Klarity

About Klarity Tldr on us: Series B, $91M raised, 7x growth last year. Digital Transformation gave rise to a $600B consulting Industry. AI Transformation will be 10x bigger and will be delivered through agents. We built that. Our AI discovers how work actually happens across every team and application, Structures it into a living Context Graph, and Improves it continuously. ServiceNow mapped 900+ processes in 9 days. DoorDash captured 3,800+ finance operations in 14 weeks. That's not a project. That's compounding intelligence. OpenAI, Google, DoorDash, and Stripe use Klarity to transform how they transform. We shipped GPT-4 document chat within 12 hours of OpenAI's API launch. We move fast, reward agency, and care deeply about our customers, our team, and our mission. About the Role: Klarity is looking for a founding Product Marketing Lead. As the founding product marketer, this role will build messaging and positioning for Klarity’s products and solutions across a variety of ICPs and Personas, develop content and programs that inspire our customers, accelerate our sales team, and enhance credibility and adoption for Klarity’s products. This is a unique opportunity to define the product marketing function and blends strategic thinking with hands-on execution. In this Role, you will: Market Research & Understanding: Acquire and possess in-depth understanding of our target markets, customers, buyer personas, competitors, and partners. GTM Strategy: Partner closely with leadership to define go-to-market strategy and tactics, then develop integrated marketing plans in collaboration with sales, product, field, and growth to drive pipeline. Product/Feature Launch: Coordinate and communicate product/feature launches and updates. Sales Enablement: Support our sales and marketing efforts as a subject matter expert. Create and deliver compelling collateral, AI tools, and programs to accelerate the sales team. Content Development: Develop thought leadership and educational content to drive awareness and consideration for Klarity products and solutions at the top of the funnel. Qualifications: 6+ years of experience in product marketing, particularly in B2B environments. Expertise leveraging GenAI tools like ChatGPT, Claude Code, Gemini, Figma, Replit, etc. to supercharge efforts. Excellent written and verbal communication, problem-solving, story-telling, and analytical skills. Demonstrated passion for and understanding of AI/ML technology, and the ability to explore and push the use of generative AI tools to unlock productivity. Strong business judgment and the ability to influence at all levels, including executive and to work across functions. A collaborative mindset, drive to create and improve processes, and willingness to support team members on various projects as needed. An outstanding level of attention to detail. Preferred Qualifications: Experience working at a fast-paced startup. Benefits: Equity in addition to competitive cash compensation 100% Employer-Paid Medical, Dental & Vision options! Paid Parental Leave $500 Annual Learning Fund $100 Monthly Wellness Fund 401k via Betterment Relocation support to San Francisco Bay Area (where applicable) Office-related Perks: Klarity is an equal opportunity employer. Klarity provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, national origin, sexual orientation, gender identity or expression, age, disability, genetic information, marital status or veteran status.

About Klarity Tldr on us: Series B, $91M raised, 7x growth last year. Digital Transformation gave rise to a $600B consulting Industry. AI Transformation will be 10x bigger and will be delivered through agents. We built that. Our AI discovers how work actually happens across every team and application, Structures it into a living Context Graph, and Improves it continuously. ServiceNow mapped 900+ processes in 9 days. DoorDash captured 3,800+ finance operations in 14 weeks. That's not a project. That's compounding intelligence. OpenAI, Google, DoorDash, and Stripe use Klarity to transform how they transform. We shipped GPT-4 document chat within 12 hours of OpenAI's API launch. We move fast, reward agency, and care deeply about our customers, our team, and our mission. Most recruiting roles are about running the machine. This one is about building it. You'll build the systems, the AI workflows, and the talent narrative for a company hiring the top 1% of AI talent — to ship products used by OpenAI, Stripe, Uber, and DoorDash. We're already on prompt v9 in our internal screening pipeline. We need someone who takes it to v50. About Klarity Klarity (YC S18) partners with Fortune 500 companies like ServiceNow, JLL, and Moody's, and frontier AI companies like OpenAI, DoorDash, Uber, and Stripe to deliver real AI outcomes. Traditional transformation playbooks take years, burn millions, and leave teams exhausted. Klarity upgrades the script: continuous, compounding improvements that everyone participates in. We're not looking for someone to maintain an existing recruiting machine. We're looking for someone excited to build one. Read This Before Applying We're building Klarity differently. The right founding recruiter genuinely shares this philosophy — they don't tolerate it. We hire exponential contributors, not headcount. A small team of exceptional people, augmented by AI, will outperform a large team of good people. Every hire should meaningfully increase our collective capability. If you're energized by building large teams and tracking req counts, this isn't the right role. We are AI-native in how we operate. We use AI throughout our hiring process and expect every person we hire to be AI-native in their work. You should already have gained 200–300% efficiency in your own workflow over the last two years — and have a real point of view on what creates leverage and what doesn't. Curiosity isn't enough; we want hands-on practice and outcomes. We do not build sprawling HR infrastructure. No programs for the sake of programs. No enterprise HR software stack. Every system you build should be lean, high-signal, and tied to outcomes. If you've spent your career building HR organizations at traditional companies, this role will frustrate you. We are high-intensity and mission-driven. Klarity isn't for people seeking work-life balance in the traditional sense. The people who thrive here are energized by hard problems and high standards — not drained by them. We are in-person. Five days a week, San Francisco. Our culture is built on proximity. This is a firm requirement. If this sounds like the environment you've been looking for, keep reading. If it sounds exhausting or misguided, we're not the right fit. The Role This is a hands-on, founding role at the intersection of recruiting execution, systems design, and AI-enabled workflows. You'll own full-cycle recruiting for priority roles while defining how hiring operates as Klarity scales. Klarity's People organization is actively evolving — including an ongoing search for a VP of People — which means team structure, systems, and ownership are still taking shape. This role is best suited for someone who sees that as an opportunity, not a risk. You won't inherit a mature recruiting function. You'll build the structure, workflows, and operating rhythm that make hiring scalable and predictable over time. In the near term: identify and close exceptional talent in highly competitive markets. Longer

