Case Picker Jobs

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. The Okta Privileged Access Management (PAM) is an identity-centric approach to a common and critical privileged access use case. Our elegant Zero Trust architecture is purpose-built for the modern cloud and helps customers solve challenging security and operations pain points at scale. We're looking for a Staff level Platform Engineer to join a team of highly skilled and talented team players who are proud of what they own and deliver. We are a fast, collaborative, and adaptable team. Operating with a weekly release cycle and a high degree of individual ownership, we empower our engineers to take on challenging projects, work with cutting-edge technologies, and directly share in Okta's success through meaningful equity. What you’ll do Leverage cutting-edge AI pair-programmers and LLMs (such as Copilot and Claude) to accelerate the development of secure, enterprise-grade Privileged Access Management (PAM) products Act as a core contributor to Okta’s FedRAMP initiative Work with engineering teams to design, develop and deliver cloud-based infrastructure projects on a modern tech stack (Kubernetes/EKS, RDS, DynamoDB, Kinesis, MKS, Redis, OpenSearch, Docker, Terraform on AWS) Drive evaluation, development, and rollout of microservices Operate, support, and upgrade shared services and frameworks. Scale these as their usage invariably grows along with Okta's business Evaluate and scale existing systems to meet specialized requirements and suppo

Squarespace is looking for a Security Engineer with a focus on Investigations and Incident Response to join a dedicated team responsible for monitoring and responding to attacks on our platform. You'll partner with teams across the organization as you investigate security events specific to our platform and corporate environment. This is a hybrid role working from our Dublin office 3 days per week and you will report to the Detection and Response Manager. You’ll Get To… You will investigate security events through our SIEM and SOAR technology Design alerts to monitor both our customer and corporate environments for anomalous behavior Share insights gleaned from SOAR case work with relevant security team members in order to drive more security feature implementation to the product or corporate environment You will respond to ongoing incidents, investigate historical compromises, and provide adept analysis and findings Establish strategies for threat detection, alerting, and response You will initiate reactive threat hunting engagements by performing endpoint, network, application, and log analysis Establish processes and build 'playbooks' of operational response to security events and/or incidents Familiarity with Threat Intelligence and keeping up-to-date on modern threats and InfoSec news Build and support security-focused tools and services Provide Mentorship and technical expertise to junior team members to assist their technical development Who We’re Looking For 5+ years experience in the security industry Certifications (preferred not required): OSCP, OSCE, OSWP Experience working with SIEM and SOAR technologies Knowledgeable of cloud & container security, and infrastructure as code Working understanding of malware analysis, reverse engineering, and host-based and memory forensics Proficiency in programming or scripting languages (preference to Python, Go, JavaScript, or Bash) is a plus Knowledge of network and web related protocols (e.g., TCP/I

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Safety and Customer Care (SCC) team at Lyft manages over 1.7 million monthly human and AI interactions and serves as Lyft's primary direct touchpoint with riders and drivers. We handle critical infrastructure that powers both human associates and AI agents to make riders and drivers feel safe and comfortable while riding or driving with Lyft, transforming every support interaction into a moment of genuine connection. Agentic AI is at the center of how we scale that mission. We fine-tune and align open-source models, build AI-powered support agents, and develop end-to-end AI agents for safety case management, systems that reason over complex, high-stakes cases and drive them to resolution. SCC brings together ML, data, backend, and product engineers alongside data scientists and operations partners to transform these systems. As a Machine Learning Engineer on the SCC team, you will fine-tune and align models and build AI Agents that power how riders and drivers get help. Your work spans the full loop: post-training open-source models for our domain, composing them into multi-step agents, and building the evaluation that proves they are safe to ship in a customer-facing, safety-critical setting. Post-train and adapt open-source LLMs for SCC use cases using SFT, LoRA, and preference-tuning methods (RLHF, RLAIF, RLVR). Design and build AI-powered support agents and end-to-end agents for safety case management using LangGraph or equivalent agentic frameworks. Own the evaluation data flywheel, offline and online, that defines what "good" looks like and build benchmarks for the team to hill-climb. Turn interaction feedback into training data and learning signals, closing the data flywheel that continuously improves the models. Responsibilities: Conduct literature review and build post-training fra

