Principal Java Engineer Jobs

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Team When a Fortune 500 C-suite brings in Decagon, they are not buying a support tool. They are buying a transformation of how their customers experience their brand, end to end. Agent Product Managers are the people they trust to make that transformation real. Your counterpart is the C-suite, and what they are asking you to transform is their entire customer experience. You define the roadmap, the frameworks, and the decision-making models that make a top-down transformation feel safe to bet on. You hold that relationship from the first pre-sales conversation through the life of the account. The work compounds in a way most roles don't. Every flagship deployment you lead feeds directly into our playbooks and raises the quality of every build that follows. Hard-won lessons on your accounts become leverage across the whole company, and the IP you create outlives any single agent. These are the largest, most complex enterprises in the market. The ones that require deep customization, real j

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Role Decagon is seeking a Solutions Architect – Voice, a technical hire who will define how enterprises deploy Decagon's AI agents into live voice and contact center environments. This role sits at the intersection of pre-sales engineering, telephony architecture, and enterprise contact center strategy. You will act as a trusted advisor to enterprise prospects and customers, guiding them through complex, ambiguous voice deployment conversations—from SIP trunking and call routing to media handling and real-time transcription—ensuring Decagon integrates seamlessly into their existing contact center platforms while meeting latency, reliability, and compliance requirements. As an early hire in this function, you will define best practices for voice deployment solutioning, partner cross-functionally with Sales, Product, and Engineering, and set the standard for how Decagon engages with enterprises running mission-critical contact center operations. You will establish technical credibility with

Role Mission Own, lead, and scale Discovery & Framing at Defense Unicorns—help customers identify and clearly define the mission problems that matter, quantify their impact, establish what success looks like, and create the clarity needed to determine the right path forward. The Head of Discovery & Framing will lead the highest-priority customer engagements, establish the D&F methodology and quality standard, and build the team required to deliver the discipline at scale. The Role Defense Unicorns is creating a dedicated Discovery & Framing function to improve how we understand customer problems before moving into solution design. This is a senior, hands-on strategy role for someone who knows how to walk into an ambiguous customer situation, ask the questions others miss, separate symptoms from root causes, and turn a complex discussion into a clear and measurable mission problem. Trust is built by knowing the customer's mission intimately—its language, operating tempo, constraints, failure modes, stakeholder pressures, and consequences of getting it wrong. The Head of D&F must be equally comfortable facilitating a working session with senior customer leaders, interviewing operators and technical stakeholders, analyzing what was learned, and producing a concise executive-quality output afterward. This is not a traditional sales role, product presentation role, or technical discovery role. Operating principle: Help the customer define and measure the right problem before asking them to choose a solution. What You Will Own Lead Discovery & Framing Engagements Prepare for and personally facilitate high-value D&F engagements with customer executives, mission leaders, operators, technical stakeholders, acquisition leaders, and other key participants. Lead the most strategic, complex, or ambiguous engagements while developing additional D&F practitioners to handle increasing volume. Build the Discovery & Framing Function Establish the D

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Team The Founder’s Office is a unique and high visibility team whose work spans the entire business, so our Data and Analytics arm presents an opportunity for high ownership, visibility, and impact across the entire company. The team is highly collaborative and works directly with leadership to optimize operations and strategy across company growth strategy, partnerships, pricing, and cost optimizations. About the Role In this role, you will be responsible for building 0 to 1 data infrastructure that enables the company to make informed strategic discussions. Specifically, this means working in Python and SQL across multiple databases and parsing through complex Engineering and AI logs to construct trustworthy and reliable datasets that will enable intuitive and confident decision making. In this role, you will: Partner with engineering to instrument new product surfaces and ensure clean, reliable event and usage data Translate ambiguous business scenarios into measurable data problems sp

