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Product Security Engineer Jobs

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Explore current product security engineer jobs. Use filters to narrow by work mode, employment type, experience and date posted.

YI
8mo ago

Meet Yubico Yubico is a global leader in identity security and creator of the YubiKey, the original hardware-backed passkey. We are publicly traded on Nasdaq Stockholm; our global footprint includes headquarters in Stockholm, Sweden, Silicon Valley, California; and Singapore. Why Join Our Mission? At Yubico, we are guided by a shared belief that your work matters. We operate under a cultural philosophy of Speed with Integrity , pushing the boundaries of technology to secure the AI frontier—protecting both human and agentic AI interactions—and leading the transition to post-quantum cryptography. In everything we do, we live by our core values: Battle Friction: We constantly look for new ways to simplify our products, our work, and the user experience. Inspire Higher: We think big, champion the open internet, and strive to do the right thing even when it is difficult. One Team: We are open, responsive, and collaborative, overcoming challenges and celebrating our successes together. Aligned with our commitment to open standards, we foster a thriving builder ecosystem through the Yubico Developer Program , offering free open-source repositories , libraries, and SDKs to help developers rapidly integrate strong hardware authentication into any application. Through close collaborations with technical partners like Google, Microsoft, and Amazon, as well as newer frontiers like OpenAI, we continue to shape a safer digital world while donating security keys to protect vulnerable communities, journalists, and humanitarian groups worldwide through our Secure it Forward program. Tasks & Responsibilities: Implement, maintain and optimize cryptographic algorithms and primitives (e.g. encryption, hashing, digital signatures, key exchanges) that run on YubiKeys and YubiHSMs Follow research about classical algorithms (RSA, ECC, etc.), as well as Post Quantum Cryptography algorithms (ML-DSA, ML-KEM, etc.) Basic Qualifications: Ability to follow research in cryptography Good unders

airecruitment
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Vanta
📍 United States• Full-time• Remote• $190K – $224K/yr
20 days ago

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. As a Senior Analytics Engineer, you’ll be responsible for laying the foundation for a best-in-class analytics function. You’ll partner closely with our data science team and business stakeholders to ensure that our analytics stack and processes meet the business needs today with an eye towards the future. What you’ll do as an Senior Analytics Engineer at Vanta: Design and implement complex data models to enable dashboards, self-serve analytics, and data science teams. Write highly tuned, scalable SQL queries running over large-scale, heterogeneous data warehouses. Enable AI tooling with semantic layers and observability, guiding analytics functions on best practices. Manage and improve data infrastructure needed to drive data-driven decision-making solutions. Help develop front end applications to expose analytical data sets enterprise wide Work with the Product and Corporate Engineering system teams to structure source systems for reporting consumption across the enterprise. How to be successful in this role: Have at least eight years of experience working with data and two years of experience in Software Engineering or a related field. Have experience with common analytics tooling (e.g. dbt is a must, Stitch/Fivetran, Snowflake/BigQuery/Redshift, Airflow, Dagster, Looker/Mode/Sigma). Bring a system-oriented and software engineering mindset to the Analytics Engineering practice. We’re looking to build frameworks that manage data, and minimize bespoke queries. Deep knowledge of crafting dimensional and fact models in modern data fashion. Have a passion for enabling the developer experience of data, and being obsessed with givin

REMOTEsqlai
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Vanta
📍 United States• Full-time
2mo ago

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. As a Data Engineer, you’ll be responsible for laying the foundation for a best-in-class analytics function. You’ll partner closely with our engineering team and business stakeholders to ensure that our analytics stack and processes meet the business needs today with an eye towards the future. Visit our Vanta Engineering Blog to learn more about what our team is working on! What you’ll do as a Senior Data Engineer at Vanta: Design and deploy data infrastructure needed to drive data-driven decision-making solutions Design and implement complex data orchestration models, modeling metadata, scaling reporting tools for data science and ML products users Be the company’s expert on data administration, data management and scalable data systems Write highly tuned, scalable SQL queries running over large-scale, heterogeneous data warehouses Work with the Product and Enterprise Engineering system teams to structure source systems for reporting consumption across the enterprise Help maintain CDC pipelines to power customer reporting Help develop front end applications to expose analytical data sets enterprise wide How to be successful in this role: Have at least four years of experience working with data and two years of experience in Software Engineering or a related field. Have experience with common analytics tooling (e.g. Stitch/Fivetran, Snowflake/BigQuery/Redshift, dbt, Airflow, Dagster). Have good working knowledge of AWS data infra systems and Terraform. Bring a system-oriented and software engineering mindset to the Data Engineering practice. We’re looking to build frameworks that manage data, and minimize bespoke queries Deep kn

sqlawsrest
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V
Vanta
📍 United States• Full-time• Remote• $157K – $185K/yr
2mo ago

