We are seeking an independent Senior Salesforce Engineer who effectively balances technical excellence with a disciplined approach to the software development lifecycle. In this role, you will serve as a guardian of our codebase through implementation, rigorous peer reviews, automated testing, and comprehensive deployment support, ensuring the architectural integrity of our environments.

Key Responsibilities

• Technical Implementation: Lead the translation of user stories into robust, scalable technical designs. Responsible for the end-to-end execution of features, ensuring alignment with organizational standards.
• Solution Design and Architecture: Architect and design secure, scalable solutions by translating complex business requirements into technical specifications and solution designs that leverage the Salesforce platform, particularly within the Sales and CPQ domains.
• Quality Assurance and Testing: Ensure 100% unit test coverage for all new logic. Build and maintain an automated test regression suite to minimize manual overhead and proactively identify regressions.
• Code and Peer Mentorship: Conduct thorough Pull Request (PR) reviews, providing constructive feedback to junior and mid-level developers to maintain code quality and consistency.
• Deployment and Release Support: Manage the deployment cycle, including documenting all changes, securing necessary Jira approvals, resolving environment-specific test issues, and performing final validation in Production.
• Global Collaboration & Ownership: Demonstrated strong ownership and the ability to communicate effectively and collaborate seamlessly with cross-functional, global teams and stakeholders.

Required Qualifications

• Salesforce Development Expertise (5+ years): Proven proficiency in Salesforce development, including Apex, Process/Flow Automations, and Lightning Web Components (LWC).
• Software Development Acumen (3+ years): Strong background in general software engineering principles, with significant experience in Java, Python, or JavaScript.
• Domain Specific Knowledge: In-depth knowledge and practical experience within Sales Cloud and Configure, Price, Quote (CPQ) domains are essential.
• Advanced AI Agent Frameworks & Data Processing: Expertise in modern AI agent or agentforce frameworks, orchestration techniques, Retrieval-Augmented Generation (RAG) pipelines, and advanced vector search methodologies.
• CI/CD Pipeline Proficiency: Hands-on experience with continuous integration and continuous deployment (CI/CD) pipelines, specifically utilizing Jenkins and Salesforce DX (SFDX) for efficient development and release.
• Secure Salesforce Solution Development: Deep understanding and practical application of Salesforce security features, adherence to data privacy regulations, and implementation of best practices for secure solution development.
• Communication, & Problem-Solving: Possesses excellent communication and robust problem-solving abilities. Capable of independently driving technical direction, mentoring team members, fostering collaboration, and effectively managing all project aspects.

Preferred Qualifications (Extra Credit)

• Salesforce certifications, such as Platform Developer I/II, CPQ Administrator, Application Architect, or Technical Architect.
• Experience designing or implementing advanced Salesforce DevOps practices.
• Previous work in a high-growth, SaaS, fast-paced technology company.

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P24733_3364841

The Technology, Data, and Intelligence team

Okta is the leading independent identity provider, and our Technology, Data, and Intelligence (TDI) team is the engine behind it. As we pivot to an AI-first enterprise, we are seeking a Senior Director of Sales & Revenue. This high-impact leader will transform our Go-To-Market systems by embedding AI, automation, and product-led execution across the customer lifecycle to fuel Okta's next phase of growth.

The Senior Director of Sales & Revenue opportunity 

The Senior Director of Sales & Revenue within the TDI organization will own the end-to-end technology strategy and execution across Okta's full Sales & Revenue ecosystem — including Field Sales, Sales Ops, Renewals, Revenue Operations, Pricing & Packaging, Commissions, Partners & Alliances, and Buying Programs. This leader will drive a step-change in productivity and decision-making by building intelligent, AI-powered systems that simplify workflows, unlock data-driven insights, and enable scalable growth.

What you'll be doing

• AI-Driven GTM Transformation: Lead the shift to an AI-first GTM model by embedding intelligence across forecasting, pipeline management, pricing, renewals, and partner motions.
• Sales & Revenue Systems Strategy: Define and execute a modern, scalable systems roadmap across Salesforce, CPQ, Clari, partner ecosystems, and data platforms.
• Revenue Lifecycle & Process Excellence: Own and optimize the full revenue lifecycle (lead → opportunity → deal → renewal → expansion), ensuring alignment across pricing, quoting, forecasting, and commissions.
• Pricing, Commissions & Revenue Operations: Drive accuracy, transparency, and scalability across pricing, packaging, and commissions through system and process innovation.
• Partner & Digital Buying Ecosystems: Build next-generation partner and digital buying capabilities, enabling co-sell, self-serve, and data-driven GTM motions.
• Product-Led Operating Model: Champion a product-driven approach where business needs are inputs and teams deliver iterative, outcome-based solutions.
• Data & Decision Intelligence: Establish a unified data foundation and enable AI-powered insights for forecasting, pipeline health, and revenue planning.
• Team Leadership: Build and lead a high-performing team of product managers, engineers, and architects with a culture of innovation and accountability.

