
Summary
Do you know how to transform repetitive tasks and fragmented processes into reliable, maintainable automations that are truly useful to teams?
HyperOps is looking for experts capable of understanding business operations, designing the appropriate architecture, and deploying automations that integrate APIs, code, or artificial intelligence when it delivers concrete value.
Your role at HyperOps
You act as an Automation & AI consultant-builder for our clients: the person who understands and challenges the need is also the one who designs, develops, and secures the solution.
Depending on the mission, you will be able to:
steer the design and deployment of end-to-end automation
support a team that is building or evolving its own workflows
audit and improve the reliability of existing automations
connect multiple tools around a business process
develop a script or a specific integration
integrate AI into a workflow when its use is relevant
intervene occasionally on a complex technical issue
We are not looking for someone who mechanically automates every request. We expect you to understand the process, identify what needs to be simplified, and recommend the most reliable solution.
Successful automation is not just about working during a demo. It must handle errors, edge cases, data quality, and future evolutions.
On implementation projects, the objectives, business scope, and main deliverables are defined before your intervention. You then deepen your understanding of how the client works, organize priorities, and progressively deploy the solution with the future users.
The missions you will be able to work on
HyperOps projects mainly concern the automation of sales, projects, delivery, and operations:
qualification and routing of incoming requests
enrichment, cleaning, and synchronization of data
creation or update of opportunities in a CRM
generation of quotes, contracts, invoices, or business documents
automation of follow-ups and reminders
meeting preparation and minutes generation
triggering onboarding processes after a sale
synchronization between CRM, business tools, messaging, and financial software
data extraction and structuring from documents
classification, synthesis, or analysis of content with AI
creation of internal assistants connected to company data
development of scripts and specific integrations
audit, optimization, and recovery of existing automations
setting up error tracking, alerts, and recovery mechanisms
When the project requires other skills, you can collaborate with our Airtable experts, our Attio & RevOps specialists, or our Head of Design.
What you will do in practice
Depending on your role in the mission, you may be required to:
facilitate workshops directly with the client and their teams
identify manual tasks, duplicates, and friction points
distinguish deterministic rules from steps that can benefit from AI
define the technical architecture and data flows
configure scenarios on Make, n8n, or other platforms
connect APIs and manage their authentication mechanisms
develop scripts in JavaScript, TypeScript, or Apps Script
design the necessary prompts and structured outputs
integrate human validations when the level of confidence requires it
manage errors, rate limits, API limits, and retry mechanisms
prevent duplicates and ensure the idempotency of processes
set up logs, alerts, and monitoring mechanisms
test happy paths and edge cases
document flows, dependencies, and maintenance procedures
train the client in using and monitoring the solution
support the deployment and ensure the planned corrective follow-up
You must be as comfortable understanding a business process as you are designing its technical architecture.
The profile we are looking for
You have already led at least three automation or integration projects that have been put into production and are used by real teams.
Among these experiences, you have already taken charge of:
at least one end-to-end project, from understanding the need to deployment
at least one integration based on an API, a webhook, or custom code
at least one workflow integrating AI into a real business process
You know how to assess the risks of an automation, explain its limitations, and recognize situations where a manual step remains preferable. You place as much importance on reliability, testing, and maintenance as you do on build speed.
Training and Achievements
Make, n8n, OpenAI, or other tool-related certifications are appreciated, but they are not mandatory.
We place more importance on the quality of your achievements, your reasoning, and your ability to explain your technical choices.
You will be able to present your experiences in a format compatible with your confidentiality commitments: anonymized screenshots, video, architecture diagram, log extracts, demonstration, or case study.
Skills that are a plus
mastery of Airtable or Attio
mastery of Python, SQL or a cloud environment
experience with OCR and document processing
knowledge of vector databases and RAG architectures
skills in security, access management and data protection
experience with AI agents and tool calling
sensitivity to user experience
the ability to produce educational content or share your expertise
We are not looking for a profile capable of mastering all technologies. Above all, we are looking for an excellent automation expert, capable of choosing a reasonable architecture and calling upon another skill when it becomes necessary.
Why join HyperOps?
HyperOps takes care of acquisition, qualification of opportunities, and the contractual framework of missions. This allows you to devote more time to your expertise and the success of projects.
You work directly with clients, without multiplying intermediaries between understanding the problem and technical delivery. You work on automations integrated into real business processes, rather than on isolated demonstrations or user-less experiments.
You also join a team of specialists with whom you can collaborate, share your practices, and challenge certain functional or technical decisions. Optional exchange sessions are regularly offered between experts to discuss issues encountered on projects and collectively improve the quality of deliverables.
A collaboration tailored to your activity
You maintain your independent activity and remain free to accept missions that match your expertise, availability, and desires.
When you accept a mission, you commit to the agreed pace for its duration. The context, responsibilities, estimated workload, and collaboration conditions are presented to you before your decision.
The collaboration is carried out mainly remotely. Remuneration is defined on the basis of an ADR (Average Daily Rate) agreed upon together.
Applications are reviewed year-round, even when no immediate opportunity matches your availability.
This collaboration will suit you if…
you like to understand a process before automating it
you wish to advise as much as to build
you are comfortable managing your exchanges directly with clients
you prefer a simple and robust solution over an needlessly complex architecture
you consider errors and edge cases right from the design stage
you know how to explain the limits of an automated or AI-based system
you value testing, logs, and documentation
you prefer to deploy progressively and observe real usage
you appreciate autonomy while being able to collaborate with other experts
you know how to recognize when automation is not the right answer
It will suit you less if you are only looking for scenarios to execute without understanding their context, AI experiments without business stakes, fully frozen specifications, or a guaranteed volume of missions.

Do you design automations that stand the test of time?
Tell us about your background, your most representative achievements, and how you like to support your clients.