Internal Product Engineer Jobs

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role Modal's LLM inference platform delivers frontier performance for open-source models with best-in-class elasticity and developer experience, made in part possible by our custom runtime with GPU memory snapshots and multi-cloud substrate . We're looking for a leader to own the direction and execution of this platform to continue to establish us as the clear market leader, working closely with customers like Cognition, Doordash, Ramp, and many more. You'll be leading a group of highly talented engineers working on our market-leading LLM inference offering, spanning the serving stack, routing infrastructure, internal agentic optimization platform, and the user-facing product surface area. This is a hands-on leadership role — expect to split your time between technical contribution, product shaping and people management depending on what the team needs. You'll set direct

Our mission and customers: We are creating the freedom for SMEs to succeed by delivering Europe's leading finance workspace with banking at its core, augmented by financial tools. We are proud to be rated 4.8 on Trustpilot, based on 55,000+ reviews. Our culture puts customer satisfaction at the core of what we do, as proven by our Net Promoter Score of 75 (more about our culture here). Our journey: Founded in 2017 by Alexandre and Steve, Qonto has grown to 1,600+ Qontoers serving over 600,000+ customers across 8 European countries. We have been profitable since 2023, and we are just getting started. Our beliefs: We hire for skills and potential. With 80+ nationalities, 45% women, of which 56% of women in our leadership team, diversity isn't a program; It's who we are. We've built a discrimination-free hiring process because the best teams are built on merit. AI at Qonto: AI is deeply embedded in how we work (here) - Every Qontoer gets unlimited access to the best AI tools. We want people who experiment without waiting for permission, push AI beyond the obvious, know when to trust it, and when to question it. ------------------------------------------------------------------------------------------------------ Join us as Internal Control Apprentice (Tech & Product) to help ensure Qonto's systems, processes, and data are secure and compliant as we go through our most important milestone: becoming a fully licensed bank. You'll run real controls from day one, interviewing engineers, reviewing processes, tracking remediations, all under the guidance of Charlotte, responsible of Internal Control (Tech & Product). ➡️ What you'll do Own monthly tech controls end-to-end: Each month you'll be assigned controls covering access management, change management, security processes, and cybersecurity topics — and take them from stakeholder interview to final report. Interview control owners across the tech org: You'll meet with Security, Data, Backend, and SRE teams to assess how

About AlphaSense: The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content. The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us! The Role: We're looking for a Senior Engineering Manager to lead the teams building shared product platforms at AlphaSense. The domain covers two connected areas: the API-first platforms that power multiple product surfaces, integrations, and agentic workflows, and the usage platform that meters and reports AI credit consumption across our product features. Both areas are built as products, not as internal plumbing. That means well-designed APIs, clear contracts, strong reliability guarantees, and a roadmap driven by real product needs. Our consumption platform is business-critical: it underpins how AlphaSense packages, prices, and reports on AI capabilities, so accurate, timely, and auditable metering is a hard requirement rather than an implementation detail. This is a people-management role. The immediate team is largely based in EMEA/US, so glo

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 You'll work closely with several teams of engineers and PMs to shape products used by Stripe employees across engineering, operations, finance, and beyond. This is a high-impact role for a designer who finds as much satisfaction in untangling complex workflows and dense information architectures as in crafting polished interfaces. What you'll do You'll take ownership of two spaces within our internal tooling portfolio—Developer Productivity, focused on ensuring every engineer at Stripe has the tools to be productive, and Collaboration, focused on knowledge discovery and communication at scale. You'll pair with an existing designer on the team to bring design quality and consistency to surfaces that are critical to how Stripe operates internally. Responsibilities Own end-to-end design for a portfolio of internal tools—from discovery and problem framing through interaction design, prototyping, and implementation support Partner with engineering and product managers to define product requirements and translate them into clear, usable, and well-considered design solutions Conduct lightweight research and usability sessions with internal users to validate decisions and surface unmet needs Contribute to a consistent design language across our internal tools suite, working in close coordination with the Sail Design team and the Stripe design system Make design trade-offs confidently, knowing when to go deep on craft and when to ship a pragmatic sol

