senior content writer

Job Title: Assistant Manager - Sales - BUILDING AUTOMATION SOLUTIONS

1. Job Overview: The position requires a dynamic Sales and Marketing Engineer with experience in BUILDING AUTOMATION SOLUTIONS Project Sales. The role involves driving sales, building client

relationships, and promoting BUILDING AUTOMATION SOLUTIONS to achieve business objectives.

2. Responsibilities:

Sales and Marketing Strategy:

 Develop and implement comprehensive sales and marketing strategies for BUILDING

AUTOMATION SOLUTIONS.

 Identify and pursue new business opportunities in target markets and industry segments.

 Collaborate with the marketing team to create compelling promotional materials.

Client Engagement:

 Build and maintain strong relationships with existing clients while actively seeking new

partnerships.

 Conduct client needs assessments and propose tailored BUILDING AUTOMATION

SOLUTIONS

 Conduct product demonstrations and presentations to showcase the benefits of offerings.

Technical Expertise:

 Possess in-depth technical knowledge of BUILDING AUTOMATION SOLUTIONS & ELV

systems.

 Provide technical support to clients during pre-sales and post-sales phases.

 Stay abreast of industry trends to position solutions competitively.

Market Analysis:

 Conduct market research to identify industry trends, competitor activities, and market

demands.

 Analyze customer feedback and market dynamics to enhance product offerings.

3. Qualifications:

 Bachelor's degree in Instrumentational / Electronics Engineering, Automation, or a related

field.

 Proven experience in sales and marketing of BUILDING AUTOMATION SOLUTIONS.

 Strong technical understanding of HVAC and BUILDING AUTOMATION SOLUTIONS.

 Excellent communication and presentation skills.

 Results-oriented with a track record of meeting or exceeding sales targets.

4. Key Skills:

 Automation Sales BUILDING AUTOMATION SOLUTIONS/ELV /Project Sales

Additional Skills:

 Automation Products/Project Knowledge.

5. Benefits

 Competitive salary and commission structure.

 Health insurance and other benefits.

 Opportunities for professional development.

Experiences: 8 – 10 years

Salary: As per industry norms

Sal: Upto 30LPA+ESOPs

Location: Bangalore and Mumbai

Hybrid work mode

EXP: 3-6y

Roles & Responsibilities

Cashflo, true to its name, is on a mission to unlock $100+ billion of trapped working capital in

the economy by creating India’s largest marketplace for invoice discounting to solve the

day-to-day cashflow problems faced by businesses. Founded by ex-BCG and ISB / IIM

alumni, and backed by General Catalysts and Elevation Capital, Cashflo helps democratize

access to credit in a fair and transparent manner.

Awarded Supply Chain Finance solution of the year in 2019, Cashflo creates a win-win

ecosystem for Buyers, suppliers and financiers through its unique platform model. Cashflo

shares its parentage with HCS Ltd., a 25 year old, highly reputed financial services company

has raised over Rs. 15,000 Crores in the market till date, for over 200 corporate clients.

Our leadership team consists of ex-BCG, ISB / IIM alumni with a team of industry veterans

serving as the advisory board. We bring to the table deep insights in the SME lending space,

based on 100+ years of combined experience in Financial Services. We are a team of

passionate problem solvers and big thinkers and are looking for like-minded people to join

our team.

We are looking for someone who loves a challenge, is ambitious, super tenacious and

persistent. S/he is a self-starter, thrives in a dynamic, small start-up environment, has a

knack for understanding customer needs, and loves to get sh*t done! If you check these

boxes - we want to talk to you!

The opportunity:

-Solve a complex $300+ billion problem at the cutting edge of Fintech innovation, and make

a tangible difference to the small business landscape in India

-Join a high performance, dynamic and collaborative work environment that throws new

challenges on a daily basis

-Be part of the early founding team and be directly responsible for driving the company's

success

Key Responsibilities

-As an early team member, you will get a chance to set the foundations of our engineering

culture. You will help articulate our engineering principles and help set the long-term

roadmap.

