The team fosters a collaborative environment and is building a best-in-class program to partner with the business to protect the Firm’s information and computer systems. Millennium is a complex and robust technical environment and securing the Firm from external and internal threats is a top priority.

Responsibilities

• Define and implement security guardrails for Generative AI, LLMs, and Agentic frameworks, ensuring safe enterprise adoption.
• Conduct specialized threat modeling, red teaming, and risk assessments for AI/ML models (e.g., testing for prompt injection, model theft, and data poisoning).
• Lead risk management activities, including application risk assessments, design reviews, and mitigation strategies for IT projects.
• Engage throughout the SDLC to identify vulnerabilities, conduct code reviews/penetration testing, and enforce secure coding standards.
• Evangelize AppSec and AI security best practices through developer education, training materials, and outreach.
• Design robust security architectures and integrate automated security testing (SAST/DAST/SCA) into CI/CD pipelines.
• Partner with Technology, Trading, Legal, and Compliance to create policies and communicate technical risks to non-technical stakeholders.

Qualifications

• Bachelor's degree or higher in Computer Science, Computer Engineering, IT Security or related field.
• 5+ years’ experience working as an Application Security Engineer, Software Engineer, or similar role.
• Deep understanding of AI-specific risks (OWASP Top 10 for LLMs) and experience securing applications utilizing LLMs.
• Experience working with AI models, Agentic frameworks and security risks associated with AI.
• Experience in working with global teams, collaborating on code and presentations.
• Demonstrated work experience in hybrid on-premise and Public Cloud environments (AWS/GCP/Azure)
• Strong understanding of security architectures, secure configuration principles/coding practices, cryptography fundamentals and encryption protocols.
• Experience with common SCM & CI/CD technologies like GitHub, Jenkins, Artifactory, etc. and integrating Security Scanning and Vulnerability Management into the CI/CD Pipelines
• Familiarity with static and dynamic security analysis tools, and SCA/SBOM solutions.
• Hands on experience with Secrets Management & Password Vault technologies such as Delinea Secret Server and/or Hashicorp Vault, etc.
• Strong experience in secure programming in languages such as Python, Java, C++, C#, or similar.
• Familiarity with Infrastructure as Code tools (CloudFormation, Terraform, Ansible, etc.)
• Familiarity with web application security testing tools and methodologies.
• Knowledge of various security frameworks and standards such as ISO 27001, NIST, OWASP, etc.
• Knowledge of Linux, OS internals and containers is a plus.
• Certifications like CISSP, CISM, CompTIA Security+, or CEH are advantageous.

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The successful candidate will have a proven understanding in enterprise security and AI security and will focus on defining and implementing security guardrails for Generative AI, LLMs, and Agentic frameworks, ensuring safe enterprise adoption.

Key responsibilities include:

• Defining and implementing security guardrails for Generative AI, LLMs, and Agentic frameworks
• Conducting specialized threat modeling, red teaming, and risk assessments for AI/ML models
• Leading risk management activities, including application risk assessments, design reviews, and mitigation strategies for IT projects
• Engaging throughout the SDLC to identify vulnerabilities, conduct code reviews/penetration testing, and enforce secure coding standards
• Evangelizing AppSec and AI security best practices through developer education, training materials, and outreach

Qualifications include:

• Bachelor's degree or higher in Computer Science, Computer Engineering, IT Security or related field
• 5+ years' experience working as an Application Security Engineer, Software Engineer, or similar role
• Deep understanding of AI-specific risks (OWASP Top 10 for LLMs) and experience securing applications utilizing LLMs
• Experience working with AI models, Agentic frameworks and security risks associated with AI
• Experience in working with global teams, collaborating on code and presentations

Preferred qualifications include:

• Demonstrated work experience in hybrid on-premise and Public Cloud environments (AWS/GCP/Azure)
• Strong understanding of security architectures, secure configuration principles/coding practices, cryptography fundamentals and encryption protocols
• Experience with common SCM & CI/CD technologies like GitHub, Jenkins, Artifactory, etc. and integrating Security Scanning and Vulnerability Management into the CI/CD Pipelines
• Familiarity with static and dynamic security analysis tools, and SCA/SBOM solutions
• Hands on experience with Secrets Management & Password Vault technologies such as Delinea Secret Server and/or Hashicorp Vault, etc.
• Strong experience in secure programming in languages such as Python, Java, C++, C#, or similar
• Familiarity with Infrastructure as Code tools (CloudFormation, Terraform, Ansible, etc.)
• Familiarity with web application security testing tools and methodologies
• Knowledge of various security frameworks and standards such as ISO 27001, NIST, OWASP, etc.
• Knowledge of Linux, OS internals and containers is a plus
• Certifications like CISSP, CISM, CompTIA Security+, or CEH are advantageous

We offer a competitive salary and benefits package, as well as opportunities for professional growth and development.

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At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff , payroll, health insurance, 401(k)s, and HR , so owners can focus on their craft and their customers.

With teams in Denver, San Francisco, and New York, we support more than 400,000 small businesses nationwide and are building a workplace that reflects the people we serve.

All full-time employees receive competitive base pay, benefits, and equity (RSUs) , because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy.

AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process.

About the Role:

Gusto is scaling our AI-powered risk function to support a complex, multi-entity business operating in highly regulated environments. As the Enterprise Risk Management Lead, you will own and operate Gusto's Enterprise Risk and Third Party Risk Management programs , built AI-first, designed to scale, and built to enable the business to move fast without breaking things.

