Full Stack Developer C Specialist Consultant in United States

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. 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, 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. In this role, You Will: Design, develop, and implement exceptional user interfaces for web applications using modern web technologies such as HTML, CSS, and JavaScript. Collaborate closely with product managers, UX designers, and other stakeholders to gather requirements, own the user experience, develop wireframes, and create high-fidelity prototypes. Develop and maintain API integrations, ensuring seamless communication between front-end and back-end systems using React and gRPC. Contribute to back-end development with a focus on creating robust APIs and ensuring smooth communication between the front-end and server using technologies like Node.js or Python. Build, test, and deploy full-stack web applications using React and gRPC, while ensuring responsiveness, performance, and scalability. Optimize web applications for performance, accessibility, and SEO best practices. Troubleshoot and resolve UI and back-end related issues, ensuring a consistent and optimal user experience across multiple platforms and devices. Write clean, maintainable, and well-documented code adhering to established coding standards, and deploy/debug using platforms like Vercel. Ideally You'd Have: Bachelor

About the Team OpenAI’s Hardware organization develops system and infrastructure solutions tailored to the demands of advanced AI workloads. We work across the full stack—from silicon to system integration—partnering closely with internal teams and external vendors to define and deliver next-generation AI infrastructure. Our team focuses on defining scalable, high-performance system architectures and reference designs that balance performance, cost, and operational efficiency across rapidly evolving technologies. About the Role We are seeking a 3P Architect to define and drive rack- and cluster-level reference designs in collaboration with external partners. This role is responsible for translating workload requirements and system-level goals into concrete architectures, aligning partners on critical design attributes, and ensuring vendor roadmaps meet our infrastructure needs. You will work closely with performance modeling and internal architecture teams to evaluate tradeoffs, while owning the end-to-end definition and execution of third-party system designs. This includes identifying gaps in current technologies, driving vendor development, and shaping future infrastructure capabilities. This role requires strong system intuition, cross-functional leadership, and the ability to operate effectively across internal teams and external ecosystems. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance. Key Responsibilities Define rack- and cluster-level reference architectures for AI infrastructure deployments. Translate workload requirements into clear system design specifications and partner deliverables. Collaborate with performance modeling teams to evaluate architectural tradeoffs and system behaviors. Align internal stakeholders and external partners on critical system attributes (performance, cost, power, reliability, scalability). Identify gaps in current technology offerings and dr

About Stitch Fix, Inc. Stitch Fix (NASDAQ: SFIX) Stitch Fix is redefining retail by combining human creativity with advanced data science and Generative AI. As we build the future of personalized shopping, we’re equally committed to building yours. We believe in investing in our team as much as our technology. Join us to be a trendsetter in the industry and help us redefine what’s possible for our clients, while we help you reach your full potential. About the Role As an ML Platform Engineer at Stitch Fix, you will play a key role in building and maintaining the critical infrastructure that powers machine learning and AI across our organization. You will design, develop, and support scalable, resilient services and frameworks for ML model training and deployment, feature engineering and serving, candidate generation, AI agent deployment and observability, and other core platform capabilities. In this role, you'll contribute to the day-to-day operations of the ML Platform team, ensuring the smooth functioning of existing systems while driving improvements. You’ll collaborate closely with full-stack data scientists, offering consultation and support to help them unlock the full potential of our platform. With significant autonomy, you’ll have the opportunity to shape the future of ML and AI at Stitch Fix. Your ideas and expertise will drive improvements, codify best practices, and influence how we approach machine learning and AI systems at scale. Responsibilities: Collaborate with cross-functional teams, including data scientists, engineers, and business partners, to solve complex distributed systems and business challenges at scale. Be part of a team with high visibility across the organization, driving impactful solutions that make a difference. Share your ideas and help guide the team’s investments toward high-value opportunities. Foster a culture of technical collaboration and contribute to the development of scalable, resilient systems. About You You bring

