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Location: Bangalore; EU Remote Workplace: Remote About the role Cyberhaven is redefining data security by tracing how sensitive data actually moves across endpoints, cloud, SaaS, and now AI tools and agents. Our AI Security team builds the backend systems that give enterprises real-time visibility and control over how their data flows into and out of LLMs, GenAI applications, and autonomous agents. We're looking for a Staff/Principal Backend Software Engineer to be one of the most senior technical voices on this team: an early contributor with substantial influence over the architecture of a new and rapidly evolving product line, solving multiple exciting technical challenges along the way. What you'll do - Architect, extend, and optimize a large-scale, highly scalable, fault-tolerant system that handles large graph datasets at enterprise scale processing billions of AI-related events from hundreds of thousands of endpoints in real time, with sub-second latency requirements. - Set technical direction for how Cyberhaven secures data flowing into and out of AI models, GenAI applications, and agents, shaping architecture decisions that will define this product line for years to come. - Architect and implement security features that protect customer data end-to-end. - Solve real-world scaling problems that require thorough performance analysis and troubleshooting. - Work with a modern, constantly evolving microservices based stack including Go, Kubernetes, BigTable, BigQuery, Spanner, Redis, Docker, and Etcd. - Design and build connectors that integrate at the API level with SaaS and AI platforms commonly used in the enterprise (e.g. ChatGPT, Copilot, and other GenAI tools). - Write secure-by-design, hardened software that withstands real-world attacks while processing untrusted data and communicating with hundreds of thousands of endpoints over the internet. - Raise the technical bar across the team through architecture reviews, mentorship of senior/staff engineers, and setting patterns others follow. Who you are - You have a strong track record building backends that are actively used at scale, and you've contributed significantly to and extended their architecture, not just shipped features. - You have deep, hands-on experience developing large applications in Go. - You've operated databases at very large scale. Knowledge of GCP services (BigTable, BigQuery, Spanner) is a plus. - You have experience profiling and optimizing distributed code that uses large databases and streaming platforms. - Experience building connectors that integrate at the API level with SaaS applications commonly used in the enterprise is a plus, especially with AI/LLM platforms. - You have hands-on production experience with microservices and Kubernetes. - You have excellent verbal and written communication skills in English, and can be available to frequently communicate with distributed teams in Europe and the US. - You thrive in fast-paced environments tackling ambiguous challenges, and you enjoy shipping with velocity. - You have a customer-centric mindset and enjoy direct feedback from customers. - You are based in India or the EU. Joining Cyberhaven means joining the team building Data Security for the Agentic Enterprise. Traditional tools fall short. Cyberhaven traces the full lifecycle of your data, adapting protection to changing context, so protection moves with the way people actually work, not against it. AI Changed Work. We Protect It. Backed by $250M from leading investors like Khosla and Redpoint, our team includes leaders who built industry-defining technologies at CrowdStrike, Palo Alto Networks, Meta, Google, and more. This role lets you shape the future of data security, working alongside people driven to protect workflows, not just data, for customers who cannot afford to slow down to stay safe. AI Tools Disclosure: As part of Cyberhaven's hiring process, we use recruiting tools that include AI-powered features to help with tasks like scheduling, note-taking, workflow automation, and other recruiting activities ("AI Tools"). The AI Tools may process information you provide during the application and interview process. When AI-assisted interview note taking is used, candidates are notified in advance and have the option to opt out of the AI-assisted interview note taking. Cyberhaven is committed to creating a diverse environment and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Location: Oakland, California, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran is building data pipelines to power the modern data stack for thousands of companies. Fivetran is seeking an exceptional Principal Software Engineer to lead our AI adoption initiative across the Engineering organization. This unique leadership role combines deep technical expertise with strategic business acumen and change management capabilities. You will be the driving force behind transforming our 500+ engineers into “Bionic Engineers" while implementing Virtual Engineer capabilities to achieve 10% productivity gains in FY26 and 20% in FY27. As the single point of contact for AI initiatives in Engineering, you will orchestrate an engineering-wide transformation that makes AI-driven productivity a core engineering competency. This role requires someone who can navigate the rapidly evolving AI landscape, drive adoption across diverse teams, and deliver measurable business impact. This is a full-time position based out of our Oakland office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Technologies You’ll Use Java, Postgres, Oracle, SQL Server, MySQL, Kubernetes, Docker, AWS, GCP, CircleCI Google Gemini, Anthropic Claude, Claude Code, ChatGPT, OpenAI Codex, GitHub Copilot What You’ll Do Adoption Management & Leadership (40%) Drive Cultural Transformation: Lead the evolution from AI-curious to AI-native engineering practices across all teams Champion Change Management: Convert skeptics into advocates through data-driven demonstrations of value and hands-on enablement Measure & Accelerate Adoption: Establish KPIs, track progress from the current 50% to 100% adoption, and implement interventions to accelerate uptake Build Communities of Practice: Create forums for knowledge sharing, celebrate wins, and foster peer-to-peer learning Technical Leadership (35%) Tool Evaluation & Selection: Continuously assess emerging AI tools (Copilot, Claude Code, Codex, etc.) and make data-driven recommendations Architecture & Integration: Design technical frameworks for integrating AI tools into existing development workflows and CI/CD pipelines Virtual Engineer Implementation: Lead proof-of-concepts for coding agents in standardized tasks (Lite Connectors via CoIL, code refactoring, test generation) Security & Compliance: Partner with Security and Legal teams to ensure AI tool usage protects IP and meets compliance requirements Technical Standards: Establish best practices, guidelines, and guardrails for AI-assisted development Performance Optimization: Analyze and optimize the technical performance and cost-efficiency of AI tool deployments Innovation Pipeline: Maintain awareness of cutting-edge AI developments and identify opportunities for competitive advantage Business Leadership (25%) Strategic Planning: Develop and execute the three-phase AI adoption roadmap (Explore & Learn → Enable, Train & Adopt → Core Competency) Budget Management: Oversee $1M+ annual tool budget, optimize spend across 500+ team members, and demonstrate ROI Stakeholder Management: Build relationships with the CEO, Engineering Leadership, Finance, L&D, Legal, and Security teams Business Case Development: Quantify productivity gains, cost savings, and strategic value of AI initiatives Vendor Relations: Negotiate enterprise contracts, manage vendor relationships, and influence product roadmaps Cross-functional Collaboration: Work with Program Managers, Engineering Managers, and other non-IC roles to extend AI benefits Competitive Intelligence: Monitor industry trends and ensure Fivetran maintains a leadership position in AI-augmented engineering Enable Success at Scale: Design and implement adoption playbooks that work across diverse teams with varying technical backgrounds Remove Barriers: Identify and systematically eliminate technical, cultural, and process obstacles to AI adoption Communicate Impact: Regularly present adoption metrics, success stories, and ROI to engineering leadership and executives Skills We’re Looking For Technical Expertise 10+ years of software engineering experience