Content Writer

Role & Responsibilities

The campaign manager is responsible for the technical implementation, management, and optimization of Google Ads campaigns. This role involves ad trafficking, troubleshooting technical issues, and ensuring accurate and efficient campaign execution. The ideal candidate will have strong technical skills, a deep understanding of Google Ads, and a meticulous approach to campaign management.

• Campaign Setup and Management: Create and manage Google Ads campaigns across Search, Display, & UAC.
• Performance Optimization: Monitor and optimize campaigns to improve key metrics such as CTR, CPC, CPA, and ROI.
• Reporting & Analytics: Generate insightful reports to communicate actionables, campaign performance and ROI to stakeholders.
• A/B Testing: Conduct A/B tests on ad copy, creatives, and landing pages to enhance campaign performance.
• Technical Troubleshooting: Identify and resolve technical issues related to ad delivery,tracking , and ad disapprovals.
• Collaboration: Work closely with product and design teams to ensure campaign success.
• Competitor Research: Periodically monitor and evaluate competitor best practices to stay ahead and grow market share.
• Automation: Utilize Google Scripts/rules to automate repetitive tasks and optimize campaign management.
• Industry Trends: Stay ahead in the constantly evolving digital marketing landscape.

Ideal Candidate

• Strong B2C Performance Marketing Profile
• Mandatory (Experience 1): Must have 3+ YOE in managing performance marketing in atleast 1 of Google ads campaigns (Search, Display, Universal App Campaigns UAC)
• Mandatory (Experience 2): Must have hands-on experience with campaign setup, execution, daily optimization, reporting, and performance tracking across key KPIs (CTR, CPC, CPA, ROI)
• Mandatory (Experience 3): Must have strong technical skills including familiarity with Google Tag Manager, Google Analytics
• Mandatory (Company): Must have worked at a B2C digital/tech product company or a digital marketing agency managing B2C digital/tech product clients
• Mandatory (Exclusion): Avoid all e-commerce companies like Meesho, Amazon, Flipkart, Swiggy, as their scope of work is limited and irrelevant to their requirement.
• Note: Candidates must be from B2C tech product companies where the core user experience is driven by the technology itself—not from companies like Ola, Swiggy, Zepto, Zomato, Uber, where the user experience is shaped by a tangible service (e.g., food delivery or cab rides).
• Mandatory (Stability): Minimum 2 years per role required. One short stint is acceptable if there’s a long tenure (eg: 5+ years) in a prior role. Frequent job changes are straight rejects.
• Note: Total years of experience must not exceed 6 years.

Perks, Benefits and Work Culture

• Flexible work hours and leaves
• Salary advance
• Maternity/Paternity leave benefits & adoption assistance
• Butler & Concierge services
• Team Off-sites & Celebrations

Beyond Work:

• Insurance benefits for you and family
• Interest-free loans
• Gift vouchers for special moments
• Fully-equipped Gym
• Education Sponsorship Programs

We're on a mission to make it possible for every person, team, and company to be able to tailor their software to solve any problem and take on any challenge. Computers may be our most powerful tools, but most of us can't build or modify the software we use on them every day. At Notion, we want to change this with focus, design, and craft.

We've been working on this together since 2016, and have customers like Pixar, Mitsubishi, Figma, Plaid, Match Group, and thousands more on this journey with us. Today, we're growing fast and excited for new teammates to join us who are the best at what they do. We're passionate about building a company as diverse and creative as the millions of people Notion reaches worldwide.

Millions of people use Notion — and this number is increasing every day. That means a million people trust us to deliver a fast, reliable, and secure experience, and we value this more than anything. We want to keep earning trust, while also continuing to amaze our users with the tools they can build in Notion. This is where you come in — to help us forge a performant and reliable path forward to the future.

• Write clean, secure, tested, and documented code.
• Design & enhance the Notion platform with new capabilities, as and when the need arises.
• Contribute to monitoring & scaling the architecture of the platform and the infrastructure.
• Write technical documentation, and contribute to determining internal processes.
• Contribute to recruiting of new backend employees

• 6+ years of experience building scalable platforms. 
• Good understanding of database (Relational Or Nosql) internals like transactions, indexes. Experience in schema design.
• 2+ years of experience working on the AWS platform, and acquaintance with technologies like Elastic Beanstalk, AWS Lambda, Elastic Load Balancer.
• Good understanding of docker internals.
• Good communication skills, good leadership skills, attention to detail, a sound understanding of algorithms, and object-oriented programming.

