RESPONSIBILITIES:
Campaign Management:
- Develop strategies and oversee the implementation of growth marketing campaigns, including focus content marketing, SEO, SEM, social media marketing, and paid advertising
- Understand user journey from first interaction to final conversion and create campaign targeting groups and strategies based on that.
- Conduct secondary research on latest and emerging trends and use cases in adtech (business model changes, applications, tools, platforms)
- Create, track and optimize campaigns across various digital marketing platforms
- Create Hypothesis and rapidly experiment against those hypothesis to consolidate the learnings and apply back to campaigns
- Drive performance across the User Acquisition funnel by optimizing for metrics such as ROAS, CAC, LTV
- Conduct periodic cohort analysis to measure users acquisitions and retention
- Report on campaign performance and improvements
- Develop partnerships with platforms, publishers, intermediaries, affiliate to unlock growth
Client Servicing:
- Be the SPOC for the client requirements. Proactively lead client discussions
- Understand client’s marketing objectives and translate to campaigns on different Digital Advertising platforms
- Updating clients and internal teams on a regular basis about the performance of the campaigns.
QUALIFICATIONS:
- MBA from Tier 1 Business School
- Minimum of 2 years of experience in the same industry
- Experience in running app install campaigns, including tracking In-App purchases across multiple channels
- Experience working with mobile attribution/integration platforms such as AppsFlyer, Singular, Branch, Facebook Analytics, Firebase Analytics and Messaging
- Solid expertise in campaign and channel analysis and reporting, including Google Analytics experience.
- Experience of Digital ad platforms like Google, Facebook, Programmatic
- Experience driving growth in user acquisition, user retention campaigns

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Bachelor’s or Master’s Degree in Commerce, Finance, or Accounting (CA Inter or MBA Finance preferred).
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As an APAC Solutions Engineer, you will be an integral player on the Sales team in positioning, demonstrating, and developing creative solutions for key customers and prospects. You will be the trusted solutions advisor for our customers by creating solutions that align with the NextBillion.ai technology stack.
Reporting to the VP of Sales and Customer Success, you will be the primary technical interface between our sales prospects and the Product and Engineering team.
We are looking for a Maps and Locations-Based Services expert with excellent technical, communication, organisational, and customer-facing skills.
Roles and Responsibilities:
- In partnership with sales personnel, marshal prospects through the sales cycle by providing professional technical, integration, and development support.
- Work closely with our sales prospects in APAC to identify and solve their most critical business problems with a deep understanding of the NextBillion.ai architecture and feature set.
- Articulate customer requirements and solutions to different technical and non-technical stakeholders so as to enable successful execution of the engineering work.
- Organise and lead product-related webinars and training sessions.
- In coordination with sales personnel, assist in the response to all technical details in RFIs/RFPs
- Continually assess prospect and customer feedback as well as industry trends in providing feedback to product teams
- Support sales and customer success teams in onboarding newly signed customers into the post-sales support process
- A small amount of travel is required for prospect and customer meetings.
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- Bachelor's degree in Engineering, Computer Science, or related technical field.
- 6+ years experience in technical consulting, solutions engineering or product management.
- Prior experience with proprietary as well as open-source map products and tools, such as maps from HERE, TomTom and OSM, and supporting toolsets such as QGIS.
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- Experience with using cloud native services from popular hosting providers like AWS, Azure, and Google Cloud Platform.
- Understanding of common development practices, ticketing systems, and revision control systems using `git`i.e. Gitlab/Github, ClickUp/JIRA
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- Industry experience in mobility services, fleet management, logistics/last-mile delivery, and/or connected car service
- Some prior experience with data science and/or machine learning teams.
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NextBillion.ai is a first-ever decentralised, customizable, and tailored map stack focused on the transportation/logistics industry. NextBillion.ai helps solve highly complex transportation and operational challenges. Every customer, use case, and geography is different, and NextBillion.ai is able to integrate these differences directly into their mapping environment.
NextBillion.ai provides last-mile delivery, telematics, food delivery, automotive, and ride-hail with location tools and API's that help them adopt an AI-first approach. NextBillion.ai is customizable to be hyper-local and pinpoint accurate for difficult to solve enterprise use cases.
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Required skill
- Around 6- 8.5 years of experience and around 4+ years in AI / Machine learning space
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- Strong experience in Python and Java is required.
- Hands on experience on Scikit-learn, Pandas, NLTK
- Experience in Handling of Timeseries data and associated techniques like Prophet, LSTM
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- Experience in AutoML like TPOT or other
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- Productionize System and Maintain those
- Lead and implement data acquisition process for ML work
- Learn new methods and model quickly and utilize those in solving use cases
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- Understand Technical requirement of customer, Making presentation to client
- Developing Sales Projection Plan
- Good Knowledge of Upwork Linkedin and other bidding portals to get the new prospects and close the deals
- Candidate should have good experience in End to End Sales i.e. from lead Generation to closure of prospects
- Candidate must have sound technical knowledge of Android, iOS and Web Application, latest trends in mobile & Web technology
- Candidates should have exp in reaching out to B2B and B2C prospects.
- Candidates should have excellent communication skills, good selling attitude, and be result oriented.
- Candidates should be self motivated to achieve the sales target.








