Rhymetec jobs

Security Program Manager New York City, New York, United States Title: Security Program Manager Location: Remote (U.S., New York / EST Time Zone Preferred) About Rhymetec: Rhymetec was founded in New York City in 2015, growing steadily in the areas of compliance, cyber security and data privacy. Our mission is to ensure our clients are compliant faster, so they can focus on their core business and less on the complexities of building effective and compliant infosec programs. Job Responsibilities Lead technical cyber security programs from scoping to delivery at scale for Rhymetec's customers. Manage a small team of Security Analysts to implement necessary security measures. Build information security programs for Rhymetec's clients. This includes conducting gap assessments against various cyber security frameworks, conducting risk assessments, and overall building strategy for creating and enhancing cyber security programs. Achieve and maintain compliance for cyber security frameworks selected by Rhymetec's customers - participate and manage SOC 2, ISO 27001, PCI, and other external audits on behalf of customers, and provide evidence to CPA's and/or QSA's. Lead project management for Rhymetec's customers and create tasks and milestones to achieve required objectives. Ensure security analysts are completing necessary work on time without delays. Ensure customers achieve the required security objectives such as compliance frameworks on time. Monitor and enforce SLAs for responding to customer requests. Develop methods of tracking project progress and performance. Analyze results to determine potential issues, risks, and enhancements. Improve and maintain customer retention. Availability to travel up to 2 weeks out

Voice Core Engineer Bucuresti, Bucuresti, Romania

Backend Engineer - Personalization - Tunesday New York, NY The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we're behind some of Spotify's most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you'll keep millions of users listening by making great recommendations to each and every one of them. On the Tunesday squad, our mission is simple! When a user is looking for new music, we help them find the right content at the right time. Every week, hundreds of millions of people discover new artists and tracks through the experiences we build - Discover Weekly, Smart Shuffle, Playlist Extender, and This Is Artist. We are a team of backend & data engineers, data scientists & product experts but most of all, we are passionate about music! As a Backend Engineer on Tunesday, you will own and evolve the systems behind some of Spotify's most-loved playlist experiences. Your work will range from low-latency gRPC services handling real-time recommendation requests, to large-scale daily batch pipelines that process hundreds of millions of user signals to surface the right tracks. You will work closely with data scientists and product managers to bring new recommendation ideas to production and you will help define the engineering bar for how we build and evaluate those experiences. The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From

Talent Connect TIKTOK - CDO 2025 PHL Cagayan de Oro - Trade St posted: Posted 30+ Days Ago

DJ Announcer Philadelphia, PA (Bala Cynwyd) posted: Posted 30+ Days Ago

Talent Connect TIKTOK - Laguna 2025 PHL Laguna posted: Posted 30+ Days Ago

Talent Connect TIKTOK - Cebu - J Centre 2025 PHL Cebu posted: Posted 30+ Days Ago

Talent Connect TIKTOK - UPA 2025 PHL Quezon City posted: Posted 30+ Days Ago

Talent Connect TIKTOK - Mactan 2025 2 Locations posted: Posted 30+ Days Ago

Buyer (Turkish Speaker) Budapest, HUN, 1123

Senior Machine Learning Engineer, Personalization, Magenta New York, NY The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we're behind some of Spotify's most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you'll keep millions of users listening by making great recommendations to each and every one of them. The Personalization team at Spotify makes deciding what to listen to next feel effortless for hundreds of millions of users - from Discover Weekly to our newest AI-powered experiences. We're now building conversational AI capabilities that let users interact with Spotify in natural language. You'll join a squad working at the core of this space, shaping how users discover and engage with audio through intelligent, responsive systems. The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we're behind some of Spotify's most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you'll keep millions of users listening by making great recommendations to each and every one of them. The Personalization team at Spotify makes deciding what to listen to next feel effortless for hundreds of millions of users - from Discover Weekly to our newest AI-powered experiences. We're now building conversational AI capabilities that let users interact with Spotify in natural language. You'll join a squad

