Frontier Ux Engineer Jobs

We are looking to speak to candidates who are based in Bengaluru for our hybrid working model. Why MongoDB is a fantastic place to work and build your career Be a part of the company that’s reinventing the database, focused on innovation and speed Enjoy a fun, inspiring culture that is engineering focused Work with talented people around the globe Learn, contribute, and make an impact on the product and community Cool things you’ll do Our Cloud Associate TSE 1’s form the front line of our cloud support team, directly responding to questions from our customers on areas such as connectivity, the availability of the Atlas service and questions about the UI or platform features. You will also be working with our engineering teams to escalate more complex customer problems. It's crucial that you ensure that questions are answered quickly and accurately and that our customers get the help they need, regardless of who provides the answers in the end. Our team combines their MongoDB expertise with passion, initiative, teamwork and a great sense of humour to help our customers to be successful with MongoDB around the globe. If you’re passionate about the opportunity to get comfortable working with the cloud every single day and be part of a team that works at the frontier of SaaS services and database systems, this is the role for you. Responsibilities Associate TSE 1’s will be successful in this role when they can execute the following strategic tasks/responsibilities Customer Service: Provide an unparalleled customer experience Investigate customer’s technical issues to find solutions, discover and report bugs Review and test new features before they are publicly available Following the successful completion of the probationary period, the candidate ​may be required to work a Tuesday-to-Saturday schedule, with Sundays and Mondays designated as weekly days off. What we’re looking for We consider all candidates with an eye for those who are self taught, curious, and multi-fa

About Ema Ema builds AI Employees for HR, IT and Finance. Our AI Employees take on the busy work across the employee experience, from recruiting, onboarding and benefits to IT support, invoice processing and payroll, so people can spend their time on work that needs them. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Creaegis, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production. We ship real systems that run real business processes at scale. Who we are Ema is building the next generation AI technology to empower every employee in the enterprise to be their most creative and productive. Our proprietary tech allows enterprises to delegate most repetitive tasks to Ema, the AI employee. We are founded by ex-Google, Coinbase, Okta executives and serial entrepreneurs. We’ve raised capital from notable investors such as Accel Partners, Naspers, Section32 and a host of prominent Silicon Valley Angels including Sheryl Sandberg (Facebook/Google), Divesh Makan (Iconiq Capital), Jerry Yang (Yahoo), Dustin Moskovitz (Facebook/Asana), David Baszucki (Roblox CEO) and Gokul Rajaram (Doordash, Square, Google). Our team is a powerhouse of talent, comprising engineers from leading tech companies like Google, Microsoft Research, Facebook, Square/Block, and Coinbase. All our team members hail from top-tier educational institutions such as Stanford, MIT, UC Berkeley, CMU and Indian Institute of Technology. We’re well funded by the top investors and angels in the world. Ema is based in Silicon Valley and Bangalore, India. This will be a hybrid role where we expect employees to work from office three days a week. Who

Our Mission You call. You wait. You call again. In every other part of your life, you book in seconds. In healthcare, you’re blocked. We’re here to give power to the patient. For nearly 20 years, we’ve built the leading healthcare marketplace - helping tens of millions of people find and book the care they need. Now, we’re going further: building our infrastructure beyond Zocdoc’s marketplace to power access to care wherever patients search, from provider websites and insurance directories to search engines, AI platforms, and more. Healthcare still lacks something every other major consumer industry takes for granted: a seamless way to go from seeking to getting . We don’t want to own the front door to care; there isn't one. We want to make sure all of those doors open when patients are knocking. Fixing healthcare starts with fixing access to it. And we're still just getting started. Your Impact on our Mission Zocdoc's most important asset is our people. As Director, Marketing Data Science, you'll own the measurement strategy that determines how Zocdoc invests in reaching patients and providers. Your work will directly shape how we allocate marketing resources across B2C patient acquisition, B2B provider marketing, lifecycle, and brand — ensuring every dollar drives measurable impact on our mission to give power to the patient. This is a greenfield opportunity. You'll define what a rigorous, unified marketing measurement function looks like at Zocdoc — then build it. You'll enjoy this role if you are… Personally motivated by solving hard measurement problems where the right answer requires building new methods, not just applying existing ones. The kind of data scientist who builds models, not just reviews them. You want to be hands-on with MMM, MTA, and incrementality testing — not managing from a distance. Genuinely curious about the frontier of marketing measurement. You follow how the field is evolving (privacy changes, signal loss, new c

