Location: Toronto; Calgary; Boston; Canada; Seattle; New York; Vancouver; California; Ottawa; Montreal
Workplace: Remote
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
WHY THIS ROLE
Enterprises hand Cohere their most sensitive data and put our models inside workflows they can't afford to get wrong. Securing that means working on problems the industry hasn't settled yet, what authorization means when an agent acts on a user's behalf, how to contain tools that consume untrusted input, and whether tenant boundaries hold when a model can be steered by the data it reads. The established playbooks only take you so far.
We're hiring a Senior Product Security Engineer to work these problems alongside the engineers building the products, reviewing architecture and code, threat modeling before implementation, testing what ships, and turning what you learn into defaults other teams inherit. This is a hands-on engineering role, not an advisory one.
WHAT YOU’LL DO
- Lead security reviews. Review architecture, code, and security-sensitive changes. Identify both individual vulnerabilities and the recurring design patterns behind them.
- Secure AI-powered products. Evaluate risks such as prompt injection, unsafe tool use, identity and delegation failures, excessive agency, data exposure, tenant isolation, and sandbox escapes.
- Threat model new capabilities. Identify trust boundaries, abuse cases, and high-impact failure modes before implementation. Translate findings into practical, prioritized mitigations.
- Perform hands-on testing. Investigate suspected vulnerabilities, develop proofs of concept, assess exploitability and impact, and partner with engineers through remediation.
- Build scalable guardrails. Develop secure defaults, approved patterns, reusable controls, review requirements, and automated checks that reduce recurring risks.
- Strengthen engineering capability. Pair with engineers, document practical guidance, and help product teams develop durable security expertise.
- Influence risk decisions. Explain technical findings, business impact, and remediation options clearly to engineers, product leaders, and executives.
YOU MAY BE A GOOD FIT IF
- You have strong software engineering fundamentals and can independently understand, test, and contribute fixes to production codebases.
- You are proficient in at least one of Python, Go, or TypeScript.
- You have led security reviews or threat models for complex production systems and can point to meaningful design or risk improvements that resulted.
- You understand common vulnerability classes and their underlying design failures, including injection, authorization flaws, IDOR, SSRF, unsafe deserialization, race conditions, cryptographic misuse, and software supply-chain risks.
- You understand modern application architecture, including web applications, APIs, OAuth/OIDC, cloud platforms, containers, Kubernetes, and CI/CD systems.
- You can reason rigorously about untrusted input, authorization, isolation, identity, delegation, and data boundaries. Direct experience with agentic AI systems is valuable but not required.
- You have driven security improvements involving multiple engineering teams, including situations where influence mattered more than authority.
- You communicate clearly with both technical and non-technical audiences.
NICE TO HAVE
- Experience building or operating security tooling such as SAST, DAST, SCA, custom linters, or policy-as-code.
- Experience securing multi-tenant SaaS, enterprise software, or systems that process sensitive customer data.
- Offensive security experience through penetration testing, red teaming or security research.
- Experience operating or participating in a vulnerability disclosure or bug bounty program.
- Contributions to open-source security projects, published research, conference talks, or credited vulnerability discoveries.
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
УдалённоToronto; Calgary; Boston; Canada; Seattle; New York; Vancouver; California; Ottawa; Montreal; We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities
Ключевая миссия CTO: построить инженерную организацию нового поколения. Ожидается построение AI Native Engineering Organization, внедрение AI PDLC как основного процесса разработки, организация работы автономных Tiny Teams, создание культуры постоянных экспериментов и быстрого вывода гипотез в продукт, широкое использование AI для автоматизации инженерной деятельности, сокращение времени полного цикла Idea → Prototype → MVP → Production, формирование инженерной культуры с акцентом на скорость обучения и внедрения инноваций.
Задачи:
— Определять и реализовывать технологическую стратегию направления совместно с Product Lead и бизнесом;
— Отвечать за разработку и развитие ключевых продуктов направления: мобильного приложения нового поколения, AI-помощника, платформы персонализированного риск-профиля и интеллектуальных сервисов повышения качества и продолжительности жизни;
— Формировать AI Native инженерную организацию для высокой скорости вывода новых продуктов и функций;
— Внедрять современные практики AI PDLC на всех этапах жизненного цикла AI-продуктов;
— Организовывать эффективный процесс исследований (R&D), быстрого прототипирования и проверки продуктовых гипотез;
— Руководить несколькими автономными инженерными командами (Tiny Teams), обеспечивая их эффективность и ответственность;
— Развивать практики агентной разработки (Agentic AI), AI Coding и использование AI-инструментов для автоматизации инженерной деятельности;
— Формировать масштабируемую архитектуру AI-first продуктов для быстрого внедрения новых моделей, сервисов и сценариев;
— Управлять архитектурой решений, техническим долгом и технологическими рисками;
— Обеспечивать надежность, масштабируемость, наблюдаемость и безопасность сервисов промышленного уровня;
— Развивать инженерную культуру, основанную на автоматизации, непрерывном обучении, экспериментах и улучшении процессов;
— Формировать технологический roadmap направления и обеспечивать достижение бизнес- и продуктовых целей.
Требования:
— Опыт руководства несколькими инженерными командами разработки от 2 лет;
— Опыт создания и развития современных цифровых продуктов с высокой скоростью поставки изменений;
— Опыт формирования и реализации технологической стратегии продукта;
— Практический опыт построения архитектуры мобильных и backend-продуктов промышленного уровня;
— Опыт управления архитектурой, качеством разработки и техническим долгом;
— Практический опыт внедрения AI PDLC или аналогичных процессов разработки AI-продуктов;
— Глубокое понимание жизненного цикла AI-продуктов: Data → Prompt → Model → Evaluation → Production → Monitoring → Continuous Improvement;
— Понимание современных подходов к разработке LLM-приложений, Agentic AI, Multi-Agent Systems, Tool Calling, MCP, Workflow Orchestration и Retrieval-Augmented Generation (RAG);
— Практический опыт применения современных AI-инструментов разработки (Cursor, Claude Code, GitHub Copilot и др.);
— Опыт построения процессов R&D, быстрого прототипирования и проверки продуктовых гипотез;
— Опыт организации работы автономных инженерных команд (Tiny Teams);
— Опыт разработки мобильных приложений и высоконагруженных backend-сервисов;
— Понимание принципов построения персонализированных цифровых сервисов и работы с пользовательскими данными;
— Понимание современных практик DevSecOps, CI/CD, Observability и Platform Engineering;
— Опыт эффективного взаимодействия с продуктовой командой и бизнесом.
Будет преимуществом:
— Опыт создания AI-first продуктов на базе современных LLM;
— Опыт построения агентных платформ или мультиагентных систем;
— Опыт внедрения AI Native Engineering в инженерной организации;
— Опыт организации процессов AI Quality Engineering, Continuous Evaluation и AI Observability;
— Опыт создания персонализированных рекомендательных систем;
— Опыт разработки AI Copilot, AI Assistant или AI Agent продуктов;
— Опыт работы в MedTech, HealthTech, Digital Health или Wellness;
— Опыт создания мобильных consumer-продуктов с высокой ежедневной активностью пользователей (DAU/MAU);
— Понимание современных подходов Product Discovery, Experiment Driven Development и Lean Startup.
Условия:
— Формат: Гибридный (от 2-х дней в неделю, м. Технопарк);
— Бесплатный доступ к телемедицине и очным приемам в частных клиниках (включая стоматологию и сессии с психологами);
— Условия ипотечного кредитования от Сбербанка;
— Индивидуальный план развития;
— Обучение: английский с корпоративным преподавателем, скидки на курсы в Skyeng, компенсация обучения от ведущих платформ;
— Официальное оформление, стабильные выплаты, оплата больничного и отпуска, современная техника;
— Частичная компенсация спортивного абонемента, бесплатные занятия сквошем и футболом.
Ключевая миссия CTO:
- Построение AI Native Engineering Organization;
- Внедрение AI PDLC как основного процесса разработки;
- Организация работы автономных Tiny Teams;
- Создание культуры постоянных экспериментов и быстрого вывода гипотез в продукт;
- Широкое использование AI для автоматизации инженерной деятельности;
- Сокращение времени прохождения полного цикла Idea → Prototype → MVP → Production;
- Формирование инженерной культуры, где скорость обучения и внедрения инноваций становится ключевым конкурентным преимуществом.
Задачи:
- Определять и реализовывать технологическую стратегию направления совместно с Product Lead и бизнесом;
- Отвечать за разработку и развитие ключевых продуктов направления: мобильного приложения нового поколения, AI-помощника, платформы персонализированного риск-профиля и интеллектуальных сервисов повышения качества и продолжительности жизни;
- Формировать AI Native инженерную организацию, обеспечивающую высокую скорость вывода новых продуктов и функций;
- Внедрять современные практики AI PDLC на всех этапах жизненного цикла AI-продуктов — от идеи и исследований до промышленной эксплуатации;
- Организовывать эффективный процесс исследований (R&D), быстрого прототипирования и проверки продуктовых гипотез;
- Руководить несколькими автономными инженерными командами (Tiny Teams), обеспечивая их высокую эффективность и ответственность за конечный результат;
- Развивать практики агентной разработки (Agentic AI), AI Coding и использования AI-инструментов для автоматизации инженерной деятельности;
- Формировать масштабируемую архитектуру AI-first продуктов, обеспечивающую быстрое внедрение новых моделей, сервисов и пользовательских сценариев;
- Управлять архитектурой решений, техническим долгом и технологическими рисками;
- Обеспечивать надежность, масштабируемость, наблюдаемость и безопасность сервисов промышленного уровня;
- Развивать инженерную культуру, основанную на автоматизации, непрерывном обучении, экспериментах и постоянном улучшении процессов;
- Формировать технологический roadmap направления и обеспечивать достижение бизнес- и продуктовых целей.
