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$105 - $140/hourpayLegalContract Review & NegotiationCase AnalysisRisk AssessmentCorporate LawRegulatory ComplianceLitigation SupportLegal ResearchDue DiligenceDispute ResolutionConfidentiality & EthicsAbout micro1micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI. Job Title: Legal Specialist Job Type: Contractor Location: Remote Job Summary: Join our customer's team as an expert Legal Specialist, where your expertise will play a pivotal role in shaping robust legal solutions. You will collaborate closely with domain experts and product teams to review, negotiate, and analyze contracts, ensuring legal compliance and risk management in a dynamic, application-driven environment. Key Responsibilities: • Conduct thorough contract review, drafting, and negotiation to optimize business outcomes while managing risk., • Analyze cases and perform in-depth legal research to provide actionable insights and recommendations., • Support litigation and dispute resolution by preparing documentation and assisting internal and external counsel., • Assess regulatory compliance and assist with due diligence for corporate matters, mergers, and acquisitions., • Design system prompts and rubrics for legal applications, engaging in multi-turn conversations with agents to ensure task accuracy and coherence., • Uphold the highest standards of confidentiality and professional ethics in all legal processes and communications., • Collaborate across teams to build and enhance legal tools or applications, leveraging your industry expertise. Required Skills and Qualifications: • Proven expertise in legal principles, corporate law, and regulatory compliance., • Strong contract review and negotiation abilities across a variety of legal domains., • Demonstrated experience in case analysis, risk assessment, and due diligence., • Hands-on experience in litigation support and dispute resolution., • Exceptional written and verbal communication skills, with a keen attention to detail and clarity., • Deep commitment to confidentiality, ethics, and integrity in all legal matters., • Track record of building or contributing to legal applications, tools, or systems. Preferred Qualifications: • Experience designing legal-focused conversational agents, rubrics, or AI-driven workflows., • Background in developing digital legal solutions or productizing legal expertise., • Ability to manage complex multi-turn conversations and system prompt design.

Job DescriptionTravel Manager Midtown, New York On Target First-Year Earnings: $150,000 ($100k base + $50k uncapped bonus, generated from commission on member spend and multiplier from personal contribution to Aurora's growth) Meaningful early equity In office with flexible remote days About Aurora Aurora is the AI-Native Lifestyle Operating System for human flourishing in a world of AI slop, inefficiency, and noise. We believe that time is the only currency that matters. So, we're on a mission to help you make the most of every minute of your life. Stronger connections with your family and friends. Experiences and adventures that transform who you are. Building the perfect physical and mental temple of health. Consumer technology was supposed to give us leverage. To make it easier to find the right restaurant, the right trip, the right doctor. Instead, every major platform today is optimized against the person using it: more scrolling, more ads, more engagement loops. You have infinite choice and zero clarity. We exist to reverse that. Aurora takes millions of data points about you and about the world and finds the one thing that is right for you, at the right time. Our members — needle-moving tier-1 founders, executives, and athletes — use Aurora to navigate travel, health, dining, experiences, and premium goods with the kind of judgment that used to require a team of people who'd known you for years. Over half use it every single day, 95% every week, and in our first 6 months, member spend & engagement is outperforming industry benchmarks by 5×. Aurora is backed and chaired by Alex Macdonald, the most successful founder in this category, and has raised >$5M from experienced operators and tier-1 investors. We are now expanding the Member Experience Team as we scale the product and the member base. Aurora is built in person from our offices in London, New York, and Los Angeles, with flexible remote days. The Aurora Travel Manager Fed up with outdated systems (email, SMS, WhatsApp, Salesforce) and slow-moving bureaucracy? Looking to scale your knowledge, network, and ambition while helping build a global product? Want hands-on exposure to next-generation product and AI - and meaningful equity ownership in a multi-billion-dollar opportunity? Excited to work alongside a team of ultra-high-performance, founder-type operators? Our core team of 20 is seeking a full-time Travel Manager to join Aurora’s Member Experience Team. In this role, you’ll work directly with our founding travel team and our proprietary AI operating system, Astra, to shape and elevate Aurora’s global member experience - with a primary focus on delivering exceptional, high-touch travel for our members. What you’ll do Deliver high-touch travel execution for a global, ultra-high-performance membership base Own functions across travel, lifestyle, product, and operations - building rare, compounding career capital based around travel Develop and manage partnerships with top-tier industry operators and insider contacts Participate in a minimum of two high-budget FAM trips, deepening on-the-ground knowledge and expanding Aurora’s global network This role reports directly to Aurora’s Co-Founder & COO and has clear potential to grow rapidly into a leadership position spanning Travel, Member Experience, Business Operations, and Growth. Our team operates on structured, shared shifts across London, New York, and Los Angeles, enabling true 24/7 service for a global clientele. If you’re looking for ownership, velocity, and the chance to help define the future of premium travel and lifestyle management, this role is designed for you. Our Principles We’re a team of tier-1 backed and exited operators united our five core principles: • We seek truth, • We are high-leverage, • We are courageous, • We are owners, • We believe impossible is an attitude Why Aurora: High Leverage Service the world’s most ambitious individuals and organizations - empowering them to compound their time, relationships, and global impact. Cutting-Edge AI Take advantage of technology. Work hands-on with a next-generation AI system redefining travel & lifestyle management at the highest level, spanning context, recommendation, orchestration, and execution, allowing you to spend more time curating and less time copy and pasting. Generationally Defining Play a foundational role in building the future of travel & lifestyle management - a $100bn opportunity at the intersection of technology, travel, and longevity. About the Founders Aurora was founded in 2024 by: • Jonah Lowenstein, previously backed by leading investors and operators behind Facebook, Spotify, and Venmo, • Aurelius Zwick, founded his first business at 16 years old and won the UK's largest young entrepreneurship competition at 17 years old, • Dmitry Ogurtsov, 15 years experience building foudnational architecture - previously former Director of Engineering at Workbounce, a conversational AI company acquired by ZoomInfo Aurora's first investor and chairman is Alex Macdonald, founder of premium digital concierge Velocity Black, acquired by Capital One for $300M. To date we've raised >$5M from Tier-1 investors and operators, including the founder of Cleo, Quadpay, early investors in Supercell and Deliveroo, the President of VistaJet, and tier-1 athletes from the Premier League and NBA, including Kevin Love and Kyle Kuzma. Requirements Key Responsibilities: • Work alongside our AI operating system, Astra, to curate and flawlessly execute exceptional travel experiences for Aurora’s global membership base, • Build and manage relationships with top-tier travel partners, including boutique hotels, ultra-luxury resorts, private charter providers, premium DMCs, niche insider operators, elite destination specialists, and private accommodation suppliers, • Contribute to building Aurora's operational infrastructure: owning travel & lifestyle functions end-to-end, spanning systems building, operational execution, and core commercial workflows, • Attend high-touch FAM trips, expanding your on-the-ground knowledge and strengthening Aurora’s global hospitality and insider network, • Contribute to member servicing across Aurora’s core verticals, deepening your expertise in longevity & wellness, experiences & entertainment, luxury goods & gifts, and dining, • Procure and operationalize unique insights into global travel trends, destinations, and high-end hospitality, ensuring Aurora consistently stays ahead of market knowledge and member expectations, • Provide front-line intelligence and feedback to product and engineering, helping shape and evolve Aurora’s proprietary AI systems and overall product quality Who You Are: • 2+ years’ experience servicing high-performance individuals in luxury or bespoke travel, • Deeply passionate about curating exceptional travel, from bespoke adventure itineraries to ultra-private, premium escapes, • Frustrated by outdated tools and slow bureaucracy - you want to build and operate with modern systems and high velocity, • Motivated to scale your knowledge, network, and impact, contributing to a global business you genuinely own a piece of, alongside other ultra-high-performance entrepreneurs, • Courageous by nature, with a firm belief that “impossible” is an attitude - and that rapid progression and outsized rewards follow exceptional work, • An owner at heart: you proactively drive projects end-to-end and don’t stop until the objective is fully achieved, • Eager to expand your mastery of the premium lifestyle ecosystem, spanning dining, experiences, wellness, and luxury goods, • Prepared for a high-intensity role, with the stamina and standards required to serve the world’s highest performers at an exceptional level Benefits • Allocated FAM days with a sizable budget, and access to industry events, • Competitive salary with uncapped performance-based bonus, • Outsized customer referral incentives, • Founding stock options package, • Flexible remote days, • Organized site visits to top hotels for continual property knowledge development, • Lifestyle access perks and access to exclusive events & Aurora services, • Whoop or Oura Ring on us, • $2,000 annual education budget, • Longevity subscription, • Whatever tech you need to do your best work, • Generous parental leave, • Comprehensive health benefits, with 90% coverage, including dental and vision

Job Description We are seeking a Customer Success Manager to drive retention, expansion, and long-term value across multi-unit restaurant groups and hospitality operators. You will own the post-sale customer lifecycle, ensuring successful deployment, strong adoption, and measurable ROI from Palona’s Conversational AI platform. This role is highly strategic and revenue-oriented—you’ll partner with operators to transform how high-volume restaurants answer calls, take orders, and engage guests, while expanding Palona’s footprint across locations and use cases. We’re looking for someone who builds credibility quickly with operators and executives, thrives in startup environments, and consistently delivers clear, data-backed outcomes for customers. Role Overview The ideal candidate has experience working with multi-unit restaurant operators, franchisees, and hospitality executives. You will own the customer relationship post-sale, collaborating closely with Sales, Product/Engineering, and AI specialists to ensure customers realize value and expand over time. Your goal is to help Palona AI become the most trusted AI partner in the restaurant industry. Responsibilities • Own the post-sale lifecycle: onboarding, implementation, adoption, renewal, and expansion, • Build relationships with key stakeholders across:, • C-Suite (CEO, COO), • VP-level / Operations leaders, • GMs and franchise owners, • Translate operator goals and challenges (e.g., missed calls, staffing constraints, operational challenges) into measurable business outcomes and ROI, • Drive multi-location rollouts and expansion opportunities across brands and markets, • Partner with Sales to support renewals and identify upsell opportunities, • Collaborate with Product & Engineering to resolve issues and prioritize high-impact enhancements, • Deliver QBRs / EBRs with clear performance insights and strategic recommendations, • Represent Palona at industry events, customer meetings, and executive briefings, • Ensure a seamless feedback loop from customers into product and GTM strategyOutcomes You’ll Own, • Net Revenue Retention (NRR) and expansion across enterprise restaurant accounts, • Fast, successful deployments with strong time-to-value, • Increased adoption and usage across locations and teams, • Measurable customer impact:, • Revenue lift (conversion, AOV), • Improved automation, • Operational efficiency gains, • Expansion from pilot → regional → enterprise-wide rollout Required: • 4–8 years of experience in Customer Success, Account Management, or Operations within B2B SaaS, • Experience working with multi-unit restaurants, franchise groups, or hospitality operators, • Proven track record of driving retention, expansion, and customer outcomes, • Experience in early-stage or high-growth startup environments requiring ownership and adaptability, • Strong understanding of the restaurant technology ecosystem (POS, reservations, call centers, etc.), • Customer-first mindset with a focus on driving outcomes, not just managing relationships, • Ability to translate product performance into clear business value and ROI, • Background in restaurant technology, • Experience with AI, automation, or voice/vision technology, • Experience scaling accounts across multi-location, multi-market deployments, • Strong ability to influence product and GTM strategy through customer insights, • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k, IRA), • Life Insurance (Basic, Voluntary & AD&D), • Paid Time Off (Vacation, Sick & Public Holidays), • Family Leave (Maternity, Paternity), • Short Term & Long Term Disability, • Training & Development, • Work From Home, • Free Food & Snacks, • Stock Option Plan

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. As a Forward Deployed AI Engineer on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, architect custom AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a hands-on technical role that combines deep engineering expertise with customer-facing problem solving. You'll work directly with customer engineering teams to integrate AI into their critical workflows. • Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements, • Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs), • Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows, • Deploy and configure AI models and agents within customer security and compliance boundaries, • Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation, • Architect multi-agent systems that orchestrate between different models, tools, and data sources, • Implement evaluation frameworks to measure agent performance and iterate toward business objectives, • Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement, • Create sophisticated prompt engineering strategies optimized for customer-specific domains and data, • Build and maintain prompt libraries, templates, and best practices for customer use cases, • Conduct systematic prompt experimentation and A/B testing to improve model outputs, • Implement RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines where appropriate, • Serve as the primary technical point of contact for strategic enterprise accounts, • Collaborate with customer data scientists, ML engineers, and software developers to ensure smooth integration, • Provide technical training and knowledge transfer to customer teams, • Work closely with Scale's product and engineering teams to translate customer needs into product improvements, • Document technical architectures, integration patterns, and best practices, • Debug complex technical issues across the entire stack, from data pipelines to model outputs, • Rapidly prototype solutions to unblock customers and prove out new use cases, • Stay current on the latest AI/ML research and tools, bringing innovative approaches to customer problems, • Identify opportunities for productization based on common customer patterns, • 4+ years of software engineering experience with strong fundamentals in data structures, algorithms, and system design, • Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API), • Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure, • Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions, • Deep understanding of LLMs including prompting techniques, embeddings, and RAG architectures, • Experience building and deploying AI agents or autonomous systems in production, • Knowledge of vector databases and semantic search systems, • Experience with containerization (Docker, Kubernetes) and CI/CD pipelines, • Experience using Terraform, Bicep, or other Infrastructure as Code (IaC) tools, • Previous work in a devops, platform, or infra role, • Proven ability to work with customers in a technical consulting, solutions engineering, or product engineering role, • Domain expertise in verticals like finance, healthcare, government, or manufacturing For a global professional services firm, we developed a sophisticated deep research agent to assist in due diligence. This agent employs a multi-agent architecture for robust fact-checking, integrates several internal MCP tools, and processes complex, unstructured data sources. This solution reliably saves employees hundreds of hours weekly. Working with a TelCo organization, we built a model utilizing customer data to predict churn likelihood. The system then curates personalized offers based on this prediction. This model was integrated into a "next best action" copilot, enabling call center agents to proactively surface relevant offers to customers, leading to a significant reduction in churn. We partnered with a healthcare organization to create a lifelike voice agent and avatar designed to gather unstructured health information from patients. Engineered for low latency, the agent adeptly manages conversational flow, adheres to safety guardrails, and efficiently handles data extraction. This automation saves the organization's nurses hundreds of hours each week. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$180,000—$225,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram. At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance. Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do. Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5. You deploy Deepgram’s voice AI platform into complex restaurant environments and make it work in the real world. This role sits at the intersection of engineering, product, and customer systems, partnering closely with customer leadership and technical stakeholders to bring ambitious deployments to life. You embed with enterprise restaurant brands and restaurant technology partners, learn their systems deeply, and integrate our platform into the core of their operations. Along the way you write code, debug production issues, and adapt the platform to real world constraints. You operate as a trusted technical partner to both customer leadership and engineering teams, ensuring deployments move quickly and deliver meaningful business outcomes. You turn real world deployments into leverage for the entire platform by identifying patterns across customers, shaping product improvements, and building the tooling, reference architectures, and playbooks that make each new deployment faster, more reliable, and easier to scale across large restaurant fleets and technology ecosystems. The mission of this role is to ensure every enterprise deployment of Deepgram for Restaurants works like magic — technically flawless and delivering measurable value from day one. This role is based in New York City, where many of our customers and partners are located. Being close to them helps us move quickly and stay connected to their needs. While the role is based in New York City, this would still be a remote-first opportunity, as we do not have an office local to the area. This role also includes up to 50% travel to meet with customers, support sales engagements, and participate in key onsite interactions * Customer engineering partnership: Embed with customer engineering teams as a trusted technical peer. Lead technical discovery and solutioning for prospects and customers. * Technical integration and deployment: Own the end-to-end technical implementation of Deepgram’s voice AI platform for enterprise customers — from scoping and architecture through go-live and optimization. * Configuration and customization: Adapt and configure Deepgram’s platform to meet each customer’s unique operational requirements — menu structures, ordering flows, POS integrations, edge cases, and everything in between. * Production excellence: Monitor, troubleshoot, and resolve technical issues in live deployments. Serve as an escalation point for complex technical issues when necessary. * Deployment infrastructure leadership: Codify patterns into tools, playbooks, reference architectures, and building blocks the broader team can use for other deployments and customers. * Feedback loop to product and engineering: Translate real-world deployment challenges into actionable requirements for Deepgram’s product and engineering teams. You are the voice of the customer inside the building. * You are hands-on. You write code, read logs, and ship fixes — you don’t just coordinate. When a customer has a technical problem, you roll up your sleeves and solve it. * You operate with extreme ownership and urgency. You treat every customer deployment as if your name is on the product. * You partner closely with Sales, Product, and Engineering, but you are just as comfortable on a customer’s Slack channel walking their team through an API integration. * Technical depth: You are an excellent software engineer. You are comfortable working across APIs, SDKs, webhooks, cloud infrastructure, and customer tech stacks. You use AI coding tools to move fast and multiply your output. * Customer obsession: Deep, personal commitment to your customers’ technical success. You take their problems home with you. You are not satisfied until the deployment is bulletproof. * High slope: Learns fast, adapts quickly, and stays effective in ambiguity without needing constant structure. You figure things out and move forward. You are excited to get your hands dirty solving gritty technical problems over sexy ones. * Communication and trust: Able to build deep credibility with both technical and non-technical stakeholders on the customer side. You are calm under pressure and relentlessly reliable. * Experience with voice AI, speech-to-text, NLP, or conversational AI systems. * Previous early-stage startup or founder-led environment experience — you thrive in environments where you wear many hats and build from zero. * Previous experience embedded within a large enterprise customer’s product deployment. * Medical, dental, vision benefits * Annual wellness stipend * Mental health support * Life, STD, LTD Income Insurance Plans * Unlimited PTO * Generous paid parental leave * Flexible schedule * 12 Paid US company holidays * Quarterly personal productivity stipend * One-time stipend for home office upgrades * 401(k) plan with company match * Tax Savings Programs * Learning / Education stipend * Participation in talks and conferences * Employee Resource Groups * AI enablement workshops / sessions *For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible. Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you! Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. We are happy to provide accommodations for applicants who need them.

