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Location: London, England Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? Self-serve is where the majority of our customers start their journey, and the Growth team owns that journey end to end. This role owns the self-serve existing business : once a customer converts to paid, the account is yours - through every stage of its lifecycle, as it adopts more of the platform, grows its usage, and deepens its reliance on Fin. Your mandate is to grow the value of the self-serve base: drive expansion, strengthen retention, and accelerate adoption of Fin and our newest products across thousands of paying customers. You'll own a book of business, a roadmap, and a cross-functional motion that spans product, lifecycle, data, and go-to-market. It's a rare Growth remit with a clear number to move and a lot of room to build the motions that move it. What will I be doing? Own the self-serve existing business book. Own the remit end to end - from the moment a customer converts to the point they renew, expand, or leave - and be accountable for the net growth of that book. Grow Fin adoption. Get more customers using our AI Agent across the existing base, and help the customers who already use it automate more of their support. Defend and expand. Build the retention and expansion motions that grow the book - combining in-product experiences, lifecycle messaging, and a data/signal layer that flags which accounts need attention and when. Connect self-serve and sales. Design smooth, well-defined handovers between self-serve and sales in both directions, so the right customers get the right motion. Fix the key journeys. Partner with core product teams to remove friction on the journeys that matter most to self-serve customers - onboarding and activation, Fin setup and go-live, plan changes and expansion, billing and plan management. Land new products & features. Drive attach and adoption of new products & features across the self-serve base. Understand the customer. Deeply understand the customers you're serving through research, data, and direct interactions, and turn that understanding into a clear, prioritised roadmap you communicate to build alignment. Build and ship. Collaborate with engineers and designers to ideate, build, and ship solutions, and leverage AI to increase your efficiency and accelerate product development. Measure impact. Evaluate impact through quantitative and qualitative measures, own product quality, and model our company values and R&D principles in how you lead. What skills do I need? There is no minimum years of experience, and no need to have held the PM title. We care about your impact, drive, and potential - former founders, strategy & operations leaders, and consultants are as welcome as career PMs. The common thread is end-to-end ownership of a problem and the outcomes that follow. We'll be looking for evidence you've applied and grown these skills: Growth and lifecycle expertise. You've owned retention, expansion, adoption, or monetisation for a self-serve or product-led business, and you know how to move those numbers. Sharp customer focus and problem framing. You get to the real customer problem through research, data, and direct conversations before deciding what to build. Strong data fluency. You're comfortable working with funnels, cohorts, and customer signals to find opportunity, size it, and measure impact - and you make decisions from evidence, not instinct. Compelling roadmaps. You build and communicate a roadmap that makes the what, when, and why obvious to everyone who needs to align behind it. Excellent product judgment. You balance customer needs, business impact, and technical constraints, and you know what to ship now versus later. Cross-functional leadership. You drive outcomes across product, design, engineering, data, lifecycle marketing, CS, and sales - influencing teams you don't own. AI fluency. You understand how LLMs and AI agents work well enough to assess feasibility, make informed product decisions, and use AI to accelerate your own work. Outcome-oriented. You define success clearly, share progress openly, and hold yourself to measurable impact. #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: Dublin, Ireland Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? Self-serve is where the majority of our customers start their journey, and the Growth team owns that journey end to end. This role owns the self-serve existing business : once a customer converts to paid, the account is yours - through every stage of its lifecycle, as it adopts more of the platform, grows its usage, and deepens its reliance on Fin. Your mandate is to grow the value of the self-serve base: drive expansion, strengthen retention, and accelerate adoption of Fin and our newest products across thousands of paying customers. You'll own a book of business, a roadmap, and a cross-functional motion that spans product, lifecycle, data, and go-to-market. It's a rare Growth remit with a clear number to move and a lot of room to build the motions that move it. What will I be doing? Own the self-serve existing business book. Own the remit end to end - from the moment a customer converts to the point they renew, expand, or leave - and be accountable for the net growth of that book. Grow Fin adoption. Get more customers using our AI Agent across the existing base, and help the customers who already use it automate more of their support. Defend and expand. Build the retention and expansion motions that grow the book - combining in-product experiences, lifecycle messaging, and a data/signal layer that flags which accounts need attention and when. Connect self-serve and sales. Design smooth, well-defined handovers between self-serve and sales in both directions, so the right customers get the right motion. Fix the key journeys. Partner with core product teams to remove friction on the journeys that matter most to self-serve customers - onboarding and activation, Fin setup and go-live, plan changes and expansion, billing and plan management. Land new products & features. Drive attach and adoption of new products & features across the self-serve base. Understand the customer. Deeply understand the customers you're serving through research, data, and direct interactions, and turn that understanding into a clear, prioritised roadmap you communicate to build alignment. Build and ship. Collaborate with engineers and designers to ideate, build, and ship solutions, and leverage AI to increase your efficiency and accelerate product development. Measure impact. Evaluate impact through quantitative and qualitative measures, own product quality, and model our company values and R&D principles in how you lead. What skills do I need? There is no minimum years of experience, and no need to have held the PM title. We care about your impact, drive, and potential - former founders, strategy & operations leaders, and consultants are as welcome as career PMs. The common thread is end-to-end ownership of a problem and the outcomes that follow. We'll be looking for evidence you've applied and grown these skills: Growth and lifecycle expertise. You've owned retention, expansion, adoption, or monetisation for a self-serve or product-led business, and you know how to move those numbers. Sharp customer focus and problem framing. You get to the real customer problem through research, data, and direct conversations before deciding what to build. Strong data fluency. You're comfortable working with funnels, cohorts, and customer signals to find opportunity, size it, and measure impact - and you make decisions from evidence, not instinct. Compelling roadmaps. You build and communicate a roadmap that makes the what, when, and why obvious to everyone who needs to align behind it. Excellent product judgment. You balance customer needs, business impact, and technical constraints, and you know what to ship now versus later. Cross-functional leadership. You drive outcomes across product, design, engineering, data, lifecycle marketing, CS, and sales - influencing teams you don't own. AI fluency. You understand how LLMs and AI agents work well enough to assess feasibility, make informed product decisions, and use AI to accelerate your own work. Outcome-oriented. You define success clearly, share progress openly, and hold yourself to measurable impact. #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: USA Workplace: remote Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users, agents, or scale. We help midsize and large organizations run customer workflows in the AI era. Headquartered in Boston, MA, with a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA. We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports. In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture. Who We’re Looking For: The Delivery Success Executive (DSE) owns an assigned portfolio of customers and is accountable for both successful delivery and long-term commercial growth. The role combines portfolio management and delivery governance with deep product expertise and a clear commercial mandate: retention and expansion. As trusted advisors, DSEs use expert-level knowledge of the Creatio platform to validate approaches, guide best practices, and ensure every solution is aligned with customer needs, and delivering measurable business value. The role is based in USA, remote. Responsibilities: - Product Expertise: Serve as a product knowledge carrier for the assigned portfolio, demonstrating expert-level understanding of the Creatio platform and its ecosystem. - Proactively advise customers and partners on optimal solution approaches and platform capabilities. - Help customers achieve their desired business outcomes through strong product adoption, value realization, and high ROI. - Portfolio & Project Management: Own an assigned portfolio of customers, overseeing their implementation projects and ongoing engagements. - Monitor progress, risks, and dependencies across projects to ensure alignment with agreed standards and commitments. - Delivery Governance & Assurance: Enforce