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Location: Remote - Worldwide Workplace: Remote Remote (EU or US time zones) | Full-time | Reports to the CEO   ABOUT WHIPPY Whippy is the AI native platform for business communication: AI Voice Agents, AI Recruiting, messaging, VoIP, deep integrations, and our own workflow engine in one system. Our customers do not buy software that helps their employees do the work. They buy AI that does the work.   Our deepest market is staffing and HR, where we are the category leader, and new verticals are already opening behind it. We are bootstrapped and profitable, with named, public case studies showing customers saving $1M+ per year.   THE ROLE We are growing the design team and hiring a Product Designer to own end-to-end product design across Whippy's web dashboard and our React Native mobile app.   You will design the workflows customers use every day: inbox, campaigns, AI agents, in-app calling and VoIP, channel and phone-number setup including 10DLC onboarding, contacts and data, settings and billing. You will also extend and maintain the Whippy design system in Figma, keep it in sync with code and Storybook, and work daily with about 15 frontend and full-stack engineers and the PM.   This is a high-ownership role. You will join customer calls, work with customer success to validate designs for SMB and mid-market teams, and plan large redesigns as staged, testable rollouts.   WHAT YOU'LL DO - Own end-to-end product design across the web dashboard and the React Native mobile app, from discovery through polished, shippable specs - Design complex communication workflows across inbox, campaigns, AI agents, in-app calling and VoIP, channel and phone-number setup including 10DLC onboarding, contacts and data, settings and billing - Extend and maintain the Whippy design system in Figma, including tokens, light and dark mode, and a library of around 60 components - Keep the design system in sync with code and Storybook - Write clear Linear tickets with Figma specs, and review UI PRs with engineering - Work daily with about 15 frontend and full-stack engineers and the PM, in a remote and mostly asynchronous workflow across EU and US time zones - Join customer calls and partner with customer success to validate designs for SMB and mid-market teams - Plan large redesigns as staged, testable rollouts   WHAT WE'RE LOOKING FOR - 4+ years of B2B SaaS product design, with a strong portfolio of complex workflow or communications products - Expert Figma skills, including design systems and variables - Comfortable working remotely and asynchronously across EU and US time zones - Clear, structured communicator who can turn ambiguous product problems into shippable designs - Ownership mindset and comfort working closely with engineering   NICE TO HAVE - Experience shipping React, Tailwind, or Storybook work, including coded prototypes or design-system PRs - Experience with telephony, SMS, CRM, or AI agent products - Mobile design experience, especially React Native - Familiarity with AI coding tools such as Cursor as part of the design and prototyping workflow   WHAT SUCCESS LOOKS LIKE Within 90 days, you will: - Be a trusted design partner to engineering and product on a core area of the dashboard or mobile app - Contribute meaningfully to the Whippy design system and help keep it in sync with code - Ship at least one feature or improvement from discovery through engineering handoff, informed by customer or customer-success feedback - Leave behind clear Figma specs and Linear tickets that engineers can implement without guesswork

Location: Amsterdam ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As an Enterprise Success Manager at Mistral, you own what happens to our most strategic enterprise accounts after the build: you make deployed AI stick in real workflows, keep production ARR healthy, defend renewals, and source the expansion signals Sales closes. Mistral's Solutions teams create high-value AI use cases with our customers. Your job is to make those investments successful beyond delivery — adopting what has been built, operating it with confidence, measuring its business impact, and scaling value across the organization. You will work with customer sponsors, business teams, IT and security stakeholders, and across Mistral with Solutions, Product, Engineering and Support. This is not a high-volume, ticket-queue customer success role. Portfolios are small and deep. It calls for a strategic account mindset, the technical judgment to navigate complex deployment environments, and the energy to build the customer success function as Mistral grows. You will join on one of two tracks (and can move between them): - Adoption track — embedded in flagship transformations while Solutions is still delivering. You own the adoption and change-management motion around the build: user waves, enablement, champions, training programs, and the measurement that proves value is landing. - Operational track — you take accounts through a structured handover once Solutions completes delivery, and own the run phase end-to-end: operational health, value realization, renewals, and expansion signals. In both tracks you operate in close partnership with Solutions: they deliver and hand over; you own post-handover; they re-engage on expansion signals. Occasionally, account teams will also pull you into late-stage pre-sales — authoring the customer training and scale-up plan that gives a buyer confidence in the rollout, a motion already credited in a major European win. WHAT YOU WILL DO OWN THE CUSTOMER SUCCESS AND VALUE PLAN - Build a clear view of each account's objectives, stakeholders, deployed use cases, commitments and risks. Translate it into a shared success plan with owners, milestones and measurable outcomes. - Establish a practical operating cadence with customer sponsors, business owners, IT and delivery teams. Lead success reviews that make progress, risks, decisions and next steps clear. - Define a baseline and track the outcomes that matter for each use case: adoption and usage against entitled seats, customer satisfaction, operational health and business impact. Turn the evidence into a clear value narrative. MAKE DEPLOYMENT REALITIES PART OF THE SUCCESS PLAN - Understand how each customer's deployment model — on-premises, VPC or serverless — affects the products and use cases they can access, operate and scale. Validate the specifics with the technical teams rather than assuming feature parity or identical operating models. - Identify the practical implications of deployment choices: security and data requirements, access and integrations, release and upgrade cadence, available features, capacity, observability and support processes. Explain the trade-offs clearly to customer and Mistral stakeholders. - Translate those constraints into an actionable adoption plan: align enablement and release communications with the version the customer actually runs, account for security approvals and upgrade windows, and agree how to measure usage when telemetry is limited. - Spot risks early, qualify their impact on adoption, renewal or value, and coordinate the right Solutions, Product, Engineering or Support owners to resolve them. Set clear expectations without making unvalidated technical or roadmap commitments. DRIVE ADOPTION, AUTONOMY AND SUSTAINED VALUE - Help customer teams move from a delivered use case to regular, effective use. Identify the users, workflows and change-management needs that determine whether it sticks. - Coordinate onboarding, training, product updates and hands-on enablement with the right Mistral and customer teams. Develop customer champions and train-the-trainer motions so adoption scales beyond direct Mistral involvement. - Prepare the transition from delivery to run: clarify operational ownership, support and escalation paths, and the resources users need to succeed independently. - Monitor adoption and customer health, investigate where usage or value is falling short, and lead a coordinated plan to address the causes. DEFEND AND GROW THE COMMERCIAL RELATIONSHIP - Own the renewal motion for your accounts: know every renewal date, the auto vs non-auto renewal terms, and the risk story behind each one. Run the renewal play early — no surprises at renewal time. - Track and improve account NRR. Identify new use cases, teams and expansion opportunities, and share them with the account team grounded in demonstrated value. - Lead business reviews with the account team: value delivered, risks owned, decisions needed, roadmap asks. BRING THE CUSTOMER VOICE INTO MISTRAL - Gather and qualify feedback from users, technical teams and sponsors. Distinguish enablement needs from product gaps, deployment constraints and support issues, and route each to the right owner. - Track important requests and communicate progress and limitations back to the customer, while Product and Engineering retain ownership of product and technical decisions. BUILD THE COMPANY AS WELL AS THE ACCOUNT - Create the playbooks, success plans, handover practices and measurement approaches that are missing. Test them with customers, improve them, and make them reusable across accounts. - Bring structure to ambiguity: identify what needs to happen, make a plan, mobilize the right people and follow through — without waiting for a perfect process or detailed instructions. - Roughly a fifth of your time is protected, rotating build time for exactly this work; it is part of the job, not extra to it. WHAT WE'RE LOOKING FOR - 5+ years of experience in customer-facing roles, such as Customer Success, Delivery/Implementation, or Solutions Consulting, ideally in a technical AI or SaaS environment. - Experience owning outcomes for enterprise customers of technical products or deployed solutions — adoption and commercial outcomes (retention, renewal, expansion), not relationship management or activity reporting. - Strong technical fluency in enterprise deployment models. You can identify what a deployment type (on-premises, VPC, serverless) means for available features, telemetry, upgrades and security reviews, and you validate specifics with technical teams instead of assuming parity. - Ability to engage credibly with architects, engineers, IT and security teams, while translating technical trade-offs into clear business implications for executives and users. You know when to bring in a deeper technical expert. - Strong ownership and builder energy. You have created structure or improved a process in an ambiguous, fast-moving environment and are motivated to build a company, not wait for clear directions. - Excellent communication, stakeholder management and execution skills. You align teams without formal authority, surface risks early and drive decisions through to completion. - Analytical and commercially minded: you can define meaningful success metrics, assess customer health, and are comfortable carrying renewal and NRR accountability. - Fluent English; professional French strongly preferred (a significant share of our enterprise base is French-speaking). NICE TO HAVE - Experience with AI, machine learning, data platforms or complex enterprise software, including production deployments in regulated or security-sensitive environments. - Experience working alongside deployment, engineering or professional services teams on custom use cases, and the transition from implementation to ongoing operation. - Experience building adoption, change-management or customer education programs across large organizations. - Experience at a forward-deployed, solutions-led company. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Dublin, Ireland Workplace: OnSite Dublin, Ireland | On-site | Full-time | Reports to the CEO   ABOUT WHIPPY Whippy is the AI native platform for business communication: AI Voice Agents, AI Recruiting, messaging, VoIP, deep integrations, and our own workflow engine in one system. Our customers do not buy software that helps their employees do the work. They buy AI that does the work.   Our deepest market is staffing and HR, where we are the category leader, and new verticals are already opening behind it. We are bootstrapped and profitable, with named, public case studies showing customers saving $1M+ per year.   THE ROLE We are growing the design team and hiring a Product Designer to own end-to-end product design across Whippy's web dashboard and our React Native mobile app.   You will design the workflows customers use every day: inbox, campaigns, AI agents, in-app calling and VoIP, channel and phone-number setup including 10DLC onboarding, contacts and data, settings and billing. You will also extend and maintain the Whippy design system in Figma, keep it in sync with code and Storybook, and work daily with about 15 frontend and full-stack engineers and the PM.   