Product Designer

Job Description - Manager Sales

Min 15 years experience,

Should be experience from Sales of Cloud IT Saas Products portfolio which Savex deals with,

Team Management experience, leading cloud business including teams

Sales manager - Cloud Solutions

Reporting to Sr Management

Good personality

Distribution backgroung

Keen on Channel partners

Good database of OEMs and channel partners.

Age group - 35 to 45yrs

Male Candidate

Good communication

B2B Channel Sales

Location - Bangalore

If interested reply with cv and below details

Total exp -

Current ctc - 

Exp ctc - 

Np -

Current location - 

Qualification - 

Total exp Channel Sales -

What are the Cloud IT products, you have done sales for? 

What is the Annual revenue generated through Sales ?

Job Description below :

Required Skills

BSc/B.E./B.Tech in Computer Science or an equivalent field.

5+ years' solid commercial experience in software development using experience using Java8, Spring boot, Hibernate, Spring Cloud and related frameworks.

Experience with Angular 8+ versions, B.J‹JS 6, IS/TypeScript

Knowledge of HTML/CSS

Good understanding of Design Patterns

Proficiency with SQL database development, including data modelling and DB performance tuning

Ability to work with customers, gather requirements and create solutions independently

Active participation within and among teams and colleagues distributed globally

Excellent problem-solving skills, in particular a methodical approach to dealing with problems across distributed systems.

Agile development experience

Desired Skills

Experience with angular forms

Experience with dynamic forms/ dynamic angular components

Experience with java Spring boot

Knowledge of Kafka Stream Processing

Understanding of secure software development concepts, especially in a cloud platform

Good communication skills.

Strong organizational skills.

Understanding of test management and automation software (e.g. ALM, Jira, JMeter).

Familiarity with Agile frameworks and Regression testing.

Previous experience within the Financial domain.

About Potentiam

Potentiam helps SME companies build world-class offshore teams. Our model is our locations and your dedicated staff under your control. Potentiam have offices in Iasi in Romania, Bangalore and Cape Town, home to large liquid pools of offshore talent working for international companies. Potentiam's management team have had over 15 years' experience in building offshore teams, and have specialist functional expertise to support the transition offshore in technology, finance, operations, engineering, digital marketing, technology and analytics. For decades corporations' scale has enabled them to benefit from the cost and skills advantage of offshore operations. Now SME companies can enjoy a similar benefit through Potentiam without any upfront investment.

Location : Bangalore ( Hybrid)

Skills

• Good experience in EPM platform tools, specially in Tagetik.

• Experience implementing CPM/EPM systems.

• Experience in end to end implementation is required.

• Experience in Financial Consolidation and troubleshooting.

• Excellent documentation skills, with the ability to write clear, concise technical and business documents.

• Experience of understanding in report building, setting up dimensions and hierarchy, ETL and UAT

Benefits and Perks

• Health Insurance

• Referral Bonus

• Performance Bonus

• Flexible Working options

• EDW/BI experience of 15+ years with at least 2-3 end to end EDW implementation experience as Solution or Technical program manager
• Must have at least ONE Azure Data Platform implementation experience as Solution or Technical Project manager (Azure, Databricks, ADF, PySpark)
• Must have technology experience in any of the ETL tools like Informatica, Datastage and etc.
• Excellent communication and presentation skills
• Should be well versed with project estimation, project planning, execution, tracking & monitoring
• Should be well versed with delivery metrics in Waterfall and/or Agile delivery models, scrum management
• Preferred to have technology experience of any of the BI tools like MicroStrategy, Tableau, Power BI and etc.

Hands-on experience in Autosar methodologies and workflows.

• Sound understanding of embedded SW development using C on 32/64 bit microcontrollers.

• Experience in at least one of microcontroller architectures: Renesas RH family, Tricore or PowerPC architecture.

• Automotive Product Development Process knowledge (ASpice, ISO26262)

• Experience in one or more of Autosar BSW Modules stacks.

• Autosar based SWcs development in any domain of cluster, ADAS and IVI system.

