Solutions Architect

About Typeface We he lp the world’s biggest brands move from brief to fully personalized campaigns — in days, not months.   Founded by Abhay Parasnis and backed by Microsoft, GV, Salesforce, Lightspeed, Madrona and Menlo, we’re building category-defining technology at the intersection of creativity and AI with real impact. Join us to help shape the future of enterprise marketing.  

What You'll Do    

As a Solutions Architect, you will translate complex business needs into scalable technical architectures, rapidly prototype AI-driven applications, and integrate Typeface’s platform across customer ecosystems. You’ll combine full-stack engineering expertise with hands-on GenAI experience—building custom agents, workflows, and reusable components—while driving customer transformations through fast experimentation and iterative delivery.   How You’ll Make Impact      Partner with Engagement Managers, and Product teams to define customer requirements, facilitate technical workshops, and co-create GenAI solutions    Serve as a Solution Architect during the sales cycle—proposing the right workflows and architecture upfront, getting customer sign-off, then implementing what you sold   Apply an AI-first experimentation mindset—build proof points in days, iterate on feedback, and demonstrate quick wins that build momentum for transformations    Build custom agents and workflows tailored to specific customer use cases    Develop integrations with customer systems (CMS, DAM, marketing automation, analytics) and platforms like Google Workspace, Salesforce, Adobe Experience Cloud, and Campaign Manager 360    Capture field-proven use cases and funnel them back to Product and Engineering teams to inform the Typeface platform roadmap    Own delivery sprints from requirements through deployment, tackling challenges on-site or remotely while balancing multiple customer engagements    Document playbooks, prompts, patterns, and best practices in internal knowledge bases and create technical guides for common use cases    Share learnings across the organization, mentor other engineers, and present technical demos and case studies at customer events    What You’ll Bring     Proven experience designing Solution Architectures for Enterprises and delivering on them via technical delivery   Outstanding customer-centricity with ability to build trust quickly with enterprise technical teams and stakeholders    Exceptional communication skills to translate complex AI concepts for both engineers and executives, present solutions clearly, and write comprehensive technical documentation    Experience with content management systems, digital asset management platforms, marketing automation tools, and creative workflows   Extensive hands-on experience with LLMs (GPT-4, Claude, Llama, Gemini), diffusion models (Stable Diffusion, DALL·E), and multimodal AI for text, images, video, and audio    Proficiency with prompt engineering, fine-tuning, model optimization, and understanding of LLM capabilities, limitations, and hallucination mitigation strategies    Startup DNA: thrives in fast-paced, ambiguous environments with high ownership mentality, comfortable wearing multiple hats and tackling problems outside core expertise    Base Salary The OTE compensation range for this role is $160,000-$210,000. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process.