Hand Talk

• Define strategy by objective (awareness, consideration, lead generation, MQL, SQL, pipeline and revenue attribution). • Build channel plans (Google Ads, Meta, LinkedIn, YouTube, Display/Programmatic), allocate budget by funnel stage and define test hypotheses. • Create briefs for the agency (or in‑house team) with goals, ICP target, messaging, assets, timeline and SLAs. • Ensure tagging (UTMs), campaign naming and tracking parameters are consistent. • Design and maintain automation flows (nurture, post‑conversion, re‑engagement, enterprise ICP nurture). • Manage database hygiene, segmentation and deduplication; ensure LGPD (Brazilian data protection law) compliance. • Operate scoring/lead grading aligned with MQL criteria → SLA with Sales (Pipedrive) and site/WordPress integration. • Run A/B tests and multivariate tests (creatives, offers, audiences, bids, landing pages, forms). • Conduct incrementality tests when applicable (geo tests, holdouts). • Maintain an experiments backlog with ICE prioritization (Impact, Confidence, Ease) and a biweekly cadence. • Build and maintain dashboards (Looker Studio) with views by channel, campaign and funnel (Lead→MQL→SQL→Sale). • Monitor and optimize CPL, CAC, ROAS, LTV, and MQL→SQL conversion rate. • Investigate drops and variations: traffic quality, offer/CTA, creative, landing page, sales response time, seasonality. • Co‑create high‑conversion pages and forms with Communications (UX writing, digital accessibility, performance). • Map funnel frictions and propose improvements (content, social proof, offers, chat, lead magnet, webhook, web‑to‑lead). • Maintain naming standards, UTMs, metrics dictionary and QA of events in GA4/GTM. • Weekly results ritual and strategic Marketing Reports (MRs) for leadership with actionable insights. • Monthly close by goals/OKRs and recommendations for the quarter. • Liaise with Comms/Content on offers, creatives and the editorial calendar with a performance focus. • Partner with Sales/SDR on SLA for speed/quality and ICP feedback. • Interface with Product/CS on activation, upsell and advocacy levers. • Light asynchronous daily check (pacing & anomalies). • Weekly meeting with agency/internal team for optimization. • Biweekly review of the experiments backlog (ICE prioritization). • Strategic Marketing Reports monthly, quarterly, semiannual and annual (insights, learnings, plans). • Quarterly Business Review with leadership (OKRs, budget, growth roadmap).

• Assist in developing and maintaining basic data ingestion and transformation pipelines (ETL/ELT) using PySpark and SQL. • Help monitor data pipelines and implement basic checks to ensure data reliability for internal consumers (such as Data Scientists). • Learn and assist in automating pipeline testing and deployment processes. • Work alongside data scientists and software engineers to understand and support integrated data flows. • Assist in documenting data schemas, pipeline architectures, and metadata cataloging.

• Collaborate in the design, development and maintenance of robust backend applications and services to serve ML inferences (FastAPI/Flask or Node.js) • Build and optimize pipelines for real-time or batch inference processing • Deploy, monitor and optimize the performance of models in production, ensuring low latency and high availability • Contribute to the design of distributed systems capable of supporting intensive machine learning workloads • Deploy AI services using containerized infrastructure (Docker/Kubernetes) • Operate in cloud-based environments such as AWS • Work closely with Data Scientists and ML Engineers to translate research models into production-ready services • Support the identification and integration of emerging technologies to improve system performance and the end-user experience.

• Artistic Creation: Produce 3D animations for sign language, 3D renderings, images, videos, and graphic assets, using generative AI tools to assist development and optimize the creative process. • Technical Development: Use Blender for 3D modeling, animation, and rendering, and employ AI tools and open-source solutions such as ComfyUI, Fooocus, and Automatic1111 to create, adapt, and automate workflows, developing pipelines that increase efficiency and production quality. • Project Collaboration: Work closely with designers, developers, and other artists to integrate AI-generated art into diverse projects, ensuring creations meet aesthetic and thematic goals. • Research and Development: Stay up to date with the latest trends and advances in generative AI and diffusion models, exploring new techniques and tools to improve the quality and originality of produced art. • Model Training: Perform training or fine-tuning of diffusion models to create custom artistic styles or meet specific project requirements. • Work in close partnership with linguists, Deaf and hearing collaborators.

• Your primary role will be to extract the maximum potential from deep learning and computer vision algorithms, transforming video streams into structured translation data. • You will work end-to-end: from aligning with the Linguists team to screen reference videos to packaging models for the Engineering team to deploy. • Actively participate in continuous improvements to multimodal LLM-based models.

