Вакансии

You will build the pipelines, internal tools, and agents that decide which companies we go after, how we reach them, and what our sellers see when they open their laptop in the morning. Most of what a sales ops team used to do by hand is now something you can write software to do.

-Участвовать в миграции проекта с Vue 2 на Vue 3. -Разрабатывать новый и поддерживать существующий функционал продукта Ида.Лайт.

We’re looking for a Python developer with strong teaching skills to lead a practical, project-based program for students aged 10–15. Your responsibilities.

Location: San Francisco, California Workplace: Hybrid ABOUT SENTRY Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. ABOUT THE ROLE You’ll own AI-assisted coding within Sentry’s Platform Engineering organization, building the systems and workflows AI coding agents need to contribute reliably to our codebase. Your work will span engineering teams, with Developer Infrastructure as your home base. Your first focus will be making internal developer systems accessible to agents. Many workflows currently depend on human interaction through a UI. You’ll identify the most valuable gaps, expose those capabilities through APIs, and connect tools such as Claude Code to complete development workflows. From there, you’ll improve the quality of AI-generated pull requests and automate recurring engineering work, including dependency upgrades, minor bug fixes, and maintenance. You’ll build the context and execution environment agents need: relevant repository information, tools and permissions, state management, tests, logs, recovery mechanisms, and evaluations. You’ll partner with engineers across Sentry to understand where agents succeed, where they fail, and which changes improve the development process. This role combines technical direction with hands-on implementation, from choosing the problems to solve through building, measuring, and improving the solutions. This role is based in San Francisco, with three days per week in the office to work closely with Platform teams and engineering leadership. WHAT YOU’LL DO - Set priorities for AI-assisted development at Sentry, using engineer feedback and workflow data to identify where agents would provide the most value. - Make internal developer systems accessible through APIs and build integrations enabling agents to complete workflows across those systems. - Build context systems and agent execution tooling, including tool access, permissions, checkpoints, retries, and logging. - Develop automated checks, evaluations, and feedback loops to improve the correctness, maintainability, and review readiness of AI-generated pull requests. - Automate recurring work such as security dependency upgrades, minor bug fixes, and routine maintenance. - Improve supporting developer workflows, including issue triage and CI/CD, where they limit agent effectiveness or create repetitive work for engineers. - Lead changes across engineering teams, build agreement on priorities, and measure whether the tools reduce manual work and improve delivery. HOW YOU WORK - You’ve used AI coding agents on real development work and have informed views on their strengths, limitations, and failure modes. - You bring structure to ambiguous problems, choose a practical starting point, and follow through on delivery. - You move comfortably between infrastructure, backend systems, and developer tooling. - You know when to build, integrate an existing tool, involve another team, or stop work with limited value. - You combine data with direct feedback from engineers to assess whether a solution improves their work. - You explain technical tradeoffs clearly and build alignment across teams and senior leadership. QUALIFICATIONS - 10+ years of software engineering experience, including hands-on ownership of production systems. - Experience building developer tools, infrastructure, or automation used by engineering teams, such as CI/CD systems, internal APIs, code review tooling, or agent workflows. - Hands-on experience using AI coding tools and agents, with an understanding of how context, tool access, and validation affect their output. Prior machine learning experience is not required. - Strong software engineering and system design fundamentals, including experience building reliable integrations across systems. - A track record of leading cross-team technical initiatives from problem definition through implementation and adoption. - Clear written and verbal communication, including explaining technical decisions and recommendations to senior engineering leaders. NICE TO HAVE - Experience building agent harnesses, context systems, evaluations, or automated pull request workflows. - Experience with code review tooling, static analysis, or automated testing. - Experience measuring and improving developer experience or engineering productivity. - Experience with large-scale distributed systems or monolith decomposition. - Public contributions to developer tooling or AI-assisted development projects. The base salary range that Sentry reasonably expects to pay for this position is $220,000 to $400,000 USD, plus an annual performance bonus of up to 15% of base salary. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs. EQUAL OPPORTUNITY AT SENTRY Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io. Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.

About the role You are an architect for quality with the vision to define and build QA processes for any sort of app. You can work at any company in the world, but you choose us because you want to use your versatility and "nose for bugs" to solve new and interesting challenges.