About Klarity Tldr on us: Series B, $91M raised, 7x growth last year. Digital Transformation gave rise to a $600B consulting Industry. AI Transformation will be 10x bigger and will be delivered through agents. We built that. Our AI discovers how work actually happens across every team and application, Structures it into a living Context Graph, and Improves it continuously. ServiceNow mapped 900+ processes in 9 days. DoorDash captured 3,800+ finance operations in 14 weeks. That's not a project. That's compounding intelligence. OpenAI, Google, DoorDash, and Stripe use Klarity to transform how they transform. We shipped GPT-4 document chat within 12 hours of OpenAI's API launch. We move fast, reward agency, and care deeply about our customers, our team, and our mission. The Role We're hiring Senior Backend + Applied AI Engineers to build the core systems that power Klarity's multimodal agents in real enterprise environments. This is a hands-on engineering role at the intersection of distributed systems and applied AI: you'll design and ship backend services that ingest messy real-world data, orchestrate model/agent workflows, enforce enterprise-grade security and deliver reliable outcomes at scale. You'll work closely with product, design, and other engineers to turn ambitious AI capabilities into production-grade features that Fortune 500 enterprises can depend on. We care deeply about engineering fundamentals (correctness, observability, security, performance) and equally about iteration speed - because in this space, only the teams who ship quality products & features at incredible velocity win. You'll set technical direction for critical subsystems and mentor engineers earlier in their careers - raising the bar for the entire team. Note : We do not require a CS or Engineering degree. We care about your ability to ship, your systems thinking, and evidence of strong execution - whether through production work, open-source contributions, research, or high-quality side projects. Who You Are Backend engineer with sharp product judgment - You design and build services, APIs, data models, and infrastructure that are reliable, observable, secure, and fast. You can explain architectural tradeoffs as fluently as you can debate the right abstraction boundary. You optimize for outcomes - developer velocity, latency, correctness, uptime - and not just for elegance in the abstract. You've been the person teams turn to when a design review needs a tiebreaker. Systems thinker with uncommon foresight - You see around corners. While solving today's stated requirements, you anticipate how services will need to evolve - functionally and non-functionally. You design for the future but build for the present, and you never let architectural dogma slow the team down. You've designed at least one system from scratch that other engineers now build on top of and is used in production at scale. You establish patterns and conventions that become team defaults. Applied AI builder who ships to production - You're energized by LLMs, multimodal agents, orchestration protocols, and the messy work of making the entire AI stack reliable. You think instinctively in terms of evals, model regression tests, traceability, and exception handling. You've shipped multiple AI-powered features to production and have hard-won opinions about orchestration patterns, eval frameworks, and failure modes at scale. AI-native developer across the entire SDLC - You wield tools like Cursor, Claude Code, and Copilot as extensions of your craft. You are extremely confident to run concurrent agents doing your chores reliably. You use AI to generate technical designs, scaffold APIs, draft schemas, write tests, and build migration plans. You've built custom workflows and internal tooling around AI-assisted development that others on your team have adopted. Ship with velocity and craft - You find the shortest path to get features into users' hands while obsessing over the detai

About Klarity Tldr on us: Series B, $91M raised, 7x growth last year. Digital Transformation gave rise to a $600B consulting Industry. AI Transformation will be 10x bigger and will be delivered through agents. We built that. Our AI discovers how work actually happens across every team and application, Structures it into a living Context Graph, and Improves it continuously. ServiceNow mapped 900+ processes in 9 days. DoorDash captured 3,800+ finance operations in 14 weeks. That's not a project. That's compounding intelligence. OpenAI, Google, DoorDash, and Stripe use Klarity to transform how they transform. We shipped GPT-4 document chat within 12 hours of OpenAI's API launch. We move fast, reward agency, and care deeply about our customers, our team, and our mission. AI Value Delivery Lead (AI-First) <u>Experience</u>: 2 - 4 years <u>Locations</u>: San Francisco, Chicago, New York (relocation assistance available) <u>Job Type</u>: Full-time <u>Note:</u> We're growing fast, multiple openings are available for this role! At Klarity, you will thrive if: Velocity: You’re seeking a culture of rapid iteration and constant change that turns into lasting impact. Agency: You’re seeking a role where you can take initiative and embody ownership. Care: You hold yourself to high standards, enjoy close collaboration with others who care deeply and hold themselves to equally high standards. Energy: You bring drive and optimism to everything you do. You thrive on finding creative solutions to ambiguous problem statements. Qualifications: Become an industry disruptor, drive exponential impact and move customers from promise → value, fast. As an AI Value Delivery Lead, you are on the front lines of turning customer contracts into real outcomes. You'll work alongside senior leads and cross-functional teammates to execute onboarding sprints, support customers through their early value journey, and help build the infrastructure that makes Klarity's delivery function scale. This is a high-ownership, high-growth role. You'll be doing real work, not shadowing it. This is role we’re looking for: Understanding of great operational design and familiarity with process engineering, knowing the importance of having _ just the right _ level of structure. Ability to think abstractly and speak at all levels: Executive Facilitation & Storytelling, User Journey Design, Customer Experience & Product. Design thinking depth, change management skills and a builder mindset. A player coach who can multiply teams with your experience and make it scalable with AI. Outcome oriented and creatively scrappy: Hypothesize, hustle and hone. Knows when to bend frameworks, creates 2 way doors, technological self starter and treats setbacks as learning opportunities. Serving as a front line conduit for ou’ll turn field learnings into scalable playbooks, product improvements and customer outcomes. _ Portfolio / Span of Control _ ~10 - 15 enterprise customers | $1 - 3M book of business ownership What you'll do: Drive time-to-value for your customers: Own and execute structured onboarding & implementation sprints that help customers hit their magic milestones within 20 - 30 days. You'll own the day-to-day coordination, customer communication, and progress tracking. Support strategic advisory: Partner with senior leads on executive-facing deliverables, journey maps, readouts, change deployment sessions, and grow into facilitating these independently over time. Improve how we work: Spot friction in the implementation process and propose fixes. We expect you to make the playbook better, not just follow it. Be the connective tissue: Relay field learnings back to Product and Sales. Your observations from the front line are a core input into how Klarity evolves. Who you might be: You've worked in consulting, deployments, customer success, or a transformation-adjacent role and have hands-on experience running structured workstreams You're comfortable in a

