Location: Global (Remote)
Workplace: Remote
Rwazi is a global consumer intelligence platform. Our go-to-market engine still runs on too many manual workflows — prospecting, enrichment, campaign ops, content production, reporting. Your job is to absorb those workflows into AI systems that run themselves.
You will not write strategy decks. You will ship working tools, weekly, that remove manual GTM work and make pipeline move faster.
WHAT YOU'LL BUILD
- Outbound engine: lead sourcing → enrichment → scoring → personalized sequencing, wired into our CRM. Agentic where possible, human-in-the-loop where it matters.
- Inbound & lifecycle flows: lead routing, qualification, nurture triggers, activation and re-engagement automations.
- Content pipeline: AI-assisted production for outbound copy, landing pages, social, and campaign assets — with QA gates so nothing off-brand ships.
- GTM data layer: dashboards and reporting that show pipeline, conversion, and campaign performance without anyone assembling them by hand.
- Temporary fixes: when a GTM workflow breaks or a tool gap appears, you build the patch fast rather than waiting on a vendor.
FIRST 90 DAYS (HOW YOU'LL BE EVALUATED)
- Day 7: first shippable artifact live — a working flow, not a plan.
- Day 30: 2–3 GTM automations in production; outbound engine in alpha.
- Day 60: measurable scope absorption — which manual GTM workflows are you removing per week?
- Day 90: trial decision, based on shipped output and hours-saved/pipeline-moved numbers.
YOU
- Ship fast with LLM APIs (Claude, GPT) — prompt engineering, agent frameworks, RAG where useful
- Strong Python and/or TypeScript; comfortable with scraping, enrichment, and API integrations
- Hands-on with the modern GTM stack: CRM (HubSpot/Salesforce-type), enrichment (Clay/Apollo-type), orchestration (n8n/Make/Zapier), email infra
- Have built and can demo autonomous or semi-autonomous workflows that ran in production — links or Looms beat resumes
- Self-directed. You find the manual workflow, propose the fix, and ship it. Raising a problem without a proposed fix is not how we work.
- Available with meaningful US-timezone overlap
ENGAGEMENT
- Contractor
- 25–40 hrs/week
- 3-month mutual trial; rate and scope re-evaluated at Day 90
- Reports into Marketing/GTM leadership (not Engineering)
TO APPLY
1. Link the best AI-powered GTM or marketing automation you've built. What did it replace, and what number did it move?
2. Which part of a typical outbound flow would you automate first, and how?
3. Your hourly rate and weekly availability (US-overlap hours).
Applications without a shipped-work link will not be reviewed.
УдалённоAvailable with meaningful US-timezone overlap
Требования:
— Senior+ уровень: 4+ года практического опыта работы над проектами в области AI/ML или разговорного AI, предпочтительно в финтехе, телекоммуникациях или ритейле
— Подтвержденный опыт в prompt engineering: написание и итерация промптов для LLM для реальных продуктовых кейсов
— Опыт проектирования сквозных разговорных сценариев для чат-ботов или AI-агентов, включая распознавание намерений, диалоговые деревья, обработку fallback, копирайтинг для потребителей
— Опыт тестирования промптов / QA и работы с инструментами AI Observability (например, LangSmith)
— Опыт итерации промптов и проведения оценок (prompt engineering + тест-кейсы + human-in-the-loop)
Желательно:
— Опыт в UX-дизайне или UX-исследованиях
— Опыт с AI Voice
— Опыт в бизнес-анализе процессов: способность переводить сложные рабочие процессы в четкие, структурированные диалоговые сценарии
Задачи:
— Анализировать работу бизнес-процессов на стороне клиента: изучать внутренние инструкции для сотрудников, а также реальные записи и транскрипты разговоров
— На основе анализа проектировать скрипты и промпты для AI-агентов с целью автоматизации процессов
— Создавать обучающие и тестовые наборы данных
— Разрабатывать и применять методологии оценки качества работы AI-агентов и использовать их для улучшения агентов
Условия:
— Команда создала отмеченные наградами AI-продукты для технологических корпораций: устройства, голосовые ассистенты, продукты, реально используемые в мире
— Современный стек технологий: речевые технологии, NLP, генеративный AI (LLMs, диффузионные модели), голосовая агентская архитектура с приоритетом конфиденциальности и локальным развертыванием
— Высокий инженерный уровень и реальная ответственность за продукт, работающий в продакшене
— Быстрый карьерный рост благодаря старшей команде и большому количеству реальных задач
— Стартап-ритм с корпоративной стабильностью: реальные клиенты, реальный доход, отсутствие бюрократии
— Полностью удаленная работа по всей Европе
— 21 день отпуска + государственные праздники + 5 больничных дней
— Частные уроки английского через Preply
УдалённоseniorГеография найма не уточнена, офис: Astana
Location: Germany; France
Workplace: Remote
ABOUT ELEVENLABS
ElevenLabs is an AI research and product company transforming how we interact with technology.
We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always.
We have expanded from voice into three main platforms:
- ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.
- ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.
- ElevenAPI gives developers access to our leading AI audio foundational models.
Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.
HOW WE WORK
- High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
- Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.
- AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.
- Excellence everywhere: Everything we do should match the quality of our AI models.
- Global team: We prioritize your talent, not your location.
WHAT WE OFFER
- Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.
- Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.
- Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.
- Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.
- Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún
- Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.
About the Role
As the Account Management Lead you'll lead a team of experienced Account Managers across the Western Europe region. You'll balance people leadership, strategic direction, and hands-on customer impact - driving excellence in post-sales outcomes and ensuring your team consistently delivers measurable value to customers and the business.
You will:
- Lead, coach, and develop a high-performing AM team, owning team and regional NRR performance, customer retention, and expansion goals.
- Act as a player-coach: directly manage priority accounts, join key customer conversations, and model best-in-class success practices.
- Lead by example in complex post-sales and renewal cycles, unblocking issues, driving adoption, and identifying expansion opportunities.
- Set strategic direction for the team, aligning account manager initiatives with company goals and market trends.
- Monitor and optimize delivery quality across all accounts, ensuring consistency, excellence, and predictability in customer outcomes, implementing scalable processes that improve accuracy, visibility, and operational efficiency.
- Design and implement repeatable playbooks for renewals, upsells, and adoption; automate workflows and tools to scale team impact.
- Own the ongoing development and optimization of best practices for Commercial and Scale playbooks, ensuring consistent execution, measurable impact, and continuous refinement as the business evolves.