Требования:
- Опыт руководства несколькими инженерными командами разработки от 2 лет;
- Опыт создания и развития современных цифровых продуктов с высокой скоростью поставки изменений;
- Опыт формирования и реализации технологической стратегии продукта;
- Практический опыт построения архитектуры мобильных и backend-продуктов промышленного уровня;
- Опыт управления архитектурой, качеством разработки и техническим долгом;
- Практический опыт внедрения AI PDLC или аналогичных процессов разработки AI-продуктов;
- Глубокое понимание жизненного цикла AI-продуктов: Data → Prompt → Model → Evaluation → Production → Monitoring → Continuous Improvement;
- Понимание современных подходов к разработке LLM-приложений, Agentic AI, Multi-Agent Systems, Tool Calling, MCP, Workflow Orchestration и Retrieval-Augmented Generation (RAG);
- Практический опыт применения современных AI-инструментов разработки (Cursor, Claude Code, GitHub Copilot и др.);
- Опыт построения процессов R&D, быстрого прототипирования и проверки продуктовых гипотез;
- Опыт организации работы автономных инженерных команд (Tiny Teams);
- Опыт разработки мобильных приложений и высоконагруженных backend-сервисов;
- Понимание принципов построения персонализированных цифровых сервисов и работы с пользовательскими данными;
- Понимание современных практик DevSecOps, CI/CD, Observability и Platform Engineering;
- Опыт эффективного взаимодействия с продуктовой командой и бизнесом.
Преимущества:
- Опыт создания AI-first продуктов на базе современных LLM;
- Опыт построения агентных платформ или мультиагентных систем;
- Опыт внедрения AI Native Engineering в инженерной организации;
- Опыт организации процессов AI Quality Engineering, Continuous Evaluation и AI Observability;
- Опыт создания персонализированных рекомендательных систем;
- Опыт разработки AI Copilot, AI Assistant или AI Agent продуктов;
- Опыт работы в MedTech, HealthTech, Digital Health или Wellness;
- Опыт создания мобильных consumer-продуктов с высокой ежедневной активностью пользователей (DAU/MAU);
- Понимание современных подходов Product Discovery, Experiment Driven Development и Lean Startup.
Условия:
- Формат: гибридный (от 2-х дней в неделю, м. Технопарк);
- Бесплатный доступ к телемедицине и очным приемам в частных клиниках (включая стоматологию и сессии с психологами);
- Условия ипотечного кредитования от Сбербанка;
- Индивидуальный план развития;
- Обучение английскому языку с корпоративным преподавателем, скидки на курсы в Skyeng, компенсация обучения от ведущих платформ;
- Официальное оформление, стабильные выплаты, оплата больничного и отпуска, современная техника;
- Частичная компенсация спортивного абонемента, бесплатные занятия сквошем и футболом.
Location: Remote - United States
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit
www.redditinc.com
.
Team Description
The Brand Ad Formats team drives the development of ad formats that help advertisers maximize reach and brand impact. They focus on high-visibility, awareness-driven solutions that create memorable experiences for Reddit users. By delivering guaranteed placements and engaging ad interactions, they support major brand initiatives and help advertisers achieve measurable outcomes. The team is building fully customizable interactive formats and AI-driven ads that incorporate User-Generated Content (UGC). Moving forward, we will be doubling down on Video Ads, with the goal of turning Reddit into an industry leader and a ‘must buy’ for advertisers to promote video content.
Role Description
The Brand Ad Formats team is seeking a skilled Frontend engineer with a product-focused mindset to join the team.
Responsibilities:
Build Ad experiences and create patterns for Reddit’s web app that enhance our ads’ performance and functionality.
Collaborate across product, design, and engineering teams to innovate and implement sophisticated solutions for complex challenges.
Engage in the full development cycle: design, develop, QA, experiment, analyze, and deploy.
Required Qualifications:
3+ years of experience in Web Engineering
Proficient in Typescript and Javascript
A willingness to tackle the challenges of creating data-intensive, highly responsive, and fault-tolerant apps
Experience with automated testing best practices, code quality / design patterns, observability, etc.
Skilled at performing insightful code reviews, and receiving feedback themself
Experience leveraging GenAI tools to increase software engineering productivity
Excellent communication skills: able to collaborate with teams in a fully remote environment, and discuss complex topics with technical and non-technical audiences
Preferred Qualifications:
Experience working on ad tech
Experience working on consumer facing sites (high production value at scale)
Technologies used on the team include:
Languages: Typescript, HTML, CSS, Go
Frameworks: React, Thrift, gRPC
Tools: Kubernetes, Docker, Codex, Cursor
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit
https://www.redditinc.com/careers/
.
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base salary range for this position is:
$164,200
—
$229,900 USD
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our
Candidate Privacy Policy for Potential Employees and Contractors
.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Location: Poland; Georgia; Serbia; Bulgaria; Armenia
We build cloud CPaaS/CCaaS infrastructure - the routing, messaging and real-time layer that contact centres run on. High traffic, event-driven services, and a UI that has to stay correct while thousands of live conversations move through it.
We're hiring a senior engineer for a team where AI agents are part of the normal development loop, not a pilot. You'll own features end-to-end across a Go backend and a React/TypeScript frontend, and you'll be accountable for everything you ship — including the parts an agent wrote.
This is not a prompt-engineering role. It's a senior engineering role where AI-assisted delivery is the default working method.
Requirements
What will you do at MMDSmart?
Own features end-to-end across Go backend and React/TypeScript frontend;
Design and develop solutions for high-load and distributed production systems;
Use AI coding agents as an integral part of your everyday development workflow;
Guide AI agents, review and verify their output, and take ownership of the final result;
Build and evolve backend services, APIs, frontend functionality, and external integrations;
Investigate complex production issues and drive them to resolution;
Contribute to architecture decisions, technical discussions, and system improvements;
Help improve our codebase and development practices to make AI-assisted engineering more effective.
You are a perfect match if you have:
5+ years of professional software engineering experience and strong Senior-level engineering fundamentals;
Strong hands-on production experience with Go - 4 years of experience;
Practical experience with React and/or TypeScript; you don’t need to be a frontend expert, but you should be comfortable working with frontend code;
Hands-on experience with high-load and distributed production systems;
Experience designing, building, and debugging production services and APIs;
Hands-on experience with AI coding tools such as Claude Code, Cursor, Windsurf, Copilot, or similar - beyond simple autocomplete;
Ability to use AI to work effectively across different parts of the stack while critically reviewing and verifying its output;
Strong engineering judgement, ownership, and ability to make technical decisions independently.
Our Tech Stack:
Backend: Go, microservices, REST APIs, GraphQL
Frontend: React, TypeScript, Zustand / Redux Toolkit, WebSocket / SSE
Event-driven: Kafka, NATS / JetStream, RabbitMQ, event-driven architecture
Data: PostgreSQL, Redis, MongoDB
Infrastructure: GCP, Kubernetes, Docker, CI/CD, Infrastructure as Code
Observability & Performance: structured logging, metrics, tracing, profiling, high-load and concurrency tooling
AI Development: Claude Code, Cursor, Windsurf, Copilot and other agentic development tools
Domain: CPaaS / CCaaS, messaging, voice, real-time communication, external provider integrations
Will be a plus:
CCaaS / CPaaS / telecom background: contact-centre routing, ACD, omnichannel messaging.
Voice stack: WebRTC, SIP, media servers, or CPaaS APIs
API gateway and microservices integration; GraphQL federation.
Kubernetes, Docker, CI/CD ownership, infrastructure-as-code.
Polyglot persistence: Redis for caching and ephemeral state, PostgreSQL where a document model is the wrong fit; plus the judgement to tell the difference. MongoDB Atlas or self-managed cluster operations.
Internal tooling, evals or automation built on LLM APIs.
Open-source contributions, especially in Go.
What you get:
An AI-first engineering environment where AI is part of real production development;
The opportunity to use AI to work across the full stack and expand beyond your primary expertise;
Work on high-load communication products with real business impact;
A team where Senior Engineers influence technical decisions and architecture;
Remote work.
Benefits
Why do talents choose and stay at MMDSmart?
Embrace the opportunity to work in a company that cares about:
Your Wellness:
Access to mental health programs, comprehensive medical insurance, and a sports card*.
Your Happiness:
Enjoy the company of cool teammates, a friendly atmosphere, a strong mentorship, and a variety of bonuses & corporate gifts.
Your Development:
Benefit from free educational events & courses, and English classes with native speakers.
Your Career:
Focus on your professional development in a supportive environment.
Work-Life Balance:
Choose your working format - remote, office-based, or hybrid and engage in team-building activities.
Think this role's got your name on it? Go ahead and apply, we'd love to see what you've got!
Equal-Opportunity Employment
We are an equal opportunity employer committed to creating a diverse and inclusive work environment. 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.