** English Version to Follow Analyste KYC Lieu: Montréal, Québec La présence au bureau est requise au minimum 3 jours par semaine, dont au moins une journée le lundi et/ou le vendredi. À propos de mthree mthree s’associe à des institutions bancaires internationales afin d’aider de jeunes professionnels à lancer leur carrière. Notre client à Montréal est actuellement à la recherche d’un(e) Analyste KYC pour se joindre à une organisation dynamique et en pleine croissance. Description du poste Intervenant aux dernières étapes du processus de diligence raisonnable KYC et travaillant en étroite collaboration avec l’ensemble des parties prenantes du processus de diligence raisonnable KYC, notamment les responsables des données, les contrôleurs des données, les analystes de filtrage, les enquêteurs, les équipes de conformité et les gestionnaires de relations, l’Analyste KYC est responsable de s’assurer que les vérifications diligentes effectuées sur les nouveaux clients ou les clients existants sont conformes aux exigences réglementaires ainsi qu’aux politiques et directives internes. Responsabilités Dans le cadre d’une analyse fondée sur les faits, les principales responsabilités de l’Analyste KYC comprennent : S’assurer que l’ensemble des données, documents et renseignements recueillis dans le cadre du processus de diligence raisonnable sont conformes et fiables afin de déterminer le niveau de risque final associé à la relation client. S’assurer que le niveau de diligence raisonnable effectué correspond au niveau de risque final associé à la relation client. S’assurer que les exigences réglementaires locales applicables au dossier KYC ont été respectées. S’assurer que les éléments déclencheurs liés aux risques de criminalité financière sont soumis aux équipes de conformité pour avis, lorsque requis. Préparer une note de synthèse documentant et justifiant l’analyse KYC effectuée. S’assurer que le dossier est soumis au gestionnaire de relations pour approbation final

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Team When a Fortune 500 C-suite brings in Decagon, they are not buying a support tool. They are buying a transformation of how their customers experience their brand, end to end. Agent Product Managers are the people they trust to make that transformation real. Your counterpart is the C-suite, and what they are asking you to transform is their entire customer experience. You define the roadmap, the frameworks, and the decision-making models that make a top-down transformation feel safe to bet on. You hold that relationship from the first pre-sales conversation through the life of the account. The work compounds in a way most roles don't. Every flagship deployment you lead feeds directly into our playbooks and raises the quality of every build that follows. Hard-won lessons on your accounts become leverage across the whole company, and the IP you create outlives any single agent. These are the largest, most complex enterprises in the market. The ones that require deep customization, real j

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Team The Accounting team owns the numbers at a rapidly scaling startup. We ensure accurate, timely financial reporting in accordance with U.S. GAAP while designing scalable processes and strong controls that support expansion across teams and geographies. Partnering closely with Sales, People, Legal, and Operations, we drive thoughtful spend management, contract oversight, and operational excellence, balancing precision with agility in a fast-moving environment where our work directly enables the company's next stage of growth. About the Role We're looking for a technically strong Technical Accounting & Financial Reporting Manager to own complex, non-routine accounting matters as Decagon scales. This is a high-impact individual contributor role for someone who thrives on solving thorny GAAP questions, revenue recognition, business combinations, and stock-based compensation among them, and can turn them into clear, well-documented conclusions the business can act on. You'll partner clo

Titleist et FootJoy sont des noms que les golfeurs du monde entier connaissent. Ces marques sont détenues par Acushnet Company, le plus grand fabricant mondial d'articles de golf, dont le siège est situé à Fairhaven, aux États-Unis. La filiale française de la société Acushnet est chargée des ventes et du marketing pour la France, le Benelux, l’Espagne, le Portugal et l’Italie . Nous t’offrons l’opportunité rare et passionnante de rejoindre l’équipe marketing Titleist. Tu es passionné(e) par le golf ? Tu as une qualification ou une première expérience professionnelle en marketing digital ? Tu souhaites travailler dans un environnement dynamique, innovant et jeune ? Alors tu es au bon endroit... Tu souhaites commencer ou poursuivre ta carrière dans le secteur du golf. Tu es diplômé(e) en marketing et tu as une première expérience professionnelle dans ce secteur, idéalement dans le domaine du sport. Tu es capable de communiquer en anglais, de comprendre les enjeux des marques mondialement connues, et de travailler dans un environnement international. En tant que Titleist Digital Marketing Specialist , tu seras directement rattaché(e) au Titleist Marketing Manager pour la région Mainland Europe et tu travailleras en étroite collaboration avec d'autres membres de l’équipe Marketing Titleist, départements de l’entreprise et prestataires extérieurs, tant au niveau local qu'international. Tu seras le(a) garant(e) du développement et de la mise en œuvre de la stratégie marketing digital Titleist sur la France, le Benelux, l’Espagne, le Portugal et l’Italie et tu seras challengé(e) sur les 4 axes principaux ci-dessous : WEBSITE - ECOMMERCE Piloter et gérer notre site Web marchand via un CMS dédié. Participer à la mise à jour et l’amélioration continue de nos sites web (Titleist.com.fr, Titleist.eu),

