The Role

Aurbyn is a studio. Not an agency. Not a consultancy. One team covering brand, product, and growth for companies that refuse to be ordinary. We are looking for a Senior Growth Executive who can think like a strategist, execute like a practitioner, and understand our brand well enough to never embarrass it.

This is not a marketing coordinator role with a senior title. It is a revenue-building, account-opening, reputation-extending position. You will own the top of the funnel for a studio that spans brand identity, digital products, growth marketing, a SaaS platform, a VC fund, and an academy.

What You Will Own

• Client acquisition. Bring clients in through outreach, referrals, partnerships, and reputation. Not volume for its own sake. Quality accounts that belong at Aurbyn.
• Growth strategy. Define and evolve Aurbyn's own go-to-market position with the founding team. You are not executing someone else's plan. You are co-authoring it.
• Pipeline and revenue. Own the full new business cycle: identify, qualify, pitch, close. You can speak fluently about what Aurbyn delivers without overselling or underselling.
• Market presence. Build Aurbyn's credibility in Sri Lankan enterprise, hospitality, e-commerce, government-adjacent, and growth-stage startups. Be in the right rooms.
• Growth for clients. For select retained clients, lead growth strategy: channel mix, paid campaigns, SEO positioning, content architecture. You know the difference between a campaign and a system.
• Brand alignment. How you write, pitch, and follow up is part of what we are selling.

What We Are Looking For

• You think in systems, not tasks. You can trace a business problem upstream to its actual cause.
• You are comfortable saying no. To the wrong client, the wrong scope, the wrong channel.
• You have opinions about positioning and can defend them calmly, without ego, in front of a founder who disagrees.
• You understand brand at a structural level. It is the system through which a company communicates, behaves, and grows.
• You are a better writer than most people you know.

Experience

• 4 to 7 years in growth, business development, or commercial strategy. Ideally in an agency, studio, or product company.
• Track record of building relationships and closing meaningful service or product deals.
• Experience running or advising on digital growth programs: paid media, SEO, content, conversion.
• Comfort working in a small, senior team with no bureaucracy and no hand-holding.
• Familiarity with the Sri Lankan business ecosystem, with a network worth calling on.

The Role

Most companies bolt AI onto something that already exists and call it a feature. We are not doing that. Aurbyn is building intelligence into the core of how our products work, from predictive analytics inside Dashify to automation layers that make our clients' businesses measurably faster and smarter.

We are looking for an AI / ML Engineer who understands the difference between a demo and a deployed system, can take a model from experiment to production, and cares enough about the end user to ask whether the model is actually useful before asking whether the accuracy is high enough.

What You Will Own

• Product intelligence. ML-powered features in Dashify and client products: recommendations, demand forecasting, anomaly detection, automation pipelines that work under real-world conditions.
• Model development. Build, train, evaluate, iterate. Own the full lifecycle from data exploration through deployment. You define what "good enough" means and you are accountable when it is not.
• LLM integration. Practical applications of large language models for real client problems. You know when an LLM is the right tool and when it is not.
• Data infrastructure. The pipelines that feed your models. Clean data is your responsibility, not someone else's.
• Applied research. Stay close to what is actually useful and apply it selectively. You are here to extract value from research, not reproduce papers.
• Cross-functional input. Sit in product discussions and tell us what is feasible, what is not, and what nobody has thought of yet.

What We Are Looking For

• You are skeptical of your own models, and you design for the gap between evaluation and production.
• You think in outcomes, not techniques. Complexity is a cost you justify, not a signal of thoroughness.
• You can explain your model to someone who does not know what a gradient is.
• You ship. Research without deployment is a hobby.
• You are honest about uncertainty, and precise about what you know and what you do not.

Experience

• 3 to 6 years building and deploying machine learning systems in production.
• Strong Python plus practical experience with PyTorch, TensorFlow, or scikit-learn.
• Solid grounding in classical ML, deep learning, NLP, and when each is actually appropriate.
• Experience with LLM APIs (OpenAI, Anthropic, or open-source equivalents) and building around their limitations.
• Comfort with data pipelines, SQL, vector databases, and cloud ML infrastructure.