Software Product Security Engineer in United States

About OfficeSpace: OfficeSpace Software provides the leading AI operating system for the built world, that helps teams plan, connect, and perform in the workplace. As a performance-based, PE-backed company, we hire based on merit and a willingness to do what it takes to succeed long-term. You’re a great fit for the role if you’re entrepreneurial, passionate, motivated by building at light speed, and an Agentic AI early adopter. Our world-class teams operate in the US, Canada, and Costa Rica in a culture of trust, respect, growth, and impact. Role Summary: You win new logos. Full stop. As a Enterprise Account Executive, you own the end-to-end motion of bringing new customers into OfficeSpace. You run disciplined, value-led sales cycles with senior decision-makers and use AI-powered tools to prospect smarter, sell faster, and close with confidence. We give you a market-leading platform. You turn it into revenue. What You’ll Do: Own new-logo acquisition across a defined Enterprise territory—build pipeline, run deals, and close. Lead buyer-driven, value-based sales cycles with C-level, VP, and Director stakeholders. Orchestrate AI-assisted prospecting to identify high-intent accounts and create net-new opportunities. Translate workplace, facilities, and real estate challenges into clear, quantifiable business value. Deliver sharp, compelling product demos that connect OfficeSpace capabilities to real-world outcomes. Guide AI-generated proposals, pricing models, and forecasts—ensuring accuracy, clarity, and impact. Negotiate contracts and commercial terms with confidence and discipline. Maintain rigorous pipeline hygiene and forecasting using Salesforce and revenue intelligence tools. Partner with Marketing and Business Development to accelerate deal velocity and improve win rates. Share frontline market feedba

Who Are We? Postman is the world’s leading API platform, used by more than 45 million+ developers and 500,000 organizations, including 98% of the Fortune 500. Postman is helping developers and professionals across the globe build the API-first world by simplifying each step of the API lifecycle and streamlining collaboration—enabling users to create better APIs, faster. The company is headquartered in San Francisco and has offices in Boston, New York, Austin, Tokyo, London, and Bangalore - where Postman was founded. Postman is privately held, with funding from Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Learn more at postman.com or connect with Postman on X via @getpostman. P.S: We highly recommend reading The "API-First World" graphic novel to understand the bigger picture and our vision at Postman. ** Please note that we're requiring in-office. The team is based in Austin, TX -- remote is not an option** What You’ll Do Design, develop, and maintain software using modern languages. Collaborate with cross-functional teams to define, design, and ship new features. Troubleshoot and resolve complex technical issues across various programming languages and technologies. Engage with customers to gather feedback, understand their needs, and provide technical support when required. Mentor and guide other engineers, promoting best practices in software development. Participate in code reviews to ensure high-quality code and maintainable systems. Stay current with industry trends and emerging technologies, integrating them into our products where applicable. Contribute to the overall architecture and technical strategy of the company. About You 5+ years of experience in software development, preferably in a startup environment. Proficient in Typescript, and/or Python, Java, Go, C#, or PHP Strong technical skills and experience working with developer tools and APIs. Profi

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, Singapore and São Paulo. The Role The Advisor Experience team is a new engineering team within Addepar’s Core Product Engineering organization, focused on building the products and experiences that define how financial advisors and their clients interact on the Addepar platform. Initially this role will focus on our new Secure Message Center — a compliant messaging experience built into Addepar’s client portal — but the scope extends well beyond messaging. We’re building the connective tissue between advisors and the investors they serve, creating workflows that make every interaction more informed, more personal, and more seamless. As the Engineering Manager for this team, you’ll lead a small, growing group of engineers and shape both the technical direction and team culture from the early stages. You’ll partner closely with product management and design to translate an ambitious product vision into shipped software. Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship (for example, employment-based visas such as H-1B , F-1 /OPT, or similar), and must be authorized to begin work in the U.S. on their first day of employment. What You'll Do Lead, mentor, and grow a team of full-stack en

About Us: YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments. Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers—ranging from the world’s top investment funds to Fortune 500 companies—depend on to drive high-stakes decisions. From sourcing and licensing novel datasets to rigorous analysis and expert narrative framing, our teams ensure clients get not just data, but clarity and confidence. We operate globally with offices in the US, APAC, and India. Our award-winning, people-centric culture—recognized by Inc. as a Best Workplace for three consecutive years—emphasizes transparency, ownership, and continuous mastery. What It’s Like to Work at YipitData: YipitData isn’t a place for coasting—it’s a launchpad for ambitious, impact-driven professionals. From day one, you’ll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers. Why Top Talent Chooses YipitData: Ownership That Matters : You’ll lead high-impact projects with real business outcomes Rapid Growth : We compress years of learning into months Merit Over Titles : Trust and responsibility are earned through execution, not tenure Velocity with Purpose: We move fast, support each other, and aim high—always with purpose and intention If your ambition is matched by your work ethic—and you're hungry for a place where growth, impact, and ownership are the norm—YipitData might be the opportunity you’ve been waiting for. About Our Private Investor Business: YipitData has an opportunity to revolutionize the private investor market by providing something that has neve