Principal Solutions Engineer - UK Amplitude is where product teams go when they're serious about understanding their users. We're the leading product analytics platform, and our customers range from some of the most recognised brands in the world to fast-moving scale-ups. Our new product agent Wave closes the development lifecycle by connecting data insights into code and moving companies towards self improving products! In this role, you'll be the technical quarterback for our most strategic opportunities in the UK. You'll partner with Account Executives to win complex, multi-stakeholder deals by translating product capabilities into business outcomes that matter to Product, Marketing, and Analytics leaders. You'll lead technical discovery, architect custom proof-of-concept implementations, and serve as a trusted advisor to prospects navigating their digital analytics strategy. Your technical credibility and business acumen will directly influence the annual pipeline. What you’ll do… Deal Execution (70% of time) Lead technical evaluation phases for deals ranging from 100K to 1M+ ARR Conduct deep discovery to map prospect workflows, tech stack dependencies, and decision criteria to Amplitude's differentiation Design and execute hands-on proof-of-concepts that prove value within the prospect's actual data and use cases Handle technical objections related to data architecture, privacy/compliance, and integration complexity Present to C-level executives and translate technical capabilities into ROI narratives Internal Collaboration (20% of time) Partner with Software Engineering and Product Management to communicate feature gaps and customer requirements that affect deal velocity Act as a business partner to the Account Executives, advising and providing technical partnership throughout the sales cycle. Work with Customer Success to ensure smooth handoffs and technical alignment during implementation Mentor junior Solution Engineers on technical positioning and demo be

The Security team is responsible for protecting Asana’s employees, users, and customers. We are a team of security engineers and risk and compliance practitioners who build innovative safeguards to ensure that our data is protected against threats and that we comply with legal, regulatory, and customer requirements. We collaborate closely with teams across the organization to foster a culture of security throughout our product and operations. We’re looking for an Application Security Engineer to join our Security team in Warsaw. You’ll be a foundational member of the security presence in a key engineering hub, partnering directly with IT, infrastructure, and product teams to ensure we design and ship secure software. You will be instrumental in scaling our security practices by conducting security design reviews, threat modeling, and vulnerability assessments across our products and internal applications, eliminating entire classes of vulnerabilities, and championing a security-first mindset. This role is based in our Warsaw 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 your recruiter can share more about the in-office requirements. We offer a Contract of Employment (UoP) for our employees in Poland. What you’ll achieve ● Conduct security architecture reviews and threat modeling for new features and services across our product and internal applications, identifying risks early and influencing secure design decisions. ● Perform vulnerability assessments of software and systems, using a range of assessment methodologies to surface and prioritize security weaknesses across our product surface. ● Triage, investigate, and drive remediation of vulnerabilities from our bug bounty program and automated s

We're seeking a highly technical and hands-on Technical Marketing Engineer to help drive NVIDIA's Robotics and Physical AI initiatives in China. You will work closely with engineering, product, sales, and marketing teams, as well as leading robotics developers, OEMs, and ecosystem partners to evaluate our technologies, improve developer experience, and support adoption of NVIDIA robotics solutions. China is one of the world's most advanced and fast-moving robotics ecosystems. You will work closely with internal and external stakeholders to understand real-world requirements, emerging use cases, developer needs, and help translate these insights into product feedback, technical guidance, and improved solutions. You should be comfortable working in a multifaceted environment and possess excellent written and verbal communication skills. The ability to work independently and the motivation to learn new technologies and skills are essential. What you'll be doing: Own and lead the development of high-impact technical marketing content that clearly articulates the value and differentiation of NVIDIA robotics platforms. Evaluate developer experience, performance, and end-to-end robotics workflows through hands-on testing, benchmarking, debugging, and validation, and provide actionable feedback to engineering and product teams. Work with internal teams and robotics ecosystem partners to understand technical requirements, use cases, and development challenges to help improve NVIDIA robotics solutions. Develop and validate technical demos, reference implementations, benchmarks, and workflows on Physical AI platforms. Collaborate across engineering, research, product, sales, marketing, and solution architecture teams driving strategic alignment and ensuring b

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. Scale Frontier Data is the organization behind the training and evaluation data that frontier labs depend on. We build the systems, tooling, and expert workflows that turn hard human expertise into signals that models can learn from, across reasoning, coding, agentic tool use, and domain expertise. About our Customer Platform team: Our Customer Platform Team plays a pivotal role in integrating our platform with external systems and ensuring seamless, reliable connectivity for both internal users and customers. As the leader of this team, you’ll drive the strategy, architecture, and development of our connectivity solutions, focusing on API integration, distributed systems, and a robust data platform. Your role will be crucial in maintaining and enhancing our platform’s ability to meet the needs of both our internal and external stakeholders. Responsibilities: Own large areas within our product Comfortable working cross functionally, whether that be internal or external customers Build features end-to-end: front-end, back-end, system design, debugging and testing Deliver experiments at a high velocity and level of quality to engage our customers Work across the entire product lifecycle from conceptualization through production Influence the culture, values, and processes of a growing engineering team Inspire and mentor less experienced engineers Collaborating with cross-functional teams to define, design, and ship new product features and experiences. Requirements: At least 7-10 years of relevant experience is preferred Track record of shipping high-quality products and features at scale Desire to work in a very fast-paced environment Abil