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Reporting into the Manager of Global Investigations, the Investigator of Global Investigations will support all lines of business related to investigations (e.g. Platform Fraud, Community Safety, Law Enforcement Liaison & Partnerships, Insurance Fraud and Executive Protection & Risk Assessment). This role will efficiently and effectively build strong and meaningful relationships with internal business partners, law enforcement agencies, and other third parties to bring successful case resolution. This role regularly interacts with State/County/Local Law Enforcement in developing comprehensive and detailed cases pertaining to organized offenders and provides expertise to and gains buy-in from Law Enforcement Agencies to assist in the safe apprehension of these offenders. Responsibilities: Work in close partnership with the Manager of Global Investigations and Head of Global Security to set strategic objectives, drive accountability, and ensure successful delivery of key performance metrics Assist in the design and build of the global law enforcement outreach program, in order to regularly liaise and develop strategic relationships with law enforcement agencies Proactively maintain effective working relationships with law enforcement and government authorities Collaborate and build strong relationships with internal cross-functional partners, including Privacy/Identity/Integrity (PII), Risk, Community Safety, Legal, Public Policy, and other Operations teams and leaders across Lyft Plan and execute educational programs for law enforcement authorities on our business and challenges with external theft and loss Learn and develop a deep understanding of the businesses and activities related to Platform Fraud, Community Safety, Law Enforcement, Liaison & Partnerships, Insurance Fraud and Executi

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft is looking for a Paralegal II to join its Legal Team! Working closely with Lyft’s in-house counsel and paralegal team, you will be responsible for investigating and responding to claims; conducting factual investigations; attending hearings and fact finding conferences; supporting administrative tracking of case related matters; and helping to keep Lyft’s employment and litigation operations efficient and organized. You should be a self-starter but able to take direction easily and with a good attitude. Come join the fun at Lyft! Responsibilities: Works closely with Lyft's in-house counsel Litigation & Employment team to support administrative, pre-litigation and litigation matters, as well as external legal requests. Manages, tracks, calendars, and files responses to claims. Independently conducts factual investigations to respond to administrative claims, demand letters, and other litigation and arbitration matters, and assist with drafting responses for these matters. Prepare memoranda and summaries of factual research and make recommendations to supervising attorneys. Assist with gathering documents and information to respond to discovery or information requests. Complete court or agency filings and attend court appearances or agency hearings. Thinks proactively about improving processes to help Lyft’s legal operations continue to scale effectively with incredible growth. Liaises with other teams within the company and external parties to ensure efficient workflow and handling of requests. Provides legal support to in-house attorneys, paralegals, and various internal business partners to ensure compliance with internal policies and procedures. Helps define procedures and practices within Legal to promote efficient workflows and handling of legal requests. Maintain

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’s Public Policy campaign team exists to further the interests of our community of hosts and guests with politicians, regulators, opinion leaders and others who shape the political and regulatory context for our business, helping them understand the significant social and economic contributions of our platform. Across the region, we are engaged in hundreds of local conversations and negotiations with governments big and small. We engage governments at local, state, provincial and national levels directly and also use innovative advocacy and partnership strategies that actively involve our community and stakeholders in making the case for fair, progressive home sharing rules. The Difference You Will Make: The main role of the Public Policy Manager is to ensure the conception and execution of successful policy campaigns in their assigned region. In coordination with the Public Policy Lead, the Public Policy Manager will draft, develop and execute integrated government relations, communications, stakeholder engagement and mobilization plans and projects to achieve key policy objectives As a Public Policy Manager, you must be meticulously organized, detail- and solutions-oriented. You are also able to see the big picture and prioritize projects strategically when needed, while understanding how to synthesize legislation, information and data that should be escalated to leadership. You should have a strong independent work ethic and excellent communication skills, and an ability to take big ideas and translate them into policy with a positive and creative outlook. The

