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We are looking for a Software Development Manager to lead a team building these experiences and the platform that powers them. The Advertiser Experience Frameworks team owns the experience layer of the Ads Agent - the chat interface, advertiser-facing communications, feedback systems, and the framew

This role includes assisting customers via phone, email, and chat in a remote work environment. A financial services company is seeking a Customer Support Agent to provide support for clients managing their retirement plans. Ideal candidates should have strong communication skills and previous custo

Job Description:\n\nAbout Phaidra Phaidra is building the future of industrial automation. The world today is filled with static, monolithic infrastructure. Factories, power plants, buildings, etc. operate the same they've operated for decades — because the controls programming is hard-coded. Thousands of lines of rules and heuristics that define how the machines interact with each other. The result of all this hard-coding is that facilities are frozen in time, unable to adapt to their environment while their performance slowly degrades. Phaidra creates AI-powered control systems for the industrial sector, enabling industrial facilities to automatically learn and improve over time. Specifically:We use reinforcement learning algorithms to provide this intelligence, converting raw sensor data into high-value actions and decisions.We focus on industrial applications, which tend to be well-sensorized with measurable KPIs — perfect for reinforcement learning.We enable domain experts (our users) to configure the AI control systems (i.e. agents) without writing code. They define what they want their AI agents to do, and we do it for them. Our team has a track record of applying AI to some of the toughest problems. From achieving superhuman performance with DeepMind's AlphaGo, to reducing the energy required to cool Google's Data Centers by 40%, we deeply understand AI and how to apply it in production for massive impact. Phaidra's ability to achieve its mission is determined by our ability to work together — as defined by our core values: Transparency, Collaboration, Operational Excellence, Ownership, and Empathy. We seek individuals who embody these values, as they are instrumental in ensuring our team consistently delivers excellence and fosters an engaging and supportive culture Phaidra is based in the USA, but we are 100% remote with no physical office. We hire employees internationally with the help of our partner, OysterHR. Our team is currently located throughout the USA, Canada, UK, Sweden, Spain, Portugal, the Netherlands, Singapore, Australia, and India.The Opportunity At Phaidra, security is the bedrock of trust for our customers operating the world's most critical infrastructure. We are looking for a Senior Product Security Engineer to partner directly with our Agentic AI department. This team is at the forefront of our mission, building autonomous agents responsible for optimizing the operational fabric of AI factories. These agents don't just chat; they act. They make real-time decisions to optimize power usage, cooling efficiency, and hardware health, creating a more stable and efficient environment for massive-scale compute. This is a high-stakes environment where the integrity and security of AI-driven decisions are paramount. You will tackle the unique security challenges of deploying autonomous agents that interact directly with physical control systems. Security failures here don't just mean data leaks; they could mean operational downtime or physical degradation of critical hardware. We need a security expert who thrives working hand-in-hand with AI researchers and engineers. Your role is to embed security into the DNA of our Agentic platform, ensuring that as our agents learn and explore, they do so within unbreakable safety boundaries. We are seeking a team member located in the following areas: UK or US (central and eastern time preferred)ResponsibilitiesChampion Secure Agentic AI Development: Drive the adoption of Phaidra's Secure AI/ML Development Lifecycle (SAIDL) within the Agentic AI team. Adapt security practices to fit the iterative and experimental nature of Reinforcement Learning and agent development.Agentic Threat Modeling: Partner with researchers to model threats specific to autonomous agents. Beyond standard AI risks, you will analyze risks unique to agents, such as goal misalignment, reward hacking, infinite looping, and insecure tool execution (e.g., an agent executing a command that exceeds safety limits).Secure Agent Architecture & Safety Boundaries: Design secure-by-default architectures for autonomous agents. Crucially, this involves defining deterministic safety guardrails that sit between the probabilistic AI model and the physical hardware controls. Ensure "Zero Trust" applies to the agent—it should only have the minimum permissions needed to adjust specific parameters.Secure Agent Tools & Memory: Architect security controls for the "tools" the agent uses (APIs to read sensors or change settings) and the agent's long-term memory. Ensure the agent cannot be manipulated into using a tool to perform unauthorized actions or "poisoned" via its memory context.MLSecOps for RL Pipelines: Secure the training and simulation pipelines used for Reinforcement Learning. Ensure the integrity of the simulation environments (Digital Twins) used to train agents, preventing attackers from influencing agent behavior during the training phase.Adversarial Testing & Red Teaming: Lead AI Red Teaming exercises focused on behavioral manipulation. Can you trick the agent into making a suboptimal decision? Can you manipulate the observations the agent receives?Incident Preparedness: Develop incident response playbooks tailored for autonomous systems, focusing on "Kill Switches" and rapid rollback capabilities in the event of rogue agent behavior.Cross-Functional Partnership: Build strong relationships with the Agentic AI researchers, SREs, and Data Scientists. Act as an enabler who helps them deploy powerful agents safely, rather than a blocker.Key QualificationsAgentic AI & RL Security: Proven understanding of the security risks associated with Reinforcement Learning, Autonomous Agents, or automated decision-making systems.AI Partnership: Demonstrated experience working embedded with AI system developers and researchers. You understand the difference between "probabilistic" (AI) and "deterministic" (Code) and how to secure the bridge between them.Core Experience: 5+ years of work experience in product security, application security, or a closely related security engineering role.Safety Engineering Mindset: You understand that in physical systems, "Availability" and "Safety" often outrank "Confidentiality." You are familiar with concepts like fail-safes and human-in-the-loop controls.Technical Depth:Strong programming experience, ideally with Python (essential for ML/AI ecosystems) or Go.Familiarity with agent frameworks (e.g., LangChain, AutoGPT) or