AI Ops Product & Tech · Paris ·
What We Do
Born in 2021 from the desire to make cities less polluted and quieter, Electra is helping to shift usage towards electric mobility by tackling the main barrier: charging.
Electra is constantly innovating to make electric vehicle charging easier , with a network of fast charging stations (20 minutes on average) and a maximally simplified user experience.
Based in Paris, Lyon, Bordeaux, Nantes, Brussels, Madrid, Zurich, Vienna, Munich, Milan and Amsterdam, Electra's teams aim to deploy a network of 15,000 fast charging points by 2030 , proud to contribute to the energy transition in Europe.
In 5 years, we have:
Deployed +650 stations and over 4,000 fast-charging points
Secured thousands of stations to establish Electra as a leader in the European market
Opened several offices in France and Europe
Raised over €1 billion in equity and debt financing from renowned investors and institutions
Joined the French Tech Next 40 and won the European Scale-up of the Year 2024 award
Assembled a team of over +250 talents… and this is just the beginning!
Your Mission
Within the Operations HQ team, you will own Electra's internal AI productivity roadmap: identifying high-impact bottlenecks and turning them into shipped workflows (prototype → deploy → iterate), enabling teams to adopt AI sustainably through training, documentation, and champions, and ensuring the right guardrails are in place around privacy, security, reliability, and auditability.
Your role is built around three pillars:
AI Strategy & Delivery : owning the vision, priorities, and end-to-end execution of AI initiatives across Ops functions
Workflows, Automations & Integrations : designing, deploying, and maintaining AI-powered workflows and system integrations
Enablement & Governance : building the capabilities, standards, and guardrails that empower teams to use AI reliably and at scale
Your Responsibilities
1. AI Strategy & Delivery
Own the AI productivity roadmap
Partner with Ops teams to identify high-leverage bottlenecks and define a sequenced delivery plan
Run discovery with teams: map current processes, surface pain points and constraints
Translate needs into clear problem statements, success metrics, and prioritized initiatives
Drive end-to-end execution of AI initiatives
Build quick prototypes, validate with users, then harden for production (ownership, monitoring, documentation)
Keep humans in the loop for high-risk steps (approvals, customer communications, finance/legal decisions)
Track adoption (WAU, retention) and impact (cycle time, manual steps removed, AHT, cost savings)
2. Workflows, Automations & Integrations
Design and deploy AI workflows using AI/no-code tools
Build automations using tools such as Dust, Zapier, Notion AI, and Claude
Set up quality controls (sampling, scoring, exception tracking) and regression monitoring
Build and maintain system integrations
Create and maintain REST API and webhook connections
Handle auth (OAuth/API keys), permissions, and access control patterns
Implement data transformations and routing (JSON/XML), plus basic data quality checks
3. Enablement & Governance
Produce documentation that scales
Architecture notes, runbooks, prompt/workflow patterns, and "how to use" guides
Clear ownership: who maintains what, and how incidents/escalations are handled
Run enablement and change management
Workshops, office hours, playbooks, and onboarding for new joiners
Build and support a network of "AI champions" across each Ops function and country
Coordinate governance and tooling decisions
Work with IT, Security, Legal, and Data teams on compliant deployments (PII, vendor reviews, approvals)
Rationalize tooling to reduce redundancy and control cost (what to keep, what to retire, what to buy)