What You'll Do: Design, build, and deploy machine learning models that predict key business outcomes such as churn, expansion, conversion, and customer engagement. Develop and maintain scalable ML pipelines that continuously ingest data, retrain models, validate performance, and serve predictions in production.

Location: Warsaw, Mazowieckie, Poland; Sofia City, Bulgaria; Limassol, Cyprus Workplace: hybrid We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team. As a Technical Product Operations Manager, you will own the work that moves our platform forward but does not fit inside any single team. Our engineering organisation is split across several tribes, each with its own services, roadmap and release cadence. Platform migrations, retiring shared dependencies, standardising how every squad works and rolling out new engineering practices all cut across those boundaries, and you will be the person who holds that work end to end. You will run cross-team technical programs, help drive and improve the engineering processes everyone relies on, and make sure both are backed by real data rather than assumptions. This is not a people management role, and you will not write production code. You do need to be technical enough that engineers treat you as a peer. The role is broad and hands-on. In a typical week you might sequence a Kafka topic migration across four squads, fix a company-wide process that keeps stalling at the same step, pull numbers from a database to settle a question about impact, and ship a small automation that removes a recurring manual task for the whole department. Continuous improvement and AI are central to the role: you will constantly look for better ways for engineering to work and apply AI where it clearly improves throughput, quality or speed. Responsibilities: Run cross-team technical programs such as platform migrations, dependency removals, standardisation initiatives, decommissioning, and large infrastructure changes. For each one, break broad goals into sequenced plans with named owners. Find the right decision-makers when ownership is unclear, facilitate technical discussions (including where squads disagree), and secure clear decisions with committed dates. Maintain a single, accurate view of each programme's phase, blockers, owners, and delivery dates. Raise conflicts between sources rather than smoothing them over. Produce concise, accurate status reporting that engineering leadership can act on. Drive and improve company-wide engineering processes, such as tech design review. This means sharpening the processes already live, establishing new ones where needed, and running their cadence, templates, queues, and follow-through. Gather feedback from engineers and separate friction worth removing from friction that serves a purpose, then turn the findings into concrete process changes. Instrument processes so their health is measured rather than assumed, for example review turnaround time, rework rate, or how often work reaches build without a required decision. Query data directly using SQL, dashboards, and APIs, and reconcile what Jira reports with what systems actually show. Identify recurring manual work across engineering and automate it, using AI where it adds real value, then measure whether the automation delivered actual savings. Build lasting assets such as playbooks, templates, runbooks, automated reporting, and agent workflows that keep working after each programme ends, and help colleagues adopt the AI practices that work. Requirements: Degree in STEM or other quantitative field. Minimum 4 years of experience in technical programme management, engineering operations, or delivery management within a high-performance software engineering environment. Proven track record of delivering cross-team technical programmes in a multi-team organisation. Strong technical understanding of modern software systems, including services, deployments, queues, metrics, Kubernetes, Kafka, CI/CD, releases, and rollbacks. Ability to read architecture diagrams, tech design documents, and ADRs, and judge whether they are ready for review. Proficiency in SQL and comfort working with dashboards, APIs, and Jira. Practical experience using AI tools to improve personal and team productivity. Strong stakeholder management and facilitation skills, with the confidence to drive decisions where ownership is unclear. Clear, concise written communication for senior audiences. Strong ownership mentality: proactive, accountable, and execution-focused. What Will You Get in Return?   •  Competitive Salary: We believe great work deserves great pay! Your skills and talents will be rewarded with a salary that makes you feel valued and motivated. •  Work-Life Harmony: Join a company that genuinely cares about you - because your life outside of work matters just as much as your time on the clock. #LI-Hybrid •  Generous Time Off: Need a breather? Our annual leave policy lets you recharge and enjoy life outside of work without a worry. •  Employee Referral Program: Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team. •  Comprehensive Health & Pension Benefits: From medical insurance to pension plans, we’ve got your back. Plus, location-specific benefits and perks! •  Workation Wonderland: Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply). Adventure awaits! •  Volunteer Days: Make a difference! Take two additional paid days each year to support causes you care about and give back to the community.   Be a key player at the forefront of the digital assets movement, propelling your career to new heights! Join a dynamic and rapidly expanding company that values and rewards talent, initiative, and creativity. Work alongside one of the most brilliant teams in the industry.

