
1 - 10 employees
Founded 2011
🛍️ eCommerce
eCommerce • Digital Analytics • Training
Optimal Ways is an agency specializing in digital analytics and optimization for eCommerce. Based in Paris and Lille, the company focuses on enhancing the quality of data, analyzing customer journeys, and optimizing conversion rates on eCommerce sites and applications. With a team of experts in digital analytics, they provide strategic support and training to eCommerce teams, helping them maximize their performance and leverage data effectively. Optimal Ways is committed to sustainable eCommerce and is recognized for its responsible business practices through B Corp certification.
🕒 September 17, 2025
Improve your chances of getting an interview by checking your resume score before you apply.

1 - 10 employees
Founded 2011
🛍️ eCommerce
eCommerce • Digital Analytics • Training
Optimal Ways is an agency specializing in digital analytics and optimization for eCommerce. Based in Paris and Lille, the company focuses on enhancing the quality of data, analyzing customer journeys, and optimizing conversion rates on eCommerce sites and applications. With a team of experts in digital analytics, they provide strategic support and training to eCommerce teams, helping them maximize their performance and leverage data effectively. Optimal Ways is committed to sustainable eCommerce and is recognized for its responsible business practices through B Corp certification.
• Lead the 0→1 buildout and 1→n scaling of AI capabilities at Optimal Dynamics; set direction and establish engineering standards. • Own RAG initiatives end-to-end from problem framing and data readiness through prototyping, iteration, and production launch. • Establish foundational components and practices for document processing, indexing, retrieval, orchestration, and evaluation. • Select tools and approaches that balance quality, cost, and speed. • Build reliable services and APIs that are observable, secure, and designed for scale in a cloud environment. • Define success metrics (quality, latency, cost, safety) and drive continuous improvement via experimentation and data-driven decisions. • Create durable team assets (playbooks, test harnesses, checklists, and documentation) to make RAG development repeatable across products. • Collaborate cross-functionally with Product, Data/ML, Engineering, and GTM to translate ambiguous needs into shippable capabilities with clear business impact. • Mentor teammates and contribute to a strong engineering culture around AI systems and responsible deployment. • Make key architecture and tooling choices and evolve them as the team learns.
• 4+ years of proven industry experience building and operating backend, platform, or data services at production scale • Bachelor's degree in Computer Science, Electrical Engineering, Operations Research, or Mathematics/Physics • Proven track record delivering data or ML-powered features end-to-end (Discovery/Prototyping > Launch > Iteration) • Python Proficiency - you write well-tested & maintainable code. • API design expertise and experience with cloud services (preferably AWS) • Familiarity with information retrieval concepts and grounding AI systems in trustworthy data. • Comfort setting technical direction, selecting tools, and establishing engineering best practices for AI-focused builds. • Senior, hands-on engineer who can take a fuzzy problem from discovery to reliable production outcomes. • Pragmatic: balance quality, cost, speed, and risk to ship value iteratively. • Communicative: ability to align stakeholders and translate complex technical ideas into clear decisions. • Operational Owner: cares about reliability, observability, and measurable impact on customers and the business. • Nice to have: Experience introducing retrieval-augmented or knowledge-grounded AI capabilities in a product or platform context. • Nice to have: Exposure to evaluation methodologies for AI systems (quality, latency, cost, safety) and running experiments/A-B tests. • Nice to have: Background working with unstructured data pipelines, indexing, and search, whether homegrown or via managed services. • Nice to have: Experience mentoring engineers, uplifting practices, and creating reusable playbooks and templates. • Nice to have: Experience in the transportation, logistics, or broader supply chain industry. • Nice to have: Customer-facing collaboration comfort: gathering requirements, scoping MVPs, and measuring ROI post-launch.
• Competitive compensation, including Series C level equity • Health / Dental / Vision 100% covered for employee and 50% for dependents • Life Insurance, with optional supplemental insurance • Flexible Spending Account (FSA) • Health Spending Account (HSA) • 401(k) with match • Unlimited PTO (vacation, personal days, sick days, jury duty, military leave, bereavement) • 11 Holidays • Paid Parental Leave for all employees • Short-term and Long-term Disability Insurances, and AD&D Insurance • Fitness membership reimbursement • Commuter benefits
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