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Deviniti is hiring a full-time remote Product Marketing Manager to focus on the marketing of Atlassian applications. The role requires a strategic thinker who can effectively communicate complex technical features and craft compelling product narratives while employing data-driven insights. Responsibilities include developing Go-to-Market strategies, conducting market research, producing various marketing collateral, running product launches and campaigns, and creating sales enablement tools. Candidates should have over 5 years of B2B SaaS product marketing experience, excellent English skills, and proficiency in marketing analytics, with a preference for knowledge of Atlassian products. The company promotes employee well-being, continuous skill development, and encourages collaboration and feedback, alongside supporting charitable initiatives through their CSR program.

Deviniti is seeking a full-time Product Marketing Manager to join their remote team, which focuses on marketing Atlassian applications. The role requires strategic thinking and the ability to articulate complex technical features into engaging messages, while also developing Go-to-Market strategies and collaborating with cross-functional teams. Key responsibilities include conducting market research, producing various marketing collateral, driving product launches, and creating sales enablement tools. Candidates are expected to have over five years of B2B SaaS marketing experience, particularly related to Atlassian products, along with strong analytical and communication skills. Deviniti values employee well-being and offers training opportunities, flexible work arrangements, and a commitment to social responsibility through their CSR program.

Deviniti is seeking a Python Developer (AI/genAI) to join their remote team, which consists of 12 members working on advanced AI tools to enhance business operations. Candidates should have a strong background in programming, particularly with LLM/SLM models and advanced proficiency in Python, along with experience in Docker, FastAPI, and database management. The role involves developing scalable machine learning solutions, collaborating with cross-functional teams, and creating technical documentation. The company emphasizes employee wellbeing, continuous skill development, and a culture of feedback, while providing flexibility in working hours and environment. Interested applicants can expect a four-stage recruitment process, with guidance provided along the way.