📍 Locations: San Francisco (Hybrid), New York (Hybrid), or Remote (US) We’re growing our Support team and are seeking a seasoned Enterprise Support Engineer with deep API expertise, strong technical judgment, and a proven track record of supporting complex customer environments. This role is designed for someone who knows how to navigate ambiguity, manage high-stakes situations, and communicate clearly with stakeholders ranging from developers to executives. At ReadMe, Support is not simply reactive. Our Enterprise Support Engineers are trusted partners to our customers -- helping them maintain world-class developer documentation, optimize their integrations, and confidently scale their use of our platform. You look beyond individual tickets to understand systemic issues, advocate internally for customers, and proactively improve the overall customer experience. We're a small team of humans (and___) working together to do big things — and that’s where you come in. In this role you’ll have a transformational impact on ReadMe across both the trajectory of the business and our thriving culture. 🦉 What we do ReadMe helps more than 5,000 leading startups and tech companies build beautiful, personalized, and interactive developer hubs. If you’ve ever visited the developer docs for PagerDuty, Samsara, or Nvidia, you’ve used ReadMe! We love what we do because it’s so much more than just documentation. We’re providing tools for teams to build a better developer experience and make their products and APIs easier to use. We’ve got great support from our investors at Accel who led our___, and___ reflects the open, caring, and whimsical culture we want to maintain as we scale. * Serve as a primary technical point of contact for enterprise customers. * Deliver timely, accurate, and highly professional support across multiple channels (In-App Messenger, forums, social, feature boards, and escalations). * Troubleshoot complex API, authentication, CI/CD, and front-end implementation issues. * Partner cross-functionally with Engineering, Product, and Customer Success to advocate for customer needs. * Identify patterns in support cases and proactively recommend product or process improvements. * Draft clear, executive-ready communications during escalations or incident scenarios. * File detailed bug reports, provide reproducible test cases, and contribute technical fixes when appropriate. * Contribute to and elevate internal and external documentation. * You have significant experience supporting enterprise or high-growth SaaS customers. * You remain calm and structured during high-priority or time-sensitive situations. * You can confidently say “no” or reset expectations while preserving trust. * You communicate complex technical concepts clearly to both technical and non-technical audiences. Technical Skills * APIs and API debugging * Swagger / OpenAPI specifications * OAuth, SAML, and SSO authentication flows * Git and CI/CD troubleshooting * Front-end technologies (HTML, CSS, JavaScript) * Markdown * Chrome Developer Tools * CLI environments * npm packages and modern JavaScript ecosystems * Leveraging AI tools (e.g., Claude, ChatGPT) in debugging workflows - with strong judgment and verification * Diagnosing performance, configuration, and integration issues Support Skills * You have a structured investigation and root-cause analysis process. * You follow through on every issue and ensure closure. * You identify recurring friction points and advocate for systemic improvements. * You’re proactive, detail-oriented, and accountable. * You understand metrics (SLAs, CSAT, time to resolution) and consistently perform at a high level. * You enjoy turning high-stakes or frustrated customers into long-term advocates. * You can operate independently while collaborating cross-functionally. * You want to help shape enterprise-grade support at a growing company. * You’re excited to have real impact at an early-stage but scaling startup. * Build relationships with Support, Engineering, Product, and Success teams. * Deeply learn ReadMe’s product architecture, features, and customer use cases. * Train on our support tools and internal processes. * Begin troubleshooting and resolving real customer issues. * Understand our SLAs, escalation paths, and support performance metrics. * Confidently manage enterprise-level customer conversations. * Develop a strong command of OpenAPI and advanced implementation patterns. * Identify product gaps and contribute meaningful feedback to Engineering. * Own complex investigations from intake to resolution. * Strengthen internal documentation and knowledge-sharing processes. * Be recognized as a ReadMe product expert. * Serve as a trusted technical advisor to key customers. * Help shape support processes as we scale. * Contribute significantly to reducing friction across the customer journey. * Play a key role in maintaining the high standard of enterprise support that defines ReadMe. * Create a ReadMe project, it’s free for 14 days with no credit card required! * Explore ReadMe and create a page in your project to show us who you are and why you want to join our team! * Share the URL in the "Website" field as part of your application. * We can’t wait to read your resume and (hopefully personality-filled) ReadMe project! Let us know what excites you about the role, and help us get to know you better! * If we think we might be a good fit for you, we’ll set up a 30-minute Zoom call with Jesse Yowell, our Head of Support! We’ll tell you more about the role, and get a chance to hear about your experiences. * Next will be a take home project and 30-minute conversational interview with one of our Enterprise Support Engineers to assess your troubleshooting skills. * Then we’ll invite you to an "onsite" interview conducted over Zoom! You’ll get to meet everyone on the support team, members from other ReadMe teams, and dig a little more into your technical skills! * We’ll let you know how things went within a week! If it still seems like a good fit all around, we’ll extend you an offer! If not, we will update you to let you know so you aren’t left hanging. * Unlimited PTO with a three-week minimum. 🏖️ * Fully covered medical, dental, and vision insurance for you, and 100% for your dependents. 🩺 * A One Medical membership. 🧑‍⚕️ * A gym or fitness stipend of up to $150 per month. 🏋️‍♀️ * One-to-one donation matching of up to $1,000 per year. 💸 * Twelve weeks of paid parental leave after the birth or adoption of a child. 🐣 * Hybrid work. 🏠 * Three offsite retreats per year to get together with coworkers and plan for the quarter ahead. ✈️ * Take a look at our___ for more information on our benefits! 📘 Not sure if you’d be the right fit? Apply anyway! We’d love to see your application. At ReadMe, we’re committed to cultivating a diverse and inclusive workplace. We welcome people of all different backgrounds, experiences, abilities, and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work. We'd love to have you come join us here! ReadMe is open to hiring folks fully remote in the US, hybrid, or in-person at our New York or San Francisco HQ.

At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite. Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform. The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world. * Co-architect and co-build production AI agents with customer engineering teams * Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations * Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows * Advise customers post-sale on architecture, best practices, and roadmap-level decisions * Run technical demos, trainings, and workshops for developer audiences * Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers * Occasionally contribute code upstream when it meaningfully improves customer outcomes * 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up * Strong Python, JavaScript and systems fundamentals * Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling * Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations * Can explain technical tradeoffs clearly and build trust with developer audiences * Take responsibility for outcomes, not just recommendations * Have a bias toward action and enjoy figuring things out as you go * Are excited about operating AI agents in production, not just building demos * You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks * Worked with LLM evaluation, observability, or guardrails * Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts * Have shipped and operated production software and are comfortable owning systems under real-world constraints We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like 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. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. Annual OTE range: $150,000–$250,000 USD

We are looking for a Senior Software Engineer excited about shaping the future of developer tooling. At Coder, you will have the opportunity to explore, design, and implement the next generation of developer tools that seamlessly integrate into developers' workflows while maintaining enterprise-grade security. What you'll do here * Design and build product features that push the standard for remote development in self-hosted environments * Create and improve upon popular open source projects that integrate with VS Code, JetBrains, and other developer tools * Champion best practices to both internal team members and external contributors * Collaborate with Product and Design teams at Coder, as well as with partners like JetBrains, to execute key product integrations * Document the design, implementation, and operations of systems for knowledge sharing within the team * Work alongside Customer Success teams to support Coder’s enterprise user base * Work with cutting-edge AI technologies to create seamless, painless developer experiences * Rapidly iterate from prototype to implementation in a highly adaptive, reactive team environment What we're looking for * Currently based in the United States or Canada * 5+ years of full-stack experience writing code in a professional setting, with 3+ years being in Go * Proficiency in building distributed systems in Go * Excellent verbal and written communication skills * Exceptional debugging and troubleshooting skills, and the tenacity to drive a solution to a conclusion * You are self-motivated with a creative and analytical mindset Our tech stack * Frontend: Typescript, React, Vite * Backend: Go, Postgres, GCP, Kubernetes, gRPC * IDE Extensions: Typescript, Kotlin * Observability: Prometheus, Grafana * CI/CD: GitHub Actions * General: GitHub, Slack, Discord, Notion Bonus tacos if you have * (Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!) * Experience with TypeScript and React * You have a background in developer tooling, platform engineering, or IaC * You have a curiosity about the latest tech trends and what is going on in the world of developer tools Coder is an AI software development company leading the future of autonomous coding. We empower teams to build software faster, more securely, and at scale through the collaboration of AI coding agents and human developers. Our mission is to make agentic AI a safe, trusted, and integral part of every software development lifecycle. Our self-hosted Cloud Development Environment (CDE) is the foundation for deploying agentic AI in the enterprise. It provides a secure, standardized, and governed workspace to deploy autonomous coding agents alongside human developers, accelerating innovation while maintaining control and compliance. Coder's isolated, policy-driven environments improve productivity, cut cloud costs, and reduce data risks. Developers transition to AI at their own pace using their own tools. Platform and security teams can govern, audit, and manage a great developer experience at scale. We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and leadership. As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.

About Kustomer Kustomer is the industry leading conversational CRM platform perfecting every customer experience. Built with intelligent tools such as AI and Automation, no code-configuration and a connected data platform that unifies data from multiple sources through a single timeline, Kustomer empowers businesses to operate with greater efficiency and deliver more personalized service to customers across any channel, making every interaction more meaningful and memorable. Today, Kustomer is the core platform for some of the leading customer service brands like Sweetgreen, Starz, Vuori, Resy and Cotopaxi. Kustomer was founded in 2015 by serial entrepreneurs Brad Birnbaum and Jeremy Suriel and has raised over $230M in funding backed by leading VCs. Meta announced its intention to acquire Kustomer in 2020 and completed the transaction in 2022. Kustomer joined Meta’s Business Messaging Group to transform the way people and businesses communicate through modern messaging channels. In 2023, Kustomer spun out from Meta as a standalone company backed by original partners, Battery, Redpoint and Boldstart Ventures, who have invested $60M. In 2025, Kustomer announced a $30M Series B led by Norwest, with continued support from Battery, Redpoint, and boldstart. This milestone reflects strong conviction in our vision and fuels our next chapter of growth: expanding our AI-native platform, accelerating product innovation, and scaling our exceptional team. Our Krew is made up of passionate and collaborative people who really care about what they do and the people they help. We look for people who are passionate about enhancing the customer service experience for everyone involved, as it's the core of what we do. We're growing our business with no plans of slowing down. We actively seek individuals who want to learn and be challenged every day. We have also transitioned to a remote friendly company, with Krew members located throughout the U.S. and U.K. coming together for Kamp Kustomer each year. About the Role If you've ever thought "We could build much faster with AI" than this role is for you. You will lead the blueprint for AI driven development across our engineering organization, transforming our tooling so our engineers can ship high quality, reliable code faster than ever before. Kustomer has taken products like ___ from ideation to production in 3 months, rolled out AI-powered end to end testing across the company in just 3 weeks, and prototyped what is now ___ in a matter of hours. We move quickly without sacrificing trust or quality; using AI to validate, test, and scale what we build. This team exists to replicate that velocity across all of engineering with this new team. As the founding engineer on this team where you’ll define what great looks like, set the direction for the organization and build foundational tools that our engineers rely on. You’ll modernize how our engineers create systems, workflows and their tooling to help every engineer move faster and ship better. You'll be responsible for: * Design, build, and deploy AI agents and automation that accelerate every phase of the SDLC, from code generation and review through testing, deployment, and monitoring, making AI and agentic participants a core part of how software gets built at Kustomer. * Stay at the forefront of AI and automation tooling, rapidly evaluating and incorporating forward thinking solutions to continuously push quality, efficiency, reliability, and development velocity. * Partner with engineers across teams to identify friction, design solutions, and iterate quickly, championing best practices that drive real adoption of AI-powered tools across the engineering organization. Your qualifications: * Proven experience in a developer experience, developer tooling or platform engineering role * Experience evaluating, implementing and advocating for AI developer tools to solve complex engineering problems * 5+ years of full-stack programming background with the ability to design systems end-to-end with high-level programming languages like Go, Python, JavaScript, etc. * Ability to see the big picture across engineering and product to identify systemic inefficiencies * Experience with containers and deployment with ECS and Terraform is a big plus * Degree in Computer Science or a related disciplines HIPAA Compliance All roles at Kustomer may involve handling sensitive personal data. Benefits Kustomer offers an array of benefits including competitive salaries and stock options. In the U.S. we offer 100% healthcare coverage, 401K, WiFi and Mobile reimbursement, and a generous vacation policy; in the UK we also offer pension, supplemental health insurance and other perks. Diversity & Inclusion at Kustomer Kustomer is committed to bringing together individuals from different backgrounds and perspectives. We strive to create an inclusive environment where everyone can thrive, feel a sense of belonging, and do great work together.We are proud to be an equal opportunity employer open to all qualified applicants regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, Veteran status, or any other legally protected status. Disclaimer: Kustomer only contacts candidates from company email addresses ending in kustomer.com and does not seek funds from candidates in any circumstances.

Resumes sent to ___ will be given first preference. Overview: Exciting job role that involves designing and building the next generation of Conversational AI/NLP products. Build a long-term career in Conversational AI/NLP and Deep Learning. Opportunity to join one of the fastest growing Conversational AI companies in US/Silicon Valley. Specific Responsibilities: • Design and development of Conversational AI based software applications involving Deep Learning, NLP, Conversational AI, and Strong skillset in python related frameworks/tools, and other back-end applications., • Designing, developing, and managing data structures and database management systems., • Experience in building Chatbots / Voicebots are preferred., • Maintaining and upgrading existing products and features. Key Requirements: • Graduate/Postgraduate in engineering, preferably in Computer Science or related., • Min 2+ years of experience working on NLP or Conversational AI products/projects., • At least 2 years of experience with RASA , Python and related frameworks and components., • Understanding and experience in working on Machine Learning algorithms and Data Science projects., • Strong analytical skills and ability to understand concepts quickly., • Experience in working with cross-border and cross-functional teams., • Good communication skills and ability to multi-task., • Proven experience in high-level programming languages, like Python,RASA, software development methodologies, and in building complex web systems.

We are an innovative technology company providing a cutting-edge, AI-powered cloud platform for the construction industry. Created by industry experts with deep estimating experience, our software dramatically streamlines the pre-construction process. Our solution uses advanced machine learning to automate traditionally time-consuming takeoff tasks, helping estimators work up to 80% faster while reducing costly errors. Our collaborative platform enables real-time teamwork, instant drawing analysis, and features a revolutionary conversational AI interface that transforms how professionals interact with construction plans. Founded by construction industry veterans, our award-winning application automates the takeoff process, enabling estimators to analyze blueprints in seconds rather than hours or days. Key Responsibilities Relationship Management * Build strong relationships with customers, understanding their goals and ensuring they are met through the platform * Conduct regular check-ins to monitor usage and overall satisfaction * Act as the primary point of contact for a portfolio of customers Customer Support and Success * Respond to support requests in a timely and professional manner * Troubleshoot issues and coordinate with the product team when necessary * Maintain records of customer interactions and feedback Retention and Growth * Monitor usage and identify churn risks early, addressing them with tailored support * Identify upsell and renewal opportunities and collaborate with the sales team to execute them Customer Support and Success * Respond to support requests in a timely and professional manner * Troubleshoot issues and coordinate with the product team when necessary * Maintain records of customer interactions and feedback Collaboration and Feedback * Provide customer insights to product and engineering teams to help shape product direction * Share trends, wins, and blockers with the broader customer success and sales teams Qualifications * Experience in customer success, account management, or a client-facing SaaS role * SaaS experience with a strong acumen for product knowledge * Strong communication and relationship-building skills * Ability to troubleshoot issues and explain technical concepts to non-technical users * Experience working with CRM or customer success platforms * Highly organized and proactive with a customer-first mindset * Located in CT/MT/PT time zone Nice to Have * Experience in construction tech or working with AEC clients is a plus What We Offer * Base salary + Incentive Plan * Health, dental, and vision insurance * Unlimited PTO and remote flexibility * Opportunity to grow your career at a fast-paced AI startup * Collaborative and innovative work environment We are an equal opportunity employer committed to building a diverse team. We welcome applications from candidates of all backgrounds who are passionate about using technology to transform the construction industry. Join us in revolutionizing pre-construction estimating with the power of AI!

They are an AI powered voice agent that handles inbound calls, takes reservations, processes payments, and delivers 24/7 customer support, all without human intervention. When a situation requires a human touch, they seamlessly transfers the call with full context. They were purpose built for the rental industry, starting with car rental operators across North America. Their platform integrates directly with rental management systems, giving operators instant call answering, real time availability checks, automated booking workflows, and a live performance dashboard. They are now establishing it as an independent business unit with its own leadership team, with ambitions to expand into the broader rental and services verticals. This is a ground floor opportunity to join a product that already works, at the moment it begins to scale. They are hiring a Customer Success Manager to own onboarding, adoption, and retention for their growing customer base. This is a hands on role for someone who enjoys working directly with customers, understands how operators run their day to day business, and can turn a new sign up into a long term, high value relationship. You’ll be responsible for taking customers from contract signed through to fully operational: configuring the product for their business, training their teams on the dashboard and knowledge base, monitoring adoption, and ensuring they see measurable value from the product. Once live, you’ll own the ongoing relationship, driving retention, identifying expansion opportunities, and acting as the customer’s voice back into the business. You’ll work closely with the CEO and cross functional stakeholders across Sales, Product, Engineering, and Partnerships. As one of the first customer facing hires, you’ll have a direct hand in shaping the onboarding playbook, defining what great looks like for customer health, and building the success function from the ground up. • Lead new customers through implementation: configuring the product for their business, integrating with their rental management system, setting up the knowledge base, transfer rules, opening hours, and greeting flows., • Train customer teams on the product dashboard, analytics, call review, and configuration tools so they can self serve day to day., • Define and track activation milestones to ensure every customer reaches first value quickly: calls answered, bookings created, time saved., • Build and refine repeatable onboarding playbooks, documentation, and training materials as the customer base grows., • Own the ongoing customer relationship post onboarding: regular check ins, business reviews, and proactive outreach based on usage and performance data., • Monitor customer health metrics such as call volume, booking conversion, feature adoption, and dashboard engagement to spot risks early and act on them., • Manage renewals and ensure customers continue to see value as their business and capabilities evolve., • Handle escalations with empathy and urgency, coordinating with Product and Engineering to resolve issues and close the loop with the customer., • Spot opportunities to expand usage within existing accounts: additional locations, higher tier plans, new features, or broader use cases., • Share structured customer feedback with Product and leadership to inform roadmap priorities, packaging decisions, and new vertical exploration., • Collaborate with Sales and Partnerships to support case studies, references, and customer stories that fuel new business growth., • Establish the foundations of the customer success operation: health scoring, onboarding workflows, renewal tracking, and escalation processes., • Maintain accurate customer records, notes, and lifecycle data in CRM (HubSpot)., • Contribute to building a knowledge base of best practices, FAQs, and self-service resources for customers., • You’ve onboarded your first cohort of customers and they are live, with answering calls and creating bookings., • A repeatable onboarding playbook is documented and being refined based on real customer feedback., • Customer health tracking is in place and you have clear visibility into adoption and engagement across your accounts., • You’ve built trusted relationships with early customers and are their go to contact for anything product related., • Customer retention is strong: the majority of customers onboarded are renewing and actively using the product., • Onboarding time to value has improved measurably through playbook iteration and process refinement., • You’ve identified and supported expansion within existing accounts, contributing to revenue growth beyond initial contracts., • Customer feedback loops are producing actionable insights that are influencing product and go to market decisions., • The customer success function has clear processes, health metrics, and documentation that could support scaling the team., • 2 to 4 years of experience in customer success, account management, or implementation within B2B SaaS., • Demonstrated ability to onboard and retain customers, with a track record of driving adoption and reducing churn., • Strong project management instincts: comfortable managing multiple customer implementations and timelines simultaneously., • Excellent communication skills, both written and verbal, with the ability to train, present, and build trust with operators who are not necessarily technical., • Proactive and empathetic: you anticipate customer needs rather than waiting for escalations., • Comfortable working with data to monitor customer health, spot trends, and inform decisions., • CRM experience (HubSpot, Salesforce, or equivalent)., • Self motivated, detail oriented, and comfortable working autonomously in a fast paced, evolving environment., • Experience in the rental industry (car rental, equipment rental, fleet management) or adjacent verticals such as automotive, travel tech, or mobility is a strong plus., • Experience onboarding customers onto AI, automation, or voice/conversational technology products., • Experience building or materially improving customer success processes, playbooks, or health scoring from scratch., • Familiarity with SaaS products and API based integrations, enough to guide customers through configuration without needing engineering support for every question., • Startup or early stage SaaS experience where you had to build the function, not just run it., • Be the first dedicated customer success hire for an AI product that customers can see and hear working from day one., • Ground floor opportunity: shape the entire post sale experience as the business establishes its own leadership team and scales its customer base., • Direct influence on onboarding design, customer health frameworks, and product direction through the feedback you bring back from the field., • Work with a product that delivers immediate, measurable value to operators: every call answered, every booking captured, every minute saved., • Competitive compensation and strong growth potential as the customer success function scales.