This is a People Empowerer (manager) role. You balance hands-on program leadership with managing and developing a team of compliance professionals. You navigate the tension between "doing the work" and "leading the work" , contributing directly to complex, high-impact programs while ensuring your team delivers with excellence.

You are a change agent who influences how automated risk management gets done at Gusto, models AI-enabled ways of working, and helps others grow their own capabilities in the process.

You will champion the adoption of AI, machine learning, and process automation across risk monitoring, control testing, incident management, and reporting , and you will partner with Product, Data Science, and Engineering to make it explainable, adopted, compliant, and scalable.

Here’s what you’ll do day-to-day:

You manage initiatives that are complex in both scope and impact, influencing the strategic direction of Gusto's compliance risk management framework.

You apply a deep understanding of the regulatory landscape and how it intersects with Gusto's business model to proactively design and lead cross-functional risk programs.

You translate complex risk topics into clear, actionable guidance that senior leaders can immediately understand and operationalize.

You lead cross-functional working groups, align divergent perspectives, and drive cohesive progress toward shared goals , with minimal oversight.

As a PE, you balance individual risk and compliance contribution with team leadership.

You manage operations, professional development, resource allocation, and performance , while staying close enough to the work to be a credible, hands-on partner to your team and stakeholders.

You model responsible AI use, and act as a source of knowledge and mentorship , supporting your team's AI journey and helping others apply it responsibly and effectively.

AI-Enabled Risk Operations, Innovation & Transformation

This is how you and your team operate , not a side project.

• Champion the adoption of AI, machine learning, process automation, and advanced analytics to improve risk monitoring, control testing, and reporting across ERM, TPRM, and broader compliance functions

• Lead the integration of AI and automation into every phase of the risk lifecycle: vendor assessments, document ingestion and analysis, continuous monitoring and alerting, risk scoring, prioritization, and trend analysis

• Build intelligent risk monitoring and evaluation systems , including auto-tagging for risk issues, audit requests, and regulatory changes , that improve real-time visibility and eliminate manual effort across the enterprise risk portfolio

• Drive the digitalization of risk tools including RCSAs, KRIs, incident reporting, and audit tracking , transforming periodic, reactive processes into continuous intelligence systems with live leading and lagging indicators that enable real-time decision-making

• Partner with Product, Data Science, and Engineering to define requirements for AI-driven workflows, decisioning engines, and dashboards , ensuring explainability, auditability, and regulatory defensibility of all AI-enabled risk decisions

• Design and build intelligent dashboards and reporting tools that deliver real-time risk visibility and decision-quality insights to senior leadership and cross-functional stakeholders

• Design AI workflows with appropriate validation loops, human-in-the-loop checkpoints, and guardrails , ensuring outputs are reliable, governable, and meet regulatory standards before being used to frame risks, recommendations, or decisions

• Stay current on AI advancements and emerging technologies and proactively integrate new capabilities into team operations to increase velocity and scale

• Model responsible AI use , supporting ICs in their AI journeys and fostering a culture of intentional experimentation, accountability, and continuous improvement

Enterprise Risk Management

• Design, implement, and continuously improve Gusto's ERM framework, ensuring alignment with best practices and Gusto's stage of growth and strategic priorities across all entities

• Define and maintain Gusto's enterprise risk taxonomy, risk appetite statement, and key risk indicators spanning operational, regulatory, technology, financial, and reputational risk domains

• Lead Gusto's Enterprise Risk Management process , driving integration of risk practices across business functions, promoting a proactive risk culture, and ensuring incident management, root cause analysis, and lessons learned are systematically captured in an automated, AI forward way.

• Apply AI-assisted insights to enterprise risk datasets to surface systemic patterns, validate assumptions, prioritize risks, and deliver proactive, data-driven advisory to senior leadership

• Monitor the regulatory landscape (OCC, FDIC, CFPB, SEC, FINRA, GDPR, NIST, ISO, SOC) and leverage AI to proactively incorporate changes before they become compliance gaps

• Act as a key advisor to senior compliance leadership , translating complex risk findings into clear, actionable recommendations with minimal oversight

Third Party Risk Management (TPRM)

• Design, implement, and independently manage a high-impact, AI-first TPRM program with clear milestones, progress tracking, and measurable outcomes across all Gusto entities

• Manage the full third-party risk lifecycle , onboarding and risk profiling, periodic assessments, issue management, corrective action tracking, and offboarding , across suppliers, product partners, contractors, service providers, and cloud service providers , and do so in an AI and automated way.

• Maintain a centralized, authoritative vendor risk inventory and risk register, ensuring real-time visibility into Gusto's third-party risk posture

• Conduct periodic AI-driven audits and reviews of third-party compliance with contractual obligations and regulatory standards, identifying patterns that inform continuous program improvement

• Serve as the central orchestrator across Compliance, Security, Legal, Procurement, IT, and GRC for proactive and reactive third-party incident management

• Own Gusto's TPRM policy and maintain comprehensive documentation , risk assessments, audit findings, corrective actions , ensuring full accountability and traceability

People Leadership & Team Development

• Balance individual compliance contribution with team leadership , managing operations, professional development, resource allocation, and performance while staying close to the work

• Coach and develop ICs toward next

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The Support Operations team at Anthropic is dedicated to optimising and scaling the Product Support function to deliver exceptional user experiences. As a Support Operations Specialist focusing on AI Agent Management, you will sit within our AI Support function and be instrumental in building and improving the capabilities of Fin, our AI support agent.

