NDA - это продуктовая IT компания, ключевым направлением которой является создание и продвижение информационных порталов в игровых нишах на западных рынках. Компания совершенствует ERP систему для управления и анализа эффективности маркетинговых процессов. Сейчас ищут Middle Python Developer в команду инжиниринга.
Почему стоит выбрать эту компанию:
Работа в команде с четкой целью и процессами.
Много возможностей для развития.
Стабильная компания, стремящаяся стать полноценной экосистемой.
Компания и руководство ценят людей.
Гибкий выбор технологий и следование передовым технологиям.
Рост сотрудников через менторство и код ревью.
Задачи идут от бизнеса с сильной технической базой.
Разные направления: analytics, web dev, infrastructure.
Что предлагают:
Опыт работы инженером, который понимает бизнес-контекст.
Работа в команде с выстроенными процессами по дизайну, тестированию и разработке.
Разработка b2b продукта с ежедневной обратной связью пользователей.
Работа с опытным ментором (Team Lead) с опытом data engineering 7+ лет.
Проект ориентирован на западные рынки.
Регулярный пересмотр вклада через Performance Review.
Отсутствие легаси кода.
Soft Skills:
Знание английского на уровне pre-intermediate и выше.
Знакомство с гибкими методологиями разработки (Scrum).
Отличные коммуникативные навыки.
Навыки влияния, ведения переговоров и общения.
Умение справляться со стрессом.
Продуктовое мышление.
Проактивность и предложение эффективных решений.
Страсть к коду.
Hard Skills:
Опыт коммерческой разработки на Django 3.x+ (ссылка на GitHub обязательна).
Уверенное владение Pandas для обработки и анализа данных.
Опыт настройки и работы с Celery и Redis в продакшене.
Знание инструментов автоматического тестирования Django-проектов (pytest, unittest, factory_boy).
Умение работать с Docker и Docker Compose.
Практический опыт с GraphQL (Strawberry).
Оптимизация кеширования через cacheops.
Базовые навыки конфигурации Nginx для развёртывания Django-приложений.
Глубокое понимание работы с PostgreSQL: индексы, оптимизация запросов, миграции.
Преимущества:
Готовность быстро вливаться в инфраструктуру без обучения.
Интерес к DevOps и системному подходу.
Опыт или желание развиваться в AWS-экосистеме.
Владение английским для чтения документации и общения.
Обязанности Middle Python Developer:
Поддержка и развитие существующего продукта без внешнего менторинга.
Разработка и поддержка системы автотестов.
Работа с бизнес-скриптами: сбор, трансформация и выгрузка данных.
Расширение функционала согласно приоритетам бизнеса.
Внесение инженерных предложений и оптимизационных решений.
Обеспечение масштабируемости и надёжности системы.
Постоянное улучшение качества кода, архитектуры и производительности.
Процесс взаимодействия с кандидатами:
Welcome интервью (40 минут).
Техническое собеседование (60 минут).
Решение рабочих кейсов.
Интервью с COO (20 минут).
Оффер.
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: 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: Paris; London
Workplace: OnSite
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
The Role
As an AI Scientist, you will push the boundaries of AI by developing and scaling cutting-edge models. This role exists to advance Mistral’s mission of democratizing frontier intelligence, enabling businesses and consumers to benefit from open, high-impact AI systems. You will collaborate with a global, cross-functional team to design, build, and deploy models that solve real-world problems across reasoning, code, and multimodal applications. Your work will directly shape how AI integrates into daily life and enterprise operations.
WHAT YOU WILL DO
- Research and develop novel methods to advance the capabilities of LLMs.
- Design and implement tooling and infrastructure for training, evaluating, and analysing AI models at scale.
- Collaborate with scientists, engineers, and product teams to ship AI systems with tangible impact.
- Explore and innovate across use cases such as reasoning, code generation, and agent-based systems.
- Work with multimodal data, including text, image, and speech, to expand model capabilities.
- Optimise distributed systems to improve the efficiency and scalability of model training.
- Contribute to the open-source community by releasing frontier models for public use.
WHAT WE'RE LOOKING FOR
- A track record of contributing to relevant scientific domains, such as publications or open-source projects.
- Hands-on experience with AI frameworks like PyTorch or JAX, or distributed systems such as Ray or Kubernetes.
- Proficiency in at least one programming language, such as Python, Rust, Go, or Java.
- Ability to design complex software systems and transition them into production environments.
- Experience with training large transformer models in a distributed setting.
- Familiarity with the full MLOps stack, including fine-tuning, evaluation, and deployment.
- A self-starter mindset with the autonomy to drive projects forward and collaborate effectively in a team.
- Strong engineering competence, with a focus on building scalable and reliable systems.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: New York
Workplace: Hybrid
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
The Role
We are seeking passionate and skilled software engineers to join our new team in NYC. As a Backend Engineer, you’ll contribute to the development of the core systems powering our three main products, AI Studio, Le Chat & Mistral Code, shaping how users and developers interact with our AI platform at scale. You’ll work on building reliable, high-performance backend systems and APIs that serve millions of users and developers. Your work will directly impact the developer and user experience, making it more engaging, efficient, and intuitive. We welcome engineers from mid-level to senior and staff engineers who are eager to learn, collaborate and ship impactful products.
What You Will Do
Depending on your skills and field of expertise, you will be involved in key components of our technology, including:
Backend Development
- Design, develop and maintain scalable, robust backend features and APIs using modern frameworks.
- Ensure high performance and reliability across our distributed systems.
- Contribute to systems powering inference, billing, AI tooling, observability, and developer experience.
System Architecture
- Design and implement efficient, secure and scalable architectures that support our fast-growing products.
- Collaborate with infrastructure teams on deployment, monitoring, and performance optimization.
Code Quality
- Write clean, maintainable and well-documented code.
- Participate in code reviews and contribute to technical standards and best practices.
Cross-functional Collaboration
- Collaborate with product managers, platform engineers, and AI/ML teams to design, build, and deliver scalable model-as-a-service solutions for developers and enterprise users.
- Partner with teams across AI Studio, Le Chat & Mistral Code to ensure consistent platform-wide experience.
Problem-Solving & Innovation
- Tackle complex engineering challenges, from distributed systems to AI product integration.