We are the Experimentation team at Datadog, a startup operating inside one of the fastest-growing companies in software. The team brings together engineers who joined through Datadog’s May 2025 acquisition of Eppo with engineers from across Datadog, and together we are building feature flagging and experimentation into the platform. Both products were recently launched this year, and we are just getting started: we are migrating customers from Eppo onto Datadog while shipping an ambitious roadmap across both flagging and experimentation. Our statistics engineers hold PhDs and are pushing the boundaries of what an experimentation platform can do. Our full-stack engineers move fast, lean on the latest AI tooling, and prototype and ship new features weekly. We talk to customers directly to shape requirements, and our roadmap is driven by our own product vision and sharpened by real customer and sales input. We are looking for an Engineering Manager to lead the team building the Experimentation App. You will own one to two squads to start, partnering closely with our engineers, statisticians, product managers, and designers to turn a deep roadmap into a shipped product. To conform to US export control regulations, candidates should be eligible for any required authorizations from the US government. What You’ll Do: Lead, mentor, and grow a team of strong full-stack and frontend engineers. Help them grow to the next level and continuously provide them opportunities to develop. Own delivery for the Experimentation App from planning through production, balancing speed with quality in a fast-paced environment. Set technical direction in partnership with your team and our statistics engineers, engaging credibly on architecture and tradeoffs. Partner with Product, Design, and customers directly to shape requirements and turn customer and sales input into roadmap. Foster a culture of fast iteration and high engineering standards through code reviews, design reviews, and blamele

About the Team ChatGPT is evolving from answering questions to becoming a deeply personalized assistant that helps people discover, create, and make decisions across everyday life. We're building new multimodal product experiences that combine language, images, personalization, and interactive interfaces to help millions of users accomplish tasks in entirely new ways. This team sits at the intersection of AI research, product engineering, design, and consumer experiences. We move quickly, ship frequently, and work on products that define how people interact with AI every day. About the Role We're looking for exceptional full stack product engineers who love building polished consumer experiences from the ground up. You'll work across frontend, backend, AI-powered workflows, and rich interactive interfaces to create new product experiences that blend conversation, visual understanding, personalization, and commerce. You'll collaborate closely with designers, researchers, product managers, and model teams to rapidly prototype, launch, and iterate on experiences used by millions of people. This is an opportunity to help invent entirely new interaction paradigms—not just build traditional web applications. In This Role, You Will Design and build end-to-end product experiences across web services, APIs, and modern frontend applications. Partner closely with product, design, and research to rapidly prototype and launch new AI-native experiences. Build intuitive, performant interfaces that make advanced AI capabilities feel simple and delightful. Develop scalable backend systems that power personalized, real-time product experiences. Work with multimodal capabilities including text, images, and interactive UI components. Iterate quickly using user feedback, experimentation, and product metrics. Help define engineering standards, architecture, and technical direction for a fast-growing product area. You Might Thrive If You Have significant experience building consumer-facin

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. Our business has found incredible product-market fit and has monetized effectively since the day we signed our first customer. We're growing at a blistering pace, which presents career-defining opportunities for engineers to accelerate their growth and to contribute to a rapidly-scaling company. We are hiring Senior Fullstack Product Engineers (React, Typescript, Node, GraphQL & MongoDB) to build emerging products and to contribute to efforts to build features used across our Product Platform; applications through this link put you into consideration for the following teams: Expansion: This team focuses on the full post-activation lifecycle—driving retention, expansion, and revenue automation across the product. You’ll build the core systems that power Vanta’s purchasing, trial, and renewal experiences for existing clients. This includes creating seamless checkout flows, self-serve upgrade paths, and intuitive renewal pages, as well as integrating with our evolving billing infrastructure. You’ll also develop the platform that enables “try before you buy” experiences across Vanta, giving prospects hands-on access and empowering other product teams to plug into a unified trials framework. Activation: Responsible for rethinking the downmarket audit experience in the AI era . We leverage applied AI to automate and personalize the customer journey — reducing the time and effort it takes for customers to reach their compliance goals. Rather than optimizing for engagement alone, we focus on driving real outcomes: getting customers audit-ready, faster. Our work spans the full stack, requires deep leveraging of AI, and cuts across t