What you'll bring

• Visionary Leadership: 18+ years leading global Sales, Revenue Operations, or Business Technology functions within high-growth SaaS or enterprise technology environments.
• Transformation Catalyst: Proven architect of large-scale digital transformations, pioneering the integration of AI and automation to redefine GTM motions.
• Domain Expertise: Deep mastery of the enterprise ecosystem (Salesforce, CPQ, Clari) and the data/integration architectures required to connect partner ecosystems with internal revenue engines.
• Commercial Acumen: Sophisticated understanding of the modern revenue lifecycle, including complex enterprise sales cycles, renewal optimization, value-based pricing, and partner-led scale.
• AI-First Execution: Demonstrated success delivering quantifiable business value through strategic deployment of AI (e.g., accelerated revenue velocity, productivity gains).
• Product & Systems Mindset: A "product-led" approach to internal systems, prioritizing scalable architecture, elegant user experiences, and robust systems thinking.
• Executive Influence: Exceptional presence and "bilingual" communication skills—bridging technical complexity and boardroom strategy to align C-suite stakeholders.
• Academic Foundation: Bachelor's degree required; MBA or equivalent advanced leadership degree highly preferred.

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#P5096_3426972

We are looking for a Senior Salesforce Product Analyst to join the TDI team and help scale our internal systems with a focus on security and reliability. You will leverage your deep knowledge of CPQ and Sales Cloud, covering everything from provisioning to case management, to partner with GTM teams and uncover data-driven efficiencies. In this role, your work will bridge the gap between business needs and technical solutions to drive operational success.

Key Responsibilities

Requirements Gathering and Analysis:

• Work closely with business stakeholders to understand their requirements and challenges, translating them into detailed and actionable user stories.
• Conduct thorough analysis of existing processes and systems to identify opportunities for improvement.Salesforce CPQ Configuration:
• Leverage your expertise in Salesforce CPQ to implement solutions that align with business needs. This includes product and price rule configuration, and advanced approvals.

Solution Design and Implementation:

• • Collaborate with developers and administrators to design and implement enhancements and customizations.
  • Deliver Salesforce CPQ and Salesforce.com platform updates as a core member of a team responsible for the design, development, testing, and release of enhancements and strategic projects.

Stakeholder Collaboration:

• • Partner with different functions such as Deal Desk, Partner Ops, Order Management, Pricing and Packaging, and Sales Ops to design, implement, and enhance the CPQ platform for Direct and Channel Sales teams.

Data Management and Reporting:

• Ensure the integrity and accuracy of Salesforce data through effective data management practices.
• Create and maintain reports and dashboards to provide insights into key performance metrics and support decision-making.

System Integrations:

• Collaborate with technical teams to design and implement integrations between Salesforce and other systems within the organization.
• Ensure seamless data flow and interoperability between Salesforce and external applications.

Quality Assurance and Testing:

• Develop and execute comprehensive test plans to validate the functionality and performance of Salesforce solutions.
• Collaborate with QA teams to address and resolve any issues identified during testing.

Security and Compliance:

• Ensure that Salesforce solutions adhere to organizational security policies and industry regulations.

Documentation:

• User Journey & Documentation: Author and maintain end-to-end User Journey Maps. You will update system documentation to reflect AI-driven automations and "Human-in-the-loop" decision points.
• Ensure that technical and user documentation is accessible and easily understandable.

Qualifications & Requirements

Technical Expertise

• Salesforce Mastery: 5+ years of hands-on experience as a Business Analyst or Implementation Consultant specializing in Salesforce Sales Cloud and CPQ.
• System Architecture: Proven experience with Salesforce integrations, specifically connecting CRM platforms with product-led systems and cross-functional tools.
• Lifecycle Management: Demonstrated ability to own the end-to-end delivery lifecycle, from initial conception and configuration through to launch and post-deployment support.
• Certifications: Salesforce Certified Administrator, Sales Cloud Consultant, or CPQ Specialist credentials are highly preferred.