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: The Relevance and Personalization team at Airbnb is responsible for search and recommendation across the entire Airbnb digital platform. Be a leader in the team working on critical, impactful projects with focus on developing end-to-end ranking algorithms and ecosystems for optimizing multiple critical business objectives. The Difference You Will Make: We build cutting-edge AI technologies across the end-to-end search ranking product stack w.r.t. data pipelines, feature and model innovations, serving and experimentation efficiency, leveraging rich signals from various types of data (structured, sequential, image, text, etc) at Airbnb. We collaborate closely with teams across Airbnb to develop the ranking solutions and support a healthy marketplace for hosts and guests to further Airbnb’s mission of creating a world where people can Belong Anywhere. Some past publications from the team can be found here: https://sites.google.com/view/airbnb-relevance-publications/home A Typical Day: Work with large scale structured and unstructured data, build and continuously improve cutting edge Machine Learning models for Airbnb product, business and operational use cases. Work collaboratively with cross-functional partners including software engineers, product managers, operations and data scientists, identify opportunities for business impact, understand, refine, and prioritize requirements for machine learning models, drive engineering decisions, and quantify impact. Hands-on develop, productionize, and operate Machine Learning models and pipelines at scale, including both batch and

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: Airbnb’s mission is to create a world where anyone can belong anywhere. Airbnb Payments team supports this mission by economically empowering Airbnb businesses and our global community of guests and hosts. Payments is a core part of Airbnb’s business and guest/Host experience, operating across global markets, currencies, payment methods, regulatory environments, and partner integrations. We build and operate Airbnb’s in-house payments platform to support global scale, reliability, compliance, and product flexibility. The team works closely with Product, Design, Data Science, Finance, Legal, Compliance, Operations, and external payment partners to deliver trusted payment experiences for our community. The Difference You Will Make: As an Engineering Manager on Payments, you will lead one or more engineering teams responsible for building and operating critical payments systems. You will set clear team priorities, create an environment where engineers and technical leads can do their best work, and partner cross-functionally to deliver high-quality outcomes for Airbnb's guests, Hosts, and business. You will be expected to navigate complex and ambiguous problems, balance near-term execution with long-term platform health, and help define a roadmap that supports scale, reliability, regulatory needs, and product innovation. You will partner closely with technical leads to make sound engineering decisions, reduce systemic technical debt, and uphold operational excellence for systems that move money at global scale. This role requires strong people leadership, technical judgment, stakeholde

At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 40,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. As a small team, we’re all generalists that work across the full stack (built in Typescript end-to-end). We’re looking for experienced engineers that thrive in an environment of autonomy and individual responsibility to help us build the future of product development. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in the US and Europe. You can work from anywhere within those regions. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you'll do Build new user-facing features with everything from database models to GraphQL resolvers and UI components Optimize our data synchronization stack by applying better serialization protocols Add real-time collaborative editing to our content editor Improve performance by profiling and tweaking virtualized list rendering Add analytics, monitoring, and alerts to our service so that we can better respond to operational incidents Open-source any non-trivial innovations that come out of our work on the product Redefine best-in-class software development processes so that we can build a purpose-built product. What we're looking for 5+ years of experience building customer-facing products at a high-quality software company Strong React and Typ

About the job Midjourney is an independent research lab exploring new mediums of thought and expanding the imaginative powers of the human species. We are a small, self-funded team focused on design, human infrastructure, and AI. We don't think the future should look like yesterday's software. Our design team works across research, engineering, and product to make new capabilities feel intuitive, fun to use, and deeply human. We're looking for a Design Lead to help lead that effort. You'll partner closely with our Chief Design Officer to shape the future of Midjourney's products while building and leading the product design team. This isn't a traditional management role. You’ll spend meaningful time designing, prototyping, reviewing work, and solving difficult product problems alongside your team. Most days you will be helping exceptional designers do the best work of their careers by building with them. If your favorite part of leadership is modeling what good looks like by collaborating and getting your hands dirty with your team, you’ll probably enjoy it here. What you'll do Work closely with the Chief Design Officer to shape the direction of Midjourney's products. Recruit, mentor, and lead the product design team. Stay close to the work by designing key product experiences and helping teams solve their hardest design problems. Partner closely with engineering and research to turn new tech into intuitive product experiences. Establish design reviews and operating rhythms that help the team do its best work. Ensure a coherent experience across Midjourney's growing portfolio of products. You might be a fit if You've spent the last decade designing software people love to use. You've led design teams, but you still want to be in Figma every day. You're as comfortable thinking through product strategy as you are refining a single interaction. You work well with engineers and like building things that don't have established playbooks. You care about craft and iterate