- Stay up-to-date with new technologies (e.g., AI/LLM integration, observability, or backend frameworks) and bring them into production when relevant.
What We're Looking For
• Degree in Computer Science, Software Engineering, or equivalent practical experience.
• Proficiency in Python or another backend language (Golang, Kotlin, C#). Engineers are assessed in their preferred language during a live coding session.
• Strong understanding of backend fundamentals: APIs, databases, caching, messaging systems and distributed architectures.
• Strong problem-solving abilities and attention to detail.
• Ownership mindset capable of shipping end-to-end features with minimal oversight.
• Excellent communication skills and collaborative attitude.
• Team-oriented, low-ego mindset and curiosity for learning.
Now, it would be ideal if you had experience with:
• Full-stack exposure
• Working closely with an API & developer ecosystem
• Deploying software to a diverse set of environments (cloud, on-premises, etc.)
• Infrastructure management (Docker, CI/CD, Kubernetes, Helm, Terraform...)
• AI/ML engineering
• Observability and monitoring tools (Prometheus, Grafana, Datadog…).
• UX and product-centric mindset.
Hiring Process
• Introduction call - 30 min
• Live-coding interview - 45 min
• System Design interview - 45 min
• Hiring Manager interview - 30 min
• Deep Dive Interview (only for leads & staff engineers) - 60 min
• Culture-fit discussion - 30 min
• Reference checks
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: Hybrid - Washington D.C
Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.
About the Program:
Innodata's Federal Practice builds the trusted data layer for critical infrastructure Trust & Safety work. Partnering with a leading systems integrator, we're delivering a modern, governed data services platform in a secure federal (IL4) environment. Over an intensive 20-week phase, you'll help stand up a data services storefront, a DataCard governance framework, synthetic data integration, and Databricks write-back capabilities.
About the Role:
As the QA/Evaluation Lead, you'll own quality and evaluation across the platform. You'll design the evaluation framework that measures whether our data services and outputs meet the bar, build repeatable test and validation processes, and give the team an objective read on readiness at each milestone. Partnering with the Delivery Owner and engineering leads, you'll turn quality from an afterthought into a measurable, demonstrable strength. It's a role for someone who thinks rigorously about evaluation and takes pride in evidence-backed quality.
Key Responsibilities:
Design and own the inter-annotator agreement (IAA) methodology for the Phase 1 demonstration corpus — metric selection (Cohen's kappa, Fleiss, Krippendorff's alpha), sampling design, adjudication workflow, and agreement thresholds
Define evaluation framework architecture: test and evaluation plans, IAA targets, drift detection gates, and model performance metrics per SOW Section 2.9
Configure and operate sampling-based quality control across the self-service and white-glove annotation paths during Phase D corpus production
Design and implement confidence-threshold escalation routing from automated annotation to senior-annotator adjudication
Validate quality scoring and IAA computation within the Innodata data layer
Support AI Solutions Engineer on evaluation design for SAM 2 and Frontier model API validation — define what 'good enough' looks like quantitatively
Produce evaluation framework documentation for the Phase 1 NPP closeout package, including per-DataCard documentation with the SA
Must-Have Qualifications:
Bachelor's degree in Statistics, Data Science, Computer Science, or related quantitative field required; Master's degree preferred. Equivalent experience may substitute for degree on a 2-for-1 basis.
6+ years total professional experience, 4+ years in data quality, evaluation methodology, or QA on AI/ML programs
IAA methodology expertise — Cohen's kappa, Fleiss' kappa, Krippendorff's alpha: hands-on, not theoretical
Evaluation framework design for AI/ML training data programs
QC process design: sampling methodology, escalation workflows, adjudication protocols
Python for QC tooling, metric computation, and statistical analysis
Active Secret clearance with TS/SCI eligibility
Nice-to-Have Qualifications:
Prior DoD or IC data quality program experience
CVAT or equivalent annotation platform QC workflow configuration
Drift detection and model monitoring methodology
Experience with FMV / video annotation quality standards
The expected hourly salary range for this position is $45 to $50 p/hour, based on experience, skills, and qualifications.
Note to Candidates:
This role is not a project manager with QC responsibilities — it is a methodology expert who owns the intellectual framework behind data quality on a federal AI program. The right candidate can walk into a meeting with Government evaluators and explain exactly why the evaluation design produces trustworthy labels. That conversation is part of Phase 2 positioning.
Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at
https://consumer.ftc.gov/articles/job-scams.
If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at
verifyjoboffer@innodata.com
and consider reporting it to the FTC at
ReportFraud.ftc.gov
.
Location: Boston, MA
Workplace: OnSite
At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers users to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable device tracks key physiological metrics such as heart rate variability, resting heart rate, and sleep quality to provide personalized insights into users' fitness, health, and recovery.
As a Backend Software Engineer II, you will build on WHOOP’s generative AI capabilities to develop and maintain exciting, member-facing features that drive meaningful health outcomes. You will play a vital role in delivering personalized insights across WHOOP and work alongside experienced engineers, designers, and product managers to help members better understand their health, optimize performance, and gain clarity throughout their WHOOP journey.
RESPONSIBILITIES:
- Collaborate with cross-functional team including Product, Design, Analytics, and Data Science to gather technical requirements and deliver impactful infrastructure and tools
- Leverage Java, Kafka, AWS, and PostgreSQL to deliver scalable and reliable software solutions and features
- Consistently deliver high-quality code, adhering to best practices in software design and development
- Develop and maintain observability and monitoring systems to ensure the stability and reliability of deployed features
QUALIFICATIONS:
- 2-4 years of backend software development experience, ideally in languages like Java
- Familiarity with asynchronous processing systems (Kafka, SQS)
- Experience in backend development, working on large-scale software systems and RESTful API design
- Experience in relational database design and development (PostgreSQL)
- Experience with scalable system design and performance optimization
- Strong independent problem-solving skills and the ability to work effectively in a fast-paced, collaborative environment
- Excellent communication skills and a commitment to delivering high-quality work
- A proactive, collaborative team player, eager to take on new challenges, continuously learn, and adapt in a fast-paced, data-informed environment
Learn more about our Software Org and how to be successful in your engineering career at WHOOP via our Career Framework https://engineering.prod.whoop.com/careerframework.
