Role: Campaigns Manager Location: Pune Responsibilities: · Strategy Development: o Develop and implement comprehensive digital marketing strategies aligned with overall business objectives. o Conduct in-depth market research and competitor analysis to identify opportunities and optimize campaigns. o Define clear KPIs and track performance metrics to measure campaign effectiveness. o Start with Google and Meta campaigns and then progressively add performance platforms like snapchat, Amazon ads, quick commerce platforms, retail media networks and so on. · Campaign Management: o Oversee the planning, execution, and optimization of Google Ads (Search, Display, Shopping, Video) and Facebook Ads campaigns. o Manage campaign budgets, bidding strategies, and ad creatives to maximize ROI. o Utilize A/B testing and other experimentation techniques to improve campaign performance. · Audience Targeting: o Develop targeted audience segments based on demographics, interests, and behaviors. o Utilize advanced targeting options to reach the right audience at the right time. o Continuously refine targeting strategies to optimize campaign performance. · Analytics and Reporting: o Monitor key performance indicators (KPIs) and track campaign performance. o Analyze campaign data to identify trends, opportunities, and areas for improvement. o Generate insightful reports and presentations to communicate findings to stakeholders. · Team Management: o Lead and mentor a team of digital marketing specialists. o Assign tasks, provide guidance, and foster a collaborative work environment. o Develop and implement training programs to enhance team skills and knowledge. Qualifications: · Bachelor's degree in Marketing, Business, or a related field. · 4+ years of experience in digital marketing, with a strong focus on Google Ads and Facebook Ads. · In-depth knowledge of Google Ads and Facebook Ads platforms, including their latest features and best practices. · Strong analytical skills and the ability to interpret complex data. · Excellent project management and organizational skills. · Experience with Google Analytics and other digital analytics tools. · Strong communication and presentation skills. · A passion for digital marketing and a desire to stay up-to-date with industry trends. Preferred Qualifications: · Experience with other digital marketing channels, such as email marketing, SEO, and social media. · Certifications in Google Ads and Facebook Blueprint. · Experience with data-driven decision making and optimization techniques. · A strong understanding of the latest digital marketing trends and technologies. If you're a highly motivated and results-oriented individual with a passion for digital marketing, we encourage you to apply. Show more Show less

About Us Lemma Technologies is a software start-up company based in Baner Pune. We are unleashing the power of programmatic AdTech to the DOOH ( Digital out of home ) world. Our Mission is to Transform Digital Out Of Home media to connect Brands with their Consumer by Establishing Authentic and Transparent Standards. Innovation is our DNA and Transparency is our RNA We are Revolutionising the DOOH industry. As an organisation, we successfully deliver brand stories seamlessly across all large format digital screens from DOOH to CTV and even on mobile and desktop devices. We are focussed on connecting DOOH media to mainstream digital, enabling brands to deploy omni-digital strategies through our platform. Roles & Responsibilities Chief Data Scientist /Architect of Lemma Technologies. This role will be responsible to define and execute the technical strategy for adoption of modern AI / ML practices to acquire, process data and provide actional insights to Lemma customers. Good understanding of the entire journey of Data acquisition, Data warehouse, Information Architecture, Dashboard, Reports, Predictive Insights, Adoption of AI / ML and NLP and provide innovative data oriented insights for Lemma customers Deep understanding of Data science and Technology and can recommend adoption of right technical tools and strategies. Expected to be hands on technical expert who will build and guide a technical data team Build, design and implement our highly scalable, fault-tolerant, highly available big data platform to process terabytes of data and provid customers with in-depth analytics. Deep data science and AI/ML hands-on experience to give actionable insights to advertisers/ customers of Lemma Good overview of modern technology stack such as Spark, Hadoop, Kafka, HBase, Hive, Presto etc. Automate high-volume data collection and processing to provide real time data analytics. Customize Lemmas reporting and analytics platform based on customers requirements from customers and deliver scalable, production-ready solutions. Lead multiple projects to develop features for data processing and reporting platform, collaborate with product managers, cross-functional teams, other stakeholders and ensure successful delivery of projects. Leveraging a broad range of Lemmas data architecture strategies and proposing both data flows and storage solutions. Managing Hadoop map reduce and spark jobs & solving any ongoing issues with operating the cluster. Working closely with cross functional teams on improving availability and scalability of large data platform and functionality of Lemma software. Participate in Agile/Scrum processes such as sprint planning, sprint retrospective, backlog grooming, user story management, work item prioritization, etc.. Skills Required 10 to 12+ years of proven experience in designing, implementing, and delivering complex, scalable, and resilient platform and services. Experience in building AI, machine learning, Data Analytics Experience in OLAP (Snowflake, Vertica or similar) would be an added advantage. Ability to understand vague business problems and convert into working solutions. Excellent spoken and written interpersonal skills with a collaborative approach. Dedication to developing high-quality software and products. Curiosity to explore and understand data is a strong plus Deep understanding of Big-Data and distributed systems (MapReduce, Spark, Hive, Kafka, Oozie, Airflow) (ref:hirist.tech) Show more Show less