3 weeks ago

Technical Product Manager - Toqan

Prosus

Amsterdam

3 weeks ago

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Toqan is Prosus' internal AI platform, and we are looking for a Technical Product Manager to own the platform's product direction and drive adoption across Prosus teams and portfolio companies. This hands-on, high-ownership role involves defining the product roadmap, working with internal teams to scope use cases, and acting as the interface between engineering and stakeholders. The ideal candidate has 4+ years of product management experience, technical fluency in GenAI, and experience with AI coding tools.

AI-enabledRemoteFull-timeMid LevelProduct ManagementAI

Technical Product Manager - Toqan

Apply

AI-enabledRemoteFull-timeMid LevelProduct Management

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

Remote

Experience Required

4 years

Employment Type

Full-time

Experience Level

Not Applicable

Core Qualifications

Technical (Must-have)

Product ManagementAIGenAIPromptingEmbeddingsRAGEvaluationClaude CodeCursorStakeholder ManagementTechnical CommunicationAnalytical RigorMVP DefinitionUser StoriesAcceptance Criteria

Soft Skills

CommunicationOwnershipDecisivenessCustomer-first mindsetPushing backCourse-correcting

Preferred Qualifications

Technical (Nice-to-have)

Internal ToolingPlatform ProductEnablementComputer Science

Key Responsibilities

•Own the Toqan product roadmap: prioritize features based on internal team feedback, technical feasibility, and business impact.
•Sharply identify what's actually important right now — dig into the core of the problem you're solving and cut it into smaller, executable pieces rather than trying to do everything at once.
•Shield the team from external noise and distractions, making sure engineers stay focused on technical execution rather than getting pulled into every incoming request or stakeholder concern.
•Drive adoption: work directly with teams across Prosus to scope use cases, define MVPs and success criteria, and get them to first production value.
•Translate ambiguous needs into clear requirements, user stories, and acceptance criteria for the engineering team.
•Be the primary interface between Toqan's engineering team and internal stakeholders, communicating trade-offs, timelines, and priorities clearly in both directions — including pushing back on stakeholders or senior leaders when their ask isn't the right one.
•Get hands-on with the platform: test prompts, evaluate model outputs, understand where Toqan works well and where it breaks.
•Define and track adoption and usage metrics. Know which teams are getting value and which aren't, and why.
•Anticipate risk and determine the right bets to take — then commit, execute decisively, and course-correct as new information comes in rather than second-guessing the plan indefinitely.
•Build reusable playbooks from what works, so onboarding new teams gets faster over time.
•Communicate and train: host webinars and enablement sessions for internal teams adopting Toqan.
•Stay current on the GenAI landscape (models, frameworks, evaluation methods) and bring relevant developments back into the roadmap.

Product ManagementAI PlatformGenAITechnical Product ManagerRemoteFull-timeAmsterdamProsus

Key Responsibilities

•Own the Toqan product roadmap: prioritize features based on internal team feedback, technical feasibility, and business impact.

•Sharply identify what's actually important right now — dig into the core of the problem you're solving and cut it into smaller, executable pieces rather than trying to do everything at once.

•Shield the team from external noise and distractions, making sure engineers stay focused on technical execution rather than getting pulled into every incoming request or stakeholder concern.

•Drive adoption: work directly with teams across Prosus to scope use cases, define MVPs and success criteria, and get them to first production value.

•Translate ambiguous needs into clear requirements, user stories, and acceptance criteria for the engineering team.

•Be the primary interface between Toqan's engineering team and internal stakeholders, communicating trade-offs, timelines, and priorities clearly in both directions — including pushing back on stakeholders or senior leaders when their ask isn't the right one.

•Get hands-on with the platform: test prompts, evaluate model outputs, understand where Toqan works well and where it breaks.

•Define and track adoption and usage metrics. Know which teams are getting value and which aren't, and why.

•Anticipate risk and determine the right bets to take — then commit, execute decisively, and course-correct as new information comes in rather than second-guessing the plan indefinitely.

•Build reusable playbooks from what works, so onboarding new teams gets faster over time.

•Communicate and train: host webinars and enablement sessions for internal teams adopting Toqan.

•Stay current on the GenAI landscape (models, frameworks, evaluation methods) and bring relevant developments back into the roadmap.