Strategic & Analytical Skills

• Process Innovation: A strong problem-solving mindset focused on continuous process improvement and operational efficiency.
• AI-Driven Analysis: Solid understanding of AI solutions and their application in enhancing analytical workflows and data insights.
• Critical Thinking: Ability to translate complex business requirements into scalable, high-quality technical solutions.

Leadership & Collaboration

• Cross-Functional Partnership: Proven track record of collaborating with diverse business teams and stakeholders to align goals.
• Global Collaboration & Ownership: Demonstrated strong ownership and the ability to communicate effectively and collaborate seamlessly with cross-functional, global teams and stakeholders.
• Proactive Ownership: A self-starter who takes initiative to find solutions independently and consistently delivers accurate, timely results.

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P24732_3364836

This role is within the Technology Data and Intelligence (TDI) team, focused on building secure, scalable, and innovative systems that boost internal efficiency. We are seeking a motivated Software Engineer to join our CPQ unit to scale business solutions and maintain our critical sales technology stack. You will be responsible for translating business requirements into high-quality technical solutions while ensuring system reliability through automated testing and continuous deployment support.

Key Responsibilities

• Technical Implementation: Translate user stories and business requirements into well-designed, scalable, and secure technical solutions. You will primarily leverage the Salesforce platform, focusing on the Sales Cloud and CPQ domains.
• Code Quality & Collaboration: Participate actively in Pull Request (PR) reviews to maintain overall code quality and consistency. Work closely with cross-functional teams, including business stakeholders, analysts, and other engineers, to drive projects from concept to production.
• Testing & Reliability: Write comprehensive unit tests for all new logic to ensure high code coverage, and contribute to the growth of our automated test regression suite.
• Deployment Support: Assist with the deployment cycle, which includes documenting changes, performing validation, and resolving environment-specific issues.

Required Qualifications

• Salesforce Development Expertise (3+ years): Solid experience with Salesforce development, including proficiency in Apex, Process/Flow Automations, and Lightning Web Components (LWC).
• Software Development Fundamentals (1+ years): A strong foundation in general software engineering principles, with experience in languages like Java, Python, or JavaScript.
• Domain Knowledge: Foundational understanding of Sales Cloud and Configure, Price, Quote (CPQ) or related domains.
• DevOps/CI/CD: Familiarity with continuous integration and continuous deployment (CI/CD) pipelines, such as Jenkins and Salesforce DX (SFDX).
• Security Focus: Understanding of Salesforce security features and best practices for developing secure and reliable solutions.
• Soft Skills: Strong communication, problem-solving, and a clear eagerness to learn and collaborate with a team.
• Global Collaboration & Ownership: Demonstrated strong ownership and the ability to communicate effectively and collaborate seamlessly with cross-functional, global teams and stakeholders.

Preferred Qualifications (Extra Credit)

• Salesforce certifications (e.g., Platform Developer I, CPQ Administrator).
• Demonstrated interest in learning about Salesforce DevOps practices.
• Experience with modern AI agent frameworks, orchestration techniques, or Retrieval-Augmented Generation (RAG) pipelines.

P24734_3380784

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Okta is seeking an experienced Senior Adobe Experience Cloud Engineer with a deep understanding of Adobe’s tech stack to join our growing team.The position will play a crucial role in designing, developing, and maintaining solutions that leverage Adobe technologies to meet the unique business needs of our business partners. You must be collaborative and able to build trusted partnerships with extended teams. A successful candidate will have the ability to balance priorities and collaborate with cross functional teams while delivering within an agile delivery framework and supervising key performance indicators.

Responsibilities

• Solution Design & Development: Lead the development and implementation of custom solutions and integrations within Adobe Experience Cloud, including Adobe Experience Cloud solutions, including Content Management, Assets, Multi-Site-Management, and Cloud manager
• Architecture & Scalability: Architect and build scalable, high-performance systems and applications that meet business requirements and technical specifications.
• Integration & Optimization: Develop and maintain integrations between Adobe Experience Cloud products and other internal or third-party systems. Optimize existing systems for performance and reliability.
• Collaboration: Work closely with product managers, solution architects, and other stakeholders to gather requirements, define project scopes, and deliver high-quality software solutions.
• Agile Development: Participate in agile development processes, including sprint planning, daily stand-ups, and retrospectives. Contribute to continuous improvement efforts and drive innovation.
• Support & Troubleshooting: Provide technical support for deployed solutions, troubleshoot issues, and ensure timely resolution of any software defects or performance problems.
• Documentation: Maintain comprehensive documentation for software design, development processes, and system configurations.

