AI Product Manager (Discovery)

deepsense.ai; Warszawa; On-site; PLN 300,000 - 400,000; Full time

Benefits offered by this job

Competitive compensation

Conference budget and learning allowance

Equipment of your choice

Job summary

deepsense.ai is seeking an experienced AI Product Manager to drive product direction across various engagements. You will partner with delivery managers to ensure real user value and uncover what clients need through discovery workshops. This hybrid role allows for collaboration with top-tier clients while working within a vibrant team of AI specialists.

Ideal candidates will have 6-8 years in product management and the ability to translate complex user needs into actionable product strategies. Engage in a dynamic environment with competitive compensation and professional growth opportunities.

Qualifications

• 6-8 years of product management or consulting experience.
• Track record of running discovery workshops.
• Comfort working across several engagements.

Responsibilities

• Run client discovery to uncover needs and guide product direction.
• Partner with delivery managers to focus on user value.
• Take ownership of product priorities and backlog on critical engagements.

Skills

Product management experience

Stakeholder management

AI/LLM product fluency

English communication skills (C1)

Tools

Product discovery toolkit

Agile methodologies (Scrum/Kanban)

Job description

Hybrid — offices and coworks in major Polish cities

Employment type:

B2B

Operating mode:

Hybrid — offices and coworks in major Polish cities

Location:

Poland

Position overview

We’re looking for anAI Product Manager tobring the product and user lens toour delivery teams across engagements. Working shoulder toshoulder with our delivery managers, you figure out what aclient actually needs, run discovery, and shape what’s worth building and why — usually across several projects atonce. Onthe engagements where the product question ismake-or-break, you godeeper and own the product direction end toend. You own the “what and why”; the delivery manager owns the “how” — two halves ofthe same job.

deepsense.ai isa120-person AI/ML consultancy with Anthropic and OpenAI partner credentials. For over adecade we’ve delivered applied AI projects for companies like J&J, Sky, John Deere, and GLS — spanning LLM applications, agents, MLOps, and data science. We’re apeople-first organization that believes indeep technical craft and real ownership.

About the role

You work alongside our delivery managers astheir product and discovery counterpart onshared engagements. Most of the time that’s advisory: you dip into several projects, run client discovery, shape the direction, and keep the work pointed atreal user value while the delivery manager runs delivery. Onengagements where product direction ismake-or-break — and especially where the client doesn’t bring their own product lead — you godeep and take ownership ofthe product: the priorities, the backlog, the what-next.

Either way, you own the product question — what webuild and why. The delivery manager owns the rest (the plan, the client relationship, the team). You’re the one making sure webuild the right thing — and you also help level upour own product muscle onthe initiatives webuild for ourselves.

Responsibilities

• Partner with delivery managers asthe product and user lens across several engagements — run discovery, shape what’s worth building, and keep a clear view of the user value behind it
• Run client discovery and facilitation — uncover what clients actually need (not just what they ask for), surface the use-cases worth pursuing, and turn that into a clear direction the team can build
• Onproduct-critical engagements, take ownership of the product direction — the priorities, the backlog, and the what-next — inpartnership with the delivery manager
• Bethe user-and-value counterpart during pre-sales and scoping — make sure proposals are grounded inreal product value, not just technical feasibility
• Translate between what AI can doand what users actually need — keep both honest
• Help level upour internal product capability — bring discovery and prioritisation discipline tothe projects webuild for ourselves

You must have

• 6-8 years inproduct management, product ownership, orproduct consulting, with real responsibility for shaping what gets built and why. You’ve shaped product vision and strategy, designed experiences from concept toprototype, and collaborated with engineers and business stakeholders.
• Atrack record ofrunning discovery and turning ambiguous client needs into aclear, prioritised product direction
• Strong facilitation and stakeholder skills — you can run adiscovery workshop that actually shifts how ateam thinks, and hold the line onpriorities
• Enough AI/LLM product fluency toshape these products honestly — you know what LLMs and agents can and can’t dowell
• Comfort working across several engagements atonce, and going deep onthe ones that need it. High ownership and autonomy toprioritize your own engagement
• Experience working with cross-functional teams – software engineers, delivery managers, clients and business development roles
• Excellent English communication skills (C1), written and spoken

Nice tohave

• Consultancy orclient-facing product experience, juggling multiple stakeholders
• Aproduct discovery toolkit: user interviews, opportunity solution trees, outcome metrics, experimentation
• Light prototyping ordesign sense — able tosketch aconcept tocommunicate anidea (we’re not hiring for visual craft, but ithelps)
• Agile fluency (Scrum / Kanban) and backlog discipline for owner-mode engagements
• Acommercial instinct — comfort contributing toproposals and spotting expansion opportunities

Weoffer

• Variety — the product and discovery lens across aportfolio ofreal AI engagements, not one product inone company
• Close collaboration with Anthropic and OpenAI through our partnerships, working atthe frontier ofapplied AI
• Ateam of120+ specialists you can learn from and build with
• Competitive compensation benchmarked tothe market
• Hybrid working — offices and coworks inmajor Polish cities
• Conference budget and learning allowance
• Equipment ofyour choice

Most product roles tie you toone product inone company. Here you bring product thinking toaportfolio ofAI engagements — shaping what gets built across clients and industries, going deep where itmatters, and doing itwith engineers who ship toproduction, not slideware. Ifyou want the breadth ofconsulting and the depth ofreal product ownership inthe same role, this gives you both.