This is a high-ownership role. You will join customer calls, work with customer success to validate designs for SMB and mid-market teams, and plan large redesigns as staged, testable rollouts.   WHAT YOU'LL DO - Own end-to-end product design across the web dashboard and the React Native mobile app, from discovery through polished, shippable specs - Design complex communication workflows across inbox, campaigns, AI agents, in-app calling and VoIP, channel and phone-number setup including 10DLC onboarding, contacts and data, settings and billing - Extend and maintain the Whippy design system in Figma, including tokens, light and dark mode, and a library of around 60 components - Keep the design system in sync with code and Storybook - Write clear Linear tickets with Figma specs, and review UI PRs with engineering - Work daily with about 15 frontend and full-stack engineers and the PM, in a remote and mostly asynchronous workflow across EU and US time zones - Join customer calls and partner with customer success to validate designs for SMB and mid-market teams - Plan large redesigns as staged, testable rollouts   WHAT WE'RE LOOKING FOR - 4+ years of B2B SaaS product design, with a strong portfolio of complex workflow or communications products - Expert Figma skills, including design systems and variables - Comfortable working remotely and asynchronously across EU and US time zones - Clear, structured communicator who can turn ambiguous product problems into shippable designs - Ownership mindset and comfort working closely with engineering   NICE TO HAVE - Experience shipping React, Tailwind, or Storybook work, including coded prototypes or design-system PRs - Experience with telephony, SMS, CRM, or AI agent products - Mobile design experience, especially React Native - Familiarity with AI coding tools such as Cursor as part of the design and prototyping workflow   WHAT SUCCESS LOOKS LIKE Within 90 days, you will: - Be a trusted design partner to engineering and product on a core area of the dashboard or mobile app - Contribute meaningfully to the Whippy design system and help keep it in sync with code - Ship at least one feature or improvement from discovery through engineering handoff, informed by customer or customer-success feedback - Leave behind clear Figma specs and Linear tickets that engineers can implement without guesswork

Location: San Francisco Patreon is a media and community platform where over 300,000 creators give their biggest fans access to exclusive work and experiences. We offer creators a variety of ways to engage with their fans and build a lasting business including: paid memberships, free memberships, community chats, live video, and selling to fans directly with one-time purchases. Ultimately our goal is simple: fund the creative class. And we're leaders in that space, with: - $10 billion+ generated by creators since Patreon's inception - 100 million+ free memberships for fans who may not be ready to pay just yet, and - 25 million+ paid memberships on Patreon today. We're continuing to invest heavily in building the best creator platform with the best team in the creator economy and are looking for an AI Enablement Manager to support our mission. This role is based in New York or San Francisco and open to those who are able to be in-office 3 days per week on a hybrid work model. About the Team The IT team makes sure every Patreon employee has the tools they need to build and support our product. We sit alongside Workplace, People Operations, and Systems which gives us a view across every business function and the access to act on what we see. You’ll join a team that already administratively owns the AI stack, the identity and access layer, and the systems that connect them. About the Role Patreon runs on a modern AI stack (Claude, Zapier, Replit, Gemini, Databricks and more), and most of the company uses it daily. What we have not yet built is the connective tissue between the people who know their workflows best and the practices that turn those workflows into durable, governed tools. This role owns that connection. You will work alongside teams across the company to redesign how work gets done, in two directions at once: building new workflows and tools with AI, and making existing workflows AI-enabled so that the systems people already rely on become faster and smarter. Some of that you will build yourself. Some of it will help enable non-eng teams to build. All of it you will ship with the same discipline necessary to maintain systems over time: version control, review, testing, staged rollout, monitoring and a clear ownership. The scope is company-wide and the role is an individual contributor with real autonomy. You will set the roadmap, run intake, and be accountable for a portfolio of deliverables and the metrics behind them. These deliverables support Patreon's push for operating leverage: a company where every function gets measurably more done as AI becomes part of how work happens, without trading away data integrity or trust. Rough time allocation is a guide, not a rule. PARTNER WITH ENGINEERING TO ENABLE NON-ENG TEAMS TO BUILD INTERNAL TOOLS (ABOUT 25%) - Operate as the standing bridge between business functions and Engineering. Write problem statements, MVP definitions, data contracts and success criteria that engineers can build to support non-eng tooling. - Carry prototypes into internal production in partnership with Engineering: participate in design and code review for internal tools, and own the business side of launch and post-launch iteration - Co-own, with Engineering and Security, the standards for how AI-enabled workflows touch production data: data classification, read and write permissions, connector and agent approval, audit logging, retention, and what must never leave a governed environment - Help Engineering prioritize internal tooling work by bringing quantified business impact, clear scope and committed business owners to the table DISSECT WORKFLOWS AND CO-BUILD AUTOMATION WITH THEIR OWNERS (ABOUT 30%) - Map high-friction workflows end to end with the people who run them, and identify where AI removes steps, where it augments judgment, and where it should stay out - Co-build with the owner using no-code and low-code platforms (Zapier, Claude, Replit, Google Workspace, Slack). The owner leaves able to run, monitor and extend what you built together - Make existing systems AI-enabled where that beats building something new: layering agents, summarization, classification or routing onto tools teams already use - Run a lightweight intake and prioritization process for requests, scored on impact, effort, data readiness and risk - Carry light product and project management for each build: scope, milestones, stakeholder updates, launch, and a named owner afterward - Maintain a shared library of reusable automations, prompts, agents and templates with clear ownership and discoverability RAISE AI LITERACY AND DEVELOP POWER USERS (ABOUT 20%) - Design and deliver role-based enablement for low-adoption users, built around their actual work rather than generic tool training - Identify and develop at least one power user per function, with a defined path from first use to independent builder - Publish company-wide skills, prompts and workflow templates, with a cadence for keeping them current as tools change - Run office hours, demo days and show-and-tell sessions that surface what teams have built and what they need next MEASURE ADOPTION AND REPORT IMPACT (ABOUT 10%) - Own adoption metrics across the AI stack: active use by function, depth of use (templates reused, automations running, agents in production), and outcome impact (cycle time, ticket deflection) - Extend the existing AI adoption dashboard and publish a monthly readout to leadership with recommendations on where to invest, simplify or stop - Quantify the impact of individual builds so the portfolio can be ranked on evidence GOVERN, ASSESS AND PLAN (ABOUT 15%) - Own the tool cost and benefit view: usage against spend by platform, consolidation recommendations, renewal inputs - Run a periodic assessment of AI maturity by function and maintain a rolling 6 to 12 month roadmap for enablement and internal tools - Design and apply change management for new tools and workflow changes, including comms, training sequences and feedback loops - Partner with Talent on AI fluency interviewing: contribute to rubrics, calibrate interviewers and help assess candidates for roles where AI fluency is a hiring criterion What you’ll need - 6+ years in roles such as business systems, internal tools, technical program management, solutions engineering, operations or enablement, with a track record of building things other people adopted - Hands-on fluency with current AI tools and no-code and low-code automation platforms (for example Zapier, Make, n8n, Claude, ChatGPT Enterprise, Replit or similar). You have built working automations and agents for real business processes, and you can show them - Working familiarity with how software is deployed: version control, code review, testing, environments, staged releases, monitoring and rollback. You do not need to write production software, but you can read and lightly modify code (Python, SQL, JavaScript), work with APIs, and hold your own in a design review - Experience translating between business stakeholders and engineers: writing requirements, defining MVPs, negotiating scope - Analytical skill to define instrumentation, pull usage data (SQL or spreadsheets), and present a clear "so what" to leadership - Experience designing learning or enablement programs that changed behavior, with evidence beyond attendance - Familiarity with data governance and responsible AI practices in a business context: data classification, permissions, vendor evaluation, risk review - Ability to set your own priorities in an ambiguous space, run multiple workstreams, and keep stakeholders informed across teams Bonus if you have: - Experience working closely with cross-functional partners in roles that are typically non-technical, so you understand how their work actually flows and where the friction lives - Experience with Databricks, Workday, Ashby, Lattice or similar enterprise systems - Experience building champions networks or power-user programs - Prior work on hiring rubrics or interview design We hire talented and passionate people from different backgrounds because workplace diversity and inclusion is critical to our ability to serve creators worldwide. If you’re excited about a role but your past experience doesn’t match with every bullet point outlined above, we strongly encourage you to apply anyway. If you’re a creator at heart, are energized by our mission, and share our company values, we’d love to hear from you. About Patreon Patreon powers creators to do what they love and get paid by the people who love what they do. Our team is passionate about making this mission and our core values come to life every day in our work. Through this work, our Patronauts: - Put Creators First | They’re the reason we’re here. When creators win, we win. - Build with Craft | We sign our name to every deliverable, just like the creators we serve. - Make it Happen | We don’t quit. We learn and deliver. - Win Together | We grow as individuals. We win as a team. Patreon is proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected class. If you need a reasonable accommodation during the interview process, please let us know via email at accommodations@patreon. Patreon offers a competitive benefits package including and not limited to salary, equity plans, healthcare, flexible time off, company holidays and recharge days, commuter benefits, lifestyle stipends, learning and development stipends, patronage, parental leave, and 401k plan with matching. Patreon operates under a hybrid work model, where employees based in office locations are expected to come into the office three days per week, excluding sick time and paid leave. The goal of this policy is to be intentional about the in-person time we spend together to strengthen the feeling of community at Patreon. Candidates hired into remote-eligible roles are not expected to meet the same requirements. At Patreon, we believe in fair and transparent pay. In compliance with New York and California pay transparency laws, we are sharing the expected salary range for this role. The posted salary range is dependent on the location and the level. This range may encompass multiple levels within the role’s job family. The final offer will be based on candidate’s experience, skills, competencies, and geographic location, aligning with the appropriate job level within Patreon’s leveling framework. For remote employees located outside CA and NY, salary may vary based on location and local market conditions. Patreon reserves the right to modify or update compensation and benefits at any time.

