Customer Success Engineer

Tamarind Intelligence; Barcelona; Híbrido; EUR 60.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work in Barcelona

Premium health insurance via Alan

Apple equipment

Learning resources

Descripción de la vacante

Dialog seeks a Customer Success Engineer to be the first line of defense for our customers’ day-to-day technical issues, helping us maintain high support quality as we scale. You will own L1/L2 operations across Shopify/PrestaShop integrations, configuration, front-end behavior, tracking, and AI behavior questions.

You will also build playbooks, runbooks, and automation to reduce recurring issues. The role demands a background in software engineering, experience with Typescript/Python, and

Formación

• Background in software engineering.
• Experience with scripting languages (Typescript, Python).
• 0–3 years in a technical, customer-facing role.
• Web debugging fundamentals with browser DevTools and JS/TS basics.
• Fluent in French and English (B2+).
• Backend/infra literacy is a plus.

Responsabilidades

• Own L1/L2 operations end-to-end for customer issues.
• Triage, reproduce, diagnose, and document technical problems across Shopify and PrestaShop integrations.
• Investigate AI behavior traces and identify concrete product/engineering improvements.
• Create runbooks, playbooks, and self-serve docs to reduce recurring issues.
• Collaborate with Solution Engineering and Customer Success teams to scale support.

Conocimientos

Software engineering background

Typescript

Python

0-3 years

Web debugging

Descripción del empleo

Customer Success Engineer --- Full-time

At Dialog, we are on a mission to build the best sales agent for e-commerce.

We believe generative AI is the perfect opportunity to bring the best of the in-store experience online:

• extensive knowledge about the brand and its products
• tailored advice based on previous orders

We launched on Shopify with Q&A on product pages. In 2026, we're scaling Dialog to new e-commerce engines and upgrading the experience with smarter qualification, an agent that runs across the entire store, and AI-powered search.

We wrote our first line of code in January 2024, started commercializing in September 2024, raised $4.4M in November 2025 and now have more than 100 paying customers.

The role

We are looking for a Customer Success Engineer to be the first line of defense for our customers' day-to-day technical issues, and to help us keep support quality high as we scale.

You will own our L1/L2 operations end-to-end across the technical topics that make Dialog work in production: Shopify and PrestaShop integrations, configuration, front-end behavior, tracking and events, and AI-behavior questions.

• L1 --- first line: triage, recurring requests, known fixes, and documented responses.
• L2 --- second line: deeper reproduction and diagnosis, undocumented cases, before escalating to engineering.

The challenge as Dialog grows fast: keep support fast and high-quality while making sure it doesn't scale linearly with revenue, by resolving issues well and removing their root cause over time.

You will also investigate how our AI agent behaves in the real world: reading our AI agent traces end-to-end, spotting failure modes such as retrieval issues, tool errors, prompt gaps, or missing context, and translating what you find into concrete improvements for product and engineering.

And you will turn recurring problems into leverage: playbooks, runbooks, self-serve docs, and automation, including AI-assisted triage and responses, so the team and our clients stop hitting the same issue twice.

You will work closely with the Solution Engineering team, and the AM / Customer Success team. This role is for someone who enjoys solving concrete technical problems for customers, cares about doing things rigorously, and is genuinely excited to level up technically as the team grows.

Mission

• Own L1/L2 operations end-to-end
• You will be the go-to owner for incoming technical issues: Shopify and PrestaShop integrations, configuration, front-end behavior, and tracking/events. Your loop is reproduce → diagnose → fix (or apply a known workaround) → document, freeing senior engineers and AMs from repetitive work.
• Enable customers and handle recurring asks
• You will help customers and partners apply recommended fixes (docs, snippets, validation), support the onboarding of complex stores (custom themes, edge cases) without blocking sales, and take recurring client asks (reports, invoices, status updates) off the team's plate.
• Drive faster time-to-resolution and keep the backlog under control
• You will reduce median time-to-resolution on OPS tickets and keep the backlog healthy, escalating cleanly and with the right context whenever an issue needs engineering.
• Industrialize support
• You will default to fixing the class of problem, not the single ticket: when an issue repeats, you step back and solve it once for everyone. You will build and maintain runbooks and docs, automate recurring tasks, including with AI (agents, scripts, LLM-assisted triage and responses), and enable OPS and AM to self-serve on known cases so repeat load drops as we scale.
• Investigate AI behavior with Langfuse
• You will read traces end-to-end to understand client questions, context, tool usage, and failures, produce actionable conclusions (misconfig, missing data, retrieval issues, tool errors, prompt gaps), and communicate them to product and engineering, tracking fixes to closure.

What we are looking for

• A background in software engineering is preferred.
• Experience in at least one scripting language: Typescript, Python...
• 0--3 years of experience in a technical, customer-facing role : Customer Success Engineer, Technical Account Manager, Solution Engineer, or technical support. We deliberately optimize for coachability, autonomy, and customer sense over seniority.
• Web debugging fundamentals: you are comfortable with browser DevTools (console, network, DOM), have solid JS/TS basics, understand async behavior and common front-end pitfalls, and can reason about theme-specific DOM and event listeners.
• Problem-solving & ownership: you turn ambiguous client reports into reproducible steps, prioritize impact, ship pragmatic fixes, and follow issues through to closure.
• Customer communication: you explain technical issues to non-technical stakeholders and set expectations and timelines clearly.
• Drive to solve real customer problems: you like being close to customers, digging into concrete technical issues, and shipping fixes that actually land. You get real satisfaction from turning problems into playbooks, docs, and automation so they don't come back.
• Coachability & eagerness to grow: you welcome feedback, iterate fast, ask for help efficiently, and want to level up technically.
• Fluent in French and English (English at B2 or above): you work day-to-day with both clients and the team in both languages.
• Basic backend/infra literacy (nice to have): you understand APIs, HTTP, logs, and observability concepts well enough to collaborate efficiently with backend engineers.
• Early-stage builder: you thrive in a fast-paced environment, are autonomous and curious, aren't afraid of changing priorities or a bit of chaos, and have a strong bias toward action.

Why join Dialog

• Work on a concrete AI product with real business use cases and direct impact on sales and customer experience for e-commerce brands. Your work keeps Dialog running smoothly for millions of shoppers every month.
• Sit right at the intersection of customers, product, and engineering: you'll debug real problems, shape how our AI agent behaves, and see your fixes land across our entire client base.
• Join a small, highly skilled, and enjoyable team, own L1/L2 from day one, and grow as the team scales, toward Solution Engineer, CS / Support Lead, or Ops Lead.

Hiring process

1. Intro call with Baptiste to understand your background, motivations, and introduce Dialog.
2. Hiring manager interview with Paul-Arthur to dig into your posture, customer sense, ownership, and ways of working.
3. Technical interview with Louis, Dialog CTO, covering web debugging fundamentals, backend / infra literacy, and AI trace investigation.
4. 30-minute call with Antoine, Dialog CEO.

Benefits

Competitive package: We hire top talent and offer competitive market compensation and equity packages.

Team-first culture: The whole team gathers monthly for events, 2 times per year for off-sites.

Hybrid work: We hire candidates based in Barcelona, with 3 days per week in the office

Sweet office : Nice, bright office in Barcelona, shared with other teams

Everything you could expect:

• Premium health insurance via Alan
• The latest Apple equipment
• Access to the tools (Cursor, Claude Code...) or ressources (books, courses) you need
• WellHub