Sr. Product Manager, Specialized Modeling & Verticals
6sense (company site, opens in a new tab)6+ yrsBengaluruOn-siteDirect career pageEst. 30–45 LPA
Posted 13h ago
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Reach people at 6sense
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at 6sense you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Lead roadmap and development of specialized AI/ML models targeting verticalized B2B marketing tasks and revenue challenges.
- Collaborate with data science and business stakeholders to translate core intelligence into high-value, industry-specific predictive features and solutions.
- Define domain-specific requirements and measure the impact of specialized models on real-world revenue outcomes across diverse enterprise scenarios.
Minimum Requirements
- 4-6+ years in Product Management, preferably with Data Products, AI/ML, or B2B SaaS experience.
- Experience managing machine learning product development and comfortable discussing model inputs and validation with data scientists.
- Strong knowledge of the B2B revenue lifecycle including leads, accounts, and opportunities.
- Work Experience Required: 4-6+ years in relevant fields (explicitly mentioned). Notice period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experience working at the intersection of AI/ML and B2B sales/marketing domains, with ability to apply ML models to complex, domain-specific problems.
- Proven capability in strategic partnering across product teams to leverage foundational platforms and build specialized vertical solutions.
- Execution-focused approach that ensures high-level ML capabilities translate into specific, shipped features addressing concrete user pain points.