Location: Remote About the Team At Netlify, we’re a remote-first, globally distributed company with 120+ employees working across 13 countries around the world. Together, we’re building the platform for building and shipping web apps, with a mission to help anyone bring their ideas to the web. As a Talent Partner, you’ll play a key role in bringing in the people who will shape Netlify’s next stage of growth. You’ll partner closely with hiring leaders to help them make thoughtful, high-quality hiring decisions and will be deeply embedded in understanding this evolving job market and what makes not only great talent, but folks who align with Netlify’s mission.  With our team, you’ll recruit across a wide variety of teams and talent markets, owning the full recruiting lifecycle and partnering closely with leaders across Sales, Marketing, Engineering, Product, Finance and other functions. Rather than specializing in one area, you’ll build context quickly, learn what great talent looks like across different parts of the business, and help us find and hire exceptional people. We’ve already built a number of our own tools and workflows on Netlify to make our day-to-day work better, and we’re continuing to experiment with how AI can create even more leverage. With our team, you’ll be using the same platform you’re helping grow the team behind by shipping tools that improve your own work, experimenting with new ways of working, and contributing to how we continue to evolve how we hire. What You'll Do Own full-cycle recruiting across a broad mix of functions -  GTM, G&A, and R&D - from intake through accepted offer, without needing a sourcer, coordinator, or ops partner to be effective Run search kickoffs, define and calibrate candidate profiles in partnership with hiring managers, and establish your own search strategy rather than waiting for one to be handed to you Independently develop proactive sourcing approaches for each search and build pipelines of passive talent while continuing to cultivate talent for difficult-to-fill roles and future hiring needs Conduct recruiter screens and develop a clear, evidenced point of view on candidates - sending hiring managers slates with real recommendations Own weekly search meetings with hiring managers: bring funnel data, market feedback, and a perspective on what's working and what isn't; diagnose problems and propose changes rather than just reporting that pipeline is light Act as a trusted talent advisor to hiring managers as you partner with them on their searches,  bringing market insight, recruiting expertise, and thoughtful pushback when it will lead to a stronger hiring decision Partner across the People Team on talent strategy, workforce and organizational planning with HR Business Partners, and with People Operations on scalable solutions and processes. Manage offers and candidate closing end-to-end, while delivering a responsive, thoughtful, and high-touch candidate experience throughout every stage of the process -  including for candidates we ultimately don't hire Use recruiting metrics such as funnel conversion, time to fill, time to hire, sourcing performance, and candidate feedback to identify patterns, inform decisions, and continuously improve how we hire Design and build AI-assisted and vibe-coded recruiting workflows, evaluate them critically, and identify new opportunities to create leverage - without waiting to be assigned an automation project What You'll Bring Enough full-cycle recruiting reps to operate independently from day one - you've had several years of experience personally run intake, sourced, screened, managed HM relationships, and closed candidates across multiple simultaneous searches A track record of encountering unfamiliar roles or functions and figuring out how to recruit them effectively, rather than defaulting to a narrow specialty A history of sourcing and engaging passive candidates, ideally at companies where the logo wasn't doing most of the recruiting for you - you've had to create interest, not just harvest it Demonstrated ability to partner with hiring managers by running search meetings, interpret and pushing back on feedback, recognizing when calibration is off, and owning the relationship Experience using funnel data to change your behavior - when four candidates get rejected, your instinct is to investigate why, not to source a fifth You can execute quickly across a high volume of searches while maintaining a high bar for quality, balancing speed with the judgment needed to find the right talent for highly specialized roles. Experience working with imperfect infrastructure - you've operated without a dedicated sourcer, coordinator, or mature ops team and made it work A history of noticing broken or inefficient workflows and doing something about them, whether through AI tools, automation, process changes, or creative problem-solving - you've improved something without being told to Strong organization and communication skills, with the ability to keep multiple searches, stakeholders, candidates, and decisions moving in a distributed environment without sacrificing the details or the human experience Proficiency with an ATS and the broader recruiting toolset (we use Greenhouse), and comfort experimenting with AI-powered tools to meaningfully improve recruiting quality or throughput We don't require educational qualifications for the role - we're interested in the experience, judgment, and skills you've developed through your work. This Role is a Great Fit If You care deeply about the people behind every application and recognize that looking for a new role is a meaningful decision in someone’s life. You lead with empathy, communicate openly, and follow through on what you say you’ll do. Whether someone joins Netlify or not, you want them to feel that their time was respected, they were treated with care, and they had a thoughtful experience with us. You're energized by functional variety. An unfamiliar finance role or a senior engineering search doesn't become "that's not my specialty." You get curious, ask good questions, and figure it out You work well in an environment that resets every few months. Priorities shift, reqs change, and that doesn't throw you -  you reorient and keep moving You can move fluidly between sourcing, candidate conversations, hiring-manager partnership, data, and operational details while keeping communication clear in a remote, async environment You approach recruiting as a strategic partnership with the business by understanding what teams need, bringing a strong recruiting perspective, and helping hiring leaders make decisions that strengthen their teams. You're the kind of recruiter who, when something isn't working, investigates rather than simply escalating. When you're recruiting for something unfamiliar, you ask the right questions, build context quickly, and develop a point of view before moving the search forward You've noticed inefficient systems before and done something about them. You don't need to arrive with a portfolio of automations, but you have a pattern of seeing a problem, getting curious, and experimenting your way to something better Applying Not sure you meet 100% of our qualifications? Please apply anyway! When applying please include: A resume or short listing of your job history & skills (link to a LinkedIn profile would be fine). We appreciate a cover letter explaining why you would enjoy working in this role at Netlify to get to know you a bit better, though this is not required and will not impact your application. Our mission is to “build a better web” and that cannot be done without a diversity of skill sets, backgrounds and thoughts. Of everything we've ever built at Netlify, we are most proud of our team. Netlify is an Equal Opportunity Employer. We are devoted to building a team of people with diverse backgrounds and lifestyles. Driving equality empowers our team, enables us to innovate, and helps us maintain a more inclusive environment. We don’t discriminate against employees or applicants based on gender identity or expression, sexual orientation, religion, age, race, military/veteran status, citizenship, pregnancy status, or any other differences. If we can do anything to provide a better interview, i.e. accommodate a disability, then please let us know by emailing accommodations@netlify.com . About Netlify Netlify is the most popular way to build, deploy, and scale modern web applications, empowering everyone from fast moving solo developers to enterprise teams. Millions of developers and organizations rely on Netlify as their platform of choice for composing web applications that are production ready, performant, and flexible. Now, as we embrace the next era of software development, we are embedding the same fluid, intuitive experience into the Agent Experience (AX), making it just as simple for intelligent agents to understand, interact with, and act on our platform as it is for developers. Whether your user is human or machine, Netlify ensures the path from idea to URL is seamless, fast, and deeply reliable. We are a Series D company that has raised over $200M from investors such as Andreessen Horowitz, Kleiner Perkins, EQT, Bessemer, BOND, and Menlo Ventures. As a fully distributed company, we aim to create a company culture where the best idea can come from anywhere and strive to be thoughtful, compassionate, and collaborative in our work. If this sounds like something you’d like to be part of, we’re excited to connect with you! At Netlify, we are committed to a compensation philosophy that prioritizes fairness and equity, positions our employee compensation competitively in the market, recognizes and rewards performance, and takes a comprehensive approach to our rewards package. We anchor our compensation philosophy on a market-based approach, therefore salary ranges may differ depending on the labor cost in a particular location. The salary provided is in addition to robust benefits and participation in Netlify’s equity plan. Our hiring range for this role is targeted at $97,000 - $150,000 for most US-based locations and $95,000 - $143,000 CAD for most Canada-based locations. Candidates in premium markets should consult with their Talent Acquisition partner regarding location-based ranges, as they may be higher or lower than the average US range listed. The starting pay will be determined based on multiple factors, including expertise and skills, market demands, experience, internal equity, and applicable geographic location. These compensation packages and ranges are subject to change and may be modified in the future.

Location: Pittsburgh, PA Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in! At Duolingo, you’ll join a team that cares about educating our users, experimenting with big ideas, making fact-based decisions, and finding innovative solutions to complex problems. You’ll have limitless learning opportunities and daily collaborations with world-class minds — while doing work that’s both meaningful and fun. Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. Read our blog to learn more. About the role... Duolingo is looking for a language assessment expert to support test development and research for the Duolingo English Test. You will join our Assessment Research and Development team, collaborating across disciplines to design and evaluate innovative language assessments. Your work will help ensure that assessment tasks and scores are valid, reliable, and fair while advancing Duolingo’s mission through science. 🧠  You will... Collaborate with measurement researchers, engineers, and designers to develop innovative, research-driven language assessments. Design and evaluate assessment tasks, including new interactive item formats. Conduct qualitative and quantitative studies examining the validity, reliability, and fairness of assessment tasks and test scores. Apply language assessment and measurement principles to improve test design, content, scoring, and quality assurance. Translate research findings into clear recommendations for technical and non-technical partners. Share findings through technical reports, research publications, blog posts, and presentations to professional and academic audiences. ✅  You have... A PhD in language testing, applied linguistics, second language acquisition, educational measurement, or a related field. Experience developing or conducting research on high-stakes language assessments or comparable professional experience. Expertise in language assessment, including test design, validity, reliability, fairness, and the measurement of language proficiency. Experience designing and analyzing qualitative and quantitative research studies. Experience communicating research through publications, reports, or presentations. The ability to explain complex measurement concepts clearly to collaborators from different disciplines. Proficiency with data-analysis tools such as R or Python. Strong collaboration, project-management, and organizational skills. ⭐  Exceptional candidates will have... Experience applying large language models, natural language processing, or related technologies to language assessment. Experience collaborating with software engineers, or AI researchers to develop digital assessment products. Experience designing or developing computer-adaptive tests. Expertise in evidence-centered design, interactive-task development, or integrated-skills assessment. The offered salary is dependent upon several factors, including work experience, skills, and internal peer comparisons. The posted range is subject to change in the future. For this role, base salary is supplemented by equity compensation. We encourage you to talk with your recruiter for more information related to compensation for this role! Salary Range: $110,500 — $149,500 USD Benefits: Take a peek at how we care for our employees' holistic well-being with our benefits here . Job Alerts: Sign up for job alerts here . Accommodations: We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact accommodations@duolingo.com . Equal Employment Opportunity: Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Fraud Warning: Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we’ll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information. By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice .

Location: Sydney, Australia About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking a Partner Marketing Lead, APAC, reporting to the Global Head of Partner Marketing, to own partner marketing end to end across a region where partners are central to how Claude reaches enterprises. As our founding APAC Partner Marketing leader, you'll set the plan for the region rather than execute one set elsewhere: you'll build the operating model, carry partner pipeline goals, and turn our work with hyperscale cloud providers, global and regional systems integrators, resellers, and technology partners into a regional go-to-market motion that creates pipeline and drives adoption of Claude. The central challenge is sequencing: ANZ, ASEAN, India, Japan, and Korea differ in their partner ecosystems, buyers, languages, and maturity. In some, local partners are the main route to enterprise customers, and India's systems integrators also deliver for customers worldwide. You'll decide where to invest first, where a global or partner-led program is enough for now, and where to wait. This role calls for the seniority to lead a regional organization and the willingness to start hands-on with a very small team, defining the regional team plan and then hiring and managing the team as headcount opens. The role covers the whole region, including Japan, where you'll build on an established Partner Marketing presence, so that partners and sales teams experience one connected regional approach. Key responsibilities Set the APAC partner marketing strategy, annual plan, and investment priorities, aligned with global Partner Marketing, the regional Partnerships business plan, and APAC sales leadership Decide which markets and partners to prioritize, in what order, and through which motions, and revisit those choices as the business changes Represent Partner Marketing with regional and global leadership, and make clear recommendations on tradeoffs Build the regional operating model, including planning, intake, approvals, reporting, and how global programs are adapted for local markets Define the regional team plan and make the case for where to add capacity Hire, manage, and develop the team as headcount opens, and set the standard for partner marketing in the region Build a network of regional agencies and vendors to extend the team Build joint marketing plans with priority partners, starting with hyperscale cloud providers and their co-sell and marketplace motions, alongside global and regional systems integrators, resellers, and technology partners Equip partners to market and sell Claude on their own, with localized campaigns, content, and workshops they can run with their own teams and customers Lead the regional partner calendar, including joint campaigns, executive engagements, workshops, partner events, and regional partner summits Set pipeline and adoption goals with Partnerships and sales leadership, and take ownership of the results Connect partner activity to priority accounts and open opportunities so that partner and direct sales motions reinforce each other Build the regional pipeline of partner customer stories and public proof points Own the regional partner marketing budget and market development funds, with strong financial discipline and a focus on return Maximize partner co-investment and negotiate effectively with vendors Define how success is measured, including sourced and influenced pipeline and adoption of Claude, and use results to decide where to invest and what to stop Align the regional plan to the International Partnerships business plan, working with its leadership on overall goals and day to day with subregional and country partnerships leaders and partner managers Work with APAC sales leaders on account priorities and where partners can help open or advance deals Coordinate with APAC Field Marketing so that field and partner programs run from one regional plan Work with global Partner Marketing on partners that span regions, such as cloud providers and global systems integrators, as well as Product Marketing, Customer Marketing, Communications, and Marketing Operations, and bring regional partner feedback back into their plans Minimum qualifications 14+ years of B2B enterprise technology marketing, with significant experience in partner or channel marketing Experience owning partner or channel marketing strategy for a region or multiple markets, including priorities and investment decisions Experience leading marketing programs across multiple Asia-Pacific markets, with strong awareness of how those markets differ Experience hiring and managing marketers, or clear leadership experience to build a regional team Experience building programs with cloud providers, systems integrators, resellers, or distributors, and an understanding of co-sell and partner-led pipeline Track record of contributing to significant pipeline or revenue goals, with strong analytics and attribution skills Experience managing substantial marketing budgets, including partner co-funding or market development funds Experience building programs and processes from the ground up, and willingness to do hands-on work while the team grows Ability to work effectively with sales leaders, partner executives, and senior stakeholders, and to move priorities forward with people you don't manage Ability to make thoughtful decisions with incomplete information, and comfort with ambiguity Clear written and verbal communication with executive and regional audiences Care about the societal impacts of AI and about helping organizations adopt AI responsibly Preferred qualifications Experience building and scaling a partner or channel marketing function in APAC at an enterprise software or cloud company Experience leading marketing with cloud providers, systems integrators, and resellers or distributors, including owning the pipeline that came from that work Experience managing a regional team across several APAC markets in partner or field marketing Experience as the first partner or field marketing leader in a new region Experience marketing AI/ML or other complex technical products to enterprises Experience marketing with AWS, Microsoft, or Google Cloud in APAC, including co-sell and marketplace motions Experience launching or scaling a reseller or partner program Established relationships with partners, agencies, or industry organizations in the region Fluency in one or more Asia-Pacific languages Knowledge of regional regulatory and compliance requirements for marketing Experience using Claude or other AI tools to scale marketing work Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Tbilisi, Georgia Workplace: remote At Infomediji, we are building the next generation of Spatial Media: a new way people experience video through interaction, multi-user presence, haptics, AI, and immersive storytelling. DeoVR is a leading immersive streaming platform serving millions of users globally. Content creators and partners are central to this ecosystem, and we are looking for a Product Manager to make their experience simpler, clearer, and more scalable. If you enjoy turning complex operational and technical workflows into products people genuinely enjoy using, this role is for you. The Role We are looking for a Product Engineer - Content Team to own the product experience for our content partners across our streaming platform. This is a product and engineering-facing role. You will work closely with Content Partnerships, Marketing, Design, and Backend Engineering to identify friction, define the right solutions, and deliver high-impact improvements. What You Will Do Own and improve the end-to-end product experience for content partners, creators, and studios Map and optimise key partner workflows, including partner applications, onboarding, content submission, publishing, status tracking, and related processes Turn partner feedback, operational pain points, and business needs into clear product problems and prioritised solutions Independently implement selected solutions, such as internal tools, workflow automations, integrations, prototypes, or partner-facing improvements Work closely with Backend Engineering to define scalable systems, workflows, integrations, and self-service tools Partner with Content and Marketing to improve partner acquisition, activation, engagement, and retention Define product requirements, success metrics, user stories, and delivery priorities Lead product discovery and validate opportunities through qualitative feedback, data, and market research Own the roadmap for content-partner-facing initiatives from discovery through delivery and iteration What We Are Looking For Hands-on software engineering experience delivering and maintaining production applications or features Experience working with backend services, APIs, databases, and third-party integrations Product judgement: you can clarify an ambiguous request, identify the underlying problem, and decide what is worth building Ability to take a solution from an initial idea through technical design, implementation, testing, and release Experience turning complex operational processes into usable tools and workflows Confidence working directly with users and business stakeholders to gather context, challenge assumptions, and explain technical trade-offs Ability to investigate problems independently and collaborate effectively with Backend Engineering High ownership, structured thinking, and comfort working with evolving requirements Practical judgement around AI: you can identify where it adds value and evaluate the quality of its output Fluency in English and Russian Bonus Points Experience with video, streaming, creator, affiliate, marketplace, or platform products Hiring Process HR screening (30 min) Team Interview (1 hour) Case Task (2-4 hours) CEO Interview (45 min) 💼 Explore our hiring process What We Offer Please note: fully remote contract role. B2B only - work as an independent contractor with your own legal entity. The chance to be part of a pioneering team in a rapidly evolving industry Direct impact on the future of immersive media Flexible working hours and remote-first culture A team that values initiative, clarity, and collaboration Access to all tools and tech you need Unlimited DeoVR Premium A work environment where ideas matter and people are treated with respect Stay Connected Join our Facebook community and follow updates as we advance interactive VR experiences through cutting-edge technology. Join us and step into a role where legal expertise meets innovation.

Location: Vaughan, Canada Workplace: remote Are you looking for a company where YOUR VOICE is heard? Where you can MAKE A DIFFERENCE? Do you THRIVE in a FAST-PACED work environment? Do you wake every morning EXCITED to work with GREAT PEOPLE and create SUCCESS TOGETHER? Then Intermedia is the place for you. Intermedia has established itself as a leading provider of cloud communications and collaboration tech that allows companies to connect better. We have a strong track record of growth, profitability, and creating an environment where everyone matters. Everyone. While we are fast-paced and admittedly a bit intense, we promise that you won’t be bored. You will find Intermedia is a place where you can indulge your passion for creating and supporting great cloud technology. What’s more, we always look to promote from within and have many employees who have been with us 10, 15, and 20+ years! Culture at Intermedia is built on teamwork and transparency. We hold each other accountable and always have each other’s back! Are you ready to make your mark? About the Role: The Implementation Engineer (Integrations) designs, builds, and supports IVR and API integrations for enterprise contact center environments. This role works directly with customers to gather requirements, design call flows, and connect internal systems with third-party services such as CRM platforms, billing systems, and payment services. The position combines hands-on integration development, solution consulting, and troubleshooting to deliver reliable, scalable solutions and successful customer deployments. What You Will Be Doing: Analyze customer contact center configurations, data extracts, and call flows to plan for the API integration Gather and document customer requirements for API integrations, evaluate system readiness, and define scope, deliverables, and API integration timelines. Build integrations between Intermedia contact center platform and third-party services using APIs, including CRM, billing, and payment platforms. Read API documentation and design authentication, requests, data mappings, retries, and error handling; validate authentication and connectivity using tools such as Postman. Create and maintain backend services, webhooks, middleware, and automation workflows that support customer implementations and ongoing data exchange. Transform and synchronize data across systems, including mapping and validating customer records between CRM platforms, billing systems, and internal databases. Design and implement API-driven IVR call flows, including data collection, menu design, conditional routing, and payment integrations; guide customers in creating efficient, user-friendly experiences. Work with product, backend engineering, security, support, and vendor teams to clarify requirements, resolve technical constraints, and implement integrations with cloud services such as Azure or AWS. Write and maintain automated tests, integration documentation, and operational runbooks covering configuration, deployment, monitoring, and recovery. Troubleshoot integration failures, latency, and data quality; lead troubleshooting of production incidents and complex issues across APIs, IVR platforms, CRM systems; Apply security practices including OAuth 2.0, secrets management, and encryption. Lead technical design discussions and provide professional services and consulting for large and strategic customer accounts throughout implementation. Provide post implementation escalation support to ensure stability and successful adoption. What You Will Bring to the Role: Bachelor’s degree in Computer Science, Information Technology, Telecommunications, or a related field with 5+ years of experience in contact center technology, systems integration, or technical implementation. Equivalent combinations of education and experience may be considered. Hands-on experience with enterprise contact center technologies, including IVR call flows, routing rules, callbacks, external data tables, working hours configurations, and reporting or monitoring tools. Strong understanding of REST APIs, JSON, webhooks, and OAuth 2.0, with practical experience using API documentation and tools such as Postman to build, validate, and troubleshoot integrations. Familiarity with GraphQL APIs and API debugging using Swagger or developer portals. Hands-on scripting or development experience in a backend language such as Python, JavaScript, Java, or C#, including working with variables, data types, string manipulation, and error handling. Working knowledge of SQL, data mapping, and data transformation to support reliable synchronization and validation across systems. Experience integrating CRM platforms such as Salesforce or Zendesk with external systems and evaluating their API capabilities and technical constraints. Experience with cloud services, logging, and monitoring, with strong troubleshooting skills across distributed systems, APIs, and IVR environments. Understanding of API rate limits, retries, versioning, permissions, secrets management, and encryption, and the ability to apply these practices to customer integrations. Ability to analyze customer environments and translate requirements into scalable solutions that improve contact center efficiency and customer experience. Proven ability to manage deliverables, timelines, tests, and technical documentation, and to use ticketing or CRM systems to track implementation tasks, communications, and configuration updates. Excellent written, verbal, and customer-facing communication skills, including the ability to explain technical concepts clearly and lead design discussions. Ability to work independently and collaborate with Sales, Product, Development, Security, Support, and external vendors while continuously developing technical expertise. Ability to work effectively in a remote environment, including maintaining a reliable home office setup with internet connectivity, a workstation, and required software. Diversity Inclusion and Equal Opportunity We hire, promote, and compensate employees based on their ability to perform their job responsibilities, without regard to race, color, creed, religion, sex, gender, marital status, national origin, ancestry, age, citizenship, physical or mental disability, sexual orientation, or any other basis protected by applicable law (collectively referred to in our Code of Conduct as “Protected Classes”). We do not tolerate employment discrimination in the workplace, and we are committed to making reasonable accommodations for identified disabilities or other limitations as required by all applicable laws. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Location: United States Workplace: remote Are you looking for a company where YOUR VOICE is heard? Where you can MAKE A DIFFERENCE? Do you THRIVE in a FAST-PACED work environment? Do you wake every morning EXCITED to work with GREAT PEOPLE and create SUCCESS TOGETHER? Then Intermedia is the place for you. Intermedia has established itself as a leading provider of cloud communications and collaboration tech that allows companies to connect better. We have a strong track record of growth, profitability, and creating an environment where everyone matters. Everyone. While we are fast-paced and admittedly a bit intense, we promise that you won’t be bored. You will find Intermedia is a place where you can indulge your passion for creating and supporting great cloud technology. What’s more, we always look to promote from within and have many employees who have been with us 10, 15, and 20+ years! Culture at Intermedia is built on teamwork and transparency. We hold each other accountable and always have each other’s back! Are you ready to make your mark? About the Role: The Implementation Engineer (Integrations) designs, builds, and supports IVR and API integrations for enterprise contact center environments. This role works directly with customers to gather requirements, design call flows, and connect internal systems with third-party services such as CRM platforms, billing systems, and payment services. The position combines hands-on integration development, solution consulting, and troubleshooting to deliver reliable, scalable solutions and successful customer deployments. What You Will Be Doing: Analyze customer contact center configurations, data extracts, and call flows to plan for the API integration Gather and document customer requirements for API integrations, evaluate system readiness, and define scope, deliverables, and API integration timelines. Build integrations between Intermedia contact center platform and third-party services using APIs, including CRM, billing, and payment platforms. Read API documentation and design authentication, requests, data mappings, retries, and error handling; validate authentication and connectivity using tools such as Postman. Create and maintain backend services, webhooks, middleware, and automation workflows that support customer implementations and ongoing data exchange. Transform and synchronize data across systems, including mapping and validating customer records between CRM platforms, billing systems, and internal databases. Design and implement API-driven IVR call flows, including data collection, menu design, conditional routing, and payment integrations; guide customers in creating efficient, user-friendly experiences. Work with product, backend engineering, security, support, and vendor teams to clarify requirements, resolve technical constraints, and implement integrations with cloud services such as Azure or AWS. Write and maintain automated tests, integration documentation, and operational runbooks covering configuration, deployment, monitoring, and recovery. Troubleshoot integration failures, latency, and data quality; lead troubleshooting of production incidents and complex issues across APIs, IVR platforms, CRM systems; Apply security practices including OAuth 2.0, secrets management, and encryption. Lead technical design discussions and provide professional services and consulting for large and strategic customer accounts throughout implementation. Provide post implementation escalation support to ensure stability and successful adoption. What You Will Bring to the Role: Bachelor’s degree in Computer Science, Information Technology, Telecommunications, or a related field with 5+ years of experience in contact center technology, systems integration, or technical implementation. Equivalent combinations of education and experience may be considered. Hands-on experience with enterprise contact center technologies, including IVR call flows, routing rules, callbacks, external data tables, working hours configurations, and reporting or monitoring tools. Strong understanding of REST APIs, JSON, webhooks, and OAuth 2.0, with practical experience using API documentation and tools such as Postman to build, validate, and troubleshoot integrations. Familiarity with GraphQL APIs and API debugging using Swagger or developer portals. Hands-on scripting or development experience in a backend language such as Python, JavaScript, Java, or C#, including working with variables, data types, string manipulation, and error handling. Working knowledge of SQL, data mapping, and data transformation to support reliable synchronization and validation across systems. Experience integrating CRM platforms such as Salesforce or Zendesk with external systems and evaluating their API capabilities and technical constraints. Experience with cloud services, logging, and monitoring, with strong troubleshooting skills across distributed systems, APIs, and IVR environments. Understanding of API rate limits, retries, versioning, permissions, secrets management, and encryption, and the ability to apply these practices to customer integrations. Ability to analyze customer environments and translate requirements into scalable solutions that improve contact center efficiency and customer experience. Proven ability to manage deliverables, timelines, tests, and technical documentation, and to use ticketing or CRM systems to track implementation tasks, communications, and configuration updates. Excellent written, verbal, and customer-facing communication skills, including the ability to explain technical concepts clearly and lead design discussions. Ability to work independently and collaborate with Sales, Product, Development, Security, Support, and external vendors while continuously developing technical expertise. Ability to work effectively in a remote environment, including maintaining a reliable home office setup with internet connectivity, a workstation, and required software. Diversity Inclusion and Equal Opportunity We hire, promote, and compensate employees based on their ability to perform their job responsibilities, without regard to race, color, creed, religion, sex, gender, marital status, national origin, ancestry, age, citizenship, physical or mental disability, sexual orientation, or any other basis protected by applicable law (collectively referred to in our Code of Conduct as “Protected Classes”). We do not tolerate employment discrimination in the workplace, and we are committed to making reasonable accommodations for identified disabilities or other limitations as required by all applicable laws. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Location: Portugal Workplace: remote Are you passionate about using the power of communication data to build intelligent, intuitive AI experiences? Do you thrive on owning a product area – from discovering what customers need to shipping it with your engineering team? If so, Intermedia’s AI & Data Product Management team is seeking a hands-on Product Manager to help deliver the next generation of AI-powered capabilities across our UCaaS and CCaaS products. This is a role for a product manager ready to own a slice of the roadmap end to end – more ownership and customer-facing discovery than a product owner, working shoulder-to-shoulder with engineering and UX to turn ideas into products customers love. About Intermedia Intermedia is a leading provider of cloud-based communication and collaboration solutions, empowering over 140,000 businesses and 7,500 partners with UCaaS, CCaaS, and productivity tools. We’re committed to delivering secure, easy-to-use solutions, backed by industry-leading reliability and support. Our AI & Data team is at the forefront of innovation, leveraging the wealth of communication data generated across our platforms to develop intelligent tools and insights that drive customer success. We believe in a collaborative, hands-on approach where every team member contributes their unique skills to create products that truly make a difference. We are a roll-up-your-sleeves-and-get-into-the-details product management team where, irrespective of your position, you can contribute your skills and energies to help improve our products. About the Role As a Product Manager on the AI & Data team, you will own a product area within our AI portfolio, defining what to build and why, and partnering directly with engineering to deliver it. You will run discovery with customers and stakeholders, shape a prioritized roadmap for your area, write clear requirements, and see features through from concept to launch. You will use metrics and customer feedback to understand how your product is performing and where to invest next. Your focus will be on AI-driven experiences, requiring strong analytical skills, a good sense for UI/UX and usability, and excellent communication. You will work with globally distributed teams, making effective asynchronous communication essential. This is a mid-level role ideal for someone who combines ownership and product judgment with strong, detail-oriented delivery. You’ll help shape the strategy and roadmap for your product area and own how it gets delivered — the broader, longer-term vision for the area is set in partnership with the Senior Product Manager or team lead. Key Responsibilities Own the roadmap for a defined product area, balancing customer needs, business goals, and technical realities. Run discovery with customers, stakeholders, and data to identify problems worth solving and validate solutions. Translate opportunities into clear requirements, user stories, and acceptance criteria, and partner with engineering to deliver them. Work closely with UI/UX to shape intuitive, high-quality experiences, coordinating prototypes and design assets. Prioritize and maintain a healthy backlog and participate actively in Agile ceremonies. Track product performance through metrics, customer satisfaction, and usability feedback, and act on what you learn. Stay aware of competitive and market dynamics in your area and feed that insight into planning. Communicate progress, risks, and timelines to stakeholders, setting and managing expectations proactively. Collaborate with other product managers to align priorities and ensure a coherent product experience. Requirements Strong product sense for AI-powered features — you can reason about what LLMs and AI agents can and can’t do, and translate that into sound product decisions. 3+ years of product management experience delivering software products, ideally in a SaaS environment. Demonstrated ownership of a product area or feature set from discovery through launch. Strong analytical mindset, comfortable using data and customer feedback to make decisions. Good sense for UI/UX and usability, with the ability to partner effectively with design. Excellent communication and presentation skills, able to align engineering, design, and stakeholders. Experience working with Scrum or other Agile frameworks alongside engineering teams. Strong technical aptitude and problem-solving ability. Bachelor’s degree in a relevant field, or equivalent professional experience. Upper-intermediate or higher English proficiency, with strong asynchronous communication skills. Would Be a Plus Experience building customer-facing AI or data-driven products. Familiarity with product analytics and experimentation (A/B testing, funnel and usage analysis). Experience with UCaaS/CCaaS or other SaaS products. Familiarity with modern AI concepts, LLMs, or machine learning workflows. Why Join Us You will own meaningful parts of an AI product portfolio that helps customers work smarter and more efficiently, with the autonomy to shape what gets built and the support of a passionate, cross-functional team. If you’re ready to own, build, and help shape the next wave of AI-driven communication, we’d love to hear from you.

Location: Portugal Workplace: remote Are you passionate about using the power of communication data to build intelligent, intuitive AI experiences? Do you thrive on owning a product area – from discovering what customers need to shipping it with your engineering team? If so, Intermedia’s AI & Data Product Management team is seeking a hands-on Product Manager to help deliver the next generation of AI-powered capabilities across our UCaaS and CCaaS products. This is a role for a product manager ready to own a slice of the roadmap end to end – more ownership and customer-facing discovery than a product owner, working shoulder-to-shoulder with engineering and UX to turn ideas into products customers love. About Intermedia Intermedia is a leading provider of cloud-based communication and collaboration solutions, empowering over 140,000 businesses and 7,500 partners with UCaaS, CCaaS, and productivity tools. We’re committed to delivering secure, easy-to-use solutions, backed by industry-leading reliability and support. Our AI & Data team is at the forefront of innovation, leveraging the wealth of communication data generated across our platforms to develop intelligent tools and insights that drive customer success. We believe in a collaborative, hands-on approach where every team member contributes their unique skills to create products that truly make a difference. We are a roll-up-your-sleeves-and-get-into-the-details product management team where, irrespective of your position, you can contribute your skills and energies to help improve our products. About the Role As a Product Manager on the AI & Data team, you will own a product area within our AI portfolio, defining what to build and why, and partnering directly with engineering to deliver it. You will run discovery with customers and stakeholders, shape a prioritized roadmap for your area, write clear requirements, and see features through from concept to launch. You will use metrics and customer feedback to understand how your product is performing and where to invest next. Your focus will be on AI-driven experiences, requiring strong analytical skills, a good sense for UI/UX and usability, and excellent communication. You will work with globally distributed teams, making effective asynchronous communication essential. This is a mid-level role ideal for someone who combines ownership and product judgment with strong, detail-oriented delivery. You’ll help shape the strategy and roadmap for your product area and own how it gets delivered — the broader, longer-term vision for the area is set in partnership with the Senior Product Manager or team lead. Key Responsibilities Responsibilities •        Own the roadmap for a defined product area, balancing customer needs, business goals, and technical realities. •        Run discovery with customers, stakeholders, and data to identify problems worth solving and validate solutions. •        Translate opportunities into clear requirements, user stories, and acceptance criteria, and partner with engineering to deliver them. •        Work closely with UI/UX to shape intuitive, high-quality experiences, coordinating prototypes and design assets. •        Prioritize and maintain a healthy backlog and participate actively in Agile ceremonies. •        Track product performance through metrics, customer satisfaction, and usability feedback, and act on what you learn. •        Stay aware of competitive and market dynamics in your area and feed that insight into planning. •        Communicate progress, risks, and timelines to stakeholders, setting and managing expectations proactively. •        Collaborate with other product managers to align priorities and ensure a coherent product experience. Requirements •        Strong product sense for AI-powered features — you can reason about what LLMs and AI agents can and can’t do, and translate that into sound product decisions. •        3+ years of product management experience delivering software products, ideally in a SaaS environment. •        Demonstrated ownership of a product area or feature set from discovery through launch. •        Strong analytical mindset, comfortable using data and customer feedback to make decisions. •        Good sense for UI/UX and usability, with the ability to partner effectively with design. •        Excellent communication and presentation skills, able to align engineering, design, and stakeholders. •        Experience working with Scrum or other Agile frameworks alongside engineering teams. •        Strong technical aptitude and problem-solving ability. •        Bachelor’s degree in a relevant field, or equivalent professional experience. •        Upper-intermediate or higher English proficiency, with strong asynchronous communication skills. Would Be a Plus •        Experience building customer-facing AI or data-driven products. •        Familiarity with product analytics and experimentation (A/B testing, funnel and usage analysis). •        Experience with UCaaS/CCaaS or other SaaS products. •        Familiarity with modern AI concepts, LLMs, or machine learning workflows. Why Join Us You will own meaningful parts of an AI product portfolio that helps customers work smarter and more efficiently, with the autonomy to shape what gets built and the support of a passionate, cross-functional team. If you’re ready to own, build, and help shape the next wave of AI-driven communication, we’d love to hear from you.