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 Difference You Will Make: The CS Team Specialist supports one or more internal CS services. This is a full time position based in the West Coast of Canada , though the role may support multiple regions. The CS Delivery Team Specialist is an operational expert and a specialist in case handling. The Team Specialist enables our Delivery team to function smoothly by supporting in-progress casework and arranging a successful operational environment for our teams, specifically providing operational assistance to Ambassadors, Supervisors, OMs, and Delivery Excellence Managers. Team Specialists have a solid understanding of the operations, are comfortable providing guidance and support in real-time, and function well in a fast paced environment while juggling multiple priorities. They may be assigned to support one or more services. This is a full time position based in Canada and requires fluency in English, written and spoken . As part of this role, you are required to be flexible and may be required to move to different teams within Community Support and/or take up different responsibilities from those set out below. The ideal candidate will be open to a role which will evolve based on business needs and will be flexible to meet those needs. A Typical Day: The responsibilities listed below are not exhaustive. Given the fast-moving nature of this work, the responsibilities set out below may change and additional duties may be assigned as needed. Enable the successful resolution of core customer-facing work Provide consultative guidance for day-to-day case handling and approve losses for your service(s) and region

About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies — from the world's largest enterprises to the most ambitious startups — use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the Organization Support Experience Engineering builds the technology that powers Stripe's global support operations. Our engineers create the systems and services that support agents worldwide rely on every day to resolve issues for Stripe's millions of merchants and users — at scale, in real time, and across a growing range of channels and offerings. The Case Resolution Platform team owns the core infrastructure and tooling that enables support agents around the world to do their best work. This includes case routing, live channels infrastructure spanning voice and messaging, machine translation, and integrations that connect Stripe's support stack to the platforms agents depend on. What you'll do We're looking for full-stack engineers who want to make an impact on the tools and infrastructure that power global customer support at scale. Our team collaborates with many cross-functional teams — from Infrastructure to Product to Operations — to deliver reliable, high-quality systems that support agents and merchants depend on every day. The team is actively expanding its live channels infrastructure to support new messaging platforms, including in Greater China, requiring collaboration with third-party providers in the region. Responsibilities Design, build, and maintain full-stack services and infrastructure — spanning both backend systems and user-facing tooling — that support agents around the world rely on to resolve merchant and user issues in re

As a Staff Application Security Engineer at Datadog, you'll set technical direction for how we approach application security at scale. You'll define the frameworks, methodologies, and architectural patterns that engineering teams across Datadog adopt and apply independently. You're the person others come to when they don't know how to make something secure, and you reliably have an answer. You'll be a point of contact for our most complex security programs, often spanning multiple teams and multiple quarters. The role requires both depth (going very deep on specific problems when needed) and breadth (recognizing patterns across systems and drawing connections that others miss). Partnering closely with teams inside and outside the security org is key to success. You'll help shape the AppSec roadmap and make the case for where investment should go. We use our own platform. Logs, Dashboards, Service Catalog, and APM aren't just things we sell: they're tools the AppSec team uses to build security services, measure adoption of secure defaults, and communicate risk across the organization. AI is also part of the picture. Engineering at Datadog increasingly uses agentic tooling throughout the development lifecycle, and many of the products we ship to customers now include AI-powered features. Both create new attack surfaces, and defining our strategy for addressing them is part of this role. If using Datadog to observe Datadog's own security posture, building impactful tooling, and shaping how we secure AI-powered systems sounds like the right kind of problem, this role is worth a close look. What You’ll Do: Define and drive security standards and secure-by-default solutions, serving as the Application Security subject matter expert. Build security tooling and automation that scales security practices across engineering teams, and implement robust security observability to support our threat detection team with meaningful, actionable security signals. Lead threat mod