delivery standards, methodologies, and reporting frameworks across the portfolio. - Control and audit delivery processes, identifying early red flags to prevent delivery and launch-related issues. - Conduct portfolio-level reviews to validate outcomes, quality, and readiness for go-live. - Risk & Solution Oversight: Work closely with Delivery Assurance Architects to validate both technical and functional aspects of solutions. - Identify risks across the portfolio and drive mitigation strategies. - Knowledge & Best Practices: Capture lessons learned, integrate them into the Center of Delivery Excellence framework, and mentor team members and partners. - Customer Success & Commercial Growth: Develop a deep understanding of customers' business priorities and proactively identify opportunities to support their long-term success. - Grow the customer portfolio through strong retention, zero churn, and active cross-sell and upsell. - Collaborate closely with internal Sales, Delivery, Support, Product, and Partner teams to ensure a consistent customer experience. - Customer & Partner Engagement: Act as the key contact and trusted advisor for customer executives across the assigned portfolio, communicating effectively with stakeholders at every level, including C-level. - Provide portfolio-level visibility and transparency through governance meetings and reporting. Requirements: - Proven experience in program/portfolio management across multiple projects. - 3+ years in B2B Customer Success, Account Management, or Project Management with enterprise accounts. - Proven track record of driving adoption and value realization, and supporting retention and account growth (renewals, cross-sell, upsell). - Deep Creatio platform expertise (functional and technical) and knowledge of competing low-code/no-code platforms. - Ability to conduct high-level solution estimations and guide teams in applying best practices. - Strong client-facing and stakeholder management skills, including communication at CxO level. - Ability to navigate complex customer organizations, coordinate multiple stakeholders, and drive issues to resolution. - Structured thinking, flexibility, and strong result orientation. - Fluent English (required); additional languages may be required based on geography. Nice to have: experience taking part in commercial negotiations and renewal discussions. Ability to travel for customer meetings and onsite engagements as needed. What you should expect from us: Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential. Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally. Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one. Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve. Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.

Location: Paris; Amsterdam; London; Lausanne Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE Mistral AI is seeking Applied Scientists and Research Engineers focused on tabular data. You will design, train, and deploy SOTA models that understand, query, and reason over structured data, and apply them to diverse use cases. Working cross-functionally with both external and internal science, engineering, and product teams you will deliver high-impact AI solutions. We are made of researchers, engineers, product builders, ex-founders who love tackling the most complex real world problems in the industry. WHAT YOU WILL DO - Run pre-training, post-training and deploy state of the art models on clusters with thousands of GPUs. - Generate and curate datasets of tables, spreadsheets and databases, and build evaluators and benchmarks for table understanding, text-to-SQL, and prediction on tabular data. - Develop the necessary tools and frameworks to facilitate data generation, model training, evaluation and deployment. - Collaborate with cross-functional teams to tackle complex use cases. - Manage research projects and communications with client research teams. ABOUT YOU - Fluent in English with excellent communication skills — at ease explaining complex technical concepts to both technical and non-technical audiences. - Expert with PyTorch or JAX. - Experience training or fine-tuning large language models, or tabular foundation models (e.g. TabPFN). - Strong background in machine learning on tabular data, including classical baselines (e.g. gradient boosting), and comfortable with SQL, pandas, and messy real-world data. - Not afraid of contributing to a big codebase; finds their way around independently with little guidance. - Writes clean, readable, high-performance, fault-tolerant Python code. - Doesn’t need roadmaps: moves independently and navigates uncertainty with confidence. - Low-ego, collaborative and eager to learn. - Track record of success through personal projects, professional projects or academia. NICE TO HAVE - Ex-founder or builder - PhD / Master in a relevant field (Computer Science, Statistics, Machine Learning) — exceptional candidates from other backgrounds welcome. - Experience with text-to-SQL, table question answering, or spreadsheet agents. - Experience with reinforcement learning using verifiable rewards (e.g. query execution). - Experience working on large code bases or large machine learning models at scale. - Contributions to a large open-source or industry codebase. - Publications in top academic journals or conferences. - Enjoys improving existing code: typing, tests, CI pipelines. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: United States Workplace: remote About Welocalize  Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.   Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com  Job Description Summary   In this exciting position, the Multimedia Content Reviewer will be responsible for writing, adapting, reviewing, and evaluating a wide range of linguistic and multimedia content in Brazilian Portuguese, ensuring the highest standards of linguistic accuracy, cultural relevance, and overall quality for customers using the world's foremost multimedia platforms.  The role combines creative and editorial expertise with analytical and quality evaluation skills, covering traditional localization work as well as emerging content types, including AI-generated content, linguistic annotation, and structured content evaluations.  With time, the Multimedia Content Reviewer will become the cultural ambassador for their language market and will be expected to produce fully localized content, flag potential cultural issues, and articulate suggestions to make all content appropriate and relevant for the target market.  The ideal candidate possesses a background in journalism, editorial content, copywriting, or a related field, has proven creative writing skills, and a keen attention to detail. They should also demonstrate strong critical thinking, sound editorial judgment, and the flexibility to navigate different workflows, guidelines, and content evaluation methodologies.  In addition, we're seeking candidates who are passionate about music, film, sports, gaming, and technology, and have a knack for iOS and macOS devices. Main Duties Localize, translate, and adapt content of various categories (i.e. multimedia, legal, technical, marketing, sports, entertainment, health and wellness, and other digital content) while adhering to writing style guides and project-specific guidelines. Write new copy for a range of multimedia products such as music, TV, film, sports, apps, video on-demand, game subscription services, and more. Copy-edit and fact-check content to ensure accuracy, clarity, consistency, and cultural relevance. Perform LQA (Localization QA) testing of content published on live platforms (music and app descriptions, marketing material, and marketing campaigns). Evaluate human-written and AI-generated content for linguistic accuracy, fluency, relevance, consistency, and adherence to project-specific quality standards. Perform linguistic annotation, content classification, and structured evaluation tasks using predefined guidelines, rating scales, and quality criteria. Identify and document errors, inconsistencies, and quality issues, providing clear, actionable feedback and supporting rationale for evaluation decisions. Conduct market-specific research on local content treatment, audience preferences, cultural nuances, product and terminology trends, and best localization practices for the target audience. Report on data and/or assets across a broad scope of media and content types, ensuring accuracy, consistency, and compliance with project requirements. Collaborate with global language teams via virtual meetings and email on content review tasks to align on terminology, style, quality standards, evaluation criteria, and market-specific insights. Requirements BS/BA and 2+ years of work experience in journalism, copywriting, editing, digital media, content production, or a related field. Experience in translation and localization of multimedia content or demonstrated experience adapting content for Brazilian audiences. Native-level proficiency in Brazilian Portuguese, with excellent grammar, writing, editing, and linguistic judgment skills. Ability to quickly detect issues and inconsistencies across large volumes of content and make sound judgment calls based on the information at hand. Ability to interpret and consistently apply detailed guidelines, rating scales, and evaluation frameworks across different projects. Familiarity with AI-generated content, linguistic annotation, content evaluation, or data quality assessment is a plus. Is in tune with and has a wide range of knowledge of music, film, TV, sports, gaming, technology, and Brazilian pop culture. Has the ability to own linguistic quality for the Brazilian Portuguese market and make confident linguistic decisions. Must be highly detail-oriented with the ability to multitask, prioritize, and meet deadlines. Fluency in written and verbal English. Strong computer literacy; knowledge of iOS/macOS systems is a plus. Ability to work independently and remotely. Collaborative; enjoys teamwork in a multicultural environment and is open to feedback, calibration, and continuous learning.