*Medical Insurance and Sport Card perks are available for employees located in Bulgaria.
Location: San Francisco, CA; New York, NY
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 Team
The Infrastructure team builds and maintains the systems that power LangChain’s developer platform, including LangGraph Cloud and LangSmith. The team focuses on reliability, scalability, and developer productivity across the stack, working closely with backend, frontend, and platform engineers to ensure services are deployed, tested, and operated with confidence.
About the Role
We’re hiring a Software Engineer to join the Infrastructure team and own developer productivity across our LangGraph Cloud/Platform and LangSmith products. You’ll work closely with Infrastructure, Backend, and Frontend teams to ship with confidence across Kubernetes-based services, APIs, and UI flows. You’ll also help pioneer quality practices specific to LLM applications, such as prompt regression testing and evaluation suites.
Location: In person 5 days/week in San Francisco, CA or New York, NY
What You'll Do
- Own test strategy end-to-end across APIs, services, UI, data, and infrastructure (Kubernetes, Terraform, Helm)
- Stand up ephemeral test environments in Kubernetes for pull requests and release candidates; seed test data and run hermetic test suites
- Shift quality earlier in CI/CD pipelines (GitHub Actions) through parallelization, caching, deterministic seeds, flake tracking, and quality gates
- Build observability into testing workflows with rich failure artifacts such as logs, traces, and dashboards
- Establish performance and reliability baselines for critical paths, including SLIs, SLOs, and regression detection
- Partner on incident workflows by reproducing issues, adding targeted regression tests, and improving runbooks and postmortems
- Write documentation including test plans, playbooks, and contributor guidelines for writing high-quality tests
Example projects you might own
- A pull-request ephemeral end-to-end testing harness that deploys a minimal LangSmith stack in CI and runs Playwright and API suites against seeded tenants
- A k6 performance scenario that simulates multi-tenant traffic and surfaces p95/p99 latency regressions per release
- A flake-budget system that automatically quarantines flaky tests, opens issues with artifacts, and tracks time-to-deflake
What You'll Bring
- 3+ years of experience as a software engineer or infrastructure engineer
- Strong hands-on experience with Python and testing frameworks such as pytest
- Experience working with CI/CD systems (GitHub Actions preferred) and improving pipeline performance and reliability
- Solid understanding of API testing, mocking/stubbing, and data setup/teardown
- Comfort defining quality standards, writing test plans, and driving cross-team execution
Nice to Have
- Experience with load and performance testing tools such as k6
- Familiarity with observability tooling such as Datadog or OpenTelemetry
- Experience testing services running on Kubernetes and containerized environments
- Basic infrastructure experience with Helm, Terraform, Kubernetes networking, or secrets management
- SQL fluency for validating data (Postgres, ClickHouse, BigQuery)
- Familiarity with Go, Node, or React for targeted white-box tests and improving system testability
Compensation
- Annual salary range: $165,000- $250,000 USD
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: San Francisco; New York City
Perplexity Computer is one of the defining products of the new era of agentic AI. Millions of people use Perplexity to transform knowledge into action, and the Agent Capabilities team sits at the intersection of frontier AI research and product innovation, building the foundations that shape how users and agents solve increasingly complex tasks.
As every major breakthrough in AI models creates new possibilities, the Agent Capabilities team is responsible for turning frontier AI breakthroughs into reusable product capabilities. We are often the first to evaluate emerging model capabilities, determine where they create real user value, and transform them into reliable, scalable, high quality experiences for both users and agents. This is a highly leveraged role with broad ownership at the intersection of frontier AI research, agent systems, platform engineering, and product innovation.
Tech Stack: Python | Go | Rust | PostgreSQL | DynamoDB | AWS | TypeScript
WHY PERPLEXITY IS DIFFERENT
- Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious.
- Ownership. You identify the problem, design the solution and ship it.
- Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users.
- Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products.
- Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence.
WHAT YOU'LL DO
- Evaluate frontier models against real user tasks, identify useful behaviors and failure modes, and turn the most promising advances into production agent systems. Own the lifecycle from rapid prototyping and evaluation through launch, monitoring, and iteration.
- Improve agents’ ability to plan, use tools, manage context, recover from errors, and complete long-running tasks reliably.
- Apply state of the art ML and LLM techniques to design scalable agent capabilities such as skills, plugins, artifact generation, tools integrate and use, auto-research, and multi-agent collaboration. Shape the architecture, abstractions, and product experiences that enable both users and agents to compose increasingly sophisticated solutions for real-world tasks.
- Own agent behavior and capabilities end-to-end, from user-facing products and interfaces to backend services. Define offline and online evaluations for task completion, correctness, safety, latency, cost, and user satisfaction. Iteratively improve across models, prompts, harnesses, and products for different problem spaces.
- Build secure, observable, and reliable agent systems, including permissions and safeguards for sensitive actions. Develop tracing, replay, and monitoring infrastructure that makes agent failures reproducible and actionable.
- Collaborate closely with PM, Data Science, Research, to identify high-impact opportunities in understanding and validating emerging model capabilities, and turn complex agent behaviors into simple, reliable product experiences.
- Apply relevant advances in models, inference, evaluation, and agent architecture when they produce measurable improvements in production performance. Set technical direction on ambiguous problems and raise the bar through design reviews, mentorship, and technical leadership.
QUALIFICATIONS
- Typically 6+ years of professional software engineering experience, with a track record of building and owning robust AI-powered, large-scale, user-facing or data-intensive products. Exceptional candidates with less experience and an outstanding record of impact are encouraged to apply.
- Strong software engineering fundamentals, with experience building and operating AI/ML products, backend services, or distributed systems at scale.
- Experience owning the AI product lifecycle, including data analysis, rigorous evaluation, production monitoring, and iterative improvement. Able to define metrics and use production data and user feedback to guide decisions.
- Practical experience in one or more relevant areas, such as agent harnesses, tool use, context engineering, model evaluation, browser automation, or long-running task execution.
- Strong product judgment and execution: you can translate ambiguous user needs into applied AI or ML problems and ship durable solutions with measurable user impact.
- Genuine interest in frontier AI capabilities, agent systems, and excitement for rapidly exploring, evaluating, and productizing new model behaviors.
NICE TO HAVE
- Experience with LLM context engineering or harness engineering, experience with subagents, coding assistants, long-running or autonomous task execution.
- Deep familiarity with the strengths and limitations of current model families across reasoning, tool use, context management, and long-horizon tasks.
- Experience building agent permissions, safeguards, evaluation infrastructure, or production observability systems.
- Experience with mid-training, post-training, or reinforcement learning for frontier or open-source models, along with a strong understanding of model strengths and limitations across reasoning, tool use, context management, and long-horizon tasks.
- AI/ML research experience demonstrated through publications, open-source contributions, or other meaningful research impact.
- Time spent at a fast-growing startup or on a high-ownership engineering team.
Location: San Francisco; New York City
Perplexity Computer is one of the defining products of the new era of agentic AI. Millions of people use Perplexity to transform knowledge into action, and the Agent Capabilities team sits at the intersection of frontier AI research and product innovation, building the foundations that shape how users and agents solve increasingly complex tasks.
As every major breakthrough in AI models creates new possibilities, the Agent Capabilities team is responsible for turning frontier AI breakthroughs into reusable product capabilities. We are often the first to evaluate emerging model capabilities, determine where they create real user value, and transform them into reliable, scalable, high quality experiences for both users and agents. This is a highly leveraged role with broad ownership at the intersection of frontier AI research, agent systems, platform engineering, and product innovation.
Tech Stack: Python | Go | Rust | PostgreSQL | DynamoDB | AWS | TypeScript
WHY PERPLEXITY IS DIFFERENT
- Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious.
- Ownership. You identify the problem, design the solution and ship it.
- Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users.
- Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products.
- Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence.
WHAT YOU'LL DO
- Evaluate frontier models against real user tasks, identify useful behaviors and failure modes, and turn the most promising advances into production agent systems. Own the lifecycle from rapid prototyping and evaluation through launch, monitoring, and iteration.
- Improve agents’ ability to plan, use tools, manage context, recover from errors, and complete long-running tasks reliably.
- Apply state of the art ML and LLM techniques to design scalable agent capabilities such as skills, plugins, artifact generation, tools integrate and use, auto-research, and multi-agent collaboration. Shape the architecture, abstractions, and product experiences that enable both users and agents to compose increasingly sophisticated solutions for real-world tasks.
- Own agent behavior and capabilities end-to-end, from user-facing products and interfaces to backend services. Define offline and online evaluations for task completion, correctness, safety, latency, cost, and user satisfaction. Iteratively improve across models, prompts, harnesses, and products for different problem spaces.
- Build secure, observable, and reliable agent systems, including permissions and safeguards for sensitive actions. Develop tracing, replay, and monitoring infrastructure that makes agent failures reproducible and actionable.
- Collaborate closely with PM, Data Science, Research, to identify high-impact opportunities in understanding and validating emerging model capabilities, and turn complex agent behaviors into simple, reliable product experiences.
- Apply relevant advances in models, inference, evaluation, and agent architecture when they produce measurable improvements in production performance. Set technical direction on ambiguous problems and raise the bar through design reviews, mentorship, and technical leadership.
QUALIFICATIONS
- Typically 6+ years of professional software engineering experience, with a track record of building and owning robust AI-powered, large-scale, user-facing or data-intensive products. Exceptional candidates with less experience and an outstanding record of impact are encouraged to apply.