About Klarity Tldr on us: Series B, $91M raised, 7x growth last year. Digital Transformation gave rise to a $600B consulting Industry. AI Transformation will be 10x bigger and will be delivered through agents. We built that. Our AI discovers how work actually happens across every team and application, Structures it into a living Context Graph, and Improves it continuously. ServiceNow mapped 900+ processes in 9 days. DoorDash captured 3,800+ finance operations in 14 weeks. That's not a project. That's compounding intelligence. OpenAI, Google, DoorDash, and Stripe use Klarity to transform how they transform. We shipped GPT-4 document chat within 12 hours of OpenAI's API launch. We move fast, reward agency, and care deeply about our customers, our team, and our mission. About the Role Klarity is seeking an Alliances Director to own and develop our relationships with Big-4 and management consulting firms — some of the most consequential partnerships in our go-to-market strategy. In this role, you'll report directly to the SVP, Head of Go-to-Market and will be responsible for transforming how the world's largest professional services firms adopt, deploy, and co-sell Klarity across their enterprise practices. This is a role that requires diplomatic precision. You'll navigate a nuanced dynamic: Klarity compresses the discovery and documentation work that consulting firms have historically billed for, while simultaneously making their engagements more profitable and their clients happier. The best person for this job understands that tension intuitively and can turn it into a compelling partnership story — helping firms show up differently and accelerate time-to-value delivery for their end customers. You'll orchestrate the complete relationship across multiple dimensions: consulting firms as customers (using Klarity to modernize their own delivery), as co-selling partners (jointly delivering to enterprise clients), and as channels (sell-through, sell-to, and white/grey-label motions). This includes defining where Klarity invests resources, which markets and verticals receive focus, structuring partnerships for maximum mutual value, and ongoing coordination and multi-threading internally with Klarity executives and account teams. This role requires someone who can hold their own in boardroom-level meetings with Big-4 leadership while simultaneously rolling up their sleeves to drive execution on the ground. You're as comfortable in a strategy session with a Managing Director as you are building the enablement materials that help 10,000 consultants understand what Klarity does — without needing to train each one individually. What You'll Do Own the strategic roadmap, investment decisions, and revenue accountability for Klarity's consulting alliances portfolio, with a target of driving $25M+ in annual partner-sourced revenue Build and maintain executive relationships within Big-4 and management consulting leadership to position Klarity as the foundational technology for their transformation and advisory practices Develop scalable enablement programs that help consulting firms' workforces understand Klarity's capabilities without requiring one-to-one training Design and operationalize partner economics across sell-to, sell-through, and white/grey-label models, ensuring commercially sound structures that scale Partner with consulting firms to co-develop industry-specific solutions and reference engagements that showcase Klarity's unique capabilities in process intelligence, speed-to-insight, and continuous improvement Diplomatically navigate the displacement dynamic — Klarity compresses traditional consulting discovery timelines, so you'll position that as a feature (not a threat) that makes their engagements more profitable Lead the pursuit of significant enterprise deals through partnerships, ensuring proper positioning and support throughout complex, multi-stakeholder sales cycles Establish success criteria for joint acc

About Klarity Tldr on us: Series B, $91M raised, 7x growth last year. Digital Transformation gave rise to a $600B consulting Industry. AI Transformation will be 10x bigger and will be delivered through agents. We built that. Our AI discovers how work actually happens across every team and application, Structures it into a living Context Graph, and Improves it continuously. ServiceNow mapped 900+ processes in 9 days. DoorDash captured 3,800+ finance operations in 14 weeks. That's not a project. That's compounding intelligence. OpenAI, Google, DoorDash, and Stripe use Klarity to transform how they transform. We shipped GPT-4 document chat within 12 hours of OpenAI's API launch. We move fast, reward agency, and care deeply about our customers, our team, and our mission. AI Backend Engineer @ Klarity Experience: 1-3 years shipping production code (or exceptional new grads with strong portfolios) Location: San Francisco / Bay Area (Relocation assistance available) Job Type: Full-time The Role We're hiring Backend + Applied AI Engineers to build the core systems that power Klarity's multimodal agents in real enterprise environments. This is a hands-on engineering role at the intersection of distributed systems and applied AI: you'll design and ship backend services that ingest messy real-world data, orchestrate model/agent workflows, enforce enterprise-grade security and deliver reliable outcomes at scale. You'll work closely with product, design, and other engineers to turn ambitious AI capabilities into production-grade features that Fortune 500 enterprises can depend on. We care deeply about engineering fundamentals (correctness, observability, security, performance) and equally about iteration speed - because in this space, only the teams who ship quality products & features at incredible velocity win. You'll be paired with senior engineers who'll accelerate your growth, but you'll own real features from day one - we don't believe in extended bench time. Note : We do not require a CS or Engineering degree. We care about your ability to ship, your systems thinking, and evidence of strong execution - whether through production work, open-source contributions, research, or high-quality side projects. Who You Are Backend engineer with sharp product judgment - You design and build services, APIs, data models, and infrastructure that are reliable, observable, secure, and fast. You're building strong instincts for architectural tradeoffs and you actively seek feedback on your design decisions. You optimize for outcomes - developer velocity, latency, correctness, uptime - and not just for elegance in the abstract. Systems thinker - You're developing the muscle to see around corners. While solving today's stated requirements, you anticipate how services will need to evolve - functionally and non-functionally. You design for the future but build for the present, and you ask good questions about why things are built a certain way and push back when complexity isn't justified. Applied AI builder who ships to production - You're energized by LLMs, multimodal agents, orchestration protocols, and the messy work of making the entire AI stack reliable. You think instinctively in terms of evals, model regression tests, traceability, and exception handling. You've built at least one meaningful AI-powered project - whether production, open-source, or a serious side project - and you understand the gap between a working demo and a reliable system. AI-native developer across the entire SDLC - You wield tools like Cursor, Claude Code, and Copilot as extensions of your craft. You are extremely confident to run concurrent agents doing your chores reliably. You use AI to generate technical designs, scaffold APIs, draft schemas, write tests, and build migration plans. You're hungry to master these workflows and are already noticeably faster than peers who haven't embraced AI tooling. Ship with velocity and craft - You find the shortest path to g