This role sits at the intersection of conversation design and support automation. You'll shape how our AI agent communicates,its tone, structure, handoff logic, and interaction flow,while also building the backend scaffolding that enables it to take real action on behalf of users.

The goal isn't just an AI that answers questions; it's an AI that resolves issues end-to-end: processing refunds, managing subscriptions, verifying account details, and routing complex cases to the right humans at the right time.

Working as part of our AI Support function, you'll execute on the Fin optimisation roadmap,configuring AI behaviours, building integrations that expand what Fin can do, designing conversation flows that create a seamless customer experience, and maintaining the automated workflows that power our support operation.

Responsibilities

• Design and optimise conversation flows, triage logic, and handoff behaviours that create seamless transitions between AI and human support across different customer segments
• Configure and maintain Fin's Guidance rules and Attributes to improve AI response quality, tone, and inbound categorisation
• Build and maintain integrations between Fin and external systems (Stripe, status page, etc.) that enable the AI agent to take action on behalf of users,processing refunds, fetching subscription details, surfacing incident status, and more
• Design, implement, and troubleshoot automated workflows for refunds, subscription management, and other transactional support actions, including guardrails, validation logic, and exception handling to ensure safe and reliable execution
• Own Fin over email setup and maintenance, ensuring consistent AI support quality across channels
• Contribute to AI support effectiveness monitoring by tracking resolution rates, automation rates, CSAT, and escalation patterns to identify improvement opportunities
• Provide input on the Fin optimisation roadmap based on hands-on experience with configuration, capability gaps, and conversation analysis
• Partner with the AI Support Systems team on technical dependencies where Fin capabilities intersect with help desk infrastructure

You might be a good fit if you:

• Have 3+ years of experience in support operations, support engineering, chatbot/AI agent configuration, or similar roles in a technology company
• Have hands-on experience configuring AI agents, chatbots, or automation tools,ideally within Intercom, Zendesk, or similar platforms
• Think in terms of conversation design: you naturally consider how tone, structure, and flow shape the customer experience, not just whether the right answer gets delivered
• Are technically comfortable working with integrations, APIs, and workflow builders without needing engineering support for every change
• Understand that enabling an AI agent to take action requires careful attention to guardrails, edge cases, and safe execution paths,not just connecting systems
• Demonstrate a data-driven approach, using metrics like automation rates, resolution rates, and CSAT to evaluate whether capabilities are working and where to iterate
• Can manage multiple in-flight projects simultaneously, balancing new capability builds with maintenance of existing workflows
• Are detail-oriented and quality-focused,you test thoroughly before shipping and monitor closely after
• Communicate clearly with both technical and non-technical stakeholders
• Thrive in a fast-paced environment where the product and support landscape evolve rapidly
• Are genuinely excited about AI and see the potential for AI agents to transform customer support from reactive ticket resolution into proactive, end-to-end problem solving

Strong candidates may also have:

• Experience specifically with Intercom's Fin AI agent or similar AI support tools
• A background in conversation design, UX writing, or content design for conversational interfaces
• Experience building or managing automated workflows that handle transactional actions (refunds, subscription changes, account modifications)
• Familiarity with support metrics frameworks (automation rates, deflection, CSAT) and how operational decisions connect to business outcomes
• Experience working with Stripe integrations or payment/subscription systems
• Background in support engineering or technical support operations

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links,visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic, we're building a team of talented researchers, engineers, and policymakers who share our vision for a future where AI is developed and used responsibly.

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As the portfolio grows, this role is expected to evolve into team leadership. You'll play a key role in shaping how risk decisions translate into customer experience, product growth, and long-term portfolio performance.

Key responsibilities include:

• Building and operationalizing the credit strategy

• Translating underwriting vision into formal credit policy and decision frameworks

• Defining approval logic, segmentation strategy, and limit-setting methodology

• Establishing portfolio guardrails aligned to loss targets and unit economics

• Designing account management strategies across the customer lifecycle

• Developing early portfolio management approaches including exposure adjustments, servicing strategies, and input into collections processes as the portfolio matures

• Defining portfolio monitoring frameworks and escalation triggers for emerging credit risk trends

• Building the data-driven risk engine

• Implementing credit policy in our underwriting platform

• Evaluating and integrating key data sources (bureau, income, debt signals)

• Ensuring decision logic is structured, testable, and scalable

• Partnering with Engineering and Data to build monitoring and feedback loops

• Owning portfolio performance post-launch

• Defining and tracking core KPIs (approval rate, early delinquency, loss rate, exposure, utilization, etc.)

• Monitoring vintage performance and segment behavior

• Recommending and implementing strategy adjustments based on observed risk trends

• Presenting risk performance, insights, and recommendations to senior leadership

• Driving data-informed risk and growth decisions

• Using SQL to independently evaluate underwriting decisions and trade-offs

• Analyzing drivers of credit performance and portfolio outcomes

• Partnering with Finance on forecasting and risk-adjusted economics

• Driving cross-functional execution

• Partnering with Compliance to ensure the underwriting program is well-documented and built to scale

• Working with Partnerships, Procurement, and Legal on evaluating and onboarding credit data providers

• Supporting broader risk initiatives across our business charge card portfolio during the build phase

Requirements include:

• 6+ years of experience in consumer credit risk
• Experience launching or materially redesigning a consumer lending product
• Experience implementing credit policy within a decisioning or underwriting platform is strongly preferred
• Demonstrated experience owning risk strategy and monitoring portfolio performance
• Deep familiarity with bureau data and core credit risk metrics (approval rate, loss rate, vintage curves, etc.)
• Experience presenting risk insights and strategy recommendations to senior stakeholders
• Experience translating policy into production decision logic
• Strong SQL skills and comfort working directly with data
• Comfortable building in ambiguity and operating in a 0→1 environment

Total rewards package includes base salary, equity, and benefits. Salary and equity ranges are highly competitive within the SaaS and fintech industry.