Conversation. It’s the thread between our product and our people. The tool that enables us to forge relationships through compassion and expertise. To find the connection between our differences. It keeps us close together across borders and backgrounds and helps us create our shared vision. Rasa means tight-knit. We get to the point and have the courage to ask ‘why?’. Because through relentless experimentation, passion, and vision, we’re transforming the way people interact with organizations through AI. That’s Rasa. That’s our message. Join us and add yours. We’re looking for a Director of Customer Success to join our Go-to-market team. Your main goal will be to establish strong, scalable customer relationships that drive adoption, retention, and expansion You will lead a world-class team of Customer Success Managers (CSMs) and partner deeply with our Engineering-led Customer Success Engineers (CSEs) and Forward Deployed Engineers (FDEs). You are the guardian of our Net Revenue Retention (NRR) and the primary driver of the "Rasa Customer Experience." The role reports directly to our Chief Revenue Officer Full-time - 100% remote - Location: USA, East Coast * This is a remote position, but we cannot hire anybody outside of the USA for this position. * Rasa can not assist with work authorization (visa sponsorship) for this position. Since we're a startup, we need someone who's ready to jump in, be hands-on, and do whatever it takes to help us achieve our goals. We are hiring a Director of Customer Success Manager to support our company's growth by investing in our customers' success, driving retention and expansion, and ensuring customers achieve long-term value. As a Director of Customer Success Manager, you'll make an impact on your team by: Strategic Leadership & Team Scaling * Build & Scale: Recruit, mentor, and lead a high-performing team of CSMs across the globe fostering a culture of "Outcome-Obsessed" success. * Unified Front: Partnering with the Head of CSE & Head of FDE to bridge the gap between "Technical Success" (CSE/FDE ownership) and "Business Success" (CSM ownership), ensuring a seamless customer journey. * Operational Excellence: Design and execute a scalable onboarding motion that drives new customer cohorts toward rapid production deployment and measurable business impact, ensuring high-quality adoption at scale. Value Realization & Revenue Protection * NRR Ownership: Direct accountability for protecting and growing our Enterprise ARR. * The "Success Gate": Implement and enforce a rigorous "Success Criteria" mandate. No engagement starts without a customer-signed success plan featuring quantifiable KPIs (e.g., deflection rates, CSAT, or cost per intent). * Executive Alignment: Personally engage with Director and C-level stakeholders at our top-tier accounts to secure long-term partnership and alignment on the "Value Narrative." The Operating Motion * Sales-to-CS Handover: Optimize the "Internal Knowledge Transfer" (IKT) process, ensuring Sales and Solutions Engineering provide the "Value Discovery" needed for a Day 1 head start. * 90-Day ROI Focus: Drive the team to achieve Time to First Value (TTFV) milestones, moving customers quickly through onboarding and enablement and into production. * Technical Risk Governance: Partner with CSEs to manage the "Technical Red Flag" system—identifying when a customer’s architecture deviates from best practices (e.g., CALM vs. custom RAG) and escalating the business risk to customer leadership. * Renewal Rhythm & Automation: Define a standardized renewal motion with fixed cadence (90/60/30 days), templated executive and commercial outreach, AI-driven health and churn scoring in CSP, renewal-play triggers in the CSP, and automated CSM nudges and track adherence and conversion to protect and grow ARR. * 8–10+ years in Customer Success leadership, specifically within complex, developer-centric SaaS or AI platforms (e.g., Databricks, Snowflake, Amplitude, or similar). * Proven track record of managing both CSMs and high-touch Technical Account Managers (TAMs) or CSEs. You know how to lead technical people toward business outcomes. * You have successfully built and scaled CS teams from $10M to $50M+ ARR in a high-growth environment. * Strong background in NRR, churn analysis, and renewal negotiation. You view Customer Success as a revenue-generating function, not a cost center. * While you are a business leader, you are comfortable discussing AI architecture, LLMs, and API integrations with CTOs and Lead Developers. Please keep in mind that we are describing the background that would best fit the role. Even if you don’t meet all the requirements, yet you are confident that you are up for the task, we absolutely want to get to know you! Rasa Customer Success sits in the Go To Market organisation and is currently a size of five CSMs and growing with the growth of our business. The team is spread out globally, 50/50 between EMEA and NAMER. * Flexible hours and a dedicated remote budget * A stipend for professional development & 6 paid education days to help you grow within your role * Unlimited PTO + paid sick leave + paid public holidays * A MacBook, and other tech to help you do your job * We have regular remote team events, as well as an annual company-wide offsite * Health benefits * 401(k) contribution with up to 4% match * Equity options You can find more information about our benefits per location here: ___ Rasa is a leader in generative conversational AI, enabling enterprises to build and deliver next-level AI assistants. Merging a state-of-the-art engine with a user-friendly no-code UI, Rasa offers an open and adaptable platform that perfectly aligns with business logic. This innovative approach makes Rasa a reliable and trusted choice for enterprises seeking to enhance customer interactions while reducing costs. Rasa is privately held with funding from StepStone, PayPal, Accel, Andreessen Horowitz, Basis Set Ventures, and others. The company was founded in 2016 and is remote-first with a global presence. You can find answers to FAQs from candidates about this role specifically on our ___ sheet. Rasa is an equal opportunity employer. We are still a small team and are committed to growing in an inclusive manner. We want to augment our team with talented, compassionate people irrespective of race, color, religion, national origin, sex, physical or mental disability, or age. You must be located in and a resident of the location(s) listed for us to proceed with your application.

Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram. At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance. Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do. Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5. You deploy Deepgram’s voice AI platform into complex restaurant environments and make it work in the real world. This role sits at the intersection of engineering, product, and customer systems, partnering closely with customer leadership and technical stakeholders to bring ambitious deployments to life. You embed with enterprise restaurant brands and restaurant technology partners, learn their systems deeply, and integrate our platform into the core of their operations. Along the way you write code, debug production issues, and adapt the platform to real world constraints. You operate as a trusted technical partner to both customer leadership and engineering teams, ensuring deployments move quickly and deliver meaningful business outcomes. You turn real world deployments into leverage for the entire platform by identifying patterns across customers, shaping product improvements, and building the tooling, reference architectures, and playbooks that make each new deployment faster, more reliable, and easier to scale across large restaurant fleets and technology ecosystems. The mission of this role is to ensure every enterprise deployment of Deepgram for Restaurants works like magic — technically flawless and delivering measurable value from day one. This role is based in New York City, where many of our customers and partners are located. Being close to them helps us move quickly and stay connected to their needs. While the role is based in New York City, this would still be a remote-first opportunity, as we do not have an office local to the area. This role also includes up to 50% travel to meet with customers, support sales engagements, and participate in key onsite interactions * Customer engineering partnership: Embed with customer engineering teams as a trusted technical peer. Lead technical discovery and solutioning for prospects and customers. * Technical integration and deployment: Own the end-to-end technical implementation of Deepgram’s voice AI platform for enterprise customers — from scoping and architecture through go-live and optimization. * Configuration and customization: Adapt and configure Deepgram’s platform to meet each customer’s unique operational requirements — menu structures, ordering flows, POS integrations, edge cases, and everything in between. * Production excellence: Monitor, troubleshoot, and resolve technical issues in live deployments. Serve as an escalation point for complex technical issues when necessary. * Deployment infrastructure leadership: Codify patterns into tools, playbooks, reference architectures, and building blocks the broader team can use for other deployments and customers. * Feedback loop to product and engineering: Translate real-world deployment challenges into actionable requirements for Deepgram’s product and engineering teams. You are the voice of the customer inside the building. * You are hands-on. You write code, read logs, and ship fixes — you don’t just coordinate. When a customer has a technical problem, you roll up your sleeves and solve it. * You operate with extreme ownership and urgency. You treat every customer deployment as if your name is on the product. * You partner closely with Sales, Product, and Engineering, but you are just as comfortable on a customer’s Slack channel walking their team through an API integration. * Technical depth: You are an excellent software engineer. You are comfortable working across APIs, SDKs, webhooks, cloud infrastructure, and customer tech stacks. You use AI coding tools to move fast and multiply your output. * Customer obsession: Deep, personal commitment to your customers’ technical success. You take their problems home with you. You are not satisfied until the deployment is bulletproof. * High slope: Learns fast, adapts quickly, and stays effective in ambiguity without needing constant structure. You figure things out and move forward. You are excited to get your hands dirty solving gritty technical problems over sexy ones. * Communication and trust: Able to build deep credibility with both technical and non-technical stakeholders on the customer side. You are calm under pressure and relentlessly reliable. * Experience with voice AI, speech-to-text, NLP, or conversational AI systems. * Previous early-stage startup or founder-led environment experience — you thrive in environments where you wear many hats and build from zero. * Previous experience embedded within a large enterprise customer’s product deployment. * Medical, dental, vision benefits * Annual wellness stipend * Mental health support * Life, STD, LTD Income Insurance Plans * Unlimited PTO * Generous paid parental leave * Flexible schedule * 12 Paid US company holidays * Quarterly personal productivity stipend * One-time stipend for home office upgrades * 401(k) plan with company match * Tax Savings Programs * Learning / Education stipend * Participation in talks and conferences * Employee Resource Groups * AI enablement workshops / sessions *For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible. Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you! Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. We are happy to provide accommodations for applicants who need them.

Location: Remote - United States only. About the role: Ottimate is building the AI-native future of accounts payable. Our platform processes millions of invoices across hundreds of enterprise customers, powered by a suite of ML models and agentic workflows. As Director of AI Engineering, you will own the full AI and ML layer of our product — from invoice understanding and vendor intelligence to our conversational AP Copilot and the next generation of autonomous AP agents. This is a hands-on leadership role. You will spend at least half your time writing code, architecting systems, and driving technical decisions alongside your team. You will also set the AI roadmap, partner cross-functionally with Product, Data, and Platform Engineering, and manage a distributed team of 8–10 engineers across Data and ML. We are looking for a senior technical manager or director — ideally someone who has thrived at a smaller company and is ready for a career step up into broader ownership. If you are energized by shipping real AI products, working with noisy real-world financial data, and building the systems that will define how enterprises automate AP, this role is for you. Responsibilities Technical Leadership • Architect and ship production AI/ML systems — you write code, not just review it, • Own the AI roadmap end-to-end: prioritization, trade-offs, delivery, • Set technical standards for model quality, evals, observability, and reliability, • Drive adoption of agentic coding tools to multiply team velocity, • Claude Code, Cursor, Copilot, or equivalent — measure and improve PR throughput, • Manage a distributed team of 8–10 engineers across Data and ML disciplines, • Hire, develop, and retain engineers at all levels; build a high-trust remote culture, • Partner with Product on roadmap sequencing and scope trade-offs, • Work directly with customer-facing teams to close feedback loops on model quality, • Own model performance metrics and drive continuous improvement pipelines, • Build and maintain evals frameworks — regression suites, human review, A/B testing, • Oversee training data collection, curation, and labeling operations, • Manage the full ML lifecycle: experimentation, deployment, monitoring, iteration, • Define and enforce quality bars for agentic workflows entering production Applied AI & Agentic Systems • Production agentic pipelines using frontier models, • Anthropic SDK · OpenAI SDK · tool use, function calling, multi-agent orchestration, • Reliable agent loop design — planning, memory, tool execution, error recovery, • RAG pipeline design — chunking, embedding models, retrieval tuning, reranking, • Evals frameworks built from scratch — correctness, regression, semantic similarity, • Fine-tuning frontier or open-source models for domain-specific tasks, • LoRA, QLoRA, instruction tuning — not just off-the-shelf API calls, • Training data collection, curation, cleaning, and labeling at scale, • LLM inference and serving optimization, • vLLM, TGI, or equivalent, • Hands-on Python — comfortable writing, reviewing, and shipping production code, • PostgreSQL — schema design, query optimization, indexing strategies, • Distributed systems — async workers, queues, retries, state machines, • Celery or similar async task frameworks is a bonus, • Public-facing API design — REST, versioning, developer experience, • MCP server development — tool-accessible APIs for AI agent integration, • Engineering Manager ready for director-level ownership, • Has led technical teams at a startup or growth-stage company — knows how to move fast, • Hands-on contributor who has also managed small high performance teams., • Finance and/or AP domain — invoice workflows, GL coding, vendor management, • Hospitality — high-volume, multi-location AP operations, • Noisy, unstructured text data — OCR outputs, inconsistent supplier formats, entity resolution at scale ★ Industry experience above is a bonus Exceptional AI engineering skills are the primary bar. We will teach the domain. We care deeply about making Ottimate an incredible place to work and invest a significant amount of time and energy into creating and maintaining a company culture that provides our team with a generous level of support whilst inspiring them to do their best work. The specific benefits/perks we offer are continually evolving, but currently include: • Compensation: 200,000-225,000 + 15% Annual Bonus, • Competitive salary based on skills & experience., • Medical, Dental, Vision and other Company-Subsidized Benefits for you and your family., • Employer sponsored 401(k) with company match., • Paid Time Off (and the encouragement to use it)., • Annual company retreats., • Promote from within philosophy. Beyond the tangible benefits though: • You will be part of a growing team, at a pinnacle moment of scale for the business, and experience the excitement of working in a startup where each action makes a huge difference., • You will have the agency to solve difficult problems creatively, the freedom to explore work that inspires you, and infrastructure to ensure you're constantly challenged and developing., • You will work with sharp, passionate teammates solving some of the most unique challenges and positioning our product as a premier finance automation solution., • Our commitment to empowering a diverse and inclusive workforce, celebrating differences, and creating a safe space for our employees to bring their whole selves to work is second to note., • We are transforming entire industries using innovative technology including Artificial Intelligence, Payment Tech, and Neural Networks., • Our leaders lead with a people-first approach; inspiring excellence, nurturing ideas, and finding creative ways to eliminate obstacles for cultivating growth., • We truly love what we do and who we do it with - and we think you will too! Ottimate is an equal opportunity employer that is committed to diversity and inclusion. We do not discriminate based on race, color, national origin, religion, gender, gender expression, sexual orientation, age, veteran status, disability status, or marital status. If you are excited about the role but do not meet 100% of the qualifications listed above, we encourage you to apply. Nothing in this job posting should be construed as an offer or guarantee of employment.

Scale AI builds the data infrastructure that powers the world's most advanced AI. We are the trusted data partner behind frontier model makers and enterprise AI teams - providing the high-quality training data, evaluation frameworks, and human-feedback systems that make models smarter, safer, and more capable. Scale operates as a two-sided marketplace. On the demand side, our customers - leading AI labs and enterprises - need precisely labeled, expert-curated data to train and evaluate their models. On the supply side, we work with a global network of 500,000+ skilled contributors across 100+ countries who perform the complex annotation, evaluation, and data-generation tasks that fuel AI progress. Product Managers at Scale sit at the intersection of these two sides, shaping the systems, tooling, and experiences that make this marketplace work at unprecedented quality and scale. We are hiring Product Managers across multiple teams within our GenAI organization. These roles span both demand-side products (the tools and platforms our customers interact with) and supply-side products (the systems that power our contributor ecosystem). Each role offers the opportunity to work on high-impact, technically complex problems at the frontier of AI - with dedicated engineering, design, and data science teams. • Scale's GenAI platform is how the world's leading AI companies - from frontier model labs to Fortune 500 enterprises - create the training data that makes their models best-in-class. As a PM here, you are building the systems that directly shape AI model quality., • These roles are deeply cross-functional. You will work with dedicated engineering, design, and data science teams, as well as operations, finance, growth, and customer-facing stakeholders. The problems are technically complex, the pace is fast, and the impact is measurable., • Whether you are on the demand side (shaping the products customers use to create and evaluate training data) or the supply side (building the systems that power our global contributor marketplace), you will own your product area end-to-end - from strategy to execution to instrumentation. Task UX (Demand Side) - Own the end-to-end tasking product. You will define how tasks are designed, how contributors interact with multi-turn chat interfaces, and how in-task quality is measured and enforced across diverse conversational modalities. This is a critical surface area for training the next generation of models. Multi-Dimensional Quality (Demand Side) - Own Scale's MDQ measurement framework, the CoPilot assisted-annotation experience, and our data pipeline connectivity layer. You will drive the core data quality infrastructure that customers depend on - defining how quality is decomposed, measured, and surfaced, while building AI-assisted tooling that helps contributors produce higher-quality outputs faster. Pay & Incentives (Supply Side) - This PM owns the payment and incentive systems that serve Scale's global contributor base. You will ensure 500,000+ contributors across 100+ countries are paid accurately and on time, set pay rates methodically by skill and geography, and design incentive structures that balance cost efficiency, data quality, and contributor satisfaction. This role sits at the intersection of marketplace economics, global payments operations, and contributor experience. • Set the product strategy and roadmap for your area, grounded in customer needs, data analysis, and business impact, • Develop and execute a data-driven product roadmap through close collaboration with senior leadership, engineering, operations, data science, analytics, and design, • Translate customer and internal-user needs into clear, well-defined functional and technical requirements backed by data analysis and deep understanding of your users, • Guide and interface closely with engineering and data teams to define scope, review and refine technical capabilities, prioritize projects for release, and identify new opportunities, • Build long-term instrumentation, monitoring, and evaluation capabilities for product performance tracking and insight generation, • Establish business cases and projected return on investment to identify and prioritize opportunities, • Partner with finance and business leaders to manage impact on the profitability and growth of the overall business, • Communicate product vision, strategy, and progress to executive stakeholders and cross-functional partners, • 4-10 years of experience in Product Management in the tech industry, with scope appropriate to level (L4: 4-6 yrs, L5: 6-8 yrs, L6: 8-10+ yrs), • Strong business acumen and analytical rigor, with demonstrated success driving products in ambiguous, high-growth environments, • Experience translating complex technical systems into clear product strategies - comfort engaging deeply with engineering and data science teams, • Excellent communication and stakeholder management skills, capable of influencing across technical and non-technical audiences, • Experience building products from the ground up and iterating through the scaling journey of a business, • Experience in AI/ML, data infrastructure, or marketplace businesses, • Strong understanding of the AI landscape - model training workflows, data labeling, evaluation, and deployment, • Experience with global payment systems, contributor/gig-economy platforms, or trust & safety domains About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. As a Forward Deployed AI Engineering Manager on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, lead a team that architects specific AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a Management role that combines deep engineering and AI expertise, leading a team, and working on customer-facing problems. You'll work directly with customer engineering teams to integrate AI into their critical workflows. • Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements, • Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs), • Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows, • Deploy and configure AI models and agents within customer security and compliance boundaries, • Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation, • Architect multi-agent systems that orchestrate between different models, tools, and data sources, • Implement evaluation frameworks to measure agent performance and iterate toward business objectives, • Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement, • Create sophisticated prompt engineering strategies optimized for customer-specific domains and data, • Build and maintain prompt libraries, templates, and best practices for customer use cases, • Conduct systematic prompt experimentation and A/B testing to improve model outputs, • Implement RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines where appropriate, • Serve as the Engineering Manager and technical point of contact for strategic enterprise accounts, • Lead a team that is collaborating with customer data scientists, ML engineers, and software developers to ensure smooth integration, • Work closely with Scale's product and engineering teams to translate customer needs into product improvements, • Document technical architectures, integration patterns, and best practices, • Debug complex technical issues across the entire stack, from data pipelines to model outputs, • Rapidly prototype solutions to unblock customers and prove out new use cases, • Stay current on the latest AI/ML research and tools, bringing innovative approaches to customer problems, • Identify opportunities for productization based on common customer patterns, • 5+ years of software engineering experience with 2+ yrs of Management experience with strong fundamentals in data structures, algorithms, and system design, • Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API), • Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure, • Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions, • Deep understanding of LLMs including prompting techniques, embeddings, and RAG architectures, • Experience building and deploying AI agents or autonomous systems in production, • Knowledge of vector databases and semantic search systems, • Experience with containerization (Docker, Kubernetes) and CI/CD pipelines, • Experience using Terraform, Bicep, or other Infrastructure as Code (IaC) tools, • Previous work in a devops, platform, or infra role, • Proven ability to work with customers in a technical consulting, solutions engineering, or product engineering role, • Domain expertise in verticals like finance, healthcare, government, or manufacturing For a global professional services firm, we developed a sophisticated deep research agent to assist in due diligence. This agent employs a multi-agent architecture for robust fact-checking, integrates several internal MCP tools, and processes complex, unstructured data sources. This solution reliably saves employees hundreds of hours weekly. Working with a TelCo organization, we built a model utilizing customer data to predict churn likelihood. The system then curates personalized offers based on this prediction. This model was integrated into a "next best action" copilot, enabling call center agents to proactively surface relevant offers to customers, leading to a significant reduction in churn. We partnered with a healthcare organization to create a lifelike voice agent and avatar designed to gather unstructured health information from patients. Engineered for low latency, the agent adeptly manages conversational flow, adheres to safety guardrails, and efficiently handles data extraction. This automation saves the organization's nurses hundreds of hours each week. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$216,000—$270,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. As a Senior Staff Forward Deployed AI Engineer on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, architect custom AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a hands-on technical role that combines deep engineering expertise with customer-facing problem solving. You'll work directly with customer engineering teams to integrate AI into their critical workflows. • Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements, • Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs), • Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows, • Deploy and configure AI models and agents within customer security and compliance boundaries, • Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation, • Architect multi-agent systems that orchestrate between different models, tools, and data sources, • Implement evaluation frameworks to measure agent performance and iterate toward business objectives, • Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement, • Create sophisticated prompt engineering strategies optimized for customer-specific domains and data, • Build and maintain prompt libraries, templates, and best practices for customer use cases, • Conduct systematic prompt experimentation and A/B testing to improve model outputs, • Implement RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines where appropriate, • Serve as the primary technical point of contact for strategic enterprise accounts, • Collaborate with customer data scientists, ML engineers, and software developers to ensure smooth integration, • Provide technical training and knowledge transfer to customer teams, • Work closely with Scale's product and engineering teams to translate customer needs into product improvements, • Document technical architectures, integration patterns, and best practices, • Debug complex technical issues across the entire stack, from data pipelines to model outputs, • Rapidly prototype solutions to unblock customers and prove out new use cases, • Stay current on the latest AI/ML research and tools, bringing innovative approaches to customer problems, • Identify opportunities for productization based on common customer patterns, • 12+ years of software engineering experience with strong fundamentals in data structures, algorithms, and system design, • Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API), • Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure, • Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions, • Deep understanding of LLMs including prompting techniques, embeddings, and RAG architectures, • Experience building and deploying AI agents or autonomous systems in production, • Knowledge of vector databases and semantic search systems, • Experience with containerization (Docker, Kubernetes) and CI/CD pipelines, • Experience using Terraform, Bicep, or other Infrastructure as Code (IaC) tools, • Previous work in a devops, platform, or infra role, • Proven ability to work with customers in a technical consulting, solutions engineering, or product engineering role, • Domain expertise in verticals like finance, healthcare, government, or manufacturing For a global professional services firm, we developed a sophisticated deep research agent to assist in due diligence. This agent employs a multi-agent architecture for robust fact-checking, integrates several internal MCP tools, and processes complex, unstructured data sources. This solution reliably saves employees hundreds of hours weekly. Working with a TelCo organization, we built a model utilizing customer data to predict churn likelihood. The system then curates personalized offers based on this prediction. This model was integrated into a "next best action" copilot, enabling call center agents to proactively surface relevant offers to customers, leading to a significant reduction in churn. We partnered with a healthcare organization to create a lifelike voice agent and avatar designed to gather unstructured health information from patients. Engineered for low latency, the agent adeptly manages conversational flow, adheres to safety guardrails, and efficiently handles data extraction. This automation saves the organization's nurses hundreds of hours each week. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$288,000—$360,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