with proven expertise across multiple programming languages and paradigms Deep hands-on experience with AI-powered development tools (GitHub Copilot, ChatGPT, Claude, etc.) Strong understanding of LLMs, prompt engineering, and AI model capabilities/limitations Experience with CI/CD, DevOps practices, and modern software development workflows Track record of evaluating and implementing new technologies at scale ​ Leadership Experience Proven ability to drive technical initiatives across large engineering organizations (500+ people) Experience leading without authority and influencing senior technical leaders Track record of successful change management in engineering contexts Demonstrated ability to convert technical innovations into business value Experience presenting to C-level executives and board members Adoption & Enablement Skills Experience driving tool adoption across diverse technical teams Strong communication skills with the ability to create compelling narratives for different audiences Track record of building training programs and enablement materials Data-driven approach to measuring and improving adoption metrics Patience and empathy when working with skeptics and late adopters Bonus Skills​ Experience with Fivetran's tech stack (Java, Python, C, SQL, Bazel, React) Background in developer productivity, platform engineering, or DevEx roles Experience with virtual agents/coding assistants in production environments Knowledge of AI/ML fundamentals and enterprise AI governance Previous experience in high-growth SaaS companies #LI-HYBRID #LI-EM1 The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $225,813 — $282,266 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Hybrid - San Francisco, New York City, Austin About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role As an Account Executive on the Commercial Install Base team, you will own and grow a portfolio of existing Vercel customers. You will lead the full commercial relationship across your accounts, including account strategy, pipeline generation, expansion, renewal, and retention. You will partner with developers, engineering leaders, product teams, executives, and procurement stakeholders to understand what customers are building and connect Vercel to meaningful technical and business outcomes. This is a strategic hunting role within our existing customer base. You will use product adoption, usage signals, company priorities, and thoughtful account research to develop hypotheses, create new conversations, and uncover expansion opportunities. You will also quarterback the broader Vercel team, bringing together Solutions Engineering, Developer Success, Product, and other partners to remove barriers and drive customer outcomes. Success requires commercial judgment, technical curiosity, disciplined execution, and the ability to create momentum when the path forward is not obvious. What you'll do Own the commercial strategy, retention, and growth of a portfolio of existing Vercel customers. Build account plans that identify customer priorities, key stakeholders, current workloads, risks, whitespace, and expansion opportunities. Generate pipeline through proactive prospecting, multi-threading, product usage signals, and thoughtful account research. Build trusted relationships with developers, engineering leaders, executives, procurement partners, and other key stakeholders. Run end-to-end renewal and expansion cycles, including discovery, qualification, technical evaluation, negotiation, and close. Identify customer risk early and develop clear plans to protect recurring revenue. Connect Vercel’s platform to measurable outcomes such as faster product delivery, improved performance, stronger reliability, increased conversion, and greater developer productivity. Partner with Solutions Architects to understand customer architecture, uncover new workloads, and guide technical evaluations. Mobilize Developer Success, Product, Marketing, and executive resources at the right moments to advance customer outcomes. Maintain accurate forecasts, opportunity plans, renewal timelines, and customer context in Vercel’s systems. Use AI, automation, and repeatable workflows to improve account research, prioritization, and execution. Share successful plays, customer insights, and market feedback to help the team improve. What you need We are looking for a commercially driven Account Executive who combines strong sales fundamentals with technical curiosity and a commitment to customer outcomes. In practice, this looks like someone who: Has a history of achieving revenue targets through pipeline generation, opportunity management, negotiation, and closing. Has experience owning and growing existing customer relationships, including renewals and expansion. Proactively creates pipeline rather than relying primarily on inbound demand. Can develop a point of view on an account and turn thoughtful hypotheses into customer conversations. Builds credibility with technical, executive, and commercial stakeholders. Learns complex products quickly and is curious about how modern web and AI applications are built and scaled. Can translate technical capabilities into clear business value. Is comfortable navigating ambiguity, complex organizations, and multi-stakeholder sales cycles. Demonstrates strong account planning, forecasting, and opportunity management discipline. Uses data, customer signals, and judgment to prioritize time effectively. Is coachable, collaborative, proactive, and team-first. Is resilient and energized by complex commercial problems. Bonus if you Have experience growing existing customers in SaaS, cloud, infrastructure, developer tools, or a product-led growth company. Have sold to developers, engineering leaders, product teams, or other technical buyers. Have led expansions across multiple workloads, teams, or business units. Have worked with customers navigating cloud modernization, AI adoption, or application development. Have experience in a high-growth environment where go-to-market motions were still evolving. Use tools such as Salesforce, Gong, Outreach, LinkedIn Sales Navigator, or ZoomInfo. Use AI, automation, or self-built workflows to improve your effectiveness. Aspire to coach others, own increasingly complex accounts, or grow into leadership. Benefits & Compensation: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA OTE range for this role is $221,000.00 - $300,000.00. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. #LI-KQ1 #LI-DNI Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: Ukraine; Serbia; Romania; Kazakhstan; United States; United Kingdom; Poland Workplace: Remote About the company Turning marketing into a market-domination weapon, iSpeedToLead created a new category — the marketplace for future customers. Businesses shop for leads as they shop for products in e-commerce: they can see key details before buying, with more transparency, control, and predictable outcomes. iSpeedToLead helps real estate wholesalers, investors, flippers, and increasingly agents buy motivated home-seller leads through a live lead marketplace built for speed, visibility, and performance. Role overview We’re looking for a video editor who understands dynamic editing, can build engaging videos with strong retention, and selects footage based on meaning — not just aesthetics. This person should be able to independently source materials such as stock footage, references, B-roll, memes, and AI-generated visuals, and turn them into compelling short-form content. Must-have skills - Strong understanding of dynamic editing: pacing, hooks, rhythm, and attention retention. - Ability to edit based on story and meaning, not just music or visuals. - Can independently find and select footage such as B-roll, stock, and references. - Experience with short-form content including Reels, Shorts, TikTok, and ads. - Ability to add captions/subtitles, basic motion graphics, zooms, transitions, and highlights. - Understands how to capture attention in the first 3–5 seconds. - Fast turnaround and ability to iterate based on feedback. - Nice to have: experience with AI tools for generating or sourcing visuals. This is not for you if - You focus only on nice-looking edits without understanding the message. - You rely fully on provided materials and cannot source content independently. - You do not understand the difference between basic and dynamic editing. - You cannot explain why specific visuals were chosen. - You produce slow-paced edits with weak engagement. - You struggle with feedback or revisions.