-Making decisions on the evolution of Cashflo's technical architecture

-Building new features end to end, from talking to customers to writing code

Our Ideal Candidate Will Have

● 3+ years of full-time software engineering experience

● Experience building scalable backend platforms (you've owned & built features from start

to

finish before)

● Thorough knowledge of SDLC

● Extensive knowledge of any of Python, Go, NodeJS

● Expertise on any RDBMS or NoSQL databases

● Understanding of messaging systems like RabbitMQ, Kafka and protocols

● Understands CI/CD pipelines

● Exposure to cloud providers like AWS, GCP or Azure

● Seen extensive scale and understands the evolutionary technical challenges

About You

-Product-minded. You have a sense for great user experience and feel for when something

is off. You love understanding customer pain points and solving for them.

-Get a lot done. You enjoy all aspects of building a product and are comfortable moving

across the stack when necessary. You problem solve independently and enjoy figuring stuff

out.

-High conviction. When you commit to something, you're in all the way. You're opinionated,

but you know when to disagree and commit. Mediocrity is the worst of all possible outcomes.

What’s in it for you

● Gain exposure to the Fintech space - one of the largest and fastest growing markets in

India

and globally

● Shape India’s B2B Payments landscape through cutting edge technology innovation

● Be directly responsible for driving company’s success

● Join a high performance, dynamic and collaborative work environment that throws new

challenges on a daily basis

● Fast track your career with trainings, mentoring, growth opportunities on both IC and

management track

● Work-life balance and fun team events

Role Objectives 

• Participate in complex design and software development tasks within an appropriate schedule, task, and quality guidelines set in conjunction with the Senior Platform Specialists and Platform Architect  

• Hands-on development and implementation of solutions including configuration of our platform components and custom development 

• Tasks associated with testing and documentation of solution implemented 

Academic Qualification
B.E/B.Tech/MCA in computer science Engineering or a related field. 

Experience Profile  

4 to 10 years of experience in development or platform implementations. 

Required Technical Skillset for Java Development
Java/J2EE, HTML, CSS. JavaScript, SQL, Servlets, Spring Boot, Hibernate, Web services, SOAP, Restful API

Good to have:
Knowledge in Liferay themes & hooks, Ant, Maven, CI/CD, AWS/GCP/Azure, Docker experience 

Must be capable of coding and unit testing their own code
Team player with good interpersonal skills
Should have strong analytical skills                                                     
Good communication skills
Capable of juggling several priorities and delivering results on time in a high-pressure, dynamic environment.

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.

• 5+ years of software development or site reliability engineering or equivalent experience
• Skilled at problem solving, algorithms, and data structures
• Building tools and scripting frameworks from scratch
• Working with Cloud Automation tools like CloudFormation, Terraform, CDK, aws-cli
• Scripting languages like Python, Groovy, PowerShell, Bash, Perl etc.
• Configuration automation using Ansible or equivalent tools
• Exposure to Windows, Linux administration skills
• Project management tools like Jira, Trello
• Prior experience in dealing with Datastore technologies like Postgres, MySQL, SQL, DynamoDB is desirable
• Familiarity with basic networking, security and cloud engineering concepts
• Team player who is eager to help others to succeed through mentoring and leading by example
• Highly collaborative with effective written and verbal communication skills

Ideal skills:

1) 2-5 years of professional JavaScript development experience

2) Understanding of asynchronous programming and its quirks and workarounds

3) Comfortable working through the entire stack from the user interface through systems levels

4) Understanding accessibility and security compliance

5) Strong Logical and Analytical Skills

6) Experience in consuming web services (REST) and processing data (JSON)

7) Experience with SQLite, NoSQL, Redis or other databases

8) Proven experience in building API services using NodeJS Express and related frameworks

9) Good understanding of NodeJS asynchronous runtime

10) Good understanding of JS concepts on callbacks and closures

11) Experience in debugging issues related to memory leaks

12) Experience in building highly scalable and high throughput services with sub-second response times

13) Experience with ElasticSearch/Solr

14) Experience working in a collaborative team environment

15) Ability to understand and analyse issues across multiple vendors and interfaces

16) Experience with NoSQL queries

17) Experience with AWS

18) Experience with Android Development

19) Experience in managing/mentoring small teams

In depth knowledge of all of the above is not mandatory but the nature of the work will involve learning and getting involved with all of the above. You would be working directly with key members of the management team to define and drive technical strategy.

Experience in the mobile space is mandatory. Please only apply if you have been part of building a mobile product. Since our product is mobile only, it is essential that you understand implications on the front end.