization, routing, campaign execution, review surfaces, feedback loops, and measurement. Our work combines product craft, applied AI, reliable systems, and thoughtful operational design. About the Role We’re looking for a product-minded Software Engineer to build AI-powered products and full-stack experiences for GTM Growth Engineering. You will own meaningful product slices end to end, from user experience and frontend implementation to backend APIs, integrations, data models, instrumentation, and launch readiness. This is a role for engineers who want to build products that do real work in production. You will partner with Product, Design, Data Science, Sales, B2B Marketing, and operations teams to understand high-value workflows and ship systems that improve customer engagement, pipeline, conversion, and team productivity. The role is ideal for a strong product engineer who can move between product craft, systems engineering, applied AI, and measurable business outcomes. You should be excited to build from ambiguous problem statements, ship quickly, and improve products based on real user feedback. What You'll Do Build AI-powered products and workflows that help sales and B2B marketing teams identify opportunities, coordinate work, and engage customers more effectively. Own full-stack product experiences from prototype through launch, instrumentation, iteration, and production hardening. Design intuitive user journeys that combine polished interfaces, reliable servi

Supabase is the open-source Postgres development platform that 7M+ developers and thousands of enterprises depend on every day. 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 a Product Manager, Marketplace to join our Product Team to lead our marketplace and integration surfaces. The marketplace is the two-sided surface of the Supabase ecosystem. On one side, Partners and developers build integrations on top of Supabase primitives like Auth, Storage, and Edge Functions, then publish them for the world to use. On the other, our developers come to discover new capabilities and wire them into their projects without leaving their workflow. Done well, it is the shortest path between a developer with a problem and the exact capability that solves it. That surface is about to matter more than ever. As the number of capabilities explodes, and as agents begin to assemble software on a developer's behalf, the marketplace becomes the distribution and discovery layer for the whole ecosystem: how both developers and, increasingly, their agents find, trust, and compose what they need. This role owns it. What you'll be responsible for: Own the product strategy and roadmap for the marketplace, the two-sided surface where Partners and developers publish integrations and where Supabase's developer customers discover and install them. Make it effortless for a developer to find the right capability and integrate it. Own discovery, search, listings, and the whole path from install to working integration, so a new capability connects to Supabase primitives and runs inside a developer's project with minimal glue code. Make publishing an integration fast and rewarding, so Partners and developers bring their best work to the marketplace and keep it current, and so the catalog stays deep where developers need it. Set the quality

About the role Midjourney is an independent research lab exploring new mediums of thought and expanding the imaginative powers of the human species. We are a small, self-funded team focused on design, human infrastructure, and AI. We're looking for a senior product designer who's spent years building software. You'll design core product experiences across web and mobile, working directly with engineers and researchers from the earliest stages of a project through launch. What you'll do Own major product surfaces end-to-end: concept, flows, interaction, visual polish, ship Invent interaction paradigms for things that haven't existed before and make those new paradigms legible and fun Use research, experimentation, analytics, and user feedback to understand what people need and where products can improve. Prototype constantly, in Figma and in code — tools like Claude and Cursor should be part of your workflow Partner directly with engineering and research to refine interactions, iterate quickly, and ship high-quality work. You might be a fit if You've spent the last decade designing software people love to use. You're comfortable moving between interaction design, visual design, and product thinking. You enjoy working closely with engineers. You agree that good work often emerges out of many rounds of iteration. You explore wildly, are always ready to kill your darlings, and rework ideas until something clicks and feels correct. You'd rather prototype than make a presentation. Work > ego Logistics Full-time. Ideally San Francisco or New York, but PST/EST hours ok. Compensation: $200,000–$285,000 + benefits To apply A portfolio is required. We care much more about what you've made than where you've worked; if this sounds like you, apply even if you don't check every box.