Location: Hong Kong Office; Shanghai Office; Shenzhen Workplace: onsite About Unlimit Unlimit is the global financial infrastructure for the borderless agentic economy. Designed to bridge the gap between fragmented local markets and the future of autonomous commerce, Unlimit provides the programmable operating layer for the world’s most ambitious businesses. Through an integrated technology stack, the platform unifies global payment acceptance, programmable financial accounts, and digital asset rails into a singular financial layer. By mapping hyper-local payment ecosystems directly into its architecture, Unlimit enables businesses to move value and settle transactions instantly across continents. Built on decades of hard-won regulatory depth and an extensive global license portfolio, the platform provides direct access to a massive global infrastructure. With major hubs in London, San Francisco, Singapore, São Paulo, and Mexico City, Unlimit is building the infrastructure that makes global expansion a matter of code, not geography. About the Job As an Business Growth / Senior Account Manager, you will be responsible for acquiring, managing, and growing a portfolio of enterprise merchants for Unlimit’s acquiring business across APAC. This is a hunting and farming role, combining new business acquisition with long-term account growth. You will identify and engage enterprise merchants, manage complex sales cycles, drive successful onboarding and launch, and continuously develop strategic relationships to maximize business growth. You will take end-to-end ownership of merchant relationships, working closely with merchants and internal teams to optimize performance, identify growth opportunities, expand the adoption of Unlimit solutions, and deliver a best-in-class client experience. You will report to Unlimit’s Head of APAC Account Management. What You’ll Do Acquire new enterprise merchants by identifying opportunities, building relationships, managing sales cycles, and closing deals. Manage and grow strategic merchant accounts throughout the full client lifecycle, from onboarding and integration to ongoing optimization and expansion. Develop strong relationships with key merchants and become a trusted business partner, understanding their challenges and providing tailored payment solutions. Drive upsell and cross-sell opportunities by identifying business growth areas and increasing adoption of Unlimit’s payment solutions. Analyze merchant performance data, monitor key business metrics, and provide insights and recommendations to improve transaction performance and revenue growth. Collaborate closely with product, operations, risk, compliance, and technical teams to ensure successful merchant experience and continuous improvement. Manage multiple priorities and stakeholders while delivering results in a fast-paced and evolving environment. Represent Unlimit as a strategic partner, bringing ownership, professionalism, and commercial mindset to every client interaction. Who You Are Payments experience: minimum 5 years of experience in the payments industry, with strong knowledge of acquiring, merchant services, payment solutions, or payment partnerships. Enterprise sales experience: proven experience managing complex sales cycles with enterprise merchants, including prospecting, negotiation, and closing. Account growth mindset: demonstrated ability to not only acquire clients but also grow existing accounts through strategic relationship management and solution expansion. Commercially driven: comfortable owning revenue growth opportunities, including new business acquisition, upsell, and cross-sell initiatives. Analytical mindset: able to understand transaction data, identify growth opportunities, and translate insights into actionable business strategies. Client-focused: strong relationship management skills with the ability to build trust and influence senior stakeholders. Self-starter: proactive, resilient, and able to work independently in a fast-paced environment. Collaborative and positive: works effectively across teams and contributes to a high-performance culture. Join Unlimit Team now!   Unlimit is an equal opportunity employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion or belief.

Мы — амбициозная команда специалистов, которая ставит перед собой амбициозную задачу по разработке и внедрению ИИ-агента для управления технологическими рисками Банка. Наше решение помогает быстро выявлять, оценивать и минимизировать последствия технологических рисков. В нашей команде ты сможешь быть вкладом в создание и развитие продукта с 0 и работать с передовыми технологиями, свободные коммуникации и быстрые решения без долгих согласований. Задачи: — проектировать и разрабатывать backend-сервисы на Python для LLM-агентов и ML-пайплайнов (низкие задержки, высокая надёжность, observability) — выстраивать и развивать архитектуру агентских систем (оркестрация инструментов, память, планирование, безопасные guardrails, оценка качества) — внедрять ML System Design подходы: искать и применять передовые идеи и мировой опыт в области архитектур агентских систем — работать с данными и интеграциями: очереди/стриминг, базы, кэш, внешние API — проводить технические исследования (R&D), быстро прототипировать, измерять, масштабировать в прод — развивать платформу: тестирование, CI/CD, мониторинг, трассировка, расходы — влиять на инженерную культуру: код-ревью, дизайн-сессии, менторство. Требования: — от 4 лет промышленной backend-разработки на Python с акцентом на надёжность и производительность — опыт проектирования распределённых систем и высоконагруженных сервисов — уверенная математическая база (вероятность/статистика/оптимизация), инженерный вкус и привычка мерить всё метриками — практика работы с ML-системами в проде: фичи, офлайн/онлайн-оценка, A/B, наблюдаемость качества — навык разбираться в новых подходах (LLM-агенты, инструменты, память, RAG, оценка), критически их проверять и доводить до результата — готовность брать ответственность за продуктовые эффекты, а не только за код. Будет плюсом: — опыт построения agentic-архитектур (планировщики, многoшаговые цепочки, инструментализация, безопасность) — опыт реализации высокоэффективного инференса LLM моделей, глубокое понимание работы kernel для инференса — вклад в open-source или публикации/доклады — знание домена рисков.

Location: San Francisco, CA Workplace: OnSite ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT THE ROLE: We're looking for a Product Designer to help shape the experience for the developers and teams who build on LangChain. You'll work across our core product surfaces, and depending on where the need is greatest, that could include how developers get from first signup to real production usage, as well as deeper platform workflows like debugging, evaluation, and observability. The common thread is developers doing technical, often high-stakes work, and needing an interface that gets out of their way. You'll partner with engineering, product, and other designers to figure out where the friction is and design your way out of it. *This position will be onsite in San Francisco, CA WHAT YOU'LL DO: - Build a deep understanding of how developers actually use LangChain's products through interviews and feedback sessions so your design decisions are grounded in real behavior and address user needs - Own the full design arc on your features — from early concepts to polished, shipped work - Work across a range of product areas and design initiatives as priorities shift - Collaborate closely with product, engineering and other key stakeholders to ship new features quickly WHAT YOU'LL BRING: - 3+ years of fullstack product design experience ideally working on developer tools, AI, or complex SaaS products - Sharp eye for detail, with a strong foundation across user-centered design, interaction design, and visual craft - A track record of solving hard interaction design problems, particularly around dense technical data - Data-driven decision making - you are comfortable driving user research, both with internal stakeholders and external customers, and using what you learn to inform your designs - You take initiative and ownership of tasks end-to-end - Strong technical acumen - you collaborate effectively with engineers to design things that are both well-crafted and feasible - Start-up DNA - you thrive in fast-paced, highly dynamic environments Annual salary range: $145,000-$185,000 COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Ukraine; Poland; Spain; Portugal; Germany; Romania At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed. And now we are looking for a Staff Architect (Senior Solution Architect) to join us as part of our team. About the project: PitchBook — a platform for investment professionals. Our software provides access to data and the analytical tools to get answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data of more than three million companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others. Features of PitchBook: Advanced search / Discovery & insights /Company profiles / Workflow & efficiency / Many more. Our Tech Stack & Focus Areas Java, Spring, React, Typescript, Apache Beam, Flink, LangGraph, GCP/AWS, K8s Work Environment Flexible