1 year ago
Bengaluru, IndiaMid Level
Responsibilities
- Build internal AI applications using LLMs and AI APIs such as OpenAI and Anthropic.
- Integrate AI solutions with GTM tools including HubSpot, Salesforce, LinkedIn, Outreach, and Google Sheets.
- Develop scripts and automations for data enrichment, copy assistance, and reporting.
- Rapidly prototype and evaluate AI models and APIs, documenting performance, accuracy, usability, and feasibility.
- Collaborate with Marketing, Sales, and BizOps to translate workflow pain points into AI-driven solutions.
- Provide demos, documentation, and training to internal users.
- Maintain and optimize deployed tools while ensuring reliability, compliance, and data privacy.
- Deliver working AI prototypes, automate GTM workflows, and demonstrate measurable productivity improvements.
Requirements
- Strong understanding of AI/ML fundamentals, including NLP, LLMs, embeddings, and prompt engineering.
- Proficiency in Python and experience working with REST or GraphQL APIs.
- Experience with prototyping tools or frameworks such as Flask, FastAPI, and Streamlit.
- Familiarity with GTM systems such as Salesforce, HubSpot, and Marketo, or BI tools such as Tableau and Looker.
- Ability to translate messy GTM data into usable AI inputs and map AI outputs into operational workflows.
- Strong problem-solving, communication, and rapid-prototyping abilities.
- Up to 5 years of experience building end-to-end applications.
Benefits
- Work on cutting-edge AI applications at a high-growth SaaS company.
- Join the GTM innovation function and directly impact Marketing, Sales, and BizOps productivity.
- Gain exposure to real-world AI use cases that scale with thousands of customers.
- Collaborate cross-functionally and own AI solutions from idea through deployment.
Tech Stack
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