-Проектирование и разработка LLM-сервисов и API (REST/gRPC) для интеграции с внешними системами. -Создание и оптимизация RAG-пайплайнов и систем гибридного поиска для повышения качества и точности ответов.

Location: Hybrid; In-Office About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin, London, or San Francisco (Hybrid) About the team Search engines spent two decades learning what the web is worth: which pages are fresh, which sources are trusted, what people actually use. That knowledge came from watching how humans moved through the web. Agents break that loop. AI models are trained and grounded on the web, but they have little visibility into what's changed, what's authoritative, or what's been fabricated. Site owners have it worse: AI crawlers already request content anywhere from a hundred to tens of thousands of times for every visitor they send back, and most have no idea how, or whether, they show up in AI answers. Both sides of the market are flying blind. Cloudflare sits in front of around 20% of the web and sees both sides of that exchange. Our team, the Agentic Internet team, is focused on making the web readable, discoverable, callable, and payable, built on open standards so no single company owns the rails. Signals & Data Products turns our network's view into products both sides can use: helping AI labs know what's fresh and trustworthy, and helping site owners see and shape how they show up in AI. Cloudflare believes in the open Internet, and we're in a position to help build the future where it thrives. Come help us make it happen! You can read more about some of our plans here and here . What you'll do Drive the strategy for Signals, our web intelligence feed, and shape where our data products go next Define what makes a signal worth paying for (freshness, provenance, trust, real-world usage) using data from Cloudflare's network Build for both sides of the market: data products for AI labs, and visibility for site owners into how AI models find, use, and cite them Explore what comes next, from knowledge graphs to measuring how sites show up in AI answers Deliver product specifications, prototypes, product positioning, and high-impact launches Partner with Engineering, Data Science, Research, and GTM to ship at high velocity Work with Partnerships and BD on data partnerships with AI labs and other large buyers Represent the product externally with users, customers, AI labs, developers, and more What we're looking for 7+ years as a technical PM, with experience shipping data, search, ranking, or ML products Deep data fluency: you can reason about data quality, coverage, bias, and pipelines Experience building or selling data products or APIs (licensing, pricing, enterprise contracts) is a strong plus A builder: you get things done, can move quickly, and prefer 'show' over 'tell' A strong communicator who is comfortable with ambiguity Team oriented: you'd rather get it right than be right How we work At Cloudflare, performance is about outcomes (what you did) and behaviors (how you did it). We value curiosity, humility, empathy, and doing the principled thing. Learn more about our values on our Careers page . Why this role You'll be building a new product category from a vantage point no one else has, on a fast-moving team breaking new ground. You can read about our early research here . Compensation Compensation may be adjusted depending on work location. For Bay Area based hires: Estimated annual salary of $179,000 - $224,000 Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

RELOCATION TO MONTENEGRO OR REMOTE | PREQUEL We’re looking for a Senior iOS Developer to join the Prequel team and take ownership of features end-to-end – from clarifying requirements with Product, Design, and Analytics to designing the technical solution, estimating and breaking down tasks, implementation, stabilization, and release.