Задачи: — Разрабатывать и поддерживать ETL процедуры в Airflow — Проектировать, реализовывать и внедрять распределённые системы обработки и хранения данных — Участвовать в развитии архитектуры хранилища — Работать с реляционными/NoSQL базами данных — Разрабатывать и поддерживать процедуры автоматизации аналитической инфраструктуры Требования: — Уверенное знание SQL — Уверенное знание Python — Опыт разработки ETL процедур от 3-х лет — Опыт работы с реляционными СУБД — Навыки командной разработки в Git — Будет плюсом опыт работы с современными code-driven ETL/ELT инструментами, распределенными колоночными СУБД (ClickHouse, Vertica, Greenplum), Docker, Kubernetes, S3 хранилищем, CI/CD процедурами Условия: — Официальное трудоустройство и конкурентная заработная плата — Удаленный формат работы с возможностью работать в офисе рядом с метро Дмитровская, Савеловская — Предоставление современной рабочей техники, дополнительного монитора — Гибкое начало рабочего дня по согласованию с руководителем — Медицинское страхование (ДМС со стоматологией), страхование от несчастных случаев и критических заболеваний после испытательного срока — Консультации психолога от сервиса «Ясно» — Поддержка в обмене знаниями и идеями, поощрение выступлений на митапах — Бесплатная подписка на сервис корпоративных скидок и предложений BestBenefits и доступ к онлайн-библиотеке издательства «МИФ»

• Участие в технических решениях: выбор стеков, оптимизация производительности, контроль архитектуры. • Code-review и менторство: помогать коллегам расти, делиться экспертизой, удерживать высокий уровень кода.

— Разработка масштабной системы видеомониторинга и интеллектуальной видеоаналитики. — Техническое лидерство направления Computer Vision.

- Desktop приложение на Electron. ✅ 4 + года React и Angular.

Location: San Francisco Bay Area, USA Workplace: Hybrid WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. ABOUT THE ROLE We’re looking for a GTM Engineer to build, customize, and connect the business systems that power our go-to-market organization. You’ll work across Ironclad, Clay, HubSpot, Salesforce, and n8n to streamline contract management, automate revenue workflows, and make our systems reliable as we scale. This is a hands-on role for someone who combines operational judgment with strong engineering skills. You’ll partner closely with RevOps, Sales, and Legal to translate business needs into scalable workflows, custom integrations, and measurable improvements. WHAT YOU’LL DO - Own the customization and ongoing improvement of Ironclad and other business systems, including workflows, approval routing, data models, and integrations. - Partner with Legal and RevOps to connect contract intake, approvals, execution, and contract data with our CRM and downstream systems. - Build and maintain custom API integrations and automated workflows across Ironclad, Clay, HubSpot, Salesforce, n8n, and other tools. - Develop prospecting, enrichment, lead routing, and lifecycle automation that helps our GTM teams operate efficiently. - Design code-level monitoring, logging, and alerting to detect integration failures, workflow errors, and data quality issues. - Define and enforce data freshness Service Level Objectives (SLOs), including refresh schedules, monitoring, and remediation for stale or failed syncs. - Enforce system-wide email deliverability policies, including validation, suppression lists, sending limits, and bounce and complaint monitoring. - Troubleshoot issues across connected systems, identify root causes, and implement durable fixes. - Document integrations, system architecture, and operating procedures so workflows remain maintainable as the business grows. REQUIREMENTS - 5+ years of experience in GTM Operations, Revenue Operations, Growth Engineering, or a related technical operations role. - At least 3+ years of hands-on experience working with Ironclad, Clay, HubSpot, Salesforce, and n8n. - Strong experience customizing Ironclad contract management workflows and connecting contract data with other business systems. - Proficiency in Python or JavaScript/TypeScript, SQL, REST APIs, webhooks, and authentication methods such as OAuth. - Demonstrated ability to build reliable integrations, including error handling, retries, rate-limit management, and monitoring. - Experience implementing email deliverability controls and maintaining accurate, timely data across connected systems. - Strong understanding of GTM processes, CRM architecture, and the relationship between sales workflows, contracts, and revenue data. - Excellent judgment, communication, and prioritization skills, with the ability to turn ambiguous business needs into practical technical solutions. - Strong ownership and comfort working independently in a fast-moving startup environment/ COMPENSATION & BENEFITS We offer a competitive and thoughtfully structured compensation package designed to align with impact and growth.   Base Salary: The anticipated salary range for this role is $130,000 - $175,000, depending on experience, skills, and location. In addition to cash compensation, we offer equity and a comprehensive benefits package to support you both professionally and personally.   This is a hybrid role based in the San Francisco Bay Area. Team members are expected to work from our San Francisco office at least three full days per week, with the remaining days worked remotely and are expected to be available during agreed working hours and to maintain sufficient overlap with the relevant team’s time zone. We value in-person collaboration, active communication, responsiveness, and close partnership across teams. Higgsfield AI is an equal opportunity employer. We are committed to building a diverse and inclusive team and do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic.

