Location: United Kingdom; Europe; London
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!
ABOUT NORTH:
North https://cohere.com/north is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications.
WHY THIS ROLE?
This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications.
We’re looking for Software Engineers with Applied AI experience who can own the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows.
You’ll work closely with customers on real-world business problems, often building first-of-their-kind agent workflows that integrate LLMs with tools, APIs, and data sources. While our pace is startup-fast, the bar is enterprise-high: agents must be reliable, observable, safe, and auditable from day one.
Location: UK
Active DV clearance is highly preferred
In this role, you will:
- Work closely with our enterprise customers to translate high-value, ambiguous business problems into well-framed agentic workflows with clear success criteria and evaluation methodologies
- Lead the design, build, and delivery of LLM-powered agents that reason, plan, and act across tools, APIs, and sensitive enterprise data sources, with enterprise-grade reliability and performance
- Build and ship features for North, our AI workspace platform, working across the full product lifecycle from conceptualisation through production
- Take ownership of scoping and shaping use cases end-to-end, flexing into whatever technical area the problem demands (including frontend) to drive the most effective solution
- Contribute to shared frameworks and patterns that enable consistent, high-quality delivery across customers and teams
- Drive clarity in ambiguous situations, build alignment, and raise engineering quality across the organization
- Travel up to 20–40% to work on-site with customers and partners
You may be a good fit if:
- You have hands-on experience building and deploying production-grade software in Python; you write clean, testable, observable, scalable code
- You've built and deployed highly performant RAG and agentic applications, including agents that plan and execute multi-step tasks using patterns like ReAct or Plan-and-Execute
- You're deeply familiar with the LLM stack: frontier models, vector databases, and orchestration frameworks
- You have a proven ability to build robust evaluation frameworks, moving well beyond trial and error, to measure agent accuracy, safety, and latency
- You’re experienced working directly with customers and can lead technical discussions with enterprise stakeholders, translating ambiguous business needs into concrete technical specs
- You have experience owning the full scope of a use case end-to-end
- You thrive in fast-paced and ambiguous environments and can execute well even when priorities are shifting
It's a bonus if you have:
- Experience setting architectural standards for AI and agentic systems across distributed teams
- Experience flexing into unfamiliar technical areas, such as frontend, when the problem calls for it
- Exposure to regulated or sensitive industry environments (finance, healthcare, telecoms)
- Experience with enterprise security, compliance, or auditability requirements for AI systems
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.
Задачи:
— Разрабатывать AI-ассистентов, чат-ботов и AI-агентов.
— Создавать многоэтапные AI-workflow.
— Интегрировать OpenAI, Anthropic и другие LLM API.
— Работать с context, memory, state и tool calling.
— Разрабатывать AI-решения для Telegram, WhatsApp и Web.
— Автоматизировать бизнес-процессы с помощью AI.
— Разрабатывать и улучшать RAG-системы.
— Работать с embeddings, semantic search, hybrid search и reranking.
— Настраивать обработку, chunking и индексацию документов.
— Работать с векторными, SQL- и NoSQL-базами данных.
— Реализовывать цитирование и проверку источников ответов.
— Разрабатывать backend на Python / FastAPI и создавать REST API.
— Работать с Pydantic и асинхронным Python.
— Интегрировать внешние API и базы данных.
— Реализовывать retry, timeout, error handling и logging.
— Контейнеризировать сервисы через Docker.
— Оптимизировать промпты и системные инструкции.
— Создавать тестовые сценарии и evals.
— Выявлять галлюцинации и проблемы с контекстом.
— Проводить регрессионное тестирование AI-функциональности.
— Сравнивать модели по качеству, скорости и стоимости.
— Контролировать token usage, latency, ошибки и расходы на LLM.
— Анализировать реальные диалоги пользователей и улучшать AI-системы.
Требования:
— От 2 лет коммерческого опыта в AI Engineering, Backend, ML Engineering или смежной технической роли.
— Уверенный Python.
— Практический опыт работы с FastAPI.
— Опыт работы с REST API, Pydantic и асинхронным Python.
— Опыт работы с Docker и Git.
— Практический опыт интеграции OpenAI, Anthropic или других LLM API.
— Опыт работы с LangChain, LangGraph или аналогичными инструментами.
— Понимание RAG, embeddings и semantic search.
— Опыт разработки AI-ассистентов, чат-ботов или AI-агентов.
— Опыт работы с SQL и/или NoSQL.
— Понимание ограничений LLM: галлюцинации, context window, latency и стоимость.
— Умение писать структурированный и поддерживаемый код.
— Способность самостоятельно разбираться в задачах и предлагать технические решения.
— Английский язык.
Будет большим плюсом:
— Qdrant, Pinecone, pgvector, Weaviate, Milvus или другие vector DB.
— Production-ready RAG.
— AI Agents и tool calling.
— Structured Outputs, JSON Schema и Function Calling.
— LLM evaluation / automated evals.
— LangSmith, Langfuse, Arize Phoenix или аналогичные инструменты.
— PostgreSQL, Redis, Elasticsearch / OpenSearch.
— CI/CD.
— AWS, GCP, Azure.
— OCR и обработка документов.
— Опыт разработки multi-tenant SaaS.
— Понимание информационной безопасности и защиты данных.
AI-инструменты в разработке:
— Claude Code
— Cursor
— GitHub Copilot
— Codex и аналоги
Ожидания на первые 3 месяца:
— Разобраться в существующей AI- и backend-архитектуре.
— Самостоятельно развивать LLM-функциональность.
— Реализовать минимум одну значимую AI-функцию от идеи до production.
— Улучшить качество, стабильность, скорость или стоимость существующих AI-сценариев.
— Настроить базовое тестирование и оценку качества AI-ответов.
— Улучшить логирование и мониторинг ключевых AI-сценариев.
Условия:
— Полная или частичная занятость.
— Формат: удалённо / гибрид.
— График: 5/2 и другие варианты.
— Рабочий день 8 часов.
— Оформление по трудовому договору.
— Остальные условия обсуждаются индивидуально с финальным кандидатом.
— Работа над production-ready AI-системами, а не только демонстрационными решениями.
Location: Atlanta, GA
Workplace: OnSite
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
ABOUT THE TEAM
The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.
This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.
Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.
ABOUT THE ROLE
The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.
WHAT YOU’LL DO
- Co-architect and co-build production AI agents with customer engineering teams
- Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations
- Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows
- Advise customers post-sale on architecture, best practices, and roadmap-level decisions
- Run technical demos, trainings, and workshops for developer audiences
- Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers
- Occasionally contribute code upstream when it meaningfully improves customer outcomes
WHAT YOU’LL BRING
- 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up
- Strong Python, JavaScript and systems fundamentals
- Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling
- Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations
- Can explain technical tradeoffs clearly and build trust with developer audiences
- Take responsibility for outcomes, not just recommendations
- Have a bias toward action and enjoy figuring things out as you go
- Are excited about operating AI agents in production, not just building demos
NICE TO HAVE’S:
- You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks
- Worked with LLM evaluation, observability, or guardrails
- Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts
- Have shipped and operated production software and are comfortable owning systems under real-world constraints
COMPENSATION
Annual OTE range: $150,000–$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: Morocco
Dexis is a dynamic professional services firm dedicated to partnering with government and community leaders both in the U.S. and internationally to achieve critical social outcomes in a rapidly changing world.
At Dexis, you will experience a corporate culture of inclusiveness, respect, fairness, and trust. You will be given the means and mentorship needed to succeed, and your creativity will be rewarded.
