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Location: United States What the Role Is As the Senior Manager of Data Analytics for Ecommerce, Health & Supply Chain, this role will be responsible for partnering with Health, Merchandising, Inventory Management, and Fulfillment teams. You will influence the company’s strategy and help the company grow through advanced business analytics that raise data fluency and sharpen how decisions are made. The successful leader must be ready to roll up their sleeves and dive into the data, systems, and models, while working collaboratively with the team ensuring you are able to effectively partner across the organization. This highly visible role will interact with the executive team as a thought partner to bring new insights and recommendations to the table. Who You Are Deep eCommerce or retail analytics experience - fluent in the core KPIs for inventory, order economics, pricing, and fulfillment/supply chain cost and efficiency (AOV, unit economics, instock rates, meat beat scores, fulfillment CPUs), and you apply proven industry practice rather than rebuilding it from scratch Proven at balancing people management with hands-on IC work - you can point to analysis you've owned yourself while leading a team, not just work you've coordinated Experienced managing experienced analysts - you bring structure and clear prioritization to a team that already executes well, so they're always on the highest-impact work Confident partnering with VP+ stakeholders - you've built real relationships with senior business leaders and shape priorities with them proactively, front and center with executives Hands-on with AI-native analytics - you've built or are genuinely curious about self-serve analytics infrastructure (semantic layers, context layers, AI-connected reporting), not just traditional dashboards Engaged in what we're building - you ask why before how, challenge assumptions, and contribute to direction instead of delivering dashboards in isolation Prioritizes progress over perfection - you scale rigor to what's at stake and ship a strong, decision-ready answer on time rather than over-polishing 8+ years of experience, ideally with experience in a Data role in a high growth consumer technology or e-commerce company; 5+ years of experience at a manager level You naturally reach for AI in your work - at Babylist, every team uses AI daily. You're already using it to move faster and improve your output, and you stay curious about what's coming next. Strong sense of ownership, intellectual curiosity and an ability to think creatively and critically and thrive in a fast-paced, dynamic environment and manage multiple priorities High attention to detail but an equally important ability to see the big picture and evaluate analyses with strategic business context Extensive experience in data analytics, big data technologies, and statistical modeling to drive business insights. Strong knowledge of data governance, data quality management, and data strategy principles. How You Will Make An Impact Lead and develop 5 experienced analysts and data scientists - prioritization, coaching, quarterly goal-setting, and clean handoffs with stakeholders Own a meaningful book of actionable analysis yourself across eCommerce, supply chain, and health - you stay close to the data, not managing from a distance Partner directly with senior leaders in each area, with regular exposure to the executive team Define and steward the KPI and reporting standards these functions run on Advance our AI-native analytics roadmap, including self-serve tools that connect business teams directly to our data Set the bar for what strong, AI-forward analytics work looks like - and champion it across the team, pushing analysts to share ideas, cross-pollinate approaches, and spread unlocks org-wide Create a culture of Data Analytics excellence where the function is viewed as a strategic partner on analytical matters, providing guidance and assistance to all functional groups as needed Solve complex business challenges by delivering accurate and timely analysis, business insights, and recommendations that deliver results, drive improvements, and influence leaders Translate business priorities into a clear, prioritized analytics roadmap - weighing tradeoffs and making strong recommendations on what the team takes on and what waits Why This Role You're inheriting 5 strong analysts who are already delivering - this isn't a rebuild, it's a chance to level up and scale a team for the future growth of Babylist This pod sits at the intersection of supply chain, health, and e-commerce, with direct exposure to senior business leaders Babylist's data team is genuinely ahead of the curve on AI-native analytics - you'll help shape self-serve tooling most companies are just starting to think about Real IC time is built into this role by design - you'll stay close to the work, not manage from a distance About Compensation We use a market-based approach to compensation. The starting salary range for this role is: $228,250 to $273,900 + 20% target bonus and competitive equity Your starting salary will be based on your location, experience, and qualifications, with increases over time tied to performance, role growth, and internal pay equity. Who We Are Babylist is the leading platform for expecting and new families. More than 10 million people shop with Babylist every year, making it the go-to destination for seamless purchasing, guidance, and expert recommendations. As a modern, AI-forward tech company, Babylist has expanded from a universal registry into a full ecosystem — the Babylist Shop, Babylist Health, Babylist Money, NYC and LA showrooms, branded content, and more — generating $750M in revenue in 2025. Building the generational brand in baby, Babylist is reshaping the $235B kids and baby market and helping parents feel confident, connected, and cared for at every step. Our Ways of Working Babylist is remote-first with team members across the U.S. and Canada who move fast, think smart, and use AI as part of how they work every day — not as an experiment, as an expectation. We come together twice a year to build the relationships behind the work, and we hire people who are genuinely excited about what's possible and prove it through how they show up. Why You Will Love Working At Babylist Our Culture We work with focus and intention, then step away to recharge We believe in exceptional