Product Manager
Who we are?
At Edge, we believe simplifying employee data will help large corporates solve sub-optimal talent management problems. This data is more critical after the pandemic, as managing a remote workforce has shifted from optional to essential.
We have spent our last eight years understanding the workforce from the IT and BFSI industries. We have used this employee data to create a sophisticated intelligence. This brain behind our AI-based products is called EdGE graph™. We have used 11 million job descriptions and more than 30 million profiles to build the graph.
Our products like Pathfinder, Recruit and Mobility are deployed in IT companies like Wipro, HCL, UST Global, etc. and help them upskill, invest, and maintain their existing people. It has helped organisations improve their workforce availability, billing, allocations and drive straight bottom-line impacts. The new order of talent decisions helps us define, identify, and plan for a future-ready workforce.
We build end-to-end talent management products for organisations so that they have a 360-degree view of their talent supply chain. This helps them make informed talent decisions efficiently and build an intelligent workforce.
We built Edge Networks in 2012 in an apartment in Bangalore and soon, were supported by the National Skill Development Corporation of India (NSDC). We are a part of the NASSCOM Product Council and have been recognized by Gartner, Deloitte, Equidam, NVIDIA, Amazon as an innovative tech HR startup in various titles.
At Edge, we understand that modern companies that put the employees at the center of their workings, backed with data, will make their organisation productive. This is how we, at Edge, use tech for good.
Role: Product Manager
Experienced Product Manager to own product lines in the B2B2C space and work in tandem with the other products that we have, all of which derive intelligence from the underlying AI/ML services as well as a SaaS ready platform that we have built. You will use data to guide your decisions and develop solutions to make analysis easier for teams. You will develop a hypothesis, conduct in depth user research, and experiments to inform your product design and strategies. You will establish your product viewpoints and share them with senior leaders, partners, and customers.
Traits that you have
A team player – I know we only win if we all win. I recognise and value the different perspectives and skills my squad mates bring. It is not about being a hero but jumping in and contributing to the successful delivery of our mission.
Data Driven – Build different metrics to evaluate the product performance.
An excellent communicator – I know and understand the importance of clear, on-time communication. My spoken and written communication skills stand out for clarity and conciseness.
The customer’s biggest fan – I demonstrate a thirst for better understanding the customer and define the problem and develop solutions through their eyes as well as through the eyes of the Sales guys in the organization
A collaboration champion – I work closely with my colleagues to ensure alignment and champion the sharing of learning across teams.
Comfortable being uncomfortable – I am comfortable with uncertainty. I have the ability to effectively manage myself through ambiguity by making meaning, building relationships and creating clarity with my peers. I also have a willingness to unlearn where needed.
Continuous improvement focused– I constructively challenge the status quo, I look for better ways of doing things and passionately advocate continuous improvement, and I am able to re-pivot fast.
A problem solver – I am energised by tackling complex problems. I use my critical thinking, network, skills, knowledge, and available data to drive better outcomes for our customers and the product.
Commercially and Technologically curious – I have a wide-angle lens. I am curious about what is happening in the external market and in emerging trends and innovations (technological and otherwise) and how we use this information to better inform our decisions and actions.
Risk savvy – I build sustainable solutions that protect stakeholders and customers and proactively address risks by role-modelling improvements in the product’s overall risk and control environment.
Habitual Experimenter – I learn by running experiments on a very frequent basis, with a framework to learn from these experiments and absorb the learnings into product management.
Responsibilities:
- Define the product roadmap and ensure its execution through cross-functional and cross-platform collaboration
- Work closely with horizontal product managers and align the product roadmap within the broader product framework.
- Closely monitor & analyze the product metrics and present related hypotheses to help make data-driven decisions.
- Work closely with engineering platforms to create data flow pipelines that aggregate the relevant data and present a holistic view of product performance.
- Work with the MIS & Reporting team to create relevant dashboards that provide transparency across the board
Role Skills:
- 2+ years in software product management, post MBA, with a consistent record of timely and quality delivery of products.
- Experience with Agile Project Management tools like JIRA.
- Familiarity with Wireframing tools like Adobe XD, Maze, so that the interactions with the UX Designer can be efficient
- High bias for action with demonstrable history of identifying and resolving cross-project interdependencies
- Ability to juggle several initiatives and shift priorities as needed
- Exceptional communication skills (verbal and written communication) with a knack for storytelling connecting the story to the underlying quant
- Data Driven with proficiency on data querying and analysis. Experience with tools like Analytics tools (i.e. Google Analytics ), SQL, Excel, Tableau, etc. is preferred.
- Experience in one or more of the following is a plus: SaaS, Marketing Automation, Data Analytics etc.
- MBA/equivalent courses from Tier -I institutes.

About EdGE Networks Pvt. Ltd.
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· Expert level understanding of Object Oriented Concepts and Data Structures
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