LEAP Program Description
Global Solutions Ventures (GSV) – a joint-venture partnership between ZemiTek, LLC and Dexis Consulting Group – is implementing the Long-term Exceptional Technical Assistance Project (LEAP Global), a mechanism originally used by USAID to battle against infectious diseases such as malaria, HIV/AIDS, tuberculosis, neglected tropical diseases, and pandemic influenza. As of July 1, 2025, LEAP Global transitioned to the U.S. Department of State (DOS). This initiative aims to address the complex human resource challenges faced by national infectious disease programs in the USA-supported countries.
The intervention of this project is to hire and embed technical expert advisors and subject matter experts within government entities. By directly embedding the technical expertise within the national programs, LEAP provides long-term, sustainable lifesaving support to empower host governments to lead and manage key aspects of their infectious disease portfolios and improve coordination between the U.S. Government and the host country.
About the Position
The Senior Global Health Security (GHS) Advisor will support the Moroccan Ministry of Health and Social Protection Department of Epidemiology and Disease Control (DELM) in carrying out life-saving health assistance in full alignment with the U.S. Presidential Executive Order (EO) directives. The primary focus of the Advisor will be technical support with a special emphasis on preventing, detecting, and responding to emerging infectious disease threats which impact public health.
The Senior GHS Advisor will support a One Health (the intersection of human, animal, and environmental health) approach among multi-sectoral Government Departments and Agencies - such as the Ministry of Health, Agriculture, and Environment- for the effective adoption and implementation of life saving interventions focusing on preventing, detecting and responding to emerging infectious disease threats with public health potential. The Senior GHS Advisor will identify programmatic bottlenecks and facilitate solutions through coordinated technical support and facilitation of effort through GHS projects. The Senior GHS Advisor will be based within the Ministry of Health and Social Protection. The advisor will receive direction from the appropriate Ministry staff, who will serve as the onsite Manager/Supervisor. Familiarity with USAID/Department of State programming and C/AOR experience are highly desirable as the advisor is expected to support the implementation of the GHS portfolio. The advisor will report to the U.S. Department of State on a weekly and monthly basis.
Responsibilities
With input from the Moroccan Ministry of Health and Social Protection, GHS envisions two Senior GHS advisors will support the Ministry under this program. The profile of each advisor is as follows:
An expert in epidemiology and public health, responsible for improving human health outcomes in line with a One Health approach, which includes enhancing multisectoral coordination to detect, respond, and mitigate the health security threat of high-risk zoonotic diseases with human epidemic potential. The advisor will be responsible for the interpretation of epidemiological trends, as well as the development of reports, summaries, and bulletins;
An expert in management and monitoring-evaluation, responsible for supporting the monitoring and evaluation of performance indicators related to emerging infectious diseases, the establishment of dashboards, gap analysis, and the strengthening of steering and reporting tools.
In addition to these areas of expertise, the advisor will also have the following responsibilities:
Support multisectoral ministries in effective delivery of life-saving health assistance through utilization of domestic and donors’ resources (e.g., Global Fund).
Assist the relevant ministries with effective delivery of LHA GHS services, including but not limited:
community-based active surveillance,
systems capacity for detecting priority diseases/threats,
data systems for monitoring, analyzing, and reporting on threats,
infection prevention and control (IPC), including commodities and WASH in healthcare facilities,
case management, including Emergency Management including Emergency Operating Centers (EOC) and Point of Entry Screening,
Risk Communication and Community Engagement,
Emergency outbreak response.
Provide technical support and actively engage with field work to implement programmatic and response interventions at national and sub-national levels.
Assist in monitoring the progress of GHS program implementation and provide recommendations for improvements in service delivery.
Review and analyze performance reports submitted to the Global Fund (GF), and other partners.
Help organize regular discussions among the multisectoral stakeholders and partners to ensure alignment of technical approaches in the respective GHS portfolio.
Provide support to the appropriate multisectoral ministries in identification of performance gaps, potential barriers and bottlenecks, and facilitate consensus on targeted interventions to improve performance on key indicators attributable to:
A reduction in incidence and mortality for epidemic and pandemic prone diseases.
Strengthening systems to prevent, detect, and respond to infectious disease threats.
Rapid and effective responses to infectious disease outbreaks posing a threat to public health.
Support the implementation and expansion of best practices in GHS and outbreak response nationwide.
Support MoHP and other relevant Ministries in routine review of service delivery processes and outcomes.
Promote the dissemination of best practices and effective models nationwide.
Promote prioritized interventions in effective community-based active surveillance, strengthening systems capacity for detecting priority diseases/threats, and data systems for monitoring, analyzing, and reporting on threats.
Support the adoption of infection prevention and control (IPC), including commodities and WASH in healthcare facilities, and case management.
Support and strengthen Emergency Management including Emergency Operating Centers (EOC) and Point of Entry (POE) screening; risk communication.
Support the relevant Ministries to rapidly and accurately report infectious diseases threats to the relevant, domestic and international system– such as the International Health Regulations (IHR) 7-1-7 Outbreak Response Model and World Animal Health Information System (WAHIS) for quick responses to pandemic threats.
Assist the relevant multisectoral Ministers in emergency outbreak responses as needed.
Assist the relevant multisectoral Ministries to achieve the relevant GHS-related targets including the Joint External Evaluation (JEE); IHR States Parties Self-Assessment (SPAR); and the Pandemic Fund Framework which includes reporting on the 7-1-7 target (7 days to detect, 1 day to report, 7 days to complete the initial response)
Support the relevant Ministries in effective utilization of Pandemic Fund grants, other donors’ resources, and emergency outbreak responses efforts.
Provide technical support to develop Pandemic Fund grant applications and support grant implementation review to ensure effective grant implementation and avoid duplication with US Government funded projects.
Consult relevant stakeholders on required technical assistance.
Assist in monitoring the progress of grant implementation.
Review and analyze performance reports submitted to the Pandemic Fund and other partners.
Help organize regular discussions among the relevant multisectoral stakeholders, Ministries, and donors, and State to ensure alignment of technical approaches in the respective GHS portfolios.
Support emergency outbreak response including assisting with mobilizing resources, coordination of efforts, and technical support for efforts to contain and respond to the outbreak.
Communications:
Participate in regular conference calls with multisectoral stakeholders, U.S. Embassy and GHSD Washington to review progress, discuss activities and address emerging issues.
Provide information and avail him/herself for calls/meetings with the U.S. Embassy as requested.
Provide monthly reports to US Embassy/U.S. Department of State.
REPORTING:
The Senior Advisor will provide a detailed monthly report to the U.S. Department of State submitted by the 5th day of the following month. Additionally, the Advisor will submit a weekly progress report to U.S. Embassy/Department of State (and participate in weekly calls) to include a short paragraph about main successes for that week.
Qualifications
Advanced Degree: A master’s or doctoral degree in public health, epidemiology, global health, medicine, or a related field.
At least 7 years in global health security, infectious disease prevention and control, or health systems strengthening.
Proven ability to lead teams, manage complex projects, and coordinate with multiple stakeholders, including government agencies, donors, and implementing partners.
Demonstrated expertise in areas such as: disease surveillance and outbreak response, laboratory systems strengthening, risk communication and community engagement.
At least 5 years of USG experience as well as partners management.
Proven ability to provide high-level technical advice to government officials, international organizations, and other stakeholders.
Experience managing complex health programs, including planning, implementation, monitoring, and evaluation.
Ability to establish and maintain effective working relationships with government officials, donors, NGOs, and community organizations.
Strong ability to work with diverse stakeholders, including government agencies, donors, NGOs, and multilateral organizations.
Strong written and verbal communication skills in English and French. Proficiency in Arabic/Darija preferred.
Benefits
Dexis offers benefits to support employees’ health, financial security, and well-being. The benefits outlined below are for
full-time, US-based
positions only. These benefits include:
Medical and prescription drug coverage:
A choice of three UnitedHealthcare medical plans, with coverage options for employees and eligible dependents.
Dental insurance:
Dental coverage for employees and eligible dependents, including preventive, basic, major, and orthodontic services, subject to plan limits.