Qualifications

• BS Computer Science or other technical degree. 3+ years of related overall technology experience
• Experience in Adobe Experience Manager (required)
• Expertise in core web technologies including XML, HTML5, CSS, client/server-side-scripting languages such as JavaScript preferably using SPA (Single page application) and web services development using RESTful implementations.
• Proficient in Day CQ / Adobe AEM foundational concepts, including the use of core frameworks such as Apache Sling and Apache Felix, a solid understanding of all of the related building blocks including templates, components, dialogs, widgets, etc., and the Adobe AEM development and deployment process.
• Good understanding of Adobe AEM WCM capabilities including Multi-site manager and Blueprinting, and the use of online marketing components such as advanced targeting / personalization, and multivariate testing, is preferred.
• Proficient knowledge of the end-to-end content lifecycle, web content management, content publishing / deployment, and delivery processes.
• Good understanding of integration patterns and content-centric application development patterns using Adobe AEM with or without a Portal, Search, Commerce package or other platforms, is preferred.
• Strong understanding of SDLC methodologies (Agile, SCRUM)
• Experience in at least one: Adobe - Analytics, Campaign, Commerce, Marketo Engage, Target or equivalent technologies is a plus
• Highly self-directed; able to multi-task given incomplete and conflicting knowledge, and prioritize multiple projects/initiatives in a deadline-driven environment
• Strong interpersonal skills, a positive attitude and the ability to thrive in a collaborative agency environment with multidisciplinary teams required.

(P19564_3365522)

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What you'll be doing

• Design, build, and evolve intelligent customer experience solutions that integrate Salesforce CRM with AWS services and modern generative AI capabilities.
• Develop AI-powered experiences using Amazon Bedrock, LangChain, and modern LLM integration patterns to create context-aware, scalable, and customer-facing solutions.
• Build robust backend services and integrations to support customer workflows, including LLM orchestration, prompt workflows, RAG pipelines, and other generative AI features.
• Design and deliver complex customer experience initiatives from technical discovery through production deployment, ensuring scalability, reliability, and maintainability.
• Develop and refine prompt engineering strategies, grounding approaches, and AI interaction patterns that improve the quality, relevance, and safety of customer-facing AI experiences.
• Design and implement resilient APIs, event-driven integrations, and backend services that connect Salesforce, AWS platforms, internal systems, and external applications.
• Drive engineering excellence through strong CI/CD practices, using GitHub, Gearset, and deployment automation to support reliable and efficient releases.
• Champion observability, operational excellence, and production support practices to ensure enterprise-grade reliability, performance, and supportability of customer-facing systems and AI services.
• Participate in technical decision-making across architecture, integration design, AI/ML tooling, scalability, security, and long-term platform evolution.
• Partner closely with product managers, designers, architects, security, data, and infrastructure teams to ensure solutions are aligned, secure, reliable, and enterprise-ready.
• Collaborate effectively in a Scrum-based Agile environment, using Jira and Confluence to drive execution, document decisions, and maintain delivery transparency.
• Evaluate emerging AI/ML technologies, frameworks, and engineering patterns, and apply them pragmatically to improve customer experience and operational efficiency.

What you'll bring to the role

• 3+ years of professional software engineering experience, with at least 3+ years in customer-facing platforms, enterprise integrations, or CRM-driven systems.
• Expertise in backend and application development using Python or Java, JavaScript or TypeScript, with the ability to build production-grade, scalable software systems.
• Strong experience designing and building cloud-native solutions on AWS, including services such as Lambda, S3, RDS, API Gateway, and CloudWatch, with a focus on scalability, resilience, and security.
• Proven experience integrating LLMs and generative AI capabilities into production-ready applications, ideally using Amazon Bedrock, LangChain, or similar frameworks.
• Experience building AI-powered backend services such as prompt orchestration layers, RAG workflows, retrieval pipelines, or other intelligent application patterns.
• Strong software engineering fundamentals, including distributed systems design, API development, testing strategies, code quality, and maintainable architecture.
• Experience with CI/CD pipelines, source control workflows, and automated deployments using tools such as GitHub and Gearset.
• Working knowledge of Agile/Scrum delivery models, and experience partnering across product, engineering, and business teams in sprint-based execution.
• Excellent communication skills with the ability to explain complex technical ideas clearly to both technical and non-technical audiences.