• You're proficient with any part of our technology stack: React, TypeScript, Node.js, Memcached, Postgres, Docker, and Elasticsearch.
• You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work.
• You have interests outside of technology, such as in art, history, or social sciences.

Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Notion.

Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation made due to a disability, please let your recruiter know.

Requirements:

• Proficiency in shell scripting.
• Proficiency in automation of tasks.
• Proficiency in Pyspark/Python.
• Proficiency in writing and understanding of sqoop.
• Understanding of Cloud Era manager.
• Good understanding of RDBMS.
• Good understanding of Excel.
• Familiarity with Hadoop ecosystem and its components.
• Understanding of data loading tools such as Flume, Sqoop etc.
• Ability to write reliable, manageable, and high-performance code.
• Good knowledge of database principles, practices, structures, and theories.

Best place to hide a dead body is page two of Google.

So., We are looking for  SEO/SEM expert to manage all search engine optimization and marketing activities.You will be responsible for managing all SEO activities such as content strategy, link building and keyword strategy to increase rankings on all major search networks. You will also manage all SEM campaigns on Google, Yahoo and Bing in order to maximize ROI.
Exp : Minimum 1 yr 

Responsibilities

• Execute tests, collect and analyze data and results, identify trends and insights in order to achieve maximum ROI in paid search campaigns

• Track, report, and analyze website analytics and PPC initiatives and campaigns

• Manage campaign expenses, staying on budget, estimating monthly costs and reconciling discrepancies.

• Optimize copy and landing pages for search engine marketing

• Perform ongoing keyword discovery, expansion and optimization

• Research and implement search engine optimization recommendations

• Research and analyze competitor advertising links

• Develop and implement link building strategy

• Work with the development team to ensure SEO best practices are properly implemented on newly developed code

• Work with editorial and marketing teams to drive SEO in content creation and content programming

• Recommend changes to website architecture, content, linking and other factors to improve SEO positions for target keywords.

• Requirements

• Proven SEO experience

• Proven SEM experience managing PPC campaigns across Google, Yahoo and Bing.

• Solid understanding of performance marketing, conversion, and online customer acquisition

• In-depth experience with website analytics tools (e.g, Google Analytics, NetInsight, Omniture, WebTrends)

• Knowledge of ranking factors and search engine algorithms

• Up-to-date with the latest trends and best practices in SEO and SEM

• Setting KPIs, monitoring key trends, and helping stakeholders by generating insights from the data delivered.
• Understanding user behaviour and performing root-cause analysis of changes in data trends across different verticals.
• Get answers to business questions, identify areas of improvement, and identify opportunities for growth.
• Work on ad-hoc requests for data and analysis.
• Work with Cross functional Teams as when required to automate reports and create informative dashboards based on problem statements.

• 1-2 years of experience working in Analytics as a Business or Data Analyst.
• Analytical mind with a problem-solving aptitude.
• Familiarity with Microsoft Azure & AWS PySpark, Python, Data Bricks, Metabase, Understanding of APIs, data warehouse and ETL etc.
• Proficient in writing Complex Queries in SQL.
• Experience in Performing hands-on analysis on data and across multiple datasets and databases primarily using Excel, Google Sheets and R.
• Ability to work across cross-functional teams proactively.

Role and Responsibilities

• Execute data mining projects, training and deploying models over a typical duration of 2 -12 months.
• The ideal candidate should be able to innovate, analyze the customer requirement, develop a solution in the time box of the project plan, execute and deploy the solution.
• Integrate the data mining projects embedded data mining applications in the FogHorn platform (on Docker or Android).

Core Qualifications
Candidates must meet ALL of the following qualifications:

• Have analyzed, trained and deployed at least three data mining models in the past. If the candidate did not directly deploy their own models, they will have worked with others who have put their models into production. The models should have been validated as robust over at least an initial time period.
• Three years of industry work experience, developing data mining models which were deployed and used.
• Programming experience in Python is core using data mining related libraries like Scikit-Learn. Other relevant Python mining libraries include NumPy, SciPy and Pandas.
• Data mining algorithm experience in at least 3 algorithms across: prediction (statistical regression, neural nets, deep learning, decision trees, SVM, ensembles), clustering (k-means, DBSCAN or other) or Bayesian networks

