Lead growth and demand generation for a B2B AI infrastructure startup. Build PLG funnel, run paid and organic developer campaigns, own SEO/content, implement lead scoring and ABM, create enterprise sales enablement materials, and set up growth analytics and lifecycle marketing to drive awareness, activation, and customer acquisition.
About DeepInfra
Role Overview
What You’ll Do
What You Bring
How we work
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.
DeepInfra is backed by leading investors including A.Capital, Felicis, 500 Global, Georges Harik, Samsung Next, Supermicro, Upper90, Peak6, SVAngel and Nvidia.
We are looking for a Marketing Director to build and run the growth engine for DeepInfra and support our B2B sales efforts. You’ll focus on driving awareness, activation, and customer acquisition through a mix of growth experimentation, paid programs, lifecycle marketing, and cross-functional collaboration.
As our first marketer, you’ll own the entire program across paid ads, AEO/SEO, scoring and routing, lifecycle nurturing, events, webinars, influencer partnerships, and development of sales collateral. You’ll work closely with founders, engineering, and sales to make foundational strategic decisions like ICP, systems, and channels that help more teams discover and successfully adopt our platform. You will also work closely with our sales team to help drive our B2B sales funnel. We’re looking for someone resourceful, analytical, and exceptionally strong at execution.
1. Sales Enablement & Enterprise Acceleration (Sales Support)
- 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-up
- Lead Scoring & Routing: Establish a seamless marketing-to-sales handoff: Build telemetry to identify "Product Qualified Leads" (PQLs)—identifying developers whose usage patterns indicate they are ready for a dedicated enterprise contract
2. 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
3. Growth & Demand Generation (Self-Serve Engine): Build the PLG Funnel (could be doing or managing a resource doing)
- Own the metrics from developer sign-up to API key activation and sustained token usage
- Optimize user acquisition costs (CAC) and lifetime value (LTV)
- Technical Performance Marketing: Run targeted, data-driven paid and organic campaigns across developer-heavy ecosystems (GitHub, Reddit, Twitter/X, Hacker News, Discord)
- AEO & SEO & Content Strategy: Collaborate with engineering to turn benchmarks, price-to-performance case studies, and technical optimization content into a high-ranking inbound engine
- Funnel Analytics: Setup and own the growth marketing stack (e.g., PostHog, Hubspot, Segment) to track developer attribution, activation milestones, and churn
- Experience: 5+ years of growth or product marketing experience in developer tools, B2B SaaS, cloud infrastructure, or the AI infrastructure layer (Inference/ Compute/ MLOps). You must have strong B2B marketing experience
- 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: Deep analytical approach to marketing. You live in analytics dashboards, value hard technical metrics over superficial brand KPIs, and can run rigorous A/B experiments.
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.
CompensationThe base pay range for this role is $200,000 – $300,000 per year.
Deep Infra Inc. Palo Alto, California, USA Office
Palo Alto, California, United States, 94306
Similar Jobs
Artificial Intelligence • Cloud • Software • Infrastructure as a Service (IaaS)
Lead and unify global PR, corporate communications, analyst and influencer relations. Define corporate communication strategy, manage crisis response, oversee digital and social channels, set KPIs and attribution, counsel C-suite, and hire/mentor a high-performing communications team to drive brand awareness, trust, and pipeline influence.
Marketing Tech • Mobile • Software
Lead a small GTM product marketing team to translate product messaging into field-facing narratives, playbooks, and enablement. Partner with Sales, Solutions Consultants, CS, and partners to drive pipeline, product adoption, and deal velocity while using AI tools judiciously and scaling GTM motions globally.
Top Skills:
AIBrazeBrazeai
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead portfolio-level product and solutions marketing for ServiceNow Autonomous IT and AI-native workflows. Define the category narrative, unify GTM across ITSM/ITOM/product teams, engage customers and analysts, build customer proof points, and hire and grow a team of product and solutions marketers to operationalize the portfolio vision.
Top Skills:
Agentic AiAIAutonomous ItAutonomous Service OperationsItomItsmServicenow
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine


.jpg)
