Oversee execution of a highly complex AI-enablement program, collaborating with stakeholders to integrate AI into design, research, writing, and operational workflows.
Synthesize complex technical and business challenges into clear strategies and actionable plans that drive customer value and efficiencies.
Ensure transparency and stakeholder alignment through clear communication of program status, risks, and resourcing choices to technical, business, and executive audiences.
ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®.
Build and develop relationships with senior executives in business and IT.
Identify critical needs of customers and mapping appropriate resources cross-functionally.
Lead the new customer onboarding program and work with core Snorkel AI technical teams.
Snorkel AI helps enterprises transform expert knowledge into specialized AI at scale. They are on a mission to democratize AI by building the definitive AI data development platform.
Design, build, and optimize high-performance systems in Python supporting AI data pipelines and evaluation workflows.
Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control.
Improve reliability, performance, and safety across existing Python codebases.
Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. They work on real production systems and high-impact research workflows across data, tooling, and infrastructure.
Work on key strategic projects for ServiceNow, driving actionable recommendations and results.
Help drive the operational cadence of various businesses and functions.
Develop project scopes and objectives, involving all relevant stakeholders.
ServiceNow is a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Their intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations for better work. The company embraces a fast-paced, collaborative, and innovative high-growth environment.
Design, build, and optimize high-performance systems in Python supporting AI data pipelines and evaluation workflows
Develop full-stack tooling and backend services for large-scale data annotation , validation, and quality control
Improve reliability, performance, and safety across existing Python codebases
Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. They work on real production systems and high-impact research workflows across data, tooling, and infrastructure.
Set client QA strategies and adapt to scope/volume changes.
Run root-cause analyses; drive CAPA plans with owners, timelines, and effectiveness checks.
Plan training & certification for raters/annotators and coordinators; track completion and impact.
Welo Data provides high-quality, ethically sourced, relevant, diverse, and scalable datasets to technology companies to supercharge their AI models. As a Welocalize brand, WeloData leverages over 25 years of experience and brings together a curated global community of over 500,000 AI training and domain experts.
Drive the vision and execution of customer-facing SaaS products, data-driven features, and AI/ML solutions. Translate deep technical capabilities from data science and engineering into clear, quantifiable business value. Work directly with key clients to co-develop innovative solutions.
WorkWave provides creative solutions that directly contribute to the success of their customers and builds strong partnerships based on trust.
Set program quality goals, roadmap, and operating rhythms.
Manage a team of Analysts and Coordinators; hire, coach, and run performance cycles.
Co-own client governance with Ops; align on scope, priorities, and changes.
Welo Data provides high-quality, ethically sourced, relevant, diverse, and scalable datasets to technology companies to supercharge their AI models. As a Welocalize brand, they bring together a global community of over 500,000 AI training and domain experts.
Act as a trusted advisor to customers, building relationships with technical and business stakeholders.
Advise on GenAI and ML best practices and give product demos to stakeholders.
Partner with product and engineering teams to drive the product roadmap and spearhead new opportunities within existing accounts.
Arize AI is the leading AI & Agent Engineering observability and evaluation platform, empowering AI engineers to ship high-performing, reliable agents and applications.
Identify and prioritize opportunities to apply agentic AI and workflow automation across business functions.
Partner with teams to map current processes and reimagine them through AI-enhanced workflows.
Implement and customize autonomous agent platforms and orchestration tools (without needing to build models from scratch).
MedeAnalytics is an innovation-focused company that has been working to reimagine healthcare through data for three decades. They leverage AI and data to deliver actionable insights to support payers, providers, employers, and public entities navigating healthcare.
Collaborate with Sales, Pre-sales, Marketing, and Engineering teams to align business needs with innovative GTM system solutions, fostering data-driven decision-making. Manage end-to-end project lifecycles for AI Initiatives, from concept and BRD creation to successful implementation and stakeholder alignment. Perform in-depth data analysis to identify trends and opportunities across GTM systems and develop and present compelling reports and dashboards.
Zscaler accelerates digital transformation so our customers can be more agile, efficient, resilient, and secure.
Lead enterprise-scale AI transformation programs for top-tier clients. Work directly with Business executives, Architects, Data/AI teams. Shape and execute AI initiatives end-to-end.
Lead the development and enhancement of AI-powered products. Collaborate with engineering, data science, and business teams. Shape feature roadmaps and ensure high-quality delivery.
This position is posted by Jobgether on behalf of a partner company; Jobgether uses an AI-powered matching process to ensure applications are reviewed fairly.
Define the vision and feature set for our internal Robotics Data Platform.
Act as the Product Owner for a dedicated team of software engineers.
Participating in discussions with leading robotics labs and foundation model builders.
Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Recognized by Forbes, The Information, and Fast Company among the world’s top innovators, Turing’s leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT.
Design, build, and optimize high-performance systems in Python supporting AI data pipelines and evaluation workflows
Develop full-stack tooling and backend services for large-scale data annotation , validation, and quality control
Improve reliability, performance, and safety across existing Python codebases
Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. They work on real production systems and high-impact research workflows across data, tooling, and infrastructure.
Define and prioritize product roadmaps and user stories.
Collaborate with engineering and design teams to prototype, test, and deploy AI product capabilities.
Develop product marketing assets, including messaging, demos, and screencasts to drive adoption.
They are a company using an AI-powered matching process to ensure job applications are reviewed quickly and fairly. They identify top-fitting candidates to share with hiring companies who manage the final hiring decisions.
Design complex LLM prompts that accurately represent real customer journeys and service interactions.
Partner with Field Engineers to transform raw data into structured, high-quality tasks for model training.
Annotate and review tasks to ensure strict quality standards and alignment with expected customer outcomes.
Welo Data works with technology companies to provide datasets that are high-quality, ethically sourced, relevant, diverse, and scalable to supercharge their AI models.