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Key Responsibilities

Solution Architecture & Design

• Lead the overall architecture and design of large-scale Pega applications.
• Define reusable components, frameworks, data models, integrations, and design patterns.
• Ensure end-to-end solution alignment with business requirements and technical standards.
• Conduct architecture reviews, code reviews, and performance assessments.

Delivery Leadership

• Oversee the technical delivery of Pega programs across multiple workstreams.
• Provide technical leadership to developers, senior system architects (SSAs), and business architects (BAs).
• Resolve complex technical issues and ensure high-quality deliverables.
• Collaborate closely with clients, business stakeholders, and cross-functional teams.

Governance & Best Practices

• Establish Pega guardrails, coding standards, and development best practices.
• Guide teams in PRPC optimization, performance tuning, security, and scalability.
• Ensure full compliance with Pega guardrails and Capgemini engineering practices.

Integration & Deployment

• Lead design for integrations with enterprise systems (REST/SOAP APIs, Databases, Queues, etc.).
• Review and optimize CI/CD pipelines and deployment strategies for Pega applications.

Mentoring & Capability Building

• Mentor and coach Pega developers and SSAs.
• Contribute to Pega competency building within Capgemini.
• Lead technical sessions, design forums, and innovation initiatives.

Requirements

Must Have

• Pega Lead System Architect (LSA) Certification – mandatory.
• 10+ years of IT experience, with 6+ years in Pega PRPC.
• Strong expertise in Pega 8.x architecture and modules.
• Experience in designing enterprise-scale Pega solutions with complex workflows.
• Strong knowledge of:

+ Case Management + Decisioning & Strategies + Data Pages, Integrations, Connectors + Authentication & Security + Performance tuning & guardrails

Technical Expertise

• End-to-end Pega application design, from requirements to deployment.
• Experience with databases (Oracle, Postgres, SQL), APIs, microservices, and enterprise systems.
• Understanding of cloud deployment (Pega Cloud, AWS, Azure) is a plus.

Soft Skills

• Excellent communication with strong client-facing capability.
• Ability to lead technical teams and work in an agile environment.
• Strong problem-solving and analytical thinking.

Benefits

• Competitive compensation and benefits package:

1. Competitive salary and performance-based bonuses
2. Comprehensive benefits package
3. Career development and training opportunities
4. Flexible work arrangements (remote and/or office-based)
5. Dynamic and inclusive work culture within a globally renowned group
6. Private Health Insurance
7. Pension Plan
8. Paid Time Off
9. Training & Development

Note: Benefits differ based on employee level.

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Key Responsibilities

Solution Architecture & Design

• Lead the overall architecture and design of large-scale Pega applications.
• Define reusable components, frameworks, data models, integrations, and design patterns.
• Ensure end-to-end solution alignment with business requirements and technical standards.
• Conduct architecture reviews, code reviews, and performance assessments.

Delivery Leadership

• Oversee the technical delivery of Pega programs across multiple workstreams.
• Provide technical leadership to developers, senior system architects (SSAs), and business architects (BAs).
• Resolve complex technical issues and ensure high-quality deliverables.
• Collaborate closely with clients, business stakeholders, and cross-functional teams.

Governance & Best Practices

• Establish Pega guardrails, coding standards, and development best practices.
• Guide teams in PRPC optimization, performance tuning, security, and scalability.
• Ensure full compliance with Pega guardrails and Capgemini engineering practices.

Integration & Deployment

• Lead design for integrations with enterprise systems (REST/SOAP APIs, Databases, Queues, etc.).
• Review and optimize CI/CD pipelines and deployment strategies for Pega applications.

Mentoring & Capability Building

• Mentor and coach Pega developers and SSAs.
• Contribute to Pega competency building within Capgemini.
• Lead technical sessions, design forums, and innovation initiatives.

Requirements

Must Have

Pega Lead System Architect (LSA) Certification – mandatory.

• 10+ years of IT experience, with 6+ years in Pega PRPC.
• Strong expertise in Pega 8.x architecture and modules.
• Experience in designing enterprise-scale Pega solutions with complex workflows.
• Strong knowledge of:

• Case Management
• Decisioning & Strategies
• Data Pages, Integrations, Connectors
• Authentication & Security
• Performance tuning & guardrails

Technical Expertise

End-to-end Pega application design, from requirements to deployment.

• Experience with databases (Oracle, Postgres, SQL), APIs, microservices, and enterprise systems.
• Understanding of cloud deployment (Pega Cloud, AWS, Azure) is a plus.

Soft Skills

Excellent communication with strong client-facing capability.

• Ability to lead technical teams and work in an agile environment.
• Strong problem-solving and analytical thinking.

Benefits

Competitive compensation and benefits package:

1. Competitive salary and performance-based bonuses
2. Comprehensive benefits package
3. Career development and training opportunities
4. Flexible work arrangements (remote and/or office-based)
5. Dynamic and inclusive work culture within a globally renowned group
6. Private Health Insurance
7. Pension Plan
8. Paid Time Off
9. Training & Development

Note: Benefits differ based on employee level.