- Strong software engineering fundamentals, with experience building and operating AI/ML products, backend services, or distributed systems at scale.
- Experience owning the AI product lifecycle, including data analysis, rigorous evaluation, production monitoring, and iterative improvement. Able to define metrics and use production data and user feedback to guide decisions.
- Practical experience in one or more relevant areas, such as agent harnesses, tool use, context engineering, model evaluation, browser automation, or long-running task execution.
- Strong product judgment and execution: you can translate ambiguous user needs into applied AI or ML problems and ship durable solutions with measurable user impact.
- Genuine interest in frontier AI capabilities, agent systems, and excitement for rapidly exploring, evaluating, and productizing new model behaviors.
NICE TO HAVE
- Experience with LLM context engineering or harness engineering, experience with subagents, coding assistants, long-running or autonomous task execution.
- Deep familiarity with the strengths and limitations of current model families across reasoning, tool use, context management, and long-horizon tasks.
- Experience building agent permissions, safeguards, evaluation infrastructure, or production observability systems.
- Experience with mid-training, post-training, or reinforcement learning for frontier or open-source models, along with a strong understanding of model strengths and limitations across reasoning, tool use, context management, and long-horizon tasks.
- AI/ML research experience demonstrated through publications, open-source contributions, or other meaningful research impact.
- Time spent at a fast-growing startup or on a high-ownership engineering team.
Location: Remote
Who we are
Our mission is to bring clarity and control to the world's most complex codebases. AI is accelerating code creation, but the infrastructure to understand, oversee, and evolve that code hasn't kept pace. Sourcegraph gives engineering organizations full visibility across their systems, precise context for their agents, and the ability to execute coordinated code changes at scale. As agentic development becomes the dominant engineering paradigm, we provide the context layer teams need to take control of their codebase.
With Code Search, Deep Search, MCP, and Agentic Batch Changes, we deliver on that mission today - giving engineering teams and their AI tools the cross-repo context to navigate massive codebases with confidence, and the ability to make changes across hundreds of repositories at once.
Companies like Stripe, Reddit, and Leidos rely on Sourcegraph to ship faster and with higher quality. We're backed by a16z, Sequoia, and Redpoint, and proud to operate as a globally distributed team that values high agency, direct communication, and customer love.
If you want to build the infrastructure that lets every engineering team - and every agent they deploy - operate on their codebase with confidence, join us.
Hours & location
🌎 While we hire
almost anywhere
in the world, we have a preference for someone to reside in the following locations for this role. However, if you feel qualified, we welcome you to apply regardless of location. No matter what, working hours must overlap with EST for at least 20 hours/week.
Preferred locations:
USA
Why this job is exciting
Sourcegraph is at the forefront of building AI tools to solve the biggest problems in the software industry, problems that only get bigger as codebases grow and as more of the work is done by agents. The
Code Understanding
team owns the surfaces where that intelligence meets the developer:
Deep Search
, our agentic, multi-step answer engine across an enterprise's entire lineup of codebases,
Query Assist
, turning natural language queries into Sourcegraph query syntax,
Smart Hovers
, concisely summarizing symbols right where devs need it, guided diff review, and the APIs that both humans and AI agents rely on every day.
Most of what makes those surfaces tick is
agent engineering
: a blend of software engineering, machine learning, and statistics. Agent engineering tells us which model to use and when, how to retrieve and pack context, how to measure answer quality, where to fine-tune or distill a smaller model to cut costs and latency, and how to expand a single LLM call into a reliable multi-step agent. As the
staff ML and agent engineer on Code Understanding
, you'll be the technical owner of it: setting the tam’s direction for models, evaluations, and agentic systems, making our products measurably better, faster, and cheaper, and raising the team's fluency in building with models.
This is a
staff-level role
: we're hiring a technical leader, not just a strong individual contributor. The primary need is a production ML and evaluation authority who also builds production agent systems. You'll own the hardest, most ambiguous problems in this space, set standards others follow, and influence direction beyond your immediate team. You'll get the exhilarating chance to drive the vision on how we can provide the best code understanding experience on the market by combining our deterministic, large-scale systems and AI into experiences never seen before.
Concretely, you'll own work like:
Agentic systems.
You'll design and harden the multi-step, tool-using agent loops behind current and new agentic experiences, turning research and experiments into reliable, observable, and affordable products at enterprise scale.
Pragmatic use of evaluations.
Crafting agentic products means needing to tell when a change actually helped, which is hard when agents keep changing and the product keeps shifting. You'll bring judgment about where evaluations earn their keep, when to use targeted smoke tests and metrics, and how to avoid noise dressed up as rigor, so we can move fast with confidence.
Models: selection, upgrading, and training.
You'll decide which models we run where, drive upgrades, and fine-tune our own when that's the right call.
Retrieval and context engineering.
You'll push on how we ground models in a customer's code - retrieval, ranking, context windows, citations - to make answers more accurate and verifiable.
Cost and latency.
Every surface has a per-user economic budget. You'll treat cost and latency as product features, and profile, distill, cache, and right-size models so we can ship ambitious features sustainably.
You'll do this on a small, senior-leaning team that ships quickly, owns a lot of product surface, and has streamlined product management: engineers here talk to customers, frame the problem, and own it end-to-end. You'll have real agency over technical direction and a direct line to the impact of your work.
📅 Within one month, you will…
Get the Code Understanding products and their model/agent pipelines running end-to-end locally, and land your first improvements to a model, prompt, retrieval path, or eval.
Build a clear picture of where the AI engineering pain is, and the product surfaces most constrained by them.
Get to know the team and our customers, and start forming your own opinions about where our agentic products should go next.
Join the team's on-call support rotation.
📅 Within three months, you will…
Own a meaningful agentic slice of the product end-to-end, driving it from problem-framing through rollout and measurement.
Establish how the team ships model and prompt changes responsibly: the evals, dashboards, and guardrails that make quality and cost regressions visible before customers feel them.
Begin up-leveling teammates in building with models by pairing with them, reviewing their code, and modeling good agent engineering instincts.
📅 Within six months, you will…
Be the recognized technical authority for agent engineering and agentic systems on Code Understanding. You will be the person teammates, and increasingly the wider department, defer to on model, eval, and agent-design decisions.
Have measurably moved the products: better answer quality, lower cost/latency, or new agentic capabilities that weren't feasible before.
Be setting the direction of the team's roadmap where it intersects agents, bringing conviction, backed by evidence, about which bets are worth making, and pulling other engineers up to execute on them.
About you
You are a
staff engineer and technical leader with hard-won skills across production machine learning, evaluation, and agent systems
. This high-leverage role relies on your ability to make sound model and evaluation decisions for a fast-moving product, build the production systems around them, steer technical direction, and be a force multiplier for a talented, product-minded team. You're equally comfortable reasoning about an eval harness, a fine-tuning run, a retrieval pipeline, and the multi-step agent loop that ties them together, and you make everyone around you better at all of it.
You operate at staff scope: you own the most ambiguous, highest-risk problems in your domain, go into whatever codebase a problem requires, set standards and patterns others adopt, and translate fluidly between engineering goals and business objectives. You influence direction beyond your immediate team. You lead through technical excellence and mentorship.
You have personally owned a production model lifecycle.
You have trained or fine-tuned at least one model and taken it from dataset construction through evaluation, production rollout, and monitoring. You can explain how you chose between training or fine-tuning and prompting or retrieval, how you chose baselines and metrics, what error analysis revealed, and how production evidence affected the next version.
You build agents, fluently and opinionatedly.
You've designed multi-step agentic systems and made them reliable, observable, and cost-bounded. You have a point of view on where agents shine and where deterministic code or human judgment is required.
You have strong evaluation judgment.
You build representative datasets, meaningful baselines, useful error taxonomies, and release criteria that connect offline measurements to production behavior. You know where rigorous evaluations earn their keep, where lightweight smoke tests or qualitative review are enough, and where a precise-looking metric is misleading.
You treat cost and latency as product constraints.
You make measured quality, latency, and cost tradeoffs and use the appropriate combination of model selection, prompting, retrieval, caching, distillation, and fine-tuning rather than reaching reflexively for a more complex model.
You operate autonomously on ambiguous problems.
Given a rough product idea, a few customer quotes, and a Slack thread, you come back with a plan, a prototype, milestones, and a point of view on tradeoffs, without it being pre-scoped. You own high-technical-risk projects end-to-end.
You contribute beyond your domain.
As a senior IC, you go into whatever part of the codebase a problem requires, recognize issues beyond your immediate area, and translate between engineering goals and business objectives.
You up-level the people around you.
You mentor by pairing on hard problems, providing substantive design and code reviews, and spreading agent engineering literacy across the team. You see investing in your teammates' growth as part of the job.
You're customer and product-driven.
You're comfortable on customer calls and in feedback threads, you turn raw signals into requirements, scopes, and milestones, and you push back when feedback would lead the product astray.
You're pragmatic, not a perfectionist.
You ship the smallest correct thing, prefer robust solutions over complicated ones, and keep a high-quality bar with simplicity.
On the engineering fundamentals:
You're a strong software engineer who can ship production services.
You're comfortable across our stack - Go on the backend, TypeScript on the frontend, GraphQL, Postgres, Docker - or you're clearly able and eager to get there.
You're fluent with agentic coding tools, and you understand and own every line it submits.