RL libraries (e.g., Ray RLLib).Proven experience securing Cloud infrastructure (GCP) and Kubernetes.Deep understanding of Authentication & Authorization (specifically non-human identities/workload identity).Advanced MLOps: Direct, hands-on experience securing MLOps tooling (e.g., Kubeflow, MLflow) and deep understanding of securing complex data and model-training pipelines.Preferred Skills & ExperienceIndustrial / OT Context: Experience working with systems that interface with the physical world (IoT, Robotics, ICS/OT). Understanding of the "IT/OT convergence."Formal Verification for AI: Experience using mathematical methods to prove that an AI model or agent will not violate specific safety constraints.Sim-to-Real Security: Experience securing simulation environments (Digital Twins) and managing the security risks of transferring policies from simulation to the real world.Protocol Fuzzing: Ability to test industrial protocols (e.g., Modbus, BACnet) for robustness against automated or adversarial inputs.AI Governance: Familiarity with emerging standards like the NIST AI RMF or ISO 42001.Critical Systems: Experience securing "closed loops" or control systems where latency and reliability are critical.Certifications: Relevant advanced certifications, such as GICSP (Global Industrial Cyber Security Professional), ISA/IEC 62443 Cybersecurity Expert, NVIDIA Agentic AI, OSEP (Offensive Security Experienced Penetration Tester), CISSP, or OSCP.Our StackAI/ML: PyTorch, TensorFlow, Ray (RL), LangChain, Gemini/OpenAI/Anthropic models.Languages: Python, Go.Infrastructure: Docker, Kubernetes, Terraform.Cloud: GCP (GKE, PubSub, BigTable)Onboarding In your first 30 days — (Foundation and AI Landscape Familiarization)Understand the Mission: Deep dive into "Building AI for AI Factories." Understand the specific physical parameters (power, cooling, airflow) our agents are optimizing.Build Trust: Sit with the Agentic AI researchers to understand their workflow. How do they train agents? How do they simulate environments?Initial Review: Conduct a high-level review of the current "Safety Layer" that sits between the Agent and the control systems. In your first 60 days — (Threat Modeling & Guardrails):Agent Threat Model: Lead a detailed threat modeling session for a specific Agentic workflow. Focus on the Interface between the Agent and the Physical Hardware.Guardrail Implementation: Propose and begin implementing technical controls (guardrails) that enforce deterministic safety rules, ensuring the AI cannot exceed operational limits regardless of its intent.Secure the Tools: Review the security of the internal APIs (Tools) that the agents use to sense and act on the environment. In your first 90 days — (Strategy & Automation):Reference Architecture: Publish a "Secure Agent Reference Architecture" for future agent development.Driving Initiatives: Drive the implementation of the secure reference architectures and remediation of key findings from the threat modeling exercises.Demonstrable Impact: Showcase measurable improvements in the security of the AI/ML pipeline (e.g., implementation of runtime monitoring for anomalous model behavior, reduction of AI-specific vulnerabilities).Strategic Contributions: Establish yourself as the key security partner and expert for the Agentic AI Department.General Interview Process All of our interviews are held via Google Meet, and an active camera connection is required.Meeting with People Operations team member (30 minutes)Meeting with Hiring Manager (30 minutes)Technical Interview with our Senior Product Security Engineer (60 minutes)Meeting with Agentic AI team member (45 minutes)Culture fit interview with Phaidra's co-founders (30 minutes)Base Salary US Residents:Tier 1 (Largest highest-cost metros): 146,200 USD - 199,600 USDTier 2 (Other major metros): 138,640 USD - 189,370 USDTier 3 (Mid-sized metro areas): 131,080 USD - 179,140 USDTier 4 (All other locations): 123,520 USD - 168,910 USD UK Residents:Tier 1 (London): 95,200 GBP - 142,000 GBPTier 2 (Manchester, Birmingham, Edinburgh, Bristol): 89,600 GBP - 134,400 GBPTier 3 (Other areas): 84,000 GPB - 126,000 GBP In addition to base salary, this position is eligible for equity. Final salary will be determined based on several factors, including a candidate's qualifications, skills, competencies, experience, expertise, education and location. In some cases, final compensation may fall outside the posted range. Salary ranges are regularly reviewed and may be adjusted in response to market trends. Benefits & PerksFast-paced, team-oriented environment where your work directly shapes the company's direction.We are a 100% remote company. Competitive compensation & meaningful equity.Outsized responsibilities & professional development.Training is foundational; functional, customer immersion, and development training.Medical, dental, and vision insurance (exact benefits vary by region).Unlimited paid time off, with a required minimum of 20 days per year.Paid parental leave (exact benefits vary by region).Flexible stipends to support your workspace, well-being, and continued professional development.Company MacBook. Please note: Not all of Phaidra's benefits and perks listed above apply to temporary employees such as interns.On being Remote We take a thoughtful and intentional approach to remote collaboration. Inspired by pioneers like GitLab, we embrace proven best practices to foster an exceptional remote work environment. Our culture is documentation-first, and we prioritize asynchronous communication to support focus and flexibility across time zones. While we value independence, we stay closely connected through tools like Slack and video conferencing. Weekly all-hands meetings help us align and build strong relationships, and we regularly host virtual team-building activities and social events to maintain a sense of camaraderie.Equal Opportunity Employment Phaidra is an Equal Opportunity Employer; employment with Phaidra is governed on the basis of merit, competence, and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We welcome diversity and strive to maintain an inclusive environment for all employees. If you need assistance with completing the application process, please contact us at Notice Phaidra participates in E-Verify, an employment authorization database provided through the U.S. Department of Homeland Security (DHS) and Social Security Administration (SSA). As required by law, we will provide the SSA and, if necessary, the DHS, with information from each new employee's Form I-9 to confirm work authorization for those residing in the United States. Additional information about E-Verify can be found here. #LI-Remote To be considered for any position at Phaidra, you must submit an online application. This role will remain open until it is filled. Phaidra only hires individuals who are legally authorized to work in the specified location(s) above. We do not provide employment sponsorship. Candidates requiring visa sponsorship, either now or in the future, are not eligible for hire. WE DO NOT ACCEPT APPLICATIONS FROM RECRUITERS.