Location: Poland - Remote Location: Poland, Remote Employment Type: Full-time, B2B Contract Compensation: PLN 12,000–22,000 net + VAT per month About PubNub PubNub powers real-time interactive experiences that drive engagement, retention, and monetization. Our market-leading platform for real-time interactive apps enables customers to efficiently and effectively build, manage, and optimize engaging apps that captivate and delight users. Founded in 2012, PubNub is backed by notable investors like The Raine Group, Sapphire, Scale, Relay, Cisco, Bosch, Ericsson, and HPE. To date, over 2,000 companies worldwide, including Amazon, RingCentral, Gameloft, and DAZN, choose PubNub to build and enhance large-scale apps that launch quickly to engage, monetize, and retain users. At PubNub, you’ll enjoy the freedom of a remote-first environment paired with a collaborative culture designed to support your unique work style, so you can do your best work. About the Role We're looking for a Senior GTM Engineer to build the AI-powered tools, automations, and integrations that help PubNub's go-to-market teams operate more effectively. This is a hands-on engineering role combining software development, AI agents, automation, and business systems integration. You'll work across Marketing, Growth, Sales, and Customer Success, translating operational challenges into reliable technical solutions. You'll take ownership of projects from discovery and prototyping through production deployment, helping teams reduce repetitive work, improve data quality, accelerate execution, and make better-informed decisions. Success means delivering production-ready tools and automations that are adopted by teams and create measurable business impact. Key Responsibilities Design, build, deploy, and maintain AI-powered tools, agents, and workflow automations for go-to-market functions. Develop internal applications and integrations that improve prospecting, account research, lead enrichment, campaign execution, and customer intelligence. Partner with business stakeholders to understand workflows, identify bottlenecks, and prioritise engineering opportunities. Build and maintain integrations with CRM, marketing automation, analytics, and other business systems. Develop and maintain web-based applications and website infrastructure that support Marketing and Growth initiatives. Use LLM APIs, AI coding assistants, and agent-based development workflows to accelerate engineering productivity. Ensure solutions are maintainable, reliable, secure, and suitable for production use. Measure tool adoption, operational efficiency, and business outcomes, iterating based on stakeholder feedback. About You Minimum Requirements Strong professional software engineering experience, ideally involving full-stack development, internal tools, automation, or growth engineering. Hands-on experience with JavaScript or TypeScript and modern web frameworks such as React or Next.js. Strong experience working with APIs, system integrations, and data-driven applications. Practical experience building AI-powered applications, agents, or automations using LLM APIs. Experience taking applications from prototype to production, including testing, deployment, maintenance, and troubleshooting. Ability to understand business problems and independently translate requirements into working technical solutions. Strong ownership, problem-solving, and cross-functional collaboration skills. Strong English communication skills and the ability to work with technical and nontechnical stakeholders. Nice to Have Experience integrating Salesforce, marketing automation, or revenue operations platforms. Familiarity with AI coding assistants such as Claude Code or Cursor. Experience maintaining CMS-driven websites or marketing technology. Familiarity with developer-focused SaaS products, API platforms, or agent-based workflows. Experience developing reusable internal AI tools or agent skills. Why PubNub At PubNub, you'll help power real-time experiences used by millions around the world. What sets us apart is our people-first culture and strong sense of collaboration. Our team values the opportunity to contribute meaningfully, grow their skills, and help build innovative, high-impact technology. We offer competitive B2B compensation and the flexibility of a remote-first environment. We're committed to fostering collaboration, professional growth, and opportunities to make a meaningful impact. In this role, you'll have the opportunity to build practical AI solutions, own meaningful projects end to end, and work closely with teams that directly benefit from your engineering contributions. Ready to Make an Impact? If you're excited about building real-world AI solutions, automating complex workflows, and applying engineering to business challenges, we'd love to hear from you. Join us and help shape how PubNub uses AI and automation across its go-to-market operations. Information Accuracy Candidates are expected to provide accurate, complete, and truthful information throughout the application and hiring process. Any material misrepresentation or omission may affect employment eligibility.

Location: Poland - Remote Location: Poland – Remote Employment Type: Full-time, B2B Contract Compensation: PLN 12,000–22,000 net + VAT per month (B2B) About PubNub PubNub powers real-time interactive experiences that drive engagement, retention, and monetization. Our market-leading platform for real-time interactive apps enables customers to efficiently and effectively build, manage, and optimize engaging apps that captivate and delight users. Founded in 2012, PubNub is backed by notable investors like The Raine Group, Sapphire, Scale, Relay, Cisco, Bosch, Ericsson, and HPE. To date, over 2,000 companies worldwide, including Amazon, RingCentral, Gameloft, and DAZN, choose PubNub to build and enhance large-scale apps that launch quickly to engage, monetize, and retain users. At PubNub, you’ll enjoy the freedom of a remote-first environment paired with a collaborative culture designed to support your unique work style, so you can do your best work. About Blocks.ai Blocks.ai is a new initiative being built by PubNub, focused on connecting AI agents with the people, applications, and other agents that need to reach them. The team combines early-stage product ownership and experimentation with PubNub's infrastructure and engineering expertise. This role is part of PubNub and is dedicated to Blocks Network. About the Role We're looking for a technically hands-on Developer Advocate to help developers discover, build with, and successfully adopt Blocks.ai. You'll work at the intersection of engineering, developer education, community engagement, and product feedback. From building AI agents and sample applications to creating tutorials, engaging with technical communities, and supporting developer adoption, you'll play an important role in growing the Blocks.ai ecosystem. You'll collaborate closely with Product, Engineering, and Growth to make the platform more accessible and useful for developers and enterprise technical teams. Success in this role means enabling more developers to build and connect working AI agents, increasing engagement with the platform, and turning developer feedback into practical improvements. Key Responsibilities Build working AI agents, demos, sample applications, and reusable templates that demonstrate real-world Blocks.ai use cases. Create technical tutorials, articles, videos, workshops, and developer education materials. Engage with developers through GitHub, Discord, technical forums, community events, and hackathons. Help developers troubleshoot integrations and successfully connect agents, applications, and services. Identify onboarding friction and provide actionable feedback to Product and Engineering, including reproduction steps and improvement recommendations. Collaborate on documentation, SDKs, APIs, and developer tooling improvements. Support technical workshops, demos, and developer discussions with prospective enterprise customers. Track developer engagement, successful integrations, active agents, and ecosystem adoption. About You Minimum Requirements Experience in Developer Relations, Developer Advocacy, Software Engineering, or a similar developer-facing technical role. Strong hands-on programming experience in Python, TypeScript, or another relevant language. Practical experience building AI agents, LLM-powered applications, or integrations using APIs and frameworks. Experience creating technical content, developer demos, workshops, or sample applications. Ability to explain complex technical concepts clearly to developers with different experience levels. Strong problem-solving skills and a developer-first mindset. Experience collaborating with Engineering and Product teams to improve developer experiences. Strong English communication and presentation skills. Nice to Have Familiarity with MCP, agent-to-agent communication, or multi-agent architectures. Experience with emerging AI-agent frameworks and tools. Contributions to open-source projects or developer communities. Experience supporting technical evaluations, integrations, or enterprise developer adoption. Why PubNub At PubNub, you'll help power real-time experiences used by millions around the world. What sets us apart is our people-first culture and strong sense of collaboration. Our team values the opportunity to contribute meaningfully, grow their skills, and help build innovative, high-impact technology. We offer competitive B2B compensation and the flexibility of a remote-first environment. We're committed to fostering collaboration, professional growth, and opportunities to make a meaningful impact. With Blocks.ai, you'll also have the opportunity to help shape an emerging AI-agent platform, influence developer experience, and build a technical community from an early stage. Ready to Make an Impact? If you're passionate about AI agents, love building technical solutions, and enjoy helping developers succeed, we'd love to hear from you. Join us and help grow the developer ecosystem around Blocks.ai. Information Accuracy Candidates are expected to provide accurate, complete, and truthful information throughout the application and hiring process. Any material misrepresentation or omission may affect employment eligibility.