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Key Responsibilities

Solution Architecture & Design

• Lead the overall architecture and design of large-scale Pega applications.
• Define reusable components, frameworks, data models, integrations, and design patterns.
• Ensure end-to-end solution alignment with business requirements and technical standards.
• Conduct architecture reviews, code reviews, and performance assessments.

Delivery Leadership

• Oversee the technical delivery of Pega programs across multiple workstreams.
• Provide technical leadership to developers, senior system architects (SSAs), and business architects (BAs).
• Resolve complex technical issues and ensure high-quality deliverables.
• Collaborate closely with clients, business stakeholders, and cross-functional teams.

Governance & Best Practices

• Establish Pega guardrails, coding standards, and development best practices.
• Guide teams in PRPC optimization, performance tuning, security, and scalability.
• Ensure full compliance with Pega guardrails and Capgemini engineering practices.

Integration & Deployment

• Lead design for integrations with enterprise systems (REST/SOAP APIs, Databases, Queues, etc.).
• Review and optimize CI/CD pipelines and deployment strategies for Pega applications.

Mentoring & Capability Building

• Mentor and coach Pega developers and SSAs.
• Contribute to Pega competency building within Capgemini.
• Lead technical sessions, design forums, and innovation initiatives.

Requirements

Must Have

Pega Lead System Architect (LSA) Certification – mandatory.

• 10+ years of IT experience, with 6+ years in Pega PRPC.
• Strong expertise in Pega 8.x architecture and modules.
• Experience in designing enterprise-scale Pega solutions with complex workflows.
• Strong knowledge of:

• Case Management
• Decisioning & Strategies
• Data Pages, Integrations, Connectors
• Authentication & Security
• Performance tuning & guardrails

Technical Expertise

End-to-end Pega application design, from requirements to deployment.

• Experience with databases (Oracle, Postgres, SQL), APIs, microservices, and enterprise systems.
• Understanding of cloud deployment (Pega Cloud, AWS, Azure) is a plus.

Soft Skills

Excellent communication with strong client-facing capability.

• Ability to lead technical teams and work in an agile environment.
• Strong problem-solving and analytical thinking.

Benefits

Competitive compensation and benefits package:

1. Competitive salary and performance-based bonuses
2. Comprehensive benefits package
3. Career development and training opportunities
4. Flexible work arrangements (remote and/or office-based)
5. Dynamic and inclusive work culture within a globally renowned group
6. Private Health Insurance
7. Pension Plan
8. Paid Time Off
9. Training & Development

Note: Benefits differ based on employee level.

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Key Responsibilities

Solution Architecture & Design

• Lead the overall architecture and design of large-scale Pega applications.
• Define reusable components, frameworks, data models, integrations, and design patterns.
• Ensure end-to-end solution alignment with business requirements and technical standards.
• Conduct architecture reviews, code reviews, and performance assessments.

Delivery Leadership

• Oversee the technical delivery of Pega programs across multiple workstreams.
• Provide technical leadership to developers, senior system architects (SSAs), and business architects (BAs).
• Resolve complex technical issues and ensure high-quality deliverables.
• Collaborate closely with clients, business stakeholders, and cross-functional teams.

Governance & Best Practices

• Establish Pega guardrails, coding standards, and development best practices.
• Guide teams in PRPC optimization, performance tuning, security, and scalability.
• Ensure full compliance with Pega guardrails and Capgemini engineering practices.

Integration & Deployment

• Lead design for integrations with enterprise systems (REST/SOAP APIs, Databases, Queues, etc.).
• Review and optimize CI/CD pipelines and deployment strategies for Pega applications.

Mentoring & Capability Building

• Mentor and coach Pega developers and SSAs.
• Contribute to Pega competency building within Capgemini.
• Lead technical sessions, design forums, and innovation initiatives.

Requirements

Must Have

Pega Lead System Architect (LSA) Certification – mandatory.

• 10+ years of IT experience, with 6+ years in Pega PRPC.
• Strong expertise in Pega 8.x architecture and modules.
• Experience in designing enterprise-scale Pega solutions with complex workflows.
• Strong knowledge of:

• Case Management
• Decisioning & Strategies
• Data Pages, Integrations, Connectors
• Authentication & Security
• Performance tuning & guardrails

Technical Expertise

End-to-end Pega application design, from requirements to deployment.

• Experience with databases (Oracle, Postgres, SQL), APIs, microservices, and enterprise systems.
• Understanding of cloud deployment (Pega Cloud, AWS, Azure) is a plus.

Soft Skills

Excellent communication with strong client-facing capability.

• Ability to lead technical teams and work in an agile environment.
• Strong problem-solving and analytical thinking.

Benefits

Competitive compensation and benefits package:

1. Competitive salary and performance-based bonuses
2. Comprehensive benefits package
3. Career development and training opportunities
4. Flexible work arrangements (remote and/or office-based)
5. Dynamic and inclusive work culture within a globally renowned group
6. Private Health Insurance
7. Pension Plan
8. Paid Time Off
9. Training & Development

Note: Benefits differ based on employee level.

XML job scraping automation by YubHub

Start with an opening paragraph (no heading): what the role is, who the company is, why it matters. If the ad mentions salary, include it here. One short paragraph about the company is enough — do not reproduce lengthy "About Us" text.

For the role details, reuse the same section headings from the original ad (e.g. if the ad says "Responsibilities", use that heading, not "What you'll do"). Match the tone of the original: if formal, stay formal. If casual, stay casual.

Rephrase bullet points in your own words while keeping the factual content. Combine related points where it makes sense.

Content that is not directly about the role (long company history, mission statements, investor lists, press quotes) should be paraphrased into a sentence or two at most — the job seeker needs to understand the company, not read its pitch deck.

