Sr Manager, Solutions Engineering

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. ABOUT OKTA At Okta, our mission is to enable any organization to use any technology, making the world a more secure and connected place. We are the leading independent provider of identity for the enterprise. We work with an incredible array of customers, from the largest enterprises to the most innovative startups, to help them securely connect their people to technology. As we enter a new phase of growth, our AI and data capabilities will be a critical pillar of our success, powering secure and scalable products that serve both our customers and employees. THE OPPORTUNITY Okta is seeking a Principal Data Engineer to be the technical visionary for our internal data platform that supports our internal AI use cases with AI ready data. Reporting to the Sr Manager of Enterprise Data Platform, this role is responsible for turning the data product vision into a secure, scalable, and elegant technical reality. You will own the "how"—the technical strategy, implementation, and scalability that brings our AI and data product roadmap to life. This role requires a technical leader who can balance today’s execution with building a durable foundation for the future. You will own the technical standards for engineering excellence, security, and governance, ensuring our core data platform is trusted and ready to power the next generation of AI-powered products and decision-making at Okta. WHAT YOU’LL DO * Own the technical strategy and implementation for the company's AI data platform, translating product requirements into a concrete technical vision centered on Snowflake, AWS, dbt. * Design and implement a robust security and governance framework as a core pillar of the platform, ensuring our high-compliance, high-security standards are met. * Build automated solutions for data classification, access control, and vulnerability management (Nessus/Qualys), ensuring data is secure and trusted for AI consumption. * Implement and manage the strategy for infrastructure as code (Terraform) and CI/CD (GitHub/GitLab) to ensure secure, reproducible, and auditable deployments. * Set the bar for engineering excellence, driving best practices in code quality, system design, and operational readiness. * Serve as an engineering partner to the Principal Product Manager, providing technical feasibility, scoping, and architectural guidance. * Communicate technical vision, strategy, and trade-offs clearly to senior leadership and cross-functional teams. * Collaborate with the AI, security, and analytics teams to ensure the data platform meets the complex needs of the entire business. WHAT YOU BRING * Experience: 10+ years of data engineering experience, with at least 5 years focused on architecting data platforms for data products, analytics, and/or AI-driven products. Experience with high-compliance/high-security regulated environments is a plus. * Technical Authority: Deep and recognized mastery of data platforms and architecture, including cloud applications like Snowflake, Databricks, and AWS. Expert-level understanding of data pipeline and orchestration tools like dbt, Airflow, Fivetran, and Terraform. * Security & Governance DNA: Deep expertise in designing and implementing technical frameworks for data governance, access control, and security within a modern data stack. * Cross-Functional Partnership: A proven track record of partnering successfully with product management and business leaders to translate vision into high-impact technical solutions. * Balance of Today vs. Tomorrow: Ability to deliver immediate, high-quality engineering solutions while building a scalable and maintainable foundation for future innovation. WHAT SUCCESS LOOKS LIKE * A secure, scalable, and elegantly designed AI data platform that serves as the trusted data foundation for the company. * Robust, automated data governance and security frameworks embedded into the platform's core architecture. * A well-architected and cost-optimized tech stack that accelerates development and reduces operational friction. * Elevated technical capabilities and engineering excellence across the team, driven by your mentorship and leadership.   #LI_Hybrid  P24713_3369501 The Okta Experience * Supporting Your Well-Being  * Driving Social Impact  * Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join:  Airbnb is scaling how Fraud & Safety operations are measured, governed, and optimized globally. As Senior Manager, Analytics – Fraud & Safety Investigations, you will lead a team of analysts supporting human enforcement systems across content moderation, fraud review, and safety operations. You will own how operational performance is measured and improved—translating complex enforcement workflows into scalable KPI frameworks, experimentation roadmaps, and decision systems. This role sits at the intersection of Operations, Policy, Product, and Engineering, ensuring that human enforcement is efficient, consistent, and aligned with platform safety goals. The Difference You Will Make: This is a high-impact leadership role focused on enabling fast, data-driven operational decisions at global scale. This role isn’t just about reporting what happened; it’s about building the systems that help Airbnb see around corners. You will democratize data access, build always-on scenario simulators for fraud and safety, and turn incident impacts into seamless signals for continuous improvement. Your insights and systems will empower every stakeholder—from legal to operations, policy to product—to make bold, data-driven, and context-aware decisions in real time. A Typical Day:  * Operational Analytics * Define and operationalize KPI frameworks for global Fraud & Safety operations (quality, accuracy, SLA, productivity, cost) * Build dashboards and reporting systems to monitor enforcement performance across regions, vendors, and workflows * Lead weekly/monthly business reviews, translating data into actionable insights for Ops, Policy, and leadership * Experimentation & Continuous Improvement * Design and lead experimentation (A/B testing, pilots) to improve enforcement quality, reviewer productivity, and user experience * Identify drivers of errors, escalations, and policy inconsistencies, and translate findings into process improvements * Partner with Ops and Policy to test and refine enforcement strategies (e.g., thresholds, escalation rules) * Workforce & Vendor Analytics * Partner with global operations and vendor teams to optimize staffing, capacity planning, and queue management * Analyze performance across 3P vendors and internal teams, ensuring SLA adherence and quality standards * Drive forecasting models to balance cost, coverage, and service levels across high-volume workflows * Cross-Functional Execution * Partner with Product and Engineering to translate operational insights into tooling and workflow improvements * Collaborate with Policy and Legal to ensure enforcement decisions are measurable, auditable, and compliant * Support high-severity incidents and “war room” analytics, providing real-time insights during escalations * Scaling Analytics & Decision Systems * Build self-service analytics tools enabling Ops leaders to monitor performance and run scenario analyses independently * Standardize metrics, taxonomies, and reporting across workflows to create a consistent “source of truth” for operations * Drive adoption of data-driven decision-making across global Trust & Safety teams Your Expertise: * 8+ years of experience in analytics, risk, or safety; 5+ years leading high-performing teams. * Proven ownership of large-scale data products or taxonomies in a regulated environment. * Experience supporting large-scale human operations (content moderation, fraud review, support, or risk ops) Strong SQL & data-modeling expertise; experimentation design, working knowledge of Python/R, ML pipelines. * Proven ability to: * Design KPI’s and operational metrics * Translate ambiguous problems into structured analytical frameworks * Influence cross-functional stakeholders (Ops, Product, Policy, Finance) * Drive measurable improvements in quality, efficiency, and cost * Skilled in incident impact scoping, post-incident analytics, and scenario planning or tabletop exercises—translating insights into systematic improvements. * Track record of enabling legal, policy, ops, product, and engineering teams to make independent, forward-facing, data-driven decisions via self-service  * Exceptional storyteller with a flair for making complex analytics actionable for every audience, and for championing transformation deep into the organization  Preferred Experience * Background in Trust & Safety, Integrity, Fraud, or Risk operations * Familiarity with real-time decision engines, and anomaly-detection frameworks * Experience leading hybrid teams (onsite/remote) and managing third-party analytics vendors  * Statistics or quantitative graduate degree (MS/PhD) * Experience with: * Workforce planning & forecasting * Experimentation platforms * Real-time operations analytics Your Location: This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list  If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from. Our Commitment To Inclusion & Belonging: Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.  We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application. How We'll Take Care of You: Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.   Pay Range $212,000—$265,000 USD