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. As a Senior Analytics Engineer, you’ll be responsible for laying the foundation for a best-in-class analytics function. You’ll partner closely with our data science team and business stakeholders to ensure that our analytics stack and processes meet the business needs today with an eye towards the future. What you’ll do as an Senior Analytics Engineer at Vanta: Design and implement complex data models to enable dashboards, self-serve analytics, and data science teams. Write highly tuned, scalable SQL queries running over large-scale, heterogeneous data warehouses. Enable AI tooling with semantic layers and observability, guiding analytics functions on best practices. Manage and improve data infrastructure needed to drive data-driven decision-making solutions. Help develop front end applications to expose analytical data sets enterprise wide Work with the Product and Corporate Engineering system teams to structure source systems for reporting consumption across the enterprise. How to be successful in this role: Have at least four years of experience working with data and two years of experience in Software Engineering or a related field. Have experience with common analytics tooling (e.g. dbt is a must, Stitch/Fivetran, Snowflake/BigQuery/Redshift, Airflow, Dagster, Looker/Mode/Sigma). Bring a system-oriented and software engineering mindset to the Analytics Engineering practice. We’re looking to build frameworks that manage data, and minimize bespoke queries. Deep knowledge of crafting dimensional and fact models in modern data fashion. Have a passion for enabling the developer experience of data, and being obsessed with giving

REMOTEsqlai
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We are fueled by a moral imperative to advance mankind, and it all begins with our people, our product, and our purpose. Passion isn’t something we turn on and off; it’s woven into everything we do. If you thrive in high-challenge environments, are inspired by exceptional teammates, and are driven to grow beyond what you thought possible, MX is where you belong. Come build the future with us. Join an award-winning company that isn’t just shaping the financial industry, but transforming it in ways that create meaningful, lasting impact for millions of people. At MX, reliability is a product. Our infrastructure powers financial applications used by millions of people and processes billions of transactions for major financial institutions, and customers feel every second of downtime. We're building a new observability function that runs the way we run incident response: the system does the heavy lifting, and people handle judgment, customers, and the exceptions. As a Senior Observability Engineer, you build and operate an observability control plane. You scaffold baselines, score coverage, and turn every real incident into the detection the platform should have caught. This is a multiplier role: you raise the bar for every team through standards and automation instead of building each team's dashboards by hand. We call it the shepherd model. You shepherd Datadog and partner with our product engineering teams so they observe the right signals for their products. Service owners get real signal instead of noise, and leadership gets coverage and health as a program metric. This role shares the team pager. Observability and incident response run one on-call roster. You take shifts with the rest of the team and act as Incident Commander when an incident needs one. It is core to the role, not an afterthought. Engineering at MX runs hybrid infrastructure (AWS and bare metal) with services in Ruby, Go, and Java, messaging over NATS and RabbitMQ, and data on PostgreSQL an

pythonjavapostgresql
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Huntress
📍 United States• $200K – $230K/yr
3mo ago

What We Do: Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact. Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection. Huntress now secures more than 5M endpoints and 16M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other. Reports to: Manager, Product Research Location: Remote, US Compensation Range: $200,000 to $230,000 base plus bonus and equity What You’ll Do: The Huntress Product Research team has the unique honor of waking up every morning knowing we’re going to make hackers regret targeting our partners and customers. As a Principal Product Researcher, we’re looking for someone who wants to pour all of their creativity into building and implementing simple solutions that are disproportionately effective at countering these constantly evolving threats. Competitive candidates have experience managing, deploying, and securing SMB environments utilizing a wide variety of security software, best practices, and automation tools. Familiarity with product management, incident response, social engineering, psychology, education, and managed service provider tools is an additional way to d

pythonartificial intelligenceai
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Huntress
📍 United States• $200K – $220K/yr
4mo ago

