Outsight’s software solutions track the motion of people and vehicles using 3D LiDAR data. Operators of transportation hubs like airports and train stations but also sport venues, road infrastructures and industrial sites can now access accurate and anonymous Spatial Intelligence data, in order to improve operations and increase user safety and satisfaction.

Our international team of scientists and engineers drive the development of our solutions from Paris, San Francisco, Sophia-Antipolis (Nice) & Hong Kong. To support our global outreach, we also operate a commercial office in Spain. You can find below an interesting link about who we are and what we do:Insights about

OutsightOur Passenger Flow Traffic Monitoring solution is trusted by the world’s leading airports and train stations across 4 continents. Additionally, our Car Traffic Remote Monitoring product is trusted by several Tier 1 customers, including BMW.

Context

We're looking for a Manager of Engineering Ops and Analytics to lead a transformative chapter in our organisation. This is a leadership role that sits at the intersection of DevOps, Data & BI, and Cloud Financial Management — reporting directly to the VP Engineering.

Responsibilities You will own three strategic pillars:

DevOps Transformation — Supervise and guide our DevOps function through a transition toward a cloud-first, managed-services architecture, improving reliability, scalability, and developer velocity around infra-as-code strategies.

Data & Analytics Foundation — Build from the ground up a data warehouse and Business Intelligence ecosystem to deliver product analytics, engineering performance metrics, and adoption insights that drive decision-making across our department and the company.

FinOps Practice — Design and implement a FinOps strategy to bring visibility, accountability, and optimisation to our cloud spend.

This is a hands-on leadership position ideal for someone who thrives in high-impact, cross-functional environments and wants to shape how a growing tech company operates and scales.

Looking back on your first 12 months

By the end of your first year, you will have:

Took over the automated provisioning strategy and infra-as-code implementation for our cloud-first transition.

Stood up a production-grade data warehouse (e.g., Snowflake, BigQuery, Redshift) integrated with a BI layer (e.g., Looker, Power BI); delivered initial dashboards for product usage, engineering velocity, and adoption KPIs.

Implemented cloud cost visibility across teams; introduced tagging standards, budgeting processes, and first optimisation initiatives with measurable savings.Built or reorganised a small, high-performing team; established rituals, documentation

Requirements for the roles

Leadership & Strategy

Proven experience leading or part of DevOps / Platform / SRE teams through significant infrastructure evolutions.

Track record of building or scaling a data warehouse and BI function — from architecture decisions to stakeholder adoption.

Ability to translate business objectives into technical roadmaps and communicate effectively with both engineering and executive audiences.

Technical Expertise

Deep familiarity with major cloud platforms (AWS, GCP, or Azure) and managed services (Kubernetes, serverless, PaaS offerings).

Solid understanding of data engineering fundamentals: ETL/ELT pipelines, dimensional modelling, modern data stack tooling (Python, DBT, orchestration tools).

Working knowledge of FinOps principles: cost allocation, showback/chargeback, reserved instances, rightsizing, and continuous optimisation.

Mindset

Pragmatic problem-solver comfortable operating in ambiguity.

Strong ownership mentality — you see gaps and fill them.

Collaborative leader who elevates others and builds trust across departments.

Nice to have (but not required):

Experience with Infrastructure-as-Code at scale (Terraform and cloud managed services like Terraform Cloud, ScalR.io; Pulumi, CloudFormation).

Hands-on background with observability stacks (Datadog, Honeycomb, Grafana, OpenTelemetry).

Familiarity with product analytics tools (Amplitude, Mixpanel) and how they complement a BI layer.

Prior exposure to FinOps tooling (CloudHealth, Apptio, nOps, native cloud cost explorers).

Experience in a B2B SaaS or product-led growth environment.

Why join us?

Be part of the team pioneering Spatial Intelligence solutions at unprecedented scale—the breakthrough technology transforming how the world’s most prestigious airports, infrastructure operators, and smart cities understand and optimize physical flows.

As a 7-time Gartner-recognized category-defining leader with dozens of global awards including “Edge AI Product of the Year,” “LiDAR Leader Award,” “CES Best of Innovation” and many more, we’re backed by 37 patents and deployments with the most prestigious (and challenging) customers across four continents.

Join our international team of world-class experienced engineers and business leaders solving humanity’s most complex spatial challenges, from passenger flow optimization to autonomous robotics coordination, while working at the cutting edge of 3D AI, LiDAR perception, and real-time analytics.

Supported by rock-solid investors including BNP Paribas, BPI France, Energy Innovation Capital and Demeter who back our long-term vision, this is your opportunity to shape how physical and digital worlds interact, with the resources, growth trajectory, and technical challenges that will accelerate your career in ways traditional companies cannot offer.

Outsight is an Equal Employment Opportunity employer that pursues and hires a diverse workforce. Outsighters don't make employment decisions on the basis of race, color, religion, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military status, or any other basis protected by local, state, or federal laws. Outsight also strives for a healthy and safe workplace, and prohibits harassment of any kind. If you have a disability or special need that requires accommodation, please let us know.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.