Job DescriptionAbout Clarion The hardest part of healthcare shouldn’t be getting an appointment. Today, medical staff drown in backlogs of calls, faxes, and scheduling requests. Patients struggle to get the right care at the right time, staff members burn out, and clinics lose billions in revenue. This isn’t a failure of care - it’s a failure of capacity. Clarion exists to solve this problem at scale. Our AI agents handle the patient journey from end-to-end; from scheduling and rescheduling appointments, to managing referrals and prescription refills. Our AI performs complex workflows with a human-like touch that patients love. We’ve raised $5.5M from Accel, Y Combinator, and Sequoia (Scout), along with founders from Ophelia, Medallion, and Counsel Health. We’re an in-person team based in New York City, moving quickly to ensure every patient gets the care they need. Why Join Us? * Solving a real-world challenge: We’re addressing a critical problem that affects millions of patients and providers daily. Our AI agents outperform human schedulers and restore the time needed to focus on patients. * Early-stage with strong market validation: We’ve seen 10x revenue growth in the last year alone. We handle millions of interactions for customers ranging from virtual care clinics to a $5B health insurance company. * Founding team: Our co-founders bring a deep understanding of the healthcare landscape. Our CEO is a Stanford/Harvard-trained physician and clinical ops leader (Two Chairs, Ophelia), and our CTO is an ex-Amazon Alexa engineer who led AI/ML teams at Salesforce. * Outsized early impact: You'll be joining at an early stage where your contributions shape our company's trajectory, processes, and culture, with significant influence on how we grow. * In-person collaboration advantage: We've built in-person since day one and maintain this as a strategic advantage. We move faster, build stronger bonds, and create a cohesive culture. What You'll Be Working On * Serving as the CEO's right hand to drive priority initiatives, track progress against goals, and identify operational bottlenecks * Managing our AI agent deployment pipeline from initial customer onboarding through ongoing optimization * Building and documenting scalable processes for customer implementation, quality assurance, and ongoing support * Creating dashboards to track key metrics across customer success, AI agent performance, and business operations * Managing vendor relationships and evaluating new tools to support our growing operations Requirements * 2-4 years of experience in consulting, investment banking, business operations, or high-growth startups * Clear communicator who builds trust easily with healthcare customers and team members * Experience managing projects from start to finish and coordinating across different areas * Good with numbers and able to spot trends that help guide business decisions * Excited to work in-person at our NYC office You are a good fit if * You're highly organized and can balance multiple strategic initiatives while maintaining a clear view of company priorities * You're proactive about identifying both risks and growth opportunities across the business * You're comfortable working in a fast-paced environment and can adapt your approach as company needs evolve * You're naturally curious about healthcare workflows and passionate about improving them with technology * You take ownership of outcomes and measure your success by company and customer metrics What we offer * Direct mentorship: Work closely with our founding team and experienced leaders who will invest in your professional development * Meaningful equity: Early employee stock options with significant ownership potential * Comprehensive benefits: 100% covered healthcare, flexible time off, commuter benefits, weekly team lunches * Team culture: Quarterly retreats and monthly team events that build genuine connections in our close-knit NYC team * Impact at scale: Work that builds the infrastructure to help millions of patients access care Interview Process At each stage, we decide within 24hrs and update you shortly after: * First Chat (15min) [Virtual]: A casual conversation about the role and your experience to see if there's a good initial fit. * Experience Deep Dive (45min) [Virtual]: We'll explore your operational experience, how you've managed complex projects, and your approach to building scalable processes. * Team Day (Half-day) [In-Person]: Visit our New York office to meet with co-founders, team members, and potential collaborators. You'll work through operational scenarios, discuss strategy, and get a sense of our company culture and working environment. If you're ready to transform how millions of patients connect with their healthcare providers, we'd love to hear from you. Compensation Range: $100K - $150K