- Build and maintain executive-level relationships across priority accounts, serving as a strategic advisor and customer advocate in internal and external forums.
- Represent the voice of the customer in leadership discussions, influencing roadmap, operations, and revenue strategies.
- Partner with Europe GTM & cross functional leadership to align organizational objectives, drive cross-functional initiatives, and ensure cohesive execution across customer success, sales, and operations teams.
Requirements
• 10+ years of experience in account management or post-sales roles within SaaS, ideally some of this within Western Europe accounts.
• Demonstrated technical acumen with the ability to upskill and enable the team — fostering confidence in navigating product capabilities, integrations, and data insights to strengthen customer outcomes.
• 5+ years of direct people leadership experience — managing AMs, driving team quota, and developing talent through coaching and enablement. Passion for developing people and building a high-performance, feedback-driven culture grounded in accountability, learning, and customer impact.
• Strong player-coach mindset: comfortable managing key accounts directly while leading others to excel in their own portfolios.
• Demonstrated success in exceeding renewal, expansion, and NRR goals through effective customer engagement and strategic account management.
• Expertise in CS methodologies and best practices (e.g. success planning, adoption frameworks, ROI storytelling, executive alignment).
• Strong analytical and operational skills: adept at using data to identify performance trends, optimise workflows, and forecast outcomes.
• Strong builder mindset - you thrive in building from scratch, redefining processes and playbooks, and operating with an AI-first mindset
• Bonus: Hands-on with tools (Salesforce, Gong, Sigma, Pylon) and capable of improving data quality, visibility, and usage insights across the team.
• Proficiency in German or French is required.
This role is remote-first, so it can be executed from anywhere within Europe. If you prefer, you can work from our offices in London, Dublin or Paris.
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Location: London, UK
Workplace: Hybrid
Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance.
About this role:
We're looking for a Full Stack Developer (main back end focus) to work on our advertising analytics platform. We gather and process BIG amounts of data and deliver meaningful insights to our customers. We have browser extensions, databases, panelists, servers, so many servers, and a great hybrid culture with coworkers locally and across the globe.
There's a good mix of extremely difficult problems, impossible problems, easy problems, bugs, performance issues, and the occasional thing that's a joy to work on – join us!
What you will do in a typical day:
- Tackle interesting performance and scalability challenges.
- Meticulously refactor bunches of reports decimating code size and run time while preserving results.
- Intelligently manage tech debt while simultaneously delivering new features for the business.
- Code in SQL and C# (and occasionally js) in a mixed environment (Windows and Linux but mostly Windows) utilizing AWS, SQL Server, Redshift, Mongo, EntityFramework and ASP.NET http://asp.net/ Core.
- Participate in a Kanban/Devops dev process with fluid requirements, weekly scrums, and potentially be on-call w/Pagerduty
- Be a proponent for continuous improvement, architecture, clean code, and good systems design
- We use Github for source control and Jira for project management
- We review PRs! (usually) and ship often.
What you can bring:
- Experienced C# developer.
- Be able to code in C#, SQL and occasionally in Ruby.
- Big Plus: Comfortable reading and modifying Javascript/React.
- Friendly - You will be working in cross function with a lot of cool people!
- Love for data - Our platform provides data intelligence for the digital economy!
Our Engineering Culture
We believe that "Simplicity is a prerequisite for reliability." We are looking for engineers who align with our core values:
- Simplicity: We avoid over-engineering. We prefer the tools we already have and the most straightforward solutions over "shiny new toys."
- Quality: We write code that is a pleasure to read because we know code is written once but read many times. We don't cut corners, and we polish to a high level before shipping.
- Extreme Ownership: We don't just do the minimum. We expect you to understand the "why" behind your work and own the ultimate goal of fixing problems at their root cause, avoiding temporary band-aids.
- Prioritization: We focus relentlessly on what is important, not just what is urgent.
Read more about some of our Technical challenges here (written by members of our engineering team):
https://sensortower.com/blog/speeding-up-the-backend-with-graph-theory
https://sensortower.com/blog/how-we-scaled-to-thousands-of-sidekiq-workers
Fraud warning:
It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying.
To all recruitment agencies:
Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Location: Krakow, Poland
Workplace: Remote
Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance.
About this role:
We're looking for a Full Stack Developer (main back end focus) to work on our advertising analytics platform. We gather and process BIG amounts of data and deliver meaningful insights to our customers. We have browser extensions, databases, panelists, servers, so many servers, and a great hybrid culture with coworkers locally and across the globe.
There's a good mix of extremely difficult problems, impossible problems, easy problems, bugs, performance issues, and the occasional thing that's a joy to work on – join us!
What you will do in a typical day:
- Tackle interesting performance and scalability challenges.
- Meticulously refactor bunches of reports decimating code size and run time while preserving results.
- Intelligently manage tech debt while simultaneously delivering new features for the business.
- Code in SQL and C# (and occasionally js) in a mixed environment (Windows and Linux but mostly Windows) utilizing AWS, SQL Server, Redshift, Mongo, EntityFramework and ASP.NET http://asp.net/ Core.
- Participate in a Kanban/Devops dev process with fluid requirements, weekly scrums, and potentially be on-call w/Pagerduty
- Be a proponent for continuous improvement, architecture, clean code, and good systems design
- We use Github for source control and Jira for project management
- We review PRs! (usually) and ship often.
What you can bring:
- Experienced C# developer.
- Be able to code in C#, SQL and occasionally in Ruby.
- Big Plus: Comfortable reading and modifying Javascript/React.
- Friendly - You will be working in cross function with a lot of cool people!
- Love for data - Our platform provides data intelligence for the digital economy!
Our Engineering Culture
We believe that "Simplicity is a prerequisite for reliability." We are looking for engineers who align with our core values:
- Simplicity: We avoid over-engineering. We prefer the tools we already have and the most straightforward solutions over "shiny new toys."
- Quality: We write code that is a pleasure to read because we know code is written once but read many times. We don't cut corners, and we polish to a high level before shipping.
- Extreme Ownership: We don't just do the minimum. We expect you to understand the "why" behind your work and own the ultimate goal of fixing problems at their root cause, avoiding temporary band-aids.
- Prioritization: We focus relentlessly on what is important, not just what is urgent.
Read more about some of our Technical challenges here (written by members of our engineering team):
https://sensortower.com/blog/speeding-up-the-backend-with-graph-theory
https://sensortower.com/blog/how-we-scaled-to-thousands-of-sidekiq-workers
Fraud warning:
It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying.
To all recruitment agencies:
Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Location: Warsaw, Poland
Workplace: Remote
Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance.
