Product Marketing Director

Product Marketing Director

DeepInfra is building the foundation for companies to use modern AI in production — simply, reliably, and at scale. Our team has deep experience building large systems that serve hundreds of millions of users, and we're bringing that same level of rigor to a rapidly evolving AI inference space. Our mission is to make advanced AI available to people and teams everywhere. We're an early, tight-knit team where you can influence product direction, try bold ideas, and drive meaningful work forward quickly. If you want to join a fast-growing company at a defining moment, we'd love to talk.

We are looking for a Product Marketing Director to build and run the product marketing strategy and programs. In this role you will translate DeepInfra's serverless inference infrastructure, open-weights model catalog, and low-latency performance into compelling, buyer-aligned narratives that accelerate self-serve developer conversion and empower enterprise sales teams to win against hyperscalers (AWS Bedrock, Azure AI) and specialized inference platforms (Fireworks AI, Together AI, Groq). As our first product marketer, you'll own the entire program and will be expected to drive execution. You'll work closely with founders, engineering, and sales to make foundational strategic decisions like ICP, positioning, approach, and own messaging and communication across all channels (website, sales collateral, etc).

What You'll Do

Product Marketing & Positioning

• Own the Narrative: Clearly articulate why DeepInfra's full-stack vertical integration results in structurally better latency and economics than renting on hyperscalers.
• Define ICP.
• Launch Velocity: Partner with product and engineering to market new open-source model additions, framework collaborations (e.g., NVIDIA NemoClaw), and feature updates instantly to the developer ecosystem.
• Own website design.

Sales Enablement & Enterprise Acceleration

• Construct the Enterprise Playbook: Create the pitch decks, whitepapers, price-comparison models, and case studies that sales requires to close mid-market and enterprise deals.
• Account-Based Marketing (ABM): Design highly targeted campaigns targeting CTOs, VPs of Engineering, and Head of AI roles at high-growth tech companies and enterprise scale-ups.
• Lead Scoring & Routing: Build the telemetry to identify "Product Qualified Leads" (PQLs) — developers whose usage patterns signal they're ready for a dedicated enterprise contract — and establish a seamless marketing-to-sales handoff.

What You Bring

• Experience: 5+ years of product or generalist marketing experience in developer tools, B2B SaaS, cloud infrastructure, or the AI infrastructure layer (Inference/ Compute/ MLOps). You must have strong B2B marketing experience.
• You have built great innovative product narratives for technical products.
• Technical Competency: You do not need to write production code, but you must thoroughly understand the developer journey. You must comfortably navigate terms like token throughput, TTFT (time-to-first-token), open-source model hosting, and API integration.
• 0-to-1 Mindset: Proven execution chops as an individual contributor. You excel at jumping from writing a technical blog post to configuring an ad campaign to designing an enterprise sales deck in the same afternoon.
• Data-Driven: Analytical approach to marketing.

How We Work

Three traits define the people who thrive here, and this role leans on all three.

Initiative: We take ownership and step in where we can add value. Whether it's starting something new, improving what exists, or helping move ideas forward, we aim to be proactive and thoughtful in how we contribute.

Drive: We're energized by hard problems. Building AI infrastructure is complex, and we lean into that. We care about doing things well, moving fast, and continuously improving — because solving meaningful challenges is what motivates us.

Grit: Things don't always work on the first try — and that's expected. We stay persistent, adapt quickly, and learn as we go. We take setbacks seriously, but not personally, and use them to get better.