Job Description Merge is the leading provider of agentic tools and customer-facing integrations for frontier LLMs, Fortune 500 organizations, and B2B SaaS companies. Our platform offers two core products: Merge Unified, which enables businesses to add hundreds of integrations to their products with a single API, and Merge Agent Handler, which empowers AI agents with secure access to thousands of third-party tools. Merge's enterprise-grade platform handles the entire integration lifecycle, from authentication and security to monitoring and maintenance. Thousands of companies trust Merge to accelerate product development, unblock sales, reduce customer churn, and save engineering resources—allowing them to focus on their core product. Technical Support Engineer at Merge As a Technical Support Engineer, you will be responsible for providing high-quality support to our customers and prospects, including troubleshooting technical issues and assisting with integrating Merge into our customers' products. You'll work closely with engineering and platform teams to debug issues, squash bugs, and prioritize customer requests. The ideal candidate will have a strong technical background with experience with APIs, excellent problem-solving, communication, and customer service skills. Your work as a Technical Support Engineer will be of high value and have a direct impact on the bottom line of Merge's product offerings to our customers, with increased levels of internal and external visibility. What you will do: • Provide top-tier support to customers via online chat, email, Slack/Teams and screen-share meetings., • Troubleshoot technical issues and drive creative solutions to customers in a timely manner., • Contribute to establishing and maintaining the integration of Merge into our customers' product, • Partner with Engineering, Product and Customer Success teams to resolve incidents and advocate for feature requests., • Create and maintain help center guides, runbooks, and internal notes to strengthen our knowledge base., • Help lay the foundation for a successful and rapidly growing support engineering team!, • 2+ years of experience in technical support, customer facing engineering, or solutions engineering roles., • Computer science background or other technical/quantitative orientation., • Excellent verbal and written communication skills., • Strong work ethic, a customer-first mindset, goal-oriented approach, and great attention to detail, • Strong problem-solving skills; experience with scripting for debugging and one-off analyses is a plus., • Prior startup experience is a plus Compensation • The cash compensation range for this role is $120,000 - $140,000, • Unlimited PTO + 10 company holidays, • Quality health, vision, and dental insurance, • 401K Plan, • $200 one-time home office stipend, • Free dinner when working past 7pm

Job Description Merge is the leading provider of agentic tools and customer-facing integrations for frontier LLMs, Fortune 500 organizations, and B2B SaaS companies. Our platform offers two core products: Merge Unified, which enables businesses to add hundreds of integrations to their products with a single API, and Merge Agent Handler, which empowers AI agents with secure access to thousands of third-party tools. Merge's enterprise-grade platform handles the entire integration lifecycle, from authentication and security to monitoring and maintenance. Thousands of companies trust Merge to accelerate product development, unblock sales, reduce customer churn, and save engineering resources—allowing them to focus on their core product. Technical Support Engineer at Merge As a Technical Support Engineering Manager, you will lead and grow a team of Technical Support Engineers responsible for delivering world-class support to Merge customers and prospects. Your team will troubleshoot technical issues, guide customers through integrating Merge into their products, and act as a critical bridge between customers, engineering, and product teams. In this role, you'll combine technical expertise, operational leadership, and people management to ensure our customers have an exceptional experience when building on Merge. You will help scale our support function, build efficient support processes, and develop a high-performing team capable of solving complex technical problems. The ideal candidate has experience managing technical support or solutions engineering teams in a high-growth SaaS environment, a strong understanding of APIs and integrations, and a passion for building systems and teams that deliver outstanding customer outcomes. Your work will directly impact customer satisfaction, product quality, and the overall success of Merge's platform. Please note this is an in office role 5 days per week in either New York City or San Francisco. What will you be doing? • Provide top-tier support to customers via online chat, email, Slack/Teams and screen-share meetings., • Troubleshoot technical issues and drive creative solutions to customers in a timely manner., • Contribute to establishing and maintaining the integration of Merge into our customers' product, • Partner with Engineering, Product and Customer Success teams to resolve incidents and advocate for feature requests., • Create and maintain help center guides, runbooks, and internal notes to strengthen our knowledge base., • Help lay the foundation for a successful and rapidly growing support engineering team!, • 5+ years of experience in technical support engineering, solutions engineering, or developer support roles., • 2+ years of experience managing or leading technical support or solutions teams., • Strong technical background with experience working with APIs, integrations, and debugging customer implementations., • Experience supporting technical products used by developers or product teams., • Excellent verbal and written communication skills., • Demonstrated ability to manage incidents, escalations, and cross-functional collaboration., • Strong operational mindset with experience building processes, documentation, or support tooling., • The cash compensation range for this role is $151,000-176,000, • Unlimited PTO + 10 company holidays, • Quality health, vision, and dental insurance, • 401K Plan, • $200 one-time home office stipend, • Free dinner when working past 7pm