schedule with participation in team ceremonies and cross-functional collaboration. Time zone: Europe/Kyiv. As a qualified expert, You will: Translate high-level business initiatives into concrete architectural vision and technical standards, collaborating closely with Product and Engineering to design cost-efficient, scalable solutions that maximize customer value Devise technology and architecture solutions that propel engineering excellence across the organization, simplify otherwise complex problems, and address the “-ilities” (portability, usability, maintainability, scalability, recoverability, availability, extensibility, and security) Author AI-ready solution specifications as a part of the design lifecycle, actively participating in AI-enabled workflows and continuously integrating modern tools into the architectural process Drive system evolution toward well-defined target and transition (interim) states, utilizing robust system diagrams to convey clear, actionable execution paths for engineering teams Describe technical context in intuitive ways for different audiences, adapting communication from highly technical deep dives with engineers to non-technical dialogue with senior stakeholders Drive system innovation by leveraging AI as a core enabler, prototyping high-impact capabilities to prove technical feasibility and steer future-ready architectural directions Learn constantly, including in available cloud managed services (PaaS/SaaS/IaaS), libraries, frameworks and platforms (commercial and open source) Propose pragmatic, organized, and balanced technical decisions in areas such as build vs. buy, now vs. later, and refactor vs. rebuild Provide and oversees high-level estimates for scoping non-trivial feature Coach engineering teams, grow their level constantly and enable them making high-quality autonomous decision in the software design We’re looking for you if you have 7+ years of hands-on software development experience with strong core engineering principles 3+ years of experience in designing complex software architectures for the multi-stack environment (e.g., Java, C#, Python microservices, data analytical systems, AWS/GCP/Azure) Exceptional written and verbal communication skills, acting as a trusted partner to both Product Management and Engineering - capable of articulating technical vision clearly to any audience while actively listening and synthesizing feedback to refine solutions A strong, disciplined approach to architectural decision-making, systematically evaluating technical trade-offs, risks, and technology pros/cons to deliver resilient, cost-effective platform solutions Proven capability to manage stakeholder expectations, build cross-organizational alignment, and articulate technical trade-offs to business and engineering leadership Practical experience designing data solutions across relational databases, distributed caching, replication, and enterprise search engines (e.g., PostgreSQL, MS SQL, Redis, Elasticsearch) Experience architecting on major cloud platforms (e.g., AWS, GCP, or Azure) using containerization and orchestration technologies like Docker and Kubernetes Prior experience in pre-sales, technical discovery, or solution consulting is considered a strong plus Hands-on experience driving AI enablement initiatives and architecting agentic AI systems (e.g., multi-agent frameworks, LLM orchestration) is considered a strong plus English — Upper Intermediate or higher; Ukrainian — fluent. What’s in it for You Reveal great tech solutions Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling clients growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients. Experience an agile and flexible working environment Work fully remote around the globe, or in a hybrid work model from our office hubs which are equipped with everything needed for comfortable work. Enjoy a flexible working schedule and create work and rest balance for yourself. Empower yourself with a stable workload and a stable income, focusing on lasting cooperation and high-performance culture. Embrace the opportunity for personal and professional growth Take advantage of performance review and career path. Elevate your skills with mentorship program, personal development plan, and individual learnings through the corporate library, public speaking support, and more. Feel cared about Be among like-minded people and feel supported with collaboration, open communication and mutual respect. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Interview Steps: Interview with the recruiter Technical Interview Manager Interview HR BP Interview Final сlient Interview.

Location: Yerevan, Armenia Position Summary We are looking for an experienced Senior Automation QA Engineer to join our Quality Engineering team. In this role, you will be responsible for ensuring the quality, reliability, and performance of our products by designing, developing, and maintaining scalable automation solutions. You will work closely with Software Engineers, Product Managers, and QA Engineers while contributing to automation strategy, quality improvements, and engineering best practices. Responsibilities Develop, maintain, and improve backend automated tests using C#/.NET Develop and maintain frontend automated tests using Playwright (JavaScript/TypeScript) Design and execute automated API, UI, integration, and regression test suites Validate REST APIs, WebSocket services, and database data Design, execute, and maintain performance and load tests using JMeter Create, maintain, and manage test data for automation and testing activities Collaborate closely with Manual QA Engineers and Software Engineers throughout the SDLC Participate in test planning, estimation, test strategy, and test case design Maintain and manage test cases using TestRail Track defects and collaborate with development teams using Jira Utilize AI tools to improve QA processes, productivity, and test automation workflows Create and maintain AI helper agents to support testing activities Continuously improve automation frameworks, testing processes, and quality standards Requirements 3+ years of experience in Automation Quality Assurance Strong understanding of QA processes, SDLC, and STLC Experience working in Agile/Scrum environments Strong analytical, problem-solving, and debugging skills Ability to work independently and collaboratively within cross-functional teams Proficiency in technical English Mentorship experience is considered a plus Technical Skills Strong experience with C#/.NET for backend automation Hands-on experience with Playwright using JavaScript or TypeScript Strong understanding of Object-Oriented Programming (OOP) principles Experience with automation frameworks such as NUnit or MsTest Hands-on experience with REST API and WebSocket automation Strong SQL knowledge, including complex queries, joins, and data validation Experience with JMeter for performance and load testing Experience with API testing tools such as Postman Experience with debugging/proxy tools such as Charles Proxy or Fiddler Good understanding of Git version control Experience with TestRail or similar test management systems Experience with Jira or similar project management tools Experience using AI tools (e.g., ChatGPT, GitHub Copilot, Claude, Gemini) in QA processes Experience creating and utilizing AI helper agents for QA activities

Location: Palo Alto, California, United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role As a Senior Machine Learning Engineer on the Applied AI team at Nebius Token Factory, you will own model and endpoint optimization from model artifacts through production deployment. Your work will span model internals, quantization and model compression, speculative decoding, KV-cache optimization, inference engines, serving architecture, and benchmarking to improve latency, throughput, memory efficiency, GPU utilization, and cost per token while preserving model quality and reliability. You will work with kernel and platform engineers to investigate serving problems, compare configurations, and resolve performance and quality regressions. You will evaluate model-and engine-level optimizations together with distributed inference designs, including request routing, scheduling, prefill/decode coordination, and multi-node GPU execution. Your improvements will be validated through reproducible benchmarks and safe production rollouts under real-world workloads. Your responsibilities : Own optimization projects for specific model families, customer endpoints, or serving backends. Compare inference engines and recommend practical serving configurations suited to individual workloads. Diagnose model-quality and performance regressions during production rollouts. Improve LLM and VLM endpoint latency, throughput, memory efficiency, GPU utilization, quality, and cost per token. Deploy, configure, benchmark, and extend inference engines such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, and NVIDIA Dynamo. Develop production model-compression workflows covering quantization, quantization-aware training, distillation, low-bit serving, and accuracy recovery. Implement or integrate speculative decoding, draft-model approaches, KV -cache optimization, prefix caching, chunked