Company-paid vision insurance:
Vision coverage for employees and eligible dependents, with premiums paid in full by Dexis.
Employer-funded health reimbursement arrangement (HRA):
Employees who enroll in the Silver HRA medical plan receive an employer-funded HRA to help pay eligible in-network deductible expenses.
Company-paid life and disability insurance:
Basic life and accidental death and dismemberment (AD&D) insurance, plus short-term and long-term disability coverage.
Optional supplemental insurance:
Voluntary supplemental life and AD&D insurance options, including life insurance options for eligible dependents.
Employee Assistance Program (EAP):
Company-paid access to confidential counseling and legal and financial support resources for employees and their families.
Health and wellness resources:
Virtual care, behavioral health resources, and wellness programs available through the medical plan.
Benefits assistance:
Personalized support with benefit enrollment, coverage questions, claims, and finding providers through the Employee Care Center.
Participation, coverage, and employee contributions are subject to applicable benefit plan terms and eligibility requirements.
Dexis is on a mission to help solve today’s most pressing global political, social, and economic challenges and create a world where all people are safe and prosperous. As a Dexis employee, you will be challenged, empowered, and mentored. Our motto is “find a way or make a way” — that’s how Dexis goes “all in.” How will you?
If you are passionate about this opportunity, apply now!
Only those applicants who meet the above criteria will be contacted for interview.
Dexis is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, sex, national origin, religion, pregnancy, disability, age, genetic information, military service, veteran status, ethnicity, citizenship, sexual orientation, gender identity, marital status, childbirth and related medical conditions, including lactation, or any other protected class under applicable law.
Location: London, England
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
At Figma, we're building tools that help teams design, build, and ship better products together. Figma Make enables teams to go from prompt to production code, and the Figma agent is a purpose-built design agent that edits files directly on the Figma canvas.
We're looking for a deeply technical product leader to lead the four teams responsible for Figma's Roundtripping area: Code Context, Design to Code, Code to Design, and Code Platform. You'll manage and grow a team of Product Managers while partnering closely with engineering, design, data, and research leaders.
This team builds the products and platform capabilities that help design and code move fluently together. You'll set the strategy for improving connecting customer codebases to Figma.
This is a full-time role that can be held from our London hub or remotely within the UK.
What you'll do at Figma:
Lead the product aspects of the four teams driving Figma's Roundtripping area - Code Context, Design to Code and Code to Design, and Code Platform
Set vision, strategy, and goals for how design and code stay in sync at Figma
Own Design to Code and Code to Design workflows end to end, including quality measurement, improvement, and discoverability
Guide the development of the code-context systems and translation primitives that power agentic workflows and round-tripping between design and code
Manage and develop three Product Managers, hire the team's open Product Manager role, and establish a high bar for product management craft
Partner with leaders across engineering, design, data, and research to make technical product decisions and serve needs across Figma's product suite
Establish a strong operating cadence across the area and own adoption goals for MCP and Design to Code/Code to Design workflows
We'd love to hear from you if you have:
3+ years of experience managing Product Managers, with a proven track record of hiring, calibrating, and developing talent
Deep experience shipping developer tools and AI products - has run evals, owned annotation pipelines, and made real ship/no-ship calls on model behavior
A track record of setting strategy and executing on major initiatives in environments with deep technical and product ambiguity - and rallying an org around a bold, unproven bet
Experience working with enterprise customers to understand their workflows and turn that into shipped product
Excellent cross-functional collaboration and written communication with technical depth; credible in engineering reviews and with senior stakeholders
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an
equal opportunity workplace
- we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status
,
or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to
accommodations-ext@figma.com
. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
Examples of accommodations include but are not limited to:
Holding interviews in an accessible location
Enabling closed captioning on video conferencing
Ensuring all written communication be compatible with screen readers
Changing the mode or format of interviews
To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with
Figma's Candidate Privacy Notice
.
Application limits:
To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles:
Candidates may submit up to 5 applications during any rolling 30-day period.
Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection.
Once the applicable days has passed, candidates are welcome to apply again.
Location: Remote (Philippines); Remote (APAC); Remote (Romania); Remote (Central & South America)
Workplace: Remote
ABOUT CLIPBOARD
Our mission is to uplift as many communities as possible. We do this through our app-based marketplace that connects healthcare professionals with the workplaces that need amazing workers. This enables hundreds of thousands of people to achieve financial stability for themselves and their families while providing essential care to millions of people across the U.S.
Founded in 2016, we are a remote-first team of over 1,000 people building a top Y-Combinator company https://www.ycombinator.com/topcompanies/ and have been profitable since 2022. We’re the leader in Long-Term Care staffing and are rapidly expanding into Home Health, Hospitals, and more, meaning we have more work to do than people to do it, and are growing our team to support millions more people and their communities.
ABOUT THE ROLE
The Collections team under Billing is responsible for collecting payments from workplaces (e.g., healthcare facilities). The Billing Representative (BR) is responsible for ensuring that the assigned workplaces pay their invoices quickly and on time. Cash is the lifeline of any company. This is a very critical role to ensure that the cash flows for the company are smooth. The BR will reach out to the workplaces through phone and email to follow up on payments, get a commitment of payment ("promise to pay"), and ensure that the workplaces honor these commitments. The BR will work with the workplaces and the respective internal teams to ensure any roadblocks in collecting the payments are removed. The role will require cross-functional collaboration with Billing Disputes, Sales, Customer Support, and other teams to achieve the desired goals.
RESPONSIBILITIES
- Monitor accounts to identify outstanding debts.
- Call and email accounts payable contacts, administrators, and others as needed to ask about their overdue payments and upcoming dues.
- Build relationships with workplaces (e.g., properly set expectations about our billing policy, explain NET & Dispute Terms, etc.).
- Identify the root cause of non-payment and resolve billing concerns.
- Report on collections updates and accounts receivable status.
- Identify critical accounts and devise SMART action plans to address issues.
REQUIREMENTS AND SKILLS
General
- Professional and clear communication (verbal and written).
- High attention to detail.
- Receptive to feedback (highly coachable).
- Preferred: experience with Google Drive suite, Slack, Salesforce, soft phone software like Amazon Connect.
Technical
- Comfortable with math and data (e.g., calculating payment plan instalments).
- Ability to build relationships with customers.
- Strong judgment in customer-facing decisions and live interactions.
- Negotiating skills.
QUALIFICATIONS
- Open to candidates of all experience levels—what matters most is your ability to handle business customers professionally and solve problems effectively.
- No specific degree required—we care about what you can do, not just what’s on your résumé.
WHY JOIN CLIPBOARD?
- 100% Remote. Work from anywhere in the world.
- Fast-Paced Startup Environment. Join a company that values curiosity, independence, and growth.
- A hiring process that rewards skills, not just experience. Every applicant gets a fair shot—our selection is based on real-world problem-solving ability, not just credentials.
- Opportunity to make a significant impact with our workplace customers.
SYSTEM REQUIREMENTS
To succeed in this role, you must have:
- A reliable laptop/desktop (no Chromebooks or Linux OS).
- Minimum 20 Mbps wired internet connection.
- Wired headset for clear communication.
- A quiet, distraction-free workspace.
- Stable power and internet connectivity.
HIRING PROCESS
1. Application form: This includes basic billing rep skill-based questions. Some questions result in automatic rejection, so please approach these with diligence as they assess your ability to handle real problems and client situations.
2. Case Study: Collections scenarios (identifying at-risk accounts, action plans, email writing)
3. Interview 1: Collections simulation
4. Interview 2: Collections simulation
5. Offer
You will receive an email with the next steps in the process within 2 days of your application. Please check your spam folder! If you don’t see the email, make sure it hasn’t been filtered out or blocked.