About Klarity Tldr on us: Series B, $91M raised, 7x growth last year. Digital Transformation gave rise to a $600B consulting Industry. AI Transformation will be 10x bigger and will be delivered through agents. We built that. Our AI discovers how work actually happens across every team and application, Structures it into a living Context Graph, and Improves it continuously. ServiceNow mapped 900+ processes in 9 days. DoorDash captured 3,800+ finance operations in 14 weeks. That's not a project. That's compounding intelligence. OpenAI, Google, DoorDash, and Stripe use Klarity to transform how they transform. We shipped GPT-4 document chat within 12 hours of OpenAI's API launch. We move fast, reward agency, and care deeply about our customers, our team, and our mission. AI Front-end Engineer @ Klarity Experience: 1-2 years of shipping production code (or exceptional new grads with strong portfolios) Location: San Francisco / Bay Area (Relocation assistance available) Job Type: Full-time The Role We are looking for an AI Front-end Engineer who wants to learn at the intersection of product design and frontend engineering. You care deeply about craft and have strong frontend fundamentals, but you're early in your career and hungry to grow. You'll work directly with senior engineers and designers to build AI-native workflows that make complex enterprise tools feel intuitive. Note: We do not require a CS or Engineering degree. We care about your portfolio, side projects, and your hunger to learn and ship. Who You Are Strong frontend fundamentals with design sensibility - You're comfortable with React and have built real projects. You understand the basics of component architecture and care about how things look and feel. You're excited to learn the nuances of performance optimization and advanced patterns. Familiar with modern web technologies - You've worked with React, TypeScript, and CSS frameworks like Tailwind. You may not have mastered them yet, but you're eager to learn best practices and write cleaner code every day. AI-curious and eager to experiment - You've tried tools like Cursor, Claude Code, or v0.dev and see their potential to accelerate your work. You're excited to learn how to use AI tools effectively to prototype faster and focus on solving hard problems. Hungry to ship quickly and learn from feedback - You care about getting features in front of users and iterating based on what you learn. You're willing to make tradeoffs and understand that done is often better than perfect when you're learning. Detail-oriented and quality-conscious - You notice when things feel off—animations that are janky, layouts that shift, or colors that don't quite work. You want to build things that feel good to use, even if you're still learning how to achieve that consistently. Collaborative and coachable - You ask good questions, take feedback well, and are excited to learn from people with more experience. You're comfortable saying "I don't know" and then figuring it out. Energized by hard problems - You see challenging UI problems as opportunities to grow. You bring enthusiasm and a positive attitude even when things are ambiguous or difficult. What You'll Do Ship real features used by Fortune 500 customers - Build production UI components, integrate with backend APIs, and contribute to features that ship to real users. You'll get code reviews and mentorship from senior engineers. Learn to build scalable front-end systems - Work within existing component libraries and patterns, contributing new components and learning best practices for state management, API integration, and performance optimization. Collaborate across design and engineering - Work with designers to implement their vision and with backend engineers to understand what's possible. You'll learn how to balance technical constraints with user experience goals. Grow your craft rapidly - You'll work directly with senior engineers on real problems, gett

About Klarity Tldr on us: Series B, $91M raised, 7x growth last year. Digital Transformation gave rise to a $600B consulting Industry. AI Transformation will be 10x bigger and will be delivered through agents. We built that. Our AI discovers how work actually happens across every team and application, Structures it into a living Context Graph, and Improves it continuously. ServiceNow mapped 900+ processes in 9 days. DoorDash captured 3,800+ finance operations in 14 weeks. That's not a project. That's compounding intelligence. OpenAI, Google, DoorDash, and Stripe use Klarity to transform how they transform. We shipped GPT-4 document chat within 12 hours of OpenAI's API launch. We move fast, reward agency, and care deeply about our customers, our team, and our mission. The Role We're looking for an AI Product Engineer who's excited to work at the intersection of product thinking and technical execution. You may be early in your career, but you already have strong instincts for what makes a great product — and the technical chops to start building it. You'll work alongside senior engineers and product leaders, owning meaningful pieces of features from customer insight through production. Who You Are Product thinker with engineering foundations — You have budding product instincts and a genuine interest in understanding users. Your technical background (CS fundamentals, React, TypeScript, Python) lets you prototype ideas and ship MVPs — you're building toward independence and learning fast along the way. Energized by customer discovery — You're genuinely curious about customer problems and eager to get in front of users. You're comfortable joining customer calls, asking thoughtful questions, and developing product conviction through real conversations. Strong UX sensibility and visual taste — You're not a trained designer, but you know what good UX looks like. You notice when flows feel off, care about spacing and hierarchy, and form strong opinions about how things should work. Exposure to AI-native product development — You've built projects using LLMs or AI APIs — whether in production, internships, or personal work. You're developing intuition for the product tradeoffs: how to scope around non-determinism, when AI adds genuine value versus complexity, and how to set user expectations for probabilistic systems. AI-native builder who moves fast — You use AI coding assistants like Cursor, Claude Code, and Replit to prototype rapidly and test product directions with real code. AI lets you validate 10 ideas in the time it used to take to build one. Own outcomes, not just features — You care about whether what you shipped actually worked successfully. You want to define success metrics, talk to users, analyze data, and iterate based on learnings — not just close tickets. Bring energy that elevates others — You see hard product problems as puzzles to solve through customer insight and rapid experimentation. Your enthusiasm for building products people love raises the bar for the entire team. Experience: 0-2 years in product management or product engineering roles What You'll Do Own meaningful pieces of product features — Work with senior team members to understand customer problems, then take ownership of scoped parts of the solution — from prototyping through shipping. You'll learn to make product and UX decisions with real technical context. Build and ship across the stack — Write code in React, TypeScript, and Python to bring ideas to life. Use AI-assisted development tools to move fast. Ship MVPs, gather feedback, and iterate. Learn to bridge AI and user needs — Work alongside engineers and AI researchers to understand what's technically possible, then help translate that into experiences customers love. You'll develop judgment about where AI creates real value versus unnecessary complexity. Grow through experimentation — Build conviction by shipping and learning, not by theorizing. You'll run experiment

About Klarity Tldr on us: Series B, $91M raised, 7x growth last year. Digital Transformation gave rise to a $600B consulting Industry. AI Transformation will be 10x bigger and will be delivered through agents. We built that. Our AI discovers how work actually happens across every team and application, Structures it into a living Context Graph, and Improves it continuously. ServiceNow mapped 900+ processes in 9 days. DoorDash captured 3,800+ finance operations in 14 weeks. That's not a project. That's compounding intelligence. OpenAI, Google, DoorDash, and Stripe use Klarity to transform how they transform. We shipped GPT-4 document chat within 12 hours of OpenAI's API launch. We move fast, reward agency, and care deeply about our customers, our team, and our mission. About the role We are looking for an Sr / Staff AI Product Designer who sits at the intersection of product design and frontend engineering, a designer first, with the technical skills and AI tools to bring designs to life in production code. You'll define and build the look and feel of AI-native workflows, making complex enterprise tools feel as intuitive as the best consumer apps. We care about your design portfolio, systems thinking, and track record of shipping, not your degree. Who you are Designer first, engineer by growth: A product designer with a strong visual and interaction foundation. You've designed complex software products and learned to code — or are learning — because you want to ship your designs without waiting on a backlog. Expert in design tools and systems thinking: Figma, design systems, component libraries, and interaction patterns are second nature. You think in systems — understanding how individual components combine into cohesive experiences at scale. AI-native designer who builds in code: You use AI coding assistants like Cursor, Claude Code, Codex, Replit etc to rapidly translate concepts into working, near-production-grade prototypes. You obsess over micro-interactions, transitions, spacing, color, and accessibility. Shipped AI-native features to production: You understand the unique challenges of building with LLMs — designing for non-determinism, creating delightful experiences around unpredictable outputs, and innovating UX patterns that make cutting-edge AI feel intuitive. User-centered, outcome-driven: You ground design decisions in research and real feedback, own the end-to-end experience from sketch to ship, and advocate for users while balancing business and technical constraints. Key responsibilities Own the primary user-facing features - Define the visual language, interaction patterns, and user flows for core product features, then ship them to production. You own the experience from concept to launch. Build and evolve the design system - Design reusable component libraries that work both in Figma and in code. Establish patterns for layouts, interactions, and visual hierarchy that the team can leverage. Ensure consistency across the platform while maintaining flexibility for innovation. Bridge AI capabilities with intuitive experiences - Partner with product and engineers to understand what AI can do, then design interfaces that make complex capabilities feel simple. You translate technical possibilities into delightful user experiences. Benefits: Equity in addition to competitive cash compensation 100% Employer-Paid Medical, Dental & Vision options! Paid Parental Leave $500 Annual Learning Fund $100 Monthly Wellness Fund 401k via Betterment Relocation support to San Francisco Bay Area (where applicable) Office-related Perks: Klarity is an equal opportunity employer. Klarity provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, national origin, sexual orientation, gender identity or expression, age, disability, genetic information, marital status or veteran status.