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.
The U.S. base salary range for this full-time position is $125,000- $175,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.
In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.
These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.
Location: San Francisco, CA
ABOUT COLUMN
For companies building financial technology and transforming the financial services space, the biggest bottleneck to their growth and innovation is often the underlying banks and infrastructure stack they rely on. We have spent our careers founding and scaling companies like Plaid, Square, Meta, Blend, and Affirm, and have seen this problem firsthand — builders and developers needing to partner with traditional banks, and creating API and abstraction layers over the patchwork that is the bank, its core, and many other vendors. All of this results in a complex (and often expensive) banking supply chain involving a user, fintech, BaaS middleware provider, bank, core and the Federal Reserve.
At Column, we set out to simplify and fix this. We are a bank and a software company built from the ground up, offering builders and developers technology-forward banking solutions that cut out the hundreds of vendors, middleware providers, and abstraction layers. This means a safer, more transparent, and less costly banking supply chain. Come build with us!
THE OPPORTUNITY
Column is hiring for a Digital Assets Compliance role to define, build, and operate Column's compliance framework for its crypto products. The GENIUS Act and other federal guidelines have started to clarify how banks can provide digital asset services. Against this backdrop, Column is looking for someone to support the ongoing development of practical systems that protect the bank while enabling innovation. This isn't a box-checking compliance role. We need a builder who understands that compliance done right is a competitive advantage — it unlocks partnerships, accelerates product velocity, and builds trust with regulators. You'll work directly with our product, engineering, and risk teams to manage systems that scale, not just procedures that look good on paper. If you have experience building programs and tooling, and monitoring and analyzing cryptocurrency transactions using best-in-class blockchain investigations tools, we want to talk to you.
What this role is: This role will serve as a subject matter expert with deep specialization in digital assets compliance. You'll be embedded within our financial crimes team, developing the Bank's standards for monitoring and controlling the AML and sanctions risks inherent in the bank's stablecoin infrastructure, payment rails, and crypto-enabled banking products.
What this role is NOT: This is not a securities or broker-dealer compliance role. Many crypto compliance professionals to date have focused on securities regulations for trading platforms and custodial services, but we're not looking for expertise in custody, capital markets, or investment products. We need someone who understands the AML and sanctions tooling and controls for payments, and how digital assets interact with traditional payment systems — not someone who's spent their career navigating SEC rules for crypto exchanges.
This position will report directly to the Bank's Chief Compliance Officer, and the individual in the role must be willing to work in person in our Presidio-based office in San Francisco (3-4 days/week).
WHAT YOU’LL DO
OPERATE COMPLIANCE INFRASTRUCTURE
- Operate the AML/BSA monitoring capabilities for stablecoin and crypto payment products in accordance with the GENIUS Act and Bank Secrecy Act requirements and the Bank's existing AML program
- Refine and maintain a comprehensive sanctions compliance program for digital assets, including blockchain analytics, wallet screening, and sanctions risk management specific to crypto payment flows
- Expand our existing suspicious activity monitoring and sanctions screening tools and processes to blend digital asset-specific workflows
- Develop, test, and tune new blockchain monitoring rules
- Own monthly metric reporting on stablecoin-specific activity
- Build out stablecoin-specific operational policies and procedures
- Stay on top of emerging risk trends in digital assets and update the program accordingly
SUPPORT BUSINESS GROWTH
- Serve as the primary AML subject matter advisor to product and engineering teams building the stablecoin infrastructure
- Translate regulatory requirements into concrete technical specifications (e.g., "we need the ability to freeze tokens within X minutes of receiving a court order")
- Conduct compliance reviews of new product features and partnerships before launch
- Partner with our bank compliance team to ensure our crypto program integrates seamlessly with Column's existing BSA/AML framework
- Provide guidance on due diligence evaluation requirements for customers using stablecoin rails
- Respond to RFIs from partners on our stablecoin compliance program
DEVELOP AND RUN OUR CRYPTO INVESTIGATIONS PORTFOLIO
- Perform extensive investigations related to transaction monitoring and screening that could implicate potential money laundering, fraud, or terrorist financing
- Prepare and document triage investigations and their dispositions according to FinCEN/FFIEC expectations and Bank procedures
- Review transaction and wallet screening reports for potential OFAC violations and report potential true positives to the BSA Officer
- Draft RFIs to partners and monitor for response
- Establish lines of communication and recurring meetings with partner compliance teams
- Refine investigation procedures based on operational learnings
- Build out our incoming and ongoing training program for crypto investigations and crypto broadly
WHAT YOU’LL NEED TO BE SUCCESSFUL
- 4-5+ years of experience in financial crimes compliance, with at least 3 years working on digital assets, crypto, or blockchain-related compliance; must include some experience in investigations
- Expert knowledge of BSA/AML requirements and how they apply to digital assets under existing regulatory and industry standards
- Strong understanding of stablecoin mechanics, blockchain technology, and crypto payment flows
- First-principles thinker who can design robust systems from scratch, not just operate existing playbooks
- Strong technical aptitude — comfortable working with engineering teams to build compliance into product architecture
- Comfortable operating in ambiguity and making risk-based decisions with incomplete information
- High EQ and strong stakeholder management skills; can build trust with regulators, auditors, and internal teams
WHAT YOU’LL GET FROM US:
- 🏥 Comprehensive health, dental, and vision plans, including options that are 100% covered by Column for you and 100% covered for your dependents!
- 🐣 Comprehensive family planning and fertility benefits via partnership with Carrot, including reimbursement of up to $20,000 in qualified expenses
- 🏡 Up to $2,000 (post-tax) monthly rent subsidy for employees living within 2 miles of Column’s office
- 💳 FSA and HSA account options to enable use of pre-tax money for medical and dependent care expenses
- 📈 401k plan, including self-directed brokerage options
- 🌴 Flexible time-off policy - take the time off that you want and need to relax and recharge
- 🧳 Sabbatical Program - reach your 5-year anniversary to take up to 8 weeks of fully paid leave to rest, recharge, and pursue personal interest - with full salary and benefits
- 👶 100% paid parental leave, including 16 weeks for birth mothers, 12 weeks for primary caregivers, and 8 weeks for secondary caregivers
- 😇 Up to $4,500 in annual reimbursements for backup childcare
- 🍽️ Catered lunches and dinners for SF employees
- 🚆 Commuter benefits, including paid transportation to-and-from the office
- 🎉 Regular team building events, including annual offsite
PAY TRANSPARENCY:
Compensation packages at Column include base salary, equity, and benefits. New hire offers are made based on a candidate's experience, expertise, geographic location, and internal pay equity relative to peers.