management, and we invest in the tools and the time to connect with colleagues We build products that positively impact millions of people's lives AI is part of how we work, not a side experiment. You'll have leading tools like Claude and ChatGPT from day one, with no waiting on access, so the busywork gets handled and your judgment goes where it counts Growth & Development Competitive pay and meaningful opportunities for career advancement We believe technology and data can solve hard problems We're committed to career progression and performance-based advancement Benefits Company-paid medical, dental, and vision insurance Retirement savings plan with company matching and flexible spending accounts Generous paid parental leave and PTO Winter Wonder Week: the whole company takes a paid week off at the end of the year, whether or not you celebrate anything, so everyone's out at once and comes back refreshed Remote work stipend to set up your office Perks for physical, mental, and emotional health, parenting, childcare, and financial planning Important Notices Recorded Interviews. Babylist uses an interview recording tool to record and transcribe interviews for evaluation purposes in accordance with applicable privacy laws. By participating in an interview, you consent to this recording and transcription. Interview Integrity. AI is part of how we work at Babylist. We expect you to use it too. Your application and interviews should still reflect you and your own thinking. We'll tell you when AI is encouraged. Misrepresentation at any stage may result in removal from consideration for this and future roles. How We Review Applications We use AI throughout our hiring process to help review, screen, and assess applications. These tools support our team's review; they do not replace it, and every hiring decision is made by a person. Connections at Babylist. If you have a family member or close personal relationship with a current Babylist employee, please let your recruiter know. This helps us keep our process fair and transparent for everyone. Protect Yourself from Scams. All official outreach comes from the Babylist Talent Team via @babylist.com email addresses only. We will never ask for payment or personal financial information. If you receive outreach via WhatsApp, Telegram, or a non-Babylist email, it's not us. Verify open roles at babylist.com/careers.

Location: Canada What the Role Is As the Senior Manager of Data Analytics for Ecommerce, Health & Supply Chain, this role will be responsible for partnering with Health, Merchandising, Inventory Management, and Fulfillment teams. You will influence the company’s strategy and help the company grow through advanced business analytics that raise data fluency and sharpen how decisions are made. The successful leader must be ready to roll up their sleeves and dive into the data, systems, and models, while working collaboratively with the team ensuring you are able to effectively partner across the organization. This highly visible role will interact with the executive team as a thought partner to bring new insights and recommendations to the table. Who You Are Deep eCommerce or retail analytics experience - fluent in the core KPIs for inventory, order economics, pricing, and fulfillment/supply chain cost and efficiency (AOV, unit economics, instock rates, meat beat scores, fulfillment CPUs), and you apply proven industry practice rather than rebuilding it from scratch Proven at balancing people management with hands-on IC work - you can point to analysis you've owned yourself while leading a team, not just work you've coordinated Experienced managing experienced analysts - you bring structure and clear prioritization to a team that already executes well, so they're always on the highest-impact work Confident partnering with VP+ stakeholders - you've built real relationships with senior business leaders and shape priorities with them proactively, front and center with executives Hands-on with AI-native analytics - you've built or are genuinely curious about self-serve analytics infrastructure (semantic layers, context layers, AI-connected reporting), not just traditional dashboards Engaged in what we're building - you ask why before how, challenge assumptions, and contribute to direction instead of delivering dashboards in isolation Prioritizes progress over perfection - you scale rigor to what's at stake and ship a strong, decision-ready answer on time rather than over-polishing 8+ years of experience, ideally with experience in a Data role in a high growth consumer technology or e-commerce company; 5+ years of experience at a manager level You naturally reach for AI in your work - at Babylist, every team uses AI daily. You're already using it to move faster and improve your output, and you stay curious about what's coming next. Strong sense of ownership, intellectual curiosity and an ability to think creatively and critically and thrive in a fast-paced, dynamic environment and manage multiple priorities High attention to detail but an equally important ability to see the big picture and evaluate analyses with strategic business context Extensive experience in data analytics, big data technologies, and statistical modeling to drive business insights. Strong knowledge of data governance, data quality management, and data strategy principles. How You Will Make An Impact Lead and develop 5 experienced analysts and data scientists - prioritization, coaching, quarterly goal-setting, and clean handoffs with stakeholders Own a meaningful book of actionable analysis yourself across eCommerce, supply chain, and health - you stay close to the data, not managing from a distance Partner directly with senior leaders in each area, with regular exposure to the executive team Define and steward the KPI and reporting standards these functions run on Advance our AI-native analytics roadmap, including self-serve tools that connect business teams directly to our data Set the bar for what strong, AI-forward analytics work looks like - and champion it across the team, pushing analysts to share ideas, cross-pollinate approaches, and spread unlocks org-wide Create a culture of Data Analytics excellence where the function is viewed as a strategic partner on analytical matters, providing guidance and assistance to all functional groups as needed Solve complex business challenges by delivering accurate and timely analysis, business insights, and