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world's biggest financial problems. We're looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn't a place for complacency, it's where ambitious people do the best work of their careers. We're a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Capacity & Efficiency Engineering team builds the software that manages, governs, and reduces Robinhood's AWS cloud spend, operating at the intersection of cloud infrastructure, data engineering, and FinOps. The team owns the full lifecycle of cloud cost: the data platforms that make spend transparent and attributable, the anomaly detection and forecasting systems that make it predictable, the automation that continuously rightsizes infrastructure at fleet scale, and the capacity planning and commitment strategy that keep a bursty, latency-sensitive trading platform both reliable and cost-effective. Our work carries CEO-level visibility and has already driven millions of dollars in annualized savings. We partner closely with Data Science, Infrastructure, Finance, and product

We’re on a mission to build the world’s first AI Development Infrastructure: software that enables enterprises to safely evolve from today’s AI assistants to tomorrow’s autonomous workflows, all while maintaining full visibility and control. We’re creating a new category, and we need a Product Marketing leader to help define it. You’ll shape and scale Coder’s story across every touchpoint, building thought leadership, deepening our enterprise presence, and influencing how the world thinks about AI development. You’ll define the vision and strategy for the team, working across the company to drive clarity, alignment, and growth, and position Product Marketing as a force multiplier for our business. This role is perfect for a player-coach: someone who can translate complex technology into clear, credible stories, lead insightful analyst conversations, and dive deep into customer segmentation - all in a day’s work. What you’ll do here Evaluate, refine, and validate Coder’s messaging and positioning to explain how we fit into enterprise AI transformations. Build clear, visual frameworks that communicate complex design choices and product architecture to technical decision-makers. Drive alignment and consistency across internal teams and customer touchpoints through continuous iteration. Partner with Sales, Customer Solutions, and Product to identify and operationalize emerging use cases for Coder at the frontier of agentic development. Grow the Product Marketing team while providing strategic guidance on scaling thought leadership, developer relations, and enablement to create cohesive marketing to our ICP. Drive a unified technical content strategy with Marketing, Product, and Customer Solutions that connects product truth to customer needs and market opportunities, strengthening Coder’s technical credibility. What we’re looking for 10+ years of relevant experience, with 3+ years in a leadership/management role Action‑oriented; execute autonomously in fast-changing env

Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? As Fin becomes mission-critical for our most strategic customers, we’re growing a team of Forward Deployed Engineers to help bridge the gap between customer needs and product innovation. These roles can be based out of our San Francisco or Chicago offices. As a Forward Deployed Engineer, you’ll work hands-on with strategic customers, partnering closely with our R&D and Go-to-Market teams to design and deliver high-impact solutions. You’ll go beyond implementation - helping shape product direction, influence roadmap decisions and ensure Fin delivers real, measurable business outcomes in complex, real-world environments. If you’re excited by ownership, creativity and solving ambiguous problems, and want to work at the frontier of applied AI while collaborating with Product, Engineering

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Stripe is looking for an outstanding transactional lawyer to join our commercial legal team supporting our fast-growing business in EMEA. We are committed to building an inclusive work environment where all Stripes feel welcomed as their authentic selves—inclusive of all genders, sexual orientations, ethnicities, races, education, ages, and other personal characteristics. We work on broadening our internal diversity because we want to be culturally equipped to build products and solutions for our diverse user base. What you'll do As a core member of our Commercial Legal team, you'll have the opportunity to build strategic relationships with regional sales leaders. You'll act as a force multiplier, directly influencing the growth of Stripe's business in EMEA. We trust you to exercise independent judgement and encourage you to bring forward ideas for scaling and streamlining our contracting process. You'll have the opportunity to develop your legal knowledge and technical skills working at the frontier of payments and fintech innovation. Responsibilities Support the EMEA sales team, leading negotiations and advising on a wide range of commercial and legal issues Be an integral part of the build out of Stripe's commercial legal infrastructure so that we can scale and operate efficiently at pace with Stripe's exponential growth—this work includes drafting and maintaining Stripe's agreements and playbooks, leading and contributing to projects to