You're comfortable in an async-first, multi-service, fast-paced remote environment.
Nice-to-haves:
You've shipped an LLM-powered or agentic developer-facing product you can speak about opinionatedly: what worked, what didn't, what you'd do differently.
You've fine-tuned, distilled, or trained models to meet cost, latency, or quality targets in production.
Experience with retrieval, ranking, embeddings, or search relevance.
Experience working directly with enterprise customers and translating their needs into a product.
Experience mentoring or up-leveling engineers, especially raising a team's agent engineering fluency.
Level
📊 This job is an IC4. You can read more about
our job leveling philosophy
in our Handbook.
Compensation
💸
We pay above-market salaries because we want to hire exceptional people who can focus on building great products, not worrying about paying bills. As an
open and transparent
company, our
compensation philosophy
and pay bands are visible to every Sourcegraph teammate, and we strive to make our approach equitable, explainable, and competitive.
Your base salary is determined by the IC4 pay band for your location zone (1-4). Our pay bands are informed by market data and designed to ensure competitive compensation wherever you live. During the recruiting process, we'll discuss the range applicable to you based on job level, relevant skills, experience, qualifications, and location zone.
💰
The starting salary for the IC4 pay band in each zone is:
Zone 2: $176,000 USD
Zone 3: $132,000 USD
Zone 4: $88,000 USD
📈 In addition to competitive cash compensation, we offer meaningful equity (because when Sourcegraph succeeds, we want you to succeed, too) and generous
perks & benefits
.
Interview process
Below is the interview process you can expect for this role (you can read more about
the types of interviews
in our Handbook). It may look like a lot of steps, but rest assured that we move quickly and the steps are designed to help you get the information needed to determine if we’re the right fit for you… Interviewing is a two-way street, after all!
We expect the interview process to take 5.5 hours in total.
👋 Introduction Stage
- we have initial conversations to get to know you better…
[30m]
Recruiter Screen
[30m]
Hiring Manager Screen
🧑💻 Team Interview Stage
- we then delve into your experience in more depth and introduce you to members of the team, including cross-functional partners…
[60m]
Resume Deep Dive
[60m]
System Design
[60m]
Harden a Code Research Agent Interview
[60m]
Cross-functional team collaboration
/
Values
🎉 Final Interview Stage
- we move you to our final round, where you gain a better understanding of our business and values holistically…
[30]
Leadership
We check references and conduct your background check
Please note - you are welcome to request additional conversations with anyone you would like to meet, but didn’t get to meet during the interview process.
Learn more about us
You can learn more about what it is like to work at Sourcegraph by reading
our handbook
.
We are an ambitious team who are collectively working hard to build the most influential company in the world. You can read more about our
culture
,
competitive compensation
and
benefits
here.
Sourcegraph is an equal opportunity workplace; we welcome people from all backgrounds.
Sourcegraph participates in
E-Verify
for U.S. Employees.
Location: London, United Kingdom
Workplace: hybrid
About InvestEngine
InvestEngine is everything the modern investor should need. Unbeatable value, market-leading automation, and built for easy, long-term investing. We’ve built a strong foundation, have over £2 billion invested, award-winning service, and a passionate team, now we’re ready to scale.
Role Overview
As an Analyst, you will play a key role within the Analytics team, initially focused on data governance and compliance — spanning topics such as Consumer Duty, CASS, KYC/AML and data protection — with the expectation of broadening into general analytics support across the business over time. You will work closely with stakeholders across Compliance, Risk, Operations, Product and Commercial to translate governance and regulatory requirements into clear, well-documented data controls, reports and dashboards — using a modern, automated tech stack.
This role is best suited to an analytically minded person with an engineering mindset: someone who instinctively looks to automate and simplify rather than accept a manual, spreadsheet-driven process, and who is confident proposing new ways of working, new team structures, or new technology when the current approach isn't fit for purpose. You should be comfortable with ambiguity in a growing analytics function, and want to work in a modern, automation- and AI-enabled way rather than through manual, ad hoc reporting.
Key Responsibilities
Governance & Compliance
Support the design and rollout of a data governance framework: data ownership, definitions, lineage and retention policies.
Partner with Compliance, Risk and Legal stakeholders to translate regulatory requirements (e.g. Consumer Duty, CASS, KYC/AML, GDPR) into concrete data controls, monitoring and reporting.
Maintain and evolve the analytics glossary, data catalogue and semantic layer so compliance-related metrics are clearly defined, consistent and auditable.
Support internal and external audit requests with well-documented, reproducible analysis.
Modern Analytics & Automation
Build and maintain data transformations and models using SQL and dbt, following version-controlled, tested and documented practices.
Automate recurring reports, reconciliations and alerts to reduce manual effort and strengthen controls.
Use AI-enabled tools (e.g. Claude, Copilot) responsibly to accelerate analysis, coding, QA and documentation, within agreed data-handling and compliance guardrails.
Contribute to modern software-engineering practices for analytics: version control (git), peer review of dbt models/queries, and lightweight CI/CD where relevant.
Ways of Working & Continuous Improvement
Default to automating and simplifying: question manual, spreadsheet-driven or one-off processes rather than just repeating them.
Propose new tools, architectures, or ways of working where the current setup is holding the team back — this role is expected to shape the analytics function's approach, not just operate within it.
Bring an engineering-influenced approach to analytics work: reusable, testable, version-controlled, rather than one-off scripts or manual spreadsheets.
Reporting & Dashboards
Build and maintain dashboards and reports using modern BI tools.
Ensure metrics are correctly defined, documented, and consistent with the data catalogue and semantic layer.
As the role broadens, support wider analytics team with ad hoc analysis outside governance and compliance.
Data Quality & Documentation
Work with the Chief Data Officer to ensure data accuracy, reconciliation and quality.
Contribute to data documentation, definitions and the analytics glossary.
Raise data quality issues and support root-cause analysis.
Stakeholder Collaboration
Work closely with business and compliance stakeholders to understand requirements and analytical needs.
Clearly communicate insights and findings in a structured, accessible way.
Support decision-making by translating complex analysis and regulatory detail into clear narratives.
Requirements & Skills
Experience in a Data Analyst, Business Analyst, Compliance Analyst or similar role.
Strong SQL skills; hands-on experience with dbt, or a strong aptitude and willingness to learn modern transformation tooling quickly.
Familiarity with data governance and one or more relevant regulatory/compliance topics (e.g. Consumer Duty, CASS, KYC/AML, GDPR, Market Abuse Regulation, data retention) is desirable.
An engineering mindset — a demonstrated habit of automating, simplifying, or redesigning a manual process rather than living with it, even where that means suggesting a new tool or way of working.
Experience or strong interest in using AI tools to enhance analytical workflows — e.g. AI-assisted coding, prompt engineering, automation of repetitive tasks.
Comfortable with version control (git) and other modern, engineering-influenced ways of working.
Experience with modern BI tools (e.g. Metabase, Lightdash, Omni, Looker).
Strong analytical thinking and problem-solving ability.
Clear written and verbal communication skills, including with non-technical, compliance-focused stakeholders.
Confidence to challenge the status quo and propose alternatives, backed by data and sound reasoning.
Experience in fintech or financial services is desirable but not essential.
What Success Looks Like
A trusted, well-documented and automated data governance reporting suite covering the business's key data domains, including Consumer Duty, CASS and KYC/AML.
The use of a modern, automated reporting stack (SQL/dbt) to replace manual, ad hoc processes.
At least one meaningful new way of working, tool, or structural change proposed and adopted by the team.
Effective, appropriate use of AI tools to speed up delivery without compromising data governance.
Strong stakeholder relationships and increasing autonomy as the role broadens beyond governance and compliance.
Our Hiring Process
Introductory call with our Talent team
Gamified cognitive assessment to understand how you think and problem-solve
Competency interview focused on your experience in operational risk and controls (may include a short task or case study)
Senior leadership interview to explore alignment with our culture, values, and strategic direction
Location: Remote - Global
Who We Are:
Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure
for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more.
Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts.
Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it.
Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator.
Our Team Members:
We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond!
We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply.
Role
Serve as the on-duty commander for Alpaca's most critical incidents, directing cross-functional response to restore service quickly, keeping the right people engaged and informed, and making sure every incident leaves behind something the organisation can act on.
You do not fix the outage. You make the response reliable: correct severity, the right engineers in the room, mitigation that does not stall, leaders informed in time, and follow-up work that survives the call.
Things You Get To Do
Command incidents end to end.
Take command from declaration to mitigation, keeping responders focused on stopping customer and partner impact as fast as possible. Run the bridge, keep observers out of the responders' way, and name a stall out loud when you see one.
Classify and hold the line on severity.
Set severity at declaration and re-check it as facts arrive. Risk advises on financial and regulatory materiality; the call is yours.
Engage the right people, fast.
Identify the owning team by service, symptom and blast radius, page them, and expand the responder set the moment the first team is wrong or not enough. When a page goes unanswered, escalate - and escalate the escalation. Bring in the leaders who must make business calls: feature flags, traffic shedding, failover, freeze-or-ship.
Hold the bridge, and protect the people fixing it.
Keep engineering and technical support uninterrupted - questions from stakeholders, partners and executives come to you. Be the single source of truth to the partner communications team on impact, severity and timing: you decide when a status page update or partner contact is needed, they write and send it, and chasing a late or stale update is yours.