The annual base salary range for this role is $130,000 - $170,000 + equity.
WE LOOK FORWARD TO HEARING FROM YOU
Column is committed to working with the best and brightest people from the broadest talent pool possible. We value bringing together a team with different perspectives, educational backgrounds, and life experiences, and believe a diversity of ideas is what allows us to develop the best solutions. All qualified individuals are encouraged to apply.
If you need assistance or a reasonable accommodation during the application and recruiting process, please reach out to accommodations@column.com.
We participate in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program here https://e-verify.gov.
Location: United States
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
About Nebius
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, the Americas and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The Infrastructure Acquisition Group
The Infrastructure Acquisition Group secures the land, power, and data center capacity that enables the Nebius AI Cloud. We identify where Nebius should grow next, structure the commercial agreements that make that growth possible, and partner across engineering, energy, finance, legal, and development to bring new AI infrastructure online.
We're a small, founding team building this function from the ground up across the Americas, leading the acquisition of colocation, build-to-suit, powered land, and other strategic infrastructure opportunities as one of the world's fastest-growing AI cloud platforms scales.
Examples of Problems We're Solving
Determine whether a site can actually support the AI infrastructure we're planning to build.
Lead multidisciplinary technical due diligence across geotechnical, environmental, civil, utility, and entitlement workstreams to determine whether a project is technically feasible before Nebius commits capital.
Build a repeatable technical due diligence program.
Help establish the standards, consultant network, playbooks, and review processes that ensure every infrastructure opportunity is evaluated consistently across the Americas.
Identify technical risk before it becomes commercial risk.
Work with Site Selection, Project Development, Engineering, and external consultants to identify development constraints early enough to influence negotiations, investment decisions, and project schedules.
About the Role
As a Technical Due Diligence Manager, you'll evaluate the technical feasibility of AI infrastructure opportunities across the Americas before Nebius commits capital. Working within the Infrastructure Acquisition Group, you'll lead multidisciplinary engineering due diligence across powered land and build-to-suit developments, partnering with Site Selection, Engineering, Energy, Legal, and Project Development to identify technical risk, assess development feasibility, and support investment decisions.
This is a build-phase role on a build-phase team. Many of the standards, playbooks, consultant relationships, and technical review processes you'll use are still being written—in some cases, you'll help write them. We're looking for someone who can independently lead complex technical due diligence programs while helping build the systems that make every future evaluation faster, more consistent, and more scalable.
What You'll Own
Lead multidisciplinary technical due diligence for powered land, build-to-suit, and other strategic infrastructure opportunities.
Define the scope of engineering, environmental, geotechnical, surveying, utility, and entitlement studies required to evaluate prospective sites.
Procure, manage, and coordinate external engineering and technical consultants from scope development through final recommendation.
Interpret technical findings and provide development recommendations supporting acquisition decisions.
Prepare technical due diligence summaries and present risks, constraints, and recommendations to executive leadership.
Technical Risk Assessment
Evaluate geotechnical conditions, environmental constraints, utility capacity, network connectivity and fiber access, entitlement requirements, constructability, and development schedules.
Identify technical risks that may impact project cost, schedule, or feasibility.
Recommend mitigation strategies and additional investigations where appropriate.
Quantify technical risks and communicate commercial impacts to Site Selection and Project Development.
Studies & Consultant Management
Define the scope of engineering, environmental, geotechnical, surveying, utility, and entitlement studies required to evaluate prospective sites.
Procure, manage, and coordinate external engineering and technical consultants from scope development through final recommendation.
Interpret engineering studies and translate technical findings into clear development recommendations.
Maintain technical documentation and due diligence records that support investment decisions.
Program Standards & Process
Apply Nebius' technical due diligence standards consistently across all projects.
Help develop and improve due diligence templates, consultant scopes, checklists, and review processes.
Capture lessons learned to strengthen future technical evaluations.
Build and maintain a trusted network of engineering and technical consultants.
Cross-Functional Collaboration
Partner with Site Selection to evaluate new infrastructure opportunities and support acquisition recommendations.
Work with Project Development to transition technically viable projects into development.
Coordinate with Engineering, Energy, Network, Legal, Finance, and Delivery throughout the acquisition lifecycle.
Build trusted relationships with engineering firms, land-use attorneys, environmental consultants, and technical partners.
What Success Looks Like
Deliver timely technical recommendations that support investment decisions.
Identify development risks early enough to influence commercial negotiations and project strategy.
Establish consistent technical due diligence standards across the Americas.
Build a trusted network of engineering and technical consultants.
Help build the standards and processes the Infrastructure Acquisition Group runs on as it scales.
What You'll Bring
You're comfortable operating in ambiguity and building processes where none exist. You know how to independently lead complex technical due diligence efforts while helping define how future evaluations should be performed.
5–10 years of experience leading technical due diligence, site development, civil engineering, land development, infrastructure design, or large-scale industrial projects.
Experience managing multidisciplinary engineering and environmental consultants.
Strong understanding of geotechnical investigations, environmental assessments, zoning, entitlements, utility coordination, permitting, and infrastructure development.
Ability to interpret engineering studies and translate technical findings into business recommendations.
Excellent communication and executive presentation skills.
Bachelor's degree in Civil Engineering, Architecture, Construction Management, Real Estate Development, or a related discipline, or equivalent experience.
Preferred Qualifications
Experience supporting hyperscale data center, AI infrastructure, or mission-critical developments.
Professional Engineer (PE), PMP, or similar technical certification.
Experience with large-scale infrastructure acquisition or development programs.
Knowledge of utility infrastructure, transmission, and power markets.
Why Join Nebius
The infrastructure supporting AI is being built now. This is an opportunity to help define how Nebius evaluates the next generation of AI infrastructure while helping build the function itself—the standards, consultant network, technical processes, and playbooks that will support infrastructure investments across the Americas. You'll work on some of the industry's largest and most complex AI infrastructure opportunities while helping shape the physical foundation of the global AI economy.