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 our Cloud Hyperscaler Readiness Lead, you’ll build scalable programs to set our cloud partners (AWS, Google Cloud, and Microsoft Azure) up for success. You will support the global sales teams across our cloud partners with content, training, and programming, working closely with Anthropic’s Product Marketing,Partner Enablement, and Cloud Partnership teams. Your job is to develop and curate the right material on a rapid cadence, and to tailor content for each audience, ensuring that the messages, formats, and channels each cloud uses to upskill their sellers and solutions architects can position and deploy Claude with confidence. You’ll stay close to our GTM teams, using what our co-sellers are hearing in the field to sharpen what you build and how it lands. This role is the connective tissue that helps diverse audiences across all our cloud partners understand not just what Claude does but also why it matters to the customers they serve. Responsibilities Land our mission and differentiation. You'll make sure Anthropic's mission and our approach to safe, responsible frontier AI show up accurately and consistently wherever cloud sellers encounter us, so the case for Anthropic as the enterprise's trusted AI partner is clear. When positioning changes, you'll get the update into the right channels quickly and retire what's out of date. Ensure internal and external readiness. You'll shape our certifications and scaled training for the way each cloud learns and upskills its people. You won’t simply rinse-and-repeat known patterns; instead, you’ll shape programs that fit each provider's world and map to how its

About Ema Ema builds AI Employees for HR, IT and Finance. Our AI Employees take on the busy work across the employee experience, from recruiting, onboarding and benefits to IT support, invoice processing and payroll, so people can spend their time on work that needs them. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Creaegis, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production. We ship real systems that run real business processes at scale. Join Ema Unlimited, a pioneering company at the forefront of Generative AI technology. We are seeking a talented Product Designer to contribute to the development of Ema, our Universal AI Employee. In this role, you will design user experiences that simplify complex workflows and enhance productivity for enterprises globally. About Ema Ema is building the next generation AI technology to empower every employee in the enterprise to be their most creative and productive. Our proprietary tech allows enterprises to delegate most repetitive tasks to Ema, the AI employee. We are founded by ex-Google, Coinbase, Okta executives and serial entrepreneurs. We’ve raised capital from notable investors such as Accel Partners, Naspers, Section32 and a host of prominent Silicon Valley Angels including Sheryl Sandberg (Facebook/Google), Divesh Makan (Iconiq Capital), Jerry Yang (Yahoo), Dustin Moskovitz (Facebook/Asana), David Baszucki (Roblox CEO) and Gokul Rajaram (Doordash, Square, Google). Our team is a powerhouse of talent, comprising engineers from leading tech companies like Google, Microsoft Research, Facebook, Square/Block, and Coinbase. All our team members hail

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 GTM Systems builds and runs the platform that Sales and contracting operate on. These are production systems that process real transactions and produce the data the rest of the company depends on, and the team has grown into a scope where the engineering practices need to grow with it. The platform-developer model got us here. The next stage is a team that operates as software engineers on top of it. We are hiring a technical lead to build that next stage. You will design and stand up the engineering motions the team runs on, from pull requests and CI/CD through automated UAT, and you will set the technical bar by working alongside the team rather than legislating from the side. Anthropic is also an unusual place to do this work: our own frontier models are part of your toolkit, the team already uses them daily, and a real part of this role is turning that individual usage into a coordinated engineering practice. Key responsibilities Lead architecture reviews for GTM systems that process lead-to-cash transactions and generate the data points the organization runs on, including changes originating in other teams that land on our platform Architect and mature the engineering pipeline the team develops against: pull request workflow, CI/CD, automated UAT, and the deploy path from source control to production Establish shared AI-assisted development standards for the team, converting existing individual usage into consistent practice that holds up under review Work with engineering teams outside GTM on shared architectural problems and common tooling, where the right answer is a platform decision rather than a local one Bui

Skeletons, lasers, tattoo buses — the Torq brand grabs attention like nothing else in cybersecurity. And we're growing like crazy, backed by Series D funding, 200% employee growth, and 300% revenue growth. Fueling Torq's momentum is our game-changing AI SOC platform, backed by a team and culture that makes Torq one of Forbes' Best Startup Employers in America, and a Business Insider 'startup to bet your career on'. Life at Torq is all gas, no brakes. We're a team of relentless, collaborative go-getters pushing the boundaries of what's possible for security automation. Every role is an essential driver of Torq's success as the AI-native autonomous SecOps platform of choice for security teams across the Fortune 500. We are looking for an experienced Senior Product Manager to own Torq's Builder Experience domain - a core part of how security teams design, build, and deploy automations. As AI fundamentally changes how security operations work, this role sits at the center of that shift. This role requires genuine product craft - the ability to see what security teams actually struggle with and shape tools that feel intuitive and powerful - alongside frontier AI product thinking: defining how a conversational AI should behave, where its limits are, how it earns trust, and how it sharpens with every interaction. What You’ll Be Doing Own the end-to-end builder experience - from understanding where security teams get stuck to shipping flows that feel intuitive and powerful Care about how the product looks and feels. Partner closely with Design to turn ambiguity into clear, usable flows Drive our conversational AI product forward as a first-class part of the platform Own how we evaluate the AI experience: define what "good" means, how we measure quality, and how we improve it continuously Perform customer research and hands-on deep-dives to understand how people build and where they get stuck Analyze usage patterns and feedback to spot signal and translate it int

