Join Typeface as a Solutions Architect to drive customer transformations with AI-driven applications and scalable technical architectures.
Posted by employer 11 months ago
First seen on Joblaze 1 month ago
Last verified on the company career page 1 day ago
AI in the day-to-day
You’ll combine full-stack engineering expertise with hands-on GenAI experience—building custom agents, workflows, and reusable components.
Not disclosed in this posting: years of experience, work arrangement, visa sponsorship.
Joblaze summary
In the role of Solutions Architect at Typeface, the individual will focus on translating complex business requirements into effective technical solutions while rapidly prototyping AI-driven applications. Key skills include full-stack engineering, hands-on experience with generative AI, and proficiency in integrating various customer systems. This position is ideal for someone with a strong background in enterprise architecture and a customer-centric approach, thriving in a fast-paced startup environment. Typeface's innovative team is dedicated to reshaping enterprise marketing through cutting-edge technology.
Quick facts
- What's the salary range?
- Typeface lists $160,000–$210,000 for this role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI/ML, Adobe Experience Cloud, Campaign Manager 360, Claude, DALL-E, GPT-4.
- What seniority level is this role?
- Typeface targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Solutions Architect role at Typeface.
From the original posting
About Typeface
We help the world’s biggest brands move from brief to fully personalized campaigns — in days, not months.
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
Why You’ll Love Working Here
Standard company text repeated across Typeface's postings is omitted here.