About Klarity Tldr on us: Series B, $91M raised, 7x growth last year. Digital Transformation gave rise to a $600B consulting Industry. AI Transformation will be 10x bigger and will be delivered through agents. We built that. Our AI discovers how work actually happens across every team and application, Structures it into a living Context Graph, and Improves it continuously. ServiceNow mapped 900+ processes in 9 days. DoorDash captured 3,800+ finance operations in 14 weeks. That's not a project. That's compounding intelligence. OpenAI, Google, DoorDash, and Stripe use Klarity to transform how they transform. We shipped GPT-4 document chat within 12 hours of OpenAI's API launch. We move fast, reward agency, and care deeply about our customers, our team, and our mission. The Role We are looking for an AI Front-end Engineer who sits at the intersection of product design and frontend engineering. You are an engineer first, but with exceptional design sensibility that elevates everything you build. You will be responsible for defining and implementing the "look and feel" of AI-native workflows, ensuring that our complex enterprise tools feel as intuitive as the best consumer apps. Note: We do not require a CS or Engineering degree. We care about your portfolio, your GitHub (or equivalent), and your track record of shipping. Who You Are Engineer first, designer by instinct - You're a front-end engineer with a natural eye for great design. You can discuss the tradeoffs of Server Components versus Client Components just as fluently as you can critique spacing and visual hierarchy. Expert in modern web technologies - React, Next.js, TypeScript, and Tailwind aren't just in your toolkit—you've truly mastered them. You understand the performance consequences of your architectural decisions and ship code that's both elegant and performant. AI-native developer with creative problem-solving chops - You wield tools like Cursor, Claude Code, v0.dev, and Lovable as extensions of your craft. You use AI to prototype 10 variations in the time it used to take to build one, letting you focus on the hard problems: information architecture, user flows, and delightful interactions. Ship with velocity and craft - You find the shortest path to get features in front of users while obsessing over the details that create delight. You catch when animations feel off by 50ms or color contrast doesn't meet WCAG standards. You believe speed and quality aren't opposites—they happen together when you're thoughtful about how you build. Drive outcomes with product thinking - You move from prototype to user feedback to iteration to production with speed and conviction. You own features end-to-end, challenge designs that compromise user experience, and care deeply about the entire user journey. You shape the product through action, not waiting for permission. Bring energy that elevates others - You see "impossible" UI challenges as puzzles waiting to be solved. Your optimism, intensity, and passion for craft are contagious and make the team stronger. Experience: 4+ years of shipping production-grade products What You'll Do Architect scalable front-end systems - Design reusable component libraries, establish patterns for state management and API integration, optimize bundle sizes, and ensure the platform performs beautifully at scale. You'll work across the full spectrum from responsive layouts to micro-interactions, with bonus points for diving into Python backends when needed. Own and ship the primary user-facing features - Build the core interfaces users interact with daily. You'll write the React components, integrate with backend APIs, and polish every detail to production quality. Bridge AI capabilities with elegant user experiences - Partner with product and backend engineers to understand what's possible, then create interfaces that expose powerful functionality while hiding technical complexity. Multiply your impact across disciplines - Y

About Klarity Tldr on us: Series B, $91M raised, 7x growth last year. Digital Transformation gave rise to a $600B consulting Industry. AI Transformation will be 10x bigger and will be delivered through agents. We built that. Our AI discovers how work actually happens across every team and application, Structures it into a living Context Graph, and Improves it continuously. ServiceNow mapped 900+ processes in 9 days. DoorDash captured 3,800+ finance operations in 14 weeks. That's not a project. That's compounding intelligence. OpenAI, Google, DoorDash, and Stripe use Klarity to transform how they transform. We shipped GPT-4 document chat within 12 hours of OpenAI's API launch. We move fast, reward agency, and care deeply about our customers, our team, and our mission. The Role We are looking for an AI Product Engineer who sits at the intersection of product thinking and technical execution. You are a product thinker first, with a strong engineering background that allows you to ship your own ideas. You will be responsible for defining what we build and building it—owning features from customer insight to production deployment. Who You Are Product thinker with engineering depth - You have strong product instincts grounded in user research and customer conversations. Your technical depth (CS fundamentals, React, TypeScript, Python) lets you prototype ideas, evaluate tradeoffs, and ship MVPs independently. You build to learn fast, not to architect perfect systems. Energized by customer discovery - You genuinely love talking to customers and uncovering their problems. You're comfortable running user interviews, asking tough questions, and building product conviction through real conversations. Strong UX sensibility and visual taste - You're not a trained designer, but you know what good UX looks like. You make informed decisions about user flows, information architecture, and interactions independently. You care about spacing, hierarchy, and details. Shipped AI-native features to production - You've shipped AI-native features and understand the product tradeoffs: how to scope around non-determinism, when AI adds genuine value versus complexity, and how to set user expectations for probabilistic systems. You make informed product decisions about where to apply cutting-edge AI. AI-native builder who moves fast - You use AI coding assistants like Cursor, Claude Code, and Replit to prototype rapidly and test product directions with real code. AI lets you validate 10 ideas in the time it used to take to build one. Own outcomes, not just features - You define success metrics, talk to users, analyze data, and iterate based on learnings. You pivot quickly when something isn't working and double down when you find traction. Bring energy that elevates others - You see hard product problems as puzzles to solve through customer insight and rapid experimentation. Your enthusiasm for building products people love raises the bar for the entire team. What You'll Do Own product features end-to-end - Talk to customers to understand their problems, define what to build (including UX and interaction patterns), scope the MVP, ship it to production, measure results, and iterate. You're responsible for both the "what" and the "how it feels." You make product and UX decisions with full technical context. Build and ship rapidly - Write code across the full stack to bring product ideas to life. Use AI tools to accelerate development and explore multiple solutions. Ship MVPs to learn fast, then iterate based on real user feedback and data. Bridge AI capabilities with user needs - Partner with engineers and AI researchers to understand what's possible, then translate that into product experiences that solve real customer problems. You identify where cutting-edge AI can create step-change value versus where simpler solutions win. Define product strategy through experimentation - Use rapid prototyping and user testing to inform product d