Pay Transparency
We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.
Base Compensation Range
$150,000
—
$183,000 USD
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Americas Remote
Hi, I'm Manu, Engineering Manager at
Customer.io
. We're looking for experienced backend engineers who want to build and own the infrastructure that powers one of the most data-intensive platforms in marketing automation — systems that process millions of events per second, orchestrate complex workflows at scale, and keep everything running reliably for thousands of customers worldwide.
You'll work on the Platform team, tackling hard distributed systems problems: designing for fault tolerance, scaling services under real production pressure, and building the foundational layers that every other team at
Customer.io
depends on. This isn't just maintenance work — you'll shape the architecture of systems that need to be both highly available and constantly evolving.
If you're someone who gets energized by the intersection of scale, reliability, and developer experience — and wants ownership over infrastructure that truly matters — we'd love to talk.
What you'll bring:
Deep experience with distributed systems and large-scale backend architecture
Strong instincts around reliability, observability, and fault tolerance
Comfort reasoning about performance, capacity, and trade-offs at scale
Experience with event-driven systems, message queues, or data pipelines is a plus
A collaborative mindset — you raise the team around you
About
Customer.io
Over 9,000 companies - from scrappy startups to global brands - use our platform to send billions of emails, push notifications, in-app messages, and SMS every day.
Customer.io
powers automated communication that people actually want to receive.
We help teams send smarter, more relevant messages using real-time behavioral data. Under the hood: Go, React, Ember and AI help us ship fast and scale with confidence.
What We Value
Ownership
You drive technical direction across systems and teams. You move with urgency, build with empathy, and think long-term. You’ve led large-scale infrastructure initiatives and know what it takes to get them over the line.
Engineers with customer focus
You think about how infrastructure unlocks customer value. You care about developer experience, system design, and how your work shapes the customer experience.
A healthy disregard for “the way things are done”
You bring rigor and creativity. Best practices matter, but never more than forward motion.
What You’ll Do
Design and evolve distributed systems in Go to handle billions of daily events and messages and store and index petabytes of data
Lead architectural decisions around performance, reliability, and real-time event processing
Improve service-to-service communication through better APIs, messaging systems, and event-driven patterns
Work across teams to uncover bottlenecks and system issues, and lead initiatives to resolve them for a smoother customer experience
Tackle high-throughput challenges across data pipelines, queues, and scheduling infrastructure
Able to debug production systems at scale using effective instrumentation, and resolve issues quickly and confidently
Participate in an on-call rotation as required, supporting the reliability of the systems you build
Share knowledge and raise the bar through sharing your progress publicly with short videos, thoughtful writing, and mentorship
Leverage AI tools to prototype, move faster, and make better decisions
What we're looking for
Significant experience (typically 10+ years) building scalable, distributed systems in Go (or similar statically typed languages)
Deep experience with databases - relational (MySQL, Postgres) and non-relational (DynamoDB, BigTable) - and how to make them fast
Comfort working in cloud-native environments (AWS, GCP)
Familiarity with APIs, observability, and operating production systems
A bias for action over perfection, and pride in owning technical decisions
Compensation & Benefits
We believe in transparency. Starting salary for this role is $150,000 - $200,000 USD (or equivalent in local currency) depending on experience and subject to market rate adjustment. In addition to base salary, this role includes an equity grant in the form of stock options, so you share in the success you help build.
We know our people are what make us great, and we’re committed to taking great care of them. Our inclusive benefits package supports your well-being and growth, including 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family. We also offer 16 weeks paid parental leave, unlimited PTO, stipends for remote work and wellness, a professional development budget, and more.
See full benefits here →
Our Process
No gotchas, no trick questions - just a clear, human process designed to help both of us make an informed decision.
Application - We review everyone with care. Tell us why you're interested.
Recruiter Call (30 mins) - Let’s chat about what you’re looking for and how we work.
Hiring Manager Interview (60 mins) - Talk with one of our hiring managers about your working style and a project you've owned end-to-end, plus a short AI-assisted coding exercise.
System Design Interview (60 mins) - A collaborative system design conversation focused on scaling challenges.
Coding Interview (60 mins) - Pair with one of our engineers for an agentic live coding interview.
All final candidates will be asked to complete a background check and employment verifications as part of our pre-employment process.
Customer.io
recognizes the stifling impact of systemic injustice on diverse communities. We commit to using our influence to increase inclusion and equity within the tech industry. We strive to build an inclusive team culture, implement bias-free hiring practices, and develop community partnerships to expand our global impact.
Zoom is the only video conference platform that we use, virtual interviews will be conducted using the video capability (i.e., not via the chat), and offers will be extended in writing on official
Customer.io
letterhead. Please be vigilant in all of your job search activity, and if you have any questions please contact
jobs@customer.io
.
Join us!
We believe in empathy, transparency, responsibility, and, yes, a little awkwardness. If you’re excited by what you read and want to build software that makes communication better for everyone—apply now.
Location: Palo Alto; New York; San Francisco
Workplace: Hybrid
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
Role Summary
As an AI Deployment Strategist, you will drive the adoption and deployment of Mistral’s AI solutions, working closely with customers from strategic vision to production implementation. This role sits at the intersection of business strategy, AI innovation, and hands-on deployment, ensuring our customers achieve transformative outcomes.
You will partner with senior executives to design AI roadmaps, collaborate with the Applied AI team to deliver solutions in production, and ensure seamless transitions from presales to postsales. Your work will directly contribute to customer success, bridging the gap between strategy and execution.
This role is ideal for those who thrive in a fast-paced environment, enjoy solving complex business challenges, and are passionate about turning AI potential into real-world impact.
What you will do
Strategic Discovery & Vision Setting
• Lead executive-level workshops to identify business challenges and opportunities where Mistral’s AI can drive step-change improvements.
• Co-create AI adoption roadmaps with customers, articulating the “art of the possible” and a clear path to value.
• Collaborate with Account Executives to develop business cases, quantify ROI, and align solutions with customer objectives.
AI Solution Design & Deployment
• Architect end-to-end AI solutions, integrating Mistral’s models and platform into customer workflows and technical infrastructure.