Location: United States, Aliso Viejo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Senior Software Engineer - AI & Agentic Architecture This is a senior individual-contributor role combining deep hands-on engineering with multiple agentic frameworks & SDKs, harnesses, MCP, and APIs, technical leadership, and close collaboration with engineering, security, and product teams. You'll design and ship agentic systems, developer tooling, and reusable platform capabilities that improve productivity across SIE. What you'll do: Agentic & AI Engineering Design, build, and operate production-quality agentic applications using agentic SDKs/harnesses — including multi-agent orchestration, subagent delegation, tool integration, and lifecycle hooks. Design Model Context Protocol (MCP) tool and resource interfaces that give coding agents/harnesses safe, reliable access to backend systems and enterprise data. Engineer prompts for reliable structured output (JSON schemas, few-shot examples, validation/retry loops) and build evaluation frameworks to measure and improve output quality. Manage context effectively across long documents, multi-turn conversations, and multi-agent handoffs; design escalation and human-in-the-loop patterns for production reliability. Developer Productivity Configure and extend Codex/Claude Code for team-wide use: AGENTS.md/CLAUDE.md hierarchies, custom slash commands, Agent Skills, path-specific rules, and plan mode. Integrate agentic development into CI/CD pipelines for automated code review, test generation, and PR feedback, tuned to minimize false positives and duplicate findings. Build and maintain MCP server integrations (project- and user-scoped) that extend agent-native development capabilities across engineering workflows. Identify high-value opportunities for AI-assisted development and design reusable capabilities that multiple teams can adopt, not just one-off solutions. Discovery, Prototyping & Production Delivery Partner directly with engineering teams to understand workflows, pain points, and opportunities through hands-on discovery. Rapidly prototype and validate new AI capabilities with real users, then take successful prototypes into secure, observable, maintainable production systems. Own the full lifecycle: implementation, testing, deployment, monitoring, and iteration. Technical Leadership Provide hands-on technical leadership through architecture discussions, code reviews, and troubleshooting of agentic systems. Mentor engineers on agentic design patterns, prompt engineering, and agent-native development practices. Communicate tradeoffs, risks, and results clearly to both technical and non-technical stakeholders. Contribute to engineering standards, reusable patterns, and documentation that help other teams build effectively with agentic development tools. Requirements 6+ years of professional software engineering experience, including significant hands-on work building and operating AI/LLM-powered or agentic applications. Strong programming skills (Java, Python, Go, Rust, or C++) and solid engineering fundamentals — API design, testing, debugging, code review, maintainable code. Practical, production-grade experience with agentic SDKs/harnesses, MCP, and LLMs — tool use, orchestration, RAG, context management, structured output, and evaluation. Experience designing MCP tool/resource interfaces and reasoning about tool selection, error handling, and reliability in multi-agent systems. Demonstrated experience integrating AI into CI/CD and developer workflows. Ability to work in ambiguous problem spaces, evaluate tradeoffs, and make pragmatic engineering decisions. Strong written and verbal communication skills, with experience mentoring and leading through influence. Bachelor’s degree or equivalent. Preferred Qualifications Demonstrated expertise across agentic architecture, MCP integration, Codex/Claude Code configuration, prompt engineering, and context management. Experience building multi-agent research or customer support systems, or structured data extraction pipelines. Experience with AWS, Docker, Kubernetes, Terraform, and GitOps in support of AI/agentic infrastructure. Familiarity with vector databases, embeddings, and AI evaluation frameworks. Contributions to open-source projects involving AI, agentic systems, or developer tooling. Strong systems thinking — understands how models, agents, tools, context, APIs, data, and infrastructure fit together as production systems, and can reason about dependencies and tradeoffs across the stack. A track record of adapting quickly to new AI tools, models, and frameworks as the space evolves. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $177,300 — $265,900 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

- 2D-анимация в любом софте — Toon Boom, Animate, Moho, что удобно. Запускаем long/Shorts-form направление: 10-минутные эпизоды, тот же стиль, те же персонажи, одно дело от начала до конца.