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The Direct Surfaces Team's mission is to make it delightful for users to manage their money. We're rebuilding and unbundling the core of Stripe so that no matter what the business, the location, or the use case there is a single place that can fulfill all financial needs: Stripe Treasury. This is a 0 → 1 new business at Stripe, so if that sounds exciting we'd love to hear from you. What you'll do Engineers at Stripe are comfortable working on new products under fluid conditions, seamlessly balancing tactical and strategic considerations all in service of our users. Responsibilities Deliver a world-class mobile experience for Treasury users, including working with our partners to design and launch new features and capabilities Scope and lead technical projects, laying the groundwork for our products to iteratively evolve and scale Design, build, expand, and maintain mobile-specific view cross-platform components, backing APIs and their services Align our technical decisions with the broad strategic initiatives at Stripe, while also advocating for needs specific to emerging new businesses Work with engineers across the company to understand when to leverage existing infrastructure versus when building a bespoke solution is prudent Make effective tradeoffs that consider business priorities, user experience, and a sustainable technical foundation Who you are We're looking for someone who meets the minimum requirements to

About the Team The Privacy Engineering team builds secure, reliable systems that help OpenAI meet its legal obligations while protecting user data. We partner closely with Legal and engineering teams across OpenAI to support lawful data access requests and other critical legal workflows. Our work turns complex, high-stakes processes into auditable and dependable technical systems with clear human oversight and strong privacy and security controls. About the Role We’re looking for a full-stack Software Engineer to build the internal tools and data pipelines that power lawful data access request workflows and Legal Operations. You will work across product and data systems to make authorized retrieval and case handling accurate, efficient, and auditable. This role is well suited to someone who enjoys translating ambiguous operational requirements into durable systems, cares deeply about sensitive-data handling, and wants to improve both technical reliability and the day-to-day experience of the people operating these workflows. In this role, you will: Design, build, and operate backend systems and workflow tooling for the full lifecycle of lawful data access requests, from intake and scoping through authorized retrieval, review, preparation, and audit. Build reliable data pipelines and interfaces across products and data stores so authorized teams can locate and handle the right records accurately and reproducibly. Implement least-privilege access, approval gates, provenance, audit trails, data minimization, and safe failure modes for sensitive workflows. Partner with Legal and Legal Operations to translate legal and operational requirements into clear technical designs and intuitive operator experiences. Identify responsible automation opportunities that reduce repetitive work while preserving human review, judgment, and accountability. Own production systems through testing, observability, incident response, documentation, and continuous reliability improvements. Hel

About the Team The Privacy Engineering team builds secure, reliable systems that help OpenAI meet its legal obligations while protecting user data. We partner closely with Legal and engineering teams across OpenAI to support lawful data access requests and other critical legal workflows. Our work turns complex, high-stakes processes into auditable and dependable technical systems with clear human oversight and strong privacy and security controls. About the Role We’re looking for a full-stack Software Engineer to build the internal tools and data pipelines that power lawful data access request workflows and Legal Operations. You will work across product and data systems to make authorized retrieval and case handling accurate, efficient, and auditable. This role is well suited to someone who enjoys translating ambiguous operational requirements into durable systems, cares deeply about sensitive-data handling, and wants to improve both technical reliability and the day-to-day experience of the people operating these workflows. In this role, you will: Design, build, and operate backend systems and workflow tooling for the full lifecycle of lawful data access requests, from intake and scoping through authorized retrieval, review, preparation, and audit. Build reliable data pipelines and interfaces across products and data stores so authorized teams can locate and handle the right records accurately and reproducibly. Implement least-privilege access, approval gates, provenance, audit trails, data minimization, and safe failure modes for sensitive workflows. Partner with Legal and Legal Operations to translate legal and operational requirements into clear technical designs and intuitive operator experiences. Identify responsible automation opportunities that reduce repetitive work while preserving human review, judgment, and accountability. Own production systems through testing, observability, incident response, documentation, and continuous reliability improvements. Hel