• Partner with the Applied AI team to design, prototype, and deploy AI solutions in production, ensuring scalability and impact.
• Own the execution of pilot projects and proofs-of-value, demonstrating the potential of our technology and paving the way for full-scale deployment.
Value Realization & Customer Success
• Serve as a trusted advisor to customers, guiding their AI strategy and ensuring they maximize the value of their investment in Mistral.
• Monitor key performance indicators (KPIs) tied to business outcomes, and communicate progress to executive sponsors.
• Proactively identify expansion opportunities within accounts, building on initial successes to drive long-term partnerships.
Cross-Functional Collaboration
• Act as the bridge between customers and Mistral’s internal teams, synthesizing feedback to influence product and research roadmaps.
• Develop reusable assets, best practices, and playbooks to scale go-to-market efforts and ensure consistent delivery excellence.
• Travel (~30-60%) to foster deep client relationships and support on-site deployment.
About you
• 4+ years in a client-facing strategic and technical role (e.g., data science consulting, value engineering, or technical sales).
• You hold a degree in a relevant scientific field (e.g., Computer Science, Data Science, Engineering, etc.)
• Foundational knowledge of AI/ML/Data Science, with the credibility to advise both technical and non-technical audiences.
• Hands-on experience building and deploying AI applications (Python, JavaScript, or similar) to demonstrate value.
• Strong business acumen and problem-solving skills, with the ability to structure ambiguous challenges into actionable solutions.
• Executive presence and communication skills to influence senior stakeholders (VP, C-level).
• Hands on experience building and deploying AI applications (Python)
• Resilient, results-driven, and comfortable leading through influence in a collaborative environment.
• Experience with sales qualification frameworks (e.g., MEDDPICC) and value-based selling is a plus.
Why This Role Matters You will play a pivotal role in shaping how enterprises adopt and deploy AI, ensuring Mistral’s solutions deliver measurable impact. By partnering with the Applied AI team, you’ll help turn strategic visions into production-ready solutions, making Mistral an indispensable partner for our customers.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: Hybrid - San Francisco, New York City, Austin
About Vercel:
Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
About the role
As a Senior Technical Account Manager, you’ll be the named technical owner for the mission-critical workload that anchors a strategic enterprise customer’s Vercel relationship, across a portfolio of concurrent accounts. You’ll work as a peer to customers’ VPs of Engineering and CTOs, take over the post-sales technical relationship from the Solutions Architect through a structured handover, and coordinate every Vercel team on the account, including Support, Engineering, Product, and Sales. Customers buy this engagement, so success is measured by renewal: your proactive architecture and cost work should be worth more than what the customer pays for it. The role has no on-call rotation, no production code, and no sales quota. This is a hybrid role with 3 in-office days per week in San Francisco, New York City, or Austin.
What you’ll do
Own the post-sales technical relationship for a portfolio of enterprise accounts, running weekly calls, monthly and quarterly business reviews, and an annual roadmap workshop
Co-own each account with the Account Executive: you own the technical relationship and the technical case for renewal
Take ownership of escalated incidents and recurring patterns, driving post-mortems, root-cause analysis, and remediation roadmaps, and respond to P1 and P2 escalations within 4 business hours
Run proactive architecture reviews, technical risk mapping, cost and usage optimization, and pre-launch readiness assessments
Scope and coordinate Forward Deployed Engineering, audits, workshops, and Professional Services projects on your accounts, and relay customer needs to Product and Engineering
What you need
5+ years in a customer-facing technical role at a platform, infrastructure, or developer tools company (TAM, Solutions Architect, Developer Success, Field Engineer, or technical consultant), owning strategic customer relationships including QBRs and renewals
Ran a technical platform at scale in a customer-facing role, with fluency in CI/CD pipelines, preview environments, release mechanics, and cost and performance patterns
Production architecture experience on AWS, GCP, or Azure
Ramped quickly on an unfamiliar technical product and earned customer trust
Can write a one-page executive summary of a complex technical situation for customer leadership
Willing to travel 4 to 8 times per year to customer offices, generally in-region
Bonus if you
Worked as a Technical Account Manager at a hyperscaler, infrastructure platform, or developer tools company
Built AI agents with the Vercel AI SDK, MCP servers, or similar frameworks
Run an annual roadmap workshop or Well-Architected Review-style engagement with an enterprise customer
The San Francisco, CA base pay range for this role is $163,000-$204,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.
Disclosures:
Privacy:
Please review our
Job Applicant Privacy Policy
for more information on how we handle your data.
Equal Opportunity:
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
Location: San Francisco
Workplace: onsite
About Unlimit
Unlimit is the global financial infrastructure for the borderless agentic economy. Designed to bridge the gap between fragmented local markets and the future of autonomous commerce, Unlimit provides the programmable operating layer for the world’s most ambitious businesses.
Through an integrated technology stack, the platform unifies global payment acceptance, programmable financial accounts, and digital asset rails into a singular financial layer. By mapping hyper-local payment ecosystems directly into its architecture, Unlimit enables businesses to move value and settle transactions instantly across continents.
Built on decades of hard-won regulatory depth and an extensive global license portfolio, the platform provides direct access to a massive global infrastructure. With major hubs in London, San Francisco, Singapore, São Paulo, and Mexico City, Unlimit is building the infrastructure that makes global expansion a matter of code, not geography.
About the Role
As an Account Manager, you will play a key role in driving growth and strengthening relationships across Unlimit’s merchant portfolio in the US market. This is a high-impact, revenue-focused role designed for someone who excels at building trusted partnerships, identifying growth opportunities, and delivering value to our clients.
You won’t just manage accounts; you will become a strategic partner to our merchants by developing long-term account plans, uncovering opportunities to expand our acquiring solutions, and helping our partners succeed in an evolving digital payments landscape.
What You’ll Do
Act as the lead consultant for key merchants and payment partners, aligning Unlimit’s innovative suite of products with their long-term business objectives.
Drive the commercial evolution of your portfolio by identifying high-value opportunities for expansion, integration, and cross-functional solution adoption.
Leverage deep data analytics to provide partners with actionable insights, optimizing their performance and reinforcing Unlimit’s position as an indispensable growth catalyst.