Datadog is seeking a Director of Product Management for Platforms to lead the internal platforms that power our global engineering organization. This is both a customer and internal platform leadership role, focused on enabling Datadog customers to maximize value with Datadog but also to enable other Datadog products to build, scale, and operate products efficiently and reliably. In this role, you will bring a combination of technical expertise, product management experience, and a deep understanding of platform and shared capabilities to help Datadog grow its leadership position. You will lead a team of product managers and collaborate with senior leadership in product, engineering and design. Your scope includes driving product features shared across all Datadog but also large-scale Datadog’s platform solutions. What You’ll Do Own the vision and strategy for platform products, ensuring alignment with overall company goals and customer needs. Identify new opportunities for innovation and drive them from concept to execution, ensuring they have a measurable impact on customers and the business. Define product roadmaps and manage the prioritization of features and initiatives to ensure the team's efforts are aligned with business goals. Drive Platform Adoption: Partner with engineering and product teams to ensure widespread adoption of shared platforms and shared features, reducing duplication and accelerating delivery. Improve Operational Efficiency: Improve developer velocity, time-to-production, and operational efficiency across Datadog’s engineering ecosystem. Collaborate with cross-functional teams including engineering, design, data science, marketing, and sales to deliver infrastructure product solutions that meet customer needs and business objectives. Define and Track Success Metrics: Define and track platform success metrics, including adoption of platform capabilities, reduction in internal toil, time-to-production improvements, cost efficienc

The Best Players Need the Best People. This role implements practical, AI-enabled workflows that increase productivity, reduce manual effort, improve speed, and deliver measurable business value across PGA Tour departments. Working closely with internal stakeholders including product teams, engineering, data science and AI COE, cybersecurity, privacy, technology operations, and approved vendors. The Forward Deployed Engineer documents existing workflows, defines requirements, configures approved tools with the AI Governance Committee, and supports rollout of repeatable solutions that are secure, accurate, reliable, and easy for employees to use. This is an implementation-focused role centered on assigned use cases and department-level workflow improvements. The engineer evaluates whether a business need can be met through existing enterprise platforms, configuration, integration, workflow redesign, or vendor capability, and will escalate larger product, roadmap, architecture, or custom-development decisions to AI leadership. Qualifications Bachelor’s degree in Computer Science, Information Technology, Data Science, Engineering, or equivalent practical experience. Minimum 5 years of experience in software engineering, systems integration, solutions engi

Code Intelligence sits at the intersection of agentic engineering and product, running agents against real customer source code in production. This is a chance to own an AI-native team at the center of a business-critical growth area. High visibility, high leverage, and squarely in the fastest-growing part of the AI agent space. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You'll Do: Lead and develop an existing engineering team, building trust, setting technical direction, and establishing a high bar for ownership and execution. Own the roadmap and execution across four areas: source code indexing, PR Agentic Reviewers (agents that generate artifacts like metric descriptions on customer pull requests), shift-left work (extending code-writing agents to make direct changes to customer repos), and closed-loop feedback and evaluation systems including LLM-as-judge. Set the team's product strategy independently while partnering day-to-day with product teams company-wide — this team functions as its own product org. Build and operate scaled LLM and agent software in production: LLM APIs, agent frameworks, harness and tool-use layers, prompt and eval tooling, and closed-loop evaluation systems that measure and improve agent output quality. Partner closely with customers and internal stakeholders to deeply understand needs and translate them into technical direction. Drive the team's AI-native development practices, setting high standards for safety, validation, and increasing agent autonomy over time. Who You Are: Experienced engineering manager with a track record of shipping products with direct customer interaction, not just internal stakeholders. Hands-on experience building scaled LLM software: LLM APIs, agent frameworks, prompt and eval tooling, h

