Performance Marketer

Job description

## About Nuance Labs Nuance Labs is building photorealistic, real-time AI avatars with emotional intelligence: a full-duplex audiovisual system that can listen, speak, react, interrupt, and respond like a real person. We're a research company, with PhDs from MIT, UW, Oxford, CMU, and Johns Hopkins, and industry experience from Apple, Meta, Amazon AGI, and more. Backed by Accel, Lightspeed, South Park Commons, and NVIDIA, we combine frontier research with ruthless engineering needed for consumer-grade, real-time systems. The team is small, the work is real, and the problems are unsolved. ## How Nuance Differentiates Most conversational AI avatars today are hacks — a face slapped on a speech-to-speech pipeline, stuck in the uncanny valley: emotionless, mechanical, one-turn-at-a-time. Current systems take 2–5 seconds to respond; natural conversation requires sub-500ms. That's a 10x improvement, and it demands rethinking the entire stack. That rethinking starts with full-duplex: an AI that listens and speaks simultaneously, perceives emotion in real time, and responds with a face that actually reflects it. It's an extremely hard problem, and we're developing foundation models designed for it from the ground up. ## About the Role We’re looking for a Performance Marketer who combines analytical rigor with fast, hands-on execution. This is a zero-to-one opportunity: build our first repeatable acquisition channels and turn early interest into meaningful product usage. You’ll help establish the playbook, using small, fast experiments to learn what works. You’ll own acquisition experiments, campaign measurement, and conversion optimization. That means launching campaigns yourself, understanding what happens after the click, and making clear decisions about what to scale, change, or stop. You should be equally comfortable digging into a funnel and testing a new creative idea. You’ll report to our Chief Growth Officer, and work closely with product, engineering, and Developer Relations. This is a hands-on individual contributor role. Your initial focus will be finding and validating a small number of acquisition channels, improving conversion to first meaningful product usage, and building a clear measurement foundation. Our Chief Growth Officer will set overall growth priorities and budget with you. ## What You’ll Own - Own day-to-day campaign execution and budget pacing for prioritized channels. Build a weekly testing cadence and recommend where to increase, reduce, or stop spend. - Test paid search, paid social, retargeting, and relevant sponsorships. Choose channels based on audience fit and results, and scale spend when the evidence supports it. - Design experiments across audiences, messaging, creative, landing pages, and calls to action. Set a clear hypothesis and success criteria, then turn the results into the next decision. - Partner with our Chief Growth Officer and creative collaborators to develop and iterate on ads, copy, and landing pages. Translate performance data into specific creative improvements. - Work with engineering and product to establish reliable tracking, attribution, and dashboards from first visit through signup, activation, and repeat usage. - Analyze acquisition cohorts and funnel drop-offs for the audience and use case each campaign targets. Identify which sources bring users who activate and return, and use those findings to guide the next test. - Improve conversion and activation with the product team, including onboarding and lifecycle experiments that help new users find value. - Report clearly on spend, cost per activated user or qualified lead, conversion, and retention by source. As monetization develops, connect acquisition decisions to revenue and unit economics. ## What We’re Looking For - A track record of personally running acquisition campaigns and improving measurable business or product outcomes, with depth in at least one paid channel. You can explain the budget, your contribution, the results, and the tradeoffs. We value evidence of independent execution; previous team management or ownership of a global marketing function is not required. - Strong analytical skills. You’re comfortable working with spreadsheets, analytics tools, and cohort data, and can investigate why a metric changed. - Sound experimental judgment. You understand attribution limitations, small sample sizes, and the difference between a platform-reported conversion and incremental growth. - Hands-on ability to launch campaigns, write copy, brief creative, and improve landing pages. You move quickly from an idea to a live test. - Good creative instincts and curiosity about user behavior. You use data to sharpen your judgment and develop better ideas. - Budget discipline and clear prioritization. You know when to keep testing, when to scale, and when to stop. - **Zero-to-one ownership.** You’ve taken an acquisition idea from a blank page to a live campaign, established the measurement, and used early results to decide what to do next. - **Scrappiness.** You can get a useful test live with limited budget and support, creating copy, simple assets, and landing pages yourself when needed. You know where polish matters and where a quick prototype will answer the question. - **Independence.** Given a goal and budget, you can propose a plan, prioritize the work, resolve routine blockers, and follow through without daily direction. You communicate what you’re learning and ask for help when a decision needs broader input. ## Bonus Points - Experience growing AI products, developer tools, or consumer technology. - SQL proficiency and experience setting up event tracking, attribution, or marketing dashboards. - Experience with lifecycle marketing, referral programs, or product-led growth. - Experience measuring creator campaigns or sponsorships beyond impressions and clicks. ## Show Us Your Work Share two or three campaigns or growth experiments you personally owned. Walk us through the goal, budget or scale, hypothesis, changes you made, and results. Include something you built from scratch with limited resources, plus an experiment that failed and what you did next. Explain which decisions you made independently and where you brought in help. Anonymized examples are welcome. ## Compensation $200,000–$225,000 base salary, plus meaningful equity. We think long-term ownership matters and structure equity accordingly. ## Logistics - **Location:** In-person in Seattle, five days a week — we believe in the compounding value of working shoulder-to-shoulder. - **Visa sponsorship:** We sponsor visas (O-1, H-1B, green card, etc.) from day one. - **AI-native tooling:** Do your best work with the best tools, including unlimited tokens. ## Benefits & Perks - **Health:** We offer a variety of plans that meet your needs, including an HDHP with ~$2,000 in annual HSA contributions by the company (roughly 2x what most big tech companies put in). - **Wellness:**$2,000/yr to spend on gym memberships, fitness equipment, training/coaching, classes, and more. - **Work setup:**One-time $500 to spend on any tech or accessories that you might need to optimize your workflow. - **Time off:** 15 days of PTO, 10 public holidays, and we close the office for a full week at year-end. - **Culture:**Quarterly events, annual retreat, holiday party, etc. - **Food:** Lunch, drinks, and snacks on us every workday. We observe boba tea Tuesdays and Thursdays. - **Commuter benefits:** Utilize pre-tax money (up to $340/month) for parking and transportation. - **401(k):**4% match (100% of 1st 3% + 50% of next 2% contributions). *Nuance Labs is an equal opportunity employer. We believe diverse teams build better AI.*