For benefits/perks: gather them from anywhere in the ad into one section. If the ad mentions nothing about benefits, omit a benefits section entirely.

Do not invent information that is not in the original ad.

The Role

We're looking for a Founding Product Marketer who will serve as editor-in-chief for all external developer messaging while building the systems and orchestrating the execution that transforms how OpenRouter communicates with developers and customers. This is an IC PMM role with significant Founder and leadership exposure, at the intersection of product marketing and content creation. You ensure that every piece of content that leaves OpenRouter is technically accurate, strategically aligned, and resonates with technical audiences.

You will own the strategy and execution for product launches, model releases, feature announcements, and thought leadership. You'll create the templates, positioning frameworks, and processes that enable founders, engineers, and other builders to communicate authentically and consistently across social media, blog posts, and community channels. This role is about systematizing what works and building the messaging infrastructure that amplifies OpenRouter's technical authority through education, and accessible developer on-ramps.

You will use AI extensively to draft, edit, and prototype content and must have demonstrated experience using AI tools and agents as a part of a high-velocity communications calendar.

What You'll Do

• Serve as Editor-in-Chief: Own editorial quality for all external content—ensuring clarity, consistency, technical accuracy, and strategic alignment across everything OpenRouter publishes.

• Orchestrate and Systematize Content Strategy: Coordinate and enable internal builders and executives to communicate effectively, ensuring coverage of key product launches and a cohesive point of view across all channels.

• Own Product Launch Narratives: Develop positioning and messaging for new features, model integrations, and product releases that establish technical authority and differentiation.

• Build AI-Native Content Systems: Design and manage the "system prompts" for AI-assisted content creation—establishing guardrails, quality standards, and brand guidelines that enable scalable, high-quality output.

• Enable Founder-Led Marketing: Support executives with ghostwriting, content strategy, and messaging guidance for personal accounts on Twitter, LinkedIn, and other platforms.

What We're Looking For

• 5-7 years in product marketing or developer marketing, ideally at a technical platform, API-first company, or developer tool.

• Strong technical fluency with API products, developer workflows, and the ability to understand and communicate complex technical concepts clearly.

• Exceptional writing and editing skills with demonstrated ability to create compelling content across formats (blog posts, social media, web copy, positioning documents).

• Systems thinker with strong process design skills—you build frameworks and templates that enable others to execute consistently.

• Deep familiarity with developer communities on Reddit, Discord, and Twitter/X.

• Experience orchestrating content across multiple internal stakeholders and channels without direct management authority.

• Comfort with AI-native workflows—you embrace automation and AI-assisted content creation while maintaining editorial quality and strategic judgment. You have the technical fluency to serve as first-line reviewer of AI-generated content, validating technical accuracy before engineering review.

• Self-directed and comfortable with ambiguity—you can define the work, build the systems, and execute without a playbook.

Nice to Have

• Prior experience in AI/ML, LLM ecosystems, or developer infrastructure products.

• Track record launching technical products or features with strong content-led strategies.

• Experience building and managing content systems, style guides, and brand voice frameworks.

• Strong social media presence or demonstrated ability to create viral, engaging technical content.

• Familiarity with developer communities, technical Twitter, and how developers discover and evaluate infrastructure tools.

Why OpenRouter

• Work at the center of the AI infrastructure stack as enterprises define how they adopt LLMs.

• Build the content and positioning strategy for a product with clear, tangible ROI: cost efficiency, scalability, flexibility, and innovation velocity.

• High ownership and visibility with direct impact on how OpenRouter is perceived in the market.

• Competitive compensation, including base salary and equity.

• Fully remote team with a strong culture of autonomy and trust.

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Location

San Francisco

Employment Type

Full time

Department

Consumer Products

Compensation

• $293K – $325K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

The Systems Integration team is responsible for building the infrastructure, tooling, and validation systems that ensure our device software is reliable, testable, and ready to ship. We design and maintain automated test frameworks, hardware-in-the-loop labs, and release pipelines that keep quality signals trustworthy and enable rapid, safe product launches. Our work spans developer tools, automation, systems integration, and cross-team collaboration to ensure every release meets the highest standards.

About the Role

As a Software Engineer, Quality and Developer Tools, you will build and own the systems that validate our device software—from test frameworks and regression infrastructure to hardware-in-the-loop labs and release gates. You’ll design the tooling and automation that keep quality signals trustworthy, integrate them into CI/CD, and make it easy for engineers and QA vendor technicians to execute reliable, repeatable workflows.

Responsibilities

• Test infrastructure & frameworks: Design, implement, and maintain a unified test framework for device software across unit, integration, system, and end-to-end testing, with reproducible runs and integrations with GitHub, Linear, and Slack.

• CI/CD integration & releases: Integrate test suites with Buildkite, enforce promotion criteria for staging and production, auto-file regressions, and publish traceable artifacts and release notes.

• Hardware-in-the-loop lab design & orchestration: Plan and bring up racks, power and networking systems, and orchestration for device testing; support automated flashing, provisioning, and telemetry capture.

• Automation and developer tooling: Develop tools for API and firmware validation, result triage, log capture, replayable bug reports, and workflows that improve engineering velocity and debugging efficiency.

• Quality signals, metrics, and flake control: Build dashboards and alerts for pass rates, stability, and release readiness; detect and quarantine flaky tests; drive root-cause analysis with owners; and track delivery metrics that protect release health.

