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What would you be responsible for in this role?
Responsibilities
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- Tracking and optimizing ad campaigns through Google, Facebook Ad Manager, TikTok and other ad networks aiming to maximize revenues for the wide portfolio of games of the company;
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- Prospecting and integrating new potential Ad Networks through open bidding by Google, Header Bidding and Tag-based;
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- Implementation, monitoring and optimization of in-game advertising features;
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- Responsible for technical troubleshooting (Ad networks integration, API Reporting);
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- Forecasting major ad monetization KPI's (Ad Revenue, eCPM, ARPDAU, etc);
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- Plan, execute, and analyze user acquisition campaigns across performance UA channels;
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- Managing existing relationships with Ad network partners;
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- Lead negotiations with new relevant Ad partners and accompany adding new Ad
networks into our in-game ads system;
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- Collaborate closely with stakeholders including Data Analysts, Product, Developers
teams;
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- Testing and evaluation of new in-game ad formats (rewarded video, interstitials, offer
wall, native, banners);
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- Deriving holistic vision for the long-term usage of in-game advertising in our games;
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- Self-reliant creation of management reports and performance comparisons;
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- Own and drive our mobile marketing funnel optimization efforts;
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- Setup our app store optimization strategy to optimize app store conversion rates;
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- Optimize the performance of our app store creative assets with quantitative testing;
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- Steer and execute the metadata optimization;
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- Monitor and report relevant funnel and conversion KPIs using in-house tracking
technologies and tools;
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- Collaborate with the game teams to coordinate around upcoming game releases and
update launches;
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- Ability to work with MS Office products (such as Word, Excel, PowerPoint);
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- Awareness of social media tools (such as the ones of YouTube, Twitch, Facebook,
Twitter, TikTok and Instagram);
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- Excellent command of English, other language skills would be a plus;
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- Excellent problem solving ability, attention to detail;
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- Proactive and self-motivated with a positive attitude.
- Calling existing and potential customers to persuade them to purchase company products and services.
- Accurately recording details of customers’ purchase orders.
- Processing all customer purchases accordingly.
- Generating promising leads for the outside sales team to pursue.
- Managing customer accounts by ensuring that existing customers remain satisfied with company products and services.
- Developing and sustaining solid relationships with customers to encourage repeat business.
- Using sales scripts proffered by the company to drive sales and respond to customer rejections.
- Developing in-depth knowledge of customer products and services to make suitable recommendations based on customers' needs and preferences.
- Continually meeting or exceeding daily and monthly targets with respect to call volume and sales.
About us:
Arista Networks was founded to pioneer and deliver software driven cloud networking solutions for large datacenter storage and computing environments. Arista's award-winning platforms, ranging in Ethernet speeds from 10 to 400 gigabits per second, redefine scalability, agility and resilience. Arista has shipped more than 20 million cloud networking ports worldwide with CloudVision and EOS, an advanced network operating system. Committed to open standards, Arista is a founding member of the 25/50GbE consortium. Arista Networks products are available worldwide directly and through partners.
About this role:
- You will be working with the WiFi team at Arista, developing cutting edge and next generation WiFi solutions in a fast-paced environment. The WiFi team is responsible for the end to end development of the Cloud managed WiFi product portfolio of Arista. This specific position is for the WiFi AccessPoint team.
- As a core member of the AccessPoint team, you will be working closely with relevant teams to understand product requirements, design the solution, build the software and deliver it for final validation and customer deployment.
- You will also keep track of new and emerging technologies and their impact on Arista products, come up with new and innovative ideas to improve and differentiate the product and help Arista become a leading player in the Campus space.
- You will work closely with sales and support teams to push new solutions, understand customer needs and pain points and help resolve escalations.
- You will not be limited to a single aspect of the product, it will be broad encompassing many different aspects including but not limited to developing new Access Points, designing and implementing new features, tracking new technologies and working closely with the sales and customer teams.
Requirements:
• Strong engineering and Computer Science fundamentals
• Expected to have a strong background in software development and good understanding of systems and networking areas with the knowledge of the WiFi area as an added bonus.
• Minimum 4+ years of relevant experience
• Well versed with programming in one of C/C++ languages
• Experience working in a Linux environment, developing applications or Linux drivers
• Proven experience in any of the below:
- Network device drivers, operating system internals, Kernels, compilers, SOC architecture
- Experience in developing Wi-Fi features (802.11), WLAN MAC Protocol, system integration, evaluate various performance parameters.
- User space development for connectivity related products (Wireless Lan access points/ controllers, networking equipment) in one or more of following areas:
• HostAPD, Portal, RADIUS, AAA, Identity and role management, Radsec
• Tunnels, Firewall, Iptables, Flow Classification, QoS, TLS, DTLS Preferred Skills
• Experience with Wi-Fi device drivers on Linux.