• Com stack (FlexRay, CAN, LIN, Ethernet) / Memory Stack/ Diagnostic stack/ OS, Wdg, other services.

• Working knowledge on AUTOSAR ECU software architecture

• Understand the various features provided by AUTOSAR BSW modules and configure BSW modules in Davinci Configurator or similar tools

• Understand the AUTOSAR application (SW-C) configuration and the interaction of AUTOSAR applications (SW-C) with the underlying BSW modules

• Understand the functionality of RTE, mapping of application entities with BSW module parameters, OS scheduling concepts, ECU and BSW module state changes

• Understand the AUTOSAR methodology (ECU extract contents, import of ECU extract into configuration tool)

Understand the flow of the AUTOSAR software from application till the underlying driver.

• Main point of contact for specific accounts
• May not oversee the day-to-day running of the account
• Primarily responsible for managing that account and maintaining an excellent client relationship.
• Establish budgets with the client
• SPOC for any conflict resolution
• Leads Account reviews
• Writes creative briefs, and approves payments to and from the client
• In charge of contracts and contract renewals, quality control on the account
• Actively pursues new opportunities with the client - The more opportunities, the more work, and money, for BIW.

About Turing:

Turing enables U.S. companies to hire the world’s best remote software engineers. 100+ companies including those backed by Sequoia, Andreessen, Google Ventures, Benchmark, Founders Fund, Kleiner, Lightspeed, and Bessemer have hired Turing engineers. For more than 180,000 engineers across 140 countries, we are the preferred platform for finding remote U.S. software engineering roles. We offer a wide range of full-time remote opportunities for full-stack, backend, frontend, DevOps, mobile, and AI/ML engineers.

We are growing fast (our revenue 15x’d in the past 12 months and is accelerating), and we have raised $14M in seed funding (https://tcrn.ch/3lNKbM9">one of the largest in Silicon Valley) from:

• Facebook’s 1st CTO and Quora’s Co-Founder (Adam D’Angelo)
• Executives from Google, Facebook, Square, Amazon, and Twitter
• Foundation Capital (investors in Uber, Netflix, Chegg, Lending Club, etc.)
• Cyan Banister
• Founder of Upwork (Beerud Sheth)

We also raised a much larger round of funding in October 2020 that we will be publicly announcing over the coming month. 

Some articles about Turing:

• https://techcrunch.com/2020/08/25/turing-raises-14m-to-help-source-vet-place-and-manage-remote-developers-in-tech-jobs/">TechCrunch: Turing raises $14M seed to help source, vet, place, and manage remote developers
• https://www.theinformation.com/articles/six-startups-prospering-during-coronavirus">The Information: Six Startups Prospering During Coronavirus
• https://medium.com/@cyanbanister/turing-helps-the-world-level-up-ff44b4e6415d">Cyan Banister: Turing Helps the World Level Up
• https://turing.com/boundarylessblog/2019/10/the-future-of-work-is-remote/the-future-of-work/">Jonathan Siddharth (Turing CEO): The Future of Work is Remote.

Turing is led by successful repeat founders Jonathan Siddharth and Vijay Krishnan, whose last A.I. company leveraged elite remote talent and had a successful acquisition. (https://techcrunch.com/2017/02/23/revcontent-acquires-rover/">Techcrunch story). Turing’s leadership team is composed of ex-Engineering and Sales leadership from Facebook, Google, Uber, and Capgemini.

About the role:

Software developers from all over the world have taken 200,000+ tests and interviews on Turing. Turing has also recommended thousands of developers to its customers and got customer feedback in terms of customer interview pass/fail data and data from the success of the collaboration with a U.S customer. This generates a massive proprietary dataset with a rich feature set comprising resume and test/interview features and labels in the form of actual customer feedback. Continuing rapid growth in our business creates an ever-increasing data advantage for us. 

We are looking for a Machine Learning Scientist who can help solve a whole range of exciting and valuable machine learning problems at Turing. Turing collects a lot of valuable heterogeneous signals about software developers including their resume, GitHub profile and associated code and a lot of fine-grained signals from Turing’s own screening tests and interviews (that span various areas including Computer Science fundamentals, project ownership and collaboration, communication skills, proactivity and tech stack skills), their history of successful collaboration with different companies on Turing, etc. 

