Solutions Architect at Typeface

Job description

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 7+ years of experience designing Solution Architectures for Enterprises and delivering on them via technical delivery Bachelor's degree in business, computer science, or a related field 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. Benefits Competitive compensation — including salary, equity, and 401(k) Full medical, dental, and vision insurance for you and your family HSA and FSA options to support your financial wellness Flexible time off — including parental leave Well-being programs — resources to support your mental and physical health Daily lunch & snacks Mentorship & impact — work closely with top AI leaders on products that ship Equality Opportunity Statement We welcome and encourage applicants from all backgrounds. Employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, medical condition, veteran status, or any other legally protected status. We comply with applicable laws in every jurisdiction where we operate. Why You’ll Love Working Here Build something big — Be part of a fast-growing startup defining a new category: marketing orchestration powered by Agentic AI. Your work will matter — Trusted by Fortune 100 companies, our platform delivers 10x content velocity and 90% faster campaigns. A+ team — Collaborate with veterans from Meta, Amazon, Adobe, Google, Microsoft, and top AI companies. Backed by the best — GV, Salesforce Ventures, Microsoft, Lightspeed, Madrona and M enlo ($165M raised). Recognized for innovation — TIME Best Inventions, Fast Company Next Big Thing in Tech, Gartner Cool Vendor, Adweek AI Company of the Year, LinkedIn Top Startup, Webby Award (AI Work & Productivity).

Requirements

Must-haves

About Typeface We he lp the world’s biggest brands move from brief to fully personalized campaigns — in days, not months.
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
7+ years of experience designing Solution Architectures for Enterprises and delivering on them via technical delivery
Bachelor's degree in business, computer science, or a related field
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
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. Benefits
HSA and FSA options to support your financial wellness
Well-being programs — resources to support your mental and physical health
Daily lunch & snacks

Nice-to-haves

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Benefits

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Dental

Vision

401(K)

Parental Leave

Wellness