Location: Bangalore, India GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Senior Backend Engineer on Development Health, you'll help make the systems that engineering teams rely on more reliable, maintainable, and easier to extend. You'll build and improve the automation, tooling, and data that help teams spot problems early and ship with less friction. As customer zero for GitLab, we support engineering workflows on GitLab's own product at scale. You'll use the product in demanding, real-world ways, surface the friction and gaps you find, and contribute to improvements that get built into the product for GitLab's customers. You'll support work such as: Health alerting and remediation routing for GitLab's core continuous integration and continuous delivery (CI/CD) pipelines Flaky and slow test detection systems Engineering analytics and reporting that engineering teams use to make decisions What you’ll do Own and evolve core Development Health systems, from design through production. Improve the reliability, maintainability, and test coverage of long-lived automation, and reduce reliance on undocumented knowledge by documenting and simplifying legacy systems. Partner with engineering managers and product teams to identify workflow pain points and turn them into well-scoped, measurable improvements. Work with data to show whether changes improve engineering health, and use it to prioritize. Mentor intermediate engineers through code review, design feedback, and pairing. Communicate clearly in writing and asynchronously, including status, tradeoffs, and proposals for stakeholders across Engineering. Monitor the health of production systems, troubleshoot incidents, and contribute to root cause analysis. Use artificial intelligence (AI) agents and assistants to analyze issues and problem areas to help shape the team's product roadmap. Take part in on-call or operational support where your team’s ownership model requires it. What you’ll bring Substantial experience as a backend or tooling engineer, with a track record of owning production systems end to end. Strong proficiency in Ruby, or the ability to become productive quickly. Experience maintaining or modernizing legacy codebases safely. Comfort with CI/CD systems, application programming interfaces (APIs), and automation at scale. Independent problem-solving and clear, concise written communication: you spot problems early, raise risks proactively, and drive work to completion without close direction. Experience writing automated unit and integration tests and taking part in collaborative code review. Experience using AI coding assistants to speed up development while critically reviewing their output. Optional experience: Rails; developer productivity, engineering analytics, or internal tooling; GitLab's product and open source contribution workflow; data pipelines or metrics reporting; or agent-based workflows that run in production. About the team Development Health is part of Developer Experience. Our work is mostly internal, and our customers are GitLab team members across an engineering organization of hundreds of engineers. We're all-remote, asynchronous by default, and documentation-driven, in line with GitLab's values of collaboration, results, efficiency, diversity, inclusion and belonging, iteration, and transparency. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: San Francisco, CA Workplace: OnSite ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT THE ROLE We're hiring an experienced Performance Marketer to own and scale paid search and emerging AI advertising channels at LangChain, starting with Google Ads, Bing (Microsoft Advertising), and ChatGPT. You'll own the entire paid acquisition experience, from developing channel strategy and building campaigns to optimizing landing pages, improving conversion rates, and driving qualified pipeline. This is a highly hands-on role. You'll be the person building campaigns, analyzing performance, testing creative, improving landing pages, and identifying new opportunities to scale. We're looking for someone who combines deep paid search expertise with a willingness to experiment with emerging advertising platforms. You should be comfortable managing significant budgets, making data-driven investment decisions, and connecting advertising performance to downstream pipeline rather than just clicks, leads, or conversions. WHAT YOU'LL OWN PAID ACQUISITION STRATEGY AND PIPELINE - Own the strategy across Google Ads, Bing, and ChatGPT advertising, with the opportunity to expand into additional AI-native advertising channels. - Develop channel-specific strategies based on audience intent, available targeting capabilities, and expected pipeline contribution. - Own budget allocation, forecasting, and performance against pipeline targets. - Balance investment across branded, non-branded, competitor, and product-specific campaigns, along with emerging AI advertising opportunities. - Identify opportunities to scale high-performing campaigns and build repeatable playbooks for new channels. - Develop testing roadmaps across audiences, messaging, bidding, conversion experiences, and new advertising formats. END-TO-END CAMPAIGN EXECUTION You'll own campaign execution across all three channels: - Google Ads: Build, launch, and manage campaigns across branded, non-branded, competitor, and product search, including keyword research, match types, negative keywords, bidding, and budget optimization. - Bing / Microsoft Advertising: Develop and manage campaigns tailored to Microsoft's search audience, identifying opportunities to extend reach and capture incremental high-intent demand. - ChatGPT advertising: Develop and execute an early advertising strategy, testing available placements, audience approaches, messaging, and conversion experiences as the platform evolves. - Creative and messaging: Write and test ad copy in partnership with Product Marketing, adapting messaging to each channel and its user intent. - Experimentation: Run structured tests to improve acquisition efficiency, traffic quality, and pipeline conversion. - Campaign operations: Own campaign setup, tracking validation, launch readiness, troubleshooting, and day-to-day optimization. PAID CONVERSION EXPERIENCE AND WEBSITE OPTIMIZATION - Own the website conversion experience for traffic acquired through Google, Bing, and ChatGPT. - Build and optimize dedicated landing pages for paid acquisition campaigns using Webflow or similar tools. - Develop and execute A/B tests across landing page messaging, layouts, CTAs, and forms. - Identify friction across the full user journey, from ad interaction to product sign-up, demo request, or meeting booking. - Optimize conversion paths for both developers exploring LangSmith and enterprise buyers evaluating commercial solutions. - Partner with Marketing Operations to improve form conversion, qualification, routing, and meeting booking. - Ensure landing page experiences reflect the user's intent and context across different advertising channels. MEASUREMENT, REPORTING, AND OPTIMIZATION - Own performance reporting across spend, traffic, conversions, qualified leads, meetings, opportunities, and pipeline. - Develop channel-specific measurement frameworks for Google Ads, Bing, and ChatGPT based on their available reporting and conversion capabilities. - Partner with Marketing Operations to connect advertising conversion signals with HubSpot and Salesforce data. - Optimize established search channels toward downstream pipeline signals, including offline conversion tracking where supported. - Establish a testing and measurement approach for emerging channels where attribution and optimization capabilities may be less mature. - Analyze performance across channels, audiences, campaigns, and landing pages to identify where to invest, optimize, or reduce spend. CROSS-FUNCTIONAL PARTNERSHIP - Partner with Product Marketing to translate positioning into search campaigns, AI advertising messaging, and landing page experiences. - Work closely with Web and Design on landing page development and conversion experimentation. - Collaborate with Marketing Operations on tracking, attribution, CRM integrations, and reporting accuracy. - Align with Demand Generation on product launches, campaign priorities, budget allocation, and pipeline targets. WHAT WE'RE LOOKING FOR - 5–11 years in performance marketing, paid search, or B2B