Run follow-the-sun handoffs.
Deliver warm, high-fidelity handoffs across regions: current impact and severity, mitigation path and next actions, who is in the room, outstanding decisions, and what must not be dropped. The incoming commander confirms ownership before you step away - command never goes dark at a region boundary.
Close the loop, on the clock.
Maintain the timeline of facts as the incident runs rather than reconstructing it afterwards - in a regulated business that record has to hold up long after the call ends. Once mitigated, make sure a blameless retrospective is scheduled with a named owner and a timebox, and record where the cause sits - that choice sets which follow-up items are mandatory. Every action item needs a real ticket, one named accountable, a priority and a category, delivered inside the agreed service level. If a postmortem produces nothing but low-priority items, treat that as a signal the analysis stopped early and escalate to SRE rather than passing it on.
Automate the coordination away.
Coordination is the part of this job that should eventually belong to a machine. Every manual prompt you send - the update that is due, the question nobody answered, the partner nobody contacted - is a candidate for automation, and the direction we are heading is AI handling the routine so commanders can spend their attention on judgement. You get us there by working to the decision trees, saying where they are wrong, and being honest about which of your instincts are actually rules.
Who You Are (Must-Haves)
4+ years commanding or co-commanding high-severity incidents in a production engineering, SRE or technical operations environment.
You direct technical responders under pressure without being the person writing the fix.
You make and defend crisp severity and escalation decisions, and you take charge without waiting to be asked. Command means waking senior people at 03:00, interrupting an executive, and telling an experienced engineer to stop what they are doing - with an audience watching. It is a visible, directive role and it needs to be instinctive.
You can read a dashboard and judge for yourself whether impact has actually stopped.
You communicate clearly with engineers, executives and partner-facing stakeholders - and you know the difference between briefing the comms function and speaking for the company.
You are comfortable holding other teams to account in the moment, across a reporting line that is not yours, without turning it into friction.
You thrive in a follow-the-sun model with clean cross-region handoffs.
You understand FinTech concepts and the trust stakes of API-driven financial platforms.
You use AI tools and agentic automation to reduce manual toil and speed up response.
You will work a regional coverage window as part of a global 24x7 Incident Commander roster.
Who You Might Be (Nice-to-Haves)
Formal incident command training - ITIL, Major Incident Management or crisis management.
Experience with modern incident management and on-call platforms.
You have written severity rubrics, decision trees, escalation matrices, runbooks or incident playbooks.
You have commanded in game days, tabletop exercises or incident simulations, not only in production.
You have partnered with problem management or reliability programme functions to roadmap incident follow-ups.
Online securities trading or capital markets experience, or another regulated, market-hours-sensitive domain.
How We Take Care of You:
Competitive Salary & Stock Options
Health Benefits
New Hire Home-Office Setup: One-time USD $500
Monthly Stipend: USD $150 per month via a Brex Card
Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.
Recruitment Privacy Policy
Location: Spain; Portugal; Poland; Bulgaria; Slovakia; Italy
Who we are:
Action1 reinvents patching with an infinitely scalable, highly secure, cloud-native platform configurable in 5 minutes — it just works and is always free for the first 200 endpoints, with no functional limits. Featuring unified OS and third-party patching with peer-to-peer patch distribution and real-time vulnerability assessment with no VPN needed, it enables autonomous endpoint management that preempts ransomware and security risks, all while eliminating costly routine labor. Trusted by thousands of enterprises managing millions of endpoints globally, Action1 is certified for SOC 2 and ISO 27001.
The company is founder-led by industry veterans Alex Vovk and Mike Walters, who founded Netwrix, which has grown into a multi-billion-dollar industry-leading cybersecurity company.
Introduction:
We're currently seeking a Technical Support Engineer Tier I to provide exceptional support and customer service to Action1 clients.
What you'll do:
Provide timely, efficient technical support with prompt responses to customer inquiries.
Troubleshoot and resolve customer issues via phone and other communication channels.
Follow up with customers post-troubleshooting to ensure full product functionality.
Collaborate with the engineering team to address complex technical challenges.
Work closely with the product team, incorporating customer feedback into product improvements.
Build and maintain an internal knowledge base with useful guides and solutions.
Continuously refine and enhance the customer support process for better efficiency.
Reproduce customer-reported issues and escalate confirmed problems to the appropriate teams.
Participate in customer meetings when needed to troubleshoot and resolve issues directly.
Requirements
What we're looking for:
Have strong expertise in Microsoft Windows operating systems.
Ability to identify and troubleshoot failed patch installations.
Be familiar with PowerShell scripting and able to understand basic scripts.
Proficiency in Mac OS and/or Linux platforms.
Demonstrate knowledge of software deployment and configuration using install switches.
Be skilled in reading, writing, modifying, and backing up the Windows registry.
Have previous experience in technical support or customer service roles.
Possess excellent problem-solving and communication skills, working effectively with customers and internal teams.
Have solid experience troubleshooting software issues across various environments.
Advanced English proficiency (C1–C2 level) is required
Would be a plus:
Experience with patch management solutions.
Ability to analyze and interpret logs and event data.
Knowledge of Windows Group Policy configuration and management.
Familiarity with Windows servers and server management.
A basic understanding of the Windows Security model and related protocols.
Additional languages would be a plus, particularly Spanish and French
Benefits
What we offer:
Engaging challenges and opportunities to solve real-world problems.
Continuous professional growth and learning with cutting-edge technologies.
A stable income, flexible working hours, and opportunities for advancement.
A supportive and collaborative team of skilled professionals.
A remote-first culture, offering flexibility and work-life balance.
Join Action1 and be a driving force behind our success!
Location: Remote - United States
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit
www.redditinc.com
.
The
Reddit Consumer Engineering
organization builds and scales the products that Redditors use directly to discover content, participate in communities, and connect with others. Sitting at the intersection of large-scale distributed systems and core user journeys, Product Backend Engineers in Consumer Engineering partner directly with Product Managers, Designers, Data Scientists, ML Engineers, and Frontend Engineers to build, experiment with, and scale features that power how hundreds of millions of users discover, join, navigate, and engage with Reddit.
This centralized role hires across several high-impact consumer teams, including:
Core Product & Feeds:
Home Experience, Recommendations & Content Discovery, Content Contribution
Community & Presence:
Reddit Pro, Youth Experience & Teen Safety, Creator Tools
Growth & Engagement:
Authentication, Notifications, Social Sharing, SEO, Onboarding.
Monetization & Conversion:
Paid User Acquisition, Conversion Funnel Optimization
Identity & Security:
Account Management, Trust & Safety
What You’ll Do
Cross-Functional Product Architecture:
Partner closely with Product Management, Product Design, Data Science, and Client Engineers (iOS/Android/Web) to translate business and user needs into reliable, low-latency technical solutions.
End-to-End Delivery:
Own the full software lifecycle for major product initiatives from technical design docs and API contracts to development, testing, rollout, and observability.
Metrics & Experimentation-Led Engineering:
Design, build, and evaluate A/B experiments. Work with tools like BigQuery, HEX, or Firebase to analyze user behavior, conversion funnels, and retention loops to make data-backed engineering decisions.
API & System Performance:
Build and maintain scalable APIs (GraphQL, REST, gRPC) and distributed backend services optimized for client consumption and consumer UI performance.
Technical Rigor & Modern Tooling:
Establish engineering best practices, improve developer workflows, mentor teammates, and use modern, AI-integrated tools to ship high-quality products efficiently.
Who You Are
User-Centric Mindset:
An advocate for the user with an intuitive feel for product usability, interaction design, social dynamics, and user growth loops. You care deeply about
why
a feature is being built and its impact on the end user.
Data-Informed & Hypothesis-Driven:
Comfortable working alongside Data Scientists and PMs to design experiments, establish core performance metrics, and iterate quickly based on real-time feedback.
Technical Rigor at Scale:
3+ years of hands-on backend development experience building and operating large-scale distributed serving systems in high-concurrency environments.
Bias for Action:
Self-directed, innovative, and comfortable navigating ambiguity in fast-paced product environments where balancing velocity with system reliability is essential.
Collaborative Communicator:
Outstanding communication skills with a track record of driving cross-functional alignment in fully remote or hybrid team environments.
Technical Qualifications
Languages:
Proficiency in modern backend languages such as
Go
or
Python
(or Java, Kotlin, Rust, C++).
API Design:
Expertise in designing and maintaining scalable, maintainable APIs using
GraphQL
,
REST
, or
gRPC
for native mobile and web applications.
Data & Caching:
Experience with high-throughput caching layers and distributed datastores (e.g.,
Redis
,
Cassandra
,
PostgreSQL
).
Modern Workflows:
Experience or interest in using AI-assisted engineering tools to accelerate development workflows.
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit
https://www.redditinc.com/careers/
.
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base salary range for this position is:
$164,000
—
$229,000 USD
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our
Candidate Privacy Policy for Potential Employees and Contractors
.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Location: Remote - Ireland
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit
www.redditinc.com
.
The Global Tax Team is seeking a hands-on indirect tax professional to help build and scale Reddit’s global indirect tax function. As Reddit continues to grow as a public company and expand its products and commercial offerings, this person will own critical elements of our US and international indirect tax operations, including US S&U tax and VAT/GST.