prefill, continuous batching, and disaggregated prefill/decode serving. For prefill/decode disaggregation (PDD), evaluate KV-cache transfer, worker placement, and capacity balancing to determine which workloads benefit from the architecture. Design and improve LLM request routers and scheduling policies that balance worker utilization queuing, request characteristics, and KV-cache locality while meeting latency and reliability targets Scale dense and mixture-of-experts inference across multiple GPU nodes. Select and tune tensor, pipeline, data, and expert parallelism - including wide expert parallelism (WideEP) - with attention to hardware topology, expert load balance, and communication overhead. Build reproducible benchmark harnesses measuring for TTFT , TPOT , tokens per second per GPU, p95/p99 latency, GPU memory, reliability, and cost per token. Validate architecture choices under representative traffic and consistent GPU budgets. Collaborate with GPU kernel engineers and platform engineers to trace bottlenecks across model code, kernels, runtime, scheduler, gateway, and cluster layers. Produce design documents, performance reports, rollout plans, and customer-facing technical explanations. Must-haves : Strong engineering skills in Python and PyTorch. Hands-on experience deploying or optimizing LLM, VLM , or high-throughput transformer inference. Practical knowledge of at least one modern inference stack, such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, NVIDIA Dynamo, Ray Serve, KServe, or an equivalent internal system. A strong understanding of transformer inference bottlenecks involving KV cache, attention, memory bandwidth, batching, parallelism, and long-context serving. Ability to quantify trade-offs among latency, throughput, quality, utilization, and cost. Experience designing or optimizing distributed inference system architecture, with hands-on work in one or more areas such as request routing, distributed scheduling, PDD, multi-node inference, or expert parallelism. Strong communication skills and collaboration skills across research, kernel, infrastructure, product, and customer teams. Nice - to - have s : Experience with quantization-aware training, post-training quantization, FP8 , INT8 , INT4 , NVFP4 , MXFP4 , AWQ , GPTQ , SmoothQuant. Experience with distillation, speculative decoding, EAGLE, Medusa, multi-token prediction, or related inference acceleration methods. Experience supporting agentic workloads involving including tool calling, structured outputs, streaming APIs, high concurrency, and multi-step orchestration. Familiarity with CUDA or Triton; the role does not require kernel engineering to be the candidate's primary specialization. Contributions to open-source projects such as vLLM, SGLang, TensorRT-LLM, FlashInfer, LMCache, PyTorch, Triton, Ray, or KServe. Implementation experience with cache-aware request routing, PDD, or WideEP, including diagnosing communication bottlenecks and load imbalance. Familiarity with GPU communication libraries and interconnects, such as NCCL, NVLink, Infiniband, or RoCE. Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. #LI-BH3 Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $195,200 — $262,200 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Palo Alto, California, United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius Token Factory is building an AI training and model post-training capability for frontier model improvement. This role owns the infrastructure that makes large-scale training and RL experiments possible, reliable, reproducible, and efficient. The work sits at the intersection of distributed systems, GPU performance, model training frameworks, RL pipelines, and production engineering. A Senior Machine Learning Engineer owns substantial ML work end to end. They can translate an ambiguous capability goal into concrete experiments, implement and debug training and RL recipes, build the supporting data and systems, and deliver measurable improvements in model quality, experiment throughput, and reliability. They are deeply hands-on and can independently debug both model-behavior failures and distributed training failures. Your responsibilities : Design and run model-training and post-training experiments, including SFT , continued pretraining, preference optimization ( DPO /IPO/ KTO ), and RL methods such as RLHF / RLAIF , PPO , and GRPO . Build reward functions, judge models, verifiers, task environments, and evaluation sets for reasoning, coding, tool use, and agentic workflows. Create synthetic data and data pipelines, including teacher-student generation, self-play, rejection sampling, filtering, and quality scoring. Analyze model-behavior failures and turn them into targeted data, reward, or algorithm improvements. Build and maintain distributed training and RL infrastructure using frameworks such as Megatron- LM , DeepSpeed, PyTorch FSDP /DTensor, Ray, verl, slime, AReaL, or OpenRLHF. Implement and debug parallelism strategies (tensor, pipeline, sequence/context, expert, and data parallelism) and build reliable rollout, reward-serving, checkpointing, and experiment-orchestration components. Profile and improve GPU utilization, memory usage, communication efficiency, training throughput, and inference/serving performance. Design rigorous evaluations and ablations for capability, instruction following, reasoning, tool use, safety, and regression risk. Write clear experiment plans, design docs, benchmark reports, and runbooks, and partner across research and platform teams. Must-haves : Strong Python and PyTorch engineering skills, with the ability to move quickly from idea to experiment to working system. Hands-on experience across at least two of: model training, post-training/ RL , applied modeling, data pipelines, or large-scale ML systems. Ability to design rigorous experiments with baselines, ablations, metrics, and failure analysis. Practical understanding of modern LLM behavior, instruction tuning, preference optimization, and evaluation challenges. Practical understanding of transformer training bottlenecks, memory pressure, communication overhead, and checkpointing. Ability to reason quantitatively about model quality, throughput, utilization, reliability, cost, and research velocity. Strong communication skills and ability to collaborate with researchers, engineers, and leadership. Nice - to - have s : Experience with LLM post-training, RL , agents, reward modeling, synthetic data, or model evaluation. Experience with RL frameworks or pipelines such as verl, slime, AReaL, OpenRLHF, TRL , or custom PPO / GRPO / RLHF systems. Experience with Megatron- LM , DeepSpeed, PyTorch FSDP /DTensor, Ray, Slurm, or Kubernetes on large GPU clusters. Familiarity with NCCL , CUDA , Triton, Nsight, InfiniBand/ RDMA , and H100/H200/B200 clusters, or with model serving and inference optimization. Publications, open-source contributions, or production impact in LLM post-training, RL , reasoning, coding models, synthetic data, distributed training, or evaluation. Experience designing agent environments, tool-use tasks, or verifier-based rewards. Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $195,200 — $262,200 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: In-Office About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin, TX | New York, NY | San Francisco, CA About the Role AI inference is becoming core infrastructure. Every serious application will need access to many models, across many providers, with reliability, observability, security, cost control, and routing built in from the start. AI Gateway is Cloudflare’s bet that this layer should exist at the network edge: close to users, close to compute, and simple enough that a developer can adopt it with one API change. We are looking for a Senior Systems Engineer to help build that layer. This is a deeply hands-on individual contributor role for someone who can move from a half-formed product idea to a working, production-ready system quickly. You will work across the stack — from distributed systems and high-throughput APIs to developer-facing workflows, dashboards, SDKs, and docs — helping define how developers build and operate AI applications on Cloudflare. You should be excited by the current pace of the AI ecosystem. Provider APIs change weekly, new models appear constantly, and developer expectations are rising just as quickly. AI Gateway needs engineers who can build durable infrastructure in that environment without slowing down. We also believe AI should change how we build software, not just what we build. We dogfood AI Gateway, Workers AI, and Cloudflare’s broader agent stack heavily. You should be comfortable using AI-native tools, agents, harnesses, and automation to improve your own engineering loop — and interested in building the internal tools and context that help a small team ship like a much larger one. Responsibilities Build core AI Gateway systems that handle high-volume inference traffic across providers, models, and Cloudflare’s global network. Design and implement APIs, routing primitives, observability features, controls, and developer workflows that make AI Gateway reliable and easy to adopt. Work across product and infrastructure boundaries with Workers