Quick Note on Scammers:
Clipboard would never ask you for money or your bank details to participate in our hiring process. Report any scammers impersonating the Clipboard hiring team members here https://forms.gle/SyGaxHFbon7Hg9fW6.
Location: Remote, Bay Area, CA
ABOUT SUPABASE
Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth.
More than 10 million developers build on it, from solo founders shipping over a weekend to teams and builders via Vercel, Lovable and Stripe, and every one of them reaches Supabase through a surface: an API, an auth flow, an SDK, or a Partner's product with Supabase integrated.
The current and next wave of software leans on those surfaces harder than any before it.
Agents now act on behalf of developers and end users, authentication has to work machine-to-machine as seamlessly as it once worked human-to-human, and independent platforms increasingly need to authenticate, delegate, and coordinate with each other without a person in the loop. For a platform built on Postgres with Auth, Compute, Storage and generated Data APIs at its core, the surfaces where Supabase meets Partners and their systems are some of the most important avenues that we own - this role owns these surfaces.
This role owns a focused portfolio of those Partners. Not the platform as a whole, but a small number of strategic Partners whose integrations you are accountable for making excellent. Success here is a product measure, not a commercial one: the integration is high quality, the developers who use it are well served, and it keeps improving. That means living close to those developers, obsessing over where the integration fails them, and turning what you learn into the roadmap. It is a product and engineering job first, because the best integrations are won in architecture reviews and pull requests, not in meetings.
WHAT YOU'LL BE RESPONSIBLE FOR
- Owning the success of a focused portfolio of strategic Partners, a small number of them rather than the platform as a whole. You are accountable for the outcome of each partnership: a high-quality integration that the developers who use it reach for, and that keeps getting better.
- Living close to the developers who use these integrations. Talking to them constantly, finding where each integration breaks down in real use, and building the roadmap from that signal rather than from a Partner's wishlist.
- Deciding the right integration model for each Partner: what Supabase owns, what the Partner owns, what you build jointly, and what stays open and Partner-agnostic, reading whether the two roadmaps run together or diverge and choosing accordingly.
- Working hands-on with each Partner's product and engineering counterparts to ship. Holding your own in an architecture review and a code-level design discussion, and turning strategy into shipped, high-quality integrations rather than long conversations.
- Setting the quality bar for what a great integration looks like, and building the mechanisms (documentation, tooling, guardrails, versioning) that hold every Partner to it as adoption scales.
- Defining what success looks like for each integration and measure it honestly: adoption by the developers who use it, integration quality, and reliability in real use. Using those signals to decide how deep to go with each Partner and where to push the integration next.
YOU MIGHT BE A GOOD FIT IF YOU:
- Have 7+ years of product management on developer tools, or are an ex-founder with strong product instincts, and are technical enough to read an architecture doc, follow a design discussion, and ask the right questions.
- Are based in the San Francisco Bay Area. While we hire globally for almost all roles, this role requires being located near SF (please note we don't sponsor work visa or relocations, you already need to be based in the Bay Area).
- Have shipped integration or platform surfaces that other companies' systems build against, owning APIs, auth or identity flows, or developer-facing platform surfaces end to end, and can reason at the product level about how two independent systems should authenticate and exchange data: where to be open, where to be strict, and where trust lies in these integrations. Familiarity with more recent primitives like workers/agent sandboxes and developer-tooling products, or with machine-to-machine authentication, is a bonus.
- Are biased toward speed, and would rather ship something imperfect (but secure) while learning than spend another month polishing a spec.
- Build with what you own, using the surfaces on your roadmap the way a Partner would: standing up an auth flow, calling the Data API, deploying a database, wiring Supabase into another product. You form opinions through first-hand use.
- Comfortable using AI tools to compress the slower parts of the role, like research, drafting, and synthesising feedback, so you spend more time on judgment calls.
- Work async by default. Supabase is fully remote, so you make decisions in writing and move work forward without meetings.
WHAT WE OFFER
- Fully Remote
We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.
- ESOP
Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together.
- Tech Allowance
Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.
- Health Benefits
Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us.
- Annual Off-Sites
Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year.
- Flexible Work
We operate asynchronously and trust you to manage your own time. You know what needs to be done and when.
- Professional Development
Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.
ABOUT THE TEAM
Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love.
- ~400 team members
- 60+ countries
- 20+ languages spoken
- Over $1B raised (including our $500M Series F)
- 540,000+ community members
We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.
Location: Limassol Cyprus
Workplace: OnSite
ABOUT SCOREWARRIOR
Scorewarrior is an independent game studio with a single mission: to excite and unite players all over the world. For over 10 years we've been pursuing it through Total Battle — a product we continue to actively and successfully grow. We're a team of 230 self-motivated professionals who know and love their craft, and we've recently begun an active company-wide adoption of AI tools.
Our home is a great office in Limassol, Cyprus. We offer a strong relocation package for you and your family, and we put real effort into making life on the island genuinely varied and interesting.
Location & format: Onsite — Limassol, Cyprus
Full relocation support provided
THE MISSION OF THIS ROLE
To build a viable, right-sized security system for Scorewarrior — one that protects what actually matters without slowing the company down — and to own it end-to-end: from diagnosis and strategy to implementation, team, and culture.
KEY OBJECTIVES
- Build a viable security system across the core domains: IAM (access management, MFA, SSO), infrastructure security (cloud, services, network), foundational SDLC/AppSec (security in the development process and in the code), and the processes and training around them. We expect you to start with a proper diagnosis of our landscape — and design the system for this company, rather than replaying a project from a previous job.
- Own security risks and speak both languages: business language with the CTO and CEO — risk, cost, and priorities; technology language with developers and infrastructure teams — architecture, trade-offs, and practical solutions.
- Make the right build-vs-buy calls: you know the security product market well enough to tell when a problem needs a tool, when a simpler method will do, and when the problem isn't in the tooling at all — it's in habits and heads.
- Introduce security as a partner, not a blocker: embed baseline practices so smoothly that teams barely notice them; for everything on top of that — inform, help when asked, and don't push when it's not the team's priority right now.
- Define how AI tools are used safely: own the policy and guardrails for the company-wide adoption of AI tools — what data can go where, and how teams can use them productively without creating new risks.
- Build the team: hire the first security engineers deliberately — knowing who you're hiring and why — and grow the function as the company's needs grow.
JOB REQUIREMENTS
- 8+ years of hands-on experience in security — real projects you designed, implemented, and stayed around long enough to see working. At the interview, we'll ask about specific cases, decisions, and their consequences — not about frameworks in theory.
- A background that gave you real systems experience. Two paths work equally well for us: a stable security engineering career from university onwards, or a transition into security from system administration, technical support, or network engineering. What matters is the result — you understand infrastructure and architecture from the inside, not from diagrams.
- Proven experience hiring and building a team — even a small one (2+ people). What matters is that it was deliberate: you can explain who you hired, why them, and how the team was structured around the actual problems.
- Experience building a security function, not just running one. You've taken security in an organization from an unclear state to a working system: assessed the landscape, set priorities, chose what to implement and what to skip — and can show what changed as a result.
- Strong awareness of the security product market. You can tell when a problem needs a tool, when a simpler method will do, and when the problem is in habits rather than tooling — and you have real examples of each call.
- A partner's operating style. You work through engineering teams, not above them: no separate authority demands, no blocking by default. Your practices get adopted because they make sense, not because they're mandatory.
- English and Russian language at least B2 level or higher.
NICE TO HAVE
- Experience in companies closest to our context: B2C products, SaaS platforms, gamedev, or mobile apps, with company size up to 1,000 people.
- Experience working with external security providers.
- Familiarity with common security frameworks.
- Experience being the first or founding security hire in a company.
WHO THIS ROLE IS NOT FOR
We believe in being upfront about fit. This role is probably not for you if:
- Your recent years were mostly about policies, reports, and committees — and real systems are something you haven't touched in a long time.
