
Engineering manager (Client facing tier 1 college only eligible
at Talent Pro
Strong Client-Facing Engineering Manager Profile
Mandatory (Experience): Must have 8+ years of engineering experience, with substantial exposure to back-end development, scalable distributed systems, and modern web services
Mandatory (Leadership): Must have 2+ years of experience in people and delivery leadership, owning engineering execution and leading teams to deliver complex products
Mandatory (Client-Facing Experience): Must have proven experience working directly with external stakeholders / clients, translating client requirements into engineering plans and delivering solutions with high customer impact
Mandatory (Technical Skills 1): Must have in-depth experience with Java, Spring, microservices and understanding of Software development lifecycle (SDLC), building reliable, high-performance systems
Mandatory (Technical Skills 2): Strong problem-solving and design capabilities; experience with system design, architecture reviews, and engineering best practices
Mandatory (Tools): Must have expertise in agile methodologies and project management tools
Mandatory (Communication): Excellent written and verbal communication skills, with a track record of presenting technical solutions to both technical and non-technical stakeholders
Mandatory (Cross-Functional Collaboration): Must be skilled in working with product, design, sales, and client teams to drive requirements, delivery, and client success
Mandatory (Execution & Delivery): Demonstrated ability to manage end-to-end delivery, coordinate releases, prioritise effectively, and deliver results in time
Mandatory (Company):Product companies
Mandatory (Stability): Must have stayed for at least 2 years with each of the previous companies
Mandatory (Education): B.Tech in computer science, engineering or a related field from Tier 1, Tier 2 colleges (Master's preferred)
Mandatory (Note 1): Education can be ignored for candidates with proven experience in strong, reputed product companies
Mandatory (Note 2): This role is a balanced mix of individual contribution and leadership responsibilities (50–50).

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Kindly drop in your CV's with subject line: Virtual Walk-In 21st May
· Job Location: Work from Home
· Salary Package: As per Company Standards
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|
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Summary of the Position:
Job Purpose:
Genesys is the global omnichannel customer experience and contact center solution leader. With over 4,500 successful customers, our customer experience platform and solutions help companies engage effortlessly with their customers, across all touchpoints, channels and interactions to deliver differentiated customer journeys, while maximizing revenue and loyalty.
Genesys is embracing AI and Machine Learning in delivering AI-powered products like Predictive Routing, Chat bots, and Customer Journey management. The PS Data Scientist share a passion for AI & data working with global project teams and customers to extend data science services across Genesys solutions both on premise and in the cloud.
Join us and be a part of this journey as we write Customer Success stories with these products.
Location: (Chennai/Hyderabad/Bangalore)
WHAT YOU DO:
- Interface with business customers, gathering and understanding requirements
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- Define and utilize data intuition process to cleanse and verify the integrity of customer & Genesys data to be used for analysis
- Implement, own, and improve data pipelines using best practices in data modeling, ETL/ELT processes
- Build, improve, and provide ongoing optimization of high quality models
- Work with PS & Engineering to deliver specific customer requirements and report back customer feedback, issues and feature requests. Continuous improvement in reporting, analysis, overall process.
- Visualize, present and demonstrate findings as required. Perform knowledge transfer to customer and internal teams.
- Communicate within the global community respecting cultural, language and time zone variations
- Demonstrate flexibility to adjust working hours to match customer and team interactions
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- Bachelor’s / Master’s degree in quantitative field (e.g. Computer Science, Statistics, Engineering)
- 2-4 years of relevant experience in Data Science or Data Engineering
- 2+ years of hands-on experience performing statistical data analysis across large datasets writing highly optimized SQL queries and utilizing Python (NumPy, Pandas) or similar software (Primary)
- Expertise with major statistical & analytical software like (Python or R or SAS) - Primary
- Experience in Snowflake, Tableau, Elasticsearch, Kibana and real time analytics solution development will be major plus (Secondary)
- Should have the application development background of using any contact center product suites such as Genesys, Avaya, Cisco etc.
- Expertise with data modelling, data warehousing and ETL/ELT development
- Expertise with database solutions such as SQL, MongoDB, Redshift, Hadoop, Hive
- Proficiency with REST API, JSON, (AWS/AZURE/GCP) - Primary
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- Curiosity, passion, and drive for data queries, analysis, quality, models
- Excellent communication, initiative, and coordination skills with great attention to detail. Ability to explain and discuss complex topics with both experts and business leaders
How You Do It:
How You Think: Understands the business and takes a non-traditional approach to solving common problems. Willing to draw outside the lines and find new ways to make an impact on old problems.
How You Interact: Can easily build collaborative relationships that energize individuals, teams, and the company into action. You are a global thinker and can work across locations and time zones. You are an excellent communicator and listener, and can easily persuade to drive a vision and purpose.
How You Own It: You are a hands-on executor who can drive change and clearly communicate across all stakeholders.
How You Show Up:
Embodies Genesys core cultural values and pushes to create an authentic employee experience. You are the type of person who can succeed through ambiguity, bringing clarity where there is no roadmap, who can re-set when a change in direction is needed without getting derailed or frustrated. You are authentic and in still the trust in others.
About Us
Genesys ® powers more than 25 billion of the world’s best customer experiences each year. We put the customer at the center of everything we do and passionately believe that great customer engagement drives great business outcomes. More than 10,000 companies in more than 100 countries trust the industry’s #1 customer experience platform to orchestrate omnichannel customer journeys that eliminate silos and build lasting relationships. With a strong track record of innovation and a never-ending desire to be first, Genesys is the only company recognized by top industry analysts as a leader in both cloud and on-premise customer engagement solutions. Connect with Genesys via www.genesys.com , Twitter , Facebook , YouTube , LinkedIn , and the Genesys blog.
Genesys is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.
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- Understanding of machine-learning and operations research
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