A machine learning scientist at Turing will help create deep developer profiles that are a good representation of a developer’s strengths and weaknesses as it relates to their probability of getting successfully matched to one of Turing’s partner companies and having a fruitful long-term collaboration. The ML scientist will build models that are able to rank developers for different jobs based on their probability of success at the job. 

     
 You will also help make Turing’s tests more efficient by assessing their ability to predict the probability of a successful match of a developer with at least one company. The prior probability of a registered developer getting matched with a customer is about 1%. We want our tests to adaptively reduce perplexity as steeply as possible and move this probability estimate rapidly toward either 0% or 100%; maximize expected information-gain per unit time in other words. 

As an ML Scientist on the team, you will have a unique opportunity to make an impact by advancing ML models and systems, as well as uncovering new opportunities to apply machine learning concepts to Turing product(s).

This role will directly report to Turing’s founder and CTO, https://www.linkedin.com/in/vijay0/">Vijay Krishnan. This is his https://scholar.google.com/citations?user=uCRc7DgAAAAJ&;hl=en">Google Scholar profile. 

Responsibilities:

• Enhance our existing machine learning systems using your core coding skills and ML knowledge.
• Take end to end ownership of machine learning systems - from data pipelines, feature engineering, candidate extraction, model training, as well as integration into our production systems.
• Utilize state-of-the-art ML modeling techniques to predict user interactions and the direct impact on the company’s top-line metrics.
• Design features and builds large scale recommendation systems to improve targeting and engagement.
• Identify new opportunities to apply machine learning to different parts of our product(s) to drive value for our customers.

Minimum Requirements:

• BS, MS, or Ph.D. in Computer Science or a relevant technical field (AI/ML preferred).
• Extensive experience building scalable machine learning systems and data-driven products working with cross-functional teams
• Expertise in machine learning fundamentals, applicable to search - Learning to Rank, Deep Learning, Tree-Based Models, Recommendation Systems, Relevance and Data mining, understanding of NLP approaches like W2V or Bert.
• 2+ years of experience applying machine learning methods in settings like recommender systems, search, user modeling, graph representation learning, natural language processing.
• Strong understanding of neural network/deep learning, feature engineering, feature selection, optimization algorithms. Proven ability to dig deep into practical problems and choose the right ML method to solve them.
• Strong programming skills in Python and fluency in data manipulation (SQL, Spark, Pandas) and machine learning (scikit-learn, XGBoost, Keras/Tensorflow) tools.
• Good understanding of mathematical foundations of machine learning algorithms.
• Ability to be available for meetings and communication during Turing's "coordination hours" (Mon - Fri: 8 am to 12 pm PST).

Other Nice-to-have Requirements:

• First author publications in ICML, ICLR, NeurIPS, KDD, SIGIR, and related conferences/journals. 
• Strong performance in Kaggle competitions.
• 5+ years of industry experience or a Ph.D. with 3+ years of industry experience in applied machine learning in similar problems e.g. ranking, recommendation, ads, etc.
• Strong communication skills.
• Experienced in leading large-scale multi-engineering projects.
• Flexible, and a positive team player with outstanding interpersonal skills.

• Designing and building the website back-ends.
• Creating the website architecture.
• Designing and managing the website back-end including database and server integration.
• Conducting website performance tests.
• Troubleshooting content issues.
• Building new features and plugins for existing products written in WordPress.
• Improvising and maintaining of various user facing dashboards & e-commerce apps.

• Minimum 3 years of experience as WordPress Developer.
• Proficiency in PHP and mysql.
• Should have expertise in WordPress theme customisation, OOPS, API fundamentals.
• Should have good knowledge of Jquery, JavaScript, HTML and CSS.
• Experience in MVC patterns, building Web APIs, OOPS, JavaScript, HTML and CSS.
• Knowledge of building WordPress plugin creation.
• Excellent written and spoken English.

• Experience in setting up and working with CI/CD pipelines.
• Basic DevOps.
• Experience with deploying and managing applications to web servers.