About the job Midjourney is an independent research lab exploring new mediums of thought and expanding the imaginative powers of the human species. We are a small, self-funded team focused on design, human infrastructure, and AI. Most of the products we build don't have obvious precedents. We need a QA practice that helps us understand how they'll behave in the real world, identify problems early, and ship with confidence. You'll work closely with product, design, and engineering throughout development, helping teams identify problems early and ship with confidence. This isn't a role where you'll spend your days executing checklists. We expect you to think critically about how products behave, investigate difficult issues, improve how we test software, and go deep on the projects that matter most. If your favorite part of the job is making products noticeably better—and helping everyone around you build with more confidence—you'll probably enjoy it here. What you'll do Partner closely with product, design, and engineering throughout the development process. Stay close to the work by leading testing efforts on our most important product initiatives. Go deep on difficult problems—whether that's investigating a difficult bug, identifying edge cases, improving test coverage, or helping a team understand how a product behaves in the real world. Design thoughtful test plans and identify issues before they reach users. Help improve how we test software through better tooling, automation, and testing practices. Reproduce issues, identify root causes, and verify fixes before release. You might be a fit if You've spent the last several years testing software people actually use. You enjoy understanding how products behave, not just whether they work. You're as comfortable investigating a subtle bug as you are thinking through an entire user flow. You work well with designers, engineers, and product managers. You care about quality and believe the best testing happens througho

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: The Relevance and Personalization team at Airbnb is responsible for search and recommendation across the entire Airbnb digital platform. Be a leader in the team working on critical, impactful projects with focus on developing end-to-end ranking algorithms and ecosystems for optimizing multiple critical business objectives. The Difference You Will Make: We build cutting-edge AI technologies across the end-to-end search ranking product stack w.r.t. data pipelines, feature and model innovations, serving and experimentation efficiency, leveraging rich signals from various types of data (structured, sequential, image, text, etc) at Airbnb. We collaborate closely with teams across Airbnb to develop the ranking solutions and support a healthy marketplace for hosts and guests to further Airbnb’s mission of creating a world where people can Belong Anywhere. Some past publications from the team can be found here: https://sites.google.com/view/airbnb-relevance-publications/home A Typical Day: Work with large scale structured and unstructured data, build and continuously improve cutting edge Machine Learning models for Airbnb product, business and operational use cases. Work collaboratively with cross-functional partners including software engineers, product managers, operations and data scientists, identify opportunities for business impact, understand, refine, and prioritize requirements for machine learning models, drive engineering decisions, and quantify impact. Hands-on develop, productionize, and operate Machine Learning models and pipelines at scale, including both batch and real-

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: As a Senior Machine Learning Engineer, you will be a part of Airbnb's innovative pricing guidance team. Our team is a diverse group of engineers, data scientists, and product managers who are dedicated to creating optimal pricing models for our hosts. We work closely with product engineers, designers, and other cross-functional partners to ensure our models are effective, user-friendly, and contribute to the success of our hosts. ners The Difference You Will Make: In this role, you will be responsible for developing and refining machine learning models for pricing recommendations, with a particular focus on reinforcement learning techniques. Success in this role will be measured by the accuracy and effectiveness of these models, and their impact on host success rates. You will also be involved in project planning and prioritization, ensuring that our team's efforts align with Airbnb's broader strategic goals. A Typical Day: Collaborating with data scientists and product managers to understand project requirements and desired outcomes Developing, testing, and refining machine learning models, particularly reinforcement learning models, for pricing recommendations Analyzing model performance and making necessary adjustments Presenting findings and progress updates to team members and stakeholders Working with product engineers and designers to integrate models into user-friendly tools for hosts Your Expertise: 5+ years of experience in machine learning engineering Proven experience in developing and implementing machine learning models, preferably reinforcement learning mo