About this role:
We're looking for a Full Stack Developer (main back end focus) to work on our advertising analytics platform. We gather and process BIG amounts of data and deliver meaningful insights to our customers. We have browser extensions, databases, panelists, servers, so many servers, and a great hybrid culture with coworkers locally and across the globe.
There's a good mix of extremely difficult problems, impossible problems, easy problems, bugs, performance issues, and the occasional thing that's a joy to work on – join us!
What you will do in a typical day:
- Tackle interesting performance and scalability challenges.
- Meticulously refactor bunches of reports decimating code size and run time while preserving results.
- Intelligently manage tech debt while simultaneously delivering new features for the business.
- Code in SQL and C# (and occasionally js) in a mixed environment (Windows and Linux but mostly Windows) utilizing AWS, SQL Server, Redshift, Mongo, EntityFramework and ASP.NET http://asp.net/ Core.
- Participate in a Kanban/Devops dev process with fluid requirements, weekly scrums, and potentially be on-call w/Pagerduty
- Be a proponent for continuous improvement, architecture, clean code, and good systems design
- We use Github for source control and Jira for project management
- We review PRs! (usually) and ship often.
What you can bring:
- Experienced C# developer.
- Be able to code in C#, SQL and occasionally in Ruby.
- Big Plus: Comfortable reading and modifying Javascript/React.
- Friendly - You will be working in cross function with a lot of cool people!
- Love for data - Our platform provides data intelligence for the digital economy!
Our Engineering Culture
We believe that "Simplicity is a prerequisite for reliability." We are looking for engineers who align with our core values:
- Simplicity: We avoid over-engineering. We prefer the tools we already have and the most straightforward solutions over "shiny new toys."
- Quality: We write code that is a pleasure to read because we know code is written once but read many times. We don't cut corners, and we polish to a high level before shipping.
- Extreme Ownership: We don't just do the minimum. We expect you to understand the "why" behind your work and own the ultimate goal of fixing problems at their root cause, avoiding temporary band-aids.
- Prioritization: We focus relentlessly on what is important, not just what is urgent.
Read more about some of our Technical challenges here (written by members of our engineering team):
https://sensortower.com/blog/speeding-up-the-backend-with-graph-theory
https://sensortower.com/blog/how-we-scaled-to-thousands-of-sidekiq-workers
Fraud warning:
It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying.
To all recruitment agencies:
Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Location: Lisbon, Portugal
Workplace: Remote
Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance.
About this role:
We're looking for a Full Stack Developer (main back end focus) to work on our advertising analytics platform. We gather and process BIG amounts of data and deliver meaningful insights to our customers. We have browser extensions, databases, panelists, servers, so many servers, and a great hybrid culture with coworkers locally and across the globe.
There's a good mix of extremely difficult problems, impossible problems, easy problems, bugs, performance issues, and the occasional thing that's a joy to work on – join us!
What you will do in a typical day:
- Tackle interesting performance and scalability challenges.
- Meticulously refactor bunches of reports decimating code size and run time while preserving results.
- Intelligently manage tech debt while simultaneously delivering new features for the business.
- Code in SQL and C# (and occasionally js) in a mixed environment (Windows and Linux but mostly Windows) utilizing AWS, SQL Server, Redshift, Mongo, EntityFramework and ASP.NET http://asp.net/ Core.
- Participate in a Kanban/Devops dev process with fluid requirements, weekly scrums, and potentially be on-call w/Pagerduty
- Be a proponent for continuous improvement, architecture, clean code, and good systems design
- We use Github for source control and Jira for project management
- We review PRs! (usually) and ship often.
What you can bring:
- Experienced C# developer.
- Be able to code in C#, SQL and occasionally in Ruby.
- Big Plus: Comfortable reading and modifying Javascript/React.
- Friendly - You will be working in cross function with a lot of cool people!
- Love for data - Our platform provides data intelligence for the digital economy!
Our Engineering Culture
We believe that "Simplicity is a prerequisite for reliability." We are looking for engineers who align with our core values:
- Simplicity: We avoid over-engineering. We prefer the tools we already have and the most straightforward solutions over "shiny new toys."
- Quality: We write code that is a pleasure to read because we know code is written once but read many times. We don't cut corners, and we polish to a high level before shipping.
- Extreme Ownership: We don't just do the minimum. We expect you to understand the "why" behind your work and own the ultimate goal of fixing problems at their root cause, avoiding temporary band-aids.
- Prioritization: We focus relentlessly on what is important, not just what is urgent.
Read more about some of our Technical challenges here (written by members of our engineering team):
https://sensortower.com/blog/speeding-up-the-backend-with-graph-theory
https://sensortower.com/blog/how-we-scaled-to-thousands-of-sidekiq-workers
Fraud warning:
It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying.
To all recruitment agencies:
Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Location: Singapore
Our formula for success is to hire exceptional people, encourage their ideas and reward their results.
As a
Quantitative Researcher
, you will develop mathematical models using advanced statistical learning methods to build automated trading strategies across multiple asset classes. Our research team collaborates on idea generation and strategy development, while encouraging independent exploration and original approaches. You will have access to clean data integrated with compute resources and the support of experienced researchers, traders and dedicated software developers. You will conduct quantitative analysis of market data to uncover relationships and identify historical trends. We do not require familiarity with or prior experience in financial markets for this role. We will give you the training you need to be successful.
How you will make an impact
Extract predictive signals from financial data through both traditional statistical analysis methods and cutting edge machine learning techniques
Assist software developers to translate research strategies into production software
Optimize the order execution and risk management of our trading system
Create robust solutions to problems presented in the trading environment
Formulate and apply mathematical modeling techniques to enhance existing trading strategies and perform innovative new research with the goal of identifying and capturing trading opportunities
Automate human-decision based trading strategies; prototype algorithmic trades from trading ideas
You will be right at home if you have…
A degree in a technical discipline with a focus on statistics, machine learning, signal processing, optimization and control graduating between
December 2026
and
August 2027
(Bachelor’s, Master’s, PhD)
A curiosity for model development and experience handling large data sets
Expertise in programming using Python, R, MATLAB, or C++ for conducting research
Can advocate for your beliefs in a concise and effective way with the team
Significant hands-on experience applying machine learning algorithms to real world problems
Strong problem-solving and statistics skills
The proactive ability to take the lead on assignments and deliver practical research results in a timely manner
DRW
is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.
Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.
For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at
https://drw.com/privacy-notice
.
