Product Manager
2 months ago
At Algonomy, we believe the future of our economy is Algorithmic, where businesses will develop resilient, adaptive and agile decisioning abilities that will constantly test and refine AI-driven actions to create the best personal experience for every individual customer at scale.We aim to become the algorithmic bridge between consumers and brands/retailers, and to lead our customers through the Algorithmic transformation imperative. The name Algonomy signifies an expertise in algorithms. As technology evolves our lives (and our clients’) at hyper-speed, Algonomy stands as a bold, creative and agile brand; and these are also the very qualities that every digital-first business needs in order to be successful in the new normal. We are ambitious, we create category leading solutions in our markets, and we are constantly learning, inventing and adapting to stay ahead of our industry’s needs
PRIMARY RESPONSIBILITIES
· Core Member of Product Management team for Algonomy’s World leading (200+ customers in over 40 countries; highly rated by Gartner/Forrester etc) portfolio of full stack Customer Data Platform (CDP) / Customer Marketing Platform (CMP) / Customer Experience Platform (CXP) products· Drive product vision and execution for our data platform, marketing automation and marketing personalization solutions. Ensure Algonomy’s leadership in the rapidly evolving space of digital marketing.· Own the product road map and release cycles. Engage closely with PM peers, Engineering Team and UX team to deliver the roadmap via scrum/sprint framework using well written user stories and clear backlog prioritization etc.· Collaborate with Sales & Pre-sales to drive product value proposition & demonstrations. Ability to engage with customer executive teams, marketing and technology teams.· Work closely with Customer Success, Product Implementation and Marketing services to drive adoption and value for customers· Assimilate market, customer and competitive intelligence to develop product strategy, PRDs, functional specifications and GTM plans· Work with the Executive Team, Engineering, Professional Services, Customer Success, Sales and Marketing teams to drive the Digital Marketing portfolio’s overall strategy, competitive positioning, messaging, pricing, revenue and profitability goals
REQUIREMENTS
10+ years of relevant experience in the technology industry with mandatory at least 3+ years as a Product Manager for a leading technology product company in the enterprise/B2B software segmentIdeal PM experience includes, but is not limited to – multi-channel marketing automation, CPaaS Platforms, personalization, customer data platforms, marketing or customer analytics.Must be conversant and have experience working with APIs, ETL, Databases/Warehouse/NoSQLMust understand fundamentals of data management, real-time solutions and cloud technologiesShould have experience in Agile product developmentHaving familiarity with AI/ML with experience working with data science & data engineering teams will be a bonus.Strong interpersonal, collaboration and presentation skillsShould be able to build rapport with diverse team members and drive consensus and decision making at speed
About Company:Algonomy (previously Manthan-RichRelevance) is a global leader in algorithmic customer engagement powering digital first strategies for retailers and brands. With industry-leading retail expertise in connecting demand to supply with a real-time customer data platform as the foundation, Algonomy enables 1:1 omnichannel personalization, customer journey orchestration and customer analytics with Xen AI at its core.Globally, over 400 retail brands such as HP, L’oreal, Tiffany & Co, Aldi, McDonalds, Zalora and Pizza Hut use Algonomy’s made-for-retail solutions to orchestrate hyper-personalized customer engagement and optimize their merchandising and supplier management. Algonomy, which stands for “systematized knowledge of algorithms”, provides rapid time to value across acquisition, conversion, growth and loyalty with its 300+ pre-built algorithms.
Headquartered in San Francisco and Bangalore, our presence spans over 20 countries. To learn more, please visit
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