--- title: 'AI Solution Engineer at Hevo Data' canonical: 'https://feeny.ai/job/ai-solution-engineer-hevo-data-bengaluru-v87wqbyy7g5s' type: 'job' last_seen: '2026-09-14' --- # AI Solution Engineer at Hevo Data - **Company:** Hevo Data - **Location:** Bengaluru, India - **Employment:** full-time - **Work type:** onsite - **Posted:** 2025-09-05 - **Last confirmed live:** 2026-09-14 - **Apply:** https://jobs.lever.co/hevodata/a7f26742-f965-4a59-840d-f7afa0a28176 ## 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. ## About Hevo Data ## Company Overview - **One-liner**: Hevo Data provides an automated, no-code data pipeline platform that enables companies to ingest, transform, and load data from 150+ sources into any data warehouse or destination. - **Entity Type**: Private (Series B, raised $43M total) - **Headquarters**: San Francisco, California, United States (with major offices in Bengaluru and Pune, India) - **Founded**: 2017 - **Founders**: Manish Jethani (Co-Founder & CEO) ## Core Business - **Primary industry**: Data Infrastructure / ETL (Extract, Transform, Load) / Data Integration - **Target customers**: B2B – mid-market and enterprise companies that need to unify data from multiple SaaS, database, and file storage sources for analytics. - **Mission or purpose statement**: “Build Data Platform for Data-Driven People” – helping companies access, model, and consume petabytes of data in real-time. ## Products & Services - **[Hevo Data Platform](https://hevodata.com)**: A fully managed, no-code data pipeline service that supports 150+ pre-built connectors, real-time CDC (Change Data Capture), schema drift handling, and dbt-based transformations. Available as a SaaS platform. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed - **Key Metric**: Annual Revenue – **$46.9M** (2024, per Latka); conflicting estimate of $5M (LinkedIn, likely outdated). **Total Funding**: $43M across 4 rounds (Seed in 2017, Seed in 2019, Series A in 2020, Series B in 2021). - **Notable Investors/Partners**: Sequoia Capital India (led $30M Series B), with additional investors from earlier rounds. Recognized as a partner by Snowflake and Google Cloud. - **Growth Signals**: - Processes **1PB+ data monthly**; trusted by **2,000+ companies** worldwide. - Headcount: ~182 (LinkedIn, 2026) vs ~242 (Latka, 2026) – conflicting reports, but indicates a lean team. - Expanding into new geographies (San Francisco, Bengaluru, Pune, Singapore, Germany) and building new products. - Revenue grew from $31.2M (2023) to $46.9M (2024) per Latka. ## Competitive Advantages - **Zero-code, zero-maintenance**: Set up pipelines in minutes without engineering overhead; automatically handles schema drifts, API changes, and record failures. - **Scalability**: Handles massive data volumes (10x+ growth) without infrastructure changes, with high-throughput CDC replication. - **150+ pre-built connectors** and custom connector development service. - **End-to-end ELT** – combines extraction, loading, and dbt-based modeling in one platform with full pipeline observability. ## Strategic Focus - Continue building “Data Infrastructure as a Service” for hundreds of thousands of companies. - Invest in new product lines, geographic expansion, and open-source contributions. - CEO describes the company as “only 2% done,” emphasizing a long‑term growth trajectory. ## Why Work Here - **Culture**: Data‑driven, engineering‑heavy, with a “day one” mentality. Strong commitment to open‑source (engineers encouraged to open‑source components). - **Work policy**: Hybrid/office‑based – roles in San Francisco, Bengaluru, and Pune are listed as on‑site; some “Worldwide” remote options may exist but are not common. - **Notable perks**: Competitive salaries (e.g., Senior Software Engineer ~INR 4.1M/year), strong employer rating (4.1/5 on LinkedIn) with high marks for compensation (4.2) and career growth (4.1). - **Engineering culture**: Focus on low‑level data infrastructure, real‑time pipelines, and building scalable systems. Alumni have moved to top tech companies (Google, Confluent, Adobe, Fivetran). ## Sources 1. [hevodata.com](https://hevodata.com) 2. [jobs.lever.co/hevodata](https://jobs.lever.co/hevodata) 3. [linkedin.com/company/hevodata](https://www.linkedin.com/company/hevodata) 4. [getlatka.com/companies/hevo-data](https://getlatka.com/companies/hevo-data) ## Other roles at Hevo Data - [Associate Director - Technical Account Management](https://feeny.ai/job/associate-director-technical-account-management-hevo-data-pune-5q6d38aqfgmg) — Pune, India - [Technical Account Manager](https://feeny.ai/job/technical-account-manager-hevo-data-bengaluru-t0446cts4q77) — Bengaluru, India - [Technical Lead Manager](https://feeny.ai/job/technical-lead-manager-hevo-data-bengaluru-f56p7v1wqytq) — Bengaluru, India - [Associate Director - Technical Account Management](https://feeny.ai/job/associate-director-technical-account-management-hevo-data-bengaluru-f61ka32cv43r) — Bengaluru, India - [Tech Lead](https://feeny.ai/job/tech-lead-hevo-data-bengaluru-7pzgbre15rrm) — Bengaluru, India - [Event Marketing Specialist](https://feeny.ai/job/event-marketing-specialist-hevo-data-bengaluru-4j9nb9dw1mdb) — Bengaluru, India - [Sales Manager - US](https://feeny.ai/job/sales-manager-us-hevo-data-bengaluru-vnmr0gag200d) — Bengaluru, India - [Senior Fullstack Engineer - Marketing](https://feeny.ai/job/senior-fullstack-engineer-marketing-hevo-data-bengaluru-jy4nd17zw6v8) — Bengaluru, India - [Senior Product Designer](https://feeny.ai/job/senior-product-designer-hevo-data-bengaluru-tt649kfd9shf) — Bengaluru, India - [Solution Engineer (Post-sales)](https://feeny.ai/job/solution-engineer-post-sales-hevo-data-bengaluru-2hw3fvjccp6w) — Bengaluru, India