recommendations that deliver results, drive improvements, and influence leaders Translate business priorities into a clear, prioritized analytics roadmap - weighing tradeoffs and making strong recommendations on what the team takes on and what waits Why This Role You're inheriting 5 strong analysts who are already delivering - this isn't a rebuild, it's a chance to level up and scale a team for the future growth of Babylist This pod sits at the intersection of supply chain, health, and e-commerce, with direct exposure to senior business leaders Babylist's data team is genuinely ahead of the curve on AI-native analytics - you'll help shape self-serve tooling most companies are just starting to think about Real IC time is built into this role by design - you'll stay close to the work, not manage from a distance Who We Are Babylist is the leading platform for expecting and new families. More than 10 million people shop with Babylist every year, making it the go-to destination for seamless purchasing, guidance, and expert recommendations. As a modern, AI-forward tech company, Babylist has expanded from a universal registry into a full ecosystem — the Babylist Shop, Babylist Health, Babylist Money, NYC and LA showrooms, branded content, and more — generating $750M in revenue in 2025. Building the generational brand in baby, Babylist is reshaping the $235B kids and baby market and helping parents feel confident, connected, and cared for at every step. Our Ways of Working Babylist is remote-first with team members across the U.S. and Canada who move fast, think smart, and use AI as part of how they work every day — not as an experiment, as an expectation. We come together twice a year to build the relationships behind the work, and we hire people who are genuinely excited about what's possible and prove it through how they show up. Why You Will Love Working At Babylist Our Culture We work with focus and intention, then step away to recharge We believe in exceptional management, and we invest in the tools and the time to connect with colleagues We build products that positively impact millions of people's lives AI is part of how we work, not a side experiment. You'll have leading tools like Claude and ChatGPT from day one, with no waiting on access, so the busywork gets handled and your judgment goes where it counts Growth & Development Competitive pay and meaningful opportunities for career advancement We believe technology and data can solve hard problems We're committed to career progression and performance-based advancement Benefits Company-paid medical, dental, and vision insurance Retirement savings plan with company matching and flexible spending accounts Generous paid parental leave and PTO Winter Wonder Week: the whole company takes a paid week off at the end of the year, whether or not you celebrate anything, so everyone's out at once and comes back refreshed Remote work stipend to set up your office Perks for physical, mental, and emotional health, parenting, childcare, and financial planning Important Notices Recorded Interviews. Babylist uses an interview recording tool to record and transcribe interviews for evaluation purposes in accordance with applicable privacy laws. By participating in an interview, you consent to this recording and transcription. Interview Integrity. AI is part of how we work at Babylist. We expect you to use it too. Your application and interviews should still reflect you and your own thinking. We'll tell you when AI is encouraged. Misrepresentation at any stage may result in removal from consideration for this and future roles. How We Review Applications We use AI throughout our hiring process to help review, screen, and assess applications. These tools support our team's review; they do not replace it, and every hiring decision is made by a person. Connections at Babylist. If you have a family member or close personal relationship with a current Babylist employee, please let your recruiter know. This helps us keep our process fair and transparent for everyone. Protect Yourself from Scams. All official outreach comes from the Babylist Talent Team via @babylist.com email addresses only. We will never ask for payment or personal financial information. If you receive outreach via WhatsApp, Telegram, or a non-Babylist email, it's not us. Verify open roles at babylist.com/careers.

Location: United States Workplace: remote About Lyra Health Lyra Health is a leading provider of evidence-based mental health care, serving more than 20 million people globally in partnership with employers and more than 100 million through health plan and partner relationships. The company has delivered more than 15 million sessions of mental health care, published more than 35 peer-reviewed studies, and delivered unmatched outcomes in terms of access, clinical effectiveness, and cost efficiency. Extensive peer-reviewed research confirms Lyra’s transformative care model helps people recover twice as fast and results in a 26% annual reduction in overall healthcare claims costs. Lyra is transforming access to life-changing mental health care through Lyra Empower, the only fully integrated, AI-powered platform combining the highest-quality care and technology solutions. About the Role: Lyra is at the forefront of increasing access to evidence-based, efficacious mental health services on a large scale. Lyra has developed innovative blended models of coaching and psychotherapy that combine leading clinical expertise with routine outcomes monitoring and engaging clinical digital tools. Scientific publications on Lyra’s mental health coaching (Coaching Effectiveness), (Coaching Outcomes), psychotherapy [(Blended Care effectiveness), (Examining Blended Care impact)], (medication management), and overall workforce mental health programs [(Presenteeism impact), (Impact of psychotherapy)] provide strong evidence for the clinical effectiveness of these evidence-based treatment programs. We are looking for an experienced psychologist with a passion for writing, intervention development, and skills training to contribute to our care programs (including but not limited to our parent coaching program, other programming related to youth and families, as well as adult programs).  For this role, strong expertise in child evidence-based mental health interventions is required. This position will be dedicated to writing on clinical topics and upholding a high quality bar for clinical content and programming.  