• Hands-on experience in working with one or more WIFI chipset platforms
• Good System Level understanding of the Wireless AP functionality
• Experience in developing Wi-Fi features, system integration, evaluate various performance parameters
Resources:
- Arista Cognitive WiFi : https://www.arista.com/en/products/cognitive-wifi https://youtu.be/cT1INdR-xHQ https://www.youtube.com/watch?v=olPkCOT3MdA
- Arista Cognitive WiFi Datasheet: https://www.arista.com/assets/data/pdf/Datasheets/CloudVision-Wifi-Datasheet.pdf
- Arista's Approach to Software with Ken Duda (CTO): https://youtu.be/TU8yNh5JCyw
- Additional information and resources can be found at https://www.arista.com/en/
- The Architect/ Lead Backend Engineer will handle the digital experience from inception to go-live model.
- The role holder is expected to create a vision and roadmap for the digital experience to provide best in class customer experience for each of the product solutions handled. The role holder will play a critical role in leading the innovation and growth of our front end web and mobile platforms.
- Must be from Good Companies and have been working on high Scale of Traffic
- Proficiency in engineering practices and writing high quality code, with expertise in either one of Java or Groovy or Go.
- 3+ years of experience building microservices.
- Strong experience in architecting and building distributed systems, scalability, and availability
- Strong knowledge of data structures, algorithms, and designing for performance
- Strong knowledge of cloud technologies like AWS/Google Cloud/Azure
- Good understanding of RxJava or Actors framework
- Proficient with RDBMS
- Strong knowledge on data stores, database design, data modelling and SQL queries
- Extensive experience building and owning large- scale distributed backend systems
- Experience working with three or more of : Unix/Linux environments, Distributed and parallel systems, Workflow automation, CI/CD Platform development, Cloud platforms development e.g. AWS/GCP, Kubernetes/Container platforms based development
The creator economy with local production. ( GE1)
- Graduate degree with a strong academic performance from a top tier university
- You can think in terms of the big picture but deliver on the details
- You have an instinct for great product design and are an advocate for new features with qualitative and quantitative reasoning
- You do whatever it takes to make your product and team successful, whether that means writing a testing plan, analyzing large data sets, or hunting down the root cause of a user’s frustration
- You can turn incomplete, conflicting, or ambiguous inputs into solid action plans
- You communicate with empathy, precision, and clarity
- You are technical enough to ask engineers good questions about architecture and product decisions alike
- Beyond just shipping new products, you obsess about continuous product improvement
- While we generally value attitude over skills, we expect that you’ve spent at least five years in a fast-paced product management role
What you will be doing:
- Grow an efficient, collaborative team of data scientists, data engineers, and BI developers by hiring, coaching, mentoring, and sharing feedback that preserves company culture and values
- Prioritize work for your team, making rational tradeoffs on priorities based on business constraints, ensuring on-time deliverables and high-quality solutions
- Working with our Engineering teams to improve and advance our development practices based on a data-driven and analytical approach
- Collaborate and maintain a high level of interaction and cooperation with technical and non-technical stakeholders across Gelato
- Partner closely with our product team and stakeholders to improve planning and prioritization
- Drive the analytics and data science roadmap in Gelato
- Work in European time zones
- Who you are
- Developing telemetry software to connect Junos devices to the cloud
- Fast prototyping and laying the SW foundation for product solutions
- Moving prototype solutions to a production cloud multitenant SaaS solution
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
- Build analytics tools that utilize the data pipeline to provide significant insights into customer acquisition, operational efficiency and other key business performance metrics.
- Work with partners including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
- Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
- Work with data and analytics specialists to strive for greater functionality in our data systems.
Qualification and Desired Experiences
- Master in Computer Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background
- 5+ years experiences building data pipelines for data science-driven solutions
- Strong hands-on coding skills (preferably in Python) processing large-scale data set and developing machine learning model
- Familiar with one or more machine learning or statistical modeling tools such as Numpy, ScikitLearn, MLlib, Tensorflow
- Good team worker with excellent interpersonal skills written, verbal and presentation
- Create and maintain optimal data pipeline architecture,
- Assemble large, sophisticated data sets that meet functional / non-functional business requirements.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Experience with AWS, S3, Flink, Spark, Kafka, Elastic Search
- Previous work in a start-up environment
- 3+ years experiences building data pipelines for data science-driven solutions
- Master in Computer Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background
- We are looking for a candidate with 9+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
- Experience with big data tools: Hadoop, Spark, Kafka, etc.
- Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
- Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
- Experience with AWS cloud services: EC2, EMR, RDS, Redshift
- Experience with stream-processing systems: Storm, Spark-Streaming, etc.
- Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
- Strong hands-on coding skills (preferably in Python) processing large-scale data set and developing machine learning model
- Familiar with one or more machine learning or statistical modeling tools such as Numpy, ScikitLearn, MLlib, Tensorflow
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and find opportunities for improvement.
- Strong analytic skills related to working with unstructured datasets.
- Build processes supporting data transformation, data structures, metadata, dependency and workload management.
- A successful history of manipulating, processing and extracting value from large disconnected datasets.
- Proven understanding of message queuing, stream processing, and highly scalable ‘big data’ data stores.
- Strong project management and interpersonal skills.
- Experience supporting and working with multi-functional teams in a multidimensional environment.
About Company:
ACKO General Insurance: Acko is India’s first online-only insurance company focused on independent general insurance with its entire operations offered through the digital platform. Being India’s first online-only insurtech player Acko plans to launch low-cost, small-ticket insurance products based on data analytics. Acko plans to create products and deliver opportunities in areas where there are gaps such as personalized insurance products based on user consumption behaviors. Distribution will be key for Acko as it competes with the large insurers which have massive reach. Acko will bring out multiple product lines, offer bespoke pricing and products catering to specific segments and create products for the internet economy. Low cost products for the rural sector will also be key over a period of time, delivered via technology. Website: https://www.acko.com/">https://www.acko.com/
We are a Series C funded company and backed by a marquee set of investors like Mr. Binny Bansal, Amazon, Accel, SAIF, Catamaran etc. Our total funding till date is $143 Million.
ounding Team:
Varun Dua, Founder and CEO
Amit Upadhay, CTO (Ex- BrowserStack, CoverFox, Alumni IIT Bombay)
Deepak Angrula, VP Engineering (Ex-CoverFox, Alumni IIT Bombay)
Vaibhav Shah, VP Engineering (Ex-Tesco, Ola , Alumni IIT Bombay)
Job Description:
Here’s what you'll do:
- Lead and mentor a team of 6-10 talented engineers.
- Develop, test, and deploy features across the entire stack alongside your teammates.
- Responsible for hiring, mentoring and development of our team of engineers to grow a
high-performance engineering organization.
- Collaborate with product & technology teams to deliver major initiatives that drive our
customer growth.
- Guide engineering technical strategy and roadmaps.
- Commitment to high code quality and delivery requirements.
Here's what we're looking for :
- Minimally 8 years of work experience on large-scale and high-traffic projects, preferably in consumer-focused product startups.
- Minimally 2 years of hands-on technical leadership or people management.
- Hands on experience working with Web Back-end.
- Strong hands on coding, design, and architectural skills.
- Comfortable with ambiguity and rapid change: excited about pushing out lots of code
quickly and constantly iterating.
- Experience with hiring and building self-sustaining teams.
- Thorough and methodical: you enjoy working with data and using it to make informed business decisions.
- Empathetic and user-focused: you care deeply about the product experience, you understand users’ motivations and frustrations, and you genuinely want to help them.
- Empathetic and employee-focused: you care deeply about the people in your team,helping them to achieve their professional goals, and enabling them to do the best work of their lives.
- Be psyched to push the boundaries of what an Android app can do
- Be comfortable digging around in Android source code
- Be an independent self-starter seeking innovation
- Like to ship fantastic products
- Have really good taste, considering form not just function.
- Be able to show published Android applications
- 4+ years of android experience
Big plus if you're experienced:
- In design and development of SDKs in Android
- Experience with messaging apps
- Experience with audio and video processing
- Working knowledge of Exoplayer
- Experience with NLP
- C/C++ and/or OpenGL
Skills
Dagger 2, Rxjava, Java, design patterns, software testing
at Societe Generale Global Solution Centre
• Excellent understanding of machine learning techniques and algorithms, such as SVM, Decision Forests, k-NN, Naive Bayes etc.
• Experience in selecting features, building and optimizing classifiers using machine learning techniques.
• Prior experience with data visualization tools, such as D3.js, GGplot, etc..
• Good knowledge on statistics skills, such as distributions, statistical testing, regression, etc..
• Adequate presentation and communication skills to explain results and methodologies to non-technical stakeholders.
• Basic understanding of the banking industry is value add
Develop, process, cleanse and enhance data collection procedures from multiple data sources.
• Conduct & deliver experiments and proof of concepts to validate business ideas and potential value.
• Test, troubleshoot and enhance the developed models in a distributed environments to improve it's accuracy.
• Work closely with product teams to implement algorithms with Python and/or R.
• Design and implement scalable predictive models, classifiers leveraging machine learning, data regression.
• Facilitate integration with enterprise applications using APIs to enrich implementations
Facilitation and Business Analysis skills.
Estimation and Project Planning skills for enterprise level applications.
Excellent communication and technical leadership skills.