Manager I, Engineering - Change Experience Platform The Change Experience Platform team builds the internal experiences and platform capabilities that help Datadogs understand, author, route, and safely manage infrastructure changes. The team owns internal UI and CLI frameworks, change-management user experiences, notification and subscription platforms, and infrastructure governance signals used across Datadog’s engineering organization. Its work sits at the intersection of developer experience, infrastructure operations, product design, and change safety. We’re looking for a hands-on technical leader to manage and grow a team of engineers working on the systems that shape how Datadog engineers interact with infrastructure change. You will partner closely with infrastructure, developer experience, platform engineering, and product teams to build reusable interfaces, workflows, and safety mechanisms that make complex change processes easier to understand and safer to execute. This is a high-impact role for someone who enjoys combining product thinking with strong engineering judgment. You will help the team balance framework ownership, platform reliability, internal customer needs, and long-term technical direction across a portfolio that includes UI systems, CLI authoring and publishing, change-management workflows, notification routing, subscriptions, and infrastructure cordon management. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Lead and grow a small team of engineers responsible for internal platforms and product experiences used across Datadog engineering. Help define what “good” looks like for internal developer-facing platforms, including usability, reliability, documentation, adoption, and supportability. Se

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Staff Software Engineer The Product Auth0 is a developer-friendly identity platform that simplifies authentication and authorization for applications. Designed by developers for developers, we make access to applications safe, secure, and seamless for the more than 100 million daily logins around the world. Our modern approach to identity enables this Tier-Ø global service to deliver convenience, privacy, and security so customers can focus on innovation. Know more about our product at https://auth0.com/ . The Role We are hiring for a new team within Core Identity, the Engineering organization entrusted with the very heart of the Auth0 application. Our teams own the authentication pipeline, identity protocols, user sessions, and all the fundamental concepts and foundational elements that underpin our entire product. We are also the stewards of the platform's technical health, performance, and efficiency. As a Staff Engineer for this new team, named Core Frontier , you will lead at the vital intersection of deep product innovation and the global customer experience. Your mission is to ensure that the sophisticated features developed across the Core Identity organization (such as Native to Web, Cross-App Access and Custom Token Exchange) are hardened, scaled, and seamlessly integrated into the Auth0 ecosystem. You will act as the architectural bridge, ensuring that complex internal logic translates into a polished, secure, and high-performance experience that

Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join our team! The AI Infrastructure Product Design team creates software used by engineers and researchers to prepare data, run complex workflows, and understand results. This internship offers ownership of a defined product problem from early research through a tested design and implementation handoff. Designers on this team often move between Figma and working HTML prototypes, and may hand off HTML directly to engineering. This work calls for a high standard of visual and interaction design alongside technical fluency. The role is a good fit for someone who enjoys making technically complex systems easier to understand and who uses large language models and software agents thoughtfully as part of their design and prototyping process. What you will be doing: Own a focused design project for an internal AI infrastructure product, from understanding the problem through a validated design and implementation handoff. Interview engineers and researchers, map their workflows, and turn the findings into clear product requirements, user flows, and interaction models. Create precise, implementation-ready interface designs and interactive prototypes in Figma and HTML/CSS, with careful attention to typography, hierarchy, spacing, visual consistency, interactio

About Mixpanel Mixpanel is the leading product intelligence and analytics platform, trusted by more than 29,000 companies to help understand how people use the products they build. By combining powerful analytics with AI that knows your business, Mixpanel helps teams see what’s working, diagnose what’s not, and decide what to build next. Learn more at mixpanel.com . About the Team AI has made it possible to build almost anything. The constraint on great software is no longer engineering capacity, it's judgment about what's actually worth building. Product Managers at Mixpanel build products for customers that help them answer that question, by digging deep into customer problems to answer it themselves. Mixpanel’s Product Managers operate with high ownership and trust. As a team, we focus on helping every builder - not just the ones with a statistics background - get real answers out of messy product data, and make the judgment calls that separate delightful products from bloated ones. We're also our own best customer. The team uses Mixpanel every day to build Mixpanel: testing our own product intuitions against our own data, catching what works and what doesn't before our users ever see it. About the Role Product Managers build valuable products for customers by focusing our engineering and design teams on the problems that matter most. Check out a video demo of our product in action or signup and explore one of our demo datasets. Responsibilities Use insight from customer conversations and Mixpanel's own product data to shape strategy and direction for your product area Align engineering and design teams on the right problems with clear, written communication Work closely with engineering and design to experiment with and ship new capabilities Tell a clear story about what you've shipped - to internal and external audiences - that leads with the customer problem, articulates why it matters, and uses customer stories to make the value tangible Prioritize rut