You will be part of a highly skilled, creative, and collaborative team with an established track record for developing effective and engaging interventions and digital clinical materials on emotional wellness and psychotherapy skills.  By directly reaching tens of thousands of clients, your work on interventions and digital clinical materials will help create meaningful positive change on a large scale. Responsibilities: Writing new, engaging clinical content including storytelling and dialogue Developing clinical curriculums and outlines for digital clinical materials Identifying and proposing clinical topics for materials related to evidence-based care (e.g., parenting and managing child externalizing symptoms, youth and families more broadly, adult mental well-being) Reviewing, updating, and editing clinical content to ensure adherence to up-to-date treatment standards Receiving and incorporating significant feedback on your proposals and writing Conducting trainings to help disseminate the use of digital clinical materials Collaborating cross-functionally to produce educational materials and support clinical programming Completing extensive literature reviews to inform outcomes measure selection for a variety of child mental health presentations Conducting presentations and reviewing written content for customers/broader public audience Qualifications: PsyD, PhD in Clinical / Counseling / School psychology Must have a specialization in pediatric mental health Passionate about increasing access to child mental health and family-based interventions Very strong clinical training and experience with providing evidence-based treatments for child mental health across a variety of clinical presentations (e.g., behavioral parent training, behavior therapy, exposure-based CBT, IPT, ACT, DBT, ERP) Excellent writer with demonstrated writing experience, passionate about writing on clinical topics 3+ years of postdoctoral clinical experience in providing evidence-based treatments for child mental health disorders Experience with creating clinical materials for and training providers to deliver child mental health interventions is a plus Able to think outside the box to create innovative and accessible mental health solutions, openness to working with coaches and paraprofessionals to implement evidence-based skills Comfortable with technology Thrives in a fast-paced environment - we move quickly to develop and evaluate clinical programs thus we seek people who are comfortable with constant change, feedback, and improvement Independent, open-minded, non-judgmental, compassionate, and flexible, with excellent interpersonal skills (communication and listening) Functions well in cross-functional contexts (collaborative); previous experience in digital mental health teams (working with Product, Engineering, Marketing, etc.) is a plus Note on Generative AI for Applicants While this role is dedicated to the clinical application of generative AI, we are seeking the unique clinical expertise and nuanced clinical judgment that only highly-trained clinicians can provide. As such, we ask that you do not use generative AI to develop your application materials (including cover letter) or when responding to interview questions.  "We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law.   By applying for this position, you acknowledge that your personal information will be processed as per the Lyra Health Workforce Privacy Notice. Through this application, to the extent permitted by law, we will collect personal information from you including, but not limited to, your name, email address, gender identity, employment information, and phone number for the purposes of recruiting and assessing suitability, aptitude, skills, qualifications, and interests for employment with Lyra.  We may also collect information about your race, ethnicity, and sexual orientation, which is considered sensitive personal information under the California Privacy Rights Act (CPRA) and special category data under the UK and EU GDPR.  Providing this information is optional and completely voluntary, and if you provide it you consent to Lyra processing it for the purposes as described at the point of collection, for example for diversity and inclusion initiatives.  If you are a California resident and would like to limit how we use this information, please use the Limit the Use of My Sensitive Personal Information form.  This information will only be retained for as long as needed to fulfill the purposes for which it was collected, as described above. Please note that Lyra does not “sell” or “share” personal information as defined by the CPRA. Outside of the United States, for example in the EU, Switzerland and the UK, you may have the right to request access to, or a copy of, your personal information, including in a portable format; request that we delete your information from our systems; object to or restrict processing of your information; or correct inaccurate or outdated personal information in our systems. These rights may be subject to legal limitations. To exercise your data privacy rights outside of the United States, please contact globaldpo@lyrahealth.com. For more information about how we use and retain your information, please see our Workforce Privacy Notice." As a full-time Sr. Clinical Product Manager, you will be employed by Lyra Health, Inc. The anticipated annual base salary range for this full-time position is $119,000 - $164,000. The base range is determined by role and level, and placement within the range will depend on a number of job-related factors, including but not limited to your skills, qualifications, experience and location. This role may also be eligible for discretionary bonuses.   Annual salary is only one part of an employee’s total compensation package at Lyra. We also offer generous benefits that include:  Comprehensive healthcare coverage (including medical, dental, vision, FSA/HSA, life and disability insurances) Lyra for Lyrians; coaching and therapy services Equity in the company through discretionary restricted stock units Competitive time off with pay policies including vacation, sick days, and company holidays Paid parental leave  401K with up to 3% matching Monthly tech allowance We like to spread joy throughout the year with well-being perks and activities, surprise swag, regular community celebration…and more!   We can’t wait to meet you.

