• Define the vision, strategy, and positioning for credit products, ensuring modular and technology-agnostic solutions. • Build and execute end-to-end roadmaps, from discovery through launch and continuous iteration. • Lead discovery processes, hypothesis validation, risk mapping, and journey design. • Turn data and insights into product decisions, prioritization, and risk strategies. • Collaborate closely with UX, Engineering, Credit, Risk, Commercial, Customer Experience (CX), and Legal teams. • Define and track KPIs for conversion, delinquency (default rate), unit economics, and adoption. • Work with prioritization frameworks and manage trade-offs. • Lead A/B testing initiatives, incremental rollouts, and data-driven development. • Work closely with Engineering teams to define technical scope and dependencies. • Ensure continuous delivery using agile methodologies.

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. You are a Principal Product Manager that will lead key initiatives across Machine Health and Augury’s emerging Industrial AI Workforce offerings. This role sits at the intersection of industrial AI, machine health, IoT, enterprise software, and operational workflows. You will define and scale products that expand Augury’s machine coverage while helping bring AI-powered experiences to reliability, maintenance, and operations teams. You will partner closely with Engineering, Data Science, Design, GTM, Operations, and strategic customers to take products from concept through launch and adoption. This is a highly strategic and hands-on role for someone who thrives in complex environments and enjoys turning ambitious ideas into scalable products with measurable customer impact. A Day In Your Life Define and Scale Machine Coverage Strategy - Own product strategy and roadmap for expanding Augury’s machine coverage across asset types, environments, and customer segments - Develop scalable offerings that combine hardware, software, analytics, services, and AI - Drive solutions that balance coverage expansion, diagnostic quality, operational scalability, and customer trust Build Industrial AI Offerings - Partner with Engineering, AI, and Data Science teams to bring AI-powered workflows and agentic experiences to market - Shape products that support reliability, maintenance, and operations workflows, including root cause analysis, asset strategy, and production optimization - Translate customer pain points into scalable AI-enabled solutions Drive End-to-End Product Execution - Lead product discovery, prioritization, roadmap planning, execution, launch, and post-launch measurement - Align stakeholders across technical, operational, and commercial teams - Deliver products that drive adoption, customer value, and business impact Partner Closely with Customers - Engage directly with strategic customers and Design Partners to validate solutions and gather feedback - Develop a deep understanding of plant operations, maintenance workflows, and operational challenges - Build products grounded in real-world industrial use cases Shape Commercial Readiness - Partner with GTM, Finance, and Operations teams on packaging, pricing, launch planning, and support models - Ensure offerings are technically strong, commercially clear, and operationally scalable What You Bring - 10+ years of Product Management or equivalent product leadership experience - Experience building and scaling B2B SaaS, enterprise software, AI, IoT, or data-driven products - Proven track record leading products from strategy through launch and measurable impact - Strong cross-functional leadership skills across Engineering, Design, Data Science, GTM, and customer-facing teams - Ability to simplify complex technical and business problems into clear product decisions - Strong analytical, communication, and stakeholder management skills - Comfortable operating in fast-moving, ambiguous environments Preferred - Experience in industrial, manufacturing, operational technology, asset-heavy, or supply chain environments - Experience with AI/ML products, workflow automation, predictive analytics, or agentic AI systems - Experience with hardware/software platforms, sensors, IoT, or edge technologies - Experience partnering with strategic customers or Design Partners to develop new offerings Why Join Augury You’ll help shape the future of Industrial AI and build products that transform how manufacturers operate. This is an opportunity to work on meaningful technical challenges, partner with world-class teams, and deliver products that impact some of the world’s largest industrial organizations. We offer several perks that include flexible PTO, medical/dental/vision insurance, 401(k) match, stock options, paid parental leave, and WFH and phone stipend. The pay range for this position in Colorado California and New York City is $215,000 - $250,000. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. The pay offered may vary depending on several factors including, but not limited to, relevant education, qualifications, certifications, and experience. 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.

