Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Team: Value Engineering is responsible for our largest Fortune 500 customers and owns their transformation journey by working on the very frontier of what’s possible with data and AI on the Celonis Platform. Partnering closely with the Sales team, Value Engineering is responsible for ensuring that the Celonis Platform is deployed to tackle the most strategic business challenges, fits into the right place in our customers’ technology stack and most importantly generates strong ROI through deep and broad deployments. The Role: As a Senior Value Engineer, you will spearhead AI and data-driven business transformation within the Public sector by contributing to your customer’s end-to-end value journey using the Celonis Context Model. Working alongside Lead and Principal VEs, you will combine technical execution with consulting and project management. As an AI-fluent operator, your core mandate is to orchestrate complex roadmaps and execute targeted transformation initiatives that improve how these businesses operate across their core ecosystems. The work you’ll do: Value Selling & Realization: Uncover the real issues by peeling back layers of organizational complexity. Own the Outcome from first discovery through realized
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About Ema Ema builds AI Employees for HR, IT and Finance. Our AI Employees take on the busy work across the employee experience, from recruiting, onboarding and benefits to IT support, invoice processing and payroll, so people can spend their time on work that needs them. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Creaegis, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production. We ship real systems that run real business processes at scale. Role Overview & Key Responsibilities This is a high-leverage leadership role that spans architecture, execution, and org-building, and will shape the direction of our AI / ML initiatives at Ema. We are seeking an AI / ML technical leader who can take a vision and build it. As a Principal ML Engineer at Ema, you will be a senior technical leader responsible for shaping the machine learning roadmap, architecting large-scale ML systems, driving innovation, and ensuring our mixture of expert models (LLM + SLM + Custom Model) is accurate and performant at scale. You will collaborate across teams (research, product, infra, data, etc.), mentor senior engineers, and influence strategy and execution at company-wide levels. Responsibilities Lead the technical direction of GenAI and agentic ML systems that power enterprise-grade AI agents — spanning reasoning, retrieval, tool use, and integrations across various SaaS products. Architect, design, and implement scalable production pipelines for model training, fine-tuning, retrieval (RAG), agent orchestration, and evaluation — ensuring robustness, latency efficiency, and continuous learning. Define and own the mult
About the Team OpenAI's research training infrastructure powers how our frontier models are trained and evaluated. The Simulation team sits at the intersection between the agentic harness that powers OpenAI's products and the research infrastructure where GPT-next is trained, ensuring that our model's training environment is as realistic as possible. This team owns the integration layer that connects our production harness capabilities into the training stack. The work is highly cross-functional and high leverage: researchers depend on it to run experiments and evaluations reliably as well as to develop the next generation of harness capabilities. Failures in this surface can materially affect training velocity and correctness. About the Role We're looking for a Principal Software Engineer to lead the architecture and evolution of the Simulation Platform. You'll own a critical interface between research and engineering, building the systems, APIs, and operational patterns that let researchers use agentic coding infrastructure safely and effectively in training environments. This role is ideal for a senior backend or infrastructure engineer with strong technical judgment, product sense for highly technical users, and the ability to drive execution across multiple teams. The highest-leverage work is building robust infrastructure that supports and accelerates research without compromising engineering quality. In this role, you will Design, build, and evolve the integration between the Codex harness that powers OpenAI's products and research training infrastructure used for training GPT-next Build a platform for our LLMs to train and be evaluated in simulated environments that mimic their deployment setting as closely as possible, on every axis: agentic harness, compute substrate, timing, tools, data sources, humans in the loop, and more Own major integration surfaces end-to-end, from architecture and API design through rollout, operations, and long-term maintenance Bu