Job Description Enterprise Account Executive closes deals. This one builds a category. The Company Sendbird is on a mission to build the AI workforce of tomorrow. For over a decade, we built the infrastructure behind conversations—chat, voice, video, messaging APIs—and became the #1 CPaaS platform for in-app communications. 4,000+ brands trust us. 7 billion messages flow through our platform every month. 300 million monthly active users. We powered conversations for DoorDash, Match Group, Noom, Yahoo Sports, Rakuten, and thousands of others. We were good at what we did. Really good. We also saw it early: AI would fundamentally reshape how businesses talk to customers. The infrastructure we'd spent a decade building would become commoditized. The value would move up the stack—into intelligence, into experience, into outcomes. We had a choice: protect what we built, or reinvent ourselves. We chose reinvention. In December 2024, we made the full strategic pivot to AI-first customer experience. By February 2025, we'd launched our AI agent for enterprise CX—built on a decade of conversation data, now with intelligence on top. And in November 2025, we rebranded to delight.ai. The name says it all. AI's real promise isn't efficiency or cost savings. It's giving customers back something they lost—the feeling of being truly understood and cared for. Not satisfied. Delighted. The Product Delight.ai is the AI concierge for customer experience. Most AI agents forget you the moment the conversation ends. Ours doesn't. Delight.ai builds memory over time, learns preferences, and connects context across every channel—chat, SMS, email, voice, WhatsApp—without losing the thread. We're building AI that makes customers feel understood, seen, and remembered. Why Enterprise Account Executive AI is reshaping how enterprises think about customer experience, and most of them don't fully understand what that means yet. That's the opportunity. You're not just selling software. You're showing companies what's possible when intelligence gets layered on top of every customer conversation they'll ever have. Sendbird is at an inflection point. We've spent a decade earning trust with 4,000+ enterprise brands. Now we're bringing them into the AI era with delight.ai. We need sellers who can challenge the way customers think, open doors that don't exist yet, and close deals that matter. The Role You'll own the full enterprise sales cycle, from self-sourced outbound to closed-won, targeting accounts in the Central and West Coast markets. This role is for someone who thrives with ownership, moves fast, and knows how to make a complex sale feel inevitable. You might be this person if: • You build your own pipeline and use AI to do it faster and smarter than anyone else., • You can walk into a room of skeptical enterprise stakeholders and leave them seeing a problem they didn't know they had., • You're as comfortable talking to a developer about API infrastructure as you are with a CFO about ROI., • Multi-threaded enterprise deals energize you rather than slow you down., • You obsess over your pipeline. 3x isn't enough, you want 5x, and you know exactly what's in it at any given moment., • You've closed high six- and seven-figure deals and can speak to exactly how you did it., • You bring energy and humor without sacrificing precision., • You debrief losses out loud, share what's working, and actively make the people around you better. You know how to read a room., • 5–8 years of technology sales experience with a proven track record of closing enterprise-level deals., • Demonstrated success in complex solution sales. High six- to seven-figure deal sizes, long cycles, multiple stakeholders., • An outbound-first mentality. You build your own pipeline and don't rely on inbound to hit quota., • Fluency using AI tools in your day-to-day workflow, from prospecting and account research to pipeline management and reporting., • Source, qualify, and close enterprise deals end-to-end. Outbound is your starting point, with AI-powered prospecting and enrichment as core parts of your process., • Build and maintain a 3–5x qualified pipeline with consistent, disciplined hygiene., • Challenge enterprise buyers, product, engineering, and CX leaders, to rethink how AI-powered conversations can transform their customer experience., • Navigate complex, multi-threaded sales processes across large organizations, aligning stakeholders at every level., • Bring a consultative lens to every deal. Understand the customer's business deeply before you ever pitch a solution., • Use AI to automate research, prep, and follow-up so your time stays focused on high-value selling activity., • Formal SaaS sales training from a competitive, high-performance environment., • Background at a top-tier professional services firm (investment banking, management consulting, or similar)., • Experience selling AI, Customer Support, or Customer Experience software., • Previous success selling to enterprise developer and product teams., • Familiarity with vertical industries like communities, live-streaming, on-demand, ecommerce, or gaming., • Hands-on experience with AI workflow tools such as Claude, Make, n8n, or similar platforms to automate and scale personal and team productivity., • 20 days PTO, 13 paid US company holidays, 7 sick days, 1 volunteer day, plus 2 rest/rejuvenation and birthday days off, • Company subsidized medical, dental, vision insurance, • Flexible spending accounts, • Parental leave, • Life and disability insurance For cash compensation, we set standard ranges for all roles based on function, level, and geographic location. To determine our ranges, we utilize a variety of compensation data benchmarked against similar-stage growth companies. A reasonable estimate of the current salary range for this role is $230,000 - $300,000 OTE . This range is specific to the San Francisco Bay market. We consider several factors when making final compensation decisions including, but not limited to, skill sets, experience and training, licensure and certifications, and other business and organizational needs which may cause your specific offer to vary from the amount listed above. Flexible Work Policy We offer a flexible work schedule at Sendbird. We also value collaboration and relationship building. With those values in mind, we require all employees within an hour's commute range of their local office to gather with their team in the office three days per week as a minimum. Some of our roles require a more frequent in-office schedule. Please work with your manager to understand the office time requirements for your position. What diversity and inclusion mean to us There is no such thing as a perfect candidate and the best employees come from a wide range of backgrounds, experiences, and skill sets. Sendbird is a place where everyone can learn and grow. We respect, promote, and encourage diversity for equal employment opportunities and encourage you to apply if this role excites you. Why Sendbird We're not optimizing an existing market, we're defining a new one. Delight.ai sits at the intersection of a decade of conversation infrastructure and the AI moment that's reshaping every customer relationship on the planet. If you want to own a territory, build something real, and be part of a team that's moving with genuine urgency, this is the place.

