Key Responsibilities: Product Positioning & Messaging: Develop clear, compelling product positioning and messaging that resonates with target audiences and differentiates our products from competitors. Define key product features and benefits, ensuring consistent communication across all marketing channels. Create and refine messaging frameworks for new and existing products based on market research, customer feedback, and competitive analysis. Go-to-Market Strategy: Lead the development and execution of go-to-market (GTM) strategies for product launches and updates. Work closely with product, sales, and marketing teams to align launch strategies, timelines, and promotional activities. Coordinate product releases, ensuring all relevant materials, channels, and campaigns are in place to maximize product visibility and adoption.
Company Overview Lifesight is a fast growing SaaS company focused on helping businesses leverage data & AI to improve customer acquisition and retention. We have a team of 130 serving 300+ customers across 5 offices in the US, Singapore, India, Australia and the UK. Our mission is to make it easy for non-technical marketers to leverage advanced data activation and marketing measurement tools that are powered by AI, to improve their performance and achieve their KPIs. Our product is being adopted rapidly globally and we need the best people onboard the team to accelerate our growth. Position Overview The ideal candidate is a self-motivated, self managed and multi-tasker, and demonstrated team-player. You will be a lead developer responsible for the development of new software products and working on improving numerous non-functional requirements of the products as well. If youre looking to be a part of a dynamic, highly-analytical team and an opportunity to hone your java, cloud engineering and distributed system skills, look no further. As our Senior Software Engineer for the platform team, you will be handed the reins to build the core microservices. Along with building services to query billions of rows in Googles BigQuery, you will be in charge of building scalable APIs to build user segments and evolve architecture to send millions of notifications through varied streams like Email, SMS, in-app notifications per day. What youll do: Be responsible for the overall development of the modules/services that you will be working on Code, design, prototype, perform reviews and consult in the process of building highly scalable, reliable, and fault-tolerant systems. As our senior software engineer continuously refactor applications and architectures to maintain high-quality levels Continue to stay abreast of the latest technologies in distributed systems, caching and research new technologies, tools that enable building the next generation systems Act as an engineer that enjoys writing readable, concise, reusable, extensible code every day Discuss, articulate requirements with product management and scope, execute the feature road map Participate in teams hiring process by being a panelist in interviews Requirements What youll need: Ideally 7+ years of hands-on experience in designing, developing, testing, and deploying large scale applications, microservices in any language or stack (preferably java, Springboot) Good knowledge in one or more of these areas: Cloud, NoSQL stores; we use Google Cloud, Kubernetes, BigQuery, messaging systems Excellent attitude and passion working in a team with willingness to learn Experience in building low latency, high volume REST API requests handling Experience in working in distributed caches like Redis Ability to Get Stuff Done ! Bonus Points If you have.. Experience in containerization technologies like Docker, Kubernetes Experience working in any cloud platforms (preferably GCP) Experience in NoSQL stores (like Cassandra, Clickhouse, BigQuery) Benefits What is in it for the candidate : As a team, we are concerned with not only the growth of the company, but each other’s personal growth and well being too. Along with our desire to utilize smart technology and innovative engineering strategies to make people’s lives easier, our team also bonds over our shared love for all kinds of tea, movies & fun filled Friday’s events with a prioritizing healthy work-life balance. 1. Working for one of the fastest growing and successful MarTech companies in times 2. Opportunity to be part of an early member of the core team to build a product from scratch starting from making tech stack choices, driving and influencing the way to simplify building complex products. 3. Enjoy working in small teams and a non bureaucratic environment 4. Enjoy an environment that provides high levels of empowerment and space to achieve your Objectives and grow with organization. 5. Work in a highly profitable and growing organization, with opportunities to accelerate and shape your career 6. Great benefits - apart from competitive compensation & benefits 7. Above all - a “fun” working environment.