- Your default operating mode is hierarchy: separate authority, mandatory sign-offs, and blocking by default.
- You have a proven security project you replay at every company, regardless of its actual context and needs.
- Building and leading a team is something you'd rather avoid — hiring is a core part of this role, not an add-on.
WHAT SUCCESS LOOKS LIKE
In the first months, success means a clear diagnosis: you understand our landscape, know where the real risks are, and have a plan the CTO believes in — built for this company, not imported from a previous one.
Further on, success means the security system is quietly working: baseline practices are embedded so smoothly that teams barely notice them, access and infrastructure are demonstrably better protected, and teams come to security for help rather than hide from it.
And success means the function is growing deliberately: the first security engineers are hired, you can explain why each of them, and the team is structured around our actual problems — not around an org chart.
WHY JOIN SCOREWARRIOR?
- A Great Place to Work. 99% employee satisfaction, low turnover, and colleagues who genuinely enjoy collaborating.
- Live and work in sunny Cyprus. We’re an office-first team in Limassol with a modern seaside workspace, and full relocation and visa support for you and your family.
- Shape a global hit. We’re the only European studio with a 4X strategy title in the world’s top-10. Our top-50 mobile game has grown 25x in revenue and audience in the last five years.
- Grow fast in a company that’s already strong. We’re independent, financially rock-solid, and expanding at startup speed, and we have never had lay-offs.
- Work where ideas win. Flat structure, collective decision-making, and honest feedback create full transparency and help you grow fast.
- Earn industry-leading rewards. High salaries, a 13th month, performance bonuses, and extra rewards for long service, marriage, or welcoming a child, and lunch every day.
- Feel supported at every stage of life. Private family health insurance, plus a monthly allowance for children’s pre-school, school, and university education.
- Your growth is our priority. From specialized training and certifications to language courses and books, you’ll have everything you need to keep learning.
Location: Philippines; India; Mexico City, Mexico; Mexico; Cairo, Egypt; Brazil; Malaysia; Indonesia
Workplace: remote
About the Role
We are looking for a detail-oriented QC Reviewer to ensure the quality and consistency of robot manipulation video annotations produced by our annotation team. You'll review labeled video segments against a detailed style guide and reference examples, catch errors or inconsistencies, and provide clear, constructive feedback to annotators. This role is critical to maintaining the accuracy and reliability of training data used for robotics AI models.
What You'll Do
- Review completed annotations of robot manipulation videos across three levels of labeling detail (atomic motion, skill/subtask, task/goal).
- Cross-check annotator descriptions against all three camera views (overhead and both wrist-mounted cameras) to verify accuracy of described actions, object identification, and contact/grasp details.
- Verify full coverage of each video — confirm there are no gaps in labeling, including idle or pause moments.
- Check that descriptions accurately reflect what actually happened in the video, including failures, drops, or slipped grips — flagging any instances where outcomes were inaccurately described or "smoothed over."
- Evaluate annotations for adherence to the style guide: correct vocabulary usage, spatial/directional accuracy, consistent terminology for objects and actions, and appropriate language variation (avoiding repetitive phrasing).
- Identify recurring errors or patterns of confusion among annotators and report them to the team lead for calibration purposes.
- Provide specific, actionable feedback on rejected or revised annotations, referencing the style guide and reference examples.
- Participate in periodic calibration sessions with the team and client to align QC standards with evolving guidelines or edge-case resolutions.
- Maintain a QC log or tracking sheet documenting review outcomes, common error types, and annotator performance trends (as required by the project).
What We're Looking For
Required:
- Excellent written English and strong reading comprehension — you'll be evaluating precise, nuanced language choices, not just checking for typos.
- Exceptional attention to detail — able to catch subtle mismatches between video content and written description (e.g., a mislabeled grasp type, an incorrect object part, a missed failure event).
- Strong grasp of spatial/mechanical description (left/right, above/below, object parts like handles, lids, edges) to verify annotator accuracy.
- Ability to apply a detailed, structured style guide consistently and make sound judgment calls in ambiguous or edge-case scenarios.
- Comfort giving clear, specific, and constructive feedback to annotators (written feedback, not just pass/fail marks).
- Reliable, self-directed work habits, with the ability to work independently while meeting review turnaround expectations.
Nice to Have:
- Prior experience in a QC, editing, proofreading, or annotation review role.
- Experience with video annotation, data labeling, or transcription QA specifically.
- Familiarity with robotics terminology (grippers, end-effectors, manipulation).
- Experience with annotation tools such as Label Studio, including review/approval workflows.
#L1-CC1
Why Join Welo Data?
✨ Limitless Flexibility
Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.
🌱 Limitless Growth
Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.
🌍 Limitless Support
Be part of a global contributor community with responsive guidance and support.
💡 Real Impact
Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.
How to Apply?
Apply now by answering a few quick questions to join our database and become part of our growing community.
About Welo Data
Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.
At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.
Location: Remote - US
About the Job:
As a Staff Engineer on LaunchDarkly's product engineering team, you'll design and build the next generation platform that helps all LaunchDarkly users (human and agent) interact and use our services. Our product suite enables customers to run A/B tests, measure the impact of feature changes, and optimize experiences, and is integrated with a feature management and observability platform that processes trillions of evaluations daily.
This role sits at the forefront of our next generation of user interaction with our suite of products. We have a sophisticated set of users, and we have now learned through working with them and observing their usage patterns what a major redesign can do to help give them a more pleasant, productive, and efficient experience with our products.
You'll work across our entire product suite, focusing on understanding the key use cases, building the experiences and the supporting technical platform, and providing guidance and tools for other teams to be able to build better experiences more quickly.
Deep technical experience, a scientific mindset, and the ability to influence product and technical direction are critical. You'll lead by example: setting the bar for rigor, mentoring teammates, and owning systems end to end, including on-call.
Responsibilities:
Build and design our next generation of user experiences (human and agent) across the LaunchDarkly suite.
Collaborate with other product teams to ensure they have the tools and platform to build great user experiences.
Mentor engineers and raise the team's bar for technical rigor and system design.
Own operational excellence for the experience platform - monitoring, observability, incident response, on-call. Robust telemetry and alerting.
Qualifications:
10+ years building large-scale products with sophisticated audiences that are looking for help and leverage to do complex work.
Has built and designed the interfaces and supporting technology platforms in consumer-grade enterprise applications.
Technical leadership: setting direction, writing specs, influencing across teams.
BA/BS in mathematics, statistics, data science, or related field, or preferentially a graduate degree.
Plus: Go, Python, or similar (we use Go for services, Python for stats).
Plus: Event-driven architectures and large-scale data processing for high-volume event ingestion and analysis.
Plus: Cloud environments (AWS, GCP) and data stores (ClickHouse, Redis, DynamoDB, Kafka, etc.).
Plus: Experiment lifecycle tooling: flag–experiment integration, metric frameworks, automated monitoring.
Plus: Familiarity with the competitive landscape (Statsig, Eppo, GrowthBook, Optimizely).
Plus: Funnel analysis, causal inference, or Bayesian experimentation experience.
Pay:
Target pay ranges based on Geographic Zones* for Level 5:
Zone 1:
San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle
- $214,800 - $295,350**
Zone 2:
Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago -
$193,400 - $265,870**
Zone 3:
All other US locations -
$182,600 - $251,020**
LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location.
*Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas.
**Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary.
About LaunchDarkly:
Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations.
The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by:
Improving the velocity and stability of software releases, without the fear of end customer outages
Delivering targeted experiences by easily personalizing features to customer cohorts
Maximizing the business impact of every feature through the ability to experiment and optimize
Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types
Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability
At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at
hr@launchdarkly.com
.
Do you need a disability accommodation?