The Community You Will Join: Messaging is a critical component in building connections with our users. Our mission as the Communication Products team is to build a first-class messaging experience at Airbnb, bringing together guests and hosts across the world. We are investing heavily in machine learning to make these conversations smarter, safer, and more productive. As a staff software engineer on this team, you'll lead the technical vision for ML-powered messaging features: architecting and delivering intelligent capabilities end-to-end, partnering deeply with ML and product teams, and raising the engineering bar across the organization. The Difference You Will Make: As a Staff Engineer on the team, you will define and drive the technical strategy for integrating ML capabilities into Airbnb's messaging products, including smart replies, message classification, content moderation, translation, and conversational assistance. You will also own the full lifecycle of ML-powered features: from prototyping and experimentation through launch, monitoring, and iteration. In addition, you will help drive key technical deliverables for the larger Communications organization. A Typical Day: • Design, build, and operate the systems that serve ML models within the messaging stack, with a focus on latency, reliability, and scalability, • Write and review technical designs that solve large, open-ended problems at the intersection of ML and product engineering without clearly-known solutions, • Partner with ML, data science, and product teams to identify high-value opportunities, establish evaluation criteria, and close the gap between offline model performance and production impact, • Collaborate with other engineers and cross-functional partners across Messaging, Trust & Safety, Localization, and Platform organizations to align on long-term technical solutions, • Mentor, guide, advocate, and support the career growth of individual contributors, • Establish engineering standards for ML integration across the messaging surface, including feature flagging, A/B testing, observability, and graceful degradation Your Expertise: • 9+ years of relevant engineering hands-on work experience, • Bachelors, Masters, or PhD in CS or related field, • Demonstrated experience building and shipping ML-powered product features in production environments, including model serving, feature pipelines, online/offline evaluation, and monitoring, • Exceptional architecture abilities and experience with architectural patterns of large, high-scale applications, • Familiarity with NLP/NLU techniques and large language models, particularly as applied to messaging, conversational AI, or content understanding, • Shipped several large-scale projects with multiple dependencies across teams, specifically at the intersection of ML infrastructure and product engineering, • Technical leadership and strong communication skills with the ability to translate between ML research, product goals, and engineering execution, • Experience operating distributed, real-time systems at scale with high reliability requirements, • Experience with real-time messaging systems or event-driven architectures, • Familiarity with ML infrastructure at scale (e.g., feature stores, model registries, online inference platforms), • Prior work on trust & safety, content moderation, or internationalization in a messaging context, • Experience with LLM-based product features, including prompt engineering, retrieval-augmented generation, or fine-tuning Your Location: This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. ___ . If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from. Our Commitment To Inclusion & Belonging: Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: ___. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.

Who are we? Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers. Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products. Join us on our mission and shape the future! Cohere is revolutionizing enterprise AI with North, an agentic AI platform designed to securely deploy AI agents and automations within organizations’ infrastructure. North empowers employees to streamline workflows, automate repetitive tasks, and unlock actionable insights while ensuring data privacy and compliance. North combines cutting-edge generative and search models and customizable integrations to drive productivity and innovation at scale. We are seeking a Native Experience & Growth PM to own how users discover, adopt, and stay engaged with North across every surface — iOS, Android, macOS, and web. This is a high-leverage role sitting at the intersection of three domains: Native Applications. Own North’s iOS, Android, and macOS apps. You’ll define the mobile product roadmap, drive platform-specific capabilities (such as widgets, shortcuts, push notifications, offline modes), and ensure the native experience feels fast, polished, and purpose-built for knowledge workers on the go. Front-End Platform. Own the platform-wide shared component layer which would be the infrastructure that makes North customizable and enterprise-ready. This includes white-labeling and custom branding, configurable terms and conditions, notification systems, and the shared system components that will be leveraged across devices and features. Onboarding, Retention & Growth. Own the end-to-end user lifecycle from first login to power user. You’ll design and iterate on first-time user experiences (FTUX), contextual onboarding flows, proactive guidance, and re-engagement strategies. * Define and execute the roadmap for North’s iOS, Android, and macOS apps, balancing platform-native capabilities with cross-platform consistency. * Own the shared component and configuration layer that enables enterprise customization * Design and iterate on FTUX and onboarding flows that minimize time-to-value and drive activation across new enterprise deployments. * Own analytics instrumentation to track funnel performance, feature adoption, and re-engagement; run structured experiments to improve key metrics. * Engage directly with enterprise customers to surface use cases across surfaces and validate product decisions with qualitative and quantitative evidence. * Collaborate with design and engineering to maintain a coherent, accessible component system and ensure pixel-perfect experiences that scale across customer deployments. * 5+ years of product management experience, with meaningful time in at least one of: mobile/native applications, front-end platform, or growth and lifecycle PM. * Track record of shipping mobile or platform-layer products with real impact on adoption, retention, or engagement. * Strong working knowledge of mobile UI/UX principles, such as iOS HIG and Material Design, and comfort making tradeoffs between native and cross-platform approaches. * Analytical by default: you define metrics before you build, know how to instrument a product, and can run and interpret A/B tests. * Strong cross-functional collaborator who works well with distributed engineering and design teams and can translate technical tradeoffs for non-technical stakeholders. * Highly execution-oriented with a bias for getting things shipped and iterating from there. * Experience owning front-end platform work: design systems, white-labeling, shared component libraries, or configuration infrastructure for enterprise SaaS. * Experience with enterprise mobile compliance requirements: MDM/MAM, enterprise app distribution, data encryption at rest and in transit. * Exposure to agentic AI systems, LLMs, or conversational interfaces, ideally in a mobile or desktop context. * Impact: Shape the native surface of an enterprise AI platform used by some of the world’s largest organizations. * Innovation: Work alongside leading researchers and engineers solving complex ML challenges. * Growth: Enjoy competitive compensation, equity options, and opportunities for professional development. * Flexibility: Hybrid work model with offices in key global locations. Remote or hybrid (San Francisco, New York, Toronto) - we prefer for this candidate to be open to working EST hours. If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an ___, and we will work together to meet your needs. Full-Time Employees at Cohere enjoy these Perks: 🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks 🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for up to 6 months 🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement 🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend ✈️ 6 weeks of vacation (30 working days!)

At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite. Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform. The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world. * Central: Dallas, Chicago * Co-architect and co-build production AI agents with customer engineering teams * Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations * Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows * Advise customers post-sale on architecture, best practices, and roadmap-level decisions * Run technical demos, trainings, and workshops for developer audiences * Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers * Occasionally contribute code upstream when it meaningfully improves customer outcomes * 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up * Strong Python, JavaScript and systems fundamentals * Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling * Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations * Can explain technical tradeoffs clearly and build trust with developer audiences * Take responsibility for outcomes, not just recommendations * Have a bias toward action and enjoy figuring things out as you go * Are excited about operating AI agents in production, not just building demos * You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks * Worked with LLM evaluation, observability, or guardrails * Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts * Have shipped and operated production software and are comfortable owning systems under real-world constraints We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like 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. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. Annual OTE range: $150,000–$250,000 USD

POS-19085 Role Summary Our mission at HubSpot is to help millions of organizations grow better. HubSpot Academy is a globally renowned education platform attracting hundreds of thousands of professionals who want to grow their careers and make an impact at their organizations. As a Senior Product Manager I on the Academy Growth Product team, you’ll help evolve HubSpot Academy into an AI-powered educational assistant deeply integrated into the HubSpot platform. You’ll define how HubSpot users discover, engage with, and are matched to relevant training through personalized learning experiences powered by ML recommendations, predictive search, gamification, and conversational UI built on HubSpot’s Breeze AI platform. This role sits at the intersection of AI, education, and growth — shaping how millions of users learn and unlock more value from HubSpot. * Create a shared vision and cohesive roadmap for AI-powered Academy discovery and personalization as a core member of the Product Triad (Product, Engineering, UX). * Define and deliver intelligent matching systems that guide users to the right content at the right time using ML, predictive search, and conversational AI. * Explore ambiguous problem spaces across AI-driven recommendations, gamification, and conversational UI to improve user engagement and learning outcomes. * Guide new product initiatives from early discovery through launch, experimentation, and iteration. * Engage directly with internal and external users to deeply understand workflows, pain points, and success metrics. * Use quantitative data and qualitative research to test assumptions, validate opportunities, and continuously improve user experience. * Partner cross-functionally with Design, Engineering, Learning Science, Analytics, and GTM teams to drive alignment and measurable outcomes. * Contribute to a high-performing, psychologically safe team culture grounded in autonomy, ownership, and growth. * Experience building AI assistants, AI agents, or agent-based skills. * Experience prototyping product concepts using AI prototyping tools. * Demonstrated experience launching customer-facing products successfully. * Strong customer empathy and a drive to deeply understand and solve meaningful problems. * Multidisciplinary thinking that combines market, business, and technical insights to evaluate tradeoffs. * Ability to articulate product vision clearly to a variety of audiences, including technical and non-technical stakeholders. * Experience working cross-functionally with Engineering, Design, UX Research, and Analytics partners. * Excellent communication, influencing, and interpersonal problem-solving skills. * Ability to make decisions, test assumptions, and iterate in fast-paced, ambiguous environments. * Experience managing internal and external stakeholders. * Understanding of the competitive software and online learning landscape. * Understanding of two-sided marketplace dynamics. * Bachelor’s degree or equivalent experience. * Experience working in edtech or with learning management systems. * Experience building front-office business applications for SMB audiences. * Understanding of and passion for learning science and/or neuroscience. * Location: United States * Work location preference eligibility: Remote * Travel/Shift: Minimal travel expected Pay & Benefits The cash compensation below includes base salary, on-target commission for employees in eligible roles, and annual bonus targets under HubSpot’s bonus plan for eligible roles. In addition to cash compensation, some roles are eligible to participate in HubSpot’s equity plan to receive restricted stock units (RSUs). Some roles may also be eligible for overtime pay. Individual compensation packages are tailored to your skills, experience, qualifications, and other job-related reasons. ___ will help guide how we recommend thinking about the range you see. Learn more about HubSpot’s ___. Benefits are also an important piece of your total compensation package. Explore the ___ HubSpot offers to help employees grow better. At HubSpot, fair compensation practices aren’t just about checking off the box for legal compliance. It’s about living out our value of transparency with our employees, candidates, and community. Annual Cash Compensation Range:$158,100—$253,000 USD We know the ___ and___ can get in the way of meeting spectacular candidates, so please don’t hesitate to apply — we’d love to hear from you. If you need accommodations or assistance due to a disability, please reach out to us ___. At HubSpot, we value both flexibility and connection. Whether you’re a Remote employee or work from the Office, we want you to start your journey here by building strong connections with your team and peers. If you are joining our Engineering team, you will be required to attend a regional HubSpot office for in-person onboarding. If you join our broader Product team, you’ll also attend other in-person events, such as your Product Group Summit and other gatherings, to continue building on those connections. If you require an accommodation due to travel limitations or other reasons, please inform your recruiter during the hiring process. We are committed to supporting candidates who may need alternative arrangements Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Germany Applicants: (m/f/d) - link to HubSpot's Career Diversity page ___. India Applicants: link to HubSpot India's equal opportunity policy ___. About HubSpot HubSpot (NYSE: HUBS) is an AI-powered customer platform with all the software, integrations, and resources customers need to connect marketing, sales, and service. HubSpot's connected platform enables businesses to grow faster by focusing on what matters most: customers. At HubSpot, bold is our baseline. Our employees around the globe move fast, stay customer-obsessed, and win together. Our culture is grounded in four commitments: Solve for the Customer, Be Bold, Learn Fast, Align, Adapt & Go!, and Deliver with HEART. These commitments shape how we work, lead, and grow. We’re building a company___. We focus on brilliant work, not badge swipes. By combining clarity, ownership, and trust, we create space for big thinking and meaningful progress. And we know that when our employees grow, our customers do too. Recognized globally for our award-winning culture by Comparably, Glassdoor, Fortune, and more, HubSpot is headquartered in Cambridge, MA, with employees and offices around the world. Explore more: HubSpot may use AI to help screen or assess candidates, but all hiring decisions are always human. More information can be found ___. By submitting your application, you agree that HubSpot may collect your personal data for recruiting, global organization planning, and related purposes. Refer to HubSpot's ___ for details on data processing and your rights.

Kustomer is the industry leading conversational CRM platform perfecting every customer experience.Built with intelligent tools such as AI and Automation, no code-configuration and a connected data platform that unifies data from multiple sources through a single timeline, Kustomer empowers businesse

Wati is the world's leading WhatsApp-first conversational growth platform, empowering businesses to build deeper customer relationships and accelerate revenue growth. Trusted and loved by over 14,000 customers across 100+ countries, Wati has established itself as the premier choice for businesses leveraging WhatsApp and other messaging channels to connect with customers on their platform of choice. In a world where real-time interactions drive growth, Wati's story is all about business growth through conversations. At Wati, we believe that every conversation matters, whether it's engaging a first-time prospect, nurturing a qualified lead, or deepening relationships with loyal clients. We transform these conversations into opportunities for building relationships, and strong relationships lead to increased revenue. Our Platform The AI-native platform simplifies complex business operations by bringing all customer interactions under one intelligent roof. Designed for scalability and ease of use, our solution delivers a measurable ROI while adapting to businesses of all sizes, from emerging startups to established enterprises. Our Backing & Partnerships Wati is proudly backed by world-class investors including Tiger Global, Sequoia Capital, DST Global, and Shopify. As a Premium-tier Partner of Meta, Google, and WhatsApp, we maintain the highest standards of integration and platform excellence. We're a fast-growing global team of passionate professionals, and we're now looking for a Customer Support Associate based in Latin America to support our growing customer base in the region. This role is crucial to ensuring a seamless customer experience by providing timely, empathetic, and solution-oriented support across multiple channels. The ideal candidate is tech-savvy, fluent in English, Portuguese, and Spanish, and has a strong understanding of SaaS products and customer service best practices. Responsibilities: • Respond to customer queries (Billing and L1 Support) promptly and accurately via phone, email or chat., • Identify customer needs and help customers use specific features., • Analyse and report product malfunctions., • Update our internal databases with information about technical issues and helpful customer discussions., • Share feature requests and effective workarounds with team members., • Inform customers about new features and functionalities., • Follow up with customers to ensure their technical issues are resolved., • Gather and share customer feedback with our Product, Sales and Marketing teams., • Minimum of 2 years experience as a Customer Service Support or similar CS role., • Proficiency in English, Portuguese and Spanish is a must., • Comfortable in providing customer support across multiple channels including Email, Chat, and region-specific platforms such as WhatsApp., • Experience working within a SaaS environment is required., • Experience using Ticketing Platforms like Zendesk/Freshdesk/Intercom and remote support tools., • Must have a strong understanding of how CRM systems work., • Excellent communication and problem-solving skills., • Ability to demonstrate patience when handling complex queries and challenges., • Flexible to work at night shifts.