Qui nous sommes ? Artefact est une nouvelle génération de cabinet de conseil spécialisée en Data & IA, de la stratégie, au déploiement, jusqu’à l’adoption. Artefact c’est aussi 2500 employés répartis sur 26 pays ont pour mission d’accompagner la transformation chez nos clients. Nous offrons une large gamme de solutions Data et IA driven, que nous adaptions aux besoins spécifiques de nos clients, que ce soit des projets IA pour l'automatisation des process internes à chaque étape de leur chaîne de valeur, la création d'expériences consommateurs innovantes et personnalisées, le conseil en stratégie data et marketing digital jusqu'à la gestion du mix-média et plus encore ! La performance de nos services data repose sur une réelle expertise technologique en Intelligence Artificielle et des compétences métiers acquises auprès de plus de 1000 clients dans le monde, tels que Legrand, AccorHotels, Orange, Carrefour, Engie, Emirates, Deutsche Telekom, Carrefour, etc. La force d'Artefact repose sur un mix unique d'atouts: une connaissance des technologies de pointe en Data et IA, des méthodes agiles permettant de délivrer très rapidement les projets et des équipes composées des meilleurs experts dans leurs domaines (strategy et business consultants, analytics engineers, data scientists, data engineers, UX/UI, etc.). Practice : AI Strategy & Transformation Contexte Nous renforçons notre practice AI Strategy & Transformation avec un(e) Partner chargé(e) d'accompagner nos clients grands comptes, tous secteurs confondus, dans la définition et l'exécution de leurs stratégies IA. Ce poste s'adresse à un profil senior du conseil en stratégie capable de porter des mandats au niveau comité exécutif, en s'appuyant sur l'expertise data et IA reconnue d'Artefact. Missions principales Piloter et développer un portefeuille de mandats stratégiques liés à la Data & l'IA, du cadrage jusqu'à l'exécution Construire et faire vivre des relations de confianc

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Team Read more about the research team's work here: https://decagon.ai/blog/introducing-decagon-labs The Research team develops the model and decision-making stack that powers Decagon’s conversational agents for enterprise support. We research, adapt, and implement state-of-the-art techniques in model training, prompting, orchestration, and evaluation in order to make our agents more accurate, robust, and efficient in real-world deployments. Our goal is to push the frontier of applied conversational AI: agents that reliably understand nuanced intent, track long context, and take the right actions under uncertainty. We measure success the way customers feel it: higher resolution rates, better user satisfaction, and consistent behavior at scale. About the Role We’re looking for a manager to lead and grow a team within Decagon Research. You’ll own the team and technical roadmap for an area spanning model post-training, evaluation, safety, speech, or agent behavior, driving ambitious ideas fr

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Team Read more about the Speech Research Team's work: https://decagon.ai/blog/audio-native-semantic-speaker-change-detection https://decagon.ai/blog/scaling-real-time-tts-inference https://decagon.ai/blog/teaching-flow-matching-tts-with-rl The Research team develops the model and decision-making stack that powers Decagon’s conversational agents for enterprise support. We research, adapt, and implement state-of-the-art techniques in model training, prompting, orchestration, and evaluation in order to make our agents more accurate, robust, and efficient in real-world deployments. Our goal is to push the frontier of applied conversational AI: agents that reliably understand nuanced intent, track long context, and take the right actions under uncertainty. We measure success the way customers feel it: higher resolution rates, better user satisfaction, and consistent behavior at scale. About the Role As a Research Engineer focused on Audio and Speech, you’ll be responsible for building the mode

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Team Read more about the research team's work here: https://decagon.ai/blog/introducing-decagon-labs The Research team develops the model and decision-making stack that powers Decagon’s conversational agents for enterprise support. We research, adapt, and implement state-of-the-art techniques in model training, prompting, orchestration, and evaluation in order to make our agents more accurate, robust, and efficient in real-world deployments. Our goal is to push the frontier of applied conversational AI: agents that reliably understand nuanced intent, track long context, and take the right actions under uncertainty. We measure success the way customers feel it: higher resolution rates, better user satisfaction, and consistent behavior at scale. About the Role As a Research Engineer focused on Safety, you’ll be responsible for making Decagon’s AI agents safe, reliable, and controllable, from evaluation through production. You’ll identify real-world failure modes and build the models, evalua