Location: Portugal Workplace: remote About the Role We are looking for a Proudct Designer– Integrations  Flow Studio to help define the next generation of intelligent experiences across Intermedia's products. In this role, you will design experiences that make artificial intelligence useful, intuitive, trustworthy, and approachable for business users. You will work at the intersection of UX strategy, interaction design, generative AI, conversational experiences, and enterprise software , turning sophisticated AI capabilities into simple experiences that solve real customer problems. You will partner closely with Product Managers, Product Owners, AI/ML teams, Engineering, Research, and other designers throughout the complete product lifecycle—from customer and market research through concepts, prototyping, development, launch, and post-launch analysis. This is not simply a role for adding AI features to existing interfaces. You will help define how users interact with AI across our products , including copilots, assistants, conversational interfaces, recommendations, summarization, intelligent automation, and agentic experiences. Key Responsibilities Responsibilities AI Experience Design Design intuitive user experiences for AI-powered capabilities across web, desktop, mobile, and administrative interfaces. Explore new interaction models for generative AI, including conversational interfaces, copilots, AI assistants, intelligent recommendations, content generation, summarization, and AI-driven workflow automation. Design experiences for emerging agentic AI capabilities where AI systems can reason, recommend actions, execute tasks, and coordinate multi-step workflows on behalf of users. Translate complex AI functionality into simple, understandable interactions appropriate for everyday business users. Determine when AI should proactively assist users versus when users should explicitly initiate or control AI functionality. Design effective patterns for prompts, suggestions, generated content, AI actions, confirmations, feedback, and human intervention. Create experiences that communicate what an AI system is doing, why it made a recommendation, and what actions it has taken or intends to take. UX & Product Design Own design initiatives from discovery and concept development through prototyping, implementation, launch, and post-launch optimization. Conduct user research, usability studies, interviews, competitive analysis, and workflow analysis to understand customer needs and behaviors. Translate customer problems and product requirements into user journeys, workflows, wireframes, prototypes, and high-fidelity designs. Develop and validate design hypotheses through rapid prototyping and user testing. Identify opportunities to simplify complex workflows through thoughtful UX and intelligent automation. Use qualitative and quantitative data to evaluate experiences and recommend improvements. Work closely with Product Management to ensure designs address meaningful customer problems and measurable business outcomes. AI Trust & Responsible Design Design AI experiences that establish appropriate levels of trust, transparency, and user control . Clearly distinguish AI-generated information and actions where appropriate. Design graceful experiences for uncertainty, incomplete information, errors, hallucinations, and situations where the AI cannot confidently complete a request. Create effective confirmation, undo, escalation, and human-in-the-loop patterns for AI-driven actions. Design feedback mechanisms that allow users to evaluate, correct, or improve AI-generated results. Partner with Product, Engineering, Security, Privacy, and Legal teams to incorporate responsible AI principles into the user experience. Help establish UX guidelines for consistent and responsible use of AI throughout Intermedia products. Design Systems Contribute to and evolve Intermedia's design system to support AI-powered experiences. Define reusable patterns and components for conversational interfaces, AI recommendations, generated content, AI actions, status indicators, feedback mechanisms, and agentic workflows. Ensure new AI capabilities integrate naturally with established product experiences rather than feeling like disconnected features. Maintain consistency across products while identifying where emerging AI interactions require new design paradigms. Partner with designers and developers to ensure design-system components are practical, scalable, accessible, and consistently implemented. Collaboration & Leadership Partner closely with Product Managers, Product Owners, AI/ML engineers, software engineers, architects, researchers, and other designers. Facilitate design workshops and collaborative discovery sessions to explore customer problems and AI opportunities. Clearly communicate design rationale, research findings, user needs, and tradeoffs to technical and non-technical stakeholders. Challenge assumptions and advocate for customer-centered solutions when technology or implementation considerations begin driving the experience. Provide design leadership and mentorship to other designers and help raise the overall quality of UX across the organization. Collaborate effectively across multiple teams and product areas to create coherent end-to-end customer experiences. Stay current with emerging AI technologies, interaction patterns, and design practices and translate relevant developments into practical product experiences. Our Expectations 5+ years of professional UI/UX, Product Design, or Interaction Design experience, ideally designing complex SaaS or enterprise software. A strong portfolio demonstrating end-to-end product design, complex workflows, interaction design, and thoughtful problem solving. Excellent knowledge of usability, UX/UI, interaction design, information architecture, accessibility, and human factors principles. Strong ability to analyze complex requirements and turn them into simple, elegant solutions. Experience conducting or participating in user research and usability testing. Strong proficiency with Figma , prototyping tools, and modern design-system practices. Experience working closely with Product Management and Engineering in an Agile software-development environment. Strong communication, presentation, collaboration, and stakeholder-management skills. Ability to work effectively with ambiguity and rapidly evolving requirements. Strong attention to detail while maintaining an understanding of the broader product and customer experience. AI Experience & Knowledge We don't expect you to be an AI engineer, but we do expect curiosity and practical fluency with modern AI technologies. The ideal candidate has: Experience designing products or features powered by generative AI, machine learning, or intelligent automation. Understanding of large language models (LLMs) and the opportunities and limitations they introduce into product experiences. Familiarity with conversational UX and natural-language interfaces. Understanding of concepts such as prompts, context, AI-generated content, confidence and uncertainty, hallucinations, and AI feedback loops. Familiarity with AI agents and emerging patterns for designing systems that can perform multi-step actions on behalf of users. Experience thinking through trust, transparency, explainability, privacy, and user control in AI experiences. A strong interest in experimenting with new AI tools and interaction models. Advantages Experience designing enterprise communications, collaboration, contact center, productivity, or workflow-automation products. Experience designing AI copilots, assistants, conversational interfaces, or agentic workflows. Experience developing or contributing to large-scale design systems. Experience with voice and multimodal interfaces. Understanding of accessibility standards and inclusive design. Familiarity with HTML/CSS and the technical constraints of modern web applications. Experience using AI-assisted design and prototyping tools. Experience working with globally distributed Product and Engineering teams. What Success Looks Like As a Senior UI/UX Designer – AI, you will help ensure that AI at Intermedia is not simply powerful technology—it is a valuable and trusted customer experience . Success means: Customers immediately understand how AI can help them. Complex AI capabilities feel simple and natural to use. Users remain informed and in control when AI recommends or takes actions. AI features integrate seamlessly into existing customer workflows. Common AI interaction patterns become consistent across Intermedia products. Research and customer feedback meaningfully influence AI product decisions. Product and Engineering teams view Design as a strategic partner in determining what AI experiences should be built , not simply how they should look. Ultimately, you will help establish the design language and interaction principles that shape how customers experience AI across Intermedia's portfolio.

Location: United Kingdom Workplace: remote About Intermedia Are you looking for a company where YOUR VOICE is heard? Where can you MAKE A DIFFERENCE? Do you THRIVE in a FAST-PACED work environment? Do you wake every morning EXCITED to work with GREAT PEOPLE and create SUCCESS TOGETHER? Then Intermedia is the place for you. Intermedia has established itself as a leading provider of cloud communications and collaboration tech that allows companies to connect better. We have a strong track record of growth, profitability, and creating an environment where everyone matters. Everyone. While we are fast-paced and admittedly a bit intense, we promise that you won’t be bored. You will find Intermedia is a place where you can indulge your passion for creating and supporting great cloud technology. What’s more, we always look to promote from within and have many employees who have been with us 10, 15, and 20+ years! Culture at Intermedia is built on teamwork and transparency. We hold each other accountable and always have each other’s back! While primarily remote , this role requires occasional visits to the Bristol office or London. About the Role Intermedia is looking for a Data Scientist to join our AI Data Science team. In this role, you will develop and apply advanced machine learning, generative AI, and statistical techniques to improve the intelligence, effectiveness, and reliability of Intermedia's digital agents. You will work on challenging problems involving large language models, retrieval, agent behavior, experimentation, evaluation, and optimization to help create digital agents that can understand customer needs, access relevant knowledge, and successfully complete complex tasks. You will work closely with AI/ML engineers, software engineers, product managers, and other data scientists to take ideas from experimentation through production. You will have significant ownership of data science solutions while helping establish strong practices for measuring and continuously improving the quality of our AI-powered experiences. What You Will Be Doing Machine Learning & Agent Intelligence Develop, evaluate, and improve machine learning and generative AI solutions that power Intermedia's Digital Agent Platform. Apply large language models (LLMs), natural language processing, retrieval, and other advanced AI techniques to improve agent understanding and performance. Develop approaches that improve agent reasoning, tool selection, knowledge retrieval, context management, personalization, and task completion. Experiment with model, prompt, retrieval, and agent configuration strategies to identify approaches that deliver the best customer and business outcomes. Evaluate commercial and open-source models and recommend appropriate approaches based on quality, latency, scalability, and cost. Generative AI & RAG Design, develop, and optimize Retrieval-Augmented Generation (RAG) solutions that ground digital agents in relevant enterprise and customer information. Develop and evaluate embeddings, retrieval strategies, ranking approaches, semantic search, and other knowledge-retrieval techniques. Build and refine end-to-end pipelines that combine LLMs with retrieval systems, enterprise knowledge sources, and agent workflows. Develop approaches to improve the relevance, accuracy, and consistency of AI-generated responses. Identify and mitigate issues such as hallucinations, poor retrieval, inappropriate responses, and other failure modes in generative AI applications. Evaluation & Experimentation Develop rigorous evaluation frameworks for measuring digital agent quality, including accuracy, relevance, task completion, reliability, safety, and customer experience. Design offline and online experiments to compare models, prompts, retrieval strategies, agent configurations, and other AI approaches. Apply statistical analysis, hypothesis testing, segmentation, and other quantitative methods to evaluate AI performance and identify opportunities for improvement. Define appropriate metrics and benchmarks that connect model and agent performance to customer and business outcomes. Analyze production behavior and feedback to identify patterns, failure modes, and opportunities to continuously improve digital agents. Ensure data and model quality through comprehensive testing, validation, and performance evaluation. Data & Solution Development Gather, preprocess, analyze, and model large volumes of structured and unstructured data from multiple sources. Use Python, SQL, Spark, and other relevant technologies to build scalable analytical and machine learning solutions. Develop features, datasets, and analytical approaches that support model development, experimentation, and evaluation. Partner with data and engineering teams to build and maintain reliable pipelines for model training, evaluation, and production use. Contribute to scalable ML/AI pipelines that support experimentation, deployment, monitoring, and continuous improvement. Ensure solutions are reproducible, maintainable, and designed to operate effectively at production scale. Collaboration Partner with Product, AI/ML Engineering, Software Engineering, and other Data Science team members to translate customer and business problems into effective AI solutions. Communicate analytical findings, model performance, tradeoffs, and recommendations clearly to technical and non-technical stakeholders. Participate in technical and design reviews and help establish strong practices for AI experimentation, evaluation, and model development. Mentor and support less experienced data scientists and contribute to knowledge sharing across the team. What You Will Bring to the Role Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Machine Learning, Analytics, or a related quantitative field; Master's degree preferred. 