2 Moscow Jobs

Role Summary: We are looking for a Senior Product Manager with a strong background in end-to-end digital product development , customer-centric design, and cross-functional leadership. This role requires someone who can define and execute strategic product roadmaps, work across multiple domains (web, mobile, SaaS, enterprise platforms) , and also leverage AI where it delivers real business value . Youll play a pivotal role in shaping high-impact products used by thousands of customers or internal teams, ensuring business alignment, user experience, and technology excellence. Key Responsibilities: 1. Product Strategy & Vision Define product strategy based on business goals, user needs, and market trends. Drive the product lifecycle from ideation to delivery and optimization. Evaluate build vs. buy decisions, technical feasibility, and time-to-market tradeoffs. 2. Roadmap Ownership & Execution Build and maintain product roadmaps with clear prioritization using frameworks like MoSCoW or RICE. Partner with engineering, design, marketing, and QA to deliver new features or entire products on time. Break down complex business problems into clearly defined product requirements and user stories. 3. AI & Data-Enhanced Feature Design Collaborate with data scientists and AI/ML teams to identify areas where machine learning or automation can improve user experience, personalization, or decision-making. Manage responsible implementation of AI features (e.g., content recommendations, predictive analytics, NLP-driven support). Ensure AI components align with overall product objectives, but do not drive the product unnecessarily. 4. Cross-functional Leadership Act as the voice of the customer while balancing business and technical constraints. Facilitate alignment across leadership, engineering, marketing, sales, customer success, and operations teams. Lead agile ceremonies (standups, planning, retrospectives) and manage sprint-level execution. 5. Customer & Market Insight Gather and analyze user feedback, usage data, and industry insights to make informed product decisions. Conduct customer discovery interviews, prototype testing, and A/B experiments. Define and track success metrics to evaluate product performance and ROI. System Integration and Data Management Oversee the integration of NetSuite with other business systems such as Salesforce, Jira, Office 365, PowerBI and Keka (HCM) Ensure data integrity and consistency across all integrated systems Develop and maintain data migration strategies and processes, as needed Work with engineers to automate and elevate multiplatform reports using PowerBI Develop and deliver compelling presentations and reports to the CEO, executive team, board members Core Qualifications: Bachelors degree in Engineering, Computer Science, Business, or related field; MBA or advanced technical degree is a plus. 10+ years of product management experience across B2B or B2C products. Demonstrated ability to ship enterprise or consumer digital products at scale. Strong experience working with cross-functional teams in agile environments. Familiarity with AI/ML concepts and experience collaborating on data-driven features. Excellent stakeholder management and communication skills (verbal and written). Experience with tools like JIRA, Confluence, Figma, Productboard, Miro, etc. What We Offer: A leadership role in driving high-impact digital products. Cross-functional collaboration with design, engineering, AI, and business teams. Competitive salary, bonuses, and potential equity. Flexibility to work remotely or hybrid. Learning and development budget.

Job Title: AI Product Manager Experience Range: 7-12 Years Location: Noida, Bangalore, Pune, Gurugram Role Overview The Advanced Intelligence Work Group is seeking an AI Product Manager with 7-10 years of experience to lead the strategic development and adoption of reusable GenAI assets. This role will bridge technical execution and business impact, ensuring our AI innovations (copilots, APIs, UI kits, and embedding services) align with organizational goals and deliver measurable value. Role & Responsibilities: Strategic Roadmap Development: Define and execute the roadmap for reusable GenAI assets (e.g., copilot templates, APIs, UI kits, embedding services) to accelerate enterprise-wide AI adoption. Prioritize features and initiatives based on cross-functional demand, technical feasibility, reuse potential, and ROI. Collaborate with Product, Engineering, and Data Science teams to align GenAI development with business use cases. Pilot Coordination & Adoption: Lead cross-functional pilots to validate GenAI solutions, ensuring alignment with stakeholder needs and scalability. Track usage metrics (e.g., adoption rates, user feedback, performance KPIs) to iterate on asset libraries and drive continuous improvement. Develop frameworks for measuring the impact of GenAI assets on productivity, cost savings, and innovation. Stakeholder Management: Partner with business units (e.g., Engineering, Product, Operations) to identify high-impact GenAI opportunities. Act as the primary point of contact for internal teams seeking to integrate GenAI capabilities into their processes or products. Communicate progress, risks, and outcomes to executive leadership and technical teams. Governance & Scalability: Establish processes for asset lifecycle management, including versioning, documentation, and deprecation. Ensure compliance with ethical AI principles, security standards, and regulatory requirements. Optimize resource allocation (budget, tools, talent) to maximize the reuse and scalability of GenAI components. Industry Trends & Evangelism: Stay ahead of GenAI trends (e.g., LLM advancements, agentic workflows) to inform roadmap decisions. Champion AI-first thinking across the organization through workshops, demos, and training programs. Skills & Expertise: Required: 710 years in program/project management , with 3+ years focused on AI/ML or GenAI initiatives. Proven experience in managing reusable technical assets (APIs, SDKs, templates) or platform products. Strong understanding of GenAI technologies (e.g., LLMs, RAG, embedding models) and their enterprise applications. Expertise in roadmap prioritization frameworks (e.g., RICE, MoSCoW) and agile delivery. Ability to translate technical capabilities into business value for non-technical stakeholders. Proficiency in tools like Jira, Confluence, or Asana for cross-team coordination. Data-driven mindset with experience in tracking adoption metrics and ROI analysis. Knowledge of AI ethics, security, and compliance standards. Nice to Have: Certifications in AI/ML (e.g., AWS ML Specialty, Google Cloud AI Engineer) or PMP/Agile. Technical background in software engineering, data science, or MLOps. Experience with no-code/low-code AI tools (e.g., n8, Microsoft Copilot Studio). Familiarity with cloud AI services (Azure OpenAI, AWS Bedrock, GCP Vertex AI). Qualifications: Masters degree in Computer Science, Business Administration, or a technical field (or equivalent experience). Track record of managing large-scale AI/ML programs with measurable business impact. Exceptional communication skills for bridging technical and executive audiences. GSD (Get Stuff Done) attitude is critical.