AI, Agents, and the broader Developer Platform organization to make Cloudflare’s AI platform feel like one coherent product. Turn ambiguous product and technical ideas into prototypes, design docs, shipped features, and measurable production improvements. Improve reliability, performance, cost efficiency, and debuggability for latency-sensitive AI workloads. Build the software — and the software that builds the software: agents, tests, harnesses, evaluation loops, operational tools, and internal context that help the team move faster with confidence. Sweat the developer experience. Error messages, SDKs, dashboard flows, docs, examples, and API details all matter. Mentor other engineers through design review, code review, debugging, and technical leadership without needing people-management authority. Bring strong opinions, clear judgment, and a willingness to revise your view when data, users, or production reality prove otherwise. Desirable Skills, Knowledge & Experience 5+ years of experience building and operating production systems, ideally in AI infrastructure, developer platforms, cloud infrastructure, edge/proxy systems, high-scale APIs, or distributed systems. Strong systems engineering fundamentals: networking, APIs, reliability, observability, data modeling, performance, and operational tradeoffs. Experience designing or scaling distributed systems where latency, throughput, availability, and correctness all matter. Ability to work comfortably across the stack, from API design and product surfaces to backend services, queues, storage systems, control planes, or performance-critical code. Strong developer tools taste. You have used and built enough APIs, SDKs, dashboards, CLIs, docs, and internal platforms to know what makes them delightful or painful. Clear technical communication: you can write design docs, explain tradeoffs, review architecture, and align engineers and product partners around a practical path forward. A builder’s bias toward working software. You can prototype quickly, ship incrementally, and improve systems while they are already in production. Operational judgment. You understand that at Cloudflare scale, rare bugs are not rare for long, and you build systems that are observable, resilient, and recoverable. Comfort using AI-native development workflows and curiosity about how agents, tools, and automation can improve engineering productivity. Bonus Points Experience building AI/ML infrastructure, inference platforms, model gateways, LLM-powered applications, or provider abstraction layers. Experience building developer-facing APIs, SDKs, CLIs, dashboards, or platform products at scale. Hands-on experience with proxy, edge, gateway, routing, or traffic management systems. Familiarity with the current AI ecosystem: model providers, model capabilities, agent frameworks, inference patterns, and the rough edges developers hit in practice. Experience with cost controls, rate limits, caching, retries, fallbacks, evaluation, or observability for AI workloads. Experience with TypeScript, Go, Rust, or similar systems/backend languages. You have built or heavily customized your own agentic development environment: custom agents, harnesses, tools, or workflows that changed how you ship. You have built something with AI Gateway, Workers AI, or a competing product, and have opinions about what is missing. A track record of writing publicly about developer tools, infrastructure, systems, or AI products you have built. Compensation Compensation may be adjusted depending on work location. For Bay Area based hires: Estimated annual salary of $194,000 - $266,000 For New York City, New Jersey, Washington, Washington DC, and California (excluding Bay Area) based hires: Estimated annual salary of $185,000 - $254,000 Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Enterprise AI Products team builds what makes Claude a daily-use tool for enterprise customers across industries. We focus on organizational context and workflows (plugins, skills, connectors, webhook-triggered processes / agents). In other words, we focus on products that form the connective tissue that lets Claude operate across an organization. A big part of this work is understanding what's blocking adoption and building the capabilities that close those gaps. Much of this is being built 0→1 right now: you'll be shaping the product and the architecture in a market where no one has done this well yet. You'll be a technical leader who thinks holistically about the end-to-end customer experience, partners directly with research to push model capabilities into production, and carries real ownership over what we ship next. What you'll do Own technical design and delivery for enterprise-facing core products, end-to-end across the stack Partner with product, design, and go-to-market to turn enterprise customer workflows into shipped product, not just execute against a spec Set technical direction and standards for your team: architecture, code quality, and how the team builds Work directly with enterprise customers and sales during key conversations, translating what you learn into engineering priorities Work closely with research to make the models better in your domain: shaping evals, surfacing failure modes, and feeding customer learnings back into model development Mentor other engineers and raise the technical bar across the team, working with influence rather than authority Build multi-player, asynchronous agents: department-level processes that are goal-oriented, many-step, and triggered by a webhook, a form, or an email rather than a person typing You may be a good fit if you Have 8+ years of software engineering experience, ideally with 2+ years at a Staff or equivalent technical leadership level Have led the design and delivery of complex enterprise or B2B products across the full stack Have built AI products and know what it takes to turn model capabilities into applications people actually use Are comfortable working directly with enterprise customers and translating what you learn into technical decisions Have built products from 0 to 1 in fast-moving environments, and can set technical direction with limited precedent to lean on Drive cross-team alignment to ship impactful work, with influence over authority Strong candidates may also have Experience working with research to improve domain-specific model capabilities, including evaluation frameworks Experience building extensibility surfaces (plugins, integrations, agent tooling) that third parties or internal teams build on Exposure to both product-led growth and direct enterprise sales The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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 work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Boston, Massachusetts; New York, New York About Workato Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com . Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care . That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers Responsibilities As a Presales Solution Architect , you will be part of Workato’s global solution consulting team and architecture community and own the technical alignment with the customer during the pre-sales lifecycle through workshops and interactions that define the customer’s future state for AI agents. If this sounds right up your alley, please apply. We look forward to getting to know you! In this role, y ou will also be responsible to: Own the technical diagnosis, prescription, and validation phases of the sales cycle and advise customers consultatively. Effectively team with AEs, Solution Architects, and other functions to evangelize our platform, approach, and architecture tailored to the customer’s business and drive the technical sales stages to completion. Work closely with Customer Success to make the solution a reality for the customer. Articulate and educate on business, technical and architectural concepts to a variety of audiences, including business and technical teams. Create and deliver custom product demonstrations to support the sales cycle Perform business and technical discovery with customer prospects and be able to architect/build proposed solutions using Workato products Successfully manage and execute technical workshops and proof of concepts (POCs), on-site or remote Able to respond to functional and technical elements of RFIs/RFPs Collect feedback from the field, synthesize, analyze and channel to Product Management and Engineering for product roadmap Responsible for representing the product to customers and at field events such as conferences, seminars, etc. Requirements Qualifications / Experience / Technical Skills BA/BS or equivalent education - Computer Science degree Good pre-sales experience in a SaaS/iPaas organization Hands-on experience with automation technologies, middleware, integration architecture patterns, web services technologies, enterprise messaging patterns, APIs and Databases Experience with cloud technologies - iPaaS, SaaS applications, cloud infrastructure Soft Skills / Personal Characteristics Ability to learn new concepts, technologies and solve problems. Strong interpersonal skills with the ability to convey and relate ideas to others and work collaboratively to get things done. Excellent presentation abilities and composure in front of all levels of technical and business audiences. Ability to lead architectural discussions. A passion for technology and translating that passion into business impact for customers. Excellent verbal communication, written communication, and presentation skills in front of all audiences. Ability to travel as needed and to work flexible hours throughout the sales territory. (REQ ID: 2793)

