Jobs

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. About the Role The Product Forward Deployed Engineering (FDE) team is Salesforce's zero-to-one engine for new agentic product innovation. We embed directly with our most strategic customers to validate emerging AI capabilities, harden the platform under real-world conditions, and transform every field insight into repeatable patterns that shape the product roadmap. We are looking for a Senior Director, Forward Deployed Engineering to lead our Agentforce Supply Chain organization. This is a senior technical leadership role at the intersection of AI, enterprise supply chain, and product development. You'll embed expert engineering talent with strategic customers to own and evolve the agentic workflow infrastructure powering Agentforce Supply Chain — purpose-built for complex, multi-party manufacturing environments. In doing so, you'll incubate emerging capabilities, validate pre-GA and early GA features, and generate the product signal that drives roadmap priorities — ensuring what we learn in the field directly shapes what gets built next. Your Impact Leadership & Team Management Lead a High-Performing Team: Recruit, mentor, and develop a global team of Produ

Our Company

At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers—and our customers’ customers—to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.

What You'll Do

We are seeking Director of AI Engineering to lead teams building Agent Platform, Agents and AI Tools to automate complex engineering tasks and lead AI initiatives that will change the way products are built, tested and released to enterprise customers for all Teradata product offerings. In this role, you will shape the engineering strategy for agent development, operationalization, and productization, low‑code/no‑code/pro-code frameworks. You’ll partner with engineering, product, architecture, and AI platform teams to deliver high-impact AI capabilities that boost developer productivity and transform customer experiences. Your work will help standardize agent governance, accelerate AI adoption, and deliver measurable ROI through autonomous and semi‑autonomous engineering workflows

Your Opportunity

Lead end‑to‑end development of AI agents, from ideation and prototyping to production‑ready releases on unified agent platforms

Drive architecture and standardization of core agent building blocks (LLM gateways, observability, knowledge bases, vector stores, evaluation frameworks).

Establish best practices for secure, governed, and auditable agent development (governance frameworks, certification processes, review workflows).

Work with product teams to integrate low‑code/no‑code and pro-code agent frameworks (e.g., Karini, N8N, or internal alternatives) into unified developer experiences.

Lead the operationalizati

What you will do

In this role you will build the agentic systems that power Teradata's next generation of AI-driven analytics - intelligent agents that reason over enterprise data, invoke Vantage capabilities as tools, and complete multi-step analytical tasks autonomously.

You will design and implement agent skills and plugins that extend the Teradata agent harness, build evaluation frameworks to measure agent quality, and contribute to the reliability and performance of agent workflows running on Vantage. Your work directly enables customers to move from asking Teradata questions to delegating analytical tasks to AI agents.

Success looks like agents in production that solve real customer problems - with measurable accuracy, latency, and reliability benchmarks that outperform what is possible on Snowflake Cortex or Databricks Genie.

Who you will work with

You will join a focused team of AI engineers within Teradata's AI Apps, Analytics, and UX Engineering organization, working on the most technically ambitious part of the Teradata product roadmap. We ship code, not demos.

This role reports to the Senior Manager of AI Engineering and collaborates closely with Staff AI Engineers, the Agent Platform team, and Product Management. You will have access to Teradata's world-class data infrastructure and the opportunity to shape how enterprise agents work at scale.

What makes you a qualified candidate
3-6 years of software engineering experience with at least 2 years building agentic AI systems in production - not just RAG pipelines or chatbots. Hands-on experience implementing agent skills, plugins, or tools that extend an agent harness (Claude Code, OpenCode, Codex, OpenClaw, LangGraph, or equivalent). Proficiency in Python; Go experience is a strong advantage. Understanding of agent planning loops, tool-calling protocols, function calling APIs (OpenAI, Anthropic, or Google format), and prompt engineering for reliability.
What you will bring
Op

Our Company

At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers—and our customers’ customers—to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.

What You'll Do

We are seeking Director of AI Engineering to lead teams building Agent Platform, Agents and AI Tools to automate complex engineering tasks and lead AI initiatives that will change the way products are built, tested and released to enterprise customers for all Teradata product offerings. In this role, you will shape the engineering strategy for agent development, operationalization, and productization, low‑code/no‑code/pro-code frameworks. You’ll partner with engineering, product, architecture, and AI platform teams to deliver high-impact AI capabilities that boost developer productivity and transform customer experiences. Your work will help standardize agent governance, accelerate AI adoption, and deliver measurable ROI through autonomous and semi‑autonomous engineering workflows

Your Opportunity

Lead end‑to‑end development of AI agents, from ideation and prototyping to production‑ready releases on unified agent platforms

Drive architecture and standardization of core agent building blocks (LLM gateways, observability, knowledge bases, vector stores, evaluation frameworks).

Establish best practices for secure, governed, and auditable agent development (governance frameworks, certification processes, review workflows).

Work with product teams to integrate low‑code/no‑code and pro-code agent frameworks (e.g., Karini, N8N, or internal alternatives) into unified developer experiences.

Lead the operationalizati

Forward-Deployed Engineer, API — Vector
Location: Boston, MA (Hybrid) · Stage: Seed → Series A · Reports to: Head of Engineering

About Vector
Vector is a contact-level advertising platform built for B2B demand generation teams who are tired of paying LinkedIn to show ads to people who will never buy from them.

We let marketers build ad audiences from real, verified contacts — people actively visiting their site, engaging with their brand, or researching competitors right now. Then we sync those audiences directly to LinkedIn, Meta, Google, Reddit, and more. The result: less spend on noise, more spend on actual buyers.

We went through Y Combinator, we're backed by serious investors, and we're preparing for a Series A. The core platform has product-market fit. Now we need someone to own what comes next.

The Opportunity
Vector's API product exists — and it's working. Customers are integrating with it. Revenue is coming in. But right now it's being supported off the side of three people's desks, none of whom can give it the attention it deserves.

This is the hire that changes that.

You'll be the first person fully dedicated to our API product — owning everything from the technical onboarding experience to the SDK and documentation to scoping new integrations with prospects. You're not joining a team. You're building the foundation for one.

This role sits at the intersection of engineering, product, and go-to-market. Some days you'll be writing code. Other days you'll be on a call walking a customer's engineering team through an integration. Other days you'll be shaping the roadmap based on what you're hearing in the field. If you need a clean swim lane to be productive, this isn't for you. If you like owning something end-to-end and making it real, keep reading.

What You'll Own
API product ownership You'll be the internal owner of the API product — its roadmap, its reliability, and its trajectory. You'll work closely with engineering and leadership to