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Member Of Technical Staff (Infrastructure) - Paris

hcompany

Híbrido Hybrid Paris
Uncategorized Account Manager

Job Score

90 pts
Hybrid model (+80) Account Manager (+10)

About H:
H exists to push the boundaries of superintelligence with agentic AI. By automating complex, multi-step tasks typically performed by humans, AI agents will help unlock full human potential.

H is hiring the world’s best AI talent, seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning, and collaboration, where everyone has something to contribute.

About the Team: The Infrastructure team aims to make it seamless for our researchers and engineers to access and use the infrastructure they need to do their job.

The team also ensures the underlying infrastructure for our public services is robust, reliable and scalable.

Members of the Infra team are uniquely positioned to impact all areas of H, from building everything from our foundational models to our agents, all the way to our public services.

Key Responsibilities:

  • Designing and managing the infrastructure to support

    • Research efforts in Model and Agent development incl. training infrastructure, data pipelines and inference.

    • Product Engineering efforts on H Company’s agent platform including client-facing APIs and agent runtimes within various deployment scenarios (multi-tenant and on-prem).

  • Setup and maintain observability and monitoring strategies.

Requirements:

  • MUST HAVE

    • Observability and monitoring (Datadog, Prometheus, Grafana, …)

    • Good knowledge of a modern programming language (ideally Python or JS/Typescript)

  • NICE TO HAVE

    • ML Ops or Data Engineering

    • Experience architecting and deploying distributed systems on public cloud (AWS, Azure, GCP)

    • Containerization and orchestration tools (Docker, Kubernetes, …)

    • Infrastructure as code (CDK, Terraform, ...)

    • CICD management experience (Github Actions, Gitlab CI, TeamCity, ...).

Location:

  • Paris or London.

  • This role is hybrid, and you are expected to be in the office 3 days a week on average.

What We Offer:

  • Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startups

  • Collaborate with a fun, dynamic and multicultural team, working alongside world-class AI talent in a highly collaborative environment

  • Enjoy a competitive salary

  • Unlock opportunities for professional growth, continuous learning, and career development

If you want to change the status quo in AI, join us.

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About Account Manager

The Account Manager is the professional responsible for managing and expanding the relationship with clients after the sale. They act as a strategic partner, ensuring satisfaction, retention, and account growth, connecting client needs with company solutions.

Key skills include relationship management, negotiation, upsell and cross-sell, contract renewal, account planning, business reviews, metrics analysis (NPS, churn, LTV), and CRM knowledge (Salesforce, HubSpot). Communication, empathy, and business vision are fundamental differentiators.

Account Managers in technology and SaaS companies are highly valued, especially those who can increase recurring revenue (MRR/ARR) through account expansion and churn prevention. The field offers opportunities from account executive to director of accounts, with a focus on strategic relationship, revenue growth, and customer success.

Discover Other Areas

Understand the scope of work, key skills, and tools used in different career areas.

About Administrative

The Administrative area is responsible for ensuring the efficient functioning of all organizational operations. Administrative professionals manage processes, human resources, procurement, and facility management.

Key skills include process management, Office 365, administrative ERPs, compliance, and people management. Knowledge of automation and AI tools is becoming increasingly relevant.

The digitization of administrative processes has created new opportunities for professionals who master technology and management.

About Product Owner

The Product Owner (PO) is the professional responsible for maximizing the value of the product delivered by the development team. They act as the voice of the customer and stakeholders, managing and prioritizing the product backlog, defining clear user stories, and ensuring the team works on the most valuable items for the business.

Key skills include backlog management, user story writing, prioritization (Mascow, RICE), agile methodologies (Scrum, Kanban), and stakeholder communication. Knowledge of tools like Jira, Trello, Azure DevOps, and Miro is essential.

Product Owners are highly sought-after professionals in the technology market, working collaboratively with Scrum Masters, Product Managers, and engineering teams to drive agility and continuous value delivery.

About Automation Engineer

The Automation Engineer is the professional responsible for designing, developing, and implementing solutions that automate manual and repetitive processes in IT, infrastructure, testing, and operations. They combine programming knowledge with DevOps and SRE vision to eliminate manual tasks and increase operational efficiency.

Key skills include Infrastructure as Code (Terraform, Ansible, Pulumi), CI/CD (Jenkins, GitHub Actions, GitLab CI), test automation (Selenium, Cypress, Playwright), network automation (Netconf, SDN), RPA (UiPath, Power Automate), and scripting (Python, Bash, PowerShell). Knowledge of Kubernetes, GitOps (ArgoCD, Flux), and automation platforms is a differentiator.