Bonus Qualifications
Any of the following extra qualifications will make a candidate more competitive:

• Soft Skills
  • Sets expectations, develops project plans and meets expectations.
  • Experience adapting technical dialogue to the right level for the audience (i.e. executives) or specific jargon for a given vertical market and job function.
• Technical skills
  • Commonly, candidates have a MS or Ph.D. in Computer Science, Math, Statistics or an engineering technical discipline. BS candidates with experience are considered.
  • Have managed past models in production over their full life cycle until model replacement is needed. Have developed automated model refreshing on newer data. Have developed frameworks for model automation as a prototype for product.
  • Training or experience in Deep Learning, such as TensorFlow, Keras, convolutional neural networks (CNN) or Long Short Term Memory (LSTM) neural network architectures. If you don’t have deep learning experience, we will train you on the job.
  • Shrinking deep learning models, optimizing to speed up execution time of scoring or inference.
  • OpenCV or other image processing tools or libraries
  • Cloud computing: Google Cloud, Amazon AWS or Microsoft Azure. We have integration with Google Cloud and are working on other integrations.
  • Decision trees like XGBoost or Random Forests is helpful.
  • Complex Event Processing (CEP) or other streaming data as a data source for data mining analysis
  • Time series algorithms from ARIMA to LSTM to Digital Signal Processing (DSP).
  • Bayesian Networks (BN), a.k.a. Bayesian Belief Networks (BBN) or Graphical Belief Networks (GBN)
  • Experience with PMML is of interest (see www.DMG.org).
• Vertical experience in Industrial Internet of Things (IoT) applications:
  • Energy: Oil and Gas, Wind Turbines
  • Manufacturing: Motors, chemical processes, tools, automotive
  • Smart Cities: Elevators, cameras on population or cars, power grid
  • Transportation: Cars, truck fleets, trains

About FogHorn Systems
FogHorn is a leading developer of “edge intelligence” software for industrial and commercial IoT application solutions. FogHorn’s Lightning software platform brings the power of advanced analytics and machine learning to the on-premise edge environment enabling a new class of applications for advanced monitoring and diagnostics, machine performance optimization, proactive maintenance and operational intelligence use cases. FogHorn’s technology is ideally suited for OEMs, systems integrators and end customers in manufacturing, power and water, oil and gas, renewable energy, mining, transportation, healthcare, retail, as well as Smart Grid, Smart City, Smart Building and connected vehicle applications.

Press:  https://www.foghorn.io/press-room/">https://www.foghorn.io/press-room/

Awards: https://www.foghorn.io/awards-and-recognition/">https://www.foghorn.io/awards-and-recognition/

• 2019 Edge Computing Company of the Year – Compass Intelligence
• 2019 Internet of Things 50: 10 Coolest Industrial IoT Companies – CRN
• 2018 IoT Planforms Leadership Award & Edge Computing Excellence – IoT Evolution World Magazine
• 2018 10 Hot IoT Startups to Watch – Network World. (Gartner estimated 20 billion connected things in use worldwide by 2020)
• 2018 Winner in Artificial Intelligence and Machine Learning – Globe Awards
• 2018 Ten Edge Computing Vendors to Watch – ZDNet & 451 Research
• 2018 The 10 Most Innovative AI Solution Providers – Insights Success
• 2018 The AI 100 – CB Insights
• 2017 Cool Vendor in IoT Edge Computing – Gartner
• 2017 20 Most Promising AI Service Providers – CIO Review

Our Series A round was for $15 million.  Our Series B round was for $30 million October 2017.  Investors include: Saudi Aramco Energy Ventures, Intel Capital, GE, Dell, Bosch, Honeywell and The Hive.

About the Data Science Solutions team
In 2018, our Data Science Solutions team grew from 4 to 9.  We are growing again from 11. We work on revenue generating projects for clients, such as predictive maintenance, time to failure, manufacturing defects.  About half of our projects have been related to vision recognition or deep learning. We are not only working on consulting projects but developing vertical solution applications that run on our Lightning platform, with embedded data mining.

Our data scientists like our team because:

• We care about “best practices”
• Have a direct impact on the company’s revenue
• Give or receive mentoring as part of the collaborative process
• Questions and challenging the status quo with data is safe
• Intellectual curiosity balanced with humility
• Present papers or projects in our “Thought Leadership” meeting series, to support continuous learning