Collaborate with Global Product, Risk, and Engineering teams to refine the merchant journey, ensuring our infrastructure anticipates the needs of the US market.
Represent Unlimit at the highest levels of industry engagement, embodying our commitment to "unlimiting" business potential through trust, expertise, and personalized ownership.
Expertly navigate complex stakeholder environments, balancing high-stakes priorities with a focus on flawless execution and fiscal excellence.
Who You Are
3+ years of sophisticated experience in Payments, Acquiring, or Fintech Partnerships. You don’t just know the industry; you understand its future.
A proven track record of growing multi-million dollar portfolios through strategic upselling and value-based negotiation.
You possess the ability to translate complex data sets into compelling narratives that drive executive decision-making.
A proactive, resilient self-starter who thrives in high-velocity environments and views challenges as opportunities for innovation.
A high-EQ collaborator who brings energy to the team and champions a culture of high performance, inclusivity, and professional excellence.
What We Offer
Attractive remuneration package
Vacation, sick, and paid holidays
A modern office-based workplace with all necessary equipment located in Palo Alto, CA
A team of top international professionals to learn from
Multicultural working environment, growing opportunities, and many more
Join Unlimit Team now!
Unlimit is an equal opportunity employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion or belief.
Location: San Francisco
Workplace: onsite
About Unlimit
Unlimit is the global financial infrastructure for the borderless agentic economy. Designed to bridge the gap between fragmented local markets and the future of autonomous commerce, Unlimit provides the programmable operating layer for the world’s most ambitious businesses.
Through an integrated technology stack, the platform unifies global payment acceptance, programmable financial accounts, and digital asset rails into a singular financial layer. By mapping hyper-local payment ecosystems directly into its architecture, Unlimit enables businesses to move value and settle transactions instantly across continents.
Built on decades of hard-won regulatory depth and an extensive global license portfolio, the platform provides direct access to a massive global infrastructure. With major hubs in London, San Francisco, Singapore, São Paulo, and Mexico City, Unlimit is building the infrastructure that makes global expansion a matter of code, not geography.
Your Impact
As a Business Development Manager you will be the driving force behind Unlimit’s commercial growth in one of our most strategic markets. You will own and execute the go-to-market strategy, and establish Unlimit as a dominant fintech infrastructure partner across the region.
You will play a critical role in expanding our footprint across enterprise and high-growth segments, forging key partnerships, and unlocking new revenue streams. Working at the intersection of finance, technology, and AI-native infrastructure, you will help shape how businesses—and autonomous agents—interact with global financial systems.
What we’re looking for
We’re looking for a commercially driven, strategic leader with a strong track record in fintech or payments, and deep understanding of the US market.
Proven experience (5+ years) in commercial roles within fintech, payments, or financial infrastructure
Strong track record of driving revenue growth, scaling teams, and delivering against ambitious targets
Deep understanding of the cross border payments ecosystem
Experience building and executing go-to-market strategies for complex, API-driven or platform-based products
Strong network across enterprise, and high-growth tech companies in the US
Strategic thinker with hands-on execution mindset
Experience working in fast-paced, high-growth, and globally distributed organizations
Ability to collaborate cross-functionally with product, engineering, and operations teams
Exceptional communication, negotiation, and stakeholder management skills
What we Offer
The chance to create and shape a new direction for the business — leading landmark deals, opening new markets, and designing the global partner ecosystem from the ground up
Direct access to and influence with the executive leadership team, contributing to Unlimit’s international growth strategy at the highest level
The opportunity to represent Unlimit on the global stage: travelling internationally, meeting with senior industry stakeholders, and participating in flagship fintech and commerce events
A truly international team and a company culture that thrives on pioneering new markets, where innovation, ambition, and results are recognised and rewarded
Join Unlimit Team now!
Unlimit is an equal opportunity employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion or belief.
Location: Zurich
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
The role
As an AI Scientist, you will push the boundaries of AI by developing and scaling cutting-edge models. This role exists to advance Mistral’s mission of democratizing frontier intelligence, enabling businesses and consumers to benefit from open, high-impact AI systems. You will collaborate with a global, cross-functional team to design, build, and deploy models that solve real-world problems across reasoning, code, and multimodal applications. Your work will directly shape how AI integrates into daily life and enterprise operations.
What will you do
• Research and develop novel methods to push the frontier of large language models
• Work across use cases (e.g reasoning, code, agents) and modalities (e.g text, image and speech)
• Build tooling and infrastructure to allow training, evaluation and analysis of AI models at scale
• Work cross-functionally with other scientists, engineers and product teams to ship AI systems which have a real-world impact
What We're Looking For
• You are a highly proficient software engineer in at least one programming language (Python or other, e.g. Rust, Go, Java)
• You have hands-on experience with AI frameworks (e.g. PyTorch, JAX) or distributed systems (e.g. Ray, Kubernetes)
• You have high engineering competence. This means being able to design complex software and make it usable in production
• You are a self-starter, autonomous and a team player
Now, it would be ideal if
• You have hands-on experience with training large transformer models in a distributed fashion
• You are able to navigate the full MLOps stack, for instance, fine-tuning, evaluation and deployment
• You have a strong publication record in a relevant scientific domain
Note that this is not an exhaustive or necessary list of requirements. Please consider applying if you believe you have the skills to contribute to Mistral's mission. We value profile and experience diversity.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: UK, London
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
We're hiring a Senior or Staff Software Engineer to join our Data Engineering team based in London.
As the Data Platform Team, we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity.
We’re looking for experienced Engineers to help build our data platform from the ground up. You’ll have the opportunity to define its architecture, make key decisions, and shape how we handle and process petabyte-scale data in the near future.
WHAT YOU'LL DO
- Build the Capability Factory - an internal platform designed for everyone from software engineers to non-technical operators, enabling the entire organization to teach HMND robots new skills at scale, from raw data all the way to deployed capabilities.
- Curate, preprocess, and manage large-scale datasets for humanoid robot training - a corpus of robot telemetry growing toward petabyte scale.
- Design and operate highly scalable data pipelines and the compute infrastructure that powers them, ensuring reliability and throughput as data volume and team demands grow.
- Ensure the quality, accuracy, and consistency of training data across multiple concurrent projects and robot platforms.