About Us We are seeking an AI Solutions Engineer to guide the strategy, architecture, and hands-on development of AI-powered agents, workflows, and automation solutions that materially improve Sales performance. This role combines elements of AI product management, architecture, and hands-on solution development This is a hybrid execution and builder role. You will: • Guide and develop the Sales AI roadmap, • Develop scalable agentic solutions, • Build production-grade AI agents and automations, • Enable citizen developers across Sales, • Serve as the primary AI subject matter expert for the organization You will work at the intersection of Sales, Sales Engineering, Operations, IT Enterprise Architecture, and Development — ensuring AI solutions are practical, secure, scalable, and outcome-driven. This role is critical to enabling sellers and Sales Engineers to operate faster, smarter, and with higher impact across the entire customer lifecycle. Sales AI Strategy and Roadmap • Guide the end-to-end AI strategy for Sales aligned to Sophos’ AI-first framework, • Identify and prioritize high-ROI AI use cases across the Sales lifecycle (discovery, qualification, scoping, proposals, competitive positioning, win/loss, reporting), • Develop and maintain a multi-quarter AI roadmap with clear business impact metrics, • Align initiatives with enterprise architecture, governance, and security standards AI Engineer and Hands-On Development • Architect and build AI agents using Microsoft Copilot Studio, Power Automate, and the broader Power Platform, • Design multi-agent workflows, orchestrations, and structured automation patterns, • Integrate agents with enterprise systems (Salesforce, data warehouses, SharePoint, Teams, internal tooling), • Develop reusable blueprints, templates, and connectors to accelerate future builds, • Prototype rapidly, validate with users, and evolve solutions to production scale, • You will not just ideate – you will build. Cross-Functional Collaboration & Delivery • Partner with the SE Development team to transition prototypes into hardened, scalable production solutions, • Collaborate with IT Enterprise Architecture to ensure governance, compliance, and data security, • Work with Sales, SE Ops, and Business Operations to translate workflows into AI-enabled solutions Enablement, Evangelism & Adoption • Drive adoption through workshops, office hours, and leadership engagement, • Host internal workshops, training sessions, demos, and office hours, • Build prompt guides, how‑to resources, and role‑specific enablement materials, • Act as a champion for AI‑enhanced productivity and best‑practice usage patterns, • Lead the Sophos SE AI Interlock team in partnership with our Product groups Measurement and Continuous Optimization • Define KPIs tied to revenue lift, efficiency gains, cost reduction, and quality improvements, • Implement telemetry and usage tracking for AI agents, • Refine agents based on adoption patterns and performance data, • Publish impact summaries demonstrating measurable business value Required Qualifications • 2+ years of hands‑on experience with Power Automate, Power Apps, or similar low‑code tools, • Experience building AI agents or conversational systems using Copilot Studio or similar tools, • Strong understanding of enterprise integration patterns and APIs, • Experience translating business workflows into automation and AI solutions, • Knowledge of governance, data security, and compliance considerations in enterprise AI, • Experience collaborating with technical delivery teams or developer, • Ability to rapidly prototype, test with users, and iterate based on feedback, • Strong organizational, executive communication, and stakeholder management skills Preferred Experience • Experience in B2B SaaS or cybersecurity Sales environments, • Experience leading AI or automation programs at scale, • Familiarity with agentic AI patterns (orchestration, grounding, document ingestion, action execution), • Experience with Power BI or analytics-driven insight generation, • Experience building internal Centers of Excellence or citizen developer programs In the United States, the base salary for this role ranges from $75,600 to $126,000. In addition to the base salary, there's a component for target sales commissions alongside a comprehensive benefits package. A candidate’s specific pay within this range will depend on a variety of factors, including job-related skills, training, location, experience, relevant education, certifications, and other business and organizational needs. #li-remote #b1 #li-MG1 Ready to Join Us?At Sophos, we believe in the power of diverse perspectives to fuel innovation. Research shows that candidates sometimes hesitate to apply if they don't check every box in a job description. We challenge that notion. Your unique experiences and skills might be exactly what we need to enhance our team. Don't let a checklist hold you back – we encourage you to apply. What's Great About Sophos?· Sophos operates a remote-first working model, making remote work the primary option for most employees. However, some roles may necessitate a hybrid approach. While we are a remote first organization, applicants must have legal authorization to work in the jurisdiction where the position is posted, without requiring employer sponsorship.· Our people – we innovate and create, all of which are accompanied by a great sense of fun and team spirit· Employee-led diversity and inclusion networks that build community and provide education and advocacy· Annual charity and fundraising initiatives and volunteer days for employees to support local communities· Global employee sustainability initiatives to reduce our environmental footprint· Global fitness and trivia competitions to keep our bodies and minds sharp· Global wellbeing days for employees to relax and recharge · Monthly wellbeing webinars and training to support employee health and wellbeing Our Commitment To YouWe’re proud of the diverse and inclusive environment we have at Sophos, and we’re committed to ensuring equality of opportunity. We believe that diversity, combined with excellence, builds a better Sophos, so we encourage applicants who can contribute to the diversity of our team. All applicants will be treated in a fair and equal manner and in accordance with the law regardless of gender, sex, gender reassignment, marital status, race, religion or belief, color, age, military veteran status, disability, pregnancy, maternity or sexual orientation. We want to give you every opportunity to show us your best self, so if there are any adjustments we could make to the recruitment and selection process to support you, please let us know. Data ProtectionIf you choose to explore an opportunity, and subsequently share your CV or other personal details with Sophos, these details will be held by Sophos for 12 months in accordance with our Privacy Policy and used by our recruitment team to contact you regarding this or other relevant opportunities at Sophos. If you would like Sophos to delete or update your details at any time, please follow the steps set out in the Privacy Policy describing your individual rights. For more information on Sophos’ data protection practices, please consult our Privacy Policy ___We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Flosum is a Salesforce-native DevOps and data protection platform serving enterprise Salesforce teams across the Fortune 5000. We are in wartime. Pipeline generation, retention, and product velocity are our three highest-priority problems, and AI is the lever that accelerates all three. We are hiring our first AI Go-to-Market Engineer to architect, deploy, train, and continuously optimize AI agents and automation across the entire revenue engine — from first touch to closed-won to expansion. This is not a "prompt engineering" role. This is a builder role. You will sit at the intersection of revenue operations, sales, marketing, and customer success, and your job is to make every human on the GTM team dramatically more productive by deploying AI systems that generate pipeline, accelerate deals, and reduce churn. You report directly to the CEO. WHAT THIS ROLE MUST DO TO CHANGE FLOSUM'S TRAJECTORY • Deploy and personally train at least one AI SDR agent within the first 30 days — focused on either inbound qualification from Qualified/Marketo or outbound prospecting via Outreach — and run weekly refinement cycles until it outperforms the bottom half of the human BDR bench., • Build an AI-powered inbound qualification system that captures, scores, and routes every website visitor and form fill in real time so no lead waits, no lead gets lost, and AEs only touch prospects that are ready to buy., • Increase revenue-generating time per AE from the current ~25% to 50%+ by automating CRM hygiene, call summarization (via Gong), follow-up sequencing, proposal drafting, and pipeline updates — eliminating every minute of admin work that doesn't directly produce revenue., • Architect the AI layer across Flosum's GTM stack (Salesforce, Marketo, Outreach, Qualified, Gong) so that data flows between systems without manual intervention, every customer touchpoint is captured, and AI agents share learnings in a virtuous loop with Salesforce as the hub., • Build and maintain an AI-driven competitive intelligence engine that monitors our competition, pricing changes, and product launches — and feeds structured insights to sales and product weekly., • Create hyper-personalized outbound campaigns at 10x current volume without proportional headcount increase — using AI to research accounts, generate personalized messaging based on ICP signals (Salesforce team size, current DevOps tooling, compliance requirements like DORA), and sequence multi-channel touches across email, LinkedIn, and phone., • Instrument a closed-loop data feedback system between BDR activity, pipeline outcomes, and AI agent performance so that ICP targeting, messaging, and channel mix improve every week based on actual conversion data — not guesswork., • Deploy AI-assisted customer health scoring and churn prediction models that flag at-risk accounts before renewal, feeding Terry's CS team with actionable intervention triggers tied to usage data, support ticket patterns, and engagement signals., • Prototype AI-powered product-led growth touchpoints — including conversational qualification on the website, self-serve onboarding assistance, and automated nurture for trial users — supporting the PLG motion as it matures. Deep working knowledge of the modern B2B GTM stack — specifically Salesforce (as CRM and data hub), Marketo or equivalent MAP, Outreach or Salesloft, Gong or Chorus, and real-time chat/qualification tools like Qualified or Drift. Ability to write and maintain production integrations — Python, JavaScript, or equivalent — connecting AI agents to CRM, MAP, and sequencing tools via APIs. You don't need to be a software engineer, but you need to ship working code, not just configure no-code tools. Understanding of pipeline math and unit economics: you should be able to work backward from a revenue target to SQLs required, conversion rates by stage, and the specific AI interventions that move each number. If someone says "we need 67 SQLs per quarter at 20% win rate and $75K ASD," you should immediately know where AI can compress that funnel. Experience with AI agent orchestration — managing multiple AI agents working different segments or functions simultaneously, resolving conflicts, preventing duplicate outreach, and maintaining data quality in the hub (Salesforce). Demonstrated ability to build prompt libraries, training datasets, and refinement workflows for AI agents — treating agent training as a discipline, not a one-time setup. Comfort operating in a company doing ~$4M ARR with a small, high-intensity team. You will not have a large support staff. You will do the work yourself and scale through automation, not delegation. Strong opinions on when AI should replace human effort versus augment it — and the judgment to know that bad AI automation destroys deals faster than no automation at all. Familiarity with the Salesforce ecosystem — understanding of DevOps, CI/CD, data protection, and compliance workflows is a major advantage. You don't need to be a Salesforce admin, but you need to understand what our buyers care about and why Why Flosum • Category-defining opportunity: You will shape the future of how enterprises build on Salesforce. This is not incremental; it is transformational., • Direct CEO partnership: You will work shoulder-to-shoulder with a founder who is deeply technical, product-obsessed, and committed to building the best platform in the Salesforce ecosystem., • Fortune 100 customer base: Your product decisions will directly impact how the world's largest and most complex organizations operate., • AI inflection point: Agentforce and autonomous agents are rewriting the rules. Flosum is the first native platform to integrate these capabilities. You will define what comes next., • Missionary culture: We hire people who want to make a dent, not pad a resume. If you are looking for a place where your work matters and your ideas are heard, this is it. Compensation & Benefits • Competitive base salary + performance bonus, • Direct access to Salesforce ecosystem events, conferences (Dreamforce, TrailblazerDX), and customer engagement

Clever is on a mission to connect every student, worldwide, to a world of learning. With our identity platform for education, we serve 77% of U.S. schools and over 1 million K12 students internationally. As a trusted partner for schools and educators, we provide secure, seamless access to digital learning tools that empower students everywhere. Clever, a Kahoot! Company, is headquartered in San Francisco, CA, but our impact extends far beyond. Learn more about us at ___. We are looking for Contract Customer Support Representatives to help us deliver outstanding customer experience for our school district and application partners through fast, friendly, and personalized technical support. If you’re interested in connecting with customers via email and phone calls, growing knowledge of the EdTech industry and Clever’s product, and creatively solving technical issues, this is a great opportunity to do all that while connecting every student to a world of learning. We have a highly collaborative and supportive team. We invest in our people. We have a robust 3-week onboarding program, and then you’ll be in our Quality Assurance program for ongoing development. We want to make you successful and have structures in place to support you! This is a contract opportunity that begins on May 18 or June 15 and concludes on September 25, 2026 A DAY IN THE LIFE: • Independently manage and prioritize high seasonal volume of customer support requests via phone and email from your individual queue (handle around 40+ phone and email cases a day)., • Communicate with District Administrators and our Application Partners to resolve product-related issues as our customers are getting their Clever accounts ready for the new school year., • Utilize analytical and problem-solving skills to investigate, test, and troubleshoot system features., • Navigate and contribute to internal and external product documentation., • Collaborate and support the team by sharing ideas and knowledge, being a reliable team member, and willing to help others when needed. Interested to learn more? Check out our blog post on ___ WHAT WE’RE LOOKING FOR: • Experience in fast-paced customer-facing positions: you have worked email or phone support before and can independently assess, manage and prioritize support requests based on need (i.e. priority levels, deadline) and risk., • Passion for solving technical problems to help others: you work deeply to understand customers' perspectives to assess their needs and define technical solutions to help them achieve their goals.., • Comfort navigating ambiguity: you may encounter problems or situations that we have not seen before – you are comfortable with partnering with the customer to find a solution and document learnings., • Excellent communication skills: you can explain technical concepts to both technical and non-technical audiences and can communicate and empathize with stakeholders to drive issues to resolution., • Technical Prowess: You pick up new technology quickly and love learning how things work., • Team player: You are passionate about uplifting and collaborating with others to ensure the team and customers are successful., • Interest in education: You believe in Clever’s mission of making it easy to bring great software to the classroom., • Bonus:, • Experience handling issues related to data imports and integrations, • Experience working with Single Sign On (SSO) or have a basic understanding of SSO, • Experience working with or in K-12 schools or districts, • Experience with industry tools such as Salesforce, Slack, Guru, Confluence, Chartio, etc, • Ability to work during one of the following shifts (Monday - Friday):, • 7am - 3:30pm ET, • 9am - 5:30pm ET, • Ability to work overtime: during mid-August through mid-September, it is expected to work up to 2-4 hours of overtime a day (overtime paid at 1.5x hourly rate). SALARY TRANSPARENCY: Compensation for this role for candidates living in the United States, excluding NYC, NY and San Francisco, CA, is $26 per hour. Compensation for this role for candidates living in NYC, NY and San Francisco, CA, is $29 per hour. INCLUSION AND BELONGING: Clever believes classrooms and our company should be diverse and inclusive. We celebrate actions that build diverse teams, include every voice, and create safe spaces for everyone to bring their authentic selves to work. NOTICE OF ARTIFICIAL INTELLIGENCE USE IN HIRING Please note that Clever Inc. (“Clever”) uses artificial intelligence (AI) tools as part of our hiring process for certain positions. AI Systems Used: • Willo.ai (developed by Willo) - Used for candidate assessments, • BrightHire Screen (developed by BrightHire) - Used for initial phone screening, • Granola.ai (developed by Granola) - Used for AI-powered transcription and note-taking. Employment Decisions Affected: Recruitment and hiring Purpose and Data Collected: • The assessment tool evaluates candidate responses to [e.g., skills questions, situational judgment scenarios] and generates scores that are reviewed by human recruiters, • The conversational bot conducts initial phone screenings, collecting candidate responses to preliminary qualification questions, which are then reviewed by human recruiters, • The AI Note-Taking tool allows our interviewers to focus entirely on our conversation rather than manual typing. These transcripts are used solely for internal evaluation and are handled in accordance with our data privacy policy. Human Review: All AI-generated outputs are reviewed by human decision-makers before any hiring decisions are made. Contact: For questions about our use of AI in hiring, contact our Talent Acquisition Team at ___. Accommodation Requests: If you require a reasonable accommodation related to our use of AI tools or if you are applying from a jurisdiction which gives you specific rights to opt out of AI review and you would like to use that right, please contact our Talent Acquisition Team at ___ to request an alternative assessment process. Non-Discrimination Statement: Clever does not use AI for any employment decision that has the effect of subjecting employees or applicants to discrimination on the basis of any class protected under the Illinois Human Rights Act, nor do we use zip codes as a proxy for protected classes. Clever does not conduct interviews via text or Telegram. We will never ask for your financial information or reimbursement of equipment of any kind. If you receive any communications regarding employment with Clever that you think might be a scam, please email ___ If you are a resident of Colorado, please note you have the right to redact your age-related information like age, birth date, or dates of schooling.

📍 Locations: San Francisco (Hybrid), New York (Hybrid), Columbus (Hybrid), or Remote (US) We’re hiring an AI Engineer to shape how AI shows up across ReadMe’s product: from how developers explore and understand APIs to how companies author and maintain their documentation. We’re at the forefront of a major shift in developer experience: * AI agents need APIs to talk to each other, and those APIs need to be understandable, structured, and explorable * At the same time, writers and developers are looking for better ways to generate and maintain documentation with AI We're a small team of humans (and___) working together to do big things — and that’s where you come in. In this role you’ll have a transformational impact on ReadMe across both the trajectory of the business and our thriving culture. ReadMe helps more than 5,000 leading startups and tech companies build beautiful, personalized, and interactive developer hubs. If you’ve ever visited the developer docs for PagerDuty, Samsara, or Nvidia, you’ve used ReadMe! We love what we do because it’s so much more than just documentation. We’re providing tools for teams to build a better developer experience and make their products and APIs easier to use. We’ve got great support from our investors at Accel who led our___, and___ reflects the open, caring, and whimsical culture we want to maintain as we scale. This isn’t a feature team where a PM hands you tickets. You’ll help decide what gets built, why it matters, and how it works end-to-end. You’ll work on systems that are already live across thousands of developer hubs and define what they become next. ReadMe's AI surface spans three bets we're doubling down on: * Documentation that writes itself. AI that watches code change and keeps docs current — from PR-level suggestions to org-wide audits that surface and fix quality issues at scale. * Answers, not search results. A conversational layer embedded directly in developer hubs, grounded in real docs, that gives developers the right answer instead of a list of links to dig through. * APIs that are agent-ready. As AI agents increasingly talk to APIs, the structure and clarity of those specs matters more than ever. We're building the systems that make APIs understandable by both humans and machines. Day to day, you’ll: * Design end-to-end AI systems: combining LLMs, embeddings, retrieval pipelines, and structured outputs into reliable product features. * Build grounding and retrieval layers: indexing docs, OpenAPI specs, and customer data to support accurate, context-aware generation. * Define evaluation systems: measuring accuracy, latency, cost, and user impact; building feedback loops to continuously improve quality. * Handle real-world complexity: malformed specs, inconsistent docs, edge-case APIs, and ambiguous user queries. * Make architectural tradeoffs: latency vs. quality, cost vs. coverage, deterministic vs. generative approaches. * Own production reliability: observability, fallbacks, rate limiting, and safe degradation when systems fail. * Work across the stack: from model orchestration and backend systems to the UI surfaces that expose them. * Want to own meaningful systems end-to-end, not just features. * Care deeply about developer experience and documentation quality. * Enjoy working on problems where AI, APIs, and product design intersect. * Have strong instincts about what makes AI actually useful and where the industry is headed. * Experience building with LLMs in production, not just prototypes. * Strong JavaScript/TypeScript or Python experience. * Experience working with: * Embeddings and retrieval systems (RAG). * Prompting and structured outputs. * Evaluation and iteration of AI systems (quality, latency, cost). * Comfort working with APIs and structured data (JSON, OpenAPI, schemas). * Experience designing and shipping end-to-end systems, from backend pipelines to user-facing product surfaces. * Strong instincts around when to use AI vs. deterministic approaches. * Experience improving AI reliability, observability, and production readiness. * Familiarity with real-world edge cases (messy data, inconsistent inputs, ambiguous queries) and how to handle them. * Build a deep understanding of ReadMe’s AI systems and product surfaces. * Ship meaningful improvements to existing AI features. * Get close to real customer workflows and pain points. * Own a core part of one of our AI systems. * Drive improvements in quality, reliability, and user experience. * Contribute to product and technical direction. * Be a key driver of AI across the product. * Ship systems used daily by thousands of developers and teams. * Help define how AI reshapes developer hubs and API workflows. * We can’t wait to read your resume and (hopefully personality-filled) cover letter! Let us know what excites you about full stack engineering, and help us get to know you better! * If we think we might be a good fit for you, we’ll set up a 30 minute phone chat with our VP Engineering Moses! He’ll tell you more about the role, and get a chance to hear about your experiences. * Next will be a second 30 minute phone interview with Davin, one of our Engineering Managers, where we’ll dive a bit more into your background. * We’ll then do a technical assessment with a couple of ReadMe engineers. * Finally we’ll invite you to an "onsite" interview conducted over Zoom! These usually take 3.5 to 5 hours including an hour break in between. We are able to be flexible with the schedule and split it up over two days if that works best for you! We start with a 15-minute get-to-know-you with the people you’ll be interviewing with, and then have you talk with people one-on-one later on. * We’ll let you know how things went within a week! If it still seems like a good fit all around, we’ll extend you an offer! If not, we will update you to let you know so you aren’t left hanging. * Unlimited PTO with a three-week minimum. 🏝️ * Fully covered medical, dental, and vision insurance for you, and 100% for your dependents. * A One Medical membership. 👨‍⚕️ * A gym or fitness stipend of up to $150 per month. 🏋️‍♀️ * One-to-one donation matching of up to $1,000 per year. 💸 * Twelve weeks of paid parental leave after the birth or adoption of a child. 🐣 * Work from home. 🏠 * Three offsite retreats per year to get together with coworkers and plan for the quarter ahead. ✈️ * Take a look at our___ for more information on our benefits! 📘 Not sure if you’d be the right fit? Apply anyway! We’d love to see your application. At ReadMe, we’re committed to cultivating a diverse and inclusive workplace. We welcome people of all different backgrounds, experiences, abilities, and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work. We'd love to have you come join us here! ReadMe is open to hiring folks fully remote in the US, hybrid, or in-person at our New York or San Francisco HQ.

