Top Tech Jobs & Startup Jobs

Configure and maintain OIPA for life and accident insurance products. Design complex transactions, integrations (AsFile, Real-time, Push, REST), develop technical design documents, perform gap analysis, lead and mentor configurators, conduct code reviews, and ensure defect rates remain low while aligning solutions with business requirements.

Lead development and maturation of an enterprise insider threat program by identifying critical assets, mapping identity-access relationships, analyzing behavioral and technical indicators, building detection logic, supporting complex investigations, tuning security tooling (SIEM/EDR/UEBA/DLP), and partnering with HR, Legal, Privacy, and business stakeholders for risk-informed monitoring and reporting.

Lead design and implementation of an investment control oversight program for the General Investment Account. Perform risk assessments, evaluate control design and effectiveness, conduct continuous monitoring and testing across front/middle/back-office investment processes, remediate gaps, drive process improvements and automation, and partner with stakeholders to embed controls in a future-state investment ecosystem. Present findings and recommendations to senior leadership and support audit and regulatory examinations.

Lead expense accounting operations including month-end close, journal entry review, reconciliations, and internal controls. Oversee subsidiary, fixed asset, and lease accounting, partner with cross-functional teams and auditors, and drive process improvement and automation while managing and developing a blended onshore/offshore team.

Independently validate and monitor machine learning models for credit underwriting, credit risk, and fraud detection. Identify model weaknesses, recommend improvements, and collaborate with model owners to remediate findings. Support and maintain the Model Risk Management framework and coordinate with Internal Audit, Internal Controls, and Compliance on audit and regulatory requests.

As a Machine Learning Engineer II, you will enhance AI systems for automating customer operations, develop evidence extraction pipelines, and collaborate with teams on model development and deployment.

Lead technical direction and delivery for Public Investments engineering across front-end, backend, and data platforms. Manage engineers, define architectures, enforce engineering standards (CI/CD, testing, observability), drive API and data integration quality, improve data warehouse reliability, and support production stability through incident response and preventative improvements. Collaborate with product, enterprise architecture, and stakeholders to align roadmaps and deliver secure, scalable solutions.

Design, build, and operate identity governance capabilities and Java-based IAM/IGA applications. Implement lifecycle management, access requests, RBAC, access reviews, and automation. Support production, audits, documentation, release planning, and on-call duties.

Build and operate scalable, secure cloud platform capabilities across AWS and Azure. Develop automation, CI/CD pipelines, infrastructure-as-code, container orchestration, and observability. Collaborate with engineering, security, and network teams to deliver standardized, self-service platform services and improve reliability and governance.

As a Business Analysis Manager, you'll develop strategies, manage analysts, lead marketing efforts, and drive credit risk improvements while collaborating across departments.

The role involves partnering with data scientists and engineers to develop machine learning models, evaluate model risk in fraud detection, and translate complex data insights into business goals.

The Senior Manager will lead cross-functional data analysis projects, manage teams, validate tools, and mentor junior staff while enhancing technical skills.

The Staff Machine Learning Engineer will lead the development of AI solutions, ensure project delivery, and manage technical teams while interfacing with customers. Responsibilities include designing data pipelines, overseeing machine learning model development, and facilitating customer engagement.

Own end-to-end partnerships with strategic Data & AI partners to position Celonis as the context layer for Enterprise AI. Architect AI ecosystems, drive AI-first sales with tier-one vendors, enable agentic workflows, co-innovate joint solutions, manage OEM account health and adoption, shape the AI product roadmap, and validate technical feasibility with Applied AI and Engineering teams.

Drive new-business sales into the U.S. Public Sector by prospecting, qualifying, and closing enterprise SaaS deals. Manage complex, multi-stakeholder sales cycles, present solutions and demos, and collaborate with value engineers, BDRs, partner managers, and consulting partners to land and expand high-value accounts.

Drive new business sales into U.S. public sector accounts for Celonis. Prospect, qualify, engage executives, present solutions/demos, manage complex sales cycles, collaborate with value engineers and partners, and close enterprise SaaS deals.

Design and develop primary and secondary flight structures and mechanisms for the Terran R rocket from concept through release. Create CAD models and drawings, perform packaging and tolerance analyses, integrate DFM choices with manufacturing, manage BOMs and configuration in PLM, and support fabrication and release activities using NX/Teamcenter.

Lead and grow the Stage Materials & Processes Engineering team to develop, qualify, and support materials and processes for Terran R stage systems. Collaborate across vehicle, manufacturing, NDE, quality, and supply chain teams; drive dispositions, risk mitigation, root-cause analysis, and corrective actions; manage budgeting and staffing; set technical and leadership standards.

Support corporate legal operations: maintain entity records and filings, manage board/stockholder documentation, assist financings and due diligence, administer equity plans, negotiate NDAs, support investor relations, and provide litigation administrative support.

The Security Engineer will develop a comprehensive security strategy for hybrid robotic deployments, focusing on data encryption, access control, and secure remote access, while ensuring compliance and auditing standards are met.

Lead full-cycle technical recruiting for engineering, data science, and product roles. Source and build pipelines using multi-channel and AI-enabled tools, refine interview frameworks and assessments, present recruiting metrics, manage offers, and partner with stakeholders to drive inclusive hiring and strong candidate experience.