- Collaborate with machine learning teams to shape the Capability Factory, streamline MLOps, and build the evaluation workflows that close the loop between training runs and real-world robot performance.
- Build data warehouse solutions and BI dashboards that give stakeholders across the organization clear visibility into data collection, model progress, and operational health.
- Establish and uphold best practices for data management - versioning, access control, security, and compliance.
WHAT WE'RE LOOKING FOR
- 5+ years of software engineering experience, with a track record of owning and delivering complex systems end-to-end, not just contributing to them.
- Strong backend engineering - designing and operating production-grade APIs and services: clean data modeling, reliable error handling, performance under load.
- Data engineering at PB+ scale - building and maintaining pipelines that move, transform, and validate large volumes of data reliably; understanding of batch and streaming processing patterns, data quality, and schema evolution.
- Workflow orchestration at scale - designing and operating multi-step automated pipelines with retries, observability, and graceful failure handling.
- Distributed systems fundamentals - you understand how things break at scale: eventual consistency, idempotency, backpressure, job scheduling, and failure modes in distributed compute and storage.
- Cloud infrastructure fluency - you have shipped and operated real systems on a major cloud provider; you think about cost, reliability, and security as first-class concerns, not afterthoughts.
- Container orchestration - deploying and operating workloads on Kubernetes at a level where you can debug scheduling issues, design resource allocation, and reason about cluster health without guidance.
- Full-stack range - comfortable building both the backend and the frontend of an internal product; you can own a feature from database schema to UI without handing off.
- Production ownership mindset - you've been on-call, triaged incidents under pressure, and improved systems after postmortems. You take reliability personally.
Nice to Have
- ML infrastructure or MLOps experience - understanding of how training jobs run, how model artifacts are managed, and what makes an evaluation pipeline trustworthy; you've worked alongside or directly supported ML researchers.
- Distributed compute frameworks - experience with large-scale parallel data processing, whether for data transformation, model training, or evaluation.
- Domain knowledge in robotics or embodied AI - familiarity with robot data formats, sensor telemetry, or the sim-to-real evaluation loop is a significant head start.
- BI and data warehouse experience - building data models and dashboards that translate raw operational data into decisions for non-technical stakeholders.
- Dual-cloud or multi-cloud storage - experience reasoning about cost, latency, and consistency tradeoffs across storage providers.
- Frontend product sense - beyond just shipping features, you have opinions about what makes an internal tool actually usable by non-engineers.
WHAT WE OFFER
- Competitive equity: stock options with meaningful upside as we scale.
- 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
- Private healthcare, including virtual and in-person care.
- Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in-office.
- Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
- Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Location: Remote Canada
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.
We are seeking a highly motivated Software Engineer II with strong experience in test automation to contribute to Developer Productivity, with a focus on Test Platform Engineering. The Test Infra team empowers developers to efficiently write, run, analyze, and maintain automated tests. The team’s goals include expanding testing capabilities; building and maintaining testing frameworks; optimizing test orchestration; improving post-run reporting; ensuring the performance and reliability of CI pipelines; introducing AI-driven solutions to enhance developer productivity; and promoting best practices for test automation across the organization.
As a Software Engineer II in Test Platform Engineering, you will play a key role in building and evolving the core testing infrastructure that supports engineering productivity across the organization. Your work will have a direct impact on how hundreds of engineers develop, validate, and deliver high-quality software. You will focus on designing and maintaining scalable, reliable, and developer-friendly frontend and backend test automation solutions, as well as CI pipelines, enabling teams to deliver changes with confidence and receive fast, actionable feedback. You will collaborate closely with the Engineering Manager and the team in Europe to continuously improve quality.
Affirm is growing fast and we want you to enable us to scale our products to 10x and beyond through building world-class systems that enable Affirm in its mission to provide honest financial products that improve lives.
What You'll Do:
Own, improve, and maintain integration and E2E test automation frameworks, along with their associated CI pipelines.
Design and implement technical solutions to optimize test execution time and enhance test stability.
Write technical specifications and ADRs, contribute to technical solution design, and collaborate with engineers across the company.
Support engineering teams by assisting with triage requests and sharing best practices for quality assurance and test automation.
Contribute to the evolution of the company’s overall test strategy.
With the support of your team’s tech lead and manager, you will break down larger projects into individual tasks, deliver them in multiple phases, and collaborate with others to ensure timely delivery of your work.
This role includes participation in an on-call rotation
What We Look For:
An East Coast location to enable smoother collaboration with European colleagues.
3+ years of experience in test automation.
Proficient in both TypeScript and Python.
Hands-on experience with Playwright and Pytest.
Experience in building and optimizing CI pipelines.
Experience with Docker and AWS.
Strong background in quality assurance, test design, and in-depth knowledge of testing techniques and methodologies.
Excellent communication and collaboration skills, both verbal and written, with proficiency in asynchronous communication methods such as tech specs, RFCs, wikis, and project plans.
Experience in building or enhancing test automation frameworks and infrastructure is highly desirable.
Mobile, infrastructure and performance test automation experience will be considered a significant advantage.
Eager to grow and continuously learn new skills.
You have mastered taking a simple problem or business scenario into a solution that interacts with multiple software components, and executing on it by writing clear, easily understood, well tested and extensible code.
Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders
Pay Grade - L
Equity Grade - 5
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company).
CAN base pay range per year: $133,000 - $183,000
Location - Remote Canada
This remote role is open only to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan.
#Li-Remote
Remote-first with flexibility built in
Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.
Benefits designed for you
Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:
Health coverage at no cost: We cover 100% of premiums for employees and their dependents.
Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.
Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.
We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.
For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.
By clicking "Submit Application," you acknowledge that you have read Affirm's
Global Candidate Privacy Notice
and consent to the use of your personal information as described.
leadSan Francisco, CA | New York City, NY | Seattle, WA
УдалённоseniorUnited States (Remote)
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ОфисParis; London; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
United States - Remote
ГибридNew York; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
leadГеография найма не уточнена
ОфисBoston, MA
San Francisco, CA
United States
seniorГеография найма не уточнена
ГибридPalo Alto; New York; San Francisco; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
seniorHybrid - San Francisco, New York City, Austin
ОфисseniorSan Francisco
ОфисSan Francisco
Zurich; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
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