growth marketing, ideally in developer tools, infrastructure, or technical SaaS. - Deep hands-on expertise in Google Ads and experience managing Microsoft Advertising. - Proven experience personally building, launching, and optimizing paid search campaigns. - Strong understanding of campaign architecture, keyword intent, bidding strategies, negative keywords, and search budget optimization. - Experience testing new advertising platforms or emerging acquisition channels. Curiosity about AI-native search and advertising is important. - Strong experience with conversion rate optimization, landing page development, and A/B testing. - Experience managing meaningful budgets and optimizing toward qualified pipeline and revenue outcomes. - Strong analytical skills and fluency in CPC, CVR, CPL, cost per opportunity, pipeline contribution, and attribution. - Working knowledge of Google Ads, Microsoft Advertising, GA4, Google Tag Manager, HubSpot, Salesforce, and Flint/Webflow. - Comfortable with technical products and developer audiences. - A strong experimentation mindset and willingness to build new programs without an established playbook. - Comfortable with ambiguity and true ownership. COMPENSATION We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Salary Range: $165,000-$190,000 COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: San Francisco, CA Workplace: OnSite ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT THE ROLE We're hiring an Integrated Campaigns Manager to own how LangChain brings our biggest narratives to market through integrated, multi-channel campaigns and webinars programs that generate awareness, engagement, and pipeline globally. You'll partner closely with Product Marketing, Solutions, Industry Marketing, and Thought Leadership to translate messaging, customer stories, and content into full-funnel campaigns. From defining the campaign strategy and channel mix to building landing pages, launching webinars, coordinating promotion, and optimizing conversions, you'll own execution from start to finish. You'll be responsible for connecting the dots across channels, audiences, and regions, ensuring we're not just launching individual tactics but building cohesive campaigns that move prospects through the funnel. We're looking for someone who is equally comfortable developing a campaign strategy and getting into the details of execution. You should know how to turn an idea into a live campaign, measure what's working, and continuously optimize to drive pipeline. WHAT YOU'LL OWN GLOBAL INTEGRATED CAMPAIGN STRATEGY AND PIPELINE - Build and own global integrated campaign plans across our core product, solutions, industry, and thought leadership narratives. - Partner with Product Marketing, Solutions, Industry Marketing, and Thought Leadership to translate positioning and content into campaigns with clear audiences, messaging, channels, and conversion goals. - Develop full-funnel campaign strategies that connect awareness and education to demand capture and pipeline generation. - Define campaign goals, audience segmentation, channel investments, and success metrics, with accountability for campaign-sourced and influenced pipeline. - Partner with regional demand generation and field marketing teams to adapt global campaigns for NAMER, EMEA, and APAC markets. - Build repeatable campaign playbooks and identify opportunities to scale successful programs across regions. END-TO-END CAMPAIGN EXECUTION You'll own the campaign from initial concept through launch, optimization, and reporting, and be hands-on throughout. - Integrated campaigns: Build and execute multi-channel campaigns across email, paid media, organic social, webinars, third-party promotion, and sales outreach. - Webinars and virtual programs: Own end-to-end webinar execution, including programming strategy, speaker coordination, promotional planning, registration and attendance optimization, and post-event follow-up. Programs may include thought leadership webinars, product education, live demos, and industry-specific sessions. - Campaign assets and landing pages: Partner with content, design, and web teams to develop campaign assets and landing pages, ensuring consistent messaging and compelling conversion paths. - Lifecycle: Partner with lifecycle marketing to develop segmented nurture programs, audience journeys, and follow-up campaigns that move prospects from initial engagement toward sales opportunities. - Paid and digital: Partner with performance marketing on audience targeting, paid promotion, retargeting, campaign creative, and conversion strategies. - Sales activation: Build campaign enablement and outreach plays with sales and SDR teams to turn engagement into meetings and opportunities. CONVERSION OPTIMIZATION AND CAMPAIGN PERFORMANCE - Own campaign conversion performance across landing pages, webinar registrations, content downloads, and other campaign conversion points. - Identify friction across the customer journey and develop experiments to improve conversion rates and lead quality. - Optimize campaign messaging, creative, targeting, offers, and CTAs based on performance. - Track campaign effectiveness across engagement, MQLs, meetings, opportunities, and pipeline. - Partner with Marketing Ops to ensure proper campaign tracking, attribution, and reporting. - Translate performance insights into recommendations on where to invest, what to improve, and what to scale. CROSS-FUNCTIONAL PARTNERSHIP - Work directly with Product Marketing and content marketing to understand product positioning, launches, and messaging priorities and translate them into global campaign strategies. - Identify compelling narratives, customer proof points, and campaign opportunities with cross-functional partners. - Partner with regional and field marketing teams to ensure global campaigns are relevant to local audiences and sales priorities. - Work closely with Performance Marketing, Lifecycle, and Marketing Ops to build coordinated programs across channels. - Collaborate with Sales and SDR teams on campaign activation, account targeting, and follow-up strategies that drive pipeline. - Own campaign planning, timelines, stakeholder alignment, and execution to ensure campaigns launch successfully. WHAT WE'RE LOOKING FOR - 5–11+ years of experience in B2B demand generation, integrated campaigns, or growth marketing, ideally in developer tools, infrastructure, AI, or technical SaaS. - Proven experience building and executing multi-channel integrated campaigns, with measurable pipeline or revenue outcomes. - You've personally built and launched campaigns, including landing pages, email programs, webinars, promotional plans, and nurture journeys. - Strong understanding of full-funnel campaign strategy, audience segmentation, channel orchestration, and conversion optimization. - Experience running end-to-end webinar and virtual event programs, from planning and promotion to follow-up and performance analysis. - You're comfortable translating technical product messaging and thought leadership into campaigns that resonate with both technical practitioners and enterprise decision-makers. - Strong analytical skills and fluency in funnel conversion, MQLs, cost per opportunity, campaign attribution, and pipeline contribution. - Experience working across global and regional marketing teams, balancing consistent campaign messaging with local market needs. - Working knowledge of modern marketing tools such as HubSpot, Salesforce, Goldcast, Zoom Webinar, and Google Analytics. - Strong project management skills with the ability to coordinate multiple stakeholders, prioritize competing initiatives, and launch campaigns on schedule. - You're a builder. You can develop the strategy, write the copy, build the landing page, launch the campaign, pull the report, and optimize based on the results. - Comfortable with ambiguity, fast-moving environments, and true end-to-end ownership. COMPENSATION We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Salary Range: $165,000-$190,000 COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Задачи: вести команду разработки в области Agentic AI с использованием платформы V Synapse Service Mesh. Требования: опыт работы с Golang, Kubernetes, микросервисами, искусственным интеллектом, машинным обучением, генеративным ИИ, LangChain и LangGraph. Условия: гибридный формат работы. Компания: Сбер Банк — крупнейший российский финансовый конгломерат, предоставляющий широкий спектр банковских услуг для частных лиц, малого бизнеса и корпоративных клиентов.