California residents, please review the California Privacy Notice for information about certain legal rights at
https://drw.com/california-privacy-notice
.
#LI-LT2
Location: Warsaw, Poland; Madrid, Spain; Tbilisi, Georgia; Yerevan, Armenia; Bratislava, Slovakia; Podgorica, Montenegro
CloudLinux / TuxCare is a remote-first infrastructure and security company. More than 300 engineers build and operate products used by hosting providers, enterprises, and internal service teams worldwide. Our Infrastructure Department runs the platforms behind CloudLinux OS, Imunify, KernelCare, TuxCare ELS, and our engineering systems.
We are hiring a
Senior Database Reliability Engineer
to join the Infrastructure DBA cell. This is a hands-on production ownership role, not a narrow ticket-processing DBA position. You will keep critical database services reliable, automate repeated work, support engineering teams, and reduce single-person dependency in our PostgreSQL, ClickHouse, MongoDB, and Redis operations.
PostgreSQL is the main requirement. ClickHouse experience is a strong plus, but it is not a day-one blocker. We need a senior engineer with enough database, Linux, automation, and incident-response depth to learn our ClickHouse environment quickly and operate it safely.
Your Responsibilities:
Own production PostgreSQL reliability: HA design, Patroni, PgBouncer, replication, failover, upgrades, vacuum/bloat control, query tuning, locks, indexes, capacity, backups, PITR, and restore validation.
Improve disaster recovery and operational evidence: tested restores, documented recovery paths, measurable RTO/RPO targets, runbooks, and safe maintenance plans.
Support the wider database estate: ClickHouse, MongoDB, and Redis. You will troubleshoot incidents, review access and data-safety changes, improve monitoring, and learn the production ClickHouse patterns already in use.
Automate DBA workflows with Ansible, Terraform/OpenTofu, GitLab CI/CD, scripts, and reproducible runbooks for provisioning, grants, backups, restores, health checks, and ownership metadata.
Help build DBaaS-style self-service capabilities so engineering teams can request databases, access, credentials, and operational checks with less manual DBA intervention.
Improve observability and incident response through Grafana, metrics, logs, SLOs, alert rules, Opsgenie routing, and clear communication during production issues.
What Success Looks Like:
PostgreSQL clusters have tested backup and restore paths, useful dashboards, clear ownership, and documented failover procedures.
Repeated DBA tickets become automation or self-service workflows.
ClickHouse operational knowledge is no longer a single-person dependency.
Database incidents have owners, runbooks, evidence, and measurable recovery paths.
Product and engineering teams get database help faster without sacrificing safety, auditability, or reliability.
Why CloudLinux?
You will work on real production infrastructure used across CloudLinux and TuxCare products.
You will have a direct impact on reliability, incident response, developer experience, and operational resilience.
You will also work in an AI-assisted engineering culture where automation, documentation, Claude, Codex, and careful human verification are part of the daily operating model.
Requirements
What We Expect From You:
Deep hands-on PostgreSQL experience in business-critical production environments, typically 5+ years or equivalent depth.
Strong understanding of PostgreSQL internals and operations: MVCC, WAL, transactions, locks, indexes, query planning, replication, autovacuum, bloat, major upgrades, backups, PITR, and restore testing.
Proven experience with highly available databases and the ability to reason about quorum, split-brain risk, failover, rollback, and recovery.
MongoDB replica sets and Percona Backup for MongoDB.
Strong Linux and infrastructure fundamentals: systemd, networking, storage, filesystems, CPU/memory/disk bottlenecks, TLS, DNS, firewalls, and root-cause troubleshooting.
Automation skills with Ansible and scripting. Terraform/OpenTofu, GitLab CI/CD, and merge-request based delivery are strong advantages.
Ability to support more than one database engine. You do not need to be a ClickHouse expert on day one, but you must be ready to learn it quickly and take responsibility for it.
Practical use of AI engineering assistants such as Claude and Codex. We expect you to use them to improve speed and quality, while personally verifying generated SQL, commands, scripts, and operational conclusions.
English - upper-intermediate or higher - to ensure clear communication of progress within the teams.
Nice to Have:
ClickHouse operations: replication, Keeper/ZooKeeper, MergeTree engines, distributed DDL, grants, row policies, backups, query troubleshooting, and cluster recovery.
Redis/Sentinel and broker/cache failure modes.
Database observability, SLOs, golden signals, alert tuning, and executable incident runbooks.
Building internal platforms, self-service portals, or DBaaS workflows for engineering teams.
Benefits
What's in it for you?
A focus on professional development.
Interesting and challenging projects.
Fully remote work with flexible working hours, which allows you to schedule your day and work from any location worldwide.
Paid 24 days of vacation per year, 10 days of national holidays, and unlimited sick leaves.
Compensation for private medical insurance.
Co-working and gym/sports reimbursement.
Budget for education.
The opportunity to receive a reward for the most innovative idea that the company can patent.
By applying for this position, you consent to the processing of your personal data as described in our Privacy Policy (
https://cloudlinux.com/candidate-privacy-notice
), which provides detailed information on how we maintain and handle your data.
Location: Astana, Kazakhstan
Are you a Physical Therapist or Strength and Conditioning coach thinking about a career change? Are you passionate about how technology can help progress your profession? If you have previous experience as a Physical Therapist or Strength and Conditioning Coach, a role as a Business Development Manager at VALD could be the change you need!
About VALD
VALD is the world leader in technology for the allied health industry, providing innovative human-measurement technology to 10,000 clients in over 150 countries.
If you have a favorite team in the NBA, EPL, or NFL, there's a good chance they use VALD Technologies.
Since its humble beginnings in 2015 in Brisbane, Australia, VALD has grown to a team of over 300 team members in over 30 countries, with five offices across four continents.
Driven by a multidisciplinary team of researchers, clinicians, sports scientists, designers, developers and engineers, VALD's suite of systems offer unparalleled insight into human movement, performance, injury risk and rehabilitation.
About the VALD Business Development Team
The Business Development team are on the front line for VALD. As part of a truly global team, you will attend conferences and perform product demonstrations (both in-person and teleconferences) in clinical, performance, and tactical settings. You'll set up and oversee product trials, nurture new leads and look for new opportunities for VALD.
With an education-based approach to sales, as a Business Development Manager, you must have an intimate knowledge of VALD's systems. You'll leverage your industry expertise and product knowledge to demonstrate how our clients can get the most out of our systems to provide value to their business.
Is this you?
Prior experience working in a clinical or allied health setting, such as a physiotherapist/physical therapist or similar role.
