AI Deployment Manager
As an AI Deployment Manager, you will lead end-to-end AI deployments from kickoff to successful launch, owning project planning, timelines, execution, and delivery across customer implementations. You will act as a trusted partner to customers, helping translate business goals into successful AI deployments. You will deploy and operationalize AI models across Cresta's platform in partnership with internal teams, including rules-based models, summarization, generative knowledge assistance, and more. You will drive value realization, ensuring deployments deliver measurable results rather than just go-live dates. You will guide customers confidently through every phase of deployment, keeping momentum high and stakeholders aligned. You will collaborate closely with Solutions Engineering, Product, Customer Success, and Engineering teams. Additionally, you will anticipate risks, solve problems, and keep complex initiatives moving forward.
Manager, Forward Deployed Engineering
Lead and grow a team of Forward Deployed Engineers (FDE) delivering production systems with frontier models. Own end-to-end delivery outcomes through clarity, speed, tight coordination, and technical quality. Codify successful practices into tools, playbooks, and roadmap inputs to create leverage for OpenAI and the wider developer community. Identify early indicators in product behavior, customer environments, or delivery practices and raise them with urgency. Use judgment to distinguish which issues require action. Set a high performance bar for FDEs and support each person's growth through direct, actionable feedback. Define staffing and support models for field teams that can scale without added complexity.
Infrastructure Engineer
Help users discover and master the Dataiku platform through user training, office hours, demos, and ongoing consultative support. Analyse and investigate various kinds of data and machine learning applications across industries and use cases. Provide strategic input to the customer and account teams that help our customers achieve success. Scope and co-develop production-level data science projects with our customers. Mentor and help educate data scientists and other customer team members to aid in career development and growth.
Manager, Delivery Excellence
The AI Outcomes Manager partners with executive sponsors and end users to identify high-impact use cases and convert them into measurable business outcomes using Glean. They lead strategic reviews and advise customers on their AI roadmap to maximize platform value. Responsibilities include translating business needs into problem statements, success metrics, and practical AI solutions, collaborating with Product and R&D to influence priorities. They conduct discovery workshops, scope pilots, guide rollouts, and drive broad adoption of the Glean platform. The manager designs and builds AI agents for customers, redesigning business processes for effectiveness and usability, proactively identifying opportunities for expansion and engagement across teams and functions.
Senior Product Operations Manager, Evaluation
Build and scale the systems that power model and product evaluations across Harvey. Embed evaluation workflows and readiness checkpoints into the product development lifecycle. Create the single source of truth for evaluation status, results, history, and launch readiness. Turn expert-designed evaluation methodologies into scalable, repeatable operational processes. Manage relationships with human data vendors and ensure evaluation quality meets legal standards. Work with Engineering and Research to improve evaluation tooling, automation, and dashboards. Drive evaluation readiness for major product and model launches across geographies and jurisdictions. Document and operationalize evaluation governance as complexity increases. Help define how Harvey ensures model accuracy, reliability, and trust at global scale.
Sr. Technical Program Manager, Website
As an Applied Research Scientist at Superhuman, you will develop state-of-the-art tools for correcting, improving, and enhancing written English using various NLP, ML, and DL technologies. You will productize and ship these features into Superhuman's product offerings used daily by millions of users, stay up-to-date with the latest research trends that could improve the product, contribute to the research strategy and technical culture of the company, and help attract professionals in the industry to build a best-in-class research team focused on creating a state-of-the-art writing and communication assistant.
Strategist, Agent Development
As a member of the Agent Strategist function at Sierra, the role involves partnering with Agent Product Managers and Agent Engineers to scope, build, and ship AI agents that manage thousands of customer conversations daily. Responsibilities include building, designing, and refining conversational AI agents, driving execution and delivery of complex, high-visibility agent development projects, and coordinating across technical and non-technical stakeholders throughout the full agent development lifecycle. The role requires ensuring clear communication among all stakeholders, developing strong relationships, and contributing data-driven, strategic insights to customers and internal team decisions. Additionally, the strategist acts as a trusted advisor to customers, helping to drive their AI strategies.
Technical Program Manager, Trustworthy AI
Drive interdisciplinary programs for Trustworthy AI at OpenAI, focusing on building partnerships with external academic and research partners. Manage assurance programs such as third-party assessments, translate external research into actionable recommendations, and coordinate progress across multiple teams.
Program Manager, Maritime
The Program Manager oversees the lifecycle of corporate acquisitions from due diligence through integration, working with cross-functional teams to ensure successful implementation. They manage program timelines, define and improve processes, facilitate communication, and address risks to ensure smooth acquisition transitions.
Manager, AI & Automations Engineering
Define and execute the enterprise automation and AI strategy, combining hands-on technical contributions with leadership of cross-functional initiatives. Own architecture and technical oversight for resilient, observable automation frameworks and AI-enabled workflows; provide hands-on guidance in tools such as Workato, Glean, and AI model integration, focusing on scalability and governance. Lead enterprise integrations across various systems with an emphasis on data quality, reusability, and automation of business and analytics workflows. Operationalize AI use cases including knowledge retrieval, intelligent triage, automated approvals, and autonomous and prompted user workflows across applications, platforms, and AI tools. Establish governance and standards for design, testing, monitoring/observability, and documentation, ensuring adherence to security, data governance, and compliance practices. Engage and influence stakeholders and executives to shape priorities and drive adoption of AI-driven capabilities across functions. Hire, mentor, and retain top talent in automation engineering, analysis, and architecture, promoting a culture of innovation, excellence, and accountability.
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