About Klarity Tldr on us: Series B, $91M raised, 7x growth last year. Digital Transformation gave rise to a $600B consulting Industry. AI Transformation will be 10x bigger and will be delivered through agents. We built that. Our AI discovers how work actually happens across every team and application, Structures it into a living Context Graph, and Improves it continuously. ServiceNow mapped 900+ processes in 9 days. DoorDash captured 3,800+ finance operations in 14 weeks. That's not a project. That's compounding intelligence. OpenAI, Google, DoorDash, and Stripe use Klarity to transform how they transform. We shipped GPT-4 document chat within 12 hours of OpenAI's API launch. We move fast, reward agency, and care deeply about our customers, our team, and our mission. About the Role Become an industry disruptor, drive exponential impact and move customers from promise → value, fast. As an AI Value Delivery Lead, you operate like a forward-deployed expert consultant for Klarity customers and help build our AI Delivery function. You'll own the critical path from contract signature through early value realization, ensuring customers achieve their goals on Klarity… not just a successful onboarding. This is a unique and high impact role. We're looking for: Understanding of great operational design and familiarity with process engineering, knowing the importance of having just the right level of structure. Ability to think abstractly and speak at all levels: Executive Facilitation & Storytelling, User Journey Design, Customer Experience & Product. Design thinking depth, change management skills and a builder mindset. A player coach who can multiply teams with your experience and make it scalable with AI. Outcome oriented and creatively scrappy: Hypothesize, hustle and hone. Knows when to bend frameworks, creates 2 way doors, technological self starter and treats setbacks as learning opportunities. Serving as a connective tissue between Sales, Product and Engineering, you'll turn field learnings into scalable playbooks, product improvements and customer outcomes. Portfolio / Span of Control: ~7-10 strategic customers | $3-5M ARR ownership What You'll Do Accelerated value realization: Act as a strategic advisor orchestrating and executing Value Realization Onboarding Sprints that get customers to their magic milestones within 20-30 days. Internal innovation & optimization: Continuously assess the 'what,' 'why,' and 'how,' and find ways to enhance our processes, infrastructure, and technology to increase the future scalability of post-sales & value realization. Who You Might Be You've worked in top-tier consulting (e.g. McKinsey, Bain, BCG) or within UX / Transformation / ops roles at enterprise scale. You've partnered with clients or internal teams on large-scale operational initiatives and have the presence to advise VPs and C-level execs. Bonus if you've created apps, coded, written workflows, or partnered deeply with engineering/product teams. Six Sigma experience preferred but not required! You've experienced traditional transformation, know it doesn't need to be so difficult and you're motivated to solve it with AI. _ Ideal Experience: 8+ years_ What Success Looks Like Primary KPIs: Onboarding Sprint Value Realization Attainment across your customers (SLA) Customer Experience & Implementation Health (Index Percentages) NRR & GDR based on book of business Internal optimization (process improvements deployed + impact) The Work Pilot A 2-day work pilot is part of the application, which will include: Design Thinking: Build a canonical event model along the Klarity customer lifecycle Internal process optimization: Tackle one bottleneck in the onboarding / value realization workflow (we'll give you options) Prototype a tool: Use internal tools to build an agent or automation that addresses an existing hurdle for the team Cross-Functional Communication: Present lifecycle insights & internal o

About Klarity Tldr on us: Series B, $91M raised, 7x growth last year. Digital Transformation gave rise to a $600B consulting Industry. AI Transformation will be 10x bigger and will be delivered through agents. We built that. Our AI discovers how work actually happens across every team and application, Structures it into a living Context Graph, and Improves it continuously. ServiceNow mapped 900+ processes in 9 days. DoorDash captured 3,800+ finance operations in 14 weeks. That's not a project. That's compounding intelligence. OpenAI, Google, DoorDash, and Stripe use Klarity to transform how they transform. We shipped GPT-4 document chat within 12 hours of OpenAI's API launch. We move fast, reward agency, and care deeply about our customers, our team, and our mission. The Role We’re hiring a Senior DevSecOps Engineer to own and evolve Klarity’s cloud infrastructure, security posture, and deployment operations. This is a foundational, hands-on role: you’ll architect multi-tenant and single-tenant deployment models, harden our security and compliance surface, automate everything that can be automated using state-of-the-art AI, and ensure our platform can scale reliably as we cater to hundreds of enterprise customers. You’ll work at the intersection of infrastructure engineering, application security, and platform reliability—partnering closely with backend engineers, product, and leadership to make sure that every line of code we ship lands on infrastructure that is secure, observable, and ready for the most demanding customers in the world. Note: We do not require a CS or Engineering degree. We care about your ability to ship, your systems thinking, and evidence of strong execution—whether through production work, open-source contributions, certifications, or battle-tested operational experience. Who You Are Infrastructure engineer with a security-first mindset – You design, build, and operate cloud infrastructure that is secure by default, not secured as an afterthought. You think in terms of blast radius, least privilege, and defense in depth. You’ve built and maintained production infrastructure on AWS (and ideally GCP or Azure) serving enterprise-grade workloads. You know how to make infrastructure reproducible, auditable, and self-healing. You’ve built CI/CD pipelines that teams actually trust, written infrastructure as code that other engineers can read and extend, and designed deployment workflows that make shipping safe and fast. You’ve worked across tenancy patterns – You’ve designed or operated platforms that serve multiple tenants with strong data isolation and can articulate the tradeoffs between shared infrastructure, siloed namespaces, and fully dedicated environments. You understand tenant isolation at every layer: network, compute, storage, and application. You’ve navigated the complexity of deploying the same application across multi-tenant SaaS, single-tenant dedicated, and hybrid (split control-plane / data-plane) topologies. Security engineer who thinks like an attacker – You proactively identify and close security gaps before they become incidents. You’ve implemented secrets management, vulnerability scanning, SAST/DAST pipelines, runtime threat detection, and incident response playbooks. You understand supply chain security, container hardening, and network segmentation at a deep level. You’ve been the person the team turns to when a security incident needs triaging at 2 AM. Well versed with compliance and governance – You’ve worked in environments that require SOC 2, ISO 27001, HIPAA, FedRAMP, or similar frameworks and you understand how to translate compliance requirements into engineering controls. You can build audit trails, access logs, and policy-as-code systems that satisfy auditors without slowing down developers. You’ve helped a company achieve or maintain at least one major compliance certification. Ship with velocity and craft – You wield tools like Claude Code, Cursor, and Copilot as e