Technical Support Representative, French Speaker Vilnius, Lithuania posted: Posted 30+ Days Ago

Machine Learning Engineer, Siri Speech Cupertino, United States of America Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Come join us and do your best work. Here at Apple, you'll do more than join something - you'll add something. Join the Siri Speech team and play a part in the next revolution in human-computer interaction. You'll help create groundbreaking technology for large-scale systems, spoken language, big data, and artificial intelligence, building production-quality models that power natural voice experiences used by millions. In this role, you will design and develop machine learning models, fine tune deep learning systems for speaker recognition and multimodal understanding, and collaborate across software engineering, data science, and product to integrate solutions into production. At the Siri Speech team, you will drive research and development for natural voice interaction, investigating new approaches and fine tuning deep learning models. You will design, develop, and implement machine learning models across speech, NLP, and multimodal applications, integrate ML solutions into

Senior Full Stack Engineer - WhoSampled London Every great song has a story behind it: a sample flipped into something new, a melody borrowed and reborn, a classic reinterpreted for a new generation. WhoSampled is where those stories live. WhoSampled is the world's leading database of music samples, interpolations, cover songs, and remixes. Built over more than a decade by a passionate community of over 40,000 contributors, and verified by a dedicated team of moderators, it's become the definitive archive of music's creative lineage - visited by millions of fans each year. In late 2025, WhoSampled joined Spotify, powering SongDNA: a new experience that lets listeners explore the samples, covers, and interpolations woven into the music they love. We're a small team with an outsized impact, and we're growing. As a Senior Fullstack Engineer, you'll be one of the first engineering hires into this team - a genuine opportunity to shape how WhoSampled evolves as a standalone product and as a foundational layer within Spotify's ecosystem. As a small team, our work spans across the stack: you'll work as much on data pipelines and backend APIs as you will on our web app. The ideal candidate is a generalist at heart - someone who's equally at home writing a Django view, tuning a PostgreSQL query, or shipping a UI improvement, and someone who gets results without waiting for someone else to own adjacent layers. Every great song has a story behind it: a sample flipped into something new, a melody

Senior Machine Learning Engineer, Personalization, Music Understanding New York, NY The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we're behind some of Spotify's most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you'll keep millions of users listening by making great recommendations to each and every one of them. You'll join a team working at the intersection of machine learning, music understanding, and user experience. We focus on generating music sessions powering experiences like systems that power conversational playlist generation to give users more adaptive and intuitive control over what they listen to. This team collaborates closely with product, design, user research, and data science to build personalized, high-impact features used by hundreds of millions of listeners worldwide. The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we're behind some of Spotify's most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you'll keep millions of users listening by making great recommendations to each and every one of them. You'll join a team working at the intersection of machine learning, music understanding, and user experience. We focus on generating music sessions powering experiences like systems that power conversational playlist generation to give users more adaptive and intuitive control over what they listen to. This

Speech Therapist Banner Churchill Comm Hosp (801 E Williams Ave) posted: Posted 28 Days Ago

Talent Acquisition Specialist - French Speaker ESP - Catalonia - Barcelona posted: Posted 10 Days Ago

Quotation Engineer - Italian Speaker Budapest, HUN, 1123

Technical Support Representative, Dutch Speaker Vilnius, Lithuania posted: Posted 30+ Days Ago

Customer Service Representative, Italian Speaker Vilnius, Lithuania posted: Posted 17 Days Ago

Audiologist Yale Campus - Natalie Building Yale Campus - Natalie Building

Associate Customer success -Spanish speaker EGY Cairo posted: Posted 30+ Days Ago

Associate Customer Success - German Speaker EGY Cairo - Building F16 posted: Posted 30+ Days Ago

Customer Service Representative, French Speaker Vilnius, Lithuania posted: Posted 4 Days Ago