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Platform Intelligence turns each new Claude model's abilities into API features that developers can build on. Our goal is to make the full intelligence of each model available through the API. We own the capabilities that shape what Claude can do for developers: tool use, built-in tools such as web search and code execution, thinking controls, structured outputs, and the memory, files, and skills APIs. We also run the API side of every Claude model launch, including its safety features and controls. That means getting the API ready for each new model, coordinating with research, safeguards, product, and cloud partners, and making sure the model, its features, the SDKs, and the docs all ship together on launch day. The work sits where research meets product. We work with new models before they are public. When a model gains a new ability, we work out what it should look like as an API, build it, and ship it to developers on our own platform and on cloud platforms. Those decisions shape how developers first use each model. We also own API versioning and the evals that tell us a capability works in production. What you'll do You'll lead the design, build, and operation of API capabilities used by developers around the world. You'll work with research to understand what a new model can do and turn that into an interface that is simple, durable, and hard to misuse. You'll lead the API side of new model launches. You'll plan the work, track readiness across teams, resolve the issues that come up late, and see the launch through on the day. Between launches, you'll make the next one faster and safer. You'll set technical direction for work that spans several teams, write clear design proposals, review API designs from other teams, and mentor engineers on the team. Representative projects Lead API readiness for a Claude model launch, so that every feature works on day one across our API, SDKs, docs, and cloud partners Take a new model ability from research prototype to public API feature, from interface design to production rollout Build and operate tools such as web search and code execution under real traffic Automate the manual parts of a model launch Build the evals that catch a capability regression before a launch You might be a good fit if you: Have led technical projects that spanned several teams, from design through launch and operation Have designed and operated production distributed systems where correctness, latency, and availability all matter Have strong product sense and care about API design and developer experience Make sound technical decisions with incomplete information, as models and priorities change close to a launch Explain tradeoffs clearly to research, product, and go-to-market partners, including non-engineers Make the engineers around you better through design review and mentoring Use AI tools as a regular part of how you design, build, and review software Care about the societal impacts of your work and Anthropic's mission to build safe, beneficial AI Strong candidates may also have: Building public APIs, SDKs, or developer platforms Working with large language models, including tool use, agents, or evals Running launches or migrations with fixed deadlines and many dependent teams Building tools for agents, such as search or code execution Storage, memory, or context systems at scale Integrating with cloud platforms such as AWS, Google Cloud, and Azure Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Chicago, IL or Remote CCC Intelligent Solutions Inc. (CCC) is a leading cloud platform for the multi-trillion-dollar insurance economy , creating intelligent experiences for insurers, repairers, automakers, part suppliers, and more. At CCC, we’re making life just work by empowering more than 35,000 businesses with industry-leading technology to get drivers back on the road and to health quickly and seamlessly. We’re pushing boundaries with innovative AI solutions that simplify and enhance the claims and repair journey. Through purposeful innovation and the strength of its connections, CCC technologies empower the people and industry relied upon to keep lives moving forward when it matters most. Learn more about CCC at www.cccis.com . The Role As a Senior Machine Learning Engineer, you'll own models and evaluations end to end within a problem area and turn the results into product decisions. You'll join a new engineering group at CCC building AI-native products for our auto casualty business, the injury side of auto claims. The group is small and senior, and it's growing fast. Our teams work on: Medical bills: AI products that help claims teams handle the medical bills on injury claims accurately and efficiently. Claims decision support: products that help claims professionals make better, faster decisions on injury claims. Agentic Rules Platform: the rules engine and agentic tooling behind decisions across our casualty products, plus the evaluation infrastructure every team relies on. Your impact: You'll show, with evidence, whether our AI works and whether it's worth it. You'll build models on real claims data, design the evaluations that compare our AI with expert decisions, and measure the impact customers see. Most of our products run on large language models, so you'll combine statistical modeling with LLM evaluation and write the production code to ship both. Salary range is: $180,000 - 225,000 This position is bonus eligible. Key Responsibilities: Build and ship statistical, ML, and hybrid LLM models (including retrieval and embeddings) on real claims data Design evaluations and gold datasets with data labelers and subject matter experts, and run them continuously as the product changes Measure impact through experiment design, baselines, and ROI analysis, and explain the results clearly to product, sales, and customers What success looks like: In your first month , you've run your first evaluation on real data and shared what you found. By six months , you've shipped a model or evaluation to production, and a product decision was made on evidence you produced. Requirements: Typically 5+ years of experience in machine learning, data science, or quantitative engineering roles A strong quantitative foundation (statistics, probability, experiment design) from a degree, research, or equivalent experience Strong Python and SQL, and a track record of taking models to production and measuring how they perform Hands-on experience with both statistical ML and LLM-based approaches (RAG, embeddings, vector search), including evaluating LLM outputs Real experience working faster with AI-assisted tools, with examples you can walk us through Nice to have Causal inference, survival analysis, or calibration methods applied to business decisions Experience fine-tuning models for domain-specific tasks Interview Policy & Privacy Notice: A video interview is required for this position. Video interviews are transcribed. Transcriptions are retained and may be reviewed by CCC and our recruiters. Candidates are not permitted to use generative AI or automated assistance during the interviews unless explicitly allowed by the interview team for a specific exercise. Our Job Applicant Privacy Notice is available HERE . About CCC's Commitment to Employees: CCC Intelligent Solutions understands that our employees play an integral role in our vision to shape a world where life just works. Our team is defined by our values of Integrity, Customer-Focus, Innovation, Inclusion & Diversity, Tenacity, and Connection. Through diverse perspectives, purposeful innovation, and the strength of connections, our technologies empower the people and industry relied upon to keep lives moving forward when it matters most. At CCC, together everyone can thrive as we innovate and collaborate, creating employee experiences that just work. We are committed to providing opportunities for our people to make real-life impacts, advance in their careers, and contribute to CCC’s success. CCC offers competitive compensation and benefits to support you and your families, including: 401K Match Paid time off Annual Incentive Plan Performance Bonus Comprehensive health insurance Adoption Assistance Tuition Reimbursement Wellness Programs Stock Purchase Plan options Employee Resource Groups For more information about our benefits, please check out our careers site . Here, you belong. You are seen, valued, and respected. We celebrate you for who you are and all you bring. Every voice is heard and is important to our success. You can hear what employees have to say about our culture here