Automation Engineers in technology companies are highly valued, especially those who can create automated deployment pipelines, self-healing infrastructure, and internal developer platforms (IDP). The field offers opportunities from junior automation engineer to automation architect and head of automation.

About People Analyst

The People Analyst is the professional responsible for transforming people data into strategic insights for HR decision-making. They combine data analysis knowledge with people management vision to help organizations understand workforce metrics, turnover, engagement, and diversity.

Key skills include people analytics, workforce analytics, turnover and retention analysis, HR metrics (time-to-hire, cost-per-hire, e-NPS), data visualization (Power BI, Tableau, Visier), workforce planning, and compensation analysis. Knowledge of statistics, SQL, and people analytics tools is a differentiator.

People Analysts in technology companies are highly valued, especially those who can translate complex people data into actionable insights for retention, diversity, and growth strategies. The field offers opportunities from HR analyst to head of people analytics, with a focus on data-driven people management.

About Systems Analyst

The Systems Analyst is the professional responsible for analyzing, designing, and implementing technology solutions that meet business needs. They act as a bridge between business areas and the development team, ensuring that systems deliver real value to the organization.

Key skills include requirements gathering and analysis, process modeling (BPMN), data modeling, technical and functional documentation, system integration (APIs, microservices), and knowledge of ERPs and CRMs. Tools like Jira, Confluence, Visio, and project management platforms are essential.

Systems Analysts in technology companies are highly valued, especially those who master agile requirements analysis (user stories, backlog), system integration, and solution architecture. The field offers opportunities from junior analyst to solution architect, with a focus on efficiency, quality, and technological innovation.

Career Guides

Technology Career Guide

Planning, skills, interviews, and professional growth in IT, Data Science, DevOps, and Product.

Read full guide →

Design Career Guide

UX/UI, Graphic Design, Product Design. Portfolio, tools, interviews, and growth in the Design field.

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Marketing Career Guide

SEO, Paid Media, Growth, Content Marketing. Certifications, tools, and strategies to grow in Digital Marketing.

Read full guide →

Finance Career Guide

Financial market, investments, corporate finance, certifications, and strategies to grow in the financial field.

Read full guide →

Communication Career Guide

Journalism, PR, Corporate Communication, Content Marketing, and Multimedia Production.

Read full guide →

Administration Career Guide

Business Management, HR, Logistics, Consulting, Project Management, and Entrepreneurship.

Read full guide →

Data Career Guide

Data Science, Data Engineering, BI, Machine Learning, and AI. From training to the job market.

Read full guide →

Product Career Guide

Product Management, Product Ownership, Agile, Scrum, and OKRs. From strategy to execution.

Read full guide →

Tech & Remote Glossary

Stop getting lost in interviews and job descriptions

The job market, especially within tech and global companies, has developed its own dialect. Not understanding these acronyms can make you lose valuable opportunities or poorly negotiate your contract. To end this problem, we created the Definitive Glossary for the Remote Professional.

🏢 Work Models & Routine

Async (Asynchronous Work)
A communication model where responses don't need to be immediate. Instead of back-to-back meetings, the team relies on well-structured documents, threads, and messages. It's the gold standard for global companies spanning multiple time zones.
Sync (Synchronous Work)
The opposite of Async. It requires the team to be online and available at the same time for meetings, live chats, and real-time collaboration.
Daily / Stand-up
A quick daily meeting (usually 15 minutes) common in Agile (Scrum) methodologies. The team answers three questions: What did I do yesterday? What will I do today? Are there any blockers?
All-Hands / Town Hall
A company-wide meeting involving all employees. Usually led by the founders (C-Levels) to present results, new goals, and answer team questions.
1:1 (One-on-One)
A recurring individual meeting between a professional and their direct manager. It is used for career alignment, feedback, and problem-solving, not just for project status updates.

💰 Contracts, Benefits & Compensation

PTO (Paid Time Off)
Instead of strict, categorized leave policies, modern US companies usually offer a flexible pool of days (e.g., 20 days of PTO, or even "Unlimited PTO") that you can use for vacations, sick days, or personal matters, while receiving your regular compensation.
Equity / Stock Options
Company ownership. The startup offers you the right to buy shares at a heavily discounted strike price in the future. If the company grows, goes public, or is acquired, these shares can be highly lucrative.
Vesting (Vesting Schedule)
The rule that controls your Equity. It usually lasts 4 years. You don't get all the shares on day one; you "earn" them gradually as you stay with the company. A "1-year Cliff" means you must stay for at least one year to receive your first batch of shares.
RSUs (Restricted Stock Units)
Unlike Stock Options (where you have the right to buy the stock), RSUs are actual shares the company grants you as a bonus or part of your compensation package, following a strict Vesting schedule.
Independent Contractor (1099 / B2B)
The most common international hiring model for global talent working for US companies. You act as a service provider (business-to-business), receiving the gross salary (often six-figure compensation) without standard local payroll tax deductions at the source.