Leite die Transformation im Core Banking, indem Du Zielbilder definierst, die Umsetzung gestaltest und Senior-Stakeholder aufeinander abstimmst. Deine Rolle Als Principal Consultant – Business Analyst im Bereich Core Banking übernimmst Du die Leitung von Anforderungsanalyse und Prozessdesign in komplexen Transformationsprogrammen führender Finanzinstitute. Du verbindest tiefgehende Core-Banking-Expertise mit ausgeprägter Beratungskompetenz, um Zielarchitekturen zu definieren, Umsetzungsentscheidungen zu steuern und Führungskräfte auf Kundenseite durch umfassende Veränderungsprozesse zu begleiten. Diese Rolle erfordert sowohl strategisches Denken als auch hohe Umsetzungskompetenz. Deine Aufgaben Leitung der Business-Analyse in komplexen Initiativen rund um Core-Banking-Transformation, Produktmodernisierung und Operating-Model-Neugestaltung Definition von Vorgehensweisen für Anforderungen, Zielprozessen und funktionalem Umfang über mehrere Business- und Technologie-Streams hinweg Moderation von Workshops mit Senior-Stakeholdern zur Abstimmung von Designentscheidungen, Priorisierung und Umsetzungsplanung Führung und Qualitätssicherung von BA-Teams zur Sicherstellung konsistenter Dokumentation, Nachverfolgbarkeit und Umsetzungsreife Beitrag zu Beratungsprojekten durch Lösungsentwicklung, Kundenbeziehungsmanagement und Weiterentwicklung von Angeboten Dein Profil Langjährige Erfahrung in Business Analyse, Beratung oder Transformation im Bankenumfeld mit starkem Fokus auf Core Banking Tiefgehendes Verständnis von Core-Banking-Produkten, Prozessen und Plattformkonzepten (Einlagen, Kreditgeschäft, Kundenservice, Produktkonfiguration) Erfahrung in der Zusammenarbeit mit internationalen und funktionsübergreifenden Teams in einem globalen Umfeld Hohe Eigeninitiative sowie eine selbstständige und proaktive Arbeitsweise Erfahrung in der Leitung von Analyse-Workstreams in großen Transformationsprogrammen (z. B. Softwareauswahl, Plattformimplementierung oder Migration) Fähig
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Team: Value Engineering is responsible for our largest Fortune 500 customers and owns their transformation journey by working on the very frontier of what’s possible with data and AI on the Celons Platform. Partnering closely with the Sales team, Value Engineering is responsible for ensuring that the Celonis Platform is deployed to tackle the most strategic business challenges, fits into the right place in our customers’ technology stack and most importantly generates strong ROI through deep and broad deployments. The Role: As a Principal Value Engineer, you are a visionary leader and industry authority spearheading global AI and data-driven business transformations for major organisations, driving the customer’s end-to-end value journey. Operating as the expert technology and business advisor, you will partner directly with Fortune500 CxOs and Board members to reimagine their operating models and optimize critical workflows using the Celonis Context Model. As the AI strategist and thought leader, working alongside Senior and Lead Value Engineers, your core mandate is to design, negotiate, and steer monumental, multi-year programs that permanently alter the competitive landscape for your customers. The work you’ll do: Value Sell
Leite strategische Transformationen im Kreditgeschäft, indem Du Anforderungen, Zielprozesse und Stakeholder-Abstimmung auf höchstem Niveau gestaltest. Deine Rolle Als Principal Consultant – Business Analyst im Bereich Credit & Capital Management übernimmst Du die Leitung des Analyse-Workstreams in großen Transformationsprogrammen für internationale Bankkunden. Du verbindest fundierte fachliche Expertise mit Beratungsstärke, um Lösungsansätze zu definieren, bestehende Prozesse kritisch zu hinterfragen und Konsens auf Senior-Stakeholder-Ebene herzustellen. Diese Rolle eignet sich für erfahrene Fachkräfte, die sowohl strategisch als auch in der Umsetzung agieren. Deine Aufgaben Leitung der Business-Analyse in komplexen Initiativen rund um Kreditprozess-Transformation, Kapitaloptimierung und Operating Model Veränderungen Verantwortung für Anforderungsstrategie, Zielprozessdesign und Nachverfolgbarkeit über Business-, Risiko-, Operations-, Daten- und Technologieteams hinweg Moderation von Workshops mit Senior-Stakeholdern zur Priorisierung, Klärung von Anforderungen und Abstimmung von Umsetzungsentscheidungen Sicherstellung von Qualitätsstandards sowie Coaching von Business-Analysten zur Gewährleistung konsistenter Ergebnisse und Deliverables Beitrag zur Gesamtprojektumsetzung durch Lösungsdesign, Stakeholder-Management und fachliche Impulse im Bereich Kredittransformation Dein Profil Langjährige Erfahrung in Business Analyse, Beratung oder Transformationsrollen im Finanzdienstleistungsumfeld mit starkem Fokus auf Kredit- und Kapitalmanagement Tiefgehendes Verständnis von Kreditprozessen (Origination, Underwriting, Genehmigung, Betreuung, Problemkreditmanagement und regulatorisches Reporting) Fundierte Kenntnisse in Kapitalmanagement und regulatorischen Themen wie Basel, RWA, Risikovorsorge oder Stresstests Nachgewiesene Erfahrung in der Leitung von Analyse-Workstreams in groß angelegten Transformationsprogrammen sowie in der Zusammenarbeit mit Senior-Stakehol