Location: United States (Remote) Workplace: Remote ABOUT ONEPAY OnePay is the consumer fintech trusted by millions of Americans to make money better. Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast. We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers. We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining. But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are: - Ready to run - Hungry and driven by urgency - Exceptional at what they do, with low ego - Comfortable operating in motion THE ROLE As a Quality Platform Engineer at OnePay, your work will directly shape how confidently every engineering team ships to production, building the internal tooling that catches problems before they reach customers of a financial platform millions of people trust. You will: - Design and own shared automation frameworks used by engineering teams across web, mobile, and backend services - Build and maintain infrastructure that runs automated suites reliably at scale, including flaky-test detection and triage tooling - Partner with engineering teams to raise coverage and testing maturity, embedding quality practices into the development workflow rather than bolting them on afterward - Develop platform for test environment provisioning, data management, and parallelized execution to keep feedback loops fast - Define quality standards, provide observability (coverage, pass rates, run times), and maintain documentation and best practices to help engineers write and maintain effective automated tests YOU BRING - 5+ years of professional experience in frontend/backend/platform engineering with a strong testing focus - Proficiency in TypeScript/Node.js or similar languages, with experience architecting test frameworks rather than just writing test cases - Experience with cloud-native infrastructure (Kubernetes, AWS) and containerized test environments - Familiarity with testing across the stack: API/integration testing, end-to-end testing for web and mobile (e.g., React Native) - Strong communication and collaboration skills, able to influence testing practices across multiple engineering teams - Drive and proactivity - everyone here is a builder and executor TOOLS WE USE We use Typescript front to back, with node and NestJS frameworks for server code and React Native for our iOS, Android, and Web clients. We run on a highly distributed cloud-native stack with Kubernetes and AWS, and scale and resiliency are at the heart of everything we build. We also embrace agentic development, so engineers have their choice of a variety of models and agent harnesses, including Claude Code, Cursor, Codex, and more to fit their workflow. While you don't need experience with our exact stack, familiarity with modern software engineering practices will help you ramp up quickly. WHAT WE OFFER - Competitive base salary, stock options, and health benefits from Day 1 - 401(k) plan with company match - Remote-friendly (US), flexible time off (FTO), and opportunities for growth - A high-growth, mission-driven, inclusive culture where your work has real impact STANDARD INTERVIEW PROCESS Our process varies by role. Most candidates go through: - AI-assisted initial screen - Interview with Talent Partner - Technical or Hiring Manager Interview - Team Interview - Executive Interview - Offer! EQUAL EMPLOYMENT OPPORTUNITY To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.

