GenPeach AI

• Implement and iterate on image/video generative model ideas (architecture, losses, conditioning, sampling, pre-training, distillation, post-training) • Own training performance end-to-end (distributed training, throughput, memory, stability, debugging scaling failure modes) • Build the experimentation loop (evals, ablations, reproducibility tooling, reporting, decision hygiene) • Build and improve VLMs for image/video captioning (data recipes, training strategies, model variants, evaluation) • Run high-iteration research: read papers when useful, implement ideas, validate empirically • Create captioning pipelines that improve generation training and product quality • Partner with inference/product to ship under real constraints (latency, cost, reliability, rollout safety) • Build demos and prototypes to showcase capabilities and accelerate iteration

• Own the AI execution and infrastructure layer used by research and product teams • Design and build high-performance Python systems for: - scalable model inference - training orchestration - large-scale data processing • Partner closely with research and backend engineers to productionize models and expose them via APIs • Design and operate distributed pipelines and task queues for batch and streaming workloads • Optimize GPU inference for latency, throughput, and cost efficiency • Own the MLOps lifecycle, model deployment and versioning; monitoring and alerting • Build and maintain CI/CD pipelines for services and ML workflows • Debug and resolve performance bottlenecks across Python, GPUs, networking, and storage • Contribute to infrastructure design decisions and long-term architecture

• Own early go-to-market execution: community development, content strategy, strategic partnerships and targeted outreach campaigns • Build and manage relationships with design partners and early customers across creator, studio and agency segments; recruit and organize participants for ongoing product research and testing • Drive early commercial conversations and create structured channels for market feedback • Collaborate with product leadership to develop and execute positioning and messaging, turning technical strengths into clear customer value and narratives • Provide clear, structured market feedback that supports product decision-making and execution speed • Track the competitive landscape: emerging GenAI creative tools, workflows and user expectations • Represent GenPeach externally with confidence, credibility and strong EQ

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We’re hiring a Founding GTM Lead to own go-to-market execution end-to-end – working directly with the founding team. You’ll deepen engagement with design partners and early customers, turn product capability into commercial traction and build the GTM playbook from first principles. This is a founding-level role with high ownership, significant autonomy and direct impact. - Own early go-to-market execution: community development, content strategy, strategic partnerships and targeted outreach campaigns - Build and manage relationships with design partners and early customers across creator, studio and agency segments; recruit and organize participants for ongoing product research and testing - Drive early commercial conversations and create structured channels for market feedback - Collaborate with product leadership to develop and execute positioning and messaging, turning technical strengths into clear customer value and narratives - Provide clear, structured market feedback that supports product decision-making and execution speed - Track the competitive landscape: emerging GenAI creative tools, workflows and user expectations - Represent GenPeach externally with confidence, credibility and strong EQ Qualifications - 4–8+ years in GTM, partnerships, growth or client-facing roles, with at least 3+ years serving professional creatives at creative tools companies, agencies, creator platforms, or production studios - Proven experience in at least one motion: B2B partnerships/sales (pilots, early deals) and/or B2C growth (creator/prosumer funnels, community building) - Strong customer-facing skills: discovery, value articulation, relationship management, and user engagement - Hands-on, execution-driven mindset with ability to operate independently Requirements - Strong candidates may also have 1–2+ years exposure to GenAI products or workflows (hands-on usage and curiosity for newest tools and models) - Experience building early-stage go-to-market systems from scratch (content, community, partnerships, outreach) - Experience at GenAI or AI-first startups - Comfort using AI tools/agents for productivity (automation, outreach, research, content, analytics) - Technical enough to understand model capabilities and engage in product discussions Logistics - Location: US-based in New York (preferred) or San-Francisco – remote. Alternatively Zurich or Warsaw – onsite or hybrid. If you’re elsewhere, we’re open to remote or relocation (team/timezone fit considered). - Travel: occasional travel for customer meetings and team offsites - Compensation: competitive salary + performance bonus or equity Benefits - Visa sponsorship (where applicable) - Remote-friendly: fully remote, hybrid, or on-site from our hubs - Regular offsites and in-person events - Flexible PTO