Project Manager - Customer Success

SaaS Product Company

Project Manager - Customer Success

IKIGAI ENABLERS

Company

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Project Manager - Customer Success

at SaaS Product Company

Agency job

via IKIGAI ENABLERS

8 - 12 yrs

₹12L - ₹25L / yr

Bengaluru (Bangalore)

Skills

Project Management

Project Manager

Customer Success

SaaS

Product support

Implementation

Project Management

Develop the integrated project plans to determine time frame, procedures for accomplishing projects
Assess consolidated project plans for dependencies, gaps and continued business value
Plan and manage project closure and/or transitions
Work with stakeholders to establish and gain consensus on project goals, objectives and deliverables
Conduct project reviews to recommend changes to project schedules or resource requirements
Document and track project scope, changes, issues and risks that affect implementation
Facilitate the daily stand-up to achieve team consensus
Eliminate conflicts and assist in developing solutions to manage roadblocks
Plan and manage testing cycle with customer

Customer Success

3-5 years experienced engineer in design; pre / post implementation tracking / successful execution on the following categories:
Building management systems
Security systems / cameras; sensors; beacons
IOT implantation within campuses / buildings
IT security systems – understanding of the way they work / get implemented
Comfortable with client interactions and working with client’s vendors / partners

Other Areas:

Participates periodically in client meetings or business development presentations as part of a Team to help demonstrate our capabilities. Assists with the development of marketing materials and support

Information/data. Maintains a working knowledge of business unit’s available product and service offerings.

Requirements:

Qualifications

Bachelor's degree or above in computer science, information systems, technology, engineering are preferred.

Other disciplines are welcome to apply if you have a strong interest or sufficient knowledge in IT domains

At least 4 years of experience in IT Project Management role and 6 years total professional experience
Strong communication skills, well-versed in English (spoken and written) to facilitate cross border

Communications and collaborations

Strong stakeholder management skills to communicate across various departments and levels
Strong time management skills, detailed and results-oriented
Familiar with startup environment and understanding of dynamics between design, engineering, product and customer service is a plus
Experience with agile and project management software like Jira
Committed to the values of integrity, accountability, and customer centric

Project Management

Develop the integrated project plans to determine time frame, procedures for accomplishing projects
Assess consolidated project plans for dependencies, gaps and continued business value
Plan and manage project closure and/or transitions
Work with stakeholders to establish and gain consensus on project goals, objectives and deliverables
Conduct project reviews to recommend changes to project schedules or resource requirements
Document and track project scope, changes, issues and risks that affect implementation
Facilitate the daily stand-up to achieve team consensus
Eliminate conflicts and assist in developing solutions to manage roadblocks
Plan and manage testing cycle with customer

Customer Success

3-5 years experienced engineer in design; pre / post implementation tracking / successful execution on the following categories:
Building management systems
Security systems / cameras; sensors; beacons
IOT implantation within campuses / buildings
IT security systems – understanding of the way they work / get implemented
Comfortable with client interactions and working with client’s vendors / partners

Other Areas:

Participates periodically in client meetings or business development presentations as part of a Team to help demonstrate our capabilities. Assists with the development of marketing materials and support

Information/data. Maintains a working knowledge of business unit’s available product and service offerings.

Requirements:

Qualifications

Bachelor's degree or above in computer science, information systems, technology, engineering are preferred.

Other disciplines are welcome to apply if you have a strong interest or sufficient knowledge in IT domains

At least 4 years of experience in IT Project Management role and 6 years total professional experience
Strong communication skills, well-versed in English (spoken and written) to facilitate cross border

Communications and collaborations

Strong stakeholder management skills to communicate across various departments and levels
Strong time management skills, detailed and results-oriented
Familiar with startup environment and understanding of dynamics between design, engineering, product and customer service is a plus
Experience with agile and project management software like Jira
Committed to the values of integrity, accountability, and customer centric

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Full Stack Developer - Averlon

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Demand forecasting

Optimization

WyngCommerce is building state of the art AI software for the Global Consumer Brands & Retailers to enable best-in-class customer experiences. Our vision is to democratise machine learning algorithms for our customers and help them realise dramatic improvements in speed, cost and flexibility. Backed by a clutch of prominent angel investors & having some of the category leaders in the retail industry as clients, we are looking to hire for our data science team. The data science team at WyngCommerce is on a mission to challenge the norms and re-imagine how retail business should be run across the world. As a Senior Data Scientist in the team, you will be driving and owning the thought leadership and impact on one of our core data science problems. You will work collaboratively with the founders, clients and engineering team to formulate complex problems, run Exploratory Data Analysis and test hypotheses, implement ML-based solutions and fine tune them with more data. This is a high impact role with goals that directly impact our business. Your Role & Responsibilities - - Lead and Own the Thought Process on one or more of our core Data Science problems e.g. Product Clustering, Intertemporal Optimization, etc. - Actively participate and challenge assumptions in translating ambiguous business problems into one or more ML/optimization problems - Implement data-driven solutions based on advanced ML and optimization algorithms to address business problems - Research, experiment, and innovate ML/statistical approaches in various application areas of interest and contribute to IP - Partner with engineering teams to build scalable, efficient, automated ML-based pipelines (training/evaluation/monitoring) - Deploy, maintain, and debug ML/decision models in production environment - Analyze and assess data to ensure high data quality and correctness of downstream processes - Define and own metrics on solution quality, data quality and stability of ML pipelines - Communicate results to stakeholders and present data/insights to participate in and drive decision making Desired Skills & Experiences - - Bachelors or Masters in a quantitative field from a top tier college. - Minimum of 3+ years experience in a data science role in a technology company - Solid mathematical background (especially in linear algebra, probability theory, optimization theory, decision theory, operations research) - Familiarity with theoretical aspects of common ML techniques (generalized linear models, ensembles, SVMs, clustering algos, graphical models, etc.), statistical tests/metrics, experiment design, and evaluation methodologies - Solid foundation in data structures, algorithms, and programming language theory - Demonstrable track record of dealing with ambiguity, prioritizing needs, bias for iterative learning, and delivering results in a dynamic environment with minimal guidance - Hands-on experience in at least one of the focus areas of WyngCommerce Data Science team: (a) Product Clustering, (b) Demand Forecasting, (c) Intertemporal Optimization, (d) Reinforcement Learning, (e) Transfer Learning - Good programming skills (fluent in Java/Python/SQL) with experience of using common ML toolkits (e.g., sklearn, tensor flow, keras, nltk) to build models for real world problems - Computational thinking and familiarity with practical application requirements (e.g., latency, memory, processing time) - Experience using Cloud-based ML platforms (e.g., AWS Sagemaker, Azure ML), Cloud-based data storage, and deploying ML models in product environment in collaboration with engineering teams - Excellent written and verbal communication skills for both technical and non-technical audiences - (Plus Point) Experience of applying ML / other techniques in the domain of supply chain - and particularly in retail - for inventory optimization, demand forecasting, assortment planning, and other such problems - (Nice to have) Research experience and publications in top ML/Data science conferences

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