Job Description Company Overview Lifesight is a fast-growing SaaS company focused on helping marketers leverage their own data & advanced AI to improve marketing decision making. Our mission is to make it easy for non-technical marketers to navigate the privacy-first era with a modern and unified marketing measurement platform that is designed to drive incremental impact, optimize spend and achieve their business goals. We have a team of 130 serving 300+ customers across 5 offices in the US, Singapore, India, Australia, and the UK. We are a profitable company and our product is being adopted rapidly globally and we need the best people onboard the team to accelerate our growth. Position Overview We are looking for a seasoned professional with deep experience in the marketing measurement industry to join and lead our marketing science team. The marketing science team at Lifesight sits in the intersection of customer success, sales and marketing. In this role, you will be responsible for managing our marketing science team and its initiatives. You will be responsible for driving revenue by closing deals and ensuring that our customers' needs are met. You will also be responsible for evangelizing our platform in the market through online and offline activities in order to drive demand and build trust. You will get the unique opportunity to work on growing a trending AI-powered measurement platform, in a massive industry and get to truly drive its adoption & success. What Youll Do Manage a team of marketing scientists who assist in solving our customer measurement needs using Marketing Mix Modeling, universal attribution, incrementality testing and causal inference. Evangelize our UMM platform, articulating its value proposition to a diverse range of brands across multiple industries. Own and achieve a revenue target for the US market driven through strategic initiatives that you set up. Study and understand the customers business goals and KPIs to offer expert recommendations and actionable insights to achieve them using our platform. Manage the portfolio of customer accounts, communications and engagement with the support of our team of customer success and support executives, to ensure customer satisfaction. Craft compelling thought leadership content for social media and other channels to engage potential clients and industry leaders. Oversee custom consulting and professional services work for customers who require them. Contribute to our product roadmap and feature development alongside our product, data science and engineering team. Identify and stay ahead of industry trends, track competitor movements and find differentiators to continuously improve our offering and solutions. Work closely with global sales and marketing to ensure alignment and cohesiveness in go-to-market strategies. Train and coach new marketing scientists and other team members to enable career growth and skill development. Requirements You are perfect for the role if you: Bachelors degree or above in Business Management, BI/Analytics, Economics, Statistics, Mathematics and/or Marketing 6+ years experience with strong foundation in data science and/or marketing science, with significant experience in business analytics, marketing analytics, attribution modeling, marketing mix modeling, experimentation projects. Highly accomplished analytical professional with strong problem solving skills and great attention to detail. Proven track record of working with mid-market and enterprise brands across industries. Proven track record of managing teams and delivering results for customers. Excellent project management and account management capabilities, with exceptional customer communication and servicing skills Exceptional ability to communicate complex data science concepts in simple terms. Skilled in developing strategies that drive revenue and market share. Experienced in leveraging social media platforms for brand promotion and thought leadership. Ability to collaborate effectively with diverse global teams. Benefits Whats in it for you? As a team, we are concerned with not only the growth of the company but each others personal growth and well-being too. Along with our desire to utilize smart technology and innovative engineering strategies to make peoples lives easier, our team also bonds over our shared love for all kinds of tea, movies & fun-filled Friday events with a prioritizing healthy work-life balance. 1. Working for one of the fastest-growing and successful MarTech companies in times 2. Opportunity to be part of an early member of the core team to build a product from scratch starting from making tech stack choices, driving and influencing the way to simplify building complex products. 3. Enjoy working in small teams and a non-bureaucratic environment 4. Enjoy an environment that provides high levels of empowerment and space to achieve your objectives and growth with the organization. 6. Work in a highly profitable and growing organization, with opportunities to accelerate and shape your career. 7. Great benefits - apart from competitive compensation & benefits
Lifesight is a fast-growing SaaS company focused on helping businesses leverage data & AI to improve customer acquisition and retention. We have a team of 130 serving 300+ customers across 5 offices in the US, Singapore, India, Australia, and the UK. Our mission is to make it easy for non-technical marketers to leverage advanced data activation and marketing measurement tools that are powered by AI, to improve their performance and achieve their KPIs. Our product is being adopted rapidly globally and we need the best people onboard the team to accelerate our growth. Dealing with Petabytes of data and more than 400TB+ daily data processing to power attribution and measurement platforms of Lifesight, building scalable, highly available, fault-tolerant, big data platforms is critical for our success. From your first day at Lifesight, you'll make a valuable - and valued - contribution. We offer you the opportunity to delight customers around the world while gaining meaningful experience across a variety of disciplines. About The Role Lifesight is growing rapidly and seeking a strong Data Engineer to be a key member of the Data and Business Intelligence organization with a focus on deep data engineering projects. You will be joining as one of the few initial data engineers as part of the data platform team in our Bengaluru office. You will have an opportunity to help define our technical strategy and data engineering team culture in India. You will design and build data platforms and services while managing our data infrastructure in cloud environments that fuels strategic business decisions across Lifesight products. A successful candidate will be a self-starter, who drives excellence, is ready to jump into a variety of big data technologies & frameworks, and is able to coordinate and collaborate with other engineers, as well as mentor other engineers in the team. What You'll Be Doing Build quality data solutions and refine existing diverse datasets to simplified models encouraging self-service Build data pipelines that optimize on data quality and are resilient to poor quality data sources Low-level systems debugging, performance measurement & optimization on large production clusters Maintain and support existing platforms and evolve to newer technology stacks and architectures We're excited if you have 3+ years of professional experience as a data or software engineer Proficiency in Python and pyspark Deep understanding of Apache Spark, Spark tuning, creating RDDs, and building data frames. Create Java/ Scala Spark jobs for data transformation and aggregation. Experience in big data technologies like HDFS, Hive, Kafka, Spark, Airflow, Presto, etc. Experience working with various file formats like Parquet, Avro, etc for large volumes of data Experience with one or more NoSQL databases Experience with AWS, GCP Please submit your details here, if you are interested - https://forms.gle/rgzn7cdVcd2HnQQE7