Excellent communication and interpersonal skills via various mediums, including team calls, in-person interaction and sales pipeline reporting.
Be comfortable with targeting new clients.
Willing and able to travel for client meetings and represent VALD at industry conferences and events.
Confidence to persuasively demonstrate VALD systems and communicate product and industry knowledge to clients.
A self-starter who holds themselves accountable for reaching sales targets.
A desire to work with and nurture existing distributor relationships.
Prior experience using CRMs and the Microsoft Office 365 suite of products.
You reside in Astana.
You speak Kazakh and English (please submit your application in English).
It’s not expected that any single candidate would check every box here. If you meet just some of the requirements, but not all, we encourage you to submit your application!
We strongly encourage you to apply if you’re at all interested. Show us how your experience could improve our team and widen our perspective. Our selection process includes assessing the requirements of the role vs the individual, and how well we think they will work in the VALD team.
Why VALD?
An opportunity to travel the world utilizing your health and performance experience is just the beginning when you join VALD. Recently named in LinkedIn's Top 25 Startups for 2022 in Australia, VALD's best asset is not our technology but our people and culture.
We have a range of benefits we offer to our team, such as:
Industry-leading compensation with healthy performance-based incentives.
The opportunity to work in a company that is redefining allied healthcare.
Learn from a range of high-performing individuals and teams across various disciplines.
Be part of a down-to-earth, inclusive and vibrant team.
Regular travel opportunities to get the entire VALD team together for your ongoing development.
The latest equipment and remote setup to perform at your best.
VALD Diversity & Inclusion Commitment
VALD’s best asset is not our technology but our people and culture. A culture of inclusion and diversity is critical to our business. We know diverse teams perform better. It's not a separate initiative – we aim to embed inclusion and diversity in everything we do. We are committed to fostering an inclusive work environment and embracing diversity, including gender, nationality, disability, age, marital/parental status, ethnicity, gender identity, socioeconomic background and sexual orientation. We welcome applications from people from all backgrounds.
Background check
Successful applicants will be subject to background checks (including identity and criminal record checks). It will be a condition of employment that the background checks return acceptable results.
Location: Belgium
Are you a health professional thinking about a career change? Are you passionate about how technology can help progress your profession? If you have an allied health background or previous experience as a Physical Therapist, a role as a Business Development Manager at VALD could be the change you need!
About VALD
VALD is the world leader in technology for the allied health industry, providing innovative human-measurement technology to over 10,000 clients in over 150 countries.
If you have a favorite team in the NBA, EPL, or NFL, there's a good chance they use VALD Technologies.
Since its humble beginnings in 2015 in Brisbane, Australia, VALD has grown to a team of over 300 team members in over 30 countries, with five offices across four continents.
Driven by a multidisciplinary team of researchers, clinicians, sports scientists, designers, developers and engineers, VALD's suite of systems offer unparalleled insight into human movement, performance, injury risk and rehabilitation.
About the VALD Business Development Team
The Business Development team are on the front line for VALD. As part of a truly global team, you will attend conferences and perform product demonstrations (both in-person and teleconferences) in clinical, performance, and tactical settings. You'll set up and oversee product trials, nurture new leads and look for new opportunities for VALD.
With an education-based approach to sales, as a Business Development Manager, you must have an intimate knowledge of VALD's systems. You'll leverage your industry expertise and product knowledge to demonstrate how our clients can get the most out of our systems to provide value to their business.
Is this you?
Prior experience working in a clinical or allied health setting, such as a physiotherapist/physical therapist or similar role.
Excellent communication and interpersonal skills via various mediums, including team calls, in-person interaction and sales pipeline reporting.
Be comfortable with targeting new clients.
Willing and able to travel for client meetings and represent VALD at industry conferences and events.
Confidence to persuasively demonstrate VALD systems and communicate product and industry knowledge to clients.
A self-starter who holds themselves accountable for reaching sales targets.
A desire to work with and nurture existing distributor relationships.
Prior experience using CRMs and the Microsoft Office 365 suite of products.
You reside in Belgium.
You speak Dutch and/or French and English (please submit your application in English).
It’s not expected that any single candidate would check every box here. If you meet just some of the requirements, but not all, we encourage you to submit your application!
We strongly encourage you to apply if you’re at all interested. Show us how your experience could improve our team and widen our perspective. Our selection process includes assessing the requirements of the role vs the individual, and how well we think they will work in the VALD team.
Why VALD?
An opportunity to travel the world utilizing your health and performance experience is just the beginning when you join VALD. Recently named in LinkedIn's Top 25 Startups for 2022 in Australia, VALD's best asset is not our technology but our people and culture.
We have a range of benefits we offer to our team, such as:
Industry-leading compensation with healthy performance-based incentives.
The opportunity to work in a company that is redefining allied healthcare.
Learn from a range of high-performing individuals and teams across various disciplines.
Be part of a down-to-earth, inclusive and vibrant team.
Regular travel opportunities to get the entire VALD team together for your ongoing development.
The latest equipment and remote setup to perform at your best.
VALD Diversity & Inclusion Commitment
VALD’s best asset is not our technology but our people and culture. A culture of inclusion and diversity is critical to our business. We know diverse teams perform better. It's not a separate initiative – we aim to embed inclusion and diversity in everything we do. We are committed to fostering an inclusive work environment and embracing diversity, including gender, nationality, disability, age, marital/parental status, ethnicity, gender identity, socioeconomic background and sexual orientation. We welcome applications from people from all backgrounds.
Background Check
Successful applicants will be subject to background checks (including identity and criminal record checks). It will be a condition of employment that the background checks return acceptable results.
Location: Poland
Are you a health professional thinking about a career change? Are you passionate about how technology can help progress your profession? If you have an allied health background or previous experience as a Physical Therapist, a role as a Business Development Manager at VALD could be the change you need!
About VALD
VALD is the world leader in technology for the allied health industry, providing innovative human-measurement technology to over 8,000 clients in over 150 countries.
If you have a favorite team in the NBA, EPL, or NFL, there's a good chance they use VALD Technologies.
Since its humble beginnings in 2015 in Brisbane, Australia, VALD has grown to a team of over 300 team members in over 30 countries, with five offices across four continents.
Driven by a multidisciplinary team of researchers, clinicians, sports scientists, designers, developers and engineers, VALD's suite of systems offer unparalleled insight into human movement, performance, injury risk and rehabilitation.