The Community You Will Join: Airbnb’s mission is to create a world where anyone can belong anywhere. Essential to this mission is the ability to have authentic conversations with members of a global community. The Messaging Foundations team builds the platform that powers these conversations. As a Senior Software Engineer on the team, you will build innovative products, architect scalable solutions, collaborate across organizations, and help shape our roadmap - ensuring that our global community of guests and hosts can communicate seamlessly, wherever they are. The Difference You Will Make: You will build and operate the reliable, performant, and scalable infrastructure that powers all messaging experiences across Airbnb. You will build a platform that enables product teams across Airbnb to innovate new conversational experiences faster. You will support and deliver AI-powered features as part of the messaging intelligence platform, driving improvements in trip quality and reducing host effort through contextual assistance. A Typical Day: • Lead multiple projects that improve the messaging experience, • Mentor, guide, advocate and support the career growth of individual contributors, • Write and review technical designs that solve large, open-ended foundational technical problems without clearly-known solutions, • Collaborate with other engineers and cross-functional partners across Messaging and other organizations across the company to align on long-term technical solutions, • Build knowledge of leading edge practices and trends, • Drive key technical deliverables for the larger Communications organization Your Expertise: • 5+ years of relevant engineering hands-on work experience, • Bachelor’s, Master’s or PhD in CS or related field, • Exceptional architecture abilities and experience with architectural patterns of large, high-scale applications, • Shipped several large scale projects with multiple dependencies across teams, • Has technical leadership and strong communication skills with ability to lead other experienced engineers Your Location: This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. ___ . If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from. Our Commitment To Inclusion & Belonging: Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: ___. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.

Stay ahead of emerging trends in Generative AI, conversational AI, and voice UX to inform product strategy and innovation roadmap. Proven, hands-on experience designing, launching, and scaling voice automation or conversational AI products, such as AI-powered IVRs, virtual assistants, or multimodal

At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite. Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform. The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world. * Co-architect and co-build production AI agents with customer engineering teams * Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations * Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows * Advise customers post-sale on architecture, best practices, and roadmap-level decisions * Run technical demos, trainings, and workshops for developer audiences * Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers * Occasionally contribute code upstream when it meaningfully improves customer outcomes * 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up * Strong Python, JavaScript and systems fundamentals * Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling * Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations * Can explain technical tradeoffs clearly and build trust with developer audiences * Take responsibility for outcomes, not just recommendations * Have a bias toward action and enjoy figuring things out as you go * Are excited about operating AI agents in production, not just building demos * You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks * Worked with LLM evaluation, observability, or guardrails * Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts * Have shipped and operated production software and are comfortable owning systems under real-world constraints We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like 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. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. Annual OTE range: $150,000–$250,000 USD

Document systems and features to support long-term maintainability. Exposure to voice AI, conversational AI, or real-time systems. Write and maintain tests for critical workflows.

At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you. So, what’s the role all about? We are looking for a Technical Customer Success Specialist to support our Customer Success Managers (CSMs) by providing deep technical expertise across a portfolio of enterprise customers. This role is designed to scale technical knowledge across the Customer Success organization and act as a technical backbone for day-to-day account engagement. You will work in a one-to-many model, partnering with multiple CSMs and supporting approximately 30–50 customer accounts. Your focus will be on answering technical questions, advising on best practices, and helping customers successfully design, operate, and optimize conversational AI solutions built on the Cognigy platform. This role sits at the intersection of Customer Success, Product, and Conversational AI expertise. How will you make an impact? • Act as a shared technical resource for CSMs across multiple enterprise accounts, • Support CSMs with technical topics related to platform usage, solution design, product functionality, demos and best practice, • Provide timely responses to technical questions from CSMs and, where appropriate, directly from customers, • Serve as an escalation point for complex “how does this work” or “how should we do this” questions Conversational AI & Platform Expertise • Advise customers on conversational AI best practices, including dialog design, intent modeling, and flow orchestration, • Support NLU configuration, training, testing, and optimization, • Provide guidance on the application of generative AI and agentic AI concepts within enterprise conversational solutions, • Help customers understand platform capabilities, limitations, and recommended patterns Contact Center & Enterprise Context • Support customers operating conversational AI solutions within contact center environments (voice and digital), • Provide high-level guidance on integrations with CCaaS, CRM, and backend systems, • Help customers troubleshoot issues related to conversation behavior, routing, and experience design Collaboration & Feedback Loop • Collaborate closely with Support, Product, Engineering, and Professional Services to resolve customer issues, • Identify recurring themes, gaps, or improvement opportunities and feed insights back to internal teams, • Contribute to internal documentation, enablement materials, and best-practice guides for CSMs Scale & Efficiency • Help standardize technical guidance across the customer base, • Enable CSMs to handle more technical conversations independently over time, • Improve internal processes and documentation to support a growing enterprise customer footprint Have you got what it takes? • 3–5 years of experience in conversational AI, virtual agents, or intelligent automation, • Experience in a customer-facing technical role (Customer Success, Solution Consulting, Technical Support, or Professional Services), • Experience supporting enterprise customers in a one-to-many or scaled model Technical Expertise • Strong understanding of conversational AI fundamentals, including:, • NLU concepts (intents, entities, training data, evaluation), • Generative AI and LLM-based conversational systems, • Agentic AI and multi-step orchestration patterns, • Solid understanding of contact center operations and customer service workflows, • Ability to analyze conversational behavior and explain technical concepts to non-technical stakeholders Personal Attributes • Structured, organized, and comfortable juggling multiple customers and priorities, • Clear communicator with a pragmatic, solution-oriented mindset, • Curious and eager to stay current with advancements in conversational and generative AI, • Strong sense of ownership and customer focus You will have an advantage if you also have: • Hands-on experience with enterprise conversational AI platforms, • Familiarity with Cognigy or similar products, • Experience working with voice automation and CCaaS integrations About Cognigy NiCE Cognigy delivers AI that works—fast, human, and enterprise-ready. As the leading AI-first CX platform built for real-world scale, we combine Generative and Conversational AI through orchestration, tools, and enterprise systems to power Agentic AI. Backed by global CX leader NiCE, we empower brands with AI Agents that redefine customer experiences and achieve measurable ROI—instantly, across every channel and in 100+ languages. Requisition ID: 10131 Reporting into: Team Lead, CSM Role Type: Individual Contributor About NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.

LiveKit is building the infrastructure layer for the voice-driven era of computing. Our platform gives developers everything they need to build, test, deploy, scale, and observe agents in production. Founded in 2021, LiveKit powers voice AI applications for OpenAI, xAI, Salesforce, Coursera, Spotify, and thousands of others, collectively facilitating billions of calls each year. * are obsessed with helping developers succeed * are known as the go-to person for solving tricky technical issues * work hard and can move fast without sacrificing quality * care deeply about polish, detail, and clear communication * are a fast learner, frequently picking up new tools, systems, and skills The best way to impress us is by showing how you help others unblock themselves—and maybe by tinkering with LiveKit along the way 😊 LiveKit is seeking a Forward Deployed Engineer (FDE) to work directly with customers building real-time communication and voice AI applications on the LiveKit platform. This role sits at the intersection of engineering, architecture, and customer implementation. Forward Deployed Engineers partner closely with customers to design systems, prototype solutions, and solve complex technical challenges as teams move from experimentation to production. You’ll work alongside customers’ engineering teams to help them successfully deploy and scale applications built on LiveKit. That may include designing architectures, building integrations, debugging production issues, or developing reference implementations that demonstrate best practices. This is an ideal role for engineers who enjoy solving real-world problems in real customer environments. You’ll collaborate closely with Product and Engineering to surface insights from customer implementations and help shape the future of the LiveKit platform. Your mission: make it seamless for developers to build and scale real-time audio, video, and AI applications on LiveKit. * Work directly with customer engineering teams to design and implement real-time applications built on LiveKit. * Design scalable architectures for voice AI, real-time media, and developer platform use cases. * Build prototype integrations, reference implementations, and sample applications to accelerate customer development. * Help customers navigate SDKs, APIs, infrastructure, and deployment strategies for production systems. * Debug and troubleshoot complex technical issues in production environments. * Lead technical workshops and architecture sessions with developers and product teams. * Translate customer needs into technical insights that inform product and platform development. * Partner with Product and Engineering to improve developer experience, documentation, and tooling. * Contribute code, examples, or improvements to LiveKit’s open-source ecosystem when helpful. * Act as a trusted advisor helping customers successfully launch and scale applications on LiveKit. * Strong engineering background with 5+ years of experience in backend or infrastructure engineering. * Proficient in one or more programming languages such as Go, Python, Node, Rust, or C++. * Comfortable working across APIs, SDKs, distributed systems, and cloud infrastructure. * Experience building or integrating developer platforms or real-time systems. * Able to quickly understand complex systems and debug issues in real-world environments. * Strong communicator who can collaborate directly with customer engineering teams and internal product teams. * Comfortable operating in fast-paced, low-process environments where ownership and initiative matter. * Excited to work hands-on with customers solving complex technical implementation challenges. * Experience with WebRTC, real-time media systems, or telephony/SIP infrastructure. * Familiarity with voice AI, conversational agents, or AI infrastructure. * Experience working in customer-facing engineering roles such as Solutions Engineer, Field Engineer, or Forward Deployed Engineer. * Experience contributing to open-source projects or developer ecosystems. * Previous experience building with or integrating LiveKit. * The opportunity to build technology powering the next generation of real-time and voice AI applications * Work alongside world-class engineers and open-source contributors * Competitive salary and equity package * Health, dental, and vision benefits * Flexible vacation policy

Conversica is looking for a Technical Product Manager to help drive clarity and momentum across our platform as we continue to scale our AI-powered conversational intelligence products. This is a U.S.-based, remote role, and Conversica operates as a fully remote company. This role is ideal for a technically fluent product leader who enjoys diving into APIs, data models, and system behavior, and who thrives in close partnership with Engineering. You will play a key role in shaping shared platform capabilities, informing product decisions across multiple verticals, and helping teams move faster by reducing ambiguity. This role is best suited for someone who enjoys hands-on technical exploration, collaborative problem-solving, and working in a fast-moving, evolving environment. • Partner closely with Engineering leaders to define, scope, and support technically complex, platform-oriented initiatives, • Independently explore and evaluate APIs, data models, platform services, and AI-enabled capabilities to inform product decisions, • Translate architectural concepts, system constraints, and technical findings into clear product requirements and backlog items, • Own backlog refinement, technical requirements, dependency mapping, and cross-team coordination for platform and infrastructure-related work, • Serve as a technical product partner for shared capabilities used across multiple product areas and verticals, • Proactively identify and surface technical risks, trade-offs, and sequencing considerations, • Improve delivery velocity and decision quality by reducing ambiguity between Product and Engineering, • Support vertical Product Managers by providing system-level and technical insight that enables faster, better-informed execution, • 5–8+ years of experience in Product Management, Technical Product Management, or a related technical role, • Demonstrated technical aptitude, including prior experience as a software engineer, engineering manager, solutions architect, or equivalent hands-on technical role, • Strong understanding of APIs, data systems, and modern SaaS architectures, • Comfortable independently exploring systems, reviewing APIs, and forming technical opinions based on direct investigation, • Proven experience partnering closely with Engineering teams on complex, multi-system initiatives, • Ability to operate proactively and independently in an evolving, resource-constrained environment, • Familiarity with AI-enabled systems, applied machine learning, or data platforms in production environments, • Experience working in B2B SaaS environments; familiarity with CRM or marketing automation systems is a plus

___ is hiring a Senior Product Manager with health system experience to develop and lead innovative product strategies for clients like Emory Healthcare, Children’s Nebraska, and Prisma Health. Healthcare is complex, deeply human work, and we’re seeking a seasoned product leader who understands the operational realities of health systems and the needs of patients and communities, and can turn that insight into thoughtful, effective digital products that deliver real results. You’ll have an opportunity to join a growing ___ on a mission to improve digital access and equity in healthcare. Your Responsibilities Senior Product Managers at Reason One own the product from strategy through delivery. You'll be part of a fully cross-functional team, working alongside account directors, project managers, designers, content strategists, and developers daily. You'll develop a deep understanding of each client and their users, own the product roadmap, and ensure the work delivers the outcomes the client is investing in. Product Strategy & Definition Whether you’re shaping a new digital product from scratch or driving the continuous improvement of something already shipped, you own the strategic foundation: • Partner with clients and stakeholders to define what the digital product needs to accomplish - for the organization and for its users - and establish the goals and success metrics (KPIs) that will measure it. For new builds, this means shaping that definition from the ground up; for existing products, it means evaluating current performance and identifying what needs to evolve, • Conduct market research, competitive analysis, analytics reviews, and site audits to surface opportunities - both for initial product definition and for ongoing optimization of live digital experiences, • Develop and maintain the product roadmap, including delivery items, sprint breakdown, and milestones; for continuous innovation engagements, prioritize enhancements based on user data, client feedback, and business impact, • Define detailed product requirements and user stories for net-new features as well as iterative improvements to existing functionality, • Manage client expectations and product scope throughout project lifecycle, • Serve as the client advocate when collaborating with internal teams on product and UX decisions - keeping the team grounded in the client's needs, constraints, and user realities, and ensuring we're delivering the value and outcomes the client is investing in Product Delivery & Oversight Once implementation begins, you shift into delivery mode - ensuring the backlog is healthy, stories are ready, and the team has what they need: • Maintain a healthy backlog: stories authored, split, reviewed, and approved at least two sprints ahead of development, • Collaborate closely with the tech lead and dev team during implementation, providing product context and making scope decisions as they arise, • Post-launch, accountable for how the product evolves - synthesizing inputs from across the team (analytics from Marketing & Optimization, technical considerations from Tech leads, user feedback) to prioritize what gets improved, when, and why Practice & Culture • Work closely with Account Directors and Project Managers to maintain clear ownership across roles. You own the product direction and backlog - budget, schedule, and account management sit with your AD and PM counterparts., • Collaborate with product management peers to push the practice forward, • Contribute to our shared healthcare knowledge base and reusable product foundations - helping capture what we know and building the templates, patterns, and components that accelerate delivery across engagements, • Participate in Reason One’s B Corp mandate to improve our social and environmental impact How We Measure Success We believe in clear expectations. Here’s how performance in this role is measured: • Product Success: At least 75% of established product KPIs and goals are met, • Roadmap Completeness: Product roadmap is fully developed - delivery items, sprint breakdown, and milestones - before implementation begins, • Backlog Health: User stories are completed at least two sprints in advance throughout the implementation phase What We’re Looking For • 5+ years of experience as a Product Manager, Product Owner, or similar role, • At least 3 years of healthcare digital experience, either agency-side or system-side (managing digital products at a healthcare organization), • Familiar with the clinical and operational platforms common in healthcare digital, such as EHR systems (Epic, Cerner), patient portals (MyChart), provider management tools (Kyruus Health, DexCare, Sparkle) etc., • Familiar with common platform approaches to delivering digital experiences, such as delivering on hybrid platforms (more all-in-one solutions like Sitecore, Optimizely, or Kentico), to fully composable approaches using specialist platforms for each concern (Storyblok for CMS, Coveo for Search, VWO for personalization, Jotform for HIPAA compliant forms etc.), • Can connect business goals, user needs, approach, and feasibility to make sound product decisions across the full project lifecycle, • Experienced in discovery and requirements gathering, including stakeholder interviews, user research synthesis, and requirements workshops, • Can write, split, and prioritize user stories that delivery teams can work from, • Comfortable using analytics and performance data to shape product strategy, • Experience with post-launch optimization and evolving live products (e.g. A/B testing, conversion optimization), • Has experience evolving live products, not just launching and moving on, • Can align and communicate across clinical, marketing, IT, and technical stakeholders, translating between audiences and driving shared goals, • Experience working in cross-functional teams to deliver successful digital work, • Experience working in agile and waterfall methodologies and an understanding of how a Product Manager fits into both, • Can manage priorities across multiple clients or engagements simultaneously Nice to Have • Knowledge of accessibility standards and experience implementing them, • Experience using AI tools in your workflow to accelerate prototyping, research synthesis, or other product management activities, • Experience identifying opportunities and delivering AI capabilities to client digital products (e.g. intelligent search, personalization, conversational UI), • Sales experience - contributing to RFP responses, scoping engagements, or presenting in pitches Why Reason One Whether you’re coming from a large agency or a health system, you’ll find greater ownership, more variety, and less bureaucracy here, along with a team committed to making a positive impact through its work. The Practicals • Location: Fully remote, work-from-home., • Status: Must reside and be eligible to work in the US or Canada. No exceptions., • Core hours: 9 AM–5 PM EST, • Start date: As soon as possible, • Reports to: Director of Marketing & Optimization Compensation & Benefits • Annual Salary from $110,000 - $130,000 based on experience and qualifications, • 401(k) - 3% of salary after 6 months of employment, • Health Insurance, including Dental Benefit & Vision, • Accidental Death and Dismemberment Benefit, Basic Life Benefit, • Long Term Disability and Short Term Disability Benefit, • Employee assistance program, • Parental leave program - Up to 12 weeks for birthing parent, and up to 6 weeks for non birthing or adoptive parent, • Paid Vacation days—15 days per year, • Paid Sick leave—6 days per year, • Paid Volunteer days—2 days per year, • $200 USD home office stipend per year, including $50 monthly internet stipend, • Training allowance of $800 USD a year and professional development opportunities like conferences and continuing education, • A laptop is provided Equal Opportunity Reason One is an equal opportunity employer. We strive to make employment decisions at every stage—from application to termination—based on merit. We believe an equitable, diverse, and inclusive workplace is one where all workers, whatever their gender, race, ethnicity, national origin, age, sexual orientation or identity, education, or disability, feel valued and respected. Applicants with disabilities who are qualified and selected for an interview will be accommodated upon request. If we can offer reasonable accommodations in the application or interview process, or if you have feedback on how we could improve the equity or accessibility of our recruitment, please contact us with the subject line “Accommodation Request – Senior Product Manager.”

