About us:

At Podium, we bring AI Employees to local businesses that turn every conversation into revenue. Trusted by 60,000+ businesses across Auto, Home Services, and Aesthetics, Podium captures and converts leads 24/7, driving both new business and repeat customers. In under 24 months, we crossed $100M in AI Agent ARR, scaling 300% year-over-year. During this time, we've deployed 10,000 AI employees to empower real business outcomes for our customers. Podium is building what we believe will be the most impactful AI employee ecosystem for local business.

Podium has been recognized as the Best AI Implementation by Inc. Magazine, highlighted by OpenAI for building revenue-driving AI Agents, and awarded the #1 AI Agent for Business Operations by G2. Our growth is fueled by hiring exceptional people, holding them to high standards, and creating opportunities for them to grow and make an impact. Our operating principles guide daily behavior and ensure we hire people who will thrive at Podium. If you're hungry for growth, aligned to our operating principles, and ready to get to work, you won't find a better place to learn and accelerate your career.

About the role:

We're looking for an AI GTM Engineer who sits at the intersection of revenue operations, sales, and engineering. This isn't a traditional product or DevRel role — you'll be embedded in our Revenue org, building the AI-powered systems, agents, and workflows that directly drive pipeline and remove friction from our sales motion.

Your primary mandate is twofold: rebuild and modernise our lead funnel using AI-first architecture, and design and deploy a suite of internal AI agents that eliminate repetitive, manual work for our AEs and SDRs — giving them more time to sell.

You'll be hands-on with tools, APIs, and automation frameworks, but equally comfortable presenting to stakeholders and translating technical work into business impact.

What you'll be doing:

Lead Funnel Modernisation

• Audit, redesign, and rebuild our end-to-end lead funnel with AI-first tooling and architecture.
• Implement intelligent lead scoring, routing, and enrichment workflows.
• Integrate AI capabilities across our CRM, marketing automation, and inbound/outbound channels.
• Establish feedback loops that continuously improve funnel performance using real conversion data.

AI Agent Development (Internal Sales & CX)

• Design and build AI agents and automated workflows that reduce manual tasks for AEs, SDRs, and CX team members.
• Examples include: call prep agents, follow-up drafting tools, objection-handling assistants, CRM hygiene automations, and meeting summary workflows.
• Identify the highest-friction, highest-volume tasks across the sales team and systematically eliminate them.
• Build with reliability and adoption in mind — agents that reps actually use, not shelfware.

AI Sales Outreach

• Build and iterate on AI-powered outbound workflows — personalised at scale without sacrificing quality.
• Develop sequencing logic, dynamic personalisation layers, and response-handling automations.
• Work with sales leadership to define quality standards and guardrails for AI-generated outreach.

GTM Tooling & Integration

• Own the technical layer of our GTM stack — connecting, customising, and extending tools via API and automation.
• Evaluate and implement new AI tools, platforms, and frameworks that improve sales productivity.
• Build internal dashboards and reporting to track agent performance and workflow ROI.

What you'll have:

Must-Have

• Experience building with modern AI platforms such as:
  • OpenAI APIs
  • Anthropic - Claude Code, Cowork
  • Google DeepMind
• Experience with workflow automation platforms (e.g. n8n, Make, Zapier) and CRM integrations (ideally Salesforce).
• Ability to translate ambiguous sales problems into structured technical solutions.
• Comfort working in a fast-moving, low-process environment — you define the process.

Highly Regarded

• Familiarity with LangChain, LlamaIndex, or similar agentic frameworks.
• Strong proficiency in Python or JavaScript/TypeScript for building automations and integrations.
• Experience with vector databases, RAG pipelines, or prompt engineering at a production level.
• Background in a sales, RevOps, or pre-sales/sales engineering environment.
• Prior work building internal tooling for GTM teams (not just external-facing demos).
• Experience in a high-growth B2B SaaS or startup environment.