Fill out this
accommodations request form
and someone from our People Operations team will contact you for assistance.
Your safety matters to us.
To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @
launchdarkly.com
email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains. Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit
Careers | LaunchDarkly
directly for confirmed job openings and links to apply.
Please notify us of any fraudulent representation by sending an email to
careers@launchdarkly.com
.
Location: Remote - US
About the Job:
LaunchDarkly is seeking a Senior Backend Engineer to join our Experimentation team.
The Experimentation team is building one of the company’s most strategic product areas: a platform that helps leading engineering organizations move beyond intuition and make product decisions with real statistical confidence.
Sitting at the intersection of large-scale systems, data science, and user experience, the team is creating a best-in-class experimentation product that lets customers set up, manage, and analyze experiments with ease while still earning the trust of even the most rigorous data teams.
From warehouse-native analysis to experimentation workflows built on top of LaunchDarkly’s massive feature management scale, this team is tackling ambitious technical problems with visible customer impact and a clear opportunity to define the future of modern software experimentation.
As a Senior Backend Engineer, you will design and operate the services that power this product, contribute to technical direction, and help deliver new functionality to customers.
You will work closely with product managers, designers, data scientists, and engineers across LaunchDarkly to solve complex, data-intensive problems with meaningful customer impact.
Responsibilities:
Design, build, and operate scalable backend services and APIs that power LaunchDarkly’s Experimentation product.
Own backend components across their lifecycle, including technical discovery, design, implementation, testing, deployment, monitoring, incident response, and continuous improvement.
Build and evolve systems supporting experiment setup, event data ingestion, metric computation, results processing, and results presentation.
Contribute to architectural decisions and technical proposals, making thoughtful trade-offs around scalability, reliability, performance, cost, and maintainability.
Partner with product managers, designers, data scientists, and adjacent engineering teams to translate customer needs and product goals into reliable technical solutions.
Collaborate with Data Platform, Warehouse Integrations, SDK, and other teams on shared data flows, services, and cross-team dependencies.
Investigate complex production issues, identify root causes, and implement durable fixes.
Improve observability, testing, deployment safety, operational processes, and the reliability of the systems you build.
Participate in the team’s on-call rotation and take ownership of production systems in a you-build-it-you-run-it culture.
Support teammates through thoughtful code reviews, design reviews, knowledge sharing, and informal mentorship.
Qualifications:
6+ years of professional software engineering experience, including significant experience building and operating backend services in production.
Fluency using AI tools in software engineering workflows, including the judgment to direct, evaluate, and validate AI-generated output.
Experience designing and delivering customer-facing systems that are scalable, reliable, observable, and maintainable.
Strong programming experience in Go or a comparable backend language such as Python, Rust, or C++. Our team is using Go.
Experience with distributed systems, event-driven architectures, data pipelines, APIs, data modeling, or data-intensive services.
Familiarity with analytical, operational, or warehouse data stores such as ClickHouse, Postgres, Snowflake, Redshift, BigQuery, Databricks, or equivalent technologies.
Experience diagnosing production issues and improving system reliability through metrics, logs, traces, alerting, and other observability practices.
Experience working in a cloud environment and with infrastructure-as-code or equivalent deployment and operations tooling.
Ability to take an ambiguous problem from discovery and scoping through design, implementation, launch, and ongoing operation.
Clear, thoughtful communication and a collaborative approach to working with technical and non-technical partners.
Experience with experimentation, A/B testing, analytics, data platforms, or similarly data-intensive products.
Pay:
Target pay ranges based on Geographic Zones* for Level 4:
Zone 1:
San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle
- $191,800 - $263,670**
Zone 2:
Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago -
$172,600 - $237,270**
Zone 3:
All other US locations -
$163,000 - $224,070**
LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location.
*Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas.
**Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary.
About LaunchDarkly:
Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations.
The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by:
Improving the velocity and stability of software releases, without the fear of end customer outages
Delivering targeted experiences by easily personalizing features to customer cohorts
Maximizing the business impact of every feature through the ability to experiment and optimize
Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types
Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability
At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at
hr@launchdarkly.com
.
Do you need a disability accommodation?
Fill out this
accommodations request form
and someone from our People Operations team will contact you for assistance.
Your safety matters to us.
To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @
launchdarkly.com
email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains. Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit
Careers | LaunchDarkly
directly for confirmed job openings and links to apply.
Please notify us of any fraudulent representation by sending an email to
careers@launchdarkly.com
.
Location: Brazil; Poland; Argentina; Colombia
Workplace: Remote
Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes.
Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively.
We are looking for a Forward Deployed Engineer to work directly with clients on high ambiguity GenAI, agentic AI and AI-enabled workflow transformation initiatives. This role is designed for someone who can operate at the intersection of customer discovery, hands-on engineering, solution architecture, early delivery and production adoption.
You will work closely with client stakeholders and users to uncover the real operational problem, build thin end-to-end solutions with real systems and data, validate feasibility, shape the delivery path and stay involved through MVP or first production release to assure alignment with expected outcome.
ROLE MISSION
Your mission is to turn ambiguous customer problems into validated, production-grade AI solutions.
You will help Solvd move from “we can build this” to “we have proven this works in the customer’s real operating environment.” You will bridge presales, discovery, prototyping and delivery, while converting field learnings into solution blueprints and service accelerators.
YOUR RESPONSIBILITIES
- Lead discovery and solution shaping for GenAI / Agentic AI initiatives, working directly with client stakeholders, users and technical teams to understand workflows, systems, data and business constraints.
- Drive early-stage opportunities partnering with account executives, product analysts and technology SMEs to prototype, define scope, implementation roadmap and effort estimates.
- Translate ambiguous business problems into validated AI solution designs covering model strategy, data access, orchestration, tool use, integration patterns and production constraints.
- Build proof-of-concepts fast, prioritizing speed and impact over perfect design, technical spikes to validate architectural assumptions using real or representative systems and data.
- Evaluate and select appropriate AI frameworks, platforms and tools, including LLMs, vector databases, orchestration frameworks, cloud AI services and agentic tooling.
- Present, defend and explain complex AI, architecture and delivery concepts in simple, practical terms for both business and technical stakeholders.
- Stay involved through MVP or first production release to preserve context, support delivery teams and validate that the solution works in the customer’s operating environment.
- Define evaluation criteria for AI quality and business impact, including accuracy, groundedness, tool-call correctness, latency, cost, adoption and workflow effectiveness.
- Ensure proposed solutions adhere to security, compliance, Responsible AI, observability and production-readiness principles.
- Convert field learnings into reusable Solvd assets, including solution blueprints, evaluation frameworks and service accelerators.
OUR REQUIREMENTS
- A seasoned hands-on technical leader who has evolved from full-stack or server-side software engineering into the GenAI and agentic AI domain.
- Experienced in designing, prototyping and integrating systems that combine LLMs, agentic frameworks, enterprise data and business workflows.
- Proficient at combining established engineering patterns with emerging AI capabilities to deliver reliable, production-ready solutions.
- Skilled in guiding teams and clients through ambiguity - able to prototype rapidly, validate assumptions and converge toward delivery-ready designs.
- Comfortable engaging with executives, product teams, operational users and engineers alike, translating complex AI concepts into clear, actionable solution narratives.
- Pragmatic, curious, collaborative and obsessed with customer problem — equally focused on technical soundness, business value, user adoption and delivery readiness.
- 8+ years of experience in IT, including strong experience in software design and engineering.
- 2+ years of hands-on experience architecting or building GenAI or agentic AI systems using modern LLM ecosystems, such as OpenAI, Anthropic, Gemini, Azure AI or AWS Bedrock.
- Experience supporting presales solutioning, discovery, prototyping or early delivery for AI engagements.
- Strong understanding of LLM orchestration, retrieval-augmented generation, vector databases, prompt engineering and tool-calling patterns.