Valsoft builds and scales vertical market software companies. We partner with strong teams, invest for the long term, and run disciplined operating systems to drive sustainable growth across our portfolio. Carla AI is an AI powered voice agent that handles inbound calls, takes reservations, processes payments, and delivers 24/7 customer support, all without human intervention. When a situation requires a human touch, Carla seamlessly transfers the call with full context. Carla was purpose built for the rental industry, starting with car rental operators across North America. Our platform integrates directly with rental management systems, giving operators instant call answering, real time availability checks, automated booking workflows, and a live performance dashboard. We are now establishing Carla AI as an independent business unit with its own leadership team, with ambitions to expand into the broader rental and services verticals. This is a ground floor opportunity to join a product that already works, at the moment it begins to scale. We’re hiring a Customer Success Manager to own onboarding, adoption, and retention for Carla AI’s growing customer base. This is a hands on role for someone who enjoys working directly with customers, understands how operators run their day to day business, and can turn a new sign up into a long term, high value relationship. You’ll be responsible for taking customers from contract signed through to fully operational: configuring Carla for their business, training their teams on the dashboard and knowledge base, monitoring adoption, and ensuring they see measurable value from the product. Once live, you’ll own the ongoing relationship, driving retention, identifying expansion opportunities, and acting as the customer’s voice back into the business. You’ll work closely with the CEO of Carla AI and cross functional stakeholders across Sales, Product, Engineering, and Partnerships. As one of the first customer facing hires, you’ll have a direct hand in shaping the onboarding playbook, defining what great looks like for customer health, and building the success function from the ground up. • Lead new customers through implementation: configuring Carla for their business, integrating with their rental management system, setting up the knowledge base, transfer rules, opening hours, and greeting flows., • Train customer teams on the Carla AI dashboard, analytics, call review, and configuration tools so they can self serve day to day., • Define and track activation milestones to ensure every customer reaches first value quickly: calls answered, bookings created, time saved., • Build and refine repeatable onboarding playbooks, documentation, and training materials as the customer base grows., • Own the ongoing customer relationship post onboarding: regular check ins, business reviews, and proactive outreach based on usage and performance data., • Monitor customer health metrics such as call volume, booking conversion, feature adoption, and dashboard engagement to spot risks early and act on them., • Manage renewals and ensure customers continue to see value as their business and Carla’s capabilities evolve., • Handle escalations with empathy and urgency, coordinating with Product and Engineering to resolve issues and close the loop with the customer., • Spot opportunities to expand usage within existing accounts: additional locations, higher tier plans, new features, or broader use cases., • Share structured customer feedback with Product and leadership to inform roadmap priorities, packaging decisions, and new vertical exploration., • Collaborate with Sales and Partnerships to support case studies, references, and customer stories that fuel new business growth., • Establish the foundations of the customer success operation: health scoring, onboarding workflows, renewal tracking, and escalation processes., • Maintain accurate customer records, notes, and lifecycle data in CRM (HubSpot)., • Contribute to building a knowledge base of best practices, FAQs, and self service resources for customers., • You’ve onboarded your first cohort of customers and they are live, with Carla answering calls and creating bookings., • A repeatable onboarding playbook is documented and being refined based on real customer feedback., • Customer health tracking is in place and you have clear visibility into adoption and engagement across your accounts., • You’ve built trusted relationships with early customers and are their go to contact for anything Carla related., • Customer retention is strong: the majority of customers onboarded are renewing and actively using the product., • Onboarding time to value has improved measurably through playbook iteration and process refinement., • You’ve identified and supported expansion within existing accounts, contributing to revenue growth beyond initial contracts., • Customer feedback loops are producing actionable insights that are influencing product and go to market decisions., • The customer success function has clear processes, health metrics, and documentation that could support scaling the team., • 2 to 4 years of experience in customer success, account management, or implementation within B2B SaaS., • Demonstrated ability to onboard and retain customers, with a track record of driving adoption and reducing churn., • Strong project management instincts: comfortable managing multiple customer implementations and timelines simultaneously., • Excellent communication skills, both written and verbal, with the ability to train, present, and build trust with operators who are not necessarily technical., • Proactive and empathetic: you anticipate customer needs rather than waiting for escalations., • Comfortable working with data to monitor customer health, spot trends, and inform decisions., • CRM experience (HubSpot, Salesforce, or equivalent)., • Self motivated, detail oriented, and comfortable working autonomously in a fast paced, evolving environment., • Experience in the rental industry (car rental, equipment rental, fleet management) or adjacent verticals such as automotive, travel tech, or mobility is a strong plus., • Experience onboarding customers onto AI, automation, or voice/conversational technology products., • Experience building or materially improving customer success processes, playbooks, or health scoring from scratch., • Familiarity with SaaS products and API based integrations, enough to guide customers through configuration without needing engineering support for every question., • Startup or early stage SaaS experience where you had to build the function, not just run it., • Be the first dedicated customer success hire for an AI product that customers can see and hear working from day one., • Ground floor opportunity: shape the entire post sale experience as the business establishes its own leadership team and scales its customer base., • Direct influence on onboarding design, customer health frameworks, and product direction through the feedback you bring back from the field., • Work with a product that delivers immediate, measurable value to operators: every call answered, every booking captured, every minute saved., • Backed by Valsoft / Aspire Software, combining the stability of a global portfolio with the pace and ownership of a startup., • Competitive compensation and strong growth potential as the customer success function scales. #AspireSoftware #CarlaAI

Job details About Us: The people of Memorial Sloan Kettering Cancer Center (MSK) are united by a singular mission: ending cancer for life. Our specialized care teams provide personalized, compassionate, expert care to patients of all ages. Informed by basic research done at our Sloan Kettering Institute, scientists across MSK collaborate to conduct innovative translational and clinical research that is driving a revolution in our understanding of cancer as a disease and improving the ability to prevent, diagnose, and treat it. MSK is dedicated to training the next generation of scientists and clinicians, who go on to pursueour missionat MSK and around the globe. Exciting Opportunity at MSK:Principal Product Manager, AI Solutions Within the broader Digital Informatics and Technology Solutions (DigITs) organization, the Product Management team oversees product strategy, execution, and adoption for large scale digital solutions that support MSK employees, clinicians, researchers, and health consumers. We empower our clinicians and patients with digital tools that support the bestoutcomesand we support our researchers in their efforts to forgenew territoryin precision oncology. We arehiring fora Principal Product Manager, AI Solutions. We are looking for a candidate with a passion for enabling data-driven organizations at scale with a proventrack recorddelivering data solutions in the AI/ML domain. This individual willbe responsible forleading the entire lifecycle of AI-driven products, from conception and strategic planning to execution, launch, and optimization, as driven by needs from across the MSK organization.This role requires a unique blend of product management fundamentals with deep knowledge of AI technologies, data, and machine learning models. Role Overview * Partner with business leaders to align AI product strategy with enterpriseobjectives, building shared vision, prioritization alignment, and actionable roadmaps. * Own the AI product lifecycle from ideation and validation through delivery, launch, adoption, and continuous improvement. * Translate strategic priorities into clear use cases, feature requirements, and executable delivery plans. * Establish measurable frameworks to evaluate business value, model performance, and product impact beyond traditional metrics. * Serve as the connective layer across data science, engineering, design, and business stakeholders to drive clarity and momentum. * Collaborate with AI engineers and data scientists to define requirements,validatefeasibility, andoptimizesolution design. * Guidetrade-off decisions across scope, timeline, and investment whilemaintainingdelivery accountability. * Partner with engineering teams to design scalable data pipelines and support model evaluation and operational readiness. * Ensure responsible and ethical AI usage aligned with organizational governance standards and best practices. Key Qualifications * 7+ years of product management experience in data-driven or technology-enabled product environments. * Hands-on experience with Generative AI, large language models, and conversational AI platforms. * Strong working knowledge of machine learning concepts, data science practices, and AI development lifecycles. * Demonstrated experience defining success metrics and evaluating model and product performance. * Experienceoperatingwithin healthcare or similarly regulated environments preferred. Core Skills * Strategic thinking combined with strong execution discipline anddeliveryownership. * Exceptional collaboration, influence, and stakeholder alignment capabilities. * Ability to translate complex technical concepts into clear business outcomes and decisions. * Strong organizational skills with a results-driven, action-oriented mindset. Additional Information: * Schedule: Hybrid; Tuesday-Wednesday on site * Location: 633 Third Avenue, New York, NY * Reporting to:Senior Director, Product Management Helpful Links: Pay Range: $149,200.00 - $246,300.00 FSLA Status: Exempt Closing: At MSK, we believe in fair, competitive pay that reflects your job, experience, and skills. MSK is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status or any other factor which cannot lawfully be used as a basis for an employment decision. Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

Job DescriptionAI Agent Engineer — CollectWise Location: Manhattan, NY (Onsite) | Compensation: $200,000 – $300,000 | Equity: 0.25% – 1% About CollectWise CollectWise is a YC-backed startup using generative AI to automate debt collection in a $35B US market. Their AI agents are already outperforming human collectors by 2x at significantly lower cost. With a team of five, they have scaled to a $2M annualized run rate and are targeting $10M ARR within the year. The Role This role owns the full voice AI stack end-to-end. You will design and build real-time conversational agent systems that operate at production scale across millions of interactions. The role combines infrastructure engineering, prompt engineering, and applied AI in a highly regulated environment. What You'll Do • Build and own voice AI infrastructure on top of LiveKit, • Design orchestration systems including state management, latency optimization, and reliability, • Own prompting strategy including conversation flows, tone, compliance-safe language, and edge-case handling, • Develop evaluation frameworks including A/B testing, regression testing, and KPI tracking, • Continuously improve voice agent performance using real-world call data and outcomes, • Optimize ASR, STT, TTS, turn-taking, and interruption handling, • Build scalable systems supporting millions of voice interactions, • Migrate legacy implementations to modern voice AI infrastructure, • Collaborate with product, operations, and leadership to align technical systems with business outcomesWhat We're Looking For, • 2+ years experience in voice AI, conversational AI, prompt engineering, or speech systems, • 3+ years experience in backend, platform, or infrastructure engineering, • Strong experience with Node.js, AWS, and SQL, • Experience building and shipping production systems in fast-paced environments, • Experience with voice orchestration frameworks such as LiveKit or similar, • Strong prompt design and conversational flow development skills, • Strong analytical ability to tie system performance to business metrics, • Excellent English communication skills required

Job Description Are you passionate about the future of AI and its potential to transform business operations? Join ChatBotz.ai, an innovative company at the forefront of developing intelligent chatbot solutions. We are seeking a highly skilled and motivated Product Manager to lead our Conversational AI team. As a Product Manager - Conversational AI at ChatBotz.ai, you will play a pivotal role in driving the development and success of our cutting-edge chatbot technology. You will be responsible for overseeing the entire product lifecycle, from ideation to launch and beyond. Your expertise in Conversational AI will shape the future of our chatbot solutions, enabling us to provide personalized and interactive experiences for users. Responsibilities: • Lead the product strategy and vision for our Conversational AI solutions, ensuring alignment with the company's overall goals and objectives., • Conduct market research and analysis to identify customer needs, trends, and opportunities in the Conversational AI space., • Collaborate with cross-functional teams including engineering, design, and business development to define product requirements and specifications., • Drive the product roadmap, making data-driven decisions and prioritizing features and enhancements based on customer feedback and market demand., • Work closely with the engineering team to define technical requirements and ensure successful implementation of new features and functionalities., • Monitor product performance, conduct user testing, and gather feedback to continuously improve the user experience and optimize product performance., • Bachelor's degree in Computer Science, Engineering, or a related field. A Master's degree is a plus., • Proven experience as a Product Manager in the AI or Conversational AI industry., • Strong knowledge of Conversational AI technologies, including Natural Language Processing (NLP) and Machine Learning (ML)., • Familiarity with chatbot platforms, frameworks, and tools., • Excellent analytical skills with the ability to translate complex technical concepts into clear product requirements., • Strong leadership and communication skills to effectively collaborate with cross-functional teams., • Experience in Agile software development methodologies.

Job Description At ChatBotz.ai, we are seeking a highly skilled and motivated Tech Lead to join our innovative team. As a Tech Lead - Conversational AI, you will play a crucial role in developing and implementing intelligent chatbot solutions that revolutionize businesses. Responsibilities: • Lead the development and implementation of conversational AI solutions using cutting-edge technologies., • Collaborate with cross-functional teams to gather requirements and define project goals., • Design, develop, test, and deploy highly scalable and reliable chatbot solutions., • Ensure the quality, performance, and security of the chatbot applications., • Stay updated with the latest advancements in conversational AI technologies and integrate them into our solutions., • Provide technical guidance and mentorship to the development team., • Conduct code reviews and ensure adherence to coding best practices and standards., • Troubleshoot and resolve technical issues related to chatbot applications., • Collaborate with stakeholders to define project timelines, deliverables, and milestones., • Bachelor's degree in Computer Science, Engineering, or a related field., • Proven experience as a Tech Lead or similar role in developing conversational AI solutions., • Strong programming skills in languages such as Python, Java, or JavaScript., • In-depth knowledge of natural language processing (NLP), machine learning (ML), and deep learning techniques., • Experience with popular conversational AI platforms and frameworks such as Dialogflow, RASA, or Microsoft Bot Framework., • Proficiency in working with cloud platforms like AWS, Azure, or Google Cloud Platform., • Familiarity with chatbot development tools and libraries., • Strong problem-solving skills and ability to think creatively.

Job Description Job Title: AWS Connect Developer Location : Remote Compensation : 50-60$/Hr on C2C/1099 Work Authorization: H1B, GC, USC Overview We are seeking a highly skilled AWS Connect Developer with expertise in Node.js, Amazon Connect, and systems integration. The role focuses on designing and developing customer engagement workflows, integrating Amazon Connect with CRMs (including Zoho), ticketing platforms, and other enterprise applications. The ideal candidate will bring strong technical experience and a problem-solving mindset to build scalable, intelligent, and secure contact center solutions. Key Responsibilities · Design, configure, and optimize Amazon Connect contact flows for voice, chat, SMS, and omni-channel interactions. · Develop Node.js-based Lambda functions and backend services to extend Amazon Connect functionality. · Build and maintain integrations between Amazon Connectand CRMs, including Zoho CRM, Salesforce, ServiceNow, and Zendesk. · Enable bi-directional data flows (customer data sync, ticket creation, case management) between Connect and Zoho/other platforms. · Implement real-time event streaming and reporting pipelines using AWS services (Kinesis, DynamoDB, Athena, S3). · Leverage AWS AI/ML services (Lex, Polly, Transcribe, Comprehend) to enhance IVR/chatbot automation. · Collaborate with business teams to automate workflows (lead management, support tickets, call recordings, customer notes) in Zoho and other third-party tools. · Ensure data security, access controls, and compliance through IAM roles, encryption, and monitoring. · Troubleshoot issues, optimize integrations, and deliver continuous improvements. Required Qualifications · 5–8 years of software development experience, including 2+ years in Amazon Connect development. · Strong Node.js development skills (backend services, APIs, integrations). · Hands-on experience with Amazon Connect: contact flows, queues, routing profiles, and reporting. · Proven experience integrating Amazon Connect with Zoho CRM (or other CRMs like Salesforce/ServiceNow). · Exposure to CI/CD pipelines (GitHub Actions, GitLab, AWS CodePipeline, or equivalent). · Familiarity with REST/GraphQL APIs, webhooks, and OAuth-based integrations. · Solid understanding of IAM security, role-based access, and compliance requirements. · Expertise in AWS services: Lambda, API Gateway, Step Functions, DynamoDB, S3, CloudWatch. Preferred Skills · Experience with Amazon Lex, Polly, and Transcribe for conversational AI. · Knowledge of Zoho ecosystem (CRM, Desk, Campaigns, Zoho PhoneBridge API). · Background in contact center technologies such as Avaya, Genesys, or Twilio

Job Description Who We Are: Alpaca is a US-headquartered self-clearing broker-dealer and brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Our recent Series D funding round brought our total investment to over $320 million, fueling our ambitious vision. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 9 million brokerage accounts. Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by top-tier global investors, including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Unbound, SBI Group, Derayah Financial, Elefund, and Y Combinator. Our Team Members: We're a dynamic team of 230+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply. Your Role: We are looking for a Head of Data to lead Alpaca's ~15-person data department across Platform Engineering, Analytics Engineering, and Data Science. You will own the data strategy, the team's execution, and the department's roadmap. The Data department serves every function at Alpaca: it powers partner invoicing and revenue attribution, provides the analytical foundation for sales, product, and compliance, and operates the data platform that processes hundreds of millions of events daily. You will manage three team leads, balancing operational delivery (invoicing, embedded analytics, regulatory reporting) with strategic bets (self-service warehouse, AI-powered analytics, enterprise search). This is a player-coach role. You will set direction for the team while staying close enough to the technical details to make architecture decisions, unblock your leads, and represent data's capabilities to the executive team. Things You Get To Do: • Lead and develop three sub-teams: Platform Engineering & ETL, Analytics Engineering, and Data Science & Analytics. Manage leads, set priorities, and ensure delivery., • Own the Data Lakehouse architecture: Trino, Iceberg/GCS, Airflow, Airbyte, Redpanda CDC, dbt. Make build-vs-buy decisions on tooling., • Drive partner invoicing accuracy and evolution: ensure invoicing logic is versioned, reproducible, and scales with new pricing mechanisms and product launches., • Deliver embedded analytics: expose warehouse data to partners via BrokerDash, SSR pipelines, and API-based reporting. Own row-level security and entitlements., • Support product launches with data change management: coordinate data impact analysis for new products (fixed income, global stocks, perps, 24/5 trading) across downstream datasets, dashboards, and reverse ETL., • Accelerate self-service: move the organization toward self-serve analytics via semantic layers, data catalogues, and conversational BI so the data team can shift from ad-hoc queries to strategic projects., • Guide AI/ML enablement: oversee enterprise AI search, agent-based workflow automation, and LLM-powered analytics. Help balance vendor solutions with in-house development., • Collaborate with Finance, Sales, Product, Compliance, and Customer Success to translate business needs into data products., • Manage infrastructure costs: keep data + cloud cost ratio under target as AUC grows., • 8+ years in data engineering or analytics, including 3+ years managing data teams (leads + ICs)., • Deep experience with modern data stack: dbt, Trino/Presto or equivalent query engines, Apache Iceberg or similar table formats, cloud object storage., • Hands-on experience with ETL/ELT patterns at scale: CDC (Debezium/Kafka), batch (Airflow/dbt), streaming, and reverse ETL., • Track record of building self-service analytics capabilities for non-technical stakeholders., • Experience with financial data: trading, invoicing, revenue attribution, or regulatory reporting in fintech or financial services., • Proficiency in Python and SQL. Comfortable reading code, reviewing PRs, and making architecture decisions., • Experience managing distributed/remote teams across multiple time zones., • Strong stakeholder management: you can translate between executive priorities and engineering execution., • Experience with brokerage or broker-dealer operations (clearing, settlement, market making, reconciliation)., • Familiarity with LLM/AI tooling: MCP, vector databases, enterprise search, conversational BI (WrenAI, Cube)., • Background in compliance analytics (AML/Actimize, KYC, margin calls)., • Exposure to open-source data catalogues (OpenMetadata, Collate) and data quality frameworks.How We Take Care of You:, • Competitive Salary & Stock Options, • Health Benefits, • New Hire Home-Office Setup: One-time USD $500 Recruitment Privacy Policy