Location: United States Are you interested in working directly for a single sponsor while having the security and additional career opportunities that working for a global CRO can bring? Our team says it’s the best of both worlds…. ClinChoice is searching for a Principal Biostatistician Consultant  – Oncology (Solid Tumors) to join one of our clients. Position Overview We are seeking an experienced Principal Biostatistician with strong expertise in oncology clinical development, particularly solid tumor studies, to provide statistical leadership and strategic support across clinical trials. The ideal candidate will have extensive experience in the design, execution, analysis, and reporting of oncology clinical trials, along with a strong understanding of oncology endpoints, regulatory requirements, and clinical development strategies. This role requires close collaboration with Clinical Development, Data Management, Statistical Programming, Regulatory Affairs, and other cross-functional stakeholders to ensure high-quality statistical deliverables throughout the clinical development lifecycle. Key Responsibilities Provide statistical leadership and strategic input into the design and execution of clinical trials in oncology, particularly solid tumor indications. Lead and contribute to the development of clinical study protocols, statistical analysis plans (SAPs), and other statistical documents. Provide statistical expertise in clinical trial design, including Phase I, II, and III studies. Develop and review statistical methodologies for oncology endpoints, including Overall Survival (OS), Progression-Free Survival (PFS), Objective Response Rate (ORR), Duration of Response (DoR), and Disease Control Rate (DCR). Apply appropriate statistical methodologies for time-to-event analyses, including Kaplan-Meier estimates, Cox proportional hazards models, and log-rank tests. Provide statistical input on interim analyses, sample size calculations, power calculations, and adaptive trial designs, where applicable. Oversee statistical analyses and ensure the accuracy, consistency, and quality of statistical outputs, including TFLs. Collaborate with statistical programmers to ensure the implementation of statistical analysis plans and delivery of high-quality ADaM datasets and TFLs. Interpret clinical trial results and contribute to clinical study reports (CSRs), regulatory submissions, and scientific publications. Provide statistical guidance and mentorship to junior statisticians and cross-functional team members. Ensure compliance with applicable regulatory guidelines, ICH-GCP, and industry standards. Required Qualifications and Experience PhD or Master's degree in Biostatistics, Statistics, or a related quantitative discipline. Extensive experience in clinical development within the pharmaceutical or biotechnology industry. Strong experience as a Biostatistician supporting oncology clinical trials, particularly solid tumor studies. Significant experience in Phase I, II, and III clinical trial design, analysis, and reporting. Strong knowledge of oncology endpoints, including OS, PFS, ORR, DoR, and DCR. Hands-on expertise in survival analysis, including Kaplan-Meier methodology, Cox regression, and log-rank testing. Experience developing protocols, SAPs, and statistical sections of clinical study reports. Strong knowledge of CDISC standards, including CDASH and ADaM, and regulatory submission requirements. Proficiency in SAS and/or R for statistical analysis. Experience working with cross-functional clinical development teams and providing statistical leadership. Excellent communication, presentation, and problem-solving skills. The Application Process Once you have submitted your CV, you will receive an acknowledgement that we received it. If you have the requirements we need, you will be invited for phone interview as the first step.  Unfortunately, due to the number of applications we receive, we cannot reply to everyone individually if you are not successful. Who will you be working for? About ClinChoice ClinChoice is a global full-service CRO specializing in clinical development and functional solutions for pharmaceutical, biotechnology, medical device, and consumer health companies. We have over 28 years of proven high-quality delivery and results across all our services, with over 4,000 professionals in more than 20 countries across the Americas, Europe, and Asia-Pacific. Our Company Ethos Our mission drives our culture: to contribute to a healthier and safer world by accelerating the development and commercialization of innovative drugs and devices. Our employees are the most valuable company asset and they are the fulcrum around which all ClinChoice activities are built and close management and training is the core instrument to develop and maintain highly-qualified personnel. The continuous training keeps the resources qualified in terms of competence and expertise and gives all personnel the clear tools needed to manage both internal and client processes with the same methodology.   The success of these core values is evidenced by our below industry average turnover rates. ClinChoice is an equal opportunity employer. We have based our success on attracting, developing, and promoting talent guided by diversity and inclusivity. Our employees come from very diverse backgrounds: gender, race, beliefs, and ethnicities. We recognize this is our strength and celebrate it. #LI-DNP

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: Georgia Workplace: hybrid About Intermedia 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! Location Republic of Georgia About the Role We are looking for a .NET Developer to join our Email+ team. In this role, you will design, develop, test, and maintain scalable software solutions that power our email hosting, Microsoft 365 integration, and cloud services. You will work closely with product managers, architects, QA engineers, and fellow developers to build reliable, secure, and high-performance applications used by more than one million hosted mailboxes. This is an excellent opportunity to work on large-scale cloud services, modernize existing systems, and contribute to products that combine Microsoft Exchange, Microsoft 365, email security, backup, and archiving technologies. About the Team & Product The Email+ team develops and supports a portfolio of products that integrate Microsoft Exchange email hosting with email filtering, archiving, encryption, backup, and a unified customer management portal (HostPilot). We also actively expand and modernize our Microsoft 365 ecosystem. Our current initiatives include: Modernizing Microsoft 365 license management Extending functionality of cloud-native M365 microservices Integrating Email Protection with Microsoft 365 and Office 365 Developing and supporting streaming services for Microsoft Exchange Backup, Archiving, and related solutions Improving the scalability, reliability, and security of our email platform Today, our platform hosts and protects over 1 million mailboxes , providing enterprise-grade reliability, security, and performance. We follow Agile/Scrum practices with two-week sprints, daily stand-ups, sprint planning, reviews, and retrospectives. Key Responsibilities Design, develop, test, and maintain applications using the .NET platform. Build scalable backend services and APIs for cloud-based email and Microsoft 365 solutions. Participate in the modernization of existing applications and migration toward modern architectures. Collaborate with Product Management, QA, DevOps, and other engineering teams to deliver high-quality software. Write clean, maintainable, and well-tested code following engineering best practices. Troubleshoot, debug, and resolve production issues. Participate in code reviews and contribute to improving development standards and engineering practices. Optimize application performance, reliability, and scalability. Stay current with emerging technologies, development frameworks, and AI-assisted software engineering practices. Skills, Knowledge and Expertise Required Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field (or equivalent practical experience). 