Marketing at DataWeave Marketing at DataWeave operates at the intersection of brand storytelling, product positioning, and performance-driven execution. We cater to global marketsincluding the United States, Europe, India, and the Middle Eastengaging diverse audiences across retail, eCommerce, and consumer brands. Our focus is on building a compelling brand presence, crafting impactful messaging, and driving thought leadership through content and strategic partnerships. We are looking for a Marketing Manager, Brand & Communications to lead external brand-building efforts through analyst relations, media partnerships, influencer engagement, and strategic content distribution. This role is about ensuring DataWeave is a recognized and trusted name in competitive intelligence and digital commerce analytics. This is an opportunity to drive high-impact initiatives that shape how DataWeave is perceived in the market, positioning us as an industry leader through strategic messaging, content distribution, and partnerships. Key Responsibilities Brand Awareness & Thought Leadership Build and execute a brand awareness strategy that positions DataWeave as a leading authority in AI-powered competitive intelligence and digital shelf analytics. Identify and engage with industry analysts, media outlets, influencers, and strategic partners to amplify DataWeaves presence. Develop and execute co-marketing initiatives with analysts, publications, and industry groups to enhance brand credibility. Monitor industry trends and proactively shape conversations that align with DataWeaves expertise. Analyst & Media Relations Own and manage relationships with industry analysts (Gartner, Forrester, IDC, etc.), ensuring DataWeave is well-positioned in key reports and industry evaluations. Work with leadership to create thought leadership opportunities, including bylined articles, media interviews, and industry commentary on vertical-specific media publications. Own the press release calendar, working closely with leadership to ensure timely and impactful announcements. Identify key speaking opportunities and thought leadership events where DataWeave’s experts can participate. Oversee podcast collaborations and influencer partnerships to further expand brand awareness. Website & Messaging Work with internal teams to refine brand messaging and ensure alignment across external communications and website positioning. Collaborate with product marketing to update and maintain key product and solution pages, ensuring clarity and market relevance. Partner Marketing & Events Support joint marketing efforts with partners, including co-branded events, webinars, and panel discussions. Ensure consistency in messaging, visual branding, and positioning across all partner marketing materials. Oversee brand presence at key industry events, securing speaking engagements and media coverage. Requirements 7-12 years of experience in brand marketing, content marketing, or corporate communications within a B2B SaaS environment. Bachelor’s or Master’s degree in Marketing, Communications, Journalism, Business, or a related field. Strong background in content strategy, PR, and media relations, with proven experience securing industry coverage. Exceptional storytelling skills—able to translate complex technology into engaging, business-driven narratives. Experience working with analyst firms, influencers, and media outlets to drive thought leadership. Hands-on experience managing press releases, content distribution, and digital campaigns. Knowledge of website strategy and content performance analytics. Experience in partner marketing and co-marketing initiatives is a plus. Ability to thrive in a fast-paced, data-driven SaaS startup environment. Based in Bengaluru and willing to work from the office at least three days per week.
DataWeave is a cutting-edge AI-powered digital commerce analytics platform that empowers retailers with competitive intelligence and equips consumer brands with digital shelf analytics on a global scale. By harnessing the power of DataWeave, retailers gain the ability to make smarter pricing and merchandising decisions, while consumer brands can optimize their digital shelf performance across key performance indicators such as share of search, content quality, price competitiveness, and stock availability. At the heart of DataWeave's capabilities lies its state-of-the-art AI-powered proprietary technology, which aggregates and analyzes 500+ billion data points, covering over 400,000 brands, 4,000+ websites, and spanning more than 20 industry verticals. We are a globally distributed team, composed of over 200 talented engineers, product managers, and eCommerce experts located across San Francisco, Seattle, Austin, and Toronto in North America, complemented by our technology-focused offices in Bangalore and Coimbatore. Data Engineering and Delivery @DataWeave We the Delivery / Data engineering team at DataWeave, deliver the Intelligence with actionable data to the customer. One part of the work is to write effective crawler bots to collect data over the web, which calls for reverse engineering and writing scalable python code. Other part of the job is to crunch data with our big data stack / pipeline. Underpinnings are Tooling, domain awareness, fast paced delivery, and pushing the envelope. How we work? It's hard to tell what we love more, problems or solutions! Every day, we choose to address some of the hardest data problems that there are. We are in the business of making sense of messy public data on the web. At serious scale! Read more on Become a DataWeaver What do we offer? Some of the most challenging data problems. Huge text and image datasets that you can play with! Ability to see the impact of your work and the value you're adding to our customers almost immediately. Opportunity to work on different problems and explore a wide variety of tools to figure out what really excites you. A culture of openness. Fun work environment. A flat hierarchy. Organization wide visibility. Flexible working hours. Learning opportunities with courses and tech conferences. Mentorship from seniors in the team. Last but not the least, competitive salary packages and fast paced growth opportunities. Relevant set of skills Candidate must have good written and oral communication skills, be a fast learner and have the ability to adapt quickly to a fast-paced development environment Has a strong grasp of CS fundamentals Hands on with Python programming Good understanding of RDBMS / SQL Excellent problem-solving and analytical abilities Optional Skills Knowledge of building crawlers and data mining is a plus. Working knowledge of open-source tools such as MySQL, Solr, Elasticsearch, Cassandra (data stores) would be a plus. Role and responsibilities Inclined towards working in a start-up environment. Design and build robust and scalable data engineering solutions for structured and unstructured data for delivering business insights, reporting and analytics. Help continually improve ongoing analysis processes, optimizing or simplifying self-service support for customers Implement various bots Configure and write Regex to extract data from simple to complex websites. Develop tools & techniques related to the various processes or data extraction automation. Work on data lake platform and different components in the data lake such as Hadoop, Amazon S3 etc. Work on SQL technologies on Hadoop such as Spark, Hive, Impala etc.