🤖 Recruitment & Hiring Process

ATS (Applicant Tracking System)
The "robot" that reads your resume. Software like Greenhouse, Ashby, and Workday are used to filter candidates by keywords before a human even looks at the document. (Pro tip: this is why your resume must be clean, semantic, and have the right keywords).
JD (Job Description)
The document that lists the responsibilities, technical requirements, and benefits of the open position.
Cultural Fit
The interview stage that evaluates if your core values, communication style, and worldview align with the company's culture. This is the ultimate test of your Soft Skills.
Onboarding
The integration process. It's the period of your first few weeks at the company, where you get your access credentials, learn about the culture, study the internal documentation, and understand how the product works.

🚀 How to use this to your advantage?

The secret isn't just knowing what these acronyms mean, but using them actively. If during an interview for a premium tech role you ask, "How does your PTO policy and Vesting schedule work?", the recruiter will immediately perceive you as a high-level professional, familiar with the global market standards.

The remote job market requires preparation. And having the right vocabulary is the first big step to securing six-figure proposals and standing out among thousands of applicants.

Expert Tip

Data-Driven: How Data Defines Company Success or Failure

The Data-Driven Era: How Data Culture Defines Company Success or Failure

Published by Mondywork | Category: Data / Business Intelligence

The End of Corporate Gut Feeling

In the past, major business decisions were made based on intuition, previous experience, or the famous "gut feeling" of directors (what the market refers to as the HiPPO - Highest Paid Person's Opinion). Today, however, in a highly competitive and globalized corporate ecosystem, relying on guesswork is the fastest recipe for bankruptcy.

Digital transformation didn't just connect processes; it generated a massive volume of information. The companies that thrive are those that know how to capture, clean, and transform this raw data into actionable insights.

"Data-driven organizations are 23 times more likely to acquire customers, six times as likely to retain those customers, and 19 times as likely to be profitable as a result."
— McKinsey Global Institute Study

What Does it Mean to Have a Data-Driven Culture?

Being Data-Driven doesn't just mean subscribing to expensive Analytics tools or having a beautiful dashboard on the office wall. It's a fundamental shift in organizational culture, where truth is sought in the numbers before any action is executed.

  • Predictability: Predictive models allow companies to forecast market trends, customer churn, and operational bottlenecks before they happen.
  • Risk Mitigation: Decisions based on statistics drastically reduce the margin of error in investments and new product launches.
  • Personalization at Scale: Behavioral analysis enables marketing to deliver exactly what the user wants, right when they have the highest propensity to buy.

The Impact of Business Intelligence (BI) and Big Data

To extract the true value from information, companies are building robust Business Intelligence (BI) and Big Data departments. ETL (Extract, Transform, Load) processes, Data Lakes architecture, and the mastery of software like Power BI and Tableau have become the backbone of top-tier US startups and unicorns.

The Harvard Business Review has repeatedly highlighted that the professional who can translate complex data into business language is a modern corporation's most valuable asset. It's not enough to have the data; you must know how to tell a story with it (Data Storytelling).

The Job Market: The Hunt for Data Talent

With this paradigm shift, the demand for Data Engineers, BI Analysts, Data Scientists, and Analytics Engineers has skyrocketed. International companies—especially in the US and Europe—are aggressively hiring global professionals for 100% US Remote roles, offering highly competitive six-figure compensation packages.

For these companies, which use rigorous Applicant Tracking Systems (ATS like Ashby, Workday, and Greenhouse), the ideal candidate is one who seamlessly blends technical mastery (SQL, Python, DAX) with a sharp business acumen.


References and Recommended Reading

  • McKinsey & Company: The data-driven enterprise of 2025.
  • Harvard Business Review: How to Build a Data-Driven Culture.
  • Gartner: Top Trends in Data and Analytics.

Master the art of turning data into revenue?

The best US startups and global tech companies are actively looking for analytical professionals like you, offering remote roles with premium compensation. Don't miss out on the top Data, BI, and Machine Learning opportunities in the market.