Job Opportunities API

Join phData , a remote-first data and AI consultancy company with employees across the United States, Latin America, and India. We partner with industry leaders, including Snowflake, AWS, Anthropic, Azure, GCP, Fivetran, Pinecone, Glean, and dbt, to solve the complex data and AI challenges that slow large enterprises. We're growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results. Why phData? Snowflake Implementation Partner of the Year — 7 consecutive years , and 2026 Snowflake AI Partner of the Year AWS Premier Tier Services Partner — the highest tier of recognition in the AWS Partner Network 2025 Fivetran Partner of the Year (4th consecutive year) 2025 dbt Labs Partner of the Year (3x winner) with Visionary partner status 2026 KNIME Customer Excellence Partner of the Year Preferred Partner in the Anthropic Claude Partner Network #1 Partner in Snowflake Advanced Certifications 600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, and more) Recognized as an award-winning workplace in the US , India and LATAM About the Role The Forward Deployed AI Product Engineer is a customer-embedded, full-stack engineer who builds AI-native applications and agents that solve high-value business problems on top of the client’s data and AI platform. This role sits at the intersection of product, engineering, and business outcomes: you will live inside a business unit, learn its operations in detail, and rapidly ship working software that proves measurable ROI. You will be deployed directly into strategic customer accounts as the tip of the spear for AI-powered solutions. You will partner closely with business stakeholders, central platform teams, and other phData consultants to: Identify and shape AI use cases that were previously considered too messy, too manual, or too cross-functional to tackle. Rapidly prototype full-stack, MVP-grade agents, applications, and workflows that demonstrate value in weeks, not quarters. Productionize the most impactful solutions, integrating with the client’s AI Data Platform, existing systems, and operational workflows. Feed technical and architectural patterns back into the client’s platform and operating model to create durable, long-term leverage. You will own the end-to-end lifecycle of AI-native solutions in your business area: discovery, value articulation, design, implementation, iteration, and handoff. You must be equally comfortable whiteboarding with executives about KPIs and ROI, sitting side-by-side with frontline operators to understand real-world constraints, and diving deep into code to ship features quickly. This is a highly hands-on, travel-heavy role designed for engineers who want to be as close as possible to the business problem, not just the technology. You will act as a lead engineer within one or more “fusion pods,” collaborating with data engineers, ML engineers, activation specialists, and client teams to deliver outsized business impact. About You You are obsessed with business outcomes, not just technology. You think in terms of KPIs, ROI, and time-to-value, and you can sit across from a VP, GM, or CTO to recommend architectures, workflows, and tools that directly tie to their goals. You are a builder. You’re not looking for a rigid playbook or a fully defined product; you want to help define the solution, build the first versions, and iterate quickly based on real user feedback. You have strong business curiosity. You naturally dig into how operations actually work, what’s broken, and how AI and software can reshape processes rather than just automate existing ones. You have empathy to sit with business users, observe how they actually work, and listen carefully to their pain points. You apply design thinking to reimagine their workflows and tools, not just digitize the current process. You are comfor