About the Role We are seeking a proactive and analytical Sales & Marketing Operations Analyst to join our Revenue Operations team at DataWeave . This role is perfect for someone who enjoys collaborating with stakeholders, uncovering insights from data, and driving operational excellence. You will work closely with Sales leadership, Marketing, and cross-functional teams to manage reporting, streamline processes, and enable data-driven decision-making. Your work will directly impact lead generation, funnel conversion, and overall revenue performance, while allowing leadership to focus more on customer success initiatives. Key Responsibilities Operational Excellence & Process Management Own end-to-end reporting and analytics processes for Sales & Marketing Ops, ensuring accuracy, timeliness, and actionable insights. Identify process gaps, propose improvements, and streamline workflows to drive efficiency and conversion. Track lead management, funnel movement, and pipeline health for transparency and accountability. Data Analysis & Insights Build, automate, and maintain dashboards/reports to monitor KPIs (lead generation, funnel conversion, pipeline velocity, campaign ROI, etc.). Identify trends, outliers, and opportunities for improvement with clear recommendations. Support stakeholders in developing data-driven strategies to improve revenue outcomes. Stakeholder Engagement Serve as the go-to person for Sales & Marketing reporting needs. Collaborate closely with sales reps, marketing teams, and leadership to ensure adoption of tools and processes. Facilitate discussions, resolve data/reporting issues, and train end-users when needed. Documentation & Continuous Improvement Maintain updated documentation for recurring deliverables. Drive automation initiatives to minimize manual effort and improve accuracy. Key Traits for Success Were looking for someone who is: Extroverted & engaging comfortable initiating conversations and building rapport. Proactive & self-driven – takes ownership and spots issues before they escalate. Detail-oriented yet strategic – balances data deep-dives with big-picture thinking. Collaborative & adaptable – effective communicator across teams and levels. Curious & eager to learn – continuously seeks better ways to analyze and present data. Required Skills & Experience 1–3 years of experience in Sales Operations, Marketing Operations, or Revenue Operations. Advanced skills in Excel (Pivot Tables, Lookups, Formulas) and PowerPoint . Experience with CRM/Marketing automation tools (HubSpot, Salesforce, Marketo, etc.) preferred. Strong communication skills – able to explain complex data clearly and confidently. Proven ability to manage multiple priorities under tight deadlines. Basic understanding of B2B Sales & Marketing processes, lead generation, and pipeline management. Educational Requirements Bachelor’s degree (any discipline). MBA in Operations preferred.
About the Role: We are hiring a hands-on Technical Lead with strong expertise in distributed systems, microservices architecture, and Kubernetes . You will lead an engineering team, design scalable cloud-native platforms, and drive engineering excellence using AI-assisted development tools . Key Responsibilities: Design & implement cloud-native microservices architectures on Kubernetes (EKS / AKS) Build & optimize large-scale distributed systems ensuring high availability & fault tolerance Drive adoption of AI-powered development tools (GitHub Copilot, Tabnine, etc.) Conduct design & code reviews to ensure best practices Collaborate with product & business teams to align technical direction Lead, mentor & grow the engineering team Requirements: 6+ years experience in building and scaling distributed systems in production Strong knowledge of microservices, APIs, and event-driven systems Proven experience managing Kubernetes clusters in production Deep understanding of messaging, fault tolerance, consensus, consistency Proficient in at least two programming languages (Python, Node.js, etc.) Experience with AWS cloud infrastructure & security best practices Familiarity with Prometheus, Grafana, OpenTelemetryRole & responsibilities Preferred candidate profile
Job Responsibilities: Assist in collecting and cleaning datasets from internal and external sources to ensure accuracy and consistency. Support in building and maintaining dashboards (Tableau) to track KPIs and trends. Perform exploratory data analysis to address retail/brand-related business questions. Work with the BA team to document processes, frameworks, and methodologies for knowledge sharing. Collaborate with Product, Sales, and Customer Success teams to ensure BA outputs align with business needs. Gain exposure to real-world retail pricing, assortment, and digital shelf intelligence use cases. Develop storytelling skills by transforming data into narratives that inform leadership and customers. Mandatory Skills Strong communication skills. Business understanding/experience. Hands-on experience in data exploration and visualization (preferably Tableau or similar tools).