About the VALD Business Development Team
The Business Development team are on the front line for VALD. As part of a truly global team, you will attend conferences and perform product demonstrations (both in-person and teleconferences) in clinical, performance, and tactical settings. You'll set up and oversee product trials, nurture new leads and look for new opportunities for VALD.
With an education-based approach to sales, as a Business Development Manager, you must have an intimate knowledge of VALD's systems. You'll leverage your industry expertise and product knowledge to demonstrate how our clients can get the most out of our systems to provide value to their business.
Is this you?
Prior experience working in a clinical or allied health setting, such as a physiotherapist/physical therapist or similar role.
Excellent communication and interpersonal skills via various mediums, including team calls, in-person interaction and sales pipeline reporting.
Be comfortable with targeting new clients.
Willing and able to travel for client meetings and represent VALD at industry conferences and events.
Confidence to persuasively demonstrate VALD systems and communicate product and industry knowledge to clients.
A self-starter who holds themselves accountable for reaching sales targets.
A desire to work with and nurture existing distributor relationships.
Prior experience using CRMs and the Microsoft Office 365 suite of products.
You reside in Poland.
You speak Polish and English (please submit your application in English).
It’s not expected that any single candidate would check every box here. If you meet just some of the requirements, but not all, we encourage you to submit your application!
We strongly encourage you to apply if you’re at all interested. Show us how your experience could improve our team and widen our perspective. Our selection process includes assessing the requirements of the role vs the individual, and how well we think they will work in the VALD team.
Why VALD?
An opportunity to travel the world utilizing your health and performance experience is just the beginning when you join VALD. Recently named in LinkedIn's Top 25 Startups for 2022 in Australia, VALD's best asset is not our technology but our people and culture.
We have a range of benefits we offer to our team, such as:
Industry-leading compensation with healthy performance-based incentives.
The opportunity to work in a company that is redefining allied healthcare.
Learn from a range of high-performing individuals and teams across various disciplines.
Be part of a down-to-earth, inclusive and vibrant team.
Regular travel opportunities to get the entire VALD team together for your ongoing development.
The latest equipment and remote setup to perform at your best.
VALD Diversity & Inclusion Commitment
VALD’s best asset is not our technology but our people and culture. A culture of inclusion and diversity is critical to our business. We know diverse teams perform better. It's not a separate initiative – we aim to embed inclusion and diversity in everything we do. We are committed to fostering an inclusive work environment and embracing diversity, including gender, nationality, disability, age, marital/parental status, ethnicity, gender identity, socioeconomic background and sexual orientation. We welcome applications from people from all backgrounds.
Background Check
Successful applicants will be subject to background checks (including identity and criminal record checks).
Location: San Francisco, CA | New York City, NY | Washington, DC
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As an Enforcement Analyst focused on Bio Harms, you will play a critical role in protecting against the misuse of AI systems for biological and related CBRNE harms. You will enforce our Usage Policy with a specific focus on detecting and mitigating bio risks, investigating potential violations, and help continuously strengthen our safeguards. The work sits at the intersection of biosecurity threat analysis and platform enforcement: you will read real model interactions and make fast, well-reasoned calls about whether activity is benign research or a credible attempt at harm.
This role is a fit for someone who understands the dual-use nature of biology and enabling technologies well enough to separate the benign from the malicious. You will own and continuously improve the enforcement monitoring workflows for the bio-harms area, and you will work closely with Policy, Threat Intelligence, Data Science, and Engineering cross-functional partners to accomplish tasks at scale. Safety is core to our mission, and your work will directly protect individuals, communities, and critical systems.
Important context for the role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including material of a sexual, violent, or psychologically disturbing nature. The role also carries a shared on-call responsibility across the Policy and Enforcement teams.
Key responsibilities
Enforce Usage Policies with a specific focus on detecting and mitigating potential bio risks and harmful use of AI systems.
Take ownership of enforcement monitoring workflows for the bio-harms area, improving end-to-end detection, investigation, triage, and escalation processes.
Monitor and analyze platform activity to identify emerging patterns related to biological (and adjacent chemical, radiological, nuclear, and explosive) threats that may require policy updates or enforcement action.
Design and architect automated enforcement systems and review workflows that scale effectively while maintaining high accuracy across a technically complex content surface.
Conduct thorough investigations of potential violations, gathering and documenting evidence to support enforcement decisions.
Proactively surface trends and propose improvements to detection methods and review workflows.
Partner with Engineering and Data Science teams to optimize detection models and automated enforcement systems for bio-related policy violations.
Partner with Policy and Threat Intelligence groups to understand potential exploits and contribute to risk-assessment frameworks, and partner with engineers iterating on safety systems.
Provide enforcement-grounded feedback on policy gaps, and handle escalations and time-sensitive situations related to potential bio-related Usage Policy violations.
Minimum qualifications
Hold a degree in a bio-related field (e.g., microbiology, molecular biology, biochemistry, public health) and/or relevant professional experience in a related field.
Possess experience in Trust & Safety, content moderation, or policy enforcement at platform scale, including working with generative AI tools to refine and optimize content review and enforcement workflows.
Possess experience in utilizing AI tools to develop data dashboards for metrics collection in support of continuous improvement efforts.
Can analyze complex, ambiguous situations and make well-reasoned, defensible decisions under time pressure.
Are proactive and self-directed: you spot trends, dig in, and ship improvements on your own initiative.
Communicate clearly in writing and can translate technical bio concepts for diverse audiences, including both technical and non-technical stakeholders.
Preferred qualifications
Subject matter expertise in biodefense, biosecurity, WMD/CBRNE non-proliferation, or threat-intelligence.
An understanding of where real-world biological risk actually lies — adversary intent, acquisition and weaponization pathways, and dual-use concerns, including familiarity with cross-platform threat analysis and open-source intelligence (OSINT) techniques relevant to weapons of mass destruction.
Proficiency in SQL and/or other data analysis tools to draw insights from large datasets and monitor enforcement workflow health.
Familiarity with dual-use research of concern (DURC), select agents, and relevant policy frameworks.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$245,000
—
$285,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
The Claude Platform ships fast, and every launch lands better when the field can understand it, demo it, and teach it.
You'll own platform enablement end to end: the demos, hands-on labs, and technical curriculum that let Anthropic's go-to-market teams showcase the Claude Developer Platform with confidence, whether they're building on Anthropic's first-party API or through Bedrock, Vertex, and Foundry. You'll join roadmap and launch planning with the product team before features ship, so the field has what it needs on day one.
You're an engineer who teaches. You've shipped products to users. You know the difference between a demo that raises awareness and one that creates champions. And you get as much energy from watching a seller nail your lab as from building it yourself.
