Incrementum

Role Description We're hiring our first dedicated GTM Engineer to sit at the intersection of sales, marketing, and product. You'll build the systems, workflows, and AI-powered tooling that let a focused revenue team generate an enterprise-grade pipeline without enterprise-grade headcount. If you've ever looked at a sales motion and thought "this could be 10x more efficient with the right stack, the right data, and a few well-placed LLM calls" this is the role for you. You'll have the rare combination of a real ICP (drayage carriers and brokers), a rich domain (FMCSA data, port operations, chassis pools, intermodal flows), and autonomy to build. What You'll Own - Outbound & Account Intelligence - Build and maintain enrichment pipelines that combine FMCSA SAFER data, port activity signals, fleet composition, chassis ownership, terminal proximity, and TMS incumbency to score and prioritize drayage carriers and brokers. - Develop LLM-powered personalization workflows in Clay, Apollo, or similar so every outbound touch references the prospect's actual operating reality, not a generic "growing your trucking business" pitch. - Stand up intent-data and remarketing reconciliation flows across our tech stack. - Sales Enablement & Pre-Call Intelligence - Productize pre-call intel briefs into automated, repeatable artifacts AEs can pull on demand. - Build and maintain competitive battlecards and displacement playbooks for our most common takeouts (CompCare/Compcare, Profit Tools, Trinium, McLeod, Tailwind, in-house systems). - Call Intelligence & Revenue Analytics - Build pipelines from Gong (or successor) into LLM workflows that produce daily/weekly sales reports, surface objection patterns, flag at-risk deals, and feed competitive intel back to product and marketing. - Partner with RevOps to build attribution, conversion, and velocity dashboards that actually inform decisions not just decorate Monday meetings. - Field & Event Activation - Build the systems behind PortFest, Drive, TPM and regional drayage association events: pre-event prospect lists, post-event nurture flows, on-site demo capture, attribution back to pipeline. - Help marketing run experiments on messaging, positioning, and channel mix and instrument them properly so we learn from what works. - Internal AI Tooling - Stand up and govern internal AI workflows the GTM team uses daily: prompt libraries, custom Claude/GPT projects, RAG over our content library, MCP integrations with our CRM and call platforms. - Be the person who decides when a workflow should be a Clay table vs. a Python script vs. a real product request to engineering. Qualifications - 3+ years in a GTM Engineering, RevOps, Sales Engineering, or Growth Engineering role and a bonus if any of that was at a vertical B2B SaaS company. - Working proficiency in Python and SQL; comfortable in JavaScript when needed. - Deep, opinionated fluency with the modern GTM stack: Clay, Apollo (or similar), Gong, Salesforce, HubSpot, LinkedIn. - Hands-on experience building with LLM APIs (Anthropic, OpenAI) prompt design, tool use, evals, cost management. - A track record of shipping systems that demonstrably moved a revenue metric: pipeline created, meetings booked, win rate, cycle time. Strongly Preferred - Domain knowledge in freight, logistics, supply chain, or trucking or proven ability to ramp on a complex vertical fast. - Familiarity with FMCSA data sources (SAFER, L&I, MCS-150), or analogous public/regulatory datasets in another vertical. - Experience with MCP, agent frameworks (LangGraph, CrewAI, etc.), or production AI Orchestration. What Success Looks Like - By 90 days: Pre-call intel briefs and account enrichment are running on automation for the AE team; outbound personalization quality is measurably higher. - By 6 months: Pipeline created per SDR/AE has meaningfully increased through better targeting and tooling. - By 12 months: PortPro's GTM stack is a competitive advantage and visiting peers from other freight tech companies leave wanting what we have.

Role Description We're looking for a B2B Graphic Designer who can move fluently between paid ad creative, sales enablement assets, brand systems, and content design — and who is genuinely curious about how AI is reshaping the design workflow. This is a B2B role, so you'll be designing for buying committees, not impulse purchases. You should understand what makes paid ads convert in a LinkedIn feed full of corporate noise, why a one-pager beats a 40-page deck, and how to translate dry technical positioning into work that actually gets attention. We don't want a pure production designer waiting for pixel-perfect briefs. We want someone who can take a rough strategy doc, ask the right questions, and come back with a confident first round — then iterate fast using both traditional tools and the latest AI-powered design platforms. Qualifications - 3+ years of B2B design experience (in-house or agency). - Strong portfolio showing paid ad creative, sales/marketing collateral, and brand work — bonus if it includes B2B SaaS, professional services, or technical industries. - Expert proficiency in Adobe Illustrator, Photoshop, and Figma. - Solid type, layout, and color fundamentals. You can defend your choices. - Comfortable producing at multiple fidelities — quick concepts in the morning, polished assets by the end of the day. Requirements - You understand paid ads as a discipline, not just visuals: what makes a LinkedIn ad stop the scroll, why most B2B creative is mediocre, and how creative interacts with targeting and messaging. - Familiarity with ad spec requirements across major platforms (LinkedIn, Meta, Google, programmatic). - Comfortable designing within and extending brand systems — yours or someone else's. - Hands-on experience with current AI design tools (Midjourney, Firefly, Runway, Ideogram, etc.). - A clear point of view on when AI helps and when it gets in the way. - Excited (not threatened) by AI's role in the design workflow. Bonus Experience - After Effects or Premiere for short-form motion and video ads. - Webflow or Figma-to-code experience. - Experience designing for account-based marketing programs (personalized assets at scale). - Light front-end skills (HTML/CSS) — enough to spec things accurately for developers. - Comfort with prompt engineering for image and video models. - Background in branding or identity systems for early-stage B2B companies. Soft Skills - Self-directed and proactive — you don't wait for someone to hand you the perfect brief. - Strong communicator who can present and defend creative work to clients and internal teams. - Detail-obsessed about kerning, alignment, and consistency, but practical about deadlines. - Curious about the businesses you're designing for — you'll do better work for clients whose products you actually try to understand. - Thrives in a high-velocity environment with multiple simultaneous projects and clients. What Success Looks Like In the first 60–90 days, you will: - Ship paid ad creative across multiple clients with measurably stronger performance than what we had before. - Establish an internal AI-assisted design workflow — including prompt libraries, style references, and SOPs the rest of the team can use. - Take ownership of at least one client's full creative output (ads, collateral, brand evolution). - Become the team's internal expert on AI design tools and how they fit into our production pipeline.