Location: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As one of Harvey’s founding SMB Account Executives, you'll play a pivotal role in driving growth within the legal and professional services markets. You will be responsible for establishing new business relationships with small law firms and in-house legal teams, deeply understanding their challenges, and delivering AI solutions that transform how they work. By combining a high-velocity sales motion with a consultative, solution-driven approach, you’ll set the foundation for how we win in SMB and create long term impact for our clients. We’re looking for someone who thrives in fast-paced, early-stage environments, is energized by building from scratch, and is passionate about bringing Harvey’s mission to life. WHAT YOU'LL DO - Own your book of business by prioritizing warm leads and a named account list to maintain a high velocity sales motion. - Manage the new business lifecycle from prospecting to qualifying, validating Harvey’s solution, and contracting. - Achieve and exceed revenue targets and other key sales metrics. - Build strong relationships with key decision-makers and stakeholders, understanding their pain points and aligning Harvey's solutions with their needs. - Conduct high velocity, tailored client evaluations, including product demonstrations and presentations. - Effectively work cross-functionally across the organization to shape Harvey’s solutions to meet SMB customer needs. Collaborate closely with the engineering and product teams to stay updated on the latest AI advancements and tailor solutions to meet client goals. - Proactively develop tactics, collateral, and messaging to improve the SMB team’s performance, documenting learnings that can be applied across accounts. WHAT YOU HAVE - Proven track record of selling complex software solutions, with the ability to successfully execute on a consultative, solutions-oriented, value-based selling methodology at high velocity. - Capable of independently leading a sales cycle from start to finish - Ability to independently manage a pipeline, accurately forecast key sales performance metrics, and consistently maintain CRM hygiene - Ability to lead a multi-threaded sale with executive stakeholders – especially the ability to convey technical concepts to non-technical audiences. - Demonstrated passion for Harvey’s mission and strong understanding of AI and its potential applications in knowledge work. Interest in the legal profession and helping lawyers do their jobs better and more efficiently. - Team player who can collaborate effectively across internal functions (product, legal, etc.) to achieve common goals. - Energized by contributing to the development of our team, sales processes, and culture, refining the value proposition of our solutions and creating sales resources to drive our success. COMPENSATION $180,000 OTE 50/50 Split DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-JL1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: District of Columbia; New York, NY Workplace: OnSite About the Company Rain is the global stablecoin payments platform for enterprises, neobanks, platforms, developers, and AI agents. Our technology allows partners to move, store, and use stablecoins instantly and compliantly through global payment cards, rewards, on/offramps, wallets, and cross-border rails. As both a Visa and Mastercard Principal Member, Rain issues cards that work at more than 175 million merchant locations in over 220 countries and territories. Built natively for stablecoins and trusted by more than 100 organizations worldwide, Rain delivers secure, scalable infrastructure that makes money move freely and instantly around the world. You will have the opportunity to deliver massive impact at a hypergrowth company backed by some of the top investors in fintech, crypto, and SaaS. In January 2026, we closed a $250M Series C led by ICONIQ, valuing Rain at $1.95B, with Sapphire Ventures, Dragonfly, Bessemer Venture Partners, Galaxy Ventures, FirstMark, Lightspeed, Norwest, and Endeavor Catalyst also participating. If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk. Our Ethos We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company. About the Team You'll join Rain's lean legal team and take a leading role in our M&A and corporate development efforts as we scale globally. You'll operate as a strategic partner to Rain's leadership — identifying, structuring, negotiating, and closing acquisitions, investments, and other strategic transactions — while also supporting the broader corporate legal function across a fast-moving, heavily regulated fintech platform. What you'll do - Lead M&A execution: manage all legal aspects of acquisitions, divestitures, and strategic investments from LOI through closing and post-closing integration, including due diligence coordination, deal structuring, and negotiation of definitive agreements. - Draft and negotiate transaction documents: purchase agreements, merger agreements, and ancillary documents (escrow agreements, transition services agreements, employment and consulting agreements, IP assignments), plus board and stockholder consents. - Coordinate due diligence: partner cross-functionally with Finance, Compliance, Risk, Product, and Engineering to identify and assess deal risks and structure appropriate protections. - Advise on corporate structure and expansion: support entity formation and structuring for international expansion, working with local counsel as Rain enters new markets. - Support regulatory approvals in M&A, including change-of-control filings with state regulators (e.g., money transmitter license transfers) or foreign financial authorities (e.g., EMI, VASP, or payment institution license approvals). - Support general corporate matters, including drafting and negotiating intercompany agreements, advising on corporate structuring, and handling other corporate legal needs as they arise. - Collaborate across the legal team: partner with colleagues focused on licensing, compliance, and regulatory matters to align corporate transactions with Rain's regulatory obligations and licensing requirements. You are likely to succeed if you have: - 4 to 8 years of experience in corporate law, with meaningful M&A transaction experience (law firm, in-house, or a combination). - Hands-on experience drafting and negotiating acquisition agreements, investment documents, and related ancillary agreements. - Strong understanding of corporate governance, entity management, and Delaware corporate law. - The ability to manage multiple workstreams and competing deadlines in a fast-paced environment. - Clear, confident communication skills, with the ability to translate complex legal concepts for business stakeholders. - Strong hands-on drafting skills, with the ability to handle a meaningful share of contract and transaction drafting in-house. - A JD and admission to at least one U.S. state bar. Bonus attributes: - Ability to support corporate governance: maintain corporate records and entity management across Rain's global subsidiary structure. - Ability to negotiate commercial contracts. - Experience at a fintech, payments, crypto, or digital assets company. - Familiarity with cross-border M&A or international entity structuring. - Background in venture capital transactions (SAFEs, convertible notes, priced rounds). - Experience working on inter-company agreements and corporate structuring. - SEC reporting or compliance experience. Things that enable a fulfilling, healthy and happy experience at Rain: Unlimited time off 🌴 Unlimited vacation can be daunting, so we require Rainmakers to take 10 days minimum for themselves. Flexible working ☕ We support a flexible workplace – work from home, come into an office, or both. We want everyone to work in an environment where they're their most confident and productive selves. New Rainmakers receive a stipend to set up a comfortable home workspace. Easy to access benefits 🧠 For US Rainmakers, we cover 95% of your health, dental, and vision plan costs and 90% for your dependents, plus a 100% company-subsidized life insurance plan. Retirement goals💡 Plan for the future with confidence. We offer a 401(k) with a 4% company match. Equity plan 📦 Every Rainmaker gets an equity option plan so we all benefit from our success. Health and Wellness 📚 High performance begins from within. Rainmakers receive a monthly stipend to be used for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you! In-office meals 🍜 Rainmakers working from the office enjoy lunch and dinner on us, covered with a DoorDash credit. Team summits ✨ Summits play an important role at Rain. Time together helps us build relationships and a common destiny. Expect team and company offsites, both domestic and international.