A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role As a Senior Identity Security Engineer on Palantir's Identity Security team, you will own the security posture of the identity infrastructure that Palantirians, customers, and services rely on every day. The Identity Security team is responsible for all identity types at Palantir - workforce, customer, workload, and agentic - giving you the rare ability to architect, threat model, and drive security outcomes across the full identity surface. You will help shape the technical direction for identity security at Palantir, reduce standing access, lead identity threat modeling, and contribute to the next generation of identity primitives including agent identity, JIT-native governance, and unified policy enforcement across workforce and customer IAM. As part of Palantir's best-in-class Information Security organization, you will research, architect, and scale solutions that help Palantir stay ahead of a dynamic identity threat landscape. Core Responsibilities Own the day-to-day identity security posture across corporate, production, customer, and US Government identity planes Drive the rollout of agent identity infrastructure - short-lived credentials, lifecycle bound to a human principal, controlled workload onboarding Architect authentication, federation, and authorization systems - including SAML, OIDC, and policy-driven access control models (RBAC, ABAC, policy-as-code) - across workforce and workload identity Scale non-human identity patterns across service, workload, and agent populations - short-lived credentials, mTLS, identity-based networking Drive adoption of just-in-time access patterns across the identi
A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role As a Senior Identity Security Engineer on Palantir's Identity Security team, you will own the security posture of the identity infrastructure that Palantirians, customers, and services rely on every day. The Identity Security team is responsible for all identity types at Palantir - workforce, customer, workload, and agentic - giving you the rare ability to architect, threat model, and drive security outcomes across the full identity surface. You will help shape the technical direction for identity security at Palantir, reduce standing access, lead identity threat modeling, and contribute to the next generation of identity primitives including agent identity, JIT-native governance, and unified policy enforcement across workforce and customer IAM. As part of Palantir's best-in-class Information Security organization, you will research, architect, and scale solutions that help Palantir stay ahead of a dynamic identity threat landscape. Core Responsibilities Own the day-to-day identity security posture across corporate, production, customer, and US Government identity planes Drive the rollout of agent identity infrastructure - short-lived credentials, lifecycle bound to a human principal, controlled workload onboarding Architect authentication, federation, and authorization systems - including SAML, OIDC, and policy-driven access control models (RBAC, ABAC, policy-as-code) - across workforce and workload identity Scale non-human identity patterns across service, workload, and agent populations - short-lived credentials, mTLS, identity-based networking Drive adoption of just-in-time access patterns across the identi
A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role As a Senior Identity Security Engineer on Palantir's Identity Security team, you will own the security posture of the identity infrastructure that Palantirians, customers, and services rely on every day. The Identity Security team is responsible for all identity types at Palantir - workforce, customer, workload, and agentic - giving you the rare ability to architect, threat model, and drive security outcomes across the full identity surface. You will help shape the technical direction for identity security at Palantir, reduce standing access, lead identity threat modeling, and contribute to the next generation of identity primitives including agent identity, JIT-native governance, and unified policy enforcement across workforce and customer IAM. As part of Palantir's best-in-class Information Security organization, you will research, architect, and scale solutions that help Palantir stay ahead of a dynamic identity threat landscape. Core Responsibilities Own the day-to-day identity security posture across corporate, production, customer, and US Government identity planes Drive the rollout of agent identity infrastructure - short-lived credentials, lifecycle bound to a human principal, controlled workload onboarding Architect authentication, federation, and authorization systems - including SAML, OIDC, and policy-driven access control models (RBAC, ABAC, policy-as-code) - across workforce and workload identity Scale non-human identity patterns across service, workload, and agent populations - short-lived credentials, mTLS, identity-based networking Drive adoption of just-in-time access patterns across the identi
Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. The Senior People Technology Solutions Lead is a senior individual contributor responsible for advancing the technology capabilities that support SIE's global People organization. Grounded in People Technology and enterprise HR systems, this role combines a strong understanding of HR processes, platforms, data, integrations, and employee experiences with expertise in emerging technologies such as generative AI, AI agents, agentic orchestration, APIs, Model Context Protocol (MCP), automation, and AI-assisted development. Reporting to the Senior Director of People Technology Services, this role serves as a technical practice lead for innovation within PTS. The Principal Platform Engineer works across HRIS, integrations, reporting and analytics, service delivery, and other People Technology areas to identify opportunities, establish technical direction, develop use cases, and turn emerging capabilities into practical solutions. Success requires strong partnership across organizational boundaries. The role works closely with People & Places as PTS's key business stakeholder, understanding priorities and identifying opportunities where technology can improve employee experience, service delivery, efficiency, and insight. At the same time,
Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. The Talent Acquisition team is evolving into an AI-enabled, intelligence-driven talent advisory organization. We partner with business leaders, HRBPs, and TA Operations to attract and secure top talent using data, market intelligence, and AI-augmented workflows. The Principal Recruiter is a senior individual contributor in enterprise recruiting. This role solves cross-organizational and enterprise-critical talent problems through scalable mechanisms and governance. The Principal Recruiter may carry a selective requisition load of niche roles, lead significant cross-functional programs (e.g., University Recruiting, New Talent Programs), or a blend of both. The Principal Recruiter identifies patterns across executive and accountability levels, designs durable talent acquisition solutions that persist without personal involvement, and co-architects AI-enabled capabilities with TA Operations. This role doesn't directly manage people; it manages outcomes at scale. Success is measured by hiring outcomes, program impact, system-level improvement, AI adoption consistency, operating model quality, and the adaptability of cross-organizational solutions. Responsibilities: Enterprise Talent Strategy & Executive Advisory: Synthesize market intelligence, competitive data, and workforce analytics to advise senior leadership on enterprise hiring strategy, market risks and long-term workforce implications. Identify systemic talent patterns and risks requiring executive-level response. Engage and provide TA so
The Platform organization at Asana builds the services and shared experiences that every Asana product runs on. That starts with the Work Graph, where our customers' work lives, and the APIs that let people and AI agents act on it. It extends to the events and reporting systems built on the graph, to the extensibility layer that connects Asana to the tools and agents our customers use, and to new shared experiences that are used by all Asana’s customers. We are looking for a Principal Software Engineer to be the senior technical leader of this organization. You will own the architecture that Asana's products and customers build on, and drive the initiatives too large or too risky for any one team to carry. You will work with Asana's most senior leaders to connect engineering plans to business outcomes, and shape where the platform takes the company next. This role is based in our New York office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you'll achieve Set technical direction across Asana's platform, from the Work Graph and its data model to the ecosystem of APIs and shared experiences that products, integrations, and agents build on Partner across the R&D organization, Security, and Legal to drive a portfolio of high-stakes, long-term initiatives that create leverage in how we build Set the bar for good platform design, including interface design, separation of concerns, and reliability and functional guarantees Make the high-stakes calls on build versus buy, on vendors, and on how to replatform without stopping product delivery, and make sure those decisions age well Bring a grounded view of the industry, and of how AI agen
Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 122,000 colleagues serve people in more than 160 countries. JOB DESCRIPTION: Position Overview The Principal Data Engineer (IC) is a senior individual contributor and the accountable technical leader for assigned cross-domain initiatives and enterprise data engineering capabilities. The role owns integrated technical direction and technical outcomes for work spanning multiple data domains, defines and stewards enterprise engineering standards and reference architectures, and drives convergence where duplicated or inconsistent solutions create enterprise cost, risk, or operational burden. The role advises on scope, sequencing, capacity, dependencies, and technical debt, but does not independently commit domain resources or business delivery dates. This position has no people-management responsibility. Enterprise Data operates a domain-aligned model built on Databricks and Unity Catalog. Working with Domain Leaders, Staff Engineers, Platform Engineering, and partner organizations, the role converts ambiguous enterprise needs into executable architecture and carries the most complex or highest-risk work through validation and production. The role remains hands-on through prototyping, reference implementations, critical-path development, design and code review, and production problem solving. This role is based in Madison, WI. Essential Duties Include, but are not limited to, the following: Cross-domain technical leadership and delivery Own the technical outcome of assigned cross-domain initiatives from initial ambigu
About the Team DoorDash is building the next generation of causal decisioning systems for New Verticals: grocery, convenience, retail, alcohol, pets, flowers, and other emerging categories. These businesses operate in high-dimensional, dynamic marketplaces where every consumer, merchant, item, promotion, substitution, search result, and delivery promise creates a causal question. We are hiring a Principal Machine Learning Engineer to lead the Causal ML pod and establish the technical foundation for company-level causal decisioning. This is a senior technical leadership role for a practitioner who has built consequential causal systems in production and can turn ambiguous business questions into a coherent measurement and decision platform. A central mandate is to define and build a durable company-level causal value metric: a trusted, long-term signal that estimates the incremental value created by product, growth, and marketplace actions. The metric will connect experiments, observational evidence, and production ML so leaders and product teams can compare investments on a common basis while protecting customer experience and marketplace health. About the Role You will set the multi-year technical direction for causal ML, lead the pod’s portfolio and operating model, and remain close to the hardest modeling and systems work. You will be accountable for both scientific credibility and production impact. You’re excited about this opportunity because you will… Lead the Causal ML pod across technical strategy, architecture, execution, and quality. Create a roadmap that joins foundational platform work with high-value product applications. Define the company-level causal value metric and its measurement framework, including the target construct, time horizon, component outcomes, identification strategy, calibration, uncertainty, and guardrails. Build the metric into a decision system that teams can use for product prioritization, experiment readouts, intervention select
Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We're looking for a Principal Product Manager to lead the strategy and roadmap for Elastic's embedding/reranking and vector database and related capabilities. In this senior role, you'll be the go-to expert on search/vector search, guiding the direction for technologies like vector indexing and hybrid retrieval. This position offers the chance to shape a vital part of our product, working closely with engineering and research teams to ensure that our offerings meet the needs of numerous organizations while keeping pace with the evolving landscape of AI. What You Will Be Doing Conduct market research to uncover emerging trends in search/vector databases as well as SOTA model research in emerging areas to manage unstructured data, working alongside our model team. Evaluate the competitive landscape to enhance product positioning and develop user personas that guide feature decisions. Collaborate with cross-functional teams to align the product strategy with business goals while prioritizing features based on customer feedback and market demands. Establish long-term product goals and milestones for the vector use cases, document AI and unstructured data management to drive its development. Prioritize features and enhancements based on user feedback and technical feasibility. Allocate resources skillfully to ensure timely updates, wh
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