About the Team The Privacy Engineering team builds secure, reliable systems that help OpenAI meet its legal obligations while protecting user data. We partner closely with Legal and Engineering teams across OpenAI to support lawful data access requests and other critical legal workflows. Our work turns complex, high-stakes processes into auditable and dependable technical systems with clear human oversight and strong privacy and security controls. About the Role We’re looking for a full-stack Software Engineer to build the internal tools and data pipelines that power lawful data access request workflows and Legal Operations. You will work across product and data systems to make authorized retrieval and case handling accurate, efficient, and auditable. This role is well suited to someone who enjoys translating ambiguous operational requirements into durable systems, cares deeply about sensitive-data handling, and wants to improve both technical reliability and the day-to-day experience of the people operating these workflows. This role is based in San Francisco, CA, with two additional locations under consideration: London, UK, and Dublin, Ireland. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Design, build, and operate backend systems and workflow tooling for the full lifecycle of lawful data access requests, from intake and scoping through authorized retrieval, review, preparation, and audit. Build reliable data pipelines and interfaces across products and data stores so authorized teams can locate and handle the right records accurately and reproducibly. Implement least-privilege access, approval gates, provenance, audit trails, data minimization, and safe failure modes for sensitive workflows. Partner with Legal and Legal Operations to translate legal and operational requirements into clear technical designs and intuitive operator experiences. Identify responsible automation o

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. The Cloud Partner Solutions Engineering team's mission is to support co-sell objectives with Cloud Service Provider (CSP) partners by driving customer success through use case wins and go-lives, product integration launches, field enablement, and joint marketing campaigns and initiatives. As a Cloud Partner Solutions Engineer, you will own one or more hyperscaler partnerships end-to-end — combining deep technical credibility with the business acumen and program management skills to translate that technical work into measurable partner and customer outcomes. This is not a purely technical role and not a purely functional one: success requires you to be equally comfortable architecting a cross-cloud Iceberg solution with a partner SA team and leading a joint executive business review with cloud partner and Snowflake field leadership. KEY RESPONSIBILITIES: Partner Strategy & GTM Program Ownership • Own the overall joint GTM strategy and execution plan for your assigned cloud partner(s), aligning Snowflake's field priorities with cloud partner co-sell programs and market initiatives. • Build and manage a portfolio of cloud partner product integrations and joint solutions — from business case through launch — ensuring each delivers measurable field and customer value. • Deve

Role : Program Manager Function: Personal Loans, Lending Location: [Noida / Mumbai] Experience: 3–6 years About the Role: We are hiring a Program / Category Manager to help drive Paytm's Personal Loans business. You will own a set of lending partners end-to-end; their volumes, their economics and their journey and be the connective tissue between Business, Product, Technology, Operations, Risk, Compliance, Finance and Marketing. This is a builder's role, not a coordinator's. You will be expected to find growth yourself: dig into the funnel, form a view on what is broken or under-exploited, build the business case, and then drive it to launch with the teams that can make it happen. The partners in this portfolio contribute a meaningful share of Paytm's monthly disbursals, so the decisions you make show up directly in the P&L. Key Responsibilities: - Own the AOP for your lending partners and drive the initiatives needed to deliver it month on month, not just at quarter end. - Build the forward view forecasts, scenario plans and the levers available if the base case slips. - Own the funnel end to end: stage-wise conversion, drop-offs, TATs and the specific reason codes behind each leak, from offer display through KYC, e-mandate, e-sign and disbursal. - Run cohort and vintage analysis to understand how different user segments, sources and offer constructs behave over time, and use it to shape targeting and offer strategy. - Design and run experiments: A/B tests on journeys, messaging, offers and routing and read the results honestly, including the ones that fail. - Build and maintain the dashboards and MIS that the business runs on, so that you and your stakeholders are always looking at the same, current, correct numbers. - Turn analysis into a recommendation. The deliverable is a decision with a number attached to it, not a deck of charts. - Drive end-to-end execution of strategic lending programs, delivered on time and against clearly defined business outcomes. -