Location: New York, Chicago, or Remote CCC Intelligent Solutions Inc. (CCC) is a leading cloud platform for the multi-trillion-dollar insurance economy , creating intelligent experiences for insurers, repairers, automakers, part suppliers, and more. At CCC, we’re making life just work by empowering more than 35,000 businesses with industry-leading technology to get drivers back on the road and to health quickly and seamlessly. We’re pushing boundaries with innovative AI solutions that simplify and enhance the claims and repair journey. Through purposeful innovation and the strength of its connections, CCC technologies empower the people and industry relied upon to keep lives moving forward when it matters most. Learn more about CCC at www.cccis.com . The Role As a Senior Software Engineer, you'll own meaningful parts of the product end to end and work independently within a problem area to production. You'll join a new engineering group at CCC building AI-native products for our auto casualty business, the injury side of auto claims. The group is small and senior, and it's growing fast. Our teams work on: Medical bills: AI products that help claims teams handle the medical bills on injury claims accurately and efficiently. Claims decision support: products that help claims professionals make better, faster decisions on injury claims. Agentic Rules Platform: the rules engine and agentic tooling behind decisions across our casualty products, plus the evaluation infrastructure every team relies on. Your impact: You'll build AI-native products that change how injury claims are handled, end to end: the services, data pipelines, integrations, and the interfaces that claims experts use every day. A wrong decision on a medical bill or a settlement has a cost for a carrier and for a person trying to recover. You'll move between quick prototypes that test an idea in days and durable production systems that carriers rely on. Salary range is: $180,000 - 225,000 This position is bonus eligible. Key Responsibilities: Build full-stack, AI-powered products in TypeScript and Python, from the data model and APIs to the interfaces experts use Work directly with product managers, ML and AI engineers, and the claims experts who use what you build Own what you ship: design docs, code review, reliability, security, and careful handling of sensitive health data What success looks like In your first month , you've shipped to production and can work independently in the codebase. By six months, you own an area of the product and have taken a feature from idea to customers. Requirements: Typically 5+ years of professional software engineering experience Strong, hands-on full-stack skills in TypeScript and Python, including a modern front-end framework (for example React) and backend services Solid data modeling and relational database design, including multi-tenant systems A track record of taking ambiguous problems to production, working closely with product and customers Real experience shipping faster with AI-assisted or agentic engineering tools, with examples you can walk us through Nice to have Experience building products on LLMs or AI agents Interview Policy & Privacy Notice: A video interview is required for this position. Video interviews are transcribed. Transcriptions are retained and may be reviewed by CCC and our recruiters. Candidates are not permitted to use generative AI or automated assistance during the interviews unless explicitly allowed by the interview team for a specific exercise. Our Job Applicant Privacy Notice is available HERE . About CCC's Commitment to Employees: CCC Intelligent Solutions understands that our employees play an integral role in our vision to shape a world where life just works. Our team is defined by our values of Integrity, Customer-Focus, Innovation, Inclusion & Diversity, Tenacity, and Connection. Through diverse perspectives, purposeful innovation, and the strength of connections, our technologies empower the people and industry relied upon to keep lives moving forward when it matters most. At CCC, together everyone can thrive as we innovate and collaborate, creating employee experiences that just work. We are committed to providing opportunities for our people to make real-life impacts, advance in their careers, and contribute to CCC’s success. CCC offers competitive compensation and benefits to support you and your families, including: 401K Match Paid time off Annual Incentive Plan Performance Bonus Comprehensive health insurance Adoption Assistance Tuition Reimbursement Wellness Programs Stock Purchase Plan options Employee Resource Groups For more information about our benefits, please check out our careers site . Here, you belong. You are seen, valued, and respected. We celebrate you for who you are and all you bring. Every voice is heard and is important to our success. You can hear what employees have to say about our culture here

Location: New York, Chicago, or Remote About Us: When someone is out of work with a serious injury or illness, the last thing they need is a claims process that's slow, confusing, or unfair. That's what EvolutionIQ is here to fix. EvolutionIQ builds AI that helps insurance claims teams handle claims more accurately, fairly, and efficiently, so more people impacted by injury or illness can get back to their lives with dignity and stability. As part of CCC Intelligent Solutions (NASDAQ: CCC), we pair AI-native product development with something almost no one else in this market has: 40 years of proprietary data and deep relationships with the largest, most complex carriers in the world. It's a rare combination, and it's what lets us build products others can't. Our people come first, and we think it shows. We've been named one of Inc.'s Best Workplaces three years running, plus Built In's Best Places to Work in 2025 and 2026. Your Impact: This is a hands-on Staff Engineer role that impacts a whole business. You'll help architect systems and set the engineering best practices others build on, think hard about where and how to bring AI to bear (the right tools, in the right systems, at the right time), and write the code that turns those decisions into value for our customers. There's serious architecture in this work: assessing complex, sometimes messy legacy platforms, deciding what to keep, rebuild, or replace, and setting the technical direction. And there's serious coding: building the production systems that direction turns into, and prototyping new ideas from scratch. The two reinforce each other, and we're looking for someone who wants both the architectural judgment and the daily craft of writing excellent code. Key Responsibilities: Architect systems and write the code that makes them real, bringing EvolutionIQ's AI-native products into CCC's auto casualty business Dig into complex, sometimes messy legacy systems; decide what to rebuild, replace, or keep; and drive that work hands-on Build backend architectures that hold up in production, moving between fast prototypes and stable, long-lived systems, with AI and agentic tools core to how you work Set the engineering standard (best practices, design docs, code reviews, consistency) in close partnership with Product, Data Science, and Data Engineering Requirements: 8+ years of engineering experience, with a track record of owning features end to end: partnering with Product, scoping, designing data models, implementing, and living with the system long-term A strong hands-on coder in our stack: Python primarily, with TypeScript / JavaScript across the front end Deep architectural experience with existing systems, not just greenfield: evaluating, modernizing, and replatforming, including multi-tenant, multi-user backends and solid relational database design Experienced with AI-assisted and agentic engineering tools, and can point to real work you've shipped faster because of them Ask the right questions to understand a customer's business problem, and connect your technical work to business impact A crisp communicator with the emotional intelligence to build trust across teams Nice to Have: Experience across both startups or scale-ups and larger enterprises, which mirrors the EvolutionIQ-into-CCC nature of this work Familiarity with insurance, claims, or the auto casualty space Work-life, Culture & Perks: Compensation : The base salary range is $245-270K , with flexibility depending on a candidate’s background and experience plus annual bonus plan Well-Being : Medical, dental, vision, short & long-term disability, life insurance and AD&D, and 401k matching. Additional family, wellness, and pet benefits. Home & Family : Paid time off and sick leave, 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers). We offer a flexible schedule for new parents returning to work. Office Life : Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend. Growth & Training : $1,000/year for each employee for professional development, as well as opportunities for tuition reimbursement. Sponsorship : We are open to sponsoring candidates currently in the U.S. who need to transfer their active visa. EvolutionIQ appreciates your interest in our company as a place of employment. EvolutionIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.