Synthflow Ai Growth Engine Intern.Synthflow AI is an enterprise AI agent platform that unifies customer operations across voice, chat, and messaging.Our agents handle routine interactions at scale so teams can focus on high-value work.Over 20M hours of operations automated.Backed by Accel, Atlantic

Job Description StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. About the Active Support Team: The Active Support team is transforming post-purchase experiences. Our mission is to resolve as many customer issues as possible instantly, without a live agent, while ensuring exceptional service when human support is needed. About the Role: As an Software Engineer II (Backend), you'll build 0-to-1 features for our AI-powered chatbot, creating step-by-step experiences that help customers resolve issues directly in chat using OpenAI and Claude. You'll own a key part of the customer journey; handling orders, ticket substitutions, and refunds, impacting millions of users worldwide. Location: Hybrid (3 days in office/2 days remote) – New York, NYWhat You'll Do • Build and scale intelligent systems from the ground up, shaping the future of automated customer support globally., • Develop agentic AI that takes action on behalf of users, resolving issues faster and smarter., • Create cutting-edge backend solutions powering millions of customer interactions worldwide., • Exposure to AI-Driven User Experiences: hands-on experience building real-world products that integrate and present AI-powered functionality., • Collaborative Engineering Environment: work alongside software engineers of varying experience levels in a team that values thoughtful execution and shared ownership., • 2 - 4 years of software development experience across languages such as Java, Python, Go, or C#, • AI experience with interest in building AI-enabled interfaces and workflows; exposure to tools like ChatGPT, Claude, or other LLM-based systems., • Product-oriented mindset with a passion for building intuitive, high-quality user experiences that balance technical correctness., • Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale., • Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact., • Flexible Time Off: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed.

Job Description Role Summary: We’re looking for a motivated Junior Amazon Connect Developer to join our team in building and supporting cloud-based contact center solutions. In this role, you’ll work closely with senior engineers and business teams to design, implement, and optimize scalable systems leveraging Amazon Connect and various AWS services. This is a great opportunity to gain hands-on experience in cloud development and customer engagement technologies. Key Responsibilities: * Contact Flow Development: * Design, develop, and maintain voice and chat contact flows in Amazon Connect. * Implement serverless functions using AWS Lambda (Node.js, Python, or Java). * Incorporate Amazon Lex for conversational chatbot functionality. * System Integration: * Connect Amazon Connect with internal systems and third-party tools using APIs, S3, DynamoDB, and API Gateway. * Support integrations with CRMs like Salesforce or ServiceNow. * Configuration & Optimization: * Set up routing profiles, queues, and agent hierarchies. * Analyze usage data and feedback to improve system performance and call flows. * Monitoring & Maintenance: * Use CloudWatch for logging, monitoring, and alerting. * Troubleshoot production issues and ensure platform reliability. * Documentation & Collaboration: * Maintain up-to-date documentation for all integrations and flows. * Work with QA, DevOps, and product teams to deliver high-quality solutions. Required Qualifications: * 1–3 years of experience in software development or cloud engineering. * Some hands-on exposure to Amazon Connect or similar contact center technologies. * Familiarity with AWS Lambda, Lex, S3, DynamoDB, and API Gateway. * Basic programming knowledge in Node.js, Python, or JavaScript/TypeScript. * Understanding of CI/CD pipelines, Git, and Infrastructure-as-Code (CloudFormation or CDK). * Strong analytical and communication skills. * Willingness to learn and receive training on Amazon Connect. Preferred Qualifications: * AWS Certified Developer or AWS Cloud Practitioner certification. * Experience with Salesforce Service Cloud Voice or similar CRM integrations. * Understanding of telephony, IVR, and ACD systems. * Familiarity with Agile/Scrum development environments.