WHO WE ARE Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com. ABOUT THE ROLE We are seeking a Senior Product Manager to join our Identity product team at Zeta Global. You will own the Addressability pod — the team responsible for making Zeta's identity graph accessible to every product and service across the organization. This means building and evolving the real-time and batch resolution systems that power how Zeta connects people to signals, channels, and outcomes. Zeta's SuperGraph processes over 1 trillion signals per month across 245M+ identity clusters and 12+ countries. Your job is to ensure that every part of the business — CRM, programmatic advertising (DSP), HIRO, etc — can tap into this identity infrastructure through modern, well-integrated resolution systems. You'll drive adoption of the Zeta identity spine across all business units, including onboarding future acquisitions, and you'll champion visibility into identity coverage through dashboards and tooling that help teams find and act on opportunities to improve match rates. This is an individual contributor role, but the scope is inherently cross-organizational. You'll work across every major business unit and engineering pod at Zeta, which requires strong skills in influencing without authority, building alignment across diverse stakeholders, and coordinating large-scale technical migrations. WHAT SUCCESS LOOKS LIKE In your first year, you will have driven adoption of the Zeta identity spine to 100% of the business, with every major system integrated. You will have built dashboards across all major platforms that give business unit leaders clear visibility into identity coverage, match rates, and actionable opportunities for improvement. The teams you work with will trust you as the go-to person for how identity works at Zeta — and how to make it work better. - Someone who is energized by complex, cross-cutting infrastructure problems — the kind of work where the product isn't a UI, it's the system that makes every other product better. - A collaborative operator who builds trust across teams, navigates ambiguity with confidence, and drives alignment through clarity rather than hierarchy. - A continuous learner who stays curious about identity, privacy, and data infrastructure — and who brings that curiosity to every product decision. - Someone who takes ownership of outcomes, not just outputs — and who measures success by the adoption and impact of what they ship, not just whether it shipped. RESPONSIBILITIES - Define and drive the product roadmap for Zeta's addressability systems, including real-time resolution services and batch identity resolution infrastructure. - Partner closely with engineering to design, build, and ship identity resolution capabilities that serve the needs of all Zeta business units. - Drive org-wide adoption of the Zeta identity spine (ZID), working with CRM, programmatic, Publisher Cloud (HIRO), Email Exchange, and Data Cloud teams to integrate identity resolution into their products and workflows. - Own the migration of legacy identity systems to modern architectures, coordinating across multiple engineering pods and business stakeholders to ensure smooth rollouts. - Build and maintain strong working relationships with product managers, engineering leads, and business unit leaders across the organization, influencing priorities and aligning on shared goals. - Define success metrics and build visibility into identity coverage — designing dashboards and reporting that surface match rates, resolution quality, and opportunities for improvement across all major systems. - Translate complex identity and data infrastructure concepts into clear product requirements, user stories, and stakeholder communications. - Use data to inform prioritization, measure the impact of identity improvements on downstream business outcomes, and identify gaps in coverage. REQUIREMENTS - 6+ years of experience in product management, with meaningful exposure to data platforms, identity systems, or ad tech infrastructure. - Strong technical depth — comfort with concepts like identity graphs, entity resolution, data pipelines, and distributed systems. You don't need to write production code, but you should be able to read a SQL query, review an architecture document, and engage credibly with engineers on system design. - Experience driving cross-functional initiatives that span multiple teams or business units, with a track record of influencing without direct authority. - Clear, structured communication skills — the ability to translate between technical and business audiences and to build alignment across stakeholders with different priorities. - Familiarity with data warehousing technologies (e.g., Snowflake, Spark, Airflow) or similar data infrastructure. - Occasional flexibility to work outside standard business hours, including some evening availability, will be required to support collaboration across US time zones. PREFERRED SKILLS - Experience in ad tech, MarTech, or identity resolution — particularly with identity graphs, cross-device linking, audience resolution, or programmatic advertising infrastructure. - Familiarity with privacy-first identity strategies, including cookieless resolution, first-party data approaches, or privacy regulations (GDPR, GPP). - SQL fluency and comfort working with large-scale datasets to investigate product questions, validate hypotheses, or define metrics. - Experience with agile development practices and tools such as Jira and Confluence. BENEFITS & PERKS - Excellent medical coverage PEOPLE & CULTURE AT ZETA Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression. We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here: https://zetaglobal.com/blog/a-look-into-zetas-ergs/ ZETA IN THE NEWS! https://zetaglobal.com/press/?cat=press-releases

• Own the roadmap for worker deployment options, including self-hosted and serverless execution models • Lead worker versioning initiatives to enable safe, zero-downtime code deployments with excellent developer experience • Evolve the Temporal Worker Controller for Kubernetes to provide worker management capabilities to the Kubernetes ecosystem • Define the path for serverless worker execution, removing infrastructure management from the developer experience entirely • Partner with engineering to improve worker tuning, resource efficiency, and scaling behavior across diverse compute environments • Collaborate with customers and community to understand worker deployment pain points and validate solution directions