Director of AI Products
⚲ Warszawa
12 000 - 15 000 USD netto (B2B)
Wymagania
- AI
- LLM
- Product Management
Opis stanowiska
💰 Salary: 12,000-15,000 USD/Month
💻 Warsaw, Hybrid (4 days/week)
🕦 Full-time
☑️ B2B
We are looking for a Director of AI Products to join a New York-headquartered AI company building infrastructure for enterprise AI agents. The platform encodes a company's policies, workflows, and operational logic into a structured data model, so agents produce auditable, repeatable outcomes instead of plausible-sounding guesses. Customers include global consumer brands, logistics operators, and financial institutions.
Requirements:
• Product leadership experience, including hiring, managing, and developing a team of product managers
• Track record of contributing to product strategy and converting it into shipped, measured outcomes rather than roadmaps that stall
• Practical experience building with LLMs and agent systems: evaluation frameworks, handling non-determinism, designing for user trust under probabilistic output, and separating what is buildable now from what is not
• Demonstrated prioritization: deciding what does not get built, optimizing for outcome rather than volume of releases, and declining work without damaging relationships
• Direct customer contact as a working habit, with impact defined in the customer's metrics
• A stated position on where the agentic AI market is heading and how to position against it
• Experience building for enterprise security requirements, including how sensitive data moves through AI workflows
• Written and verbal communication that survives contact with engineers, executives, and buyers, without jargon
• Daily use of AI tools inside your own product workflow, with a verification standard applied to the output
Nice to Have:
• Production experience with agentic systems: tool calling, orchestration, retrieval, or LLM-backed products at scale
• Experience shipping or selling to enterprise buyers with audit, reliability, and trust requirements
• Technical depth sufficient to hold credibility with senior engineers and assess feasibility independently
Key Responsibilities:
• Shape product direction alongside the CEO and CTO, then sequence the bets and set the delivery plan
• Lead, hire, and grow a team of AI-native product managers, and raise the hiring bar as the team scales
• Work hands-on with designers and engineers from problem definition through shipped product
• Ship agentic AI products enterprises can rely on, with the evaluation infrastructure, trust surface, and UX that production demands
• Ground every product decision in direct customer evidence, and define success in user and business terms
• Apply AI across research, definition, and prototyping, with a high verification bar on what the tools return
💻 Warsaw, Hybrid (4 days/week)
🕦 Full-time
☑️ B2B
We are looking for a Director of AI Products to join a New York-headquartered AI company building infrastructure for enterprise AI agents. The platform encodes a company's policies, workflows, and operational logic into a structured data model, so agents produce auditable, repeatable outcomes instead of plausible-sounding guesses. Customers include global consumer brands, logistics operators, and financial institutions.
Requirements:
• Product leadership experience, including hiring, managing, and developing a team of product managers
• Track record of contributing to product strategy and converting it into shipped, measured outcomes rather than roadmaps that stall
• Practical experience building with LLMs and agent systems: evaluation frameworks, handling non-determinism, designing for user trust under probabilistic output, and separating what is buildable now from what is not
• Demonstrated prioritization: deciding what does not get built, optimizing for outcome rather than volume of releases, and declining work without damaging relationships
• Direct customer contact as a working habit, with impact defined in the customer's metrics
• A stated position on where the agentic AI market is heading and how to position against it
• Experience building for enterprise security requirements, including how sensitive data moves through AI workflows
• Written and verbal communication that survives contact with engineers, executives, and buyers, without jargon
• Daily use of AI tools inside your own product workflow, with a verification standard applied to the output
Nice to Have:
• Production experience with agentic systems: tool calling, orchestration, retrieval, or LLM-backed products at scale
• Experience shipping or selling to enterprise buyers with audit, reliability, and trust requirements
• Technical depth sufficient to hold credibility with senior engineers and assess feasibility independently
Key Responsibilities:
• Shape product direction alongside the CEO and CTO, then sequence the bets and set the delivery plan
• Lead, hire, and grow a team of AI-native product managers, and raise the hiring bar as the team scales
• Work hands-on with designers and engineers from problem definition through shipped product
• Ship agentic AI products enterprises can rely on, with the evaluation infrastructure, trust surface, and UX that production demands
• Ground every product decision in direct customer evidence, and define success in user and business terms
• Apply AI across research, definition, and prototyping, with a high verification bar on what the tools return
🔍 Dekoder Ogłoszenia
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converting it into shipped, measured outcomes rather than roadmaps that stall
Oczekuje się, że kandydat będzie dostarczał konkretne produkty i mierzył ich sukces, a nie tylko tworzył plany rozwoju, które nigdy nie zostaną zrealizowane.
🔴
declining work without damaging relationships
Oczekuje się umiejętności odmawiania zadań w sposób, który nie pogarsza relacji z innymi, co może oznaczać konieczność zarządzania oczekiwaniami i asertywności.
🔴
Direct customer contact as a working habit
Kandydat będzie musiał regularnie i aktywnie kontaktować się z klientami, co może wymagać dużej elastyczności i umiejętności radzenia sobie z różnymi sytuacjami.
🔴
Written and verbal communication that survives co
Wymagana jest bardzo dobra komunikacja, która jest zrozumiała i skuteczna nawet w trudnych lub niejasnych sytuacjach, co może sugerować pracę z międzynarodowymi zespołami lub w dynamicznym środowisku.
🔴
separating what is buildable now from what is not
Oczekuje się realistycznej oceny możliwości technologicznych i biznesowych, co może oznaczać konieczność podejmowania trudnych decyzji o rezygnacji z pewnych funkcjonalności.