12 часов назад
Product Manager (AI)
4 700 - 5 700€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Product Manager (AI) (Data Products): Shaping the strategy and roadmap for data products, turning ML and AI capabilities into productised offerings, and defining trustworthy, customer-ready data with an accent on customer discovery, data quality, and product outcomes. Focus on making tradeoff decisions around coverage, precision, latency, and cost while partnering with engineering, Sales, Customer Success, and Marketing.
Location: Vilnius, Lithuania; Workplace: Hybrid
Gross salary: €4,700–€5,700 per month, with flexibility based on skills and competencies.
Company
A 500+ person technology company developing proxy and web data scraping solutions for thousands of businesses, including Fortune 500 companies.
What you will do
- Shape the strategy and maintain the roadmap for the data product based on customer needs and market trends.
- Turn ML and AI capabilities into productised parts of the data offering.
- Define customer-focused standards for data quality, trustworthiness, and fitness for use.
- Make product decisions on ML-driven attributes, balancing coverage, precision, latency, and cost.
- Lead customer discovery with current and prospective customers.
- Partner with Sales, Customer Success, Marketing, and other cross-functional teams.
Requirements
- At least 3 years of proven Product Manager experience.
- Experience working with cross-functional teams and stakeholders, including Sales, Customer Success, and Marketing.
- Strong product thinking across discovery, customer research, prioritisation, and outcome ownership.
- Technical fluency in data pipelines, schemas, transformations, and inferred fields.
- Ability to work in ambiguous environments and shape a newly established role.
- Strong written and verbal English communication skills.
Culture & Benefits
- Work with a team of experienced professionals, a well-built technology stack, and substantial ownership.
- Access to internal learning options, external conferences, mentorship, and knowledge-sharing.
- Private health insurance, psychotherapy, well-being consultants, gym access, and a wellness app.
- Team events, an overseas workation, and quarterly team-building budgets.
- Bonus vacation days, paid life-moment days off, barista coffee, and work equipment.
Hiring process
- Artificial intelligence tools may support application review, resume analysis, response assessment, and verification checks.
- Final hiring decisions are made by humans.
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