Key responsibilities
Turn launches into field-ready content:
Translate new platform capabilities (API, tool use and MCP, Agent SDK, memory and skills) into demos, labs, and quick-reference guides within days of release, and build compelling demo scenarios across industries and developer personas
Deliver training that sticks:
Run Claude Platform training for technical onboarding and ongoing enablement programs, delivering hands-on sessions wherever the field gathers, from a 12-person lab to a 100-person field-readiness day
Coach the field:
Coach technical sellers on demo delivery through practice sessions and office hours
Scale beyond the live session:
Develop self-service resources and experimental tools so the field can learn without you in the room, and contribute to the tooling that scales enablement, including demo environments, content-freshness automation, and self-service infrastructure
Close the loop with product:
Stress-test new platform features before launch, then bring field signal back to product and product marketing on where sellers get stuck and what content would unlock the next deal
Measure what lands:
Track content usage and session feedback so you know what is working and what to retire
Minimum requirements
Experience in a customer-facing technical role, such as solutions architecture, sales engineering, developer relations, or technical enablement
Experience writing production-quality code and building technical demos
Hands-on experience building with LLM APIs and agents, including tool use, MCP, or agent frameworks, beyond prompting alone
Experience using AI coding tools as part of your daily engineering work
Experience delivering live technical training or talks to both technical and non-technical audiences
Experience partnering directly with sales, solutions engineering, or other go-to-market teams
Preferred requirements
A portfolio you can show us: labs, courses, talks, or repos you built yourself
Experience with Claude Code, or a comparable agentic coding tool, as core infrastructure in your daily work
Experience building on the Claude Developer Platform through cloud providers such as Amazon Bedrock, Google Vertex AI, or Microsoft Foundry
Experience as a technical founder, early startup employee, or 0-to-1 operator who has taken an idea to product-market fit
Public speaking, conference presentations, or community-facing developer advocacy
Experience building enablement tooling, such as demo environments, content-freshness automation, or self-service infrastructure
Deep enthusiasm for AI and genuine care about building it responsibly
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$290,000
—
$365,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY | Washington, DC
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Safeguards Analyst focusing on Integrity & Authenticity, you will be responsible for building and executing enforcement workflows for our products and services, with a focus on detecting and mitigating attempts to misuse Anthropic's AI systems for coordinated inauthentic behavior, election manipulation, and targeting, tracking, and surveillance of individuals.
Your work will span a broad and interconnected set of harm areas: AI-enabled influence operations and disinformation campaigns, the abuse of AI to interfere with electoral processes, and the use of AI systems to facilitate stalking, surveillance, profiling, and the targeting of individuals or groups. Safety is core to our mission, and you'll help shape policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way.
Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a political, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays, particularly around major electoral events.
Key responsibilities
Design and architect automated enforcement systems and review workflows that scale effectively while maintaining high accuracy
Partner with Engineering and Data Science teams to optimize detection models for policy violations and automated enforcement systems
Review flagged content to drive enforcement and policy improvements
Enforce usage policies with a focus on detecting and mitigating AI-enabled influence operations, coordinated inauthentic behavior, election interference, and targeting, tracking, or surveillance of individuals and groups
Support the Safeguards policy design team by providing detailed feedback on policy gaps based on real enforcement scenarios
Keep up to date with emerging AI policy enforcement best practices, evolving threat actor tactics, and the regulatory landscape around elections, privacy, and surveillance, using these to inform our decision-making and workflows
Minimum qualifications
Experience in trust & safety, policy enforcement, threat intelligence, or a closely related field with a focus on one or more of: influence operations, disinformation, coordinated inauthentic behavior, election integrity, or privacy and surveillance harms
Experience standing up and scaling policy enforcement or content review workflows
Proficiency in SQL and/or other data analysis tools to draw insights from large datasets
Experience identifying emerging risks and threat actors, and communicating findings to a diverse set of stakeholders, such as Product, Policy, Engineering, and Legal teams
Experience working with generative AI products, including writing effective prompts for content review and enforcement
Understanding of the challenges involved in implementing product policies at scale, including in the content moderation space
Preferred qualifications
Experience conducting cross-platform investigations into influence operations, coordinated inauthentic behavior, or disinformation campaigns
Familiarity with open-source intelligence (OSINT) techniques and tools used for threat actor tracking and network analysis
Working knowledge of privacy law, surveillance technology, or data broker ecosystems as they relate to targeting and tracking harms
Experience with large language models and an understanding of how AI technology could be misused to generate synthetic personas, fabricate quotes, or automate persuasion at scale
Familiarity with election security frameworks, campaign finance law, or electoral integrity standards in one or more jurisdictions
Experience navigating evolving regulatory landscapes relevant to this space (e.g., DSA, EU AI Act, FEC regulations, GDPR)
Experience working with election bodies, civil society organizations, or government agencies on integrity or disinformation-related issues
Proficiency in Python for data analysis and automation
Experience with dark web monitoring or tracking threat actors across surface, deep, and dark web environments
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$285,000
—
$330,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: United States (Remote)
Workplace: Remote
About Teleport
Don't wait for the future of infrastructure. Be part of it.
Teleport is the AI Infrastructure Identity Company. We're solving one of the hardest problems in security: giving every human, machine, workload, and AI agent a cryptographically secured identity, improving engineering velocity while maintaining security. We make trusted computing simple. This gives you the freedom, power, and autonomy to build and innovate with confidence.
Remote-first and globally distributed, we work with companies like Nasdaq, DoorDash, and Elastic to secure infrastructure for an AI world.
About the Role
We are looking for product-oriented backend engineers to join our Application Access (MCP) engineering team here at Teleport. You will be responsible for designing and implementing backend services and APIs that enable access controls auditing tools, audit logging, session recording summarization, and identity workflows in all aspects of Teleport.
You will be involved in the entire product development cycle, from working with customers to understand security needs, to writing RFDs for your design ideas, to implementing distributed systems in Go. You will work very closely with engineers, product managers, and security researchers to design features that secure and monitor access to infrastructure at scale.
You will play a key role in shaping how modern infrastructure access is secured, audited, and managed at scale.
What You'll Do
- Building backend integrations https://github.com/gravitational/teleport/issues?q=is%3Aissue+is%3Aopen+label%3Aaws with cloud provider's managed databases.
- Working on scalability and resiliency https://github.com/gravitational/teleport/issues?q=is%3Aissue+is%3Aopen+label%3Ascaleof clusters with 10K+ nodes.
