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Tieto

Industry-specific software, cloud and AI

Product Development Manager

Engineering LeadershipConfirmed live in the last 24 hours
Full-timePune, Maharashtra, IndiaNo salary listedHybrid

About the Job

Requirements

  • Strong technical background with past hands-on coding experience.
  • Proven track record of delivering complex software projects on time and within budget.
  • Experience in stakeholder management and client-facing roles.
  • Ability to balance technical leadership with people management responsibilities.
  • Proven experience in managing managers, team leads, or multiple engineering teams.
  • Ability to build leadership capability within teams and enable managers to take ownership.
  • Good understanding of AI/GenAI trends, tools, and their practical application in software development and product engineering.
  • Ability to drive responsible AI adoption while considering quality, security, compliance, and business impact.
  • Extensive experience with the full Software Development Life Cycle (SDLC), including requirements gathering, design, development, testing, deployment, and maintenance.
  • Proficiency in Agile methodologies such as Scrum, Kanban, and SAFe, with experience leading Agile teams at scale.
  • Strong knowledge of modern software development practices, including AI, CI/CD, DevOps, and cloud technologies.
  • Past hands-on experience with one or more programming languages, such as .NET, C#, Java, Python, C++, or JavaScript.
  • Familiarity with microservices architecture, RESTful APIs, and distributed systems.
  • Understanding of software testing methodologies and quality assurance processes.
  • Knowledge of version control systems such as Git and issue tracking tools such as JIRA.
  • Familiarity with AI-assisted engineering tools and practices, such as AI coding assistants, automated test generation, code review support, documentation generation, and AI-enabled productivity improvements.
  • Understanding of data security, privacy, compliance, and governance considerations related to AI usage in software development.

Responsibilities

  • Lead, mentor, and develop cross-functional engineering teams delivering high-quality software products.
  • Lead and coach scrum masters and team leads to ensure effective leadership practices, accountability, and consistent execution across teams.
  • Drive technical decision-making and architecture design for complex systems.
  • Collaborate with product owners to translate business requirements into technical specifications.
  • Implement and optimize development processes to improve efficiency and product quality.
  • Drive adoption of AI-assisted software development practices, including responsible use of AI tools for coding, testing, documentation, analysis, and productivity improvement.
  • Ensure AI usage follows company policies, security, compliance, data privacy, and ethical guidelines.
  • Manage the entire product lifecycle, from conception to deployment and maintenance.
  • Attract, recruit, induct, and retain capable technical personnel and managers.
  • Evaluate performance and provide guidance and corrective actions.
  • Participate in defining and administering compensation, benefits, and promotions.
  • Provide career coaching and personal development for team members, managers, and future leaders.
  • Set priorities across teams to ensure task completion, alignment, and project success.
  • Support teams and managers with problem identification, root cause analysis, and decision-making.
  • Eliminate technical and organizational impediments to team productivity.
  • Manage full financial responsibility for the profit unit.
  • Establish short- and mid-term technical plans in cooperation with the management team.
  • Participate in product strategy creation and communicate targets clearly across teams.
  • Foster cooperation among work teams and with other areas of the organization.
  • Balance hands-on technical involvement with empowering managers and teams to solve problems independently.
  • Handle products in the maintenance phase, including managing client escalations, critical issues and tickets, and urgent fixes.
  • Collaborate with product owners, onsite teams and leaders, managers, and technical support personnel.
  • Establish and follow Agile ways of working, ensuring continuous improvement of development processes.
  • Build a culture of engineering excellence, innovation, accountability, and responsible AI adoption.

About the Company

Tieto

Industry-specific software, cloud and AI

Tieto provides mission-critical software and consulting services for various industries, organized into vertical software families: Tieto Caretech (care and health tech), Tieto Banktech (banking tech), Tieto Indtech (industrial tech) plus Tieto Tech Consulting. It helps customers run and improve their operations by delivering industry-specific software platforms, cloud services, data analytics and AI-powered solutions, complemented by design and software engineering expertise. Unlike more generic IT firms, Tieto focuses on deep, sector-specific capabilities and combines software products with consulting to support digital transformations. Its goal is to help customers succeed and innovate with the latest technology by making complex systems work together reliably and efficiently, backed by a team of about 13,000 specialists and EUR 2 billion in annual revenue.

Company size
5,001-10,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Helsinki, Finland
Founded
1968

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