Job DescriptionAbout Clarion The hardest part of healthcare shouldn’t be getting an appointment. Today, medical staff drown in backlogs of calls, faxes, and scheduling requests. Patients struggle to get the right care at the right time, staff members burn out, and clinics lose billions in revenue. This isn’t a failure of care - it’s a failure of capacity. Clarion exists to solve this problem at scale. Our AI agents handle the patient journey from end-to-end; from scheduling and rescheduling appointments, to managing referrals and prescription refills. Our AI performs complex workflows with a human-like touch that patients love. We’ve raised $5.5M from Accel, Y Combinator, and Sequoia (Scout), along with founders from Ophelia, Medallion, and Counsel Health. We’re an in-person team based in New York City, moving quickly to ensure every patient gets the care they need. Why Join Us? * Solving a real-world challenge: We’re addressing a critical problem that affects millions of patients and providers daily. Our AI agents outperform human schedulers and restore the time needed to focus on patients. * Early-stage with strong market validation: We’ve seen 10x revenue growth in the last year alone. We handle millions of interactions for customers ranging from virtual care clinics to a $5B health insurance company. * Founding team: Our co-founders bring a deep understanding of the healthcare landscape. Our CEO is a Stanford/Harvard-trained physician and clinical ops leader (Two Chairs, Ophelia), and our CTO is an ex-Amazon Alexa engineer who led AI/ML teams at Salesforce. * Outsized early impact: You'll be joining at an early stage where your contributions shape our company's trajectory, processes, and culture, with significant influence on how we grow. * In-person collaboration advantage: We've built in-person since day one and maintain this as a strategic advantage. We move faster, build stronger bonds, and create a cohesive culture. What You'll Be Working On * Build and ship: Write production code—building integrations, configuring AI agents, and implementing platform logic based on customer workflows and scheduling rules. * Own implementations end-to-end: Create and manage technical project plans from scoping through go-live. Coordinate internal resources, delegate workstreams, and drive timelines to completion. * Engineer our moat: Our competitive advantage is our ability to stay in the weeds with customers until the technology works. You will architect the high-leverage systems and playbooks that transform these complex implementations into a repeatable, scalable infrastructure. * Be the technical face to customers: Serve as primary POC for customer technical teams—leading discovery sessions, unblocking integration issues, and building trusted advisor relationships. * Optimize AI agents in production: Monitor agent performance at scale, diagnose failure modes, and iteratively refine behavior to improve accuracy, reliability, and patient experience over time. * Grow accounts: Drive expansion post-launch by deploying new features, identifying upsell opportunities, and proactively solving emerging pain points. * Shape the product: Translate field observations and customer feedback into actionable requirements that inform the product roadmap. Requirements * Technical foundation: 3+ years of engineering experience shipping production systems while working directly with customers. This is a hands-on coding role, not purely project management. * Project leadership: Track record of managing complex, multi-workstream technical projects and coordinating cross-functional resources to deliver on time. * Customer-facing presence: Experience as a primary technical POC—comfortable leading architecture discussions and building relationships with technical stakeholders. * Product intuition: Ability to synthesize customer needs into insights that bridge field reality and engineering priorities. Interesting Technical Challenges * AI agent tuning at scale: Configure voice agents for medical terminology and complex scheduling logic, then continuously refine as real-world edge cases emerge in production. * Workflow orchestration: Map and automate multi-step processes—scheduling, insurance verification, prescriptions, documentation—across diverse customer environments. * Personalization that scales: Deploy agents that adapt to each organization's unique protocols and terminology without requiring bespoke rebuilds for every customer. * Debugging AI in the wild: Diagnose agent failures across integrations and LLM behavior, then implement fixes that generalize across deployments. * Shape the product from the field: As the closest touchpoint to customers, identify patterns across deployments and translate insights into product requirements that drive the roadmap. What we offer * Direct mentorship: Work closely with our founding team and experienced leaders who will invest in your professional development * Meaningful equity: Early employee stock options with significant ownership potential * Comprehensive benefits: 100% covered healthcare, flexible time off, commuter benefits, weekly team lunches * Team culture: Quarterly retreats and monthly team events that build genuine connections in our close-knit NYC team * Impact at scale: Work that builds the infrastructure to help millions of patients access care Interview Process At each stage, we decide within 24hrs and update you shortly after: * First Chat (15 min) [Virtual]: A casual conversation about the role and your experience to see if there's a good initial fit. * Applied Coding Exercise (1 hr) [Virtual]: Hands-on challenge for building and optimizing AI agents in healthcare. * Experience & Culture (30 min) [Virtual]: Deep dive into work style, culture fit, and previous experience. * Onsite (Half-day) [In-Person]: Visit our New York office to meet the team, explore our platform, and solve technical problems collaboratively. If you’re ready to be the customer champion that transforms healthcare communication, we’d love to hear from you. Compensation Range: $150K - $200K