You will partner closely with the business to translate complex tax requirements into practical decisions, reliable systems, and scalable processes. In keeping with Reddit values, the successful candidate will operate with an open mindset, exercise sound judgment, and “value the human” in every interaction.
This position will report to the International Tax Senior Manager.
Responsibilities:
Manage key elements of Reddit’s global indirect tax function across B2B and B2C revenue streams, including US S&U tax, VAT/GST, DSTs, and other transactional taxes.
Oversee indirect tax registrations, return compliance, payments, exemption documentation, taxability determinations, and related controls across multiple jurisdictions.
Own and improve indirect tax processes and systems, including product and taxability mapping, exemptions, transaction testing, system integrations, data validation, and issue resolution.
Serve as the indirect tax cross-functional partner for new products and initiatives, commercial arrangements, billing changes, and geographic expansion.
Monitor and implement evolving e-invoicing, digital reporting, and real-time reporting requirements.
Perform indirect tax account reconciliations, accruals, journal entries, close activities, and internal controls.
Advise on the indirect tax provisions of customer and vendor agreements, invoicing requirements, and available exemptions.
Manage indirect tax audits, notices, and disclosures.
Monitor legislative and regulatory developments and assess their impact on Reddit.
Develop scalable processes, automation, metrics, and documentation that improve data quality, reduce manual work, and strengthen operational controls.
Contribute to broader Global Tax Team priorities and ad hoc projects, flexing beyond the role’s core indirect tax responsibilities as business needs evolve.
Qualifications:
Bachelor’s degree in Tax, Accounting, or a related field.
6+ years of indirect tax experience in public accounting and/or a multinational corporate tax function, including meaningful hands-on operational experience.
Technical and operational experience with both US and international indirect taxes, including B2B and B2C transactions.
Experience researching product and service taxability, registration and nexus obligations, place-of-supply rules, invoicing requirements, and exemptions.
Experience supporting indirect tax compliance, accounting, audits, and controls across multiple jurisdictions.
Ability to understand end-to-end transaction flows and convert tax requirements into workable processes, data requirements, and system configurations.
Strong project-management skills and experience supporting system changes or other cross-functional initiatives.
Excellent written and verbal communication skills, including the ability to clearly explain complex tax matters to non-tax stakeholders.
Ability to work independently, manage competing priorities, and exercise sound judgment in a fast-moving and evolving environment.
Strong attention to detail, ownership, curiosity, and commitment to developing durable solutions rather than temporary workarounds.
Preferred Qualifications:
Vertex experience is highly preferred, particularly with rule or product mapping, transaction testing, system integrations, configuration changes, data validation, reconciliations, and production troubleshooting. Experience with another enterprise indirect tax engine will also be considered.
Experience with indirect tax issues affecting technology, digital media, advertising, subscriptions, SaaS, or other high-volume transactional businesses.
Experience implementing e-invoicing, digital reporting, or real-time reporting requirements.
Experience working with ERP, billing, procurement, and financial-reporting systems and analyzing large transactional datasets.
Experience with automation or data tools such as Alteryx or SQL.
A CPA, CMI, MST, JD, LLM, or comparable professional qualification.
A combination of public accounting and in-house experience.
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our
Candidate Privacy Policy for Potential Employees and Contractors
.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Location: Remote - United Kingdom
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit
www.redditinc.com
.
The Global Tax Team is seeking a hands-on indirect tax professional to help build and scale Reddit’s global indirect tax function. As Reddit continues to grow as a public company and expand its products and commercial offerings, this person will own critical elements of our US and international indirect tax operations, including US S&U tax and VAT/GST.
You will partner closely with the business to translate complex tax requirements into practical decisions, reliable systems, and scalable processes. In keeping with Reddit values, the successful candidate will operate with an open mindset, exercise sound judgment, and “value the human” in every interaction.
This position will report to the International Tax Senior Manager.
Responsibilities:
Manage key elements of Reddit’s global indirect tax function across B2B and B2C revenue streams, including US S&U tax, VAT/GST, DSTs, and other transactional taxes.
Oversee indirect tax registrations, return compliance, payments, exemption documentation, taxability determinations, and related controls across multiple jurisdictions.
Own and improve indirect tax processes and systems, including product and taxability mapping, exemptions, transaction testing, system integrations, data validation, and issue resolution.
Serve as the indirect tax cross-functional partner for new products and initiatives, commercial arrangements, billing changes, and geographic expansion.
Monitor and implement evolving e-invoicing, digital reporting, and real-time reporting requirements.
Perform indirect tax account reconciliations, accruals, journal entries, close activities, and internal controls.
Advise on the indirect tax provisions of customer and vendor agreements, invoicing requirements, and available exemptions.
Manage indirect tax audits, notices, and disclosures.
Monitor legislative and regulatory developments and assess their impact on Reddit.
Develop scalable processes, automation, metrics, and documentation that improve data quality, reduce manual work, and strengthen operational controls.
Contribute to broader Global Tax Team priorities and ad hoc projects, flexing beyond the role’s core indirect tax responsibilities as business needs evolve.
Qualifications:
Bachelor’s degree in Tax, Accounting, or a related field.
6+ years of indirect tax experience in public accounting and/or a multinational corporate tax function, including meaningful hands-on operational experience.
Technical and operational experience with both US and international indirect taxes, including B2B and B2C transactions.
Experience researching product and service taxability, registration and nexus obligations, place-of-supply rules, invoicing requirements, and exemptions.
Experience supporting indirect tax compliance, accounting, audits, and controls across multiple jurisdictions.
Ability to understand end-to-end transaction flows and convert tax requirements into workable processes, data requirements, and system configurations.
Strong project-management skills and experience supporting system changes or other cross-functional initiatives.
Excellent written and verbal communication skills, including the ability to clearly explain complex tax matters to non-tax stakeholders.
Ability to work independently, manage competing priorities, and exercise sound judgment in a fast-moving and evolving environment.
Strong attention to detail, ownership, curiosity, and commitment to developing durable solutions rather than temporary workarounds.
Preferred Qualifications:
Vertex experience is highly preferred, particularly with rule or product mapping, transaction testing, system integrations, configuration changes, data validation, reconciliations, and production troubleshooting. Experience with another enterprise indirect tax engine will also be considered.
Experience with indirect tax issues affecting technology, digital media, advertising, subscriptions, SaaS, or other high-volume transactional businesses.
Experience implementing e-invoicing, digital reporting, or real-time reporting requirements.
Experience working with ERP, billing, procurement, and financial-reporting systems and analyzing large transactional datasets.
Experience with automation or data tools such as Alteryx or SQL.
A CPA, CMI, MST, JD, LLM, or comparable professional qualification.
A combination of public accounting and in-house experience.
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our
Candidate Privacy Policy for Potential Employees and Contractors
.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
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 Platform Engineer (AI & Automation) at OnePay, you are the technical force responsible for transforming AI strategy into production reality. You will embed within cross-functional teams to design, build, and deploy the agentic systems and intelligent tooling that automate complex workflows and 10X their impact.
WHAT YOU’LL DO
- Operate as an AI-native engineer, utilizing tools like Cursor and Claude Code to rapidly prototype, deploy, and ship production-grade AI agents and automation workflows that solve high-stakes business problems in cross-functional organizations.
- Lead structured discovery sessions with business stakeholders and Subject Matter Experts to surface requirements, assess feasibility, and translate manual processes into clear, performant technical specifications and agentic architectures.
- Build, maintain, and secure robust integrations between the core SaaS stack and custom AI services, instrumenting monitoring, guardrails, and evaluation frameworks to ensure all AI-driven workflows are accurate, compliant (including PII handling and audit logging), and resilient at scale.
- Act as a technical force multiplier by empowering and educating internal partners to adopt AI-first mindsets, and create reusable playbooks, architecture decision records, and handoff documentation to enable teams to maintain and extend what you build.
YOU BRING
- 5+ years of professional engineering experience shipping production code to write clean, maintainable, and well-tested code.
- Hands-on expertise with modern AI tooling, including LLM APIs, agent frameworks (LangGraph, Claude SDK), developer tools (Cursor/Claude Code), MCP server development, and familiarity with LLM evaluation techniques (prompt regression testing, human-in-the-loop review, and automated eval pipelines).
- Systems integration experience, including a working knowledge of REST APIs, data pipelines (SQL), and cloud infrastructure (GCP/AWS).
- A "Product Mindset"—proactively finding friction points, designing solutions, and presenting trade-offs to all audiences—along with the drive and proactivity to "walk across org lines" to get things done.
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: Hybrid
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 Location: Dubai, UAE
What you will do as a Customer Engineer
The Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value—guiding enterprise clients from initial pre-sales technical validation through onboarding, deployment architecture, and full lifecycle expansion. Sitting within the GTM organization and reporting to a Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, leveraging AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire customer journey.
Regional Focus: Ankara, Turkey
Key Responsibilities
Technical Validation:
Partner closely with Account Executives to lead technical deep-dive discovery, capture business requirements, and map complex customer infrastructure - DNS, CDN, Zero Trust, Network Security, Workers - to fit-for-purpose Cloudflare architectures and bespoke solutions. . Define, scope, success criteria, and technical evaluations plans for Proof of Concepts (PoCs) and Technical Validations. Deliver tailored technical presentations, architectural diagrams, and demonstrations that show how Cloudflare solves specific performance, security, and reliability challenges. Proactively address complex technical objections, security compliance questions, and edge-case architectural requirements during the sales cycle. Take accountability for a suitable solution deployment strategy (Customer, Partner or Cloudflare Professional services) being an integral part of all proposals.