3+ years of professional software development experience with .NET technologies. Strong proficiency in C# and .NET. Experience building RESTful APIs and backend services. Solid knowledge of ASP.NET Core, an open-source web development framework | .NET Core, MVC, and SQL Server. Experience working with HTML, CSS, and JavaScript. Understanding of object-oriented design principles and software design patterns. Experience with Agile/Scrum development methodologies. Strong analytical, troubleshooting, and problem-solving skills. Excellent communication and collaboration skills. Nice to Have Experience with Microsoft 365, Microsoft Exchange, or Office 365 APIs. Experience with microservices architecture and distributed systems. Experience with cloud platforms such as Microsoft Azure. Familiarity with Docker, Kubernetes, or other containerization technologies. Experience with messaging or streaming technologies. Knowledge of email protocols (SMTP, IMAP, POP3, Exchange Web Services, Microsoft Graph API). Experience working with monitoring and observability tools. AI Tools & Modern Development We encourage engineers to leverage modern AI-powered development tools to improve productivity and code quality. Ideal candidates should have: Practical experience using AI-assisted development tools such as GitHub Copilot, ChatGPT, Cursor, or similar solutions. Ability to use AI tools responsibly for code generation, debugging, documentation, testing, and refactoring while validating generated results. Interest in adopting new AI-powered engineering practices to improve software development efficiency. Benefits What We Offer Opportunity to work on high-scale, mission-critical cloud services used by over one million mailboxes. Modern technology stack and opportunities to work with Microsoft 365 and cloud-native services. Collaborative Agile environment with experienced engineers. Opportunities for technical growth, learning, and career development. Competitive compensation and benefits.

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: 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: United States Workplace: remote Launch Manager – AI Are you highly organized, proactive, and energized by bringing people together to deliver a shared goal? Do you thrive on turning a complex, multi-team effort into a clear plan and driving it to a successful outcome? If so, Intermedia’s Data & AI Product Management team is seeking a Launch Manager to own the go-to-market launch of our next generation of AI products – one of the most visible and cross-functional roles on the team. This role sits at the center of how Intermedia brings its AI products to market. You will coordinate launches end to end, align stakeholders across the business, and work directly with senior leadership to keep them informed and confident that each launch is on track. It is an exceptional opportunity for someone who wants to build a broad understanding of the business and develop real visibility with our leaders. 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 Launch Manager, you will own the planning and coordination of AI product launches across our AI groups. You will build and maintain the launch plans – the timelines, owners, and lead times that define what needs to happen, who is responsible, and by when – and keep a large and varied set of stakeholders aligned and on track. You will develop a strong working understanding of the products so you can give clear, well-structured direction, and you will keep senior leadership informed on launch status, risks, and dates. This is a highly cross-functional role in which your impact comes through communication, organization, and consistent follow-through. You will be proactive in keeping commitments on track, following up with stakeholders diplomatically and in a way that strengthens working relationships. What this role is not: this is not an engineering project management role. You will not be coordinating engineering teams against a development plan or managing inter-team technical dependencies and delivery timelines. Your focus is the launch and the stakeholders around it – ensuring the business is ready, aligned, and set up for a successful release. What success looks like in your first 6 months You know the landscape. You understand our AI products well enough to explain them to any audience, and you know who owns what across marketing, sales, support, training, solution architects, and docs. The launch calendar is yours. There’s a single, up-to-date view of what’s launching when — with owners, dependencies, and lead times — and people rely on it. You’ve run a launch. You’ve coordinated at least one launch end-to-end, keeping every workstream aligned and on schedule through to a clean release. A cadence is in place. A regular check-in and communication rhythm exists, so stakeholders always know what they need to do and by when. Leadership trusts your read. You give execs a concise, accurate picture of launch status and risks — and they come to you for it. Working with Senior Leadership Launch readiness is a topic our executives care about, and you will be their trusted point of contact for it. You will report launch status directly to senior leadership, present timelines and readiness in leadership forums, and give our executives the clear, concise picture they need to make decisions. This is a rare opportunity early in a career to work alongside leaders across the company, build genuine relationships with the executive team, and be recognized as the person who makes launches happen – visibility that can open significant doors for your future at Intermedia. Key Responsibilities Own and maintain launch plans for AI products – project plans and spreadsheets capturing timelines, owners, dependencies, and required lead times for each task. Map the stakeholders involved in each launch and run a clear communication cadence so everyone knows what they need to do and by when. Track go-to-market readiness across the business – marketing, sales, support, training, solution architects, documentation, and more – and keep it all moving toward the launch date. Provide clear, well-organized direction to stakeholders and follow up proactively and diplomatically to keep commitments on track. Report launch status, risks, and delivery dates to senior leadership, and present readiness in leadership forums. Coordinate usability testing and customer feedback sessions by connecting product teams with customers, solution architects, and other stakeholders, and organizing the logistics. Run launch checklists, go/no-go reviews, and post-launch retrospectives to continuously improve how we launch. Build a strong working understanding of the products so you can communicate credibly with any audience, from engineers to executives. Requirements Enough familiarity with AI products to explain them credibly to any audience; deep technical or model-building knowledge is not required. 