Product Support Engineer, Ekimetrics

$85k

+ Generous bonus package

MongoDB

Kubernetes

Redis

Node.js

RabbitMQ

JIRA

Angular 14+

Mid and Senior level

New York

More information about location

3+ days a week in office

Data science & AI for sustainable business performance

Be an early applicant

Data science & AI for sustainable business performance

201-500 employees

B2BArtificial IntelligenceMarketingBusiness IntelligenceSaaSData Analysis

Be an early applicant

$85k

+ Generous bonus package

MongoDB

Kubernetes

Redis

Node.js

RabbitMQ

JIRA

Angular 14+

Mid and Senior level

New York

More information about location

3+ days a week in office

201-500 employees

B2BArtificial IntelligenceMarketingBusiness IntelligenceSaaSData Analysis

Company mission

To help companies get more from their data and implement pre-packaged AI solutions, so they can combine high impact with long-term business purpose.

Job

Company

Role

Who you are

Bachelor’s or Master’s degree in Computer science, Engineering, Information Systems, or equivalent practical experience
3 – 5 years of product support and cloud experience
Familiarity with software engineering, cloud & platform engineering (Kubernetes, Redis, Helm charts, ArgoCD), and tracking tools (Jira & Jira Service Management, Compass, New Relic)
Demonstrated ability to investigate platform behavior, troubleshoot across the stack, and identify root causes in production environments
Skilled in diagnosing complex technical issues, even without coding
Leverages strong organizational and incident-management capabilities to prioritize, track, and resolve problems
Experienced in collaborating effectively with globally distributed teams to drive issue resolution
Strong communicator able to translate technical concepts into clear, actionable guidance for internal stakeholders, maintaining a customer-satisfaction mindset even without direct client interaction
French language fluency a bonus but not necessary

What the job involves

As a Product Support Engineer at Ekimetrics, you will play a pivotal role in supporting and strengthening our technical ecosystem across core applications and the “as-code” solutions that are especially central to our US operations. This role combines Support & Platform Engineering, giving you deep exposure to production environments while collaborating directly with global engineering teams
Provide L1/L2 support for core applications and as‑code components used within the US region
Diagnose issues across the full technical stack, frontend, backend, data, cloud infrastructure, and monitoring layers
Interact with internal users to understand issues, reproduce scenarios, and drive toward resolution
Access and operate within US client production environments while following strict security, compliance, and operational protocols
Use the full tech stack (e.g., Kubernetes, Node.js, MongoDB, Angular, RabbitMQ) to identify root causes and escalate to the appropriate engineering teams when necessary
Maintain and improve support processes and documentation, building on best practices established globally
Partner with Platform Engineering teams to enhance system reliability, scalability, observability, and resource efficiency
Troubleshot platform level issues such as pod behavior, resource limits, memory configuration, and deployment workflows
Contribute to reducing recurring incidents through proactive improvements in tooling, automation, and platform behavior
Collaborate with global engineering teams to ensure alignment across regions
Serve as a key technical partner to US delivery teams, helping triage issues and ensuring smooth operations
Coordinate with global teams in France and other regions to share learnings, escalate product-level bugs, and contribute to continuous improvement across the engineering organization
Work closely with platform and cloud engineering to ensure high performance and resilience across production environments

Our take

Making sense of data can help companies unlock incredible opportunities, but it can be difficult to maximise its rewards. Ekimetrics solves this problem by acting as a data consultant to companies and helping them to secure immediate business gains through data science and AI.

The company is active in numerous countries, owing its success in part to its ability to offer an "industrialised" data science experience. This has allowed it to onboard big-name partners such as Facebook, Google and Snap, firmly establishing itself as a leading force in the data science sector.

With its impressive funding and recognition, Ekimetrics has made a strong name for itself so far. It continues to expand internationally, introduce new products, and has completed its first acquisition with the purchase of AI customer analytics platform Actable.

Freddie

Company Specialist at Welcome to the Jungle

Insights

8% employee growth in 12 months

Glassdoor (4.2)

Company

Funding (1 round)

Nov 2020

$27.6m

GROWTH EQUITY VC

Total funding: $27.6m

Company benefits

An emphasis on work-life-balance and 5 PTO days and holidays
Close-knit team with friendly environment, bi-monthly team events and more
Unique internal training package with 70+ sessions in our Eki.Academy digital platform

Company HQ

Faubourg-Montmartre, Paris, France

Leadership

Jean-Baptiste Bouzige

(CEO & Co-Founder)

Previously worked as Business Planner at Eurostar, and as a Consultant at DDB Matrix.

Francois Poitrine

(GM & Co-Founder)

Previously worked as a Business Developer at Heykom, and as a Consultant at DDB Matrix.

Paul Seguineau

(Global Deputy GM & Co-Founder)

Previously worked as a consultant at Rapp Collins Paris.

Quentin Michard

(GM & Co-Founder)

Previously worked as a PhD Research Associate at L'Oréal.

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