Manager/Senior Consultant - Product manager- Bangalore
Job description
We are strengthening and modernizing our product capabilities within a rapidly scaling technology consulting practice. While the organization has built products before, we are now elevating how products are conceived, engineered, and delivered — with a sharper focus on AI‑first principles, repeatable processes, and long-term scalability. You will play a key role in shaping this next generation of product-building within a Big 4 environment, while also advising clients on product strategy, AI adoption, and future-forward solutions.
We are looking for an AI‑native, highly adaptable product thinker who moves seamlessly between product vision, customer discovery, program structuring, and hands-on execution. You should be comfortable with ambiguity, energized by dynamic priorities, and excited to work in environments where both the customer problem and the product direction evolve rapidly.
This role spans:
- Internal product incubation
- Client-facing product & AI advisory
- Hands-on experimentation with GenAI
If you thrive in high-velocity environments, enjoy vibing with code, and love shaping 0→1 products, this role is for you.
Key Responsibilities
Product Vision & Strategy
- Define the vision, direction, and success metrics for AI-led internal products and solutions.
- Set clear product goals around reliability, resilience, and future-proofing, especially for GenAI-based applications.
- Conduct competitive and market research—academic, commercial, and emerging tech—to inform product strategy.
0→1 Product Incubation
- Drive incubation of new features and products by partnering with customers, engineering, and domain teams.
- Create repeatable and scalable processes to take concepts from exploration → prototyping → readiness.
- Validate product hypotheses through rapid experimentation and user feedback loops.
Customer Discovery & Problem Framing
- Identify user problems, customer needs, and white‑space opportunities across industries.
- Facilitate workshops and discovery sessions to understand pain points, workflows, and desired outcomes.
- Help prioritize a balanced portfolio of near-term customer asks and long-term capability bets.
Execution & Cross-functional Leadership
- Build strong feedback loops between customer-facing teams and engineering.
- Prioritize requirements, create release scopes, and ensure smooth, predictable launch cycles.
- Communicate product direction and trade-offs clearly with leadership, stakeholders, and delivery teams.
Metrics & Outcomes
- Define what “good” looks like—KPIs, usage metrics, performance benchmarks, and qualitative signals.
- Track and analyze leading indicators to ensure goals are met and value is delivered consistently.
AI Advisory & Client Engagement
- Support AI advisory engagements with clients—help them conceptualize, prioritize, and design AI-first solutions.
- Translate business problems into AI-powered product opportunities.
- Advocate AI‑native ways of working, including prompting, evaluation, applied AI artifacts, and prototyping.
Must-Have Qualifications
- Bachelor’s degree in Engineering + 3 to 8 years of experience in product, project, program management, software development, or equivalent.
- Strong communication skills with the ability to navigate diverse stakeholder groups.
- Demonstrated experience in ambiguous or dynamic environments where priorities shift rapidly.
- Comfort working in consultative settings—problem-first, not solution-first.
Preferred Qualifications
- Experience in startup-like or 0→1 product environments; thrives amid ambiguity and rapid iteration.
- Deep curiosity for AI, GenAI, and emerging tech with a strong experimental mindset.
- Familiarity with AI model development, ML algorithms, and cloud technologies.
- Ability to "vibe with code"—not necessarily writing production-level software but comfortable:
- reading code
- experimenting with APIs
- playing with AI models
- understanding architectural constraints
- Strong user-centric mindset with a keen sense for great user experiences.
What Will Make You Successful Here
- You think "AI-first": applying models, automation, and intelligent workflows by default.
- You can operate in both product mode and consulting mode.
- You learn fast and are excited by technologies that are still evolving.
- You enjoy shaping the foundation of a product capability in a newly forming ecosystem.
- You can zoom out (vision) and zoom in (detailed execution) with equal ease.