Customer Adoption & Value Realization:
Provide oversight to technical onboarding and implementation, but not execute the implementation, serving as the primary executive and engineering contact for the customer. Design structured migration and onboarding blueprints tailored to the customer’s environment (e.g. DNS migrations, Zero Trust rollouts, WAF tuning guidance), and act as the lead consultant for customer engineering teams, walking them step-by-step through configuration best practices. Partner with Account Executives to own discovery, demos, onboarding, technical health, risk, and expansion strategy. Proactively monitor customer health scores and telemetry to ensure rapid time-to-value, resolve integration bottlenecks, and reduce deployment risk.
Commercial Accountability & Expansion:
Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. Be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives.
Trusted Advisory:
Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion. Provide thought partnership on architecture, AI control layers, security posture, and deployment confidence. Identify potential deployment risks or integration bottlenecks early, and provide remediation strategies to de-risk customer outcomes.
AI Orchestration & Workflow Automation:
Leverage AI agents, Large Language Models (LLMs), and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, basic telemetry monitoring, and internal/external documentation, reclaiming your time for strategic customer advisory.
Education & Enablement:
Partner closely with the Enablement Team to design, build, and govern technical resources. Define, document, and educate both internal teams and customers on deliverables such as Standard Operating Procedures (SOPs), architectural best practices, and technical guides to continuously raise the technical baseline across the organization.
Minimum Qualifications
Fluency in English and Turkish (written and spoken).
Experience: Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Professional Services, Sales Engineering, Technical Account Management, or as a Forward Deployed Engineer (years of experience required will vary based on Associate, Senior, Staff, or Principal leveling).
Architectural Mindset: Ability to white-board, design, and articulate complex enterprise network and security architectures clearly.
Consultative & Advisory Skills: Excellent communication skills with the ability to translate deeply technical concepts into business outcomes for both hands-on engineers and C-level executives.
Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise sales cycles.
Communication: Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy.
Technical Breadth: We do not expect every candidate to be an expert in every domain. Qualified candidates will demonstrate depth in at least four of the technical areas below:
Internet fundamentals: Deep understanding of how the Internet works, including OSI Model layers 1–7, BGP, GRE, TCP/UDP, DNS (authoritative and recursive), HTTP(S), and SSL/TLS.
Security: Expertise in the security of Internet properties, including WAF, Bot Management, Firewalls, Rate Limiting, (M)TLS, Zero Trust, and SASE concepts.
Performance: Expertise in the performance of Internet properties, including speed, latency, caching, video streaming, HTTP/2, and TLS 1.3.
AI Proficiency: Familiarity with prompt engineering, AI-assisted scripting and log analysis, LLM utilization, and workflow automation to augment everyday CE workflows.
Coding/Scripting: Proficiency in Python, JavaScript, Bash, Lua, Go, or similar languages to write custom integration scripts, API connectors, and edge computing functions.
Developer Platform Fluency: Experience designing, building, deploying or scaling applications using RESTful/GraphQL APIs, SDKs, webhooks, and developer tooling in cloud-native environments. Familiarity with infrastructure-as-code (Terraform, Pulumi), CI/CD pipelines, and observability for developer-led deployments.
Strongly Preferred Qualifications (The "Good-to-Haves")
Technical Enablement: Track record of creating and delivering technical enablement - workshops, code samples, documentation, or developer onboarding - that accelerates customer adoption of complex platforms.
Applied AI Knowledge: Experience with LLM orchestration, Retrieval-Augmented Generation (RAG) architectures, and model-access controls.
Regulatory Knowledge: Understanding of regulatory requirements such as PCI DSS, HIPAA, and SOC 2.
Hyperscaler / Digital Native Background: Talent coming out of hyperscalers, digital natives, distributed systems environments, or startups is strongly valued for its deeper cloud fluency and advanced architecture depth.
Education
Undergraduate or graduate degree in Computer Science, Engineering, or a related field.
Travel
This role may require travel up to 20–50% to attend customer meetings, conferences, industry events, and in-person team collaboration.
Compensation
This role features a competitive base salary and a variable compensation structure tied directly to the successful execution of full-lifecycle commercial targets, including new business acquisition, ongoing adoption milestones, and overall account expansion.
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: Hybrid
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 Location: Dubai, UAE
What you will do as a Customer Engineer
The Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value—guiding enterprise clients from initial pre-sales technical validation through onboarding, deployment architecture, and full lifecycle expansion. Sitting within the GTM organization and reporting to a Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, leveraging AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire customer journey.
Regional Focus:
Saudi Arabia
Key Responsibilities
Technical Validation:
Partner closely with Account Executives to lead technical deep-dive discovery, capture business requirements, and map complex customer infrastructure - DNS, CDN, Zero Trust, Network Security, Workers - to fit-for-purpose Cloudflare architectures and bespoke solutions. . Define, scope, success criteria, and technical evaluations plans for Proof of Concepts (PoCs) and Technical Validations. Deliver tailored technical presentations, architectural diagrams, and demonstrations that show how Cloudflare solves specific performance, security, and reliability challenges. Proactively address complex technical objections, security compliance questions, and edge-case architectural requirements during the sales cycle. Take accountability for a suitable solution deployment strategy (Customer, Partner or Cloudflare Professional services) being an integral part of all proposals.
Customer Adoption & Value Realization:
Provide oversight to technical onboarding and implementation, but not execute the implementation, serving as the primary executive and engineering contact for the customer. Design structured migration and onboarding blueprints tailored to the customer’s environment (e.g. DNS migrations, Zero Trust rollouts, WAF tuning guidance), and act as the lead consultant for customer engineering teams, walking them step-by-step through configuration best practices. Partner with Account Executives to own discovery, demos, onboarding, technical health, risk, and expansion strategy. Proactively monitor customer health scores and telemetry to ensure rapid time-to-value, resolve integration bottlenecks, and reduce deployment risk.
Commercial Accountability & Expansion:
Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. Be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives.
Trusted Advisory:
Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion. Provide thought partnership on architecture, AI control layers, security posture, and deployment confidence. Identify potential deployment risks or integration bottlenecks early, and provide remediation strategies to de-risk customer outcomes.
AI Orchestration & Workflow Automation:
Leverage AI agents, Large Language Models (LLMs), and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, basic telemetry monitoring, and internal/external documentation, reclaiming your time for strategic customer advisory.
Education & Enablement:
Partner closely with the Enablement Team to design, build, and govern technical resources. Define, document, and educate both internal teams and customers on deliverables such as Standard Operating Procedures (SOPs), architectural best practices, and technical guides to continuously raise the technical baseline across the organization.
Minimum Qualifications
Fluency in English and Arabic (written and spoken).
Experience: Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Professional Services, Sales Engineering, Technical Account Management, or as a Forward Deployed Engineer (years of experience required will vary based on Associate, Senior, Staff, or Principal leveling).
Architectural Mindset: Ability to white-board, design, and articulate complex enterprise network and security architectures clearly.
Consultative & Advisory Skills: Excellent communication skills with the ability to translate deeply technical concepts into business outcomes for both hands-on engineers and C-level executives.
Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise sales cycles.
Communication: Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy.
Technical Breadth: We do not expect every candidate to be an expert in every domain. Qualified candidates will demonstrate depth in at least four of the technical areas below:
Internet fundamentals: Deep understanding of how the Internet works, including OSI Model layers 1–7, BGP, GRE, TCP/UDP, DNS (authoritative and recursive), HTTP(S), and SSL/TLS.
Security: Expertise in the security of Internet properties, including WAF, Bot Management, Firewalls, Rate Limiting, (M)TLS, Zero Trust, and SASE concepts.
Performance: Expertise in the performance of Internet properties, including speed, latency, caching, video streaming, HTTP/2, and TLS 1.3.
AI Proficiency: Familiarity with prompt engineering, AI-assisted scripting and log analysis, LLM utilization, and workflow automation to augment everyday CE workflows.
Coding/Scripting: Proficiency in Python, JavaScript, Bash, Lua, Go, or similar languages to write custom integration scripts, API connectors, and edge computing functions.
Developer Platform Fluency: Experience designing, building, deploying or scaling applications using RESTful/GraphQL APIs, SDKs, webhooks, and developer tooling in cloud-native environments. Familiarity with infrastructure-as-code (Terraform, Pulumi), CI/CD pipelines, and observability for developer-led deployments.
Strongly Preferred Qualifications (The "Good-to-Haves")
Technical Enablement: Track record of creating and delivering technical enablement - workshops, code samples, documentation, or developer onboarding - that accelerates customer adoption of complex platforms.
Applied AI Knowledge: Experience with LLM orchestration, Retrieval-Augmented Generation (RAG) architectures, and model-access controls.
Regulatory Knowledge: Understanding of regulatory requirements such as PCI DSS, HIPAA, and SOC 2.
Hyperscaler / Digital Native Background: Talent coming out of hyperscalers, digital natives, distributed systems environments, or startups is strongly valued for its deeper cloud fluency and advanced architecture depth.
Education
Undergraduate or graduate degree in Computer Science, Engineering, or a related field.
Travel
This role may require travel up to 20–50% to attend customer meetings, conferences, industry events, and in-person team collaboration.
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.
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ГибридheadМосква
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