• Vendor enablement: Create clear procedures and tooling that allow QA vendor technicians to execute repeatable processes, review their reports, and maintain a queue of rig maintenance and repairs.

• Cross-team collaboration: Partner with embedded and systems software teams on testability, and with release infrastructure engineers on pipelines, signing, staged rollouts, and rollback/forward strategies.

Requirements

• Have deep experience building software quality, test automation, or developer tooling systems for hardware products shipped at scale.

• Are proficient in Python, C, C++, or Rust, and have strong Linux fundamentals, including processes, networking, storage, and udev/systemd.

• Have experience building CI/CD pipelines, artifact management systems, and reproducible or isolated test environments.

• Have demonstrated success designing and operating hardware-in-the-loop labs and device orchestration systems at scale.

• Are fluent with test reliability techniques such as failure triage, flake detection and quarantine, and signal-quality guardrails.

• Have strong debugging skills across software, firmware, devices, and release infrastructure.

• Work well across teams and enjoy improving the systems that make engineering and release processes more seamless.

What We Offer

• Competitive salary and equity package

• Comprehensive benefits package, including medical, dental, and vision insurance, 401(k) retirement plan, and paid parental leave

• Opportunities for professional growth and development, including training and mentorship programs

• Collaborative and dynamic work environment with a team of experienced professionals

• Flexible work arrangements, including remote work options

• Access to cutting-edge technology and tools

• Recognition and rewards for outstanding performance

How to Apply

If you are a motivated and experienced software engineer looking for a new challenge, please submit your resume and a cover letter explaining why you are a good fit for this role. We look forward to hearing from you!

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Location

San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Applied AI

Compensation

• $255K – $405K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

ChatGPT is a rapidly evolving system: new capabilities ship continuously, product surfaces change quickly, and usage patterns shift week-to-week. Supporting that pace requires infrastructure that can handle real production constraints—high concurrency, unpredictable traffic patterns, complex dependency graphs, and frequent change.

The job of ChatGPT Infrastructure is to build and operate the platforms that make fast iteration possible without breaking performance or reliability. We design the shared systems, data paths, rollout mechanisms, and reliability guardrails that teams rely on when shipping changes to ChatGPT at scale.

We focus on high-leverage infrastructure: primitives and “golden paths” that turn hard-won operational lessons into defaults—so engineers don’t need to rediscover the same failure modes, latency pitfalls, or integration issues each time they build something new.

About the Role

We’re hiring Senior and Staff engineers to design and build infrastructure systems that sit underneath ChatGPT and multiply the effectiveness of the teams building user experiences.

This is not a “keep the lights on” role. It’s a platform-building role: you’ll define interfaces, develop core abstractions, and create tooling that makes safe, fast iteration the norm. Your work will show up as less friction, fewer regressions, better performance, and systems that scale gracefully as the product expands.

Where You Can Have Impact

You might work on one or more of these areas (without being locked into any single lane):

• Platform foundations & frameworks: core libraries, service frameworks, and shared components that standardize how systems are built, integrated, and evolved.

• Scalability & performance primitives: patterns and infrastructure that reduce tail latency, improve throughput, and keep costs predictable as demand grows.

• Reliability guardrails: mechanisms that prevent outages by design—rate limiting, load shedding, dependency isolation, backpressure, safe fallbacks, and “make it hard to regress” controls.

• Developer productivity via golden paths: paved roads for common workflows (data access patterns, service integration patterns, request lifecycle patterns) that are fast, safe, and easy to use.

• Observability & debugging systems: instrumentation, metrics models, and investigative tooling that turn “it’s slow” into a precise, actionable diagnosis.

• Safe change management: deployment and rollout systems that support rapid iteration with confidence—progressive delivery, automated verification, and fast rollback strategies.

• Interface and contract design across boundaries: clean APIs and stable contracts that reduce coupling and allow independent evolution across a complex ecosystem.

What You’ll Do

• Build and evolve infrastructure platforms that many engineers and services depend on.

• Translate messy real-world constraints into clean abstractions: simple APIs, enforceable contracts, safe defaults.

• Drive improvements in reliability and performance through principled design, measurement, and iterative hardening.

• Partner across engineering and product to identify systemic pain points and turn them into reusable solutions.

• Own outcomes end-to-end: design → implementation → rollout → operational maturity.

Qualifications

**Minimum Qualifications

• Experience building and operating large-scale distributed systems in production (high throughput, concurrency, and failure handling).

• Strong fundamentals in systems design, including caching, consistency, queueing/backpressure, and resilient dependency management.

• Ability to reason about performance (latency distributions, tail behavior, bottlenecks) and translate that into concrete engineering work.

• Track record of building platforms

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San Francisco; New York City; Seattle

Employment Type

Full time

Department

Applied AI

Compensation

• $185K – $385K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

We’re building up the core Swift platform, from architecture to CI, that enables hundreds of engineers (and their agents) to develop new capabilities in ChatGPT, Atlas, Sora, and other rapidly evolving apps. Our focus is helping teams move quickly while improving on performance or reliability.

About the Role

We’re hiring Staff+ engineers with a variety of iOS platform backgrounds, including people who may specialize in performance, build/CI, or AI developer productivity. Whether you focus on UI frameworks or automated testing, your work will show up as less friction, less complexity, fewer regressions, and better performance.

If you're rethinking how to scale Swift development in the context of increasingly capable AI tools, this is the role for you.

We are hiring in San Francisco, New York and Seattle.

In this role, you may:

• Build and evolve foundational Swift frameworks used across multiple apps and platforms (caching, state management, observability, navigation, component systems).

