Varaisys - Product Manager

Description:

Role Summary

The Product Manager with 6 - 8 years of experience will act as the "mini-CEO" for a strategic product or a portfolio of services within the Varaisys offering (e.g., the Generative AI suite or the Unified Data Bus platform).

You will be responsible for defining the product vision, strategy, and roadmap from concept to end-of-life, ensuring our products address real user needs and create lasting value for our clients.

This role requires a blend of deep market insight, technical fluency in emerging technologies, and strong leadership skills to drive execution across cross-functional teams.

Key Responsibilities

Product Strategy and Vision (The "Why")

- Own the Product Strategy: Define the long-term vision, strategy, and business case for one or more key Varaisys offerings (e.g., RPA, Generative AI, Data Analytics), aligning them with the companys strategic goals and client ROI objectives.

- Deep Market and Client Research: Conduct comprehensive market analysis, competitive assessments, and in-depth customer interviews with B2B clients to uncover and validate unaddressed market problems and new revenue opportunities.

- Business Case Development: Create detailed business cases, including ROI analysis, pricing strategy, and success metrics (KPIs), for new product initiatives or major product enhancements.

- Go-to-Market Leadership: Develop and execute robust go-to-market (GTM) strategies in collaboration with Sales and Marketing to ensure successful product launch, positioning, adoption, and commercial success.

Product Development and Execution (The "What" and "How")

- Roadmap Management: Build, maintain, and communicate a prioritized product roadmap based on strategic priorities, business impact, and technical feasibility.

- Requirements Definition: Translate complex client/market needs and business goals into clear, detailed product requirements, user stories, and epics, serving as the voice of the customer for the engineering and solution architect teams.

- Agile Leadership: Act as the Product Owner within an Agile/Scrum environment, managing the product backlog, defining sprint goals, and accepting user stories.

- Cross-Functional Collaboration: Serve as the central hub for communication between engineering, solution architects, project managers, sales, marketing, and executive stakeholders, ensuring seamless delivery and alignment.

Performance and Optimization (The "Results")

- Data-Driven Decisions: Define, monitor, and analyze key product metrics and performance indicators (e.g., adoption rate, client satisfaction, feature usage, revenue) to inform product decisions and identify areas for optimization.

- Product Lifecycle Management: Manage the entire product lifecycle from ideation, development, launch, in-life optimization, to eventual retirement.

- Risk and Constraint Management: Proactively identify and manage project risks, making critical trade-off decisions between scope, schedule, and cost to ensure business objectives are met.

- Mentorship: Provide guidance, coaching, and mentorship to more junior Product team members, helping to establish and promote Product Management best practices within the organization.

Required Skills and Qualifications

Experience

- 6 - 8 years of progressive experience in a Product Management role, with a proven track record of successfully launching and scaling B2B software products or IT solutions.

- Demonstrated experience in strategic planning and roadmap creation for complex technology products.

- Strong background in AI/ML, Data Analytics, RPA, or Cloud technologies is highly preferred, given Varaisys' core services.

- Proven ability to drive product delivery using Agile/Scrum methodologies.

Technical and Domain Skills

- Excellent understanding of the software development lifecycle (SDLC) and experience working closely with engineering and architecture teams.

- Familiarity with data-driven decision-making tools and techniques (e.g., A/B testing, SQL/Data analysis).

- Experience with Product Management tools such as Jira, Confluence, Trello, or similar platforms.

- Ability to translate deep technical capabilities (e.g., Generative AI models) into clear, compelling, and commercially viable product features.

Soft Skills and Leadership

- Exceptional Communication and Stakeholder Management: Superior ability to articulate the product vision, influence executive-level stakeholders, and manage expectations across diverse cross-functional teams.

- Strategic and Analytical Thinking: Proven ability to synthesize complex data and market insights into a coherent, executable product strategy.

- Leadership and Ownership: A driven and enthusiastic leader who takes full ownership of the product's success and is comfortable making high-stakes decisions.

- Customer Centricity: Deep commitment to understanding customer pain points and a track record of delivering products that truly solve a user need.

Education

- Bachelors degree in Business, Computer Science, Engineering, or a related field.

- An MBA or a relevant advanced degree is a plus