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Team Read more about the research team's work here: https://decagon.ai/blog/introducing-decagon-labs The Research team develops the model and decision-making stack that powers Decagon’s conversational agents for enterprise support. We research, adapt, and implement state-of-the-art techniques in model training, prompting, orchestration, and evaluation in order to make our agents more accurate, robust, and efficient in real-world deployments. Our goal is to push the frontier of applied conversational AI: agents that reliably understand nuanced intent, track long context, and take the right actions under uncertainty. We measure success the way customers feel it: higher resolution rates, better user satisfaction, and consistent behavior at scale. About the Role As a Research Engineer focused on Safety, you’ll be responsible for making Decagon’s AI agents safe, reliable, and controllable, from evaluation through production. You’ll identify real-world failure modes and build the models, evalua

SOBRE A CAPCO A Capco é uma consultoria global de tecnologia e negócios, focada no setor de serviços financeiros e energia, somos apaixonados por ajudar nossos clientes, temos 40 escritórios nas Américas, Europa e Ásia-Pacífico! Se criatividade e inovação são sua paixão, a Capco é ideal para você. Vamos te apoiar e ajudar a acelerar sua carreira! Buscamos uma pessoa Senior Data Modelling / Dataverse Specialist com sólida experiência em modelagem de dados e desenho de soluções baseadas no Microsoft Dataverse . Essa pessoa terá papel estratégico na definição de modelos de dados corporativos, garantindo que as estruturas sejam escaláveis, consistentes e alinhadas aos processos de negócio. Também atuará em parceria com arquitetos, desenvolvedores, analistas e stakeholders para estabelecer padrões de governança, qualidade e evolução dos dados. Principais responsabilidades Projetar e evoluir modelos de dados conceituais, lógicos e físicos. Definir tabelas, atributos, chaves, relacionamentos e regras de integridade no Microsoft Dataverse. Traduzir processos e requisitos de negócio em modelos de dados claros, reutilizáveis e escaláveis. Avaliar decisões de modelagem considerando desempenho, segurança, extensibilidade e manutenção. Desenvolver modelos de relacionamento para cenários complexos e integrações entre diferentes domínios. Apoiar iniciativas relacionadas a Knowledge Graphs , ontologias, taxonomias e dados semânticos. Contribuir para a arquitetura de plataformas de dados e para a integração entre Dataverse, sistemas corporativos e outras fontes de dados. Definir padrões, convenções e boas práticas para modelagem e gerenciamento de dados. Estabelecer controles e métricas de governança, qualidade, consistência e rastreabilidade dos dados. Identificar redundâncias, inconsistências e lacunas nos modelos existentes, propondo melhorias. Criar e manter documentação técnica, glossários, dicionários de dados e diagramas de relacionamento. Facilitar discus

SOBRE A CAPCO A Capco é uma consultoria global de tecnologia e negócios, focada no setor de serviços financeiros e energia, somos apaixonados por ajudar nossos clientes, temos 40 escritórios nas Américas, Europa e Ásia-Pacífico! Se criatividade e inovação são sua paixão, a Capco é ideal para você. Vamos te apoiar e ajudar a acelerar sua carreira! Buscamos uma pessoa Data Analyst com forte capacidade analítica e visão de negócio, confortável em trabalhar com dados para além da criação de relatórios e extrações SQL. Essa pessoa será responsável por avaliar a qualidade dos dados, desenvolver indicadores, estruturar frameworks de medição e transformar objetivos de negócio em resultados mensuráveis. A função atuará em parceria com stakeholders, equipes de produto, tecnologia e dados para gerar insights e apoiar decisões estratégicas. Principais responsabilidades Explorar, analisar e interpretar dados provenientes de diferentes fontes. Avaliar a qualidade, integridade, completude, consistência e atualidade dos dados. Identificar anomalias, lacunas e problemas que possam comprometer análises ou decisões. Desenvolver KPIs, métricas e frameworks de medição alinhados aos objetivos de negócio. Traduzir metas e necessidades de negócio em indicadores claros e mensuráveis. Definir critérios, regras e estratégias para identificação, análise e tratamento de registros duplicados. Validar regras de consolidação, correspondência e priorização de registros. Criar relatórios, dashboards e análises que apoiem decisões operacionais e estratégicas. Monitorar tendências, padrões de comportamento e variações relevantes nos dados. Medir a adoção de produtos, plataformas, funcionalidades e novos processos. Avaliar o valor gerado por iniciativas por meio de métricas de impacto, eficiência e resultados. Estabelecer baselines, metas e mecanismos de acompanhamento de desempenho. Comunicar descobertas e recomendações de forma clara para públicos técnicos e não técnicos. Document