• Improve app performance (startup, responsiveness, memory, battery) through profiling, visibility, regression prevention, or architecture patterns.

• Strengthen reliability: systemically reduce crashes, improve error handling, or drive release process improvements.

• Embed with product engineering teams in order to understand pain points or emerging infrastructure needs.

• Develop internal tooling and automation (Bazel, CI, testing, guardrails, Codex agent skills and systems) that increase engineering velocity.

• Translate messy real-world constraints into clean abstractions: simple APIs, enforceable contracts, safe defaults.

You might thrive in this role if you:

• Have strong iOS engineering fundamentals (Swift, concurrency, networking, Xcode ecosystem, some UIKit/SwiftUI) and are familiar with the latest features and practices.

• Gravitate towards platform problems: frameworks, architecture, performance, or tools that empower and accelerate others.

• Take ownership: continually identify the biggest risks/opportunities, drive projects to completion, and update quickly.

• Care about measurement: instrument, define metrics, run experiments, and iterate based on data.

• Have strong communication and collaboration skills—aligning on interfaces, navigating tradeoffs, and driving cross-team execution.

• Tend to think in systems, fight entropy, and enjoy an ambiguous challenge.

About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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What you'll do

Implement AI solutions to enable efficiency, expansion, and transformation across EA Experiences, directly aligned with EA Experiences' goals. You will:

• Stay informed on the evolution of AI technologies and opportunities to drive efficiency, expansion, and transformation
• Have a deep understanding of AI technologies and solutions, specifically focusing on how they can be integrated into business processes and systems to enhance efficiency
• Collaborate EA Experiences teams to understand their business, processes, opportunities, and challenges.
• Identify opportunities for developing creative AI solutions that enable our teams to focus on creative and innovative work that keeps our fans at the center of what we do
• Be an AI evangelist, promoting the use of AI as a force-multiplier

What you need

• 4+ years experience rapidly prototyping and deploying robust production solutions incorporating software engineering, infrastructure, architectural, and security best practices
• Excellent Python development skills are required, C#, JavaScript, HTML, and CSS are strongly preferred
• Experience using agentic AI software engineering solutions such as Cursor, GitHub CoPilot, or Claude Code
• Extensive experience engineering AI solutions and excellent working knowledge of:
• Prompt and context engineering
• AI agents, agentic architectures, tool calling, and Model Context Protocol (MCP)
• AI assistants, RAG, embeddings, and vector databases
• Model tuning, evaluation, benchmarking, and guardrails
• An excellent understanding of architecture, design principles, and cloud services, such as:
• AWS (Azure, and GCP cloud services are optional)
• Enterprise architecture and microservices design
• Observability and telemetry
• Infrastructure as code and CI/CD
• Data science experience is beneficial
• Content production (e.g. marketing) is strongly beneficial
• Experience navigating the legal, ethical, and security implications for AI
• Thrive working both collaboratively and independently
• Excellent creative, critical thinking, and problem solving skills
• Enjoy and prioritize continual learning- and staying up to date with the newest technologies and solutions and can understand how they can benefit EA Experiences
• Demonstrated ability to clearly and succinctly articulate complex concepts at a senior level
• Experience integrating AI solutions specifically with AAA Console/PC games and businesses is beneficial
• Experience with game engines is beneficial (Unity, Unreal)

Why this matters

This role is a key part of our EA Experiences team, and will help us to create innovative AI solutions that keep our fans at the center of everything we do. As an AI Solutions Engineer, you will be working closely with teams across EA Experiences to develop and implement cutting-edge AI solutions that provide increased efficiency and help our teams focus on what matters most, our fans.

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What you'll do

Implement AI solutions to enable efficiency, expansion, and transformation across EA Experiences, directly aligned with EA Experiences' goals. You will:

• Stay informed on the evolution of AI technologies and opportunities to drive efficiency, expansion, and transformation
• Have a deep understanding of AI technologies and solutions, specifically focusing on how they can be integrated into business processes and systems to enhance efficiency
• Lead collaborative efforts with EA Experiences teams to understand their business, processes, opportunities, and challenges.
• Identify opportunities for developing creative AI solutions that enable our teams to focus on creative and innovative work that keeps our fans at the center of what we do
• Be an AI evangelist, promoting the use of AI as a force-multiplier

What you need

• 4 years + experience rapidly prototyping and deploying robust production solutions incorporating software engineering, infrastructure, architectural, and security best practices
• Python development skills, C#, JavaScript, HTML, and CSS is beneficial
• Experience using agentic AI software engineering solutions such as Cursor
• Extensive experience engineering AI solutions and excellent working knowledge of:
• Prompt and context engineering
• AI agents, agentic architectures, tool calling, and Model Context Protocol (MCP)
• AI assistants, RAG, embeddings, and vector databases
• Model tuning, evaluation, benchmarking, and guardrails
• A comprehensive understanding of architecture and design principles, and cloud services, such as:
• AWS, Azure, and GCP cloud services
• Enterprise architecture and microservices design
• Observability and telemetry
• Infrastructure as code and CI/CD
• Experience navigating the legal, ethical, and security implications for AI
• Thrive working both collaboratively and independently
• Excellent creative, critical thinking, and problem solving skills
• Enjoy and prioritize continual learning- and staying up to date with the newest technologies and solutions and can understand how they can benefit EA Experiences
• Demonstrated ability to clearly and succinctly articulate complex concepts at a senior level
• Experience integrating AI solutions specifically with AAA Console/PC games and businesses is beneficial

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