- Understanding of cost modeling for AI workloads, including token usage, inference scaling and hosting models.
- Proficiency with at least one major cloud platform, such as AWS, Azure or GCP, and its AI/ML service offerings.
- Demonstrated experience leading technical discussions with both engineering and non-technical stakeholders in presales, discovery or early delivery phases.
- Strong command of software engineering fundamentals, API design, integration patterns and production-readiness practices.
- Knowledge of modern software delivery practices, including CI/CD, containerization, observability and DevSecOps.
- Excellent communication, presentation and documentation skills, with the ability to articulate complex solutions clearly and persuasively.
OPTIONAL
- Prior experience as a Forward Deployed Engineer, Field Engineer, staff engineer, solution architect or technical product lead.
- Prior experience with traditional AI/ML systems, including model training, MLOps, data pipelines or feature stores.
- Familiarity with frameworks for agentic or multi-component AI pipelines.
- Exposure to Responsible AI, data privacy and governance frameworks.
- Hands-on experience with Databricks or Snowflake.
- Experience creating reusable solution blueprints, evaluation frameworks or technical accelerators.
- Industry-recognized cloud and AI certifications from Anthropic, AWS, Azure or Google.
When you join Solvd, you'll…
- Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation.
- Be part of a global team with equal opportunities for collaboration across continents and cultures.
- Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards.
Ready to make an impact?
If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together.
Solvd is an equal opportunity employer.
Responsibilities:
• Build AI agents from concept to production, including LangGraph workflows, RAG systems, prompts, tool/function calling, external integrations, and streaming LLM applications.
• Develop backend services with FastAPI/async, PostgreSQL/SQLAlchemy, Celery/Kafka, and write tests; assess quality and resolve production issues.
Requirements:
• Strong Python development and practical LangGraph experience.
• Experience building LLM applications and RAG systems with embeddings, vector search, relevance assessment, Qdrant, and hybrid/dense/sparse search.
• Git, REST, asynchronous backend development, and independent task completion.
• Familiarity with LiteLLM/vLLM and local models such as Qwen or Gemma.
Location: Remote: United States
Workplace: Remote
At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure.
Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users.
Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development.
We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you.
APPLYING TO RENDER
We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team.
We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed.
Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time.
ABOUT THE ROLE
Render is building a channel partnerships program from the ground up, and we're hiring our first Head of Revenue Partnerships to lead it — reporting to our VP of Revenue. You'll build Render's relationships with development agencies, PE firms, and — over time — systems integrators, to help Render customers who are migrating off competitive platforms, or who are pursuing new builds with Render.
WHAT YOU'LL DO
- Map partner types — agencies, PE firms, SIs — and determine which are the best fit for Render's product and customer base.
- Build relationships with execs at partner firms to understand their priorities, pricing, and delivery models.
- Develop commercial agreements with partners to co-sell Render alongside their own services, to both existing and net-new customers.
- Develop Render-specific narrative and enablement materials: decks, pilot frameworks, ROI overviews.
- Design co-marketing models with partners — customer dinners, digital campaigns, conferences, and joint events.
- Work with our technology partner team to build a co-sell motion for large & enterprise accounts.
- For partners with a portfolio model, like PE firms, design scaled activation programs — webinars, cohorts, office hours — that drive Render adoption across many portfolio companies at once, without requiring 1:1 touch on every account.
- Drive the creation of new pipeline for both Render and the partner, and own the path from first engagement to partner-qualified referral to closed revenue.
- Set up the operating rhythm of each partnership: regular engagement cadences, co-sell activity, and a clear, repeatable path from first call to referral.
- Partner closely with Render's internal Sales and Delivery/CS leaders to align on how reps and partners work together, keep deal registration and pipeline hygiene clean, and avoid channel conflict with internal teams
- Define and report on success metrics for the channel, evolving from early engagement signals toward pipeline and revenue impact as the program matures.
- Build out a team of partner managers over time, dedicated to each partner type.
WHAT WE'RE LOOKING FOR
- 10+ years of experience in B2B partnerships, sales, GM/general management, or solutions engineering roles, ideally at a B2B SaaS, Infra or PLG company.
- A generalist with strong seller DNA — someone who is outcomes-obsessed and comfortable being measured on pipeline creation, deal influence, and revenue, not just relationship-building.
- Comfort building a program without a playbook: you can hypothesize, run small experiments, and iterate quickly rather than waiting for a fully-formed process.
- Real experience working with solutions partners, agencies, or SIs — ideally in co-sell, referral, or partner-sourced revenue motions.
- A proven record of getting deals done — willingness to travel, get in front of partners in person, and find creative ways to keep partners engaged and motivated.
- Strong cross-functional operating skills — you'll work daily with Sales, Delivery/CS, Product Marketing, and Legal, and need to build trust and alignment across all of them.
- Comfort operating at the executive level, both with partner leadership and internally at Render.
- A technical enough orientation to credibly engage with developer-focused partners and speak to how AI is changing the questions partners are asking.
NICE-TO-HAVES
- Experience building or scaling a channel program at an infrastructure, dev-tools, or other PLG-motion company.
- Familiarity with partner/ecosystem tooling such as Crossbeam, or experience running account mapping and pipeline reviews jointly with external partners.
- Experience navigating the emerging AI SI / AI consulting partner category.
If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need.
BENEFITS
- 4 weeks of paid vacation.
- 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return.
- Long-term disability, life insurance, and 401K plans.
- 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well.
- Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc.
- Monthly cell phone and internet subsidy.
- Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders.
- Continuous learning benefits & related support.
This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization.
Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
We encourage all who are interested to apply. We can't wait to hear from you!
Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view
Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view
Location: New York, New York; San Francisco, California
Workplace: Hybrid
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
ABOUT THE ROLE:
Our Executive Operations team work closely with Notion’s leadership, serving as trusted advisors, collaborators, and problem-solvers. We focus on amplifying the impact of our executives by anticipating needs, streamlining operations, and building systems that keep leaders focused on the highest leverage work. We’re deeply connected to Notion’s mission and values, and we take pride in creating an environment of collaboration, clarity, and authenticity. Our team thrives on strong relationships, operational excellence, and a shared commitment to building tools that empower people to think and work together more effectively.
This role calls for someone who is proactive, adaptable, and deeply organized. Someone who can balance complex scheduling, drive cross-functional coordination, and bring clarity to fast moving priorities. This person will support 2 leaders in our Engineering and Product orgs. Our ideal candidate thrives in dynamic environments, operates independently, and consistently finds ways to improve workflows and communication. You’ll be a key partner in making sure our leaders and the company as a whole can move quickly while staying aligned.
This role is based in our New York office. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days.
WHAT YOU'LL ACHIEVE:
- Organizational support: Partner with Engineering and Product leaders on running the day-to-day of an efficient, high-velocity, and fun organization
- Calendar management: Prioritize and coordinate the teams’ operating calendar, ensuring time is spent in a way that's most leveraged to achieve our business objectives
- Meeting aficionado: Organize, attend, and track meeting notes and action items, with an eye on making every interaction productive and warm
- Travel planner: Flights, hotels, transportation, dining, etc. A strong attention to detail here is valued
- Expense management: Manages expense reports for the executives you support
- Culture carrier and community builder: Craft fun & engaging team offsite experiences, celebrate birthdays and anniversaries, new family members, and promotions to ensure employees continue to feel connected and recognized
SKILLS YOU'LL NEED TO BRING:
- 5+ years of Executive Operations experience at fast-growing companies, ideally with experience with technical teams.