Location: San Francisco Workplace: Hybrid About WorkOS 🚀 WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations. We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid. As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products. ABOUT THE ROLE We’re hiring an experienced Engineering Manager to lead Dashboard, the team helping customers get more value from the WorkOS suite and helping WorkOS grow as a business. We’re looking for a leader who is excited to manage engineers, but approaches the role as a startup founding member would. You’ll lead engineers working across customer onboarding and growth, billing and monetization, and AI assistance in the WorkOS dashboard. The team’s work connects the customer journey from signup and integration through production and expansion. You’ll partner closely with design, go-to-market, finance, and other engineering teams to make that journey simpler and more effective. This role offers meaningful autonomy to shape what we build and why. It’s a great fit for a strong product thinker who enjoys working closely with product managers and taking the lead on product decisions when the opportunity calls for it. You’ll have room to identify customer problems, propose new directions, and carry ideas from discovery through launch, with ownership of the outcomes. If you’re excited by the chance to combine engineering leadership with product judgment, there’s a lot to build here. You’ll also drive technical strategy, empower your team to execute on projects with a direct impact on customer success and the business, and play a pivotal role in scaling the team and recruiting exceptional engineers. WHAT YOUR TEAM WILL BUILD - Growth and onboarding: help developers move from signing up to integrating and running WorkOS in production. Improve onboarding and next steps, and work with go-to-market teams on timely outreach informed by product signals. - Billing and monetization: build annual-credit capabilities, make billing more reliable and automated, and give customers clearer pricing, usage, and credit information in the dashboard. - AI assistance for developers: bring the Dashboard Agent, WorkOS MCP server, Ask WorkOS, and Support Bot into a coordinated experience, with shared retrieval, evaluations, and quality standards. Help developers get useful, consistent answers and make progress with WorkOS. RESPONSIBILITIES - Build and lead a high-velocity team that ships product fast and with polish across growth, monetization, and developer assistance. - Be deeply technical and hands-on: read the PRs, write prototypes, and work with technical leads on architecture and project scope. - Shape the roadmap in close partnership with product managers, design, go-to-market, finance, and engineering. Bring your own product perspective, identify opportunities, and drive product decisions directly where needed—from defining the problem and choosing an approach to measuring the outcome. - Help the team improve the customer journey from signup to production and expansion, using product signals and customer feedback to choose what to build next. - Balance rapid product iteration with the reliability and correctness customers need from billing and the quality they expect from AI assistance. - Push for clarity, focus, and high energy in every sprint. Drive urgency without burning people out. - Spend time with customers and engineers alike—digging into pain points, testing assumptions, and improving the craft. - Coach, mentor, and grow a team of curious, driven engineers through direct feedback, clear goals, and meaningful ownership. - Partner with recruiting to attract, hire, and retain exceptional engineering talent. QUALIFICATIONS - Track record of having successfully led product-focused engineering teams in high-performing organizations that shipped real impact. - You've written code at a high level, and you still love to get your hands dirty. You view leadership as an amplifier, not a step back. - Bias for action and scrappiness: You don’t over-optimize for process. You optimize for velocity, customer value, and learning. - You deeply care about the developer experience. You think about UX, APIs, performance, edge cases, and joy. - You ask "why" obsessively, and you push yourself (and your team) to learn constantly. - You build trust, give direct feedback, and create space for engineers to thrive. - You have experience partnering with internal recruiting teams to drive effective and fair hiring processes. You realize that recruiting is a large and important part of your role, and have a track record of recruiting, hiring, and mentoring top engineering talent. - You’re a strong product thinker who connects customer needs, technical possibilities, and business outcomes. You collaborate well with product managers and are comfortable driving product decisions yourself, using customer insight and evidence to make tradeoffs and build alignment. Experience with onboarding and growth, billing systems, or customer-facing AI products is especially relevant. You do not need prior experience in all three areas. Benefits and Perks (US Only) 💖 At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.   - 401k matching - Competitive Equity - Healthcare, dental and vision coverage - FSA, ST/LT Disability, Voluntary Life - Carrot fertility benefits - 20 days paid vacation + 10 holidays + unlimited sick leave - 12 weeks fully paid parental leave - Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active - Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being - Commuter benefits for hybrid employees in SF/NYC - Unlimited token usage! Please inquire directly with our recruiting team for benefits available to those working outside the US.   