• Lead high-impact qualitative research—both discovery and evaluative—working with Deaf users and broader communication stakeholders, including interpreters, hearing participants, accessibility leaders, prospective customers, and organizational decision-makers as needed. • Partner with other researchers, linguists, and sign-language data analysts to evolve shared research language, participant-validated research instruments, and systems that connect qualitative insights to measurement and long-term learning. • Design and moderate qualitative studies that prioritize ASL, are culturally fluent, and reflect Deaf users’ experience, language access, communication context, and community expectations. • Evolve video-based research protocols, improving consent practices, privacy, storage, retention, accessibility, participant rights, and ethical handling of recordings. • Ensure research methods and materials are culturally and linguistically accessible, accurately interpreted, and aligned with participants’ understanding and the study objectives. • Own the qualitative components of longitudinal follow-up, including diary studies, qualitative drivers of CSAT, and participant narratives over time. • Partner with other researchers to link qualitative insights to survey design, behavioral signals, reporting, and long-term equivalence goals. • Help maintain a healthy ASL user panel in partnership with Research Operations, including defining recruitment inputs, engagement practices, session standards, communication norms, reciprocity, and overall participant experience quality. • Engage with interpreter communities and subject-matter experts as needed, including establishing guidelines for when direct ASL sessions are appropriate and when interpreters, Certified Deaf Interpreters (CDIs), or expert reviewers are required. • Synthesize research into clear, actionable insights that help teams understand what matters now, what to expect, and what requires further validation. • Maintain research practices that are respectful, transparent, accessible, and meaningful for participants.

• Market mapping and company profiling; • Preparing prospecting lists; • Creating email cadences; • Building and maintaining relationships with prospects; • Scheduling meetings for the sales team.

We are looking for a legal consultant with a collaborative mindset and an operational focus to work in a dynamic, global business environment. If you are fluent in English, passionate about bilingual cross-border contracts, and have solid compliance expertise (especially LGPD and Brazilian labor law), this is your opportunity. You will be responsible for drafting, negotiating and translating essential documents, mitigating legal risks and ensuring regulatory compliance, acting as a strategic partner to local teams and global stakeholders. Join our governance structure and help raise legal excellence to the next level! • This position is based in Brazil and is subject to the Brazilian employment framework and local labor regulations; • Remote work is restricted to the Brazilian territory unless formally approved by the company; • This role follows the internal governance, compliance and approval processes established by Hand Talk/Sorenson. We work every day with very talented people focused on the same purpose: making the world a more accessible and fair place for everyone. We value collaboration and have a huge team spirit — even remotely we stay very close to one another. Come share knowledge and impact the lives of thousands of people in Brazil and around the world. Come be a HandTalker! If you want to be part of the mission to break down communication barriers between Deaf and hearing people through technology worldwide, work with us and learn more about Hand Talk! • Be part of a top-tier team. • We have an excellent work environment, with the right ingredients for you to have a great experience :) • Work side by side with some of the most recognized social entrepreneurs in Brazil and around the world. • Take ownership of your career in an environment with challenging projects. • A highly challenging and collaborative environment. • Opportunity for accelerated learning and growth, with the chance to implement projects that will become success stories in the digital world.

• Hands-on work on Data Science projects, preferably with experience in Computer Vision or NLP; • Strong command of fundamental machine learning concepts (proper data splitting, regularization, hyperparameter tuning); • Ability to define and compute performance metrics (Accuracy, Precision, Recall, F1-Score) and optimize inference time for real-time operation; • Practical experience using version control (Git) and Scrum ceremonies; • Strong knowledge of Python for data manipulation, feature extraction, and model training; • Practical knowledge of JavaScript/TypeScript for running and integrating models in the frontend; • Experience with Deep Learning frameworks (TensorFlow) and Computer Vision (integration of the MediaPipe library combined with OpenCV); • Basic system architecture knowledge and the ability to package simple applications in Docker containers for delivery to Engineering.

• Projetar, construir e fazer a manutenção das Pipelines de Dados escaláveis e eficientes; • Fazer a manutenção da infraestrutura de dados utilizando Terraform para suportar a operação das pipelines; • Garantir a observabilidade, qualidade e confiabilidade dos dados para os nossos clientes internos e externos; • Automatizar processos de ingestão, transformação e orquestração sempre em alinhamento com o stakeholder para garantir a entrega de dados de forma eficiente; • Atuar como o principal embaixador da cultura de dados dentro da Hand Talk. • Colaborar com cientistas de dados, engenheiros de software, área de produtos e comercial para um fluxo integrado de dados.