Job DescriptionAbout Monstro Monstro is an AI-native fintech platform reimagining how people and institutions manage money. We're building a modern foundation for financial decision-making—combining intelligence, automation, and elegant design to help users make smarter choices with confidence. Our team includes experienced builders from leading fintech, wealth management, and technology companies, united by a shared goal: to create a category-defining product that transforms how financial insight is delivered and acted on. About the Role We're looking for a Senior AI Engineer who is, first and foremost, a strong software engineer—someone who writes clean, well-tested, production-grade code and brings the same engineering rigor you'd expect from any senior engineer on our team. On top of that foundation, you'll bring deep expertise in AI systems: building agentic workflows, deploying both commercial and open-source models, and designing intelligent features that work reliably at scale. You'll build the AI-powered capabilities at the core of our platform—systems that can reason, plan, and act on behalf of users while remaining trustworthy, explainable, and aligned with user intent. Because we deploy within our partners' infrastructure, you'll work with both commercial model APIs (such as Anthropic's Claude) and self-hosted open-weight models, choosing the right tool for each use case based on performance, cost, security, and deployment constraints. What You'll Do Build Production Software Write clean, maintainable, well-tested code. Design APIs, services, and data models with the same rigor expected of any senior engineer. Participate in code reviews, contribute to architecture decisions, and uphold engineering best practices across the codebase. You'll own features end-to-end—from design through deployment and monitoring. Design and Build Agentic AI Systems Design and implement autonomous AI agents with planning, memory, and tool-use capabilities. Build orchestration layers that coordinate multi-step agent workflows, manage conversational context, and handle fallback behaviors gracefully. Integrate both commercial model APIs and self-hosted open-weight models depending on the requirements of each use case. Deploy and Operate AI Models Deploy and manage self-hosted open-weight LLMs within secure cloud environments. Optimize inference performance through quantization, batching strategies, and efficient serving frameworks (vLLM, TGI, or similar). Integrate commercial model APIs (Anthropic, OpenAI, etc.) where appropriate, managing cost, latency, and reliability. Build systems that can operate in environments with limited or no external network access. Build RAG & Knowledge Systems Design retrieval-augmented generation pipelines that ground AI responses in authoritative, up-to-date information. Develop chunking, indexing, and retrieval strategies optimized for financial content. Integrate AI systems with structured knowledge bases and real-time data sources. Ensure AI Quality and Safety Develop evaluation frameworks that measure reliability, consistency, and safety—not just accuracy. Build automated testing pipelines for AI systems, including regression testing, adversarial testing, and edge case detection. Implement guardrails that prevent harmful, biased, or off-topic outputs. Design transparency mechanisms and audit trails that support compliance and debugging. Adapt and Fine-Tune Models Adapt open-weight foundation models for domain-specific tasks using techniques like instruction tuning, LoRA, QLoRA, and parameter-efficient fine-tuning. Implement prompt engineering strategies and evaluate their effectiveness. Optimize model performance for latency, cost, and quality tradeoffs. Monitor and Improve Production AI Implement monitoring for model drift, latency, error rates, and output quality. Design for graceful degradation when models or services underperform. Create feedback loops that surface production issues and drive continuous improvement. Collaborate with Data Engineers and ML Engineers to ensure seamless integration with data pipelines and feature stores. Mentor and Collaborate Mentor junior engineers on AI development and software engineering best practices. Collaborate with product managers and domain experts to translate business needs into AI capabilities. Communicate complex AI concepts clearly to technical and non-technical stakeholders. What We're Looking For Core Engineering Experience • 7+ years of software engineering experience, with a track record of shipping production systems, • Strong proficiency in Python and/or Go, with clean, well-structured code, • Solid understanding of software engineering fundamentals: system design, API design, testing, code review, CI/CD, and version control, • Experience with containerization (Docker, Kubernetes) and cloud infrastructure, • 3+ years of hands-on experience building AI/ML-powered features or products, • Experience building agentic AI systems—chat interfaces, multi-step workflows, tool-use patterns, and orchestration frameworks (LangChain, LangGraph, or similar), • Working experience with both commercial LLM APIs (Anthropic, OpenAI) and open-weight models (LLaMA, Mistral, Qwen, or similar), • Experience designing and implementing RAG pipelines with vector databases, • Strong understanding of prompt engineering and LLM behavior optimization, • Familiarity with model serving frameworks (vLLM, TGI, Triton, or similar) and inference optimization techniques, • Experience with model adaptation techniques (LoRA, QLoRA, PEFT, instruction tuning), • A problem solver at heart—you dig into complex problems, explore options, and find practical solutions rather than waiting for direction, • Proactive and self-driven; you identify opportunities and risks before they become blockers, • Innovative and curious; you keep up with a fast-moving field and bring new ideas to the team, • Passionate about building AI systems that are both powerful and trustworthy, • Excellent communicator who can explain AI behavior and limitations clearly to any audience Why Monstro?, • Ownership & Impact: Shape the future of AI-powered finance—building a category-defining product used by consumers and institutions around the world., • Elite Team: Join a team with leadership that has a track record of scaling companies from early stage to major exits., • Principles-Driven Culture: Work in a culture that values speed, ownership, and impact—what most companies achieve in 90 days, we do in 45., • Comprehensive Compensation Package: Competitive salary, equity, and robust benefits package, including paid health, vision, dental, and disability coverage. Note: This role will be hybrid in office for those in the NYC metro or remote for those in the Denver metro area (but with the expectation of periodic travel to our NYC office) Compensation Range (New York City): $189,000 - $235,000 Compensation Range (Denver Metro): $166,000 - $207,000 *The posted range reflects the base salary for this role across the market ranges for each location. Final compensation will depend on a variety of factors, including experience, skills, internal leveling, and market conditions, and will be offered within the stated range in accordance with applicable pay transparency laws. Ready to Build With Us? If you're excited to contribute to a high-bar team building something meaningful, we love to hear from you!

We're currently looking for individuals across the country to take part in remote paid market research, including online focus groups, product trials, and consumer studies.Earn up to $750 a week in your free time by providing feedback on everyday products and services.If you're comfortable sharing y

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We're currently looking for individuals across the country to take part in remote paid research, including remote focus groups, product trials, and consumer studies.Earn up to $750 a week in your free time by providing feedback on everyday products and services.If you're comfortable sharing your opi

If this sounds like you, we'd love to chat!.

There are times when the product being tested may be discussed in a private chat room that is opened by a market research firm.

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