Equal Opportunity Employer WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: San Francisco, CA | New York City, NY | Seattle, WA 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: Large teams of agents are starting to solve problems no single agent can, from rewriting major codebases to formalizing landmark mathematics. Our team studies how these teams scale: what happens to performance, cost and coordination as the number of agents, the compute budget and the length of the task grow, and what has to change to keep getting returns from that scale. We build the platform and evaluations Anthropic uses to run and measure large agent teams, and other research teams build on them. This role lives at the boundary between research and engineering. It is a generalist role on a small team: you'll design and run large experiments, build the systems they run on, and get to the bottom of surprising results. We often need to go from a vague question to a running experiment quickly. Responsibilities: Design, run and interpret large-scale experiments on agent teams, reasoning rigorously about what the data does and doesn't show Investigate how performance and efficiency change as team size, compute and task horizon grow, and find the bottlenecks that limit them Build and scale the systems that run very large agent teams reliably, and debug the failures that only appear at scale Design evaluations for long-horizon problems, and keep their results trustworthy Build the tooling and metrics that let researchers see what a large agent team is doing and why Partner with research teams across Anthropic so they can run their own experiments on the platform, and communicate findings clearly You may be a good fit if you: Have significant software engineering, ML or research engineering experience Have owned something substantial end to end, such as a large system, an evaluation or benchmark, an agent product, or a research project Genuinely enjoy both research and engineering work Think quantitatively about complex systems, and think twice before trusting a number Can work from a vague question rather than a spec Are results-oriented, with a bias towards flexibility and impact Have clear written and verbal communication Care about the societal impacts of your work Strong candidates may also have: Experience building or operating large-scale distributed systems, such as schedulers, sandboxed code execution, or inference and RL infrastructure Built evaluations, benchmarks or harnesses for LLMs or agents Experience building complex agentic systems that use LLMs Experience with scaling laws or other large-scale empirical research A background in operations research, statistics, economics, physics, quantitative finance, or another field that models and optimizes complex systems Strong candidates need not have: Formal certifications or education credentials Academic research experience or publication history Prior experience with multi-agent systems or reinforcement learning Representative projects: Measure how performance scales with the number of agents on a hard problem, and explain where the curve bends and why Prepare our largest-ever agent run: find what breaks as team size and task length grow together, and fix it before launch Work out how to allocate a fixed compute budget across a team of agents to solve a problem fastest Build tooling that turns the activity of a large agent team into something a researcher can read in minutes Design a novel eval that distinguishes real gains in teamwork from artifacts of the evaluation setup 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: $500,000 — $850,000 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. 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: Remote; Japan (Remote); Slovakia (Remote); Spain (Remote); Czechia (Remote); Switzerland (Remote); Estonia (Remote); Singapore (Remote); Mexico (Remote); Portugal (Remote); USA (Remote); Israel (Remote); Kyrgyzstan (Remote); Bulgaria (Remote); Austria (Remote); Iceland (Remote); Hungary (Remote); Ireland (Remote); Canada (Remote); South Africa (Remote); Brazil (Remote); Mauritius (Remote); UK (Remote); Romania (Remote); Cyprus (Remote); Malta (Remote); Latvia (Remote); Argentina (Remote); Bosnia and Herzegovina (Remote); Poland (Remote); Uruguay (Remote) Workplace: Remote WHO WE ARE Hi, we're DuckDuckGo, the online protection company and remote-first team of 400+ on a mission to raise the standard of trust online. Founded in 2008 and profitable since 2014, our annual revenue is in the hundreds of millions USD and millions use our browser on Mac https://spreadprivacy.com/introducing-duckduckgo-for-mac/, Windows https://spreadprivacy.com/windows-browser-open-beta/, iOS https://spreadprivacy.com/duckduckgo-privacy-browser-ios14/, and Android https://spreadprivacy.com/introducing-app-tracking-protection/, our search engine https://duckduckgo.com/, and the DuckDuckGo subscription https://duckduckgo.com/pro. We also offer private, useful, and optional AI, including Duck.ai https://duck.ai/, which lets you chat privately with ChatGPT, Claude, and other AIs, all in one place.   