What we're building Mutiny is the self-improving AI infrastructure for GTM teams to execute faster and close more revenue. Our ambition is to do for revenue velocity what Cursor and Claude Code did for engineering velocity. With Mutiny, everyone in sales and marketing gets a bench of GTM athletes that handle any work across their revenue motion and learn from what's actually moved their deals. In April we re-launched the product as an agent-first platform. Anthropic showcased us as a leader in AI GTM. MRR is growing more than 70% month-over-month, with customers like Uber, Rippling, and Snowflake. We're backed by Sequoia, YC, and Insight, and we're building a generational company. The opportunity Most sales leaders inherit a playbook. You'll write one. As a founding first sales manager, you'll partner with the founders, own the number end-to-end from first conversation to expansion, and use AI and our own product to build a team of full-stack sellers that outsells teams 5x their size. What works for our team becomes what works for every sales team running on Mutiny. The calls you make on hiring, motion, and product feedback will shape the company well beyond the sales org. This role is in person in New York City, five days a week. What you'll own Revenue. Sales-led revenue, end-to-end. Pipeline, conversion, ARR, retention, and expansion. The number is yours. PLG to enterprise. Define qualification, build the enterprise pipeline, and turn self-serve signups at companies like Rippling, Uber, Snowflake, Zendesk, and Gusto into seven-figure deals. Outbound. Generate net new meetings with the hottest AI companies and enterprises in the market. Build the motion, run it yourself first, then teach it. The team. Hire, coach, and develop a team of Account Executives into top performers. The ceiling on revenue is the ceiling on the team you build. The playbook. Write the sales motion that becomes the default for every team running on Mutiny. What works here ships to thousands

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why This Role Is Different This is not a typical “Applied Scientist” or “ML Engineer” role. As a Member of Technical Staff, Applied ML, you will: Work directly with enterprise customers on problems that push LLMs to their limits. You’ll rapidly understand customer domains, design custom LLM solutions, and deliver production-ready models that solve high-value, real-world problems. Train and customize frontier models — not just use APIs. You’ll leverage Cohere’s full stack: CPT, post-training, retrieval + agent integrations, model evaluations, and SOTA modeling techniques. Influence the capabilities of Cohere’s foundation models. Techniques, datasets, evaluations, and insights you develop for customers will directly shape the next generation of Cohere’s frontier models. Operate with an early-startup level of ownership inside a frontier-model company. This role combines the breadth of an early-stage CTO with the infrastructure and scale of a deep-learning lab. Wear multiple hats, set a high technical bar, and define what Applied ML at Cohere becomes. Few roles in the industry combine application, research, customer-facing engineeri

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why This Role Is Different This is not a typical “Applied Scientist” or “ML Engineer” role. As a Member of Technical Staff, Applied ML, you will: Work directly with enterprise customers on problems that push LLMs to their limits. You’ll rapidly understand customer domains, design custom LLM solutions, and deliver production-ready models that solve high-value, real-world problems. Train and customize frontier models — not just use APIs. You’ll leverage Cohere’s full stack: CPT, post-training, retrieval + agent integrations, model evaluations, and SOTA modeling techniques. Influence the capabilities of Cohere’s foundation models. Techniques, datasets, evaluations, and insights you develop for customers will directly shape the next generation of Cohere’s frontier models. Operate with an early-startup level of ownership inside a frontier-model company. This role combines the breadth of an early-stage CTO with the infrastructure and scale of a deep-learning lab. Wear multiple hats, set a high technical bar, and define what Applied ML at Cohere becomes. Few roles in the industry combine application, research, customer-facing engineeri

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role We’re looking for someone to help lead the future of analytics at Ramp. This person will enable Ramp to get 1% better every day by developing data products and insights. They will partner closely with business stakeholders and product, engineering, and design counterparts to prioritize and execute on work, improve reporting, as well as drive results and process improvements. What You’ll Do Full stack development, building models to consume, transform, and expose data to stakeholders and production systems Drive a culture of experimental design, testing agenda, and best practices Contribute to the culture of Ramp’s data team by influencing processes, tools, and systems that will allow us to make better decisions in a scalable way Collaborate with P/E/D/D (product, engineering, data and design) teams to develop product roadmaps and measure success Work closely with data engineering teams to capture, move, store, and transform raw data into highly actionable insights, and partner with business teams to turn those insights into action Wha

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. What You’ll Do Full stack development, building models to consume, transform, and expose data to stakeholders and production systems Drive a culture of experimental design, testing agenda, and best practices Contribute to the culture of Ramp’s data team by influencing processes, tools, and systems that will allow us to make better decisions in a scalable way Collaborate with Finance teams (e.g. GTM Finance, StratFin) to develop financial insights and influence business decisions Work closely with data engineering teams to capture, move, store, and transform raw data into highly actionable insights, and partner with business teams to turn those insights into action What You Need Minimum of 3 years of industry experience in Data Science / Software Engineering / Finance Strong AI proficiency as a lever to quickly adopt new skills and subject matter Track record of shipping high quality products and features at scale Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical so

