AI Solution Engineer

Job description

**About Hevo:** At Hevo, we are changing the way companies leverage data to drive user experience, growth, and business processes. There has been a fundamental change in the amount of data companies are generating on a day-to-day basis. More and more users in an organization are now looking to use data to drive business decisions. Data is no longer a second-class citizen and companies are seeing data as a competitive advantage. We see this change and we are on a mission to change the way companies leverage their data. With a technology platform processing more than 100 billion records a month and doubling itself every 6 months, Hevo is poised for exponential growth in the coming future. This position provides a unique opportunity to create a massive impact on all existing and future customers of Hevo through technology innovation. If you are the one who is looking to take a leap of faith and work on the technology of the future, if you obsess over customer satisfaction and experience then we are looking for you. **Role Summary** The AI Solutions Engineer will prototype, test, and deliver internal AI applications that improve efficiency across GTM teams (Marketing, Sales, BizOps). The role combines applied AI/ML knowledge, software engineering skills, and a strong understanding of GTM workflows to deliver practical, business-impacting solutions. ### Key Responsibilities - **AI Application Development** - Build internal applications using LLMs and AI APIs (e.g., OpenAI, Anthropic). - Integrate AI into GTM tools like HubSpot, Salesforce, LinkedIn, Outreach, Google Sheets, etc. - Develop scripts and automations for data enrichment, copy assistance, and reporting. - **Prototyping & Experimentation** - Rapidly test new AI models and APIs, validate feasibility, and create MVPs. - Evaluate and document performance, accuracy, and usability for GTM use cases. - **Cross-functional Collaboration** - Work closely with Marketing, Sales, and BizOps teams to capture pain points and translate them into AI-driven solutions. - Provide demos, documentation, and training to internal users. - **Operational Support** - Maintain and optimize deployed tools. - Ensure compliance, data privacy, and reliability in AI-driven workflows. ### What Success Looks Like - You’ve delivered **2–3 working AI prototypes** that GTM teams actively use. - You’ve automated or optimized at least **2 GTM workflows**, saving time and improving accuracy. - You’ve documented solutions in a way that makes them scalable and transferable. - You’ve demonstrated measurable **impact on GTM productivity** (hours saved, efficiency gains, improved decision-making). ### What We’re Looking For - **Knowledge & Skills:** - Strong understanding of **AI/ML fundamentals** (NLP, LLMs, embeddings, prompt engineering). - Proficiency in **Python** and working with APIs (REST/GraphQL). - Experience with **prototyping tools/frameworks** (Flask, FastAPI, Streamlit, or similar). - Familiarity with **GTM systems** such as Salesforce, HubSpot, Marketo, or BI tools (Tableau, Looker). - Strong problem-solving skills and ability to rapidly prototype creative solutions. - Upto 5 years of experience in building end-to-end applications - **Abilities:** - Translate messy GTM data into usable inputs for AI models. - Map AI outputs into real-world GTM workflows and processes. - Communicate technical solutions clearly to non-technical stakeholders. - Balance speed of experimentation with reliability and compliance. ### Why Join Us? - Work on **cutting-edge AI applications** in a high-growth SaaS company. - Be part of the **GTM innovation function**, directly impacting Marketing, Sales, and BizOps productivity. - Gain exposure to real-world AI use cases that scale with thousands of customers. - Collaborate with **cross-functional teams** and own end-to-end AI solutions from idea to deployment.