Our culture https://duckduckgo.com/how-we-work of trust, inclusivity, and empowered project management underpins everything we do, where each team member takes full ownership of their projects, from scoping and execution to postmortem. If you're seeking end-to-end ownership of your work, you've come to the right place! YOUR TEAM AND ROLE Working on the Web Dependability Engineering team, you'll make sure websites just work in DuckDuckGo's browsers across Mac, Windows, iOS, and Android, helping ensure our users have the best-possible experience browsing with DuckDuckGo. Recent projects include: - Reverse-engineering how sites detect our privacy protections and building countermeasures that keep pages working - Shimming browser APIs so sites work seamlessly across different browser engines and system webviews - Building LLM agent pipelines that automatically reproduce and triage reported site breakage   As a Senior Web Compatibility Engineer, you'll be our resident expert on why websites break and how to fix them: owning the webcompat side of our triage process, debugging gnarly issues in code you don't control, distinguishing site bugs from browser bugs from privacy protection-induced breakage, leading the charge when a top site breaks and becomes an incident, shipping durable fixes across every platform, and work on related projects that prevent user churn and keep users coming back to DuckDuckGo. ABOUT YOU - 7+ years of experience building and debugging complex web applications with vanilla JavaScript. - Detailed knowledge of web standards, web components, and browser APIs. Any additional experience with our stack is a bonus: Swift/Kotlin/C#/C++/Python. - Advanced ability to reverse-engineer obfuscated third-party code and reduce issues to minimal test cases. - Passion for hunting elusive bugs and tracing them to their root cause. - Interest in automating repetitive work and building agentic tooling that multiplies the team's impact. - Experience triaging issues, leading incident response, and communicating clearly with technical and non-technical stakeholders. - Experience shipping code beyond the web, like native or desktop clients. - Ability to lead complex, ambiguous projects with little to no oversight. COMPENSATION This role is paid on a regional pay scale, in local currency, and stock options: - United States: $190,500 USD annually - United Kingdom: £134,600 GBP annually - Canada: C$253,500 CAD annually - Europe/Rest of World: €157,350 EUR annually In Spain, pay is expected to transition to the EUR scale on January 1, 2027, and in other Europe/Rest of World countries on February 1, 2027.   Compensation is transparent across the organization, and all team members within the same professional level and global region receive the same compensation.   Eligibility for company-sponsored health benefits is limited to team members based in the United States. This program does not extend to team members located in other countries, such as Canada or the UK.   Our Team Member Support Guide https://duckduckgo.com/assets/hiring/team_support_guide.pdf explains how we prioritize your wellbeing including paid parental leave, office setup, and co-working allowances. HIRING PROCESS Hiring works best when it's a two-way street. Learn how we help you get to know DuckDuckGo, envision your future role here, and find out more about how we hire https://duckduckgo.com/how-we-hire. DIVERSITY, EQUITY AND INCLUSION DuckDuckGo provides equal work opportunities to all team members and applicants, and it prohibits discrimination and harassment of any type on the basis of race, color, ethnicity, caste, religion, age, sex (including pregnancy), national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by our policies or federal, state, or local laws. We want to ensure that our hiring process is accessible. If you need reasonable accommodation for any part of the application process because of a medical condition or disability, please send an email to careers@duckduckgo.com to let us know the nature of your request. PLEASE NOTE THAT: - You’ll be required to attend meetings on camera via video conferencing - Expect to travel at least two times a year: once for our all-hands meetup and again for a team retreat (each around 4-5 days). While extenuating circumstances may impact attendance, everyone is strongly encouraged to attend. - While we offer a flexible work arrangement with no core hours, expect an average full-time commitment of 40 hours per week. - A successful candidate must pass a background check as a condition of joining the team. - By applying for this role, you confirm that all information submitted is accurate and complete. You further acknowledge that providing false or fraudulent information during the application process is cause for denial of an offer, revocation of any existing offer, or other adverse action, up to and including termination after the start of your commencement of work. DISCLOSURE STATEMENT: USE OF AI IN HIRING PROCESS As part of our commitment to enhancing our recruitment process, we utilize artificial intelligence (AI) technology to assist in reviewing and summarizing job applications and test projects, including those tools integrated into our recruitment vendor platforms. We use AI to flag potentially fraudulent applications, analyze and summarize applicants’ experience, interviews, and project performance, and help streamline our selection process. Key Principles: - Data Privacy: All information provided in your application will be handled in accordance with our Recruiting Privacy Policy https://duckduckgo.com/static-assets/files/pages/careers/DuckDuckGo-Recruiting-Privacy-Policy-effective-September-30-2025.pdf. We ensure that your personal information is protected and used solely for recruitment purposes. - Human Oversight and Accountability: The AI technology is designed to support our hiring team by providing insights and summaries of applications and evaluations of test projects against scoring rubrics. All final evaluations and hiring decisions, however, will be made by our hiring team, who will consider the AI's input alongside other factors. - Transparency: We believe in transparency regarding our hiring practices. If you have any questions about how AI is used in our recruitment process, please feel free to reach out to us. By submitting your application, you acknowledge and consent to the use of AI technology in our review process. If you would like to request an alternative selection process, please contact us as at careers@duckduckgo.com. Thank you for your interest in joining DuckDuckGo! #LI-DNI