4+ years of professional experience in data science, machine learning, applied AI, or a related analytical field. Strong experience developing and applying supervised and unsupervised machine learning models to real-world problems. Hands-on experience with generative AI, large language models, NLP, or other modern AI technologies. Strong programming skills in Python and experience with SQL and large-scale data processing technologies. Experience with modern machine learning frameworks such as PyTorch, TensorFlow, scikit-learn, or equivalent technologies. Strong understanding of statistical analysis, experimentation, hypothesis testing, model evaluation, and performance measurement. Experience working with large volumes of structured and unstructured data. Demonstrated ability to independently frame ambiguous problems, develop analytical approaches, evaluate alternatives, and deliver actionable solutions. Experience taking machine learning or AI solutions beyond experimentation and contributing to their deployment and operation in production environments. Understanding of model quality, data quality, bias, reliability, and other considerations associated with production AI systems. Strong problem-solving and analytical skills with the ability to connect technical results to customer and business outcomes. Strong written and verbal communication skills with the ability to explain complex analytical and AI concepts to technical and non-technical audiences. Ability to collaborate effectively across Data Science, AI/ML Engineering, Software Engineering, Product, and business teams. Diversity, Inclusion, and Equal Opportunity We hire, promote, and compensate employees based on their ability to perform their job responsibilities, without regard to race, color, creed, religion, sex, gender, marital status, national origin, ancestry, age, citizenship, physical or mental disability, sexual orientation, or any other basis protected by applicable law (collectively referred to in our Code of Conduct as “Protected Classes”). We do not tolerate employment discrimination in the workplace, and we are committed to making reasonable accommodations for identified disabilities or other limitations as required by all applicable laws. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Location: United Kingdom Workplace: remote About Intermedia Are you looking for a company where YOUR VOICE is heard? Where can you MAKE A DIFFERENCE? Do you THRIVE in a FAST-PACED work environment? Do you wake every morning EXCITED to work with GREAT PEOPLE and create SUCCESS TOGETHER? Then Intermedia is the place for you. Intermedia has established itself as a leading provider of cloud communications and collaboration tech that allows companies to connect better. We have a strong track record of growth, profitability, and creating an environment where everyone matters. Everyone. While we are fast-paced and admittedly a bit intense, we promise that you won’t be bored. You will find Intermedia is a place where you can indulge your passion for creating and supporting great cloud technology. What’s more, we always look to promote from within and have many employees who have been with us 10, 15, and 20+ years! Culture at Intermedia is built on teamwork and transparency. We hold each other accountable and always have each other’s back! While primarily remote , this role requires occasional visits to the Bristol office or London. Are you ready to make your mark? About the Role In this role, you will solve challenging frontend engineering problems involving real-time conversations, dynamic interactions and embedded experiences. As a senior technical contributor, you will influence frontend architecture and technical direction, lead complex initiatives from design through production, and help establish engineering standards and patterns that can scale across Intermedia's digital channels. What You Will Be Doing • Design, develop, test, and maintain high-quality web applications and frontend capabilities that power interactions. • Develop reusable web components and frontend capabilities that allow digital experiences to be embedded across Intermedia products and customer-facing websites. • Build responsive experiences for real-time including streaming responses, typing and processing states, long-running operations, errors, and interruptions. • Develop user experiences that clearly communicate actions, status, results, limitations, and requests for additional information. • Build interaction patterns that support rich conversational experiences beyond text, including structured content, forms, actions, links, files, and other interactive elements. • Develop experiences that support effective transitions and handoffs. • Partner with ML and backend engineers to define APIs, events, data contracts, and interaction patterns required to support digital experiences. • Collaborate closely with Product and UX to translate customer needs and design into intuitive product experiences. • Help define frontend architecture and reusable patterns digital experiences across web channels. • Design solutions that support configuration and customization of digital experiences while maintaining consistent engineering and UX standards. • Optimize applications for performance, responsiveness, scalability, and reliability across browsers, devices, network conditions, and customer environments. • Ensure digital experiences meet appropriate accessibility and inclusive design standards. • Design frontend applications with appropriate consideration for authentication, authorization, privacy, security, and protection of sensitive information. • Build appropriate analytics, telemetry, monitoring, logging, and observability into digital experiences. • Use product and operational data to identify performance issues and opportunities to improve the user experience. • Lead technical design discussions and provide guidance on complex frontend engineering decisions. • Conduct code and design reviews and help establish strong standards for frontend architecture, code quality, testing, performance, and maintainability. • Troubleshoot complex production issues spanning frontend applications, APIs, real-time interactions, and enabled experiences. • Mentor and coach engineers and contribute to raising frontend engineering capabilities across the team. • Lead complex frontend initiatives from concept and technical design through implementation, deployment, and continuous improvement. • Stay current with emerging technologies and engineering approaches related to frontend development and conversational interfaces. What You Will Bring to the Role • Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience. • 8+ years of professional software engineering experience, with significant experience developing sophisticated frontend applications. • Deep proficiency in JavaScript and/or TypeScript and modern frontend frameworks such as React or Angular. • Strong knowledge of HTML, CSS, responsive design, browser technologies, and modern web application architecture. • Demonstrated experience designing and building complex, interactive web applications used in production environments. • Strong understanding of frontend architecture, component design, state management, application performance, and maintainability. • Experience designing reusable frontend components, libraries, or application frameworks. • Experience integrating frontend applications with RESTful APIs, asynchronous services, and distributed backend systems. • Experience building real-time, asynchronous, or event-driven user experiences. • Strong understanding of automated frontend testing and modern software engineering practices. • Experience designing applications for performance, scalability, reliability, and production support. • Strong understanding of web accessibility, responsive design, browser compatibility, and frontend security. • Experience with CI/CD, source control, code reviews, observability, and modern software delivery practices. • Demonstrated ability to independently lead complex technical initiatives from design through production. • Strong problem-solving skills and the ability to navigate ambiguous and evolving technical requirements. • Experience providing technical guidance, code review, or mentorship to other engineers. • Strong communication and collaboration skills with the ability to influence technical decisions and work effectively across Product, UX, frontend, backend, ML, and platform teams. • Working understanding of Agile development methodologies and frameworks. Diversity, Inclusion, and Equal Opportunity We hire, promote, and compensate employees based on their ability to perform their job responsibilities, without regard to race, color, creed, religion, sex, gender, marital status, national origin, ancestry, age, citizenship, physical or mental disability, sexual orientation, or any other basis protected by applicable law (collectively referred to in our Code of Conduct as “Protected Classes”). We do not tolerate employment discrimination in the workplace, and we are committed to making reasonable accommodations for identified disabilities or other limitations as required by all applicable laws. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Location: Portugal Workplace: remote Senior Product Owner – AI & Data Are you passionate about using the power of communication data to create intelligent, intuitive AI experiences? Do you thrive on turning ambitious product concepts into clear, deliverable requirements and then driving multiple teams to ship them? If so, Intermedia’s AI & Data Product Management team is seeking an execution-driven Senior Product Owner to help deliver the next generation of AI-powered capabilities across our UCaaS and CCaaS products. This is a senior execution role for someone who has outgrown owning a single backlog and is ready to lead delivery across several teams, coordinate releases end to end, and set the standard for how we turn strategy into shipped product. About Intermedia Intermedia is a leading provider of cloud-based communication and collaboration solutions, empowering over 140,000 businesses and 7,500 partners with UCaaS, CCaaS, and productivity tools. We’re committed to delivering secure, easy-to-use solutions, backed by industry-leading reliability and support. Our AI & Data team is at the forefront of innovation, leveraging the wealth of communication data generated across our platforms to develop intelligent tools and insights that drive customer success. We believe in a collaborative, hands-on approach where every team member contributes their unique skills to create products that truly make a difference. We are a roll-up-your-sleeves-and-get-into-the-details product management team where, irrespective of your position, you can contribute your skills and energies to help improve our products. About the Role As a Senior Product Owner on the AI & Data team, you will own day-to-day execution across multiple development teams, translating product initiatives into detailed, actionable requirements and ensuring they are delivered with quality and predictability. You will partner closely with product managers, engineering, UX, QA, and project management to keep complex, interdependent work moving, and you will coordinate releases from planning through launch. Your focus will be on AI-driven experiences, requiring strong analytical skills, exceptional communication, and the ability to break down complex ideas into clear, structured stories. You will work with globally distributed teams, making effective asynchronous communication essential. As a senior member of the team you will also help set execution standards and mentor other product owners. Responsibilities •        Serve as the Senior Product Owner across multiple development teams, driving day-to-day execution and removing blockers. •        Prioritize and maintain clear, structured backlogs aligned with product goals and stakeholder needs. •        Lead Agile ceremonies including sprint planning, refinement, daily stand-ups, demos, and retrospectives. •        Collaborate with product managers and cross-functional partners to understand business needs and convert them into explicit, detailed requirements. •        Develop user stories, acceptance criteria, use cases, and workflow diagrams/UML models for development teams. •        Work with UI/UX teams to coordinate prototypes and design assets. •        Contribute to roadmap planning with execution-level insight on capacity, sequencing, feasibility, and risk. •        Plan and coordinate releases across engineering, QA, operations, and customer-facing teams, communicating progress, risks, and timelines to stakeholders. •        Lead cross-team efforts spanning multiple Intermedia products or systems, aligning dependencies and expectations. •        Mentor and support other product owners, helping raise the quality and consistency of execution across the team. Requirements •        Comfortable driving delivery of AI features — you don’t need to build models, but you can turn AI capabilities into clear, buildable stories with engineering. •        4+ years of experience as a Product Owner, Project Manager, Business Analyst, or similar role in software development, including experience coordinating delivery across multiple teams. •        Excellent organizational skills with the ability to manage multiple priorities, dependencies, and deadlines. •        Strong analytical mindset, capable of processing complex information and producing clear, structured requirements. •        Excellent presentation and communication skills, with the ability to facilitate productive discussions and align diverse teams. •        Strong technical aptitude and problem-solving ability. •        Deep experience working with Scrum or other Agile frameworks. •        Proven release and delivery coordination experience across cross-functional teams. •        Bachelor’s degree in Computer Science or a related field, or equivalent professional experience. •        Upper-intermediate or higher English proficiency, with strong asynchronous communication skills. Would Be a Plus •        Experience coordinating delivery across multiple Scrum teams at once. •        Product Ownership or Agile certifications (CSPO, PSPO, SAFe, PMP). •        Experience owning cross-product release trains or complex, interdependent releases. •        Technical background or prior hands-on engineering experience. Why Join Us You will play a critical role in delivering intuitive, AI-powered experiences that help customers work smarter and more efficiently. You’ll lead a passionate, cross-functional team committed to high-quality execution and meaningful product impact. If you’re ready to drive delivery, raise the bar, and help shape the next wave of AI-driven communication, we’d love to hear from you. - -