What We Do: Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact. Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection. Huntress now secures more than 5M endpoints and 16M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other. Reports to: Engineering Manager Location: Remote US Compensation Range: $200,000 to $220,000 base plus bonus and equity What You’ll Do: The Huntress team is looking for an innovative and highly motivated Staff Software Engineer with excellent problem-solving and communication skills to join our Identity Security Posture Management (ISPM) team. This is a new product which is generally available on July 1st and already has very strong engagement within our customer base. You will be instrumental in building and growing this product from its roots. You will be part of a growing product team that is strategically key to protecting the 99% from cyber attacks. In this role, you will focus on creating the technical vision and implementing new and exciting features from the product roadmap. You will work closely with a product manager, senior engineer

postgresqlredisartificial intelligence
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C
6mo ago

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! About the Role We're looking for an Engineering Manager to lead our Deployment Engineering team in EMEA. This isn't a typical management role — we need someone who leads from the front, gets their hands dirty, and drives impact. You'll manage a team of Forward Deployed Engineers who are on the front lines of deploying Cohere's North platform into customer environments. You should be ready to be a force to be reckoned with. Location: UK (can be remote but based in UK) What You'll Do Lead and mentor a team of Forward Deployed Engineers across EMEA Drive end-to-end deployment of North in private cloud and on-premises environments Take ownership of customer success from technical implementation through delivery Collaborate closely with Product, Engineering, and Sales to shape how we deliver AI to enterprises Mentor your team on cloud infrastructure, Kubernetes, and enterprise-grade deployments Optimize performance for OpenSearch, databases, and other K8s services Define scaling guidelines for GPU and CPU compute resources Build processes & technology that scales — we're growing fast. What We're Looking For 5+ years of experience

awsazuregcp
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Stripe
📍 From The• Remote
1mo ago

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 Abuse Research Group (ARG) handles proactive threat hunting and adversary behavior analysis across Stripe products. Rather than reacting to alerts, the team maps end-to-end fraud and abuse paths, validates novel attack vectors, and identifies product conditions that enable fraud. Using agentic automated testing and simulation tools, ARG translates research into actionable threat advisories, strategic control recommendations, and regression scenarios to systematically eliminate vulnerabilities. What you’ll do As an Abuse Research Engineer in the Abuse Research Group, you will play a critical role in safeguarding Stripe’s financial ecosystem by proactively hunting for advanced threats, dissecting complex fraud vectors, and extracting actionable adversary intelligence. Rather than relying solely on reactive alerts, you will develop and execute hypothesis-driven threat hunting operations across internal telemetry and external sources to uncover fraudulent tools, tactics, and techniques (TTPs) before they impact Stripe’s platform. Central to this work is FT3 (Fraud Taxonomy 3.0), Stripe’s multi-layered taxonomy that decomposes monolithic fraud into structured kill chains. Collaborating cross-functionally with Fraud Ops, Strategy, Risk, Onboarding, and Security, you will integrate threat intelligence, build agentic simulation workflows, and systematically eliminate product vulnerabilities. Responsibilities Proactive Threat Hunting &amp

REMOTEpythonsql
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What We Do: Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact. Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection. Huntress now secures more than 5M endpoints and 16M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other. Reports to: Engineering Manager Location: Remote US Compensation: $215,000 to $240,000 base plus bonus and equity What You’ll Do: The Huntress team is looking for an innovative, highly motivated, and self-driven Principal Software Engineer to join our Huntress SIEM team. As a Principal Software Engineer at Huntress, you will be responsible for leading a feature delivery team in the design, development, and high-quality release of software features for the Huntress SIEM Platform that provides for automated detection and human-powered threat hunting. You will focus on creating the technical vision for new and exciting features from the product roadmap. You’ll be working with a smart and diverse team of problem solvers who exhibit high energy, deep technical skills, and a drive to get things done. As a Principal Software Engineer, you will work closely with the pl

javascriptawsazure
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Huntress
📍 United States• $200K – $220K/yr
4mo ago

