Sr. Product Engineering Mgr

Cognizant; Bengaluru Urban; On-site; INR 2,000,000 - 3,000,000; Full time

Job summary

A leading technology firm seeks a Sr. Product Engineering Manager to drive product innovation and strategic direction. The role focuses on machine learning and AI, requiring expertise in CRM-Sales and leadership. You will collaborate in a hybrid work model to enhance product offerings, overseeing the entire product lifecycle and ensuring alignment with business goals. The candidate must possess strong analytical skills and a proven ability to mentor engineering teams, leveraging analytics for informed decision-making.

Qualifications

• Proven expertise in strategic leadership driving successful product strategies.
• Extensive experience in machine learning and artificial intelligence.
• Proficiency in CRM-Sales with deep understanding of sales processes.
• Strong analytical skills leveraging analytics for decision-making.
• Experience in a hybrid work model collaborating across teams.

Responsibilities

• Drive product innovation using machine learning and AI technologies.
• Collaborate with teams to integrate CRM-Sales into product development.
• Oversee the product lifecycle from conception to launch.
• Provide strategic direction to engineering teams.
• Analyze market trends to identify opportunities for enhancements.

Skills

Strategic Leadership

Machine Learning

CRM-Sales

Artificial Intelligence

Analytics

Job description

Job Summary

The Sr. Product Engineering Manager will play a pivotal role in driving product innovation and strategic direction within the company. With a focus on machine learning and artificial intelligence this role requires expertise in CRM‑Sales and strategic leadership. The candidate will work in a hybrid model ensuring seamless collaboration across teams to enhance product offerings.

Experience

13
17 years

Required Skills

• Technical Skills: Strategic Leadership, Machine Learning, CRM‑Sales, Artificial Intelligence
• Domain Skills:

Nice to Have Skills

• Domain Skills: Analytics

Shift

Day

Responsibilities

• Drive product innovation by leveraging machine learning and artificial intelligence technologies to create cutting‑edge solutions that meet customer needs.
• Collaborate with cross‑functional teams to ensure the integration of CRM‑Sales strategies into product development processes enhancing customer engagement and satisfaction.
• Oversee the product lifecycle from conception to launch ensuring timely delivery and alignment with business objectives.
• Provide strategic direction to engineering teams fostering a culture of innovation and excellence in product development.
• Analyze market trends and customer feedback to identify opportunities for product enhancements and new features.
• Develop and implement best practices for product engineering ensuring high‑quality standards and efficient workflows.
• Facilitate communication between engineering sales and marketing teams to ensure cohesive product strategies and successful launches.
• Monitor product performance and user feedback to drive continuous improvement and optimization.
• Ensure compliance with industry standards and regulations maintaining the integrity and reliability of products.
• Utilize analytics to inform decision‑making and strategic planning enhancing the effectiveness of product strategies.
• Mentor and guide engineering teams promoting professional growth and development within the organization.
• Coordinate with stakeholders to align product strategies with overall business goals maximizing impact and profitability.
• Implement innovative solutions to complex engineering challenges driving the success of product initiatives.

Qualifications

• Demonstrated expertise in strategic leadership with a proven track record of driving successful product strategies.
• Extensive experience in machine learning and artificial intelligence with the ability to apply these technologies to product development.
• Proficiency in CRM‑Sales with a deep understanding of customer relationship management and sales processes.
• Strong analytical skills with the ability to leverage analytics for strategic decision‑making.
• Experience in a hybrid work model with the ability to collaborate effectively across remote and in‑office teams.
• Excellent communication skills with the ability to articulate complex ideas and strategies to diverse audiences.
• Proven ability to mentor and develop engineering teams fostering a culture of innovation and excellence.

Job Location

Primary Location :INKABLRA03(ITIND Manyata (MBP) Bld F3 SEZ) Alternate Location :INTNCHNA10(ITIND MEPZ (TBM) SDB 1 -4 SEZ) Alternate Location 1 :NA NA

Projects

[40PM00]

Demand Requires Travel?

No

Certifications Required

Certified Product Manager Machine Learning Certification CRM Certification