1–2 years of experience in a role that rewards strong organization and coordination – for example project or program coordination, product ownership, business operations, launch or event management, an internship, or a similar cross-functional role. We’re open to high-potential candidates early in their careers. A track record of keeping multiple workstreams, owners, and deadlines on track at once, with excellent attention to detail. Excellent written and verbal communication, with the ability to tailor a message to any audience, from individual contributors to senior executives. Strong interpersonal skills and a collaborative, outgoing style; you build trust quickly and enjoy working across teams. A proactive, self-starting mindset – you take ownership, anticipate what is needed, and follow through without being asked. Confidence and professionalism when engaging and presenting to senior stakeholders. Comfort working with globally distributed teams, with strong asynchronous communication skills. Upper-intermediate or higher English proficiency. Bachelor’s degree or equivalent professional experience. Would Be a Plus Exposure to go-to-market, product marketing, or launch/event coordination (including internships or university projects). Experience with planning and collaboration tools (e.g. Smartsheet, Jira, Asana, Monday). Familiarity with UCaaS/CCaaS or other SaaS products. Familiarity with modern AI concepts or products. Why Join Us This is a high-visibility role at the heart of how Intermedia brings its AI products to market. You will work with colleagues in nearly every part of the company and partner directly with senior leadership, building relationships and credibility with our executive team. It is a genuine springboard: you will gain a broad understanding of how the business fits together, develop a wide internal network, and make a visible, measurable impact on the success of every launch. If you are organized, proactive, and motivated by delivering results through people, we’d love to hear from you.

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.

Location: Portugal Workplace: remote UI/UX Designer 2 – AI 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. 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 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 office in Coimbra or in Aveiro. We plan to open an office in Porto in the future. This approach gives team members the flexibility to work remotely while also coming together in the office for collaboration and teamwork. 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: Portugal 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 office in Coimbra or in Aveiro. We plan to open an office in Porto in the future. This approach gives team members the flexibility to work remotely while also coming together in the office for collaboration and teamwork. 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 *ALL CANDIDATES MUST BE LOCATED IN PORTUGAL* About Intermedia 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 Intermedia has a wide portfolio of internally developed application software, ranging from web and desktop apps to lower level PBX solutions. Due to the growing demand for integrating security activities into diverse development processes, Intermedia is looking for an experienced and self-motivated Application Security Engineer to help us deliver built-in security to our products. As part of the Global Security team, you will support our company wide application security program, helping the company build secure products. You will be the voice of security for all things related to application security to our spectrum of engineering teams, guiding the architecture and execution of our SDLC throughout the enterprise. This position is an individual contributor role, reporting directly to the Manager, Application Security. What you will be doing: Perform design and architecture review of new features, suggest security requirements Collaborate with DevOps and engineering teams, advising on security features and best practices in SDLC Utilize static security scanning tools, review findings and coordinate remediation actions Perform ongoing manual security assessments Review the results of external penetration tests and communicate suggested fixes to development teams Provide on-demand support on application security topics Drive process improvement ideas Assist with vetting and intake of defects from 3rd party security researchers via our Bug Bounty program What you will bring to the role: 3 - 5 years of experience in the application security field Bachelors or Master Degree in related field of expertise Knowledge of secure coding best practices and industry standards (such as OWASP) and the ability to apply them to different programming languages Familiarity with SDLC and DevSecOps concepts and hands-on experience in implementing them Knowledge and/or hands on experience with identifying A.I. threats in a security landscape Experience in using static and dynamic security scanning tools (such as BurpSuite, ZAP, and Snyk, or other related technologies) Experience with programming languages such as Python is preferred Ability to explain application security threats and mitigation options to both developers and project managers Good communication skills in written and verbal English Experience and/or knowledge in securing applications within cloud platforms (AWS, Azure) and containerized environments (Docker, Kubernetes) Participation in CTF challenges and bug-bounty programs 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: hybrid Talent Partner - EMEA Technical Recruiting Location: UK About Intermedia Intermedia is a leading provider of Intelligent Cloud Communications, bringing together voice, video, collaboration, contact center, AI-enabled capabilities, and security into a seamless, enterprise-grade platform. Our technology helps organizations connect smarter, work better, and stay secure—leveraging intelligence and automation to improve how businesses communicate. At Intermedia, your voice matters. We move fast, hold ourselves accountable, and genuinely have each other’s backs. Many of our people have built long, meaningful careers here—10, 15, even 20+ years—because they’re challenged, trusted, and empowered to make an impact. If you thrive in a high-growth, technology-driven environment and love building world-class teams, we’d love to meet you. About the Role: We are seeking a Talent Partner with 2-6 years of recruiting experience, including hands-on exposure to technical hiring, to join our collaborative global recruiting