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role The Applied AI team at Ramp is at the forefront of leveraging AI to drive innovation across our platform. We are seeking strong full-stack engineers who are proficient in web frameworks, backend development, and infrastructure. You will work on exciting projects such as AI Agents, Retrieval-Augmented Generation, Structured Extraction (we made https://github.com/1rgs/jsonformer ), internal tooling for customer-facing teams, fine-tuning models, and build infrastructure for LLM inference. If you're passionate about working on real production use cases of large language models (LLMs) and want to contribute to groundbreaking AI applications, this role is for you. What You’ll Do Ship full-stack AI projects end to end Build and integrate components for AI infrastructure, supporting production-level inference and fine-tuning Develop and improve engineering processes, tools, and systems to scale AI solutions across Ramp Create tools and internal platforms to enhance the productivity and capabilities of Ramp's AI and engineering teams What You

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. Replit is building the world’s most accessible AI coding agent. Replit Agent can be used by anybody to bring their ideas to life. Whether it’s an app for yourself, the next great startup idea, or a tool to make you more productive at work, Replit Agent can help build it. Replit builds complete apps better than anybody thanks to our full suite of services that handle app integrations, storage, hosting, analytics, and more. We don’t just build apps in development, we handle the full lifecycle into production and beyond. About the role: Help power the development of Replit Agent as a technical leader for the Replit Cloud organization. You will report to the Vice President of Engineering. The Replit Cloud team builds Replit’s first party cloud infrastructure so users can build, scale, and succeed entirely on Replit. They manage databases, application storage, app publishing and hosting, development/production environment splitting, custom domains, and more. By having a set of first party services that integrate seamlessly, you will power one of Replit’s key product differentiators. You will: Help lead major projects, either by taking new products from 0->1 or doubling down on our first party primitives to keep winning users. Work closely with designers and product managers, to quickly iterate on Replit Cloud to continually grow and improve the product. Identify the hardest technical and/or quality problems holding us back, and then build solutions. Mentor and develop new senior engineers to help grow the team. Ship product and build infrastructure as a true full stack builder using: TypeScript, React, CSS, Postgres, Go, and Terraform. Examples of what you could do: Leverage our unique cloud infrastructure to build diffe

About the Team At OpenAI, we’re building the connective tissue between our mission and our people. People Innovation Labs is a fast-moving engineering team embedded in the People organization, focused on rethinking how we find and retain the best talent and empower everyone to do their best work. From recruiting to culture, we’re designing systems that give our People Team a significant edge by infusing OpenAI’s models and first-principles thinking into every aspect of our work. Our projects range from greenfield 0-1 products like OpenHouse (our internal knowledge hub) to AI-powered automations and scalable recruiting tools. We’re defining the future of work at OpenAI, creating a blueprint for how AI can supercharge productivity, culture, and innovation. About the Role We’re seeking a Data Engineer to build data-intensive systems that will power People Innovation Labs’ internal products and enable the People Analytics function to do their best work. These data pipelines are crucial for our build-out of people products backed by business systems of record and for ongoing people data analytics. One example of an employee-facing product you’ll help us build is OpenHouse, which serves as a culture and communication hub and an organization-wide front door into all other aspects of People Innovation Labs’ work. OpenHouse and other products in our portfolio are built by full stack product engineers who are deeply curious about culture, recruiting and people development, and want to know everything from the business strategy and metrics down through the code that gets us there. In this role, you will work with People Innovation Labs leadership and software engineers and the People Analytics team to build the data systems that enable this work. In this role, you will: Design, build and manage people data pipelines, ensuring all data is seamlessly integrated into our Databricks warehouse. Develop canonical datasets to track key people metrics and People Innovation Labs produc

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: We exist to improve Product leaders’ understanding and decision-making on how to profitably grow the business. Our North Star is to increase workload contribution margin dollars above the current forecast by serving as an objective, full-stack business partner. We do this by measuring key metrics, inferring actionable insights, catalyzing strategic decisions, and accelerating operational efficiency across Product, Engineering, and Sales. ABOUT THE ROLE: This is a high-visibility role that sits at the intersection of product strategy and financial analysis, giving you a unique vantage point to influence how we scale our business. We aren't looking for someone to just execute tasks and pull data; we need a partner who can navigate ambiguity, drive workstreams, and anticipate the next steps. This role is best for proactive problem-solvers with business intuition and a high level of curiosity. You will work on critical projects and collaborate with executives to turn complex data into decisive action. WHAT YOU WILL DO: Develop & Maintain Financial Models: Build and iterate on financial models that track both revenue and cost drivers, enabling accurate forecasting and real-time visibility into workload contribution margins. Drive Revenue & Margin Insights