Location: Chicago, IL or Remote CCC Intelligent Solutions Inc. (CCC) is a leading cloud platform for the multi-trillion-dollar insurance economy , creating intelligent experiences for insurers, repairers, automakers, part suppliers, and more. At CCC, we’re making life just work by empowering more than 35,000 businesses with industry-leading technology to get drivers back on the road and to health quickly and seamlessly. We’re pushing boundaries with innovative AI solutions that simplify and enhance the claims and repair journey. Through purposeful innovation and the strength of its connections, CCC technologies empower the people and industry relied upon to keep lives moving forward when it matters most. Learn more about CCC at www.cccis.com . The Role As a Senior AI Engineer, you'll own agents end to end within a problem area, from the first prototype to measured performance in production. You'll join a new engineering group at CCC building AI-native products for our auto casualty business, the injury side of auto claims. The group is small and senior, and it's growing fast. Our teams work on: Medical bills: AI products that help claims teams handle the medical bills on injury claims accurately and efficiently. Claims decision support: products that help claims professionals make better, faster decisions on injury claims. Agentic Rules Platform: the rules engine and agentic tooling behind decisions across our casualty products, plus the evaluation infrastructure every team relies on. You'll build the AI agents behind our products. They work with complex documents and claim data, call tools, and support claims experts in their daily work. You'll own the orchestration, retrieval, evaluations, and guardrails that make them safe to rely on, and you'll write the production code to ship them. Salary range is: $180,000 - 225,000 This position is bonus eligible. Key Responsibilities: Design and build LLM-powered agents and workflows: orchestration, tool use, retrieval, structured extraction, and human-in-the-loop review Build evaluations with data labelers and subject matter experts, and run them on every change Make agents production-grade: guardrails, observability, cost and latency, and careful handling of sensitive health data What success looks like: In your first month, you've shipped a measured improvement to an existing agent. By six months, an agent you built is in production with customers, backed by evaluation results. Requirements: Typically 5+ years of professional software or ML engineering experience, including meaningful recent work with LLMs Strong production engineering skills in Python, including API services, and comfort working in TypeScript At least a year of shipping LLM-powered products to real users, including retrieval (RAG, embeddings, vector search) and prompt engineering Experience designing evaluations for non-deterministic systems, and the habit of measuring before and after every change A quantitative mindset: you're comfortable with metrics, sampling, error analysis, and knowing when a result is real Real experience shipping faster with AI-assisted or agentic engineering tools, with examples you can walk us through Nice to have: Document understanding, OCR, or extraction from complex documents Experience fine-tuning LLMs or working with multimodal data Interview Policy & Privacy Notice: A video interview is required for this position. Video interviews are transcribed. Transcriptions are retained and may be reviewed by CCC and our recruiters. Candidates are not permitted to use generative AI or automated assistance during the interviews unless explicitly allowed by the interview team for a specific exercise. Our Job Applicant Privacy Notice is available HERE . About CCC's Commitment to Employees: CCC Intelligent Solutions understands that our employees play an integral role in our vision to shape a world where life just works. Our team is defined by our values of Integrity, Customer-Focus, Innovation, Inclusion & Diversity, Tenacity, and Connection. Through diverse perspectives, purposeful innovation, and the strength of connections, our technologies empower the people and industry relied upon to keep lives moving forward when it matters most. At CCC, together everyone can thrive as we innovate and collaborate, creating employee experiences that just work. We are committed to providing opportunities for our people to make real-life impacts, advance in their careers, and contribute to CCC’s success. CCC offers competitive compensation and benefits to support you and your families, including: 401K Match Paid time off Annual Incentive Plan Performance Bonus Comprehensive health insurance Adoption Assistance Tuition Reimbursement Wellness Programs Stock Purchase Plan options Employee Resource Groups For more information about our benefits, please check out our careers site . Here, you belong. You are seen, valued, and respected. We celebrate you for who you are and all you bring. Every voice is heard and is important to our success. You can hear what employees have to say about our culture here

Location: San Francisco; New York City In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people and teams adopt Perplexity and Computer on their own, and the Growth team owns the loops that turn that adoption into lasting usage and revenue. We're hiring a Growth GTM Engineer to build the systems that turn product usage into revenue and turn self-serve usage into enterprise pipeline. You'll turn first-party Computer and Enterprise usage into account-level signals. You'll ship the in-product paths that capture sales intent, and build and validate those signals with data science. Alongside product engineers, you ship production code, instrument the product and run experiments. You'll partner closely with Revenue Operations, who own Salesforce, CPQ, routing and sales reporting. Tech Stack: TypeScript | Next.js | React | Python | PostgreSQL | Snowflake | Eppo | AWS WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Build account-level PLG signals: map users and workspaces to accounts, and define the activation, expansion and intent signals that predict an enterprise deal. Publish them as trusted models that sales use for scoring and routing. - Own the in-product paths from self-serve to sales, like contact-sales entry points, high-intent upsells and meeting booking, across web and app. Decide who sees them, when and with what context, and measure them end to end, from surface to booked meeting to pipeline. - Lead experiments end to end on sales-assist surfaces and targeting, from hypothesis and instrumentation through analysis and rollout. Partner with Data Science to measure meetings and qualified opportunities, not just clicks. - Build the internal tools and automation Growth and GTM teams run on - Partner closely with Sales, Sales Systems, Data Science, Marketing and Product to turn product signals into pipeline. Be upstream partner to sales systems that own Salesforce, CPQ and routing QUALIFICATIONS - 2+ years as a growth, GTM, data or full-stack engineer, shipping production code (TypeScript/React, Python). - Strong SQL and comfort building data models in a warehouse (Snowflake, dbt-style). - Experience instrumenting product events and running A/B experiments end to end. - Commercial instinct: you start from a revenue problem ("trial-to-enterprise conversion won't move") and work back to the signal or surface that fixes it. - Comfort with REST APIs, webhooks and integrating third-party GTM tools. - Operator mindset: you talk to customers directly, ship fixes, and don't need a PM to translate requests. NICE TO HAVE - Experience in a PLG-to-enterprise motion: product-qualified leads, scoring users into accounts, sales-assist flows. - Experience as a GTM or growth engineer at a B2B SaaS or GTM-tooling company. - Entity resolution, dedup or domain enrichment. - Familiarity with Salesforce, Default, Chili Piper, Intercom, Clay, Hightouch/Polytomic or similar (as a consumer and integrator, not an admin). - Experience building LLM-powered internal tools or agents.