Nice to have

• Hands-on experience with Salesforce architecture and development, including Apex, Lightning, Flow, APIs, and data models, with a strong understanding of enterprise CRM workflows.
• Experience with advanced prompt engineering, evaluation strategies, and optimization techniques for customer-facing AI applications.
• Familiarity with vector databases, embeddings, and Retrieval-Augmented Generation (RAG) architectures.
• Experience with LangGraph, LangSmith, agentic workflows, or related frameworks for orchestrating more advanced AI application behavior.
• Background in enterprise security, compliance, and data governance , especially as it relates to AI adoption and customer data protection.
• Experience with containerization and orchestration technologies such as Docker and Kubernetes .
• Exposure to advanced AWS services such as SageMaker, AppConfig, or event-driven architectures.
• Track record of leading cross-functional technical initiatives or delivering large-scale platform improvements.

What we value

• Technical leadership and the ability to guide architecture, influence decisions, and elevate engineering practices across the team.
• Strong engineering discipline, with a focus on clean design, maintainable code, observability, testing, and production excellence.
• AI curiosity and pragmatism, balancing innovation with responsible, scalable implementation of emerging technologies.
• Ownership mindset, taking responsibility from idea to implementation to operational success.
• Mentorship and collaboration, with a genuine interest in helping others grow and working effectively across teams and functions.
• Customer focus, with the ability to connect technical solutions to better customer and business outcomes.

Why join us

• Lead innovation at the intersection of enterprise customer platforms and cutting-edge AI technology.
• Build intelligent, customer-facing solutions that have direct business impact and improve the overall customer experience.
• Shape technical direction for AI-enabled capabilities across Salesforce, AWS, and modern integration platforms.
• Work with a team that values engineering excellence, collaboration, and thoughtful adoption of emerging technologies.
• Mentor engineers, influence architectural decisions, and play a key role in the evolution of our customer experience platform.
  
  
  

  (P20321_3423426)

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As an AEM DevSecOps Engineer, you will oversee and automate our AEM infrastructure with a primary focus on security, reliability, and automated compliance. You will bridge the gap between development and operations by embedding security directly into the CI/CD pipeline and managing complex identity and content delivery architectures, including headless AEM and Auth0 integrations. Your role is pivotal in ensuring that our platform is not only high-performing but resilient against modern threats like DDoS attacks.

Key Responsibilities

• Identity & Access Management: Configure and manage Auth0 integrations for AEM, including token validation, OIDC/SAML configurations, and custom login modules to ensure secure user authentication.
• Headless Security: Oversee the security of AEM Headless deployments, including protecting GraphQL endpoints, managing CORS policies, and ensuring secure communication for decoupled front-end frameworks (React/Angular).
• Edge & CDN Protection: Manage and configure CDN (e.g., Cloudflare, Akamai, or Adobe-managed CDN) to optimize performance and implement DDoS mitigation strategies.
• Traffic Filtering: Implement and maintain Traffic Filter Rules and Web Application Firewall (WAF) configurations at the CDN level to block malicious spikes and sophisticated application-layer attacks.
• Automated Security Scanning: Integrate security tools (SAST/DAST) and secrets detection into CI/CD pipelines (Jenkins, GitLab) to identify vulnerabilities early in the development cycle.
• Environment Hardening: Install and manage AEM author, publish, and dispatcher instances with a focus on Dispatcher security hardening, SSL certificate automation, and ModSecurity configurations.
• Observability & Incident Response: Monitor system performance and security logs using tools like Splunk or New Relic to proactively address threats and performance bottlenecks.
• Compliance Auditing: Regularly audit the platform and its integrations (Adobe Analytics, Target) to ensure alignment with corporate security policies and industry standards.

Required Skills & Experience

• Experience: 5+ years in administering and securing AEM environments.
• Identity Services: Proven experience integrating Auth0 or similar Identity Providers (IdP) for enterprise-scale authentication.
• Architectural Knowledge: Strong understanding of Headless CMS security best practices, including API key management and JWT authentication.
• Network Security: Expertise in managing CDNs and implementing DDoS mitigation and WAF rules.
• Technical Stack: Proficiency in Apache Sling, JCR, OSGi, and web servers like Nginx or Apache.
• Automation: Hands-on experience with scripting (Python) and CI/CD tools (Jenkins, CircleCI) to automate security and deployment workflows.
• Cloud Experience: Experience with cloud-based AEM implementations, such as AEM as a Cloud Service (AEMaaCS) or AWS/Azure.
• Diagnostic Skills: Proficiency in analyzing log files, thread dumps, and heap dumps to resolve security incidents or performance outages.

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• P24849_3380782