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. Snowflake is built on a culture of impact and innovation. We are looking for a Solution Engineer who is ready to solve complex data challenges and help enterprises realize the full potential of the AI Data Cloud . In this role, you will partner with account teams to understand customer needs, strategize on technical evaluations, and demonstrate why Snowflake is the premier platform for the AI and data frontier. The Role Present & Vision-Set: Deliver Snowflake’s technology story to everyone from technical contributors to C-suite executives. Hands-on Proof: Conduct deep-dive demos and Proofs of Concept (POCs) that translate features into tangible business value. Healthy Consumption: Act as a trusted advisor to ensure customers are using Snowflake efficiently and effectively, driving long-term value and sustainable growth. Strategic Partnership: Collaborate with Solution Engineers , Product, and Engineering teams to drive technical wins and refine our product roadmap. Market Mastery: Stay at the cutting edge of the industry, positioning Snowflake effectively against competitive and complementary technologies. What We Are Looking For Although it is a huge plus, we don’t require prior Solution Engineering experience for this level of role. Instead, we are looking for the rig

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. 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. The Role Snowflake's Frontier Engineering (FE) Operations organization is seeking a Director/Sr. Manager, Business Planning & GTM to design the operating and financial architecture of the business. Rather than operating in team-aligned silos, this function aligns to the entire business, specializing in a unique swimlane with a deep cross-functional mindset and flow. In short: this team designs the business — think architecture. Reporting to the Sr. Director, Global FE Operations, you will own the planning frameworks, operating model, and analytics foundation that the rest of the operations organization and the FE business run on. You will translate revenue and delivery ambitions into capa

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Team Read more about the research team's work here: https://decagon.ai/blog/introducing-decagon-labs The Research team develops the model and decision-making stack that powers Decagon’s conversational agents for enterprise support. We research, adapt, and implement state-of-the-art techniques in model training, prompting, orchestration, and evaluation in order to make our agents more accurate, robust, and efficient in real-world deployments. Our goal is to push the frontier of applied conversational AI: agents that reliably understand nuanced intent, track long context, and take the right actions under uncertainty. We measure success the way customers feel it: higher resolution rates, better user satisfaction, and consistent behavior at scale. About the Role As a Research Engineer, you’ll be responsible for building industry-leading conversational AI models that power Decagon’s agent, and taking them all the way from idea to production. You’ll own multi-quarter initiatives that push the a

Human Data Quality Engineer (Founding Team) Prolific Prolific isn’t just enabling AI innovation – we’re redefining it. While foundational AI technologies are becoming commoditized, Prolific’s human data infrastructure provides the high-quality, diverse data required to train the next generation of AI models. Through our platform, we empower researchers and companies to access a global, ethically curated participant base, ensuring cutting-edge AI research and training grounded in inclusivity and precision. The Role As one of the founding members of Prolific's newly formed AI Data Services team, you'll help build the quality systems behind some of the world's most advanced AI models. Data quality is a strategic priority for Prolific, so this is a high-visibility role with direct exposure to senior stakeholders. This isn't a traditional QA role. We are not looking for someone to review data against a predefined checklist. We are looking for an innovative thinker that can leverage their expertise to define what good means where no definition exists yet. Acting as a strategic thought partner, you’ll work at the intersection of human data, machine learning, evaluation across frontier use-cases that define what high-quality human data looks like for the next generation of advanced AI. This means that much of the work involves novel problems with no established answer, so you’ll be comfortable working through ambiguity.. . Your primary focus is working directly with clients and alongside frontier AI labs, translating what their models need into robust human data and evaluation strategies. Rather than checking quality at the end of a project, you'll engineer quality into every stage of the lifecycle, from study design and participant strategy through to evaluation, launch readiness and client delivery.You will also work alongside our product engineering, and supply teams to define and build the quality infrastructure that will enable us to deliver h