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: The Media Foundation team builds the core platforms and infrastructure that power photo and video capture, upload, processing, storage, and delivery across Airbnb's products, at a massive global scale. We partner closely with Product, Design, Data Science, Trust, and Infrastructure teams to ensure every image and video guests and Hosts see is fast, high-quality, and reliable, from the moment a Host uploads a photo to the moment a Guest views it in search results. The Difference You Will Make: As the Senior Engineering Manager for Media Foundation, you will lead a team of engineers to build and operate Airbnb's media infrastructure, the foundation powering every photo, video, and document that users interact with on the platform. Capabilities include uploads, AI/ML transformations, distribution, and presentation within the product. You will shape the team’s vision and help steer the organization towards our larger goals. This includes day-to-day operations, technical deep dives, community engagement with internal engineering teams, and strategic planning. As the technical and organizational leader for Media Foundation, you own the reliability, scalability, and evolution of the systems that power every media interaction on the Airbnb platform from the moment a host uploads a photo to the instant a guest streams a listing video. Your experience in both media technology and people management will be essential to the maintenance, modernization, and innovation of Airbnb's media platform. You set the bar for engineering excellence, define what great looks like for your team, and crea

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: Machine Learning and Artificial Intelligence are at the heart of the Airbnb product. From Trust to Payments, and from Customer Service to Marketing we rely on ML to ensure that guests and hosts have the best possible experience with Airbnb. The CS AI product team is responsible for driving CSxAI (Customer Support x Artificial Intelligence) initiatives by adopting the Generative AI technologies to enable an intelligent, scalable and exceptional service experience. The team develops and enhances various AI models, ML services and tools including LLM fine-tuning, alignment and optimization, RAG/Search, LLM evaluation and testing automation, feedback-based learning and guardrail for a wide range of applications in Airbnb. What you will do: As a principal machine learning engineer, you will be responsible for fine-tuning state-of-the-art LLMs for diverse use cases while optimizing models for high-performance deployment on Airbnb’s ML Infrastructure. You will partner with product managers, software engineers, data scientists and operation teams to brainstorm, design and develop AI products such as AI Assistant, Autonomous agent, recommendation, travel planning, and many more products that make meaningful

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: AI and ML are at the heart of the Airbnb product. From Trust to Payments, and from Customer Service to Marketing, we rely on ML to ensure that guests and hosts have the best possible experience with Airbnb. The Core ML team is responsible for driving CSxAI (Customer Support x Artificial Intelligence) initiatives by adopting Generative AI technologies to enable an intelligent, scalable, and exceptional service experience. The team develops and enhances AI models, ML services, and tools including LLM fine-tuning and optimization, RAG/Search, LLM evaluation and testing automation, feedback-based learning, and guardrails for a wide range of applications at Airbnb. The richness of Airbnb's data, the complexity of its marketplace, and the variety innate in our product mean that we need to operate at the state of the art of AI practice. We are committed to long-term innovation to solve complex problems, and to do that we need experienced ML ​​The Difference You Will Make: In this Senior Staff role, you will set technical direction and lead execution for ML evaluation and the end-to-end data flywheel powering CSxAI products (e.g., assistive agents, issue resolution, and tooling). Your work will define how we measure quality, how we turn feedback into learning signals, and how we continuously improve models and products safely and efficiently. You will partner closely with product, engineering, design, operations to build evaluation systems that are trusted, scalable, and actionable - connecting offline metrics to online outcomes. A Typical Day: Define evaluation strategy and suc

Mortgage Loan Officer Subject Matter Expert Location: United States (Onshore; Remote with periodic travel) Employment Type: Full-Time About SAI Group SAI Group is a private investment firm that has committed $1 billion to incubate and scale revolutionary AI-powered enterprise software application companies. Our portfolio, a testament to our success, comprises rapidly growing AI companies that collectively cater to over 2,000+ major global customers, approaching $600 million in annual revenue, and employing a global workforce of over 4,000 individuals. SAI Group invests in new ventures based on breakthrough AI-based products that have the potential to disrupt existing enterprise software markets. SAI Group’s latest investment, JazzX, is a pioneering technology company which is building a platform that will not only shape the future of enterprise AI applications but also offer practical solutions to real-world challenges. Role Overview As JazzX’s Mortgage Loan Officer SME, you will be the single-domain authority for the front end of the mortgage business — lead intake, borrower consultation, qualification, structuring, pricing, locking, and application handoff — across product, engineering, and operations. You will own how loan officer workflows, incentives, and borrower interactions are defined, explained, and operationalized into the JazzX Mortgage Application, ensuring that AI-assisted sales and origination experiences faithfully reflect how loan officers actually work and win business. This is a hands-on position. You will work representative borrower scenarios end-to-end, document how loan officers qualify, structure, and price loans, map the lead-to-lock-to-submission journey, and sit with product managers and engineers daily to translate that knowledge into detailed product requirements, decision logic, and acceptance criteria. JazzX is bui