What We Do: Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact. Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection. Huntress now secures more than 5M endpoints and 16M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other. Reports to: Engineering Manager Location: Remote US Compensation Range: $200,000 to $220,000 base plus bonus and equity What You’ll Do: The Huntress team is looking for an innovative and highly motivated Staff Software Engineer with excellent problem-solving and communication skills to join our Endpoint Security Posture Management (ESPM) team. This is a new product which will be generally available on October 1. You will be instrumental in building and growing this product from the ground up. You will be part of a growing product team that is strategically key to protecting the 99% from cyber attacks. In this role, you will focus on creating the technical vision and implementing new and exciting features from the product roadmap. You will work closely with one of our co-founders to develop this market-defining solution. At Huntress, Staff Engineers are ex

postgresqlartificial intelligenceai
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Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Staff DevOps / Platform Engineer to join our team. This is a Hybrid (3 days a week on-site in Mohali) role, reporting to the Director, Product Revenue in the Product Operations department. This individual contributor role owns DevOps, AWS infrastructure, release reliability, security hygiene, and platform maintainability for a business-critical internal platform while leveraging practical AI-assisted development workflows to improve delivery speed and quality. What you’ll do (Role Expectations) Own DevOps, CI/CD, deployments, monitoring, logging, production support, and operational reliability for an existing business-critical internal platform Manage and improve AWS infrastructure using Terraform, including secure access controls, integrations, secrets practices, and infrastructure hygiene Ensure weekly releases are safe through testing, rollback planning, monitoring, post-release che

javascripttypescriptpython
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Zscaler
📍 United States• Remote• $175K – $190K/yr
13 days ago

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. We are looking for a Product Sales Account Executive - AI Security to join our team. This is a Remote (US-based) role in the Sales and Go-to-Market department. We are seeking a dynamic and enthusiastic Product Sales Account Executive to accelerate growth in the highly competitive world of AI cybersecurity. In this combined customer acquisition and management role, you will leverage communication skills, a consultative approach, and sales expertise to demonstrate platform value from discovery calls through deal closure while building lasting relationships with CISOs, AI development engineers, and security leaders. What you’ll do (Role Expectations) Conduct strategic prospecting, lead qualification, and early-stage pipeline development across targeted enterprise accounts Engage CISOs, AI development engineers, and security decision-makers to articulate Zscaler's AI security value proposition Partner with Sales Engineer

REMOTEai
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A
Asana
📍 San Francisco• $297K – $350K/yr
15 days ago

The AI organization at Asana builds the platform and products that bring AI into how the world's teams work. That includes AI Teammates that take on work alongside people, the orchestration layer that lets agents plan and act across the Work Graph, and the AI platform that every AI feature at Asana runs on. The platform covers model access, retrieval, context, evaluation, and production quality. We are looking for a Senior Staff Software Engineer to set technical direction across this organization. You will lead the hardest cross-team problems in AI at Asana, make architectural calls that hold up as models and the industry shift underneath us, and help senior leadership shape where AI takes the product next. The scope spans multiple engineering teams across San Francisco, New York, Vancouver, and Warsaw. This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Define the technical vision and architecture for Asana's AI Org that includes AI platform, Agent systems and Studio in partnership with engineering and product leadership Partner with Product, Design, Data Science, Security, and Legal to take ambitious AI products from prototype to reliable, trusted enterprise features Lead strategic initiatives that span multiple teams, such as agent runtime and orchestration, context and memory for agents grounded in the Work Graph, and reliable, cost-efficient LLM inference at enterprise scale Set the bar for how Asana measures AI quality, including offline and online evaluation, production monitoring, and the feedback loops that turn real usage into better agents Make and guide high-stakes technical d

machine learningai
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Asana
📍 New York• $365.5K – $380K/yr
19 days ago

The Platform organization at Asana builds the services and shared experiences that every Asana product runs on. That starts with the Work Graph, where our customers' work lives, and the APIs that let people and AI agents act on it. It extends to the events and reporting systems built on the graph, to the extensibility layer that connects Asana to the tools and agents our customers use, and to new shared experiences that are used by all Asana’s customers. We are looking for a Principal Software Engineer to be the senior technical leader of this organization. You will own the architecture that Asana's products and customers build on, and drive the initiatives too large or too risky for any one team to carry. You will work with Asana's most senior leaders to connect engineering plans to business outcomes, and shape where the platform takes the company next. This role is based in our New York office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you'll achieve Set technical direction across Asana's platform, from the Work Graph and its data model to the ecosystem of APIs and shared experiences that products, integrations, and agents build on Partner across the R&D organization, Security, and Legal to drive a portfolio of high-stakes, long-term initiatives that create leverage in how we build Set the bar for good platform design, including interface design, separation of concerns, and reliability and functional guarantees Make the high-stakes calls on build versus buy, on vendors, and on how to replatform without stopping product delivery, and make sure those decisions age well Bring a grounded view of the industry, and of how AI agen

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