- Organized and detail-oriented: Strong attention to detail, able to stay calm under pressure, a quick thinker, create order of out chaos
- Effective communicator: Ability to communicate the priorities of leadership within Notion, whether it is by written, verbal, or group communication
- Event planning: Experience organizing team events with hundreds of people, as well as multi-day events with smaller groups of people, such as an executive offsite
- EQ: Love connecting with employees, and have proven ability to build relationships and bring warmth to all levels of the organization
- Discreet: Demonstrated ability to maintain complete confidentiality on all business matters
NICE TO HAVES:
- You're a Notion evangelist! You love the product, and already use it in your daily life
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco and New York City, the estimated base salary range for this role is $165,000 - $190,000.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528.
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Задачи:
— Разработка backend на Python
— Создание устойчивой браузерной автоматизации
— Работа с пользовательскими сессиями, очередями и расписаниями
— Интеграция LLM и vision-моделей
— Реализация памяти, контекста и инструментов AI-агента
— Настройка логирования, мониторинга и восстановления после ошибок
— Защита пользовательских данных и секретов
— Участие в оценке архитектуры, сроков и технических рисков
Требования:
— Уверенное знание Python и asyncio
— Опыт разработки production-систем, а не только отдельных скриптов
— Опыт работы с Playwright или аналогами
— Умение создавать автоматизацию для меняющегося и нестабильного интерфейса
— Опыт реализации повторных попыток, переавторизации и восстановления после сбоев
— Понимание идемпотентности действий
— Опыт с долгоживущими фоновыми процессами, очередями, расписаниями и квотами
— Опыт разработки LLM-приложений: агентные циклы, function calling, память и контекст диалога
— Опыт работы с vision-моделями и контроля стоимости инференса
— Понимание принципов шифрования, хранения секретов, разграничения доступа и аудита
— Базовые навыки Docker, CI, логирования, метрик и алертов
Будет преимуществом:
— Опыт работы с прокси-инфраструктурой и сетевой изоляцией клиентов
— Опыт в антифрод-, платёжных или дейтинг-продуктах
— Понимание того, как внешние площадки реагируют на нетипичную активность
— Опыт продуктовой разработки в условиях нестабильного внешнего API или интерфейса
— Умение самостоятельно декомпозировать задачи и предлагать проверяемые решения
На первом этапе необходимо:
— Оценить реализуемость первой версии
— Предложить архитектуру и последовательность разработки
— Определить необходимые доступы, инфраструктуру и расходы
— Собрать прототип для тестирования на отдельном аккаунте
— Настроить фиксацию результатов, ошибок и причин остановки системы
Location: United Kingdom; Ireland; Poland
Workplace: Remote
As a Staff Software Engineer on Coder’s Agentic Engineering team, you’ll shape the systems behind our agentic development experience. You’ll work across the agent harness, integrations, and workflows that connect agents with real development environments.
You’ll stay hands-on while setting the team's technical direction. You’ll lead complex work, make sound architectural decisions, and help other engineers do their best work.
WHAT YOU’LL DO HERE
- Set technical direction across Coder’s agent harness, integrations, and workflows.
- Design and build production systems in Go, with work across React and TypeScript where needed.
- Evolve agent execution, tool use, context management, streaming, and long-running workflows.
- Extend our provider-agnostic architecture as models and capabilities change.
- Lead complex projects from early ambiguity through production.
- Raise the engineering bar through design reviews, code reviews, and technical mentorship.
- Partner with Product and Design on clear, useful agent experiences.
- Improve the reliability, performance, and operability of agentic systems.
WHAT WE’RE LOOKING FOR
- Deep experience building and operating production software systems.
- Strong hands-on experience with Go.
- Experience with React and TypeScript.
- Hands-on experience building systems around LLMs and agentic workflows.
- Experience with model APIs, tool calling, context management, or agent loops.
- Strong distributed systems knowledge.
- Working knowledge of AWS.
- A track record of setting technical direction without formal authority.
- Strong architectural judgment and comfort working through ambiguity.
- Someone who makes the engineers around them better.
OUR TECH STACK
- Backend: Go, Postgres
- Frontend: TypeScript, React
- Infrastructure: AWS, Kubernetes
- Observability: Prometheus, Grafana
- CI/CD: GitHub Actions
BONUS TACOS IF YOU HAVE
- (Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!)
- Experience building coding agents, developer tools, or cloud development environments.
- Experience with agent tools, or multi-agent systems.
- Experience building abstractions across multiple model providers.
- Deep experience with AWS, Kubernetes, Docker and Linux.
- Open-source contributions or experience working directly with customers.
Coder’s agentic architecture is provider-agnostic. The foundation is already built; this role helps decide how it evolves, where we invest, and how we keep it reliable as the space moves quickly.
ABOUT CODER
Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com.
INTERVIEW PROCESS
We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders.
AI USE DURING THE INTERVIEW PROCESS
As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process.
Not permitted: Using AI assistance during conversational interviews.
Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly.
OUR USE OF AI IN HIRING
We use AI tools to help manage our recruitment process efficiently and fairly. Specifically:
- Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first.
- Granola takes notes during our interview calls so our team can focus on the conversation with you.
All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models.
In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf.
If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.
CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER
We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.
Location: Dubai
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?
In this role as a Solutions Architect (SA) for Cohere in the UAE, you will play an instrumental part in growing Cohere’s business in both the UAE and the wider MENA region. You will partner with account executives, partners, and our executive leadership team to communicate and demonstrate the value of our technology to the market, and build on the success of our flagship customers, like STC.
SAs at Cohere sit at the cross-section of Forward Deployed Engineering and AI transformation. Our SAs embody the following traits:
- Technical experts in the field
- Trusted advisors to customers and colleagues
- Product evangelists of Cohere technology
- Thought leaders in pushing the frontiers of applied AI
Role Overview
Responsibilities include developing a deep understanding of customer problems, mapping them to Cohere solutions, and working closely with our partners as the trusted technical advisor who owns the technical relationship with our stakeholders. By leveraging your expertise, you will help to increase the adoption of Cohere products, both internally and externally, and will gather valuable insights and feedback from customers to help shape the future of our products.
In this dynamic and demanding role, you will need to be both a strategic thinker and a builder. You will personally lead the design and deployment of customer pilots that showcase the impact of our technology to strategic enterprise and government customers.
As the technical relationship owner, you will collaborate with stakeholders to understand their business objectives and translate those into our technical solutions. You will take ownership of the customer narrative, serving as the voice of the customer and acting as a liaison between the customer and our product team. Additionally, you will provide guidance on best practices for using Cohere, identify areas for improvement within the platform, and cultivate technical champions within customer organizations to drive adoption and gather feedback to enhance our products.
Key Responsibilities:
- Leading the technical talk track on customer calls.
- Designing enterprise architectures for North deployments.
- Deep dives on customer queries and Cohere technology.
- Facilitating customer evaluations and pilots.
- Developing and documenting processes to enable the solutions architect team and adjacent teams to scale effectively within Cohere.
- Collaborating with the Product and Engineering teams to ensure our offering matches the customers’ needs.
- Working closely with our partners to develop a strategy for enabling and accelerating their customers.
Qualifications
- 3+ years of customer-facing technical pre/post sales Solutions Architect/Solutions Engineer/Sales Engineer/Digital Strategy Consultant (or similar) experience.
- A passion for Generative AI, and an understanding of strengths and weaknesses of Generative LLMs and AI technologies.
- Familiarity with foundational ML concepts (training, evaluation, etc.)
- Excellent communication skills - you can toggle seamlessly between presenting to CEOs, and getting in the weeds with technical audiences.
- Thrives within ambiguous and uncharted environments
- You can identify and implement high-impact processes in unstructured environments.
- Comfortable working with Python and Assistive Coding tools
- Preferred: 2+ years architecting, deploying or consulting on NLP/AI/LLM Solutions
- Must have native-level Arabic
- Must be based in Dubai, UAE
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.
ГибридАлматы
ОфисAtlanta, GA
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Все вакансии в одном месте — страница 41 · Job Hunters