Senior Product Engineer at Vivid
May no longer be active — verify on the employer site
At a glance
- Company
- Vivid
- Location
- Amsterdam, NL, Netherlands
- Work arrangement
- On-site
- Employment type
- Full-time
- Experience
- 5–10 years
- Working hours
- 40 hours
- Visa sponsorship
- Offered, according to the listing
- Posted
- Added to The Stack
✨ The Stack take on this Vivid job
- 🏢 Vivid has 4 jobs here, 4 with visa sponsorship see all
- 🛂 Visa: Highly Skilled Migrant permit. 30 or older: €5,942 a month guide
- 💡 No salary shown. Ask Vivid if it is above the minimum.
Updated 2026-11-05, from our data and official sources.
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About the role
Responsibilities:
- Lead end-to-end 0-to-1 product development: discovery, design, prototyping, launch and iteration.
- Define product scope, success metrics and experiments; run and evaluate experiments rapidly.
- Engage with users, support and data teams to validate real problems and prioritise solutions.
- Prototype quickly using AI tools (LLMs, agents, Copilot), scripts or no-code to validate hypotheses.
- Partner closely with engineering to assess architecture, unblock technical trade-offs and review approaches.
- Produce concise, technical product specs and take actionable steps to productionise winning ideas.
- Maintain hands-on involvement: write queries, inspect data pipelines and contribute code when appropriate.
Requirements:
- Degree in Computer Science, Software Engineering or related technical discipline.
- 5+ years in product management, product engineering or a similar, technically hands-on role.
- Comfortable coding in at least one language (Python preferred), using git and working with databases.
- Demonstrated experience shipping products from concept to live with measurable user impact.
- AI-native workflow: regularly use LLMs, agents and AI tools to accelerate prototyping and validation.
- Strong quantitative and analytical skills; able to make decisions with incomplete data.
- Clear communicator in English with experience writing technical specs engineers respect.
- Self-motivated, outcome-oriented and comfortable working autonomously.
- Nice-to-have: experience in fintech/regulation, early-stage startups, LLM orchestration, prompt engineering or product analytics.
Responsibilities
Own the end-to-end development of new products and features from discovery to launch while collaborating with engineering to define technical approaches. You will actively prototype ideas using AI tools, analyze data to drive decisions, and ensure the product delivers real value to users.
Requirements
Requires a degree in Computer Science or a related field and 5+ years of experience in product management or engineering. Candidates must possess strong technical skills, proficiency in at least one programming language, and an AI-native mindset.
Key skills
- Product management — in 242 other listings on The Stack
- Software engineering — in 194 other listings on The Stack
- Python — in 1200 other listings on The Stack
- Git — in 217 other listings on The Stack
- Database management — in 20 other listings on The Stack
- System architecture — in 171 other listings on The Stack
- AI orchestration — in 2 other listings on The Stack
- Prompt engineering — in 59 other listings on The Stack
- Data analysis
- Product analytics
- Technical communication
- Experimentation
- No-code tools
- LLMs
- Fintech
- Agile
On The Stack (as of 2026-11-05)
Frequently asked questions about Vivid
Is this Senior Product Engineer role still open?
It was posted on 2026-04-15. Listings more than 30 days old may no longer be active, so check Vivid's site before applying.
Does Vivid offer visa sponsorship?
This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Vivid's site.
Where is this role located?
The listing gives the location as Amsterdam, NL, Netherlands. It is marked on-site.
What skills does this role ask for?
The listing names: Product management, Software engineering, Python, Git, Database management, System architecture, AI orchestration, Prompt engineering, Data analysis, Product analytics, Technical communication, Experimentation, No-code tools, LLMs, Fintech, Agile.