Technical Product Manager, Creative Engine

Summary

Sierra Studio is a performance creative agency that specializes in creating ads for various platforms. They are seeking a Technical Product Manager to lead the development of their Creative Engine, which will integrate creative strategy with data insights to enhance their advertising processes.

Responsibilities

• Own the product vision and roadmap for the Creative Engine, translating creative strategy and performance insights into a data product the whole agency runs on
• Define the insights that matter — work with creative strategists to turn fuzzy questions ("what are the top hooks for beauty right now?") into structured, queryable outputs
• Partner with engineering on the data foundation, shaping the data model and pipelines that pull, structure, and connect data across performance creative, TikTok Shop, TikTok LIVE, Meta, and the creator portal
• Design the "brain" — define how viral organic references, top-performing ads, and creator history come together into creative inspiration on demand, not just a keyword search
• Spec how the team accesses the Engine: dashboards, tag browsers, and insight queries strategists use daily, plus access through Slack, Cowork, and the web portal (internal team first, clients next)
• Streamline UGC production workflows into scalable, repeatable systems alongside engineering and creative
• Run structured creative tests to evolve formats, validate what actually drives performance, and feed those learnings back into the Engine
• Turn winning patterns into reusable assets: content briefs, hook frameworks, and a library of UGC templates grounded in performance data
• Be the connective tissue between creative, talent, and engineering

Skills

• 4+ years in product management, creative strategy that moved into product, or a technical PM role bridging creative and engineering teams
• Deep understanding of performance creative and UGC — you know what makes an ad work and can articulate why
• A track record of translating fuzzy, qualitative requirements into clear specs, data models, and roadmaps
• Comfortable working closely with engineers on data architecture — you can hold your own in a conversation about schemas, pipelines, and APIs even if you're not the one writing the code
• Experience with structured creative testing and iteration
• Fluency with AI creative and dev tools: LLMs for scripting and analysis, plus hands-on familiarity with agentic coding tools (Claude Code, Cowork)
• High ownership, low ego, and comfortable with ambiguity on a small team with minimal process
• Domain experience in ad tech, creator economy, performance marketing, agency, or marketplace platforms
• Hands-on experience shipping AI/LLM-powered product features
• Technical fluency: comfortable with SQL, can read code, has built prototypes (even scrappy ones) with AI coding tools
• Familiarity with the TikTok and Meta ad ecosystems and their APIs
• Close enough to data to know when a simple scoring function beats a complex model

Qualifications

Must Haves

• 4+ years in product management, creative strategy that moved into product, or a technical PM role bridging creative and engineering teams
• Deep understanding of performance creative and UGC — you know what makes an ad work and can articulate why
• A track record of translating fuzzy, qualitative requirements into clear specs, data models, and roadmaps
• Comfortable working closely with engineers on data architecture — you can hold your own in a conversation about schemas, pipelines, and APIs even if you're not the one writing the code
• Experience with structured creative testing and iteration
• Fluency with AI creative and dev tools: LLMs for scripting and analysis, plus hands-on familiarity with agentic coding tools (Claude Code, Cowork)
• High ownership, low ego, and comfortable with ambiguity on a small team with minimal process

Nice to Haves

• Domain experience in ad tech, creator economy, performance marketing, agency, or marketplace platforms
• Hands-on experience shipping AI/LLM-powered product features
• Technical fluency: comfortable with SQL, can read code, has built prototypes (even scrappy ones) with AI coding tools
• Familiarity with the TikTok and Meta ad ecosystems and their APIs
• Close enough to data to know when a simple scoring function beats a complex model