• Develop and execute the company’s strategic vision to accelerate growth and establish AI Acquisition as a leader in the AI tools and marketing agency space. • Lead and inspire a talented, fully remote team, promoting collaboration, innovation, and a strong company culture. • Oversee all operational, financial, and business activities to ensure scalable and efficient processes. • Drive revenue growth by expanding existing programs, establishing new initiatives, and fostering strategic partnerships. • Maintain close relationships with investors, partners, and key stakeholders to support funding and growth objectives. • Ensure compliance with legal, regulatory, and ethical standards across all aspects of the business. • Represent AI Acquisition at industry events, conferences, and in media, enhancing the company’s brand and market presence.

Our mission is to transform how people and machines work together to push the boundaries of human productivity. A leader in Industrial AI, Augury helps the world’s manufacturers leverage real-time production insights to drive new levels of efficiency. Combining predictive and prescriptive AI technology with industry expertise, production teams can proactively address alerts, minimize downtime, reduce asset costs, and maximize yield and capacity. Our customers achieve payback in six months or less, enabling global scale. We're looking for team members excited to partner with the world's manufacturers and build the future of production together. As Augury’s AI Applied Scientist on the algorithms insights & recommendations team, you’ll be at the intersection of advanced technology and meaningful impact with clear business cases. You will have access to real-time (RT) big data from multiple Sensors & Data sources, and a chance to discover, explore research and develop cutting edge models that directly impact industrial manufacturers around the globe. As part of the Applied AI/ML Science team at Augury, you will have the opportunity to continuously grow and learn while building and deploying advanced models directly into our products, stay at the forefront of the technologies in the world, witnessing firsthand their impact on our customers. A Day In Your Life - Own the algorithm lifecycle from problem definition and data analysis to prototyping and delivering production-ready models. - Research, design, and build Agentic applications on top of sensor time-series data, textual data, images, ML applications and other various data sources. - Combine between classic statistical methods, deep learning, transformers, GenAI, and any available technology to extract meaningful insights from the data. - Engage with customers and collaborate with our product team to develop innovative solutions utilizing new types of data. - Leverage modern technologies: work with cloud-based big data platforms for storage, distributed processing, LLMs and agents (GPT, Claude, Gemini), defining & building Gurdrails, reasoning chain as function call, planning, ML-based vectorization and embeddings, and stream analysis. What You Bring - M.Sc., or Ph.D. in Electrical Engineering, Computer Science, Physics, Mathematics, or a related field. - 5+ years of experience in ML applications with experience in modeling time-series data, & ML-based vectoring, and Embeddings for insight & recommendations systems (Transformers included) - 2+ years of experience in LLM and Agentic applications, Eval tools, and workflows (HITL, LLM-as-a-judge, deterministic, Metrics & Embeddings), Fine-Tuning, tools, and workflows using AI frameworks (e.g. LangSmith) - Proficiency in Python for model development, deployment, and monitoring. - Experience working on Agile teams with a passion for fast iterations, feedback, and continuous learning. - Proven ability to collaborate with diverse, cross-functional groups, including product managers, infrastructure and data engineering teams. - The ability to translate research into scalable, production-ready solutions. - Experience in anomaly detection, AI/ML- an advantage. - Experience in feature engineering-based signal processing - an advantage. - Experience in optimizing costs of API calls - Nice to have Perks - Stock options - Paid parental leave - Flex PTO Augury is a people-first organization. We believe in fostering an inclusive environment in which employees feel encouraged to share their unique perspectives, leverage their strengths, and act authentically. We know that diverse teams are strong teams, and we welcome those from all backgrounds and varying experiences. We are committed to providing employees with a work environment free of discrimination and harassment. We believe that diversity is more than just good intentions, and we are committed to creating an inclusive environment for all employees. Augury is a proud equal opportunity employer, we strive to create a work environment in which everyone, all applicants, employees, customers, guests, and vendors feel safe and comfortable. We commit to maintain a workplace that is free of any type of harassment and does not tolerate anyone intimidating, humiliating, or hurting others. We prohibit willful discrimination based on age, gender, ethnicity, race, color, religion, political opinions, sexual orientation, sexual identity or expression, military or veteran status, disability or any other characteristic protected by law.

• Desenhar e custodiar a Estratégia Central de Governança de Dados (2026–2028), definindo horizontes, prioridades e critérios de evolução para contextos nacionais e internacionais. • Revisar, homologar e simplificar políticas de dados (acesso, qualidade, privacidade, classificação, retenção e custo/eficiência), garantindo aderência regulatória à LGPD e ao GDPR aplicados a dados em nuvem. • Traduzir diretrizes normativas em controles executáveis (policy-as-code) em coordenação com os times técnicos de dados. • Atuar como trusted advisor na migração da plataforma de dados para o Google Cloud Platform, garantindo a aplicação de boas práticas de governança nativa em BigQuery, Dataplex/Data Catalog, IAM e DLP, em parceria com o Google. • Operar o Programa de Data Stewardship — incluindo seleção, onboarding, rituais, calendário e playbook por domínio — e gerir indicadores de adoção (NPS interno, % de stewards ativos, % de dados certificados).

Role Description 5W Public Relations is building a standalone AI Communications practice — with its own P&L, product suite, and market position. This is not a title inside an existing org. It is a practice to build from scratch. LLMs are reshaping how brands are perceived. Citations in AI outputs are the new search ranking. Generative Engine Optimization is an emerging discipline with no established leader. This role exists to make 5W that leader — and to build the revenue engine behind it. What You'll Do - Productize GEO and Citation Share into three priced offerings with defined SOWs and a recurring revenue structure — within the first 90 days. - Close five enterprise pilots at $250K+ each and build the pipeline behind them. - Build the AI Communications org — drawing from 5W's existing talent and external hires you recruit directly. - Own the public narrative for the practice: keynotes, earned media, podcasts, and LLM citation presence. - Co-own the category story with firm leadership across all client-facing and market-facing channels. Qualifications - Proven track record building or scaling an AI-native or martech business to $10M–$100M in revenue. An exit is a plus. - Direct experience selling AI, data, or measurement products into Fortune 500 marketing organizations — to CMOs and CEOs, not intermediaries. - Demonstrated ability to package services into productized, recurring-revenue offerings. - Technical fluency in LLMs, retrieval, embeddings, and GEO mechanics — enough to be credible with both clients and builders. - Experience as a public-facing operator: conference stages, media appearances, thought leadership that generates inbound. - A network of brand-side CMOs, CCOs, and Heads of Growth — not agency-side relationships. - Founder or P&L ownership experience. You build teams and carry numbers. Requirements - Minimum 8 years of experience in revenue-generating roles at AI, SaaS, or data companies. - At least one example of closing six- or seven-figure deals with enterprise brand-side buyers. - Ability to travel to clients. Role is hub-agnostic; preferred locations include Miami, Austin, LA, London, Tel Aviv, Lisbon, or Singapore. - Must be based outside the New York metro area. This Role Is Not For You If - Your background is primarily agency-side — PR firms, holding companies, or innovation titles without P&L ownership. - Your last three roles were VP-level positions inside large agencies with no independent revenue responsibility. - You are a researcher or academic without commercial operating experience. - You are looking for a title, a team to manage, and a defined playbook. This role requires building all three.