- Implementing advanced HTTPS proxy with identity aware access control.
- Building hardened security https://github.com/gravitational/teleport/issues?q=is%3Aissue+is%3Aopen+label%3Asecurity for Linux and Mac users.
What We're Looking For
- Go experience
- Linux systems engineering
- Web Fundamentals (cookie security, HTTP streaming and proxying)
- OAuth experience
Nice to Have:
- Cryptography engineering experience is a plus
How We Hire
- You will join 30 minute intro call and we will walk you through the compensation, interview process and requirements
- You will join a 30 minute call with the hiring manager, and we will walk you through the take home exercise and help answer questions
- You join a Slack channel and submit a coding challenge https://github.com/gravitational/careers/blob/main/challenges/systems/challenge-1.md in Go using Github
Why Teleport
You're joining a company where the problem is real, the team is small, and your work shows up directly in the product. We're not a big company, you won't get lost in a crowd. You'll have the freedom and autonomy to do what you're great at, alongside teammates who care about doing it right and want to see you succeed. The work is collaborative, there's real room to grow, and the mission is one worth showing up for.
Remote-first and globally distributed, we're genuinely passionate about what we're building.
The Benefits
At Teleport, we believe your career is more important than a list of perks. That's why we focus on making your day-to-day the best it can be — giving you the autonomy, access, and support to do the best work of your career.
- Extensive health coverage
- Annual expense budget
- Rest and recovery policies that maximize your ability to recharge
- Investment in your future with retirement savings plans
- Professional development opportunities
Teleport is an equal opportunity employer and does not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classifications protected by federal, state, or local law.
Candidate Privacy Notice: For information about our collection and processing of job applicant personal data for this position, please see our Job Applicant Privacy Policy and Notice of Collection at goteleport.com/legal/apply/job-applicant/ http://goteleport.com/legal/apply/job-applicant/
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic's Safeguards team is seeking a Red Team Engineer to help ensure the safety of our deployed AI systems and products. In this role, you'll take an adversarial approach to uncover vulnerabilities across our product ecosystem before they can be exploited by malicious actors. Your work will span from technical infrastructure vulnerabilities on our products to emergent risks from advanced AI capabilities.
While you'll bring best practices from traditional security approaches, the focus is on broader safety implications and novel abuse unique to advanced AI systems and associated products. You'll investigate the full spectrum of potential abuse — from coordinated account manipulation and payment fraud to novel exploitation of product features — and simulate sophisticated threat actors who chain multiple attack vectors to achieve their objectives.
Key responsibilities
Conduct comprehensive adversarial testing across Anthropic's product surfaces, developing creative attack scenarios that combine multiple exploitation techniques
Research and implement novel testing approaches for emerging capabilities, including agent systems, tool use, and new interaction paradigms
Design and execute "full kill chain" attacks that emulate real-world threat actors attempting to achieve specific malicious objectives
Build and maintain systematic testing methodologies that evaluate every aspect of our systems
Develop automated testing frameworks to enable continuous assessment at scale
Collaborate with Product, Engineering, and Policy teams to translate findings into concrete improvements
Help establish metrics for measuring detection effectiveness of novel abuse
Minimum qualifications
Experience in penetration testing, red teaming, or application security
Experience in model jailbreaking and testing large-scale agentic workflows for non-obvious prompt injection vectors
Strong technical skills in web application security, including hands-on expertise with security testing tools (e.g., Burp Suite, Metasploit, custom scripting frameworks)
Experience building custom automation, including LLM-specific testing frameworks
A track record of discovering novel attack vectors and chaining vulnerabilities in creative ways
A public body of work such as CVEs, blog posts, or disclosed bug bounty reports
Strong written and verbal communication skills, with the ability to explain technical concepts to varied audiences
Preferred qualifications
Experience with AI/ML security or adversarial machine learning
Understanding of AI safety considerations beyond traditional security, including modern guardrails against jailbreaks
Experience testing API security and rate-limiting systems
Background in testing business logic vulnerabilities and authorization bypass techniques
Background in anti-fraud, trust & safety, or abuse prevention systems
Familiarity with distributed systems and infrastructure security
Familiarity with abuse detection mechanisms and the ability to engineer novel bypasses
Adaptability to understand and build engagements around emerging threats outside your direct area of expertise
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: US - Remote; San Francisco, CA; New York, NY; Atlanta, GA
Workplace: Remote
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs.
ABOUT THE HEALTHCARE TEAM
- Our healthcare agents already reach over 50% of U.S. families. We partner with leading health plans, providers, and healthcare platforms to deliver AI agents that handle some of the most sensitive and high stakes conversations in any industry. From helping members understand their benefits to resolving billing questions with empathy, our healthcare agents are transforming how patients and policyholders interact with the healthcare system.
- Our healthcare customers include major health insurance networks, nonprofit providers, multi-site primary and urgent care practices, healthcare diagnostics companies, and healthcare financial platforms.
- Join us to transform the patient experience across the healthcare system—and help build technology that makes care more accessible, more human and more affordable for everyone.
WHAT YOU'LL DO
- Lead & develop a high-performing sales team: Hire, onboard, and develop AEs across your region, Coach reps on deal strategy, pipeline management, and execution. Create a culture of accountability, learning, and collaboration. Identify and grow future leaders on your team.
- Own regional performance: Own your regional number and forecast accuracy, Inspect pipeline quality and help unblock stalled deals. Drive consistent execution of our sales process. Partner with RevOps to ensure clean data and clear insights.
- Be deeply involved in deals: Join key customer and prospect conversations. Help reps navigate complex buying committees and late-stage deals. Support pricing, negotiation, and close strategy.
WHAT YOU'LL BRING
- 10-15+ years of experience: Extensive experience in enterprise customer-facing sales role, identifying and closing large accounts.
- People leadership experience: 5+ years managing, mentoring, and developing a high-performing enterprise sales team.
- Enterprise experience: You've run and managed end-to-end complex deals ($1M+).
- Strong communication skills: Exceptional verbal and written communication abilities.
- Analytical mindset: Ability to analyze market trends, identify opportunities, and make data-driven decisions.
EVEN BETTER...
- Industry knowledge: Familiarity with the AI landscape, key players, and emerging trends, as well as fluency with AI tooling and workflows.
- Experience building GTM strategies: Building sales teams and sales motions from scratch, or from early stage growth.
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits
- Lunch, as well as delicious snacks and coffee to keep you energized when working onsite
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description.
Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy.
We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.
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