Note: Immediate joiners preferred. About Omnibound: Omnibound is building the AI workspace for B2B marketers . We help CMOs and their teams scale campaigns, programs, and experiments faster by acting as an agentic co-pilot across the marketing org — from product and content marketing to demand gen and partner teams. Alongside our product, we’re launching a community for AI-first B2B marketers — a space to learn, share, and grow together. Role: We’re looking for a hands-on Community Manager to set up and grow our B2B marketing community from the ground up. This is a builder role — you’ll experiment with platforms, recruit founding members, create engaging content, and keep the energy alive in the community. What you'll do: Set Up & Manage Community Tools Choose and implement the right platform (Slack, Circle, Discord, etc.). Build onboarding flows, member guidelines, and engagement basics. Track activity and share insights with the team. Start & Grow the Community Recruit early members (CMOs, VPs, and marketing practitioners). Reach out to prospects and partners to bring them in. Test growth loops (referrals, invites, and cross-promotion). 👉 This will be your key focus initially. Create & Curate Content Draft posts, prompts, polls, and discussion starters. Share AI-in-marketing resources, news, and best practices. Highlight member contributions and spark conversations. Drive Engagement Host virtual sessions (AMAs, roundtables, Q&As). Facilitate peer-to-peer conversations and networking. Be responsive and visible — the face of the community day to day. What you will bring: 2–4 years of experience in community building, social media, or marketing programs. Proven ability to start a community from scratch for B2B industry. Must have hands-on experience building or running B2B software-related communities , not B2C. Experience managing global communities , particularly with members based in the US, Canada, or UK. Familiarity with platforms like Slack, Discord, or Circle. Comfort creating short-form content and sparking meaningful discussions. Strong organizational skills and the ability to juggle multiple tasks. Curiosity about AI and passion for the future of B2B marketing. A self-starter mindset — ready to test, learn, and adapt quickly. Flexibility to work in the European shift (2 PM – 11 PM IST). Why join us: Build a thriving B2B marketing community from zero to impact. Work closely with a fast-moving founding team shaping the future of AI in marketing. Engage directly with senior marketers and industry leaders experimenting with AI. “We’d love to connect if you meet the criteria above and are excited to shape the future of enterprise success with agentic AI.”
Please Note : ➡️ Only candidates who are immediate joiners (0–7 days) will be considered ➡️ This also includes for those who are already serving notice period , as long as they are available to join within 10-15 days. ➡️ If you do not have hands-on experience with building AI software, please do not apply About us: Omnibound (https://www.omnibound.ai/ ) is building the AI-based operating system for modern B2B marketing teams. We help CMOs and their teams scale campaigns, programs, and experiments faster by acting as an agentic co-pilot across the marketing org — from product and content marketing to demand gen and partner teams. We’re early but growing quickly, backed by experienced operators and angels who’ve built category-defining products. Job role: We’re seeking a skilled Backend AI Developer with a strong foundation in Python and hands-on experience in backend frameworks— Django REST Framework (preferred), along with FastAPI or Flask. The role involves contributing to the architecture and supporting the initial launch of our product. This person should have deep technical experience in building SaaS and AI software applications from scratch that can scale to a large number of users and is a self-starter who likes to experiment. Requirements: Must be proficient in Python and Django rest framework with at least 2 years of real-world experience Must have hands-on experience with building RAG systems – from reading unstructured files to chunking, vectorizing, retrieving, and evaluating Must have experience building AI agents and using frameworks like Lang Chain , Lang Graph, Crew AI (preferred), or similar Must have experience with Vector databases like Pinecone, Weaviate , or Chroma DB Experience with MySQL databases like PostgreSQL or similar. NoSQL database like MongoDB or similar. Potential experience with machine learning algorithms and deep learning frameworks like TensorFlow and PyTorch Experience working with LLMs like GPT-4, Claude, Llama , and Gemini Experience in working with large datasets and data preprocessing techniques Familiarity with agile web development , version control systems , and coding copilots Strong problem-solving skills and a self-starter, entrepreneurial attitude Good English communication skills to work in an international environment 👉 How to Apply : Submit your resume only if you meet the experience criteria and are available to join immediately.