team. This is an opportunity to help scale Intermedia across EMEA while continuing to build your own expertise in technical recruiting and global talent acquisition. You will partner with experienced recruiters, HR Business Partners, and hiring leaders to support hiring primarily across the UK and Portugal, with flexibility to assist in other EMEA and global markets as needs evolve. You will own searches, learn our business and technical landscape, and contribute ideas, market insight, and disciplined execution as we grow. This role is well suited to a recruiter with strong fundamentals who is eager to deepen their technical hiring capability and gain broader experience helping a global technology company scale. What you will be doing: Help scale the business by owning full-cycle technical recruiting, primarily across the UK and Portugal, with flexibility to support other EMEA and global needs. Recruit for roles across engineering, cloud infrastructure, security, DevOps, product, and AI-adjacent disciplines supporting our Intelligent Communications platform. Build knowledge of Intermedia's products, technologies, teams, and business goals so you can confidently engage and assess technical talent. Partner closely with the greater recruiting team, HR Business Partners, and Hiring Managers, seeking context, feedback, and subject-matter expertise when needed. Develop and execute thoughtful sourcing strategies using LinkedIn Recruiter, direct sourcing, referrals, market mapping, targeted campaigns, and appropriate AI-assisted tools. Build and maintain qualified, engaged pipelines across multiple geographies and time zones. Lead structured candidate screens, assess alignment with role requirements, and provide clear recommendations to Hiring Managers. Deliver an outstanding candidate experience and represent Intermedia's culture and employer brand with professionalism and care. Partner with Hiring Managers on intake, search strategy, interview design, structured evaluation, and timely decision-making. Share market insight and recruiting data that help leaders understand talent availability, competition, and potential adjustments to the search. Serve as a consistent point of contact for candidates throughout the recruiting lifecycle, ensuring transparency and timely communication. Track and communicate recruiting activity, pipeline health, conversion, time to slate, and hiring outcomes. Use data and feedback to improve sourcing, screening, stakeholder partnership, and overall recruiting effectiveness. Continue developing knowledge of technical talent markets across EMEA, including SaaS, cloud communications, UCaaS, CCaaS, and related sectors. Recognize when right-to-work, immigration, sponsorship, or country-specific questions require support and engage the appropriate HR Business Partner or subject-matter expert. Coordinate reference checks and other final-stage recruiting steps as required. What you will bring to the role: Required BA/BS degree or equivalent experience 2-6 years of proven technical recruiting experience, with a strong track record of success in full-cycle recruiting success, leveraging AI-driven tools to source, engage, and close top technical talent Demonstrated experience recruiting for technology-driven and AI-enabled organizations, preferably within SaaS, cloud communications, UCaaS, CCaaS, or related industries Ability to quickly learn and clearly articulate complex technical and AI-related roles, technologies, and business needs Some experience leveraging AI-powered recruiting tools for sourcing, screening, pipeline management, or recruiting analytics Strong sense of urgency with the ability to balance speed, quality, and candidate experience Results-oriented mindset with a history of meeting or exceeding hiring goals and performance metrics Comfort partnering with senior leaders and highly technical hiring managers Ability to operate effectively in a fast-paced, high-growth, and sometimes ambiguous environment Excellent written and verbal communication skills Collaborative, proactive, and solutions-oriented approach with a positive, can-do attitude Preferred Experience within SaaS, UCaaS, CCaaS, telecommunications, cloud infrastructure, or AI organizations. Experience sourcing across the UK and Europe. Knowledge of technical hiring markets and talent communities. Experience supporting high-growth technology organizations. Success Measures Qualified candidates generated Pipeline strength and diversity Time-to-slate Hiring manager satisfaction Candidate engagement rates Strategic talent pipeline development 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 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 Intermedia has a wide portfolio of internally developed application software, ranging from web and desktop apps to lower level PBX solutions. Due to the growing demand for integrating security activities into diverse development processes, Intermedia is looking for an experienced and self-motivated Application Security Engineer to help us deliver built-in security to our products. As part of the Global Security team, you will support our company wide application security program, helping the company build secure products. You will be the voice of security for all things related to application security to our spectrum of engineering teams, guiding the architecture and execution of our SDLC throughout the enterprise. This position is an individual contributor role, reporting directly to the Manager, Application Security. What you will be doing: Perform design and architecture review of new features, suggest security requirements Collaborate with DevOps and engineering teams, advising on security features and best practices in SDLC Utilize static security scanning tools, review findings and coordinate remediation actions Perform ongoing manual security assessments Review the results of external penetration tests and communicate suggested fixes to development teams Provide on-demand support on application security topics Drive process improvement ideas Assist with vetting and intake of defects from 3rd party security researchers via our Bug Bounty program What you will bring to the role: 3 - 5 years of experience in the application security field Bachelors or Master Degree in related field of expertise Knowledge of secure coding best practices and industry standards (such as OWASP) and the ability to apply them to different programming languages Familiarity with SDLC and DevSecOps concepts and hands-on experience in implementing them Knowledge and/or hands on experience with identifying A.I. threats in a security landscape Experience in using static and dynamic security scanning tools (such as BurpSuite, ZAP, and Snyk, or other related technologies) Experience with programming languages such as Python is preferred Ability to explain application security threats and mitigation options to both developers and project managers Good communication skills in written and verbal English Experience and/or knowledge in securing applications within cloud platforms (AWS, Azure) and containerized environments (Docker, Kubernetes) Participation in CTF challenges and bug-bounty programs 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.