Job Description At Playlist, life's richest moments happen when people step away from screens to move, connect, explore, and play. We're building the definitive platform for intentional living, connecting people with inspiring experiences in fitness, wellness, and beyond. With popular brands like Mindbody and ClassPass, Playlist empowers businesses and individuals, making it effortless for aspirations to become actions. Join us in reshaping technology's role to foster meaningful, real-world connections. Mindbody equips wellness entrepreneurs with technology to support thriving businesses and create exceptional experiences. Innovation and curiosity drive our culture, connecting businesses and individuals through cutting-edge solutions. Join us if you're passionate about enhancing wellness through technology. The Role You'll Play: • At Playlist, we're reimagining how technology can foster meaningful, real-world connections. As a Senior Software Engineer on the SmartDesk team, you'll be at the forefront of building an AI-powered front desk assistant that transforms how wellness businesses communicate and operate., • Crafting end-to-end AI-powered experiences that seamlessly connect wellness businesses with their clients, • Designing and implementing robust web and messaging services that power conversational and workflow automation, • Integrating large language models (LLMs) and generative AI frameworks with a laser focus on safety, reliability, and user trust, • Collaborating closely with product, design, and applied AI teams to transform complex challenges into intuitive solutions, • Architecting scalable systems across frontend, backend, and integration layers, • Mentoring teammates through thoughtful code reviews and technical guidance, • Turning cutting-edge AI capabilities into practical, user-centric product features, • Driving technical excellence by making pragmatic engineering decisions that balance innovation, quality, and time to marketYou'll drive innovation by:, • Crafting end-to-end AI-powered experiences that seamlessly connect wellness businesses with their clients, • Designing and implementing robust web and messaging services that power conversational and workflow automation, • Integrating large language models (LLMs) and generative AI frameworks with a laser focus on safety, reliability, and user trust, • Collaborating closely with product, design, and applied AI teams to transform complex challenges into intuitive solutions, • Architecting scalable systems across frontend, backend, and integration layers, • Mentoring teammates through thoughtful code reviews and technical guidance, • Turning cutting-edge AI capabilities into practical, user-centric product features, • Driving technical excellence by making pragmatic engineering decisions that balance innovation, quality, and time to market The Experience You'll Bring:, • 2-3 years of Senior-level experience building full-stack features for SaaS products, • Proven track record of developing user-facing web applications and supporting APIs, • Expertise in designing and shipping AI-powered features in production environments, • Strong experience with distributed systems, third-party integrations, and messaging platforms, • Proficiency in making architectural decisions that balance technical debt, innovation, and business needs, • Deep understanding of engineering fundamentals, including testing, observability, and maintainability, • Exceptional communication skills with the ability to collaborate across multidisciplinary teams, • Comfort navigating ambiguity and rapidly learning emerging technologiesTechnologies You'll Use:, • LLMs and Generative AI Frameworks, • AWS (ECS, SQS, RDS), • Python, • TypeScript / JavaScript The base salary range for this position in the United States is $114,000 to $152,000 USD. The total compensation package for this position may also include a performance bonus, benefits and/or other applicable incentive compensation plans. Have we piqued your curiosity? Sound like the role for you? We'd love to hear from you! Even if you're not 100% sure about potential fit, we still encourage you to apply. We're looking for the right person, not the perfect series of checkboxes. The Company is an Equal Opportunity Employer. We highly value diversity at our company and encourage people of all different backgrounds, experiences, abilities and perspectives to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other protected characteristics. By entering your email and phone number and submitting your application, you consent to receive emails, calls and SMS about your application and other roles at The Company, including by auto-dialer. Message and data rates may apply. Opt-out or text STOP to cancel at any time. If you are a California resident or reside outside the United States then by submitting your application you confirm that you have read, understood, agree and - where applicable - grant your prior, free, informed and express consent for the processing of your personal information, including sensitive personal information, as described in our California Applicant Privacy Notice or International Applicant Privacy Notice (as applicable). Note: This description outlines key responsibilities but isn't intended to cover every task or duty. Additional responsibilities may be assigned as needed to support the team and business goals.

Job Description PolyAI automates customer service through lifelike voice assistants that let customers lead a conversation. Our voice assistants make it possible for businesses to deliver outstanding customer service that rivals their human agents. Our customers, which include the world's leading logos, are expanding how they use our platform, driving automation of critical customer service operations and integrating PolyAI into their daily customer service workflows. Enterprises trust our conversational AI platform to automate millions of customer interactions every day. Your mission is to define the strategy and lead the developer ecosystem for our new Developer Platform. This includes creating world-class technical content, nurturing a vibrant community of AI builders, and acting as the primary advocate for external developers integrating with our APIs and agent-building tools. We are looking for an impact driven and technical Developer Relations Manager to own the developer journey, driving platform adoption, and establishing PolyAI as the premier destination for Conversational AI developers. You will lead technical advocacy, mentor builders, and align closely with product, marketing, and engineering teams, translating frontier Agentic AI into intuitive, well-documented, and scalable developer resources. If you are motivated by empowering developers, solving complex integration challenges, and transforming technical platform capabilities into a thriving, community-led ecosystem, we want to meet you. Key Responsibilities • Define and Lead the Developer Ecosystem Strategy. Establish a winning DevRel strategy and unified developer journey across our core platform APIs, SDKs, and integration points. Define, monitor, and report on key developer success indicators, driving continuous improvement to maximize developer ROI and platform stickiness., • Own and Deliver World Class Technical Content. Oversee the entire content lifecycle for developers, from strategic prioritization of topics to the creation of high-quality tutorials, API documentation, code samples, reference architectures, and video guides demonstrating how to build and optimize LLM-powered agents., • Be the Voice of Developers. Serve as the principal bridge between the external developer community and internal technical execution. Champion developer needs, translate community feedback into actionable product requirements, and challenge our engineering teams to continuously elevate the developer experience (DevEx)., • Community Building and Advocacy. Act as the face of PolyAI to the developer community. Host webinars, speak at industry conferences, organize hackathons, and actively nurture technical discussions on platforms like GitHub, Discord, or Stack Overflow to ensure developers feel supported and engaged., • Integrate and Optimize Core AI Technology for Builders. Work alongside product teams to ensure our underlying LLM, RAG, and tool-calling pipelines are exposed to developers in a way that is intuitive, scalable, and consistent. Provide hands-on feedback during the development of new platform features., • Lead Developer Go-to-Market Strategy. Direct developer-focused Go-to-Market collaboration, including the coordination of API beta programs, developer launch kits, and technical enablement sessions to drive rapid, grassroots platform adoption.Requirements, • 5+ years of experience in Developer Relations, Technical Evangelism, or Software Engineering, with a strong focus on community engagement and developer experience., • Proven experience driving developer adoption and managing technical communities for API-first B2B, or Enterprise SaaS developer platforms at scale., • Exceptional ability to use qualitative developer insights and quantitative usage data to define, validate, and evolve a technical advocacy strategy., • Demonstrated track record of creating compelling, high-quality technical content (e.g., code repositories, blog posts, architecture diagrams, and technical presentations) that drives developer engagement., • Superior communication skills, with the ability to articulate complex technical AI/ML concepts to both deeply technical audiences and executive leadership., • Strong technical background. A Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience in software development (particularly with Python, Node.js, and REST/GraphQL APIs).Preferred Requirements, • Experience working with conversational AI, Natural Language Processing (NLP), Large Language Models (LLMs), or speech technologies., • Previous experience defining, measuring, and moving quantitative success metrics for developer communities or open-source projects., • Experience working on a global B2B or Enterprise platform with a significant international developer footprint. 🏥 Comprehensive health coverage for you and your loved ones 👪 Life Insurance ◻️ STD and LTD 💰 The opportunity to contribute to the company's 401k plan 🏝 Flexible PTO policy + 11 designated company holidays 📚 Annual learning and development allowance 🏡 We're all about making WFH work for you - that's why we offer a one-off WFH allowance when you join. Offering perks like noise-cancelling headphones or a comfortable desk chair to boost your comfort and focus! 🧡 Enhanced parental leave 👨️‍👩️‍👧 Company-funded fertility and family-forming programmes 🌸 Menopause care programme with Maven 🌎 Sabbatical Program: 5-week paid sabbatical available after 5 years of employment At PolyAI, we take great pride in our values - they guide everything we do. We believe that a strong culture leads to meaningful work and lasting impact. Our core values are: Only the best We expect the best from our people, we hire people that expect the best from themselves, and we nurture this drive for excellence. Ownership We care deeply about what we do. We take ownership of our initiatives, decisions and outcomes. Relentlessly improve We demand more from ourselves and are always evolving. Continuous, obsessive improvement is the only way we will transform the world of conversational AI. Bias for action Our world moves quickly and so do we. We take calculated risks and we deliver impact fast. Disagree and commit We are all working toward the same goal. If we donʼt agree with something, we work hard to understand it and when a decision is made, we accept it and give it our all. Build for people We want the world to enjoy the experiences they have with us. We are building for a future that prefers automation. PolyAI is proud to be an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment decisions at PolyAI will be based on the business needs without attention to ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, neurodiversity status or disability status. Kindly find the Privacy Notice for our recruitment process by following the link here. This document provides important information regarding how we handle your personal data throughout the recruitment journey.

Job Description At Playlist, life's richest moments happen when people step away from screens to move, connect, explore, and play. We're building the definitive platform for intentional living, connecting people with inspiring experiences in fitness, wellness, and beyond. With popular brands like Mindbody and ClassPass, Playlist empowers businesses and individuals, making it effortless for aspirations to become actions. Join us in reshaping technology's role to foster meaningful, real-world connections. Mindbody equips wellness entrepreneurs with technology to support thriving businesses and create exceptional experiences. Innovation and curiosity drive our culture, connecting businesses and individuals through cutting-edge solutions. Join us if you're passionate about enhancing wellness through technology. The Role You'll Play: At Playlist, we're reimagining how technology can foster meaningful, real-world connections. As a Senior Software Engineer on the SmartDesk team, you'll be at the forefront of building an AI-powered front desk assistant that transforms how wellness businesses communicate and operate. • Crafting end-to-end AI-powered experiences that seamlessly connect wellness businesses with their clients, • Designing and implementing robust web and messaging services that power conversational and workflow automation, • Integrating large language models (LLMs) and generative AI frameworks with a laser focus on safety, reliability, and user trust, • Collaborating closely with product, design, and applied AI teams to transform complex challenges into intuitive solutions, • Architecting scalable systems across frontend, backend, and integration layers, • Mentoring teammates through thoughtful code reviews and technical guidance, • Turning cutting-edge AI capabilities into practical, user-centric product features, • Driving technical excellence by making pragmatic engineering decisions that balance innovation, quality, and time to marketYou'll drive innovation by:, • Crafting end-to-end AI-powered experiences that seamlessly connect wellness businesses with their clients, • Designing and implementing robust web and messaging services that power conversational and workflow automation, • Integrating large language models (LLMs) and generative AI frameworks with a laser focus on safety, reliability, and user trust, • Collaborating closely with product, design, and applied AI teams to transform complex challenges into intuitive solutions, • Architecting scalable systems across frontend, backend, and integration layers, • Mentoring teammates through thoughtful code reviews and technical guidance, • Turning cutting-edge AI capabilities into practical, user-centric product features, • Driving technical excellence by making pragmatic engineering decisions that balance innovation, quality, and time to market The Experience You'll Bring:, • 5+ years of Senior-level experience building full-stack features for SaaS products, • Proven track record of developing user-facing web applications and supporting APIs, • Expertise in designing and shipping AI-powered features in production environments, • Strong experience with distributed systems, third-party integrations, and messaging platforms, • Proficiency in making architectural decisions that balance technical debt, innovation, and business needs, • Deep understanding of engineering fundamentals, including testing, observability, and maintainability, • Exceptional communication skills with the ability to collaborate across multidisciplinary teams, • Comfort navigating ambiguity and rapidly learning emerging technologiesTechnologies You'll Use:, • LLMs and Generative AI Frameworks, • AWS (ECS, SQS, RDS), • Python, • TypeScript / JavaScript The base salary range for this position in the United States is $151,000 to $201,000 USD. The total compensation package for this position may also include a performance bonus, benefits and/or other applicable incentive compensation plans. Have we piqued your curiosity? Sound like the role for you? We'd love to hear from you! Even if you're not 100% sure about potential fit, we still encourage you to apply. We're looking for the right person, not the perfect series of checkboxes. The Company is an Equal Opportunity Employer. We highly value diversity at our company and encourage people of all different backgrounds, experiences, abilities and perspectives to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other protected characteristics. By entering your email and phone number and submitting your application, you consent to receive emails, calls and SMS about your application and other roles at The Company, including by auto-dialer. Message and data rates may apply. Opt-out or text STOP to cancel at any time. If you are a California resident or reside outside the United States then by submitting your application you confirm that you have read, understood, agree and - where applicable - grant your prior, free, informed and express consent for the processing of your personal information, including sensitive personal information, as described in our California Applicant Privacy Notice or International Applicant Privacy Notice (as applicable). Note: This description outlines key responsibilities but isn't intended to cover every task or duty. Additional responsibilities may be assigned as needed to support the team and business goals.

Job DescriptionABOUT US: Founded in 2020, Regal is the AI Agent Platform. Regal gives every company the tools to transform customer communications with delightful AI Agents that are connected to your data, easy to customize and monitor, always available, and ready to take action. Power better support, sales, and operations – with way less effort. Our founders, Alex Levin and Rebecca Greene, helped build Angi (Angie’s List, HomeAdvisor, and Handy) to over $1.5B in revenue. Based in Manhattan, we’re building an in-person culture of entrepreneurs who want to win and build something meaningful. We’re backed by top investors including Founder Collective, Homebrew, and Emergence Capital. Come join us as we create a category-defining company, and follow Regal's company page on LinkedIn to stay up-to-date on our journey and current job openings! We’re moving fast, and the numbers speak for themselves:- Partnered with enterprise brands like Google, AAA, Ro, Coursera- Raised $82M (top tier investors including Emergence & Homebrew)- Completed 250MM+ calls- Driven $7B revenue for customers- Scaled to $## ARR- Built amazing NYC (Midtown) in office culture ABOUT THE ROLE: At Regal, we’re transforming how businesses engage customers with powerful, customizable AI Agents. As an Enterprise Account Executive, you’ll play a critical role in driving new business by sourcing and generating pipeline, navigating complex sales cycles, and closing new business with large, strategic organizations. You’ll engage senior executives across marketing, sales, and technology, craft compelling pitches, and partner closely with leadership, marketing, and BDRs to execute account strategies. This role is ideal for a driven seller who thrives on building new relationships at the executive level, guiding organizations through Regal’s value proposition, and crafting business cases that demonstrate clear ROI. You’ll make a lasting impact by helping us define the category and transform customer engagement for enterprise-scale businesses. Our team is looking for a driven and passionate seller who can speak with conviction, craft compelling pitches, and is eager to make a lasting impact at their next AI company!RESPONSIBILITIES: • Drive revenue for Regal’s AI Agent platform by closing complex, enterprise-scale deals that demonstrate clear ROI and transformation potential, • Consistently meet and exceed quarterly and annual sales targets, • Build and maintain a high-quality pipeline through outbound prospecting, AI-assisted tools, and strategic outreach, • Engage senior stakeholders (CMO, CRO, CTO, CIO) and guide them through Regal’s value proposition with a consultative, outcomes-focused approach, • Craft and evaluate business cases that quantify ROI and align Regal’s solutions with customer objectives, • Collaborate with leadership, marketing, and BDRs to create and execute multi-threaded account strategies, • Stay current on AI trends, buyer needs, and the competitive landscape to drive informed, strategic conversationsABOUT YOU:, • 5-7+ years of full-cycle SaaS sales experience with a proven track record of exceeding quota in enterprise sales, • Success selling into executive buyers across marketing, sales, and technology functions, • Skilled at managing complex sales cycles and engaging multiple stakeholders in consultative, strategic conversations, • Experience with AI, automation, or conversational platforms strongly preferred, • Demonstrated ability to build and analyze business cases that highlight ROI for customers, • Strong ownership mindset with examples of delivering exceptional results, • Excited to shape the future of customer engagement in a dynamic, category-defining environmentBENEFITS/PERKS:, • We care about your health!, • Medical, Dental, and Vision plans - 80% covered by the company, • Flexible PTO & 11 paid holidays/year, • We care about future you!, • 401k Plan, • Paid parental leave, • Pre-tax commuter benefits, • We care about connection!, • In-office breakfast and snacks daily, • Happy hours, team outings, & annual off-sites, • Complete laptop workstation

Job DescriptionABOUT US: Founded in 2020, Regal is the AI Agent Platform. Regal gives every company the tools to transform customer communications with delightful AI Agents that are connected to your data, easy to customize and monitor, always available, and ready to take action. Power better support, sales, and operations – with way less effort. Our founders, Alex Levin and Rebecca Greene, helped build Angi (Angie’s List, HomeAdvisor, and Handy) to over $1.5B in revenue. Based in Manhattan, we’re building an in-person culture of entrepreneurs who want to win and build something meaningful. We’re backed by top investors including Founder Collective, Homebrew, and Emergence Capital. Come join us as we create a category-defining company, and follow Regal's company page on LinkedIn to stay up-to-date on our journey and current job openings! We’re moving fast, and the numbers speak for themselves:- Partnered with enterprise brands like Google, AAA, Ro, Coursera- Raised $82M (top tier investors including Emergence & Homebrew)- Completed 250MM+ calls- Driven $7B revenue for customers- Scaled to $## ARR- Built amazing NYC (Midtown) in office culture ABOUT THE ROLE: At Regal, we’re transforming how businesses engage customers with powerful, customizable AI Agents. As a Mid-Market Account Executive, you’ll play a critical role in driving growth by sourcing and generating pipeline, navigating full-cycle sales processes, and closing new business with mid-sized organizations. You’ll partner with leadership, marketing, and BDRs to create targeted outreach, engage senior stakeholders, and deliver Regal’s platform as the solution for modern customer engagement. This role is a great fit for someone who thrives in a dynamic market, enjoys consultative selling, and is comfortable crafting business cases that demonstrate ROI. You’ll help mid-sized businesses adopt AI to reshape their customer engagement, while making a direct and lasting impact on Regal’s expansion in the market.RESPONSIBILITIES: • Drive revenue for Regal’s AI Agent platform by closing new business that showcases measurable outcomes and ROI, • Consistently meet and exceed quarterly and annual sales targets, • Build and maintain a strong pipeline through outbound prospecting, AI-assisted tools, and inbound demand generated with marketing and BDRs, • Engage senior decision makers (CMO, CRO, CTO) in consultative sales processes tailored to their workflows and objectives, • Craft and analyze business cases that highlight Regal’s ROI for mid-market buyers, • Collaborate internally to develop and execute territory plans that ensure consistent pipeline growth, • Stay current on AI adoption trends, buyer needs, and the competitive landscape to drive effective, consultative conversationsABOUT YOU:, • 3-5 years of full-cycle SaaS sales experience with a strong record of meeting or exceeding quota, • Experience selling to marketing, sales, and technology leaders at mid-sized businesses, • Knowledge of AI, automation, or conversational platforms strongly preferred, • Skilled at building and evaluating business cases to communicate ROI and outcomes, • Comfortable managing consultative sales cycles and educating buyers on emerging technologies, • Motivated by building relationships and delivering value that transforms customer engagement, • Energized by contributing to Regal’s momentum in a dynamic, evolving marketBENEFITS/PERKS:, • We care about your health!, • Medical, Dental, and Vision plans - 80% covered by the company, • Flexible PTO & 11 paid holidays/year, • Subsidized ClassPass membership, • We care about future you!, • 401k Plan, • Paid parental leave, • Pre-tax commuter benefits, • We care about connection!, • In-office breakfast and snacks daily, • Happy hours, team outings, & annual off-sites, • Complete laptop workstation