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Salary
≈ $59k – $128k per year (Estimated)
Location
Hybrid (Istanbul, Turkey)
Seniority
Senior · 5+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 1, 2026. First seen by Alion on Sep 24, 2026.

Overview
Company
Impact
Profile match

As a member of an agile team, Senior Product Manager is expected to have excellent communication and analytical skills to deliver the highest value to the customer and user.

We are looking for a Senior Product Manager who collaborates closely with customer team and product teams to identify business needs, and manages the end to end product lifecycle from requirement definition and modeling to development, testing, and launch. If you feel comfortable with these responsibilities, we would love to see you on board.

Key Responsibilities

  • Understand product strategy and goals to maximize value and efficiency of product deliveries

  • Study product usage, qualitative and quantitative analysis, and industry research data to inform strategies and product proposals

  • Gather customer context and write product briefs to frame user needs for engineering, design, customer success, and marketing teams

  • Align engineering and design teams on the correct problems with clear, written communication

  • Prioritize and execute on an ambitious and impactful product roadmap

Qualifications & Experience

  • 5+ years of experience in Product Management / Product Ownership, preferably in data or AI-driven products

  • Strong track record of building and scaling data-intensive or analytics products

  • Ability to translate complex problems into clear product vision, user flows, and actionable requirements

  • Experience working closely with engineering, data, and design teams in agile environments

  • Strong prioritization skills with a clear understanding of trade-offs, impact, and business value

  • Strong analytical mindset with a structured approach to breaking complex business challenges into clear, data-driven product decisions

  • Good understanding of data infrastructure and analytics ecosystems

  • Curiosity and practical experience in applying AI within product development

  • Clear and structured communication with both technical and non-technical stakeholders

  • Ownership mindset, high accountability, and a proactive, self-driven approach

  • Fluency in English

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