Solution Architect, Enterprise <u>Experience</u>: 8+ years <u>Location</u>: Bangalore/Bengaluru (relocation assistance available) <u>Job Type</u>: Full-time, Hybrid About Klarity: <u>Klarity</u> (YC S18) partners with Fortune 500 companies like ServiceNow, JLL, and Moody’s and cutting-edge companies like OpenAI, DoorDash, Uber, and Stripe to deliver real AI outcomes. Traditional Transformation playbooks take years, burn millions, and leave your team exhausted. Klarity upgrades the script by delivering kAIzen for the digital enterprise: continuous, compounding improvements that everyone participates in. At Klarity, you will thrive if: Velocity: You’re seeking a culture of rapid iteration and constant change that turns into lasting impact. Agency: You’re seeking a role where you can take initiative and embody ownership. Care: You hold yourself to high standards, enjoy close collaboration with others who care deeply and hold themselves to equally high standards. Energy: You bring drive and optimism to everything you do. You thrive on finding creative solutions to ambiguous problem statements. In this Role, you will: Serve Klarity clients as a subject matter expert (SME) during the onboarding process, and as an advisor to transformation efforts utilizing Klarity platform. Partner with enterprise stakeholders to understand business, operational, and IT workflows and translate them into scalable solutions on the Klarity platform. Design end-to-end solutions spanning enterprise systems, integrations, automations, and AI-driven workflows. Create high quality project artifacts, including: Business requirement documents, process and data flow diagrams, and technical architecture and end-to-end design documentation. Advise C-level members on adoption and best use of Klarity. Present a compelling demonstration of Klarity and architectural walkthroughs to customers. Serve as a feedback loop between the Sales, Customer Success, and Product Engineering teams on feature updates and product enhancements for the suite of Klarity products. Solutioning design: Develop a deep understanding of the Klarity platform to guide solution design and implementation decisions. Qualifications: Bachelor’s degree or equivalent experience required. 8+ years of experience in Solution Architecture, Enterprise Architecture, or Technical Consulting. Hands-on experience designing and implementing integrations and automations across multiple enterprise systems, which may include: Strong familiarity with various enterprise and open source LLMs and GenAI tools like ChatGPT, Claude Code, Gemini, Figma, Replit, etc to accelerate analysis, documentation, and solutioning. Excellent documentation skills including experience creating: Ability to engage effectively with both technical and non-technical stakeholders. Preferred Qualifications: Experience working with VP/C-level execs at Enterprises ($500m ARR+). Big 4 and/or top-tier management consulting firms (i.e. Bain, BCG, McKinsey) consulting experience. Experience coding in Python. Benefits: Equity in addition to competitive cash compensation 100% Employer-Paid Medical coverage for Employee + 5 dependents, Accidental Cover and Term Cover (2X CTC). Paid Parental Leave INR10,000 Annual Learning Fund INR14,000 Annual Wellness Fund for Gym memberships Relocation support to Bangalore/Bengaluru (where applicable) Office-related Perks: Klarity is an equal opportunity employer. Klarity provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, national origin, sexual orientation, gender identity or expression, age, disability, genetic information, marital status or veteran status.

About Klarity Tldr on us: Series B, $91M raised, 7x growth last year. Digital Transformation gave rise to a $600B consulting Industry. AI Transformation will be 10x bigger and will be delivered through agents. We built that. Our AI discovers how work actually happens across every team and application, Structures it into a living Context Graph, and Improves it continuously. ServiceNow mapped 900+ processes in 9 days. DoorDash captured 3,800+ finance operations in 14 weeks. That's not a project. That's compounding intelligence. OpenAI, Google, DoorDash, and Stripe use Klarity to transform how they transform. We shipped GPT-4 document chat within 12 hours of OpenAI's API launch. We move fast, reward agency, and care deeply about our customers, our team, and our mission. What You’ll Do Partner with account executives to run technical discovery, deeply understand prospect pain points, and translate them into tailored Klarity solutions that map directly to business outcomes Own the technical win in enterprise sales cycles — from initial qualification and success criteria scoping through proof-of-value execution, ensuring Klarity is positioned to win in competitive evaluations Build and deliver compelling, customized product demonstrations that bring Klarity’s AI capabilities to life for different audiences — from C-suite business-value narratives to hands-on technical deep dives with IT and operations teams Design and execute proof-of-value (POV) engagements that let prospects experience Klarity on their own processes and data, establishing clear success criteria and delivering measurable results Handle technical objections and competitive positioning throughout the sales cycle, articulating Klarity’s differentiation against incumbents, consulting-led approaches, and build-vs-buy alternatives Develop and refine reusable sales assets — demo environments, technical one-pagers, ROI frameworks, and competitive battle cards — that scale the pre-sales motion beyond one-to-one engagement Serve as a feedback conduit between the field and Product/Engineering, synthesizing prospect patterns, feature requests, and competitive intelligence into actionable insights that shape our roadmap Travel to customer sites for workshops, technical deep dives, and relationship building — presence at critical deal moments is essential to success Maintain strong knowledge of the latest developments in AI capabilities, LLM implementation patterns, and process intelligence methodologies You May Be a Good Fit If You… Have 5+ years of experience in pre-sales or sales engineering roles such as Solutions Consultant, Sales Engineer, Solutions Engineer, or Pre-Sales Architect — with a track record of directly contributing to closed-won revenue in enterprise sales cycles Have a proven ability to run technical discovery that uncovers real business pain, not just feature requirements — you ask the questions that reframe how prospects think about their problem Are a world-class demo artist — you can build and deliver product demonstrations that are tailored, compelling, and feel effortless, whether for a room of five or an audience of five hundred Have experience navigating complex enterprise buying cycles involving multiple stakeholders across IT, operations, procurement, and executive leadership — and know how to build consensus across all of them Possess exceptional ability to communicate technical concepts to non-technical audiences — C-suite executives, line-of-business owners, and operations leaders who care about outcomes, not architecture diagrams Have designed and delivered proof-of-value or proof-of-concept engagements with clear success criteria and measurable outcomes that directly influenced deal closure Are comfortable with technical concepts around AI, LLMs, and data pipelines — enough to speak credibly with enterprise IT teams and address integration questions with confidence, even if you’re not writing production code