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 Media is extending the value of Lyft's first-party rider data beyond our owned-and-operated surfaces. Through our Audience Solutions business, agencies and brands activate Lyft audiences across the open web, CTV, social, and DSPs — powered by one of the most distinctive mobility datasets in the US. We're hiring an Account Executive to grow this business across agency and holding company accounts. Responsibilities: Own a book of agency and holdco accounts — prospect, pitch, negotiate, and close data licensing and off-platform audience activation deals (Lyft audiences syndicated to DSPs, SSPs, and partner platforms — not Lyft-owned inventory) Build relationships across investment, planning, data strategy, and programmatic trading desks at major holdcos (GroupM, Omnicom Media Group, Publicis Media, IPG, Dentsu, Horizon, Stagwell, etc.) Hit and exceed quarterly revenue targets Translate Lyft's first-party mobility data into briefs that win RFPs — audience segments, geo/movement signals, and measurement use cases Partner with Account Management, Data Partnerships, and Product to ensure clean activation, attribution, and renewal Maintain accurate pipeline hygiene in Salesforce and forecast with discipline Experience: 3–5 years of digital media or data sales experience, with meaningful exposure to programmatic (PMP, PG, open exchange) and/or agency holdco accounts Track record of closing and growing agency business Comfortable with the alphabet soup: DSPs (DV360, TTD, Yahoo), SSPs, data clean rooms (LiveRamp, Habu, AWS), IDFA/MAID/postal-code targeting, MMM and incrementality conversations Strong written and verbal communication; can build a deck and run a meeting Hungry, organized, and coachable Preferred: Direct experience selling audience data, data licensing, or off-platform activation (ex-LiveRamp

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 As a Safeguards Enforcement Analyst on the user well-being team, you'll build and execute enforcement workflows that keep our products safe, with a focus on detecting and mitigating potential harm. Your initial focus will be on how Anthropic handles age. A core part of this work is making sure our consumer products reach the right audiences, including the detection signals, verification paths, and appeals workflows that keep underage users off surfaces not designed for them. Claude also reaches younger users through third-party developers building on our API, and you'll be the enforcement partner that sales and platform teams rely on when those customers need guidance on deploying age-appropriately. This position may expand into broader areas of user well-being enforcement over time. Safety is core to our mission, and you'll help shape policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way. Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. There is also an on-call responsibility across the Policy and Enforcement teams. Key responsibilities Design and architect automated enforcement systems and review workflows that scale effectively while maintaining high accuracy Partner with Engineering and Data Science teams to optimize detection models for policy violations and automated enforcement systems Review flagged content to drive enforcement and policy improvements Enforce usage policies wi

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 The Fraud Prevention team protects Anthropic's payment and monetization surfaces from financial abuse — keeping fraud losses, dispute rates, and network monitoring exposure in check while preserving a smooth experience for legitimate customers. As a software engineer on this team, you will build the systems that make risk decisions in real time, manage the dispute and chargeback lifecycle, and detect monetization abuse across subscriptions, in-app purchases, and promotions. The ideal candidate can see things from attackers' perspectives, anticipate their responses to countermeasures, and never loses sight of the fact that a false positive here is a paying customer. Payments fraud is more externally coupled than most trust and safety work — you'll collaborate closely with finance, support, and legal teams internally, and with payment processors and platform partners externally. Responsibilities: Design and build real-time risk decisioning that scores transactions at authorization time, balancing fraud loss, approval rates, and latency constraints Build tooling and automation for the dispute and chargeback lifecycle, from review queues to evidence collection and loss reporting Engineer fraud signals at scale — device fingerprinting, BIN and issuer signals, velocity features, and cross-account linkage — and detect monetization abuse across subscriptions, trials, promotions, and in-app purchases Own a portfolio of metrics — loss rate, dispute rate, authorization approval impact, and false-positive rate — rather than optimizing any single number Lead investigations into emerging fraud patterns, building multi-layered defense

About the role: As a Senior Product Manager, Clinician Experience you can expect to ship into production at major health systems, work at the AI frontier with real clinical constraints, and operate cross-functionally with engineering, ML, clinical, design, and partner-facing teams. What you will do: Clinician Experience You'll own the products clinicians use to review, act on, and trust what our AI produces: the tools that surface AI-gathered patient context, support clinical decision-making, and fit into workflows that are already overloaded. The clinician-facing product surface: intake summaries, AI-generated patient context, review/override workflows, and documentation support tooling The end-to-end encounter workflow, from AI-gathered context through clinical decision to documentation. Trust and explainability mechanics — how the AI surfaces its reasoning and how clinicians correct or override it Reduction of clinical workload: minutes saved per encounter, clicks removed, documentation burden reduced Work directly with practicing physicians (internal and health system partners) to validate that designed workflows reflect real clinical behavior Partner with clinical leadership on safety review and escalation protocol Engineering and AI/ML teams to translate clinical trust requirements into verifiable, implementable product behavior What we’re looking for: 4+ years of product management experience shipping consumer or B2B2C software; at least one product you owned end-to-end from ambiguity to launch Experience with AI/ML-powered products — you understand non-determinism, know why evals matter, and can reason about model behavior as a product surface Strong analytical fluency: you can pull your own data, define your own metrics, and won't wait for an analyst to tell you what's happening Exceptional written communication — your docs create alignment instead of requiring meetings to explain them Comfort operating in regulated, high-stakes environments Client-facing e