Location: Portugal Workplace: onsite About the Role We are looking for a Senior UI/UX Designer – Portals to help define the next generation of intelligent experiences across Intermedia's products. In this role, you will design experiences that make artificial intelligence useful, intuitive, trustworthy, and approachable for business users. You will work at the intersection of UX strategy, interaction design, generative AI, conversational experiences, and enterprise software , turning sophisticated AI capabilities into simple experiences that solve real customer problems. You will partner closely with Product Managers, Product Owners, AI/ML teams, Engineering, Research, and other designers throughout the complete product lifecycle—from customer and market research through concepts, prototyping, development, launch, and post-launch analysis. This is not simply a role for adding AI features to existing interfaces. You will help define how users interact with AI across our products , including copilots, assistants, conversational interfaces, recommendations, summarization, intelligent automation, and agentic experiences. Key Responsibilities AI Experience Design Design intuitive user experiences for AI-powered capabilities across web, desktop, mobile, and administrative interfaces. Explore new interaction models for generative AI, including conversational interfaces, copilots, AI assistants, intelligent recommendations, content generation, summarization, and AI-driven workflow automation. Design experiences for emerging agentic AI capabilities where AI systems can reason, recommend actions, execute tasks, and coordinate multi-step workflows on behalf of users. Translate complex AI functionality into simple, understandable interactions appropriate for everyday business users. Determine when AI should proactively assist users versus when users should explicitly initiate or control AI functionality. Design effective patterns for prompts, suggestions, generated content, AI actions, confirmations, feedback, and human intervention. Create experiences that communicate what an AI system is doing, why it made a recommendation, and what actions it has taken or intends to take. UX & Product Design Own design initiatives from discovery and concept development through prototyping, implementation, launch, and post-launch optimization. Conduct user research, usability studies, interviews, competitive analysis, and workflow analysis to understand customer needs and behaviors. Translate customer problems and product requirements into user journeys, workflows, wireframes, prototypes, and high-fidelity designs. Develop and validate design hypotheses through rapid prototyping and user testing. Identify opportunities to simplify complex workflows through thoughtful UX and intelligent automation. Use qualitative and quantitative data to evaluate experiences and recommend improvements. Work closely with Product Management to ensure designs address meaningful customer problems and measurable business outcomes. AI Trust & Responsible Design Design AI experiences that establish appropriate levels of trust, transparency, and user control . Clearly distinguish AI-generated information and actions where appropriate. Design graceful experiences for uncertainty, incomplete information, errors, hallucinations, and situations where the AI cannot confidently complete a request. Create effective confirmation, undo, escalation, and human-in-the-loop patterns for AI-driven actions. Design feedback mechanisms that allow users to evaluate, correct, or improve AI-generated results. Partner with Product, Engineering, Security, Privacy, and Legal teams to incorporate responsible AI principles into the user experience. Help establish UX guidelines for consistent and responsible use of AI throughout Intermedia products. Design Systems Contribute to and evolve Intermedia's design system to support AI-powered experiences. Define reusable patterns and components for conversational interfaces, AI recommendations, generated content, AI actions, status indicators, feedback mechanisms, and agentic workflows. Ensure new AI capabilities integrate naturally with established product experiences rather than feeling like disconnected features. Maintain consistency across products while identifying where emerging AI interactions require new design paradigms. Partner with designers and developers to ensure design-system components are practical, scalable, accessible, and consistently implemented. Collaboration & Leadership Partner closely with Product Managers, Product Owners, AI/ML engineers, software engineers, architects, researchers, and other designers. Facilitate design workshops and collaborative discovery sessions to explore customer problems and AI opportunities. Clearly communicate design rationale, research findings, user needs, and tradeoffs to technical and non-technical stakeholders. Challenge assumptions and advocate for customer-centered solutions when technology or implementation considerations begin driving the experience. Provide design leadership and mentorship to other designers and help raise the overall quality of UX across the organization. Collaborate effectively across multiple teams and product areas to create coherent end-to-end customer experiences. Stay current with emerging AI technologies, interaction patterns, and design practices and translate relevant developments into practical product experiences. Our Expectations 5+ years of professional UI/UX, Product Design, or Interaction Design experience, ideally designing complex SaaS or enterprise software. A strong portfolio demonstrating end-to-end product design, complex workflows, interaction design, and thoughtful problem solving. Excellent knowledge of usability, UX/UI, interaction design, information architecture, accessibility, and human factors principles. Strong ability to analyze complex requirements and turn them into simple, elegant solutions. Experience conducting or participating in user research and usability testing. Strong proficiency with Figma , prototyping tools, and modern design-system practices. Experience working closely with Product Management and Engineering in an Agile software-development environment. Strong communication, presentation, collaboration, and stakeholder-management skills. Ability to work effectively with ambiguity and rapidly evolving requirements. Strong attention to detail while maintaining an understanding of the broader product and customer experience. AI Experience & Knowledge We don't expect you to be an AI engineer, but we do expect curiosity and practical fluency with modern AI technologies. The ideal candidate has: Experience designing products or features powered by generative AI, machine learning, or intelligent automation. Understanding of large language models (LLMs) and the opportunities and limitations they introduce into product experiences. Familiarity with conversational UX and natural-language interfaces. Understanding of concepts such as prompts, context, AI-generated content, confidence and uncertainty, hallucinations, and AI feedback loops. Familiarity with AI agents and emerging patterns for designing systems that can perform multi-step actions on behalf of users. Experience thinking through trust, transparency, explainability, privacy, and user control in AI experiences. A strong interest in experimenting with new AI tools and interaction models. Advantages Experience designing enterprise communications, collaboration, contact center, productivity, or workflow-automation products. Experience designing AI copilots, assistants, conversational interfaces, or agentic workflows. Experience developing or contributing to large-scale design systems. Experience with voice and multimodal interfaces. Understanding of accessibility standards and inclusive design. Familiarity with HTML/CSS and the technical constraints of modern web applications. Experience using AI-assisted design and prototyping tools. Experience working with globally distributed Product and Engineering teams. What Success Looks Like As a Senior UI/UX Designer – AI, you will help ensure that AI at Intermedia is not simply powerful technology—it is a valuable and trusted customer experience . Success means: Customers immediately understand how AI can help them. Complex AI capabilities feel simple and natural to use. Users remain informed and in control when AI recommends or takes actions. AI features integrate seamlessly into existing customer workflows. Common AI interaction patterns become consistent across Intermedia products. Research and customer feedback meaningfully influence AI product decisions. Product and Engineering teams view Design as a strategic partner in determining what AI experiences should be built , not simply how they should look. Ultimately, you will help establish the design language and interaction principles that shape how customers experience AI across Intermedia's portfolio.

Location: Portugal Workplace: remote About the Role We are looking for a Senior UI/UX Designer – AI to help define the next generation of intelligent experiences across Intermedia's products. In this role, you will design experiences that make artificial intelligence useful, intuitive, trustworthy, and approachable for business users. You will work at the intersection of UX strategy, interaction design, generative AI, conversational experiences, and enterprise software , turning sophisticated AI capabilities into simple experiences that solve real customer problems. You will partner closely with Product Managers, Product Owners, AI/ML teams, Engineering, Research, and other designers throughout the complete product lifecycle—from customer and market research through concepts, prototyping, development, launch, and post-launch analysis. This is not simply a role for adding AI features to existing interfaces. You will help define how users interact with AI across our products , including copilots, assistants, conversational interfaces, recommendations, summarization, intelligent automation, and agentic experiences. Key Responsibilities AI Experience Design Design intuitive user experiences for AI-powered capabilities across web, desktop, mobile, and administrative interfaces. Explore new interaction models for generative AI, including conversational interfaces, copilots, AI assistants, intelligent recommendations, content generation, summarization, and AI-driven workflow automation. Design experiences for emerging agentic AI capabilities where AI systems can reason, recommend actions, execute tasks, and coordinate multi-step workflows on behalf of users. Translate complex AI functionality into simple, understandable interactions appropriate for everyday business users. Determine when AI should proactively assist users versus when users should explicitly initiate or control AI functionality. Design effective patterns for prompts, suggestions, generated content, AI actions, confirmations, feedback, and human intervention. Create experiences that communicate what an AI system is doing, why it made a recommendation, and what actions it has taken or intends to take. UX & Product Design Own design initiatives from discovery and concept development through prototyping, implementation, launch, and post-launch optimization. Conduct user research, usability studies, interviews, competitive analysis, and workflow analysis to understand customer needs and behaviors. Translate customer problems and product requirements into user journeys, workflows, wireframes, prototypes, and high-fidelity designs. Develop and validate design hypotheses through rapid prototyping and user testing. Identify opportunities to simplify complex workflows through thoughtful UX and intelligent automation. Use qualitative and quantitative data to evaluate experiences and recommend improvements. Work closely with Product Management to ensure designs address meaningful customer problems and measurable business outcomes. AI Trust & Responsible Design Design AI experiences that establish appropriate levels of trust, transparency, and user control . Clearly distinguish AI-generated information and actions where appropriate. Design graceful experiences for uncertainty, incomplete information, errors, hallucinations, and situations where the AI cannot confidently complete a request. Create effective confirmation, undo, escalation, and human-in-the-loop patterns for AI-driven actions. Design feedback mechanisms that allow users to evaluate, correct, or improve AI-generated results. Partner with Product, Engineering, Security, Privacy, and Legal teams to incorporate responsible AI principles into the user experience. Help establish UX guidelines for consistent and responsible use of AI throughout Intermedia products. Design Systems Contribute to and evolve Intermedia's design system to support AI-powered experiences. Define reusable patterns and components for conversational interfaces, AI recommendations, generated content, AI actions, status indicators, feedback mechanisms, and agentic workflows. Ensure new AI capabilities integrate naturally with established product experiences rather than feeling like disconnected features. Maintain consistency across products while identifying where emerging AI interactions require new design paradigms. Partner with designers and developers to ensure design-system components are practical, scalable, accessible, and consistently implemented. Collaboration & Leadership Partner closely with Product Managers, Product Owners, AI/ML engineers, software engineers, architects, researchers, and other designers. Facilitate design workshops and collaborative discovery sessions to explore customer problems and AI opportunities. Clearly communicate design rationale, research findings, user needs, and tradeoffs to technical and non-technical stakeholders. Challenge assumptions and advocate for customer-centered solutions when technology or implementation considerations begin driving the experience. Provide design leadership and mentorship to other designers and help raise the overall quality of UX across the organization. Collaborate effectively across multiple teams and product areas to create coherent end-to-end customer experiences. Stay current with emerging AI technologies, interaction patterns, and design practices and translate relevant developments into practical product experiences. Our Expectations 5+ years of professional UI/UX, Product Design, or Interaction Design experience, ideally designing complex SaaS or enterprise software. A strong portfolio demonstrating end-to-end product design, complex workflows, interaction design, and thoughtful problem solving. Excellent knowledge of usability, UX/UI, interaction design, information architecture, accessibility, and human factors principles. Strong ability to analyze complex requirements and turn them into simple, elegant solutions. Experience conducting or participating in user research and usability testing. Strong proficiency with Figma , prototyping tools, and modern design-system practices. Experience working closely with Product Management and Engineering in an Agile software-development environment. Strong communication, presentation, collaboration, and stakeholder-management skills. Ability to work effectively with ambiguity and rapidly evolving requirements. Strong attention to detail while maintaining an understanding of the broader product and customer experience. AI Experience & Knowledge We don't expect you to be an AI engineer, but we do expect curiosity and practical fluency with modern AI technologies. The ideal candidate has: Experience designing products or features powered by generative AI, machine learning, or intelligent automation. Understanding of large language models (LLMs) and the opportunities and limitations they introduce into product experiences. Familiarity with conversational UX and natural-language interfaces. Understanding of concepts such as prompts, context, AI-generated content, confidence and uncertainty, hallucinations, and AI feedback loops. Familiarity with AI agents and emerging patterns for designing systems that can perform multi-step actions on behalf of users. Experience thinking through trust, transparency, explainability, privacy, and user control in AI experiences. A strong interest in experimenting with new AI tools and interaction models. Advantages Experience designing enterprise communications, collaboration, contact center, productivity, or workflow-automation products. Experience designing AI copilots, assistants, conversational interfaces, or agentic workflows. Experience developing or contributing to large-scale design systems. Experience with voice and multimodal interfaces. Understanding of accessibility standards and inclusive design. Familiarity with HTML/CSS and the technical constraints of modern web applications. Experience using AI-assisted design and prototyping tools. Experience working with globally distributed Product and Engineering teams. What Success Looks Like As a Senior UI/UX Designer – AI, you will help ensure that AI at Intermedia is not simply powerful technology—it is a valuable and trusted customer experience . Success means: Customers immediately understand how AI can help them. Complex AI capabilities feel simple and natural to use. Users remain informed and in control when AI recommends or takes actions. AI features integrate seamlessly into existing customer workflows. Common AI interaction patterns become consistent across Intermedia products. Research and customer feedback meaningfully influence AI product decisions. Product and Engineering teams view Design as a strategic partner in determining what AI experiences should be built , not simply how they should look. Ultimately, you will help establish the design language and interaction principles that shape how customers experience AI across Intermedia's portfolio.