About Klarity Tldr on us: Series B, $91M raised, 7x growth last year. Digital Transformation gave rise to a $600B consulting Industry. AI Transformation will be 10x bigger and will be delivered through agents. We built that. Our AI discovers how work actually happens across every team and application, Structures it into a living Context Graph, and Improves it continuously. ServiceNow mapped 900+ processes in 9 days. DoorDash captured 3,800+ finance operations in 14 weeks. That's not a project. That's compounding intelligence. OpenAI, Google, DoorDash, and Stripe use Klarity to transform how they transform. We shipped GPT-4 document chat within 12 hours of OpenAI's API launch. We move fast, reward agency, and care deeply about our customers, our team, and our mission. The Role We are looking for an AI Front-end Engineer who sits at the intersection of product design and frontend engineering. You are an engineer first, but with exceptional design sensibility that elevates everything you build. You will be responsible for defining and implementing the "look and feel" of AI-native workflows, ensuring that our complex enterprise tools feel as intuitive as the best consumer apps. Note: We do not require a CS or Engineering degree. We care about your portfolio, your GitHub (or equivalent), and your track record of shipping. Who You Are Engineer first, designer by instinct - You're a front-end engineer with a natural eye for great design. You can discuss the tradeoffs of Server Components versus Client Components just as fluently as you can critique spacing and visual hierarchy. Expert in modern web technologies - React, Next.js, TypeScript, and Tailwind aren't just in your toolkit—you've truly mastered them. You understand the performance consequences of your architectural decisions and ship code that's both elegant and performant. AI-native developer with creative problem-solving chops - You wield tools like Cursor, Claude Code, v0.dev, and Lovable as extensions of your craft. You use AI to prototype 10 variations in the time it used to take to build one, letting you focus on the hard problems: information architecture, user flows, and delightful interactions. Ship with velocity and craft - You find the shortest path to get features in front of users while obsessing over the details that create delight. You catch when animations feel off by 50ms or color contrast doesn't meet WCAG standards. You believe speed and quality aren't opposites—they happen together when you're thoughtful about how you build. Drive outcomes with product thinking - You move from prototype to user feedback to iteration to production with speed and conviction. You own features end-to-end, challenge designs that compromise user experience, and care deeply about the entire user journey. You shape the product through action, not waiting for permission. Bring energy that elevates others - You see "impossible" UI challenges as puzzles waiting to be solved. Your optimism, intensity, and passion for craft are contagious and make the team stronger. Experience: 6+ years of shipping production-grade products What You'll Do Architect scalable front-end systems - Design reusable component libraries, establish patterns for state management and API integration, optimize bundle sizes, and ensure the platform performs beautifully at scale. You'll work across the full spectrum from responsive layouts to micro-interactions, with bonus points for diving into Python backends when needed. Own and ship the primary user-facing features - Build the core interfaces users interact with daily. You'll write the React components, integrate with backend APIs, and polish every detail to production quality. Bridge AI capabilities with elegant user experiences - Partner with product and backend engineers to understand what's possible, then create interfaces that expose powerful functionality while hiding technical complexity. Multiply your impact across disciplines - Y

About Klarity Tldr on us: Series B, $91M raised, 7x growth last year. Digital Transformation gave rise to a $600B consulting Industry. AI Transformation will be 10x bigger and will be delivered through agents. We built that. Our AI discovers how work actually happens across every team and application, Structures it into a living Context Graph, and Improves it continuously. ServiceNow mapped 900+ processes in 9 days. DoorDash captured 3,800+ finance operations in 14 weeks. That's not a project. That's compounding intelligence. OpenAI, Google, DoorDash, and Stripe use Klarity to transform how they transform. We shipped GPT-4 document chat within 12 hours of OpenAI's API launch. We move fast, reward agency, and care deeply about our customers, our team, and our mission. The Role We're looking for an AI Product Engineer who's excited to work at the intersection of product thinking and technical execution. You may be early in your career, but you already have strong instincts for what makes a great product — and the technical chops to start building it. You'll work alongside senior engineers and product leaders, owning meaningful pieces of features from customer insight through production.   Who You Are Product thinker with engineering foundations — You have budding product instincts and a genuine interest in understanding users. Your technical background (CS fundamentals, React, TypeScript, Python) lets you prototype ideas and ship MVPs — you're building toward independence and learning fast along the way. Energized by customer discovery — You're genuinely curious about customer problems and eager to get in front of users. You're comfortable joining customer calls, asking thoughtful questions, and developing product conviction through real conversations. Strong UX sensibility and visual taste — You're not a trained designer, but you know what good UX looks like. You notice when flows feel off, care about spacing and hierarchy, and form strong opinions about how things should work. Exposure to AI-native product development — You've built projects using LLMs or AI APIs — whether in production, internships, or personal work. You're developing intuition for the product tradeoffs: how to scope around non-determinism, when AI adds genuine value versus complexity, and how to set user expectations for probabilistic systems. AI-native builder who moves fast — You use AI coding assistants like Cursor, Claude Code, and Replit to prototype rapidly and test product directions with real code. AI lets you validate 10 ideas in the time it used to take to build one. Own outcomes, not just features — You care about whether what you shipped actually worked successfully. You want to define success metrics, talk to users, analyze data, and iterate based on learnings — not just close tickets. Bring energy that elevates others — You see hard product problems as puzzles to solve through customer insight and rapid experimentation. Your enthusiasm for building products people love raises the bar for the entire team. Experience: 0-2 years in product management or product engineering roles What You'll Do Own meaningful pieces of product features — Work with senior team members to understand customer problems, then take ownership of scoped parts of the solution — from prototyping through shipping. You'll learn to make product and UX decisions with real technical context. Build and ship across the stack — Write code in React, TypeScript, and Python to bring ideas to life. Use AI-assisted development tools to move fast. Ship MVPs, gather feedback, and iterate. Learn to bridge AI and user needs — Work alongside engineers and AI researchers to understand what's technically possible, then help translate that into experiences customers love. You'll develop judgment about where AI creates real value versus unnecessary complexity. Grow through experimentation — Build conviction by shipping and learning, not by theorizing. You'll run experime