Senior/Staff Product Manager

Description

[OpusClip](https://www.opus.pro) is the world's No.1 AI video agent, built for authenticity on social media.

We envision a world where everyone can authentically share their story through video, with no expertise needed. Within just 18 months of our launch, over 20 million creators and businesses have used OpusClip to enhance their social presence.

We have raised $50 million in total funding and are fortunate to have some of the most supportive investors, including SoftBank Vision Fund, DCM Ventures, Millennium New Horizons, Fellows Fund, AI Grant, Jason Lemkin (SaaStr), Samsung Next, GTMfund, Alumni Ventures, and many more.

Check out our latest coverage by [Business Insider](https://www.businessinsider.com/opusclip-softbank-vision-fund-2-funding-valuation-2025-3) featuring our product and funding milestones, and our recognition as one of [The Information's 50 Most Promising Startups in 2024. ](https://www.linkedin.com/posts/yzopusopusclip-has-been-recognized-by-the-information-activity-7255358200395243520-zhOz/?utmmedium=memberdesktop&utmsource=share)

Headquartered in Mountain View, we are a team of 100 passionate and experienced AI enthusiasts and video experts, driven by our core values:

Be a Champion Team

Prioritize Ruthlessly

Ship fast, Quality Follows

Obsess over customers

Be a part of this exciting journey with us!

About The Role

OpusClip is the world's 1 AI video agent for social media, used by 20M+ creators and businesses to turn raw footage into viral-ready clips. We're hiring an AI Product Manager, based in Mountain View, to own the core product roadmap that shapes how millions of creators experience OpusClip every day. Your job is to keep raising the bar on what our product can do and how good it feels, at the pace of a team that ships constantly.

This role sits at the AI end of that roadmap. You'll own the features where model capability is the product, which means going deeper than most PMs do on what the models can actually deliver and on how we measure whether the output is any good.

You'll work out of our headquarters, in the same market as most of our creators and business customers. The people you build for are a coffee away rather than a time zone away, and we expect you to use that.

Responsibilities

• Own a Direction, Not a Backlog: Set the strategy for your surface, commit to the metrics it should move, and be the one accountable when they don't move.
• Own the AI Quality Loop: Define what "good output" means for a generative feature, build the evaluation that measures it, and use that eval to decide what ships and what doesn't. On an AI product, taste alone isn't enough and a benchmark alone isn't either.
• Be the Taste and Quality Bar: Act as the filter for what "good" looks like on a product used by millions. Every feature should feel considered, polished, and worth the user's trust.
• Ship at Scale and Breadth: Run multiple feature workstreams in parallel without losing depth or craft. Know when to go deep on one feature and when to parallelize across several.
• Codify a Repeatable Playbook: Turn your instincts into a method for how to scope, validate, and ship AI-powered features fast, and use it to raise the bar for the broader PM team, not just your own roadmap.
• Partner Deeply with Engineering and Design: Work shoulder-to-shoulder with a high-caliber team to translate frontier AI capabilities (multimodal models, agents) into features creators reach for daily.
• Go Deep with Users: Use direct research, data, and hands-on product use to find the gap between what the product does today and what creators actually need next.

Requirements

• 5+ years of product management experience, with a track record of owning and shipping complex, high-usage features on a consumer or prosumer product
• Deep, hands-on fluency with AI. You judge a model's real capability from your own testing rather than from its benchmark scores, and you can tell a model problem from a prompt problem from a product problem.
• Comfort with evaluation. You've had to decide whether a generative output is good enough to ship when there was no obvious metric, and you built something repeatable to answer it rather than relying on vibes.
• Goal-oriented and ruthless about priority. You work backward from the outcome you own, not the backlog. You can say why the top three things on your roadmap are the top three, and why everything else waits.
• Ownership by default. You chase the loose ends nobody assigned to you, and you close the loop yourself: ship it, read the data, decide to iterate or kill it.
• Defensible taste. You can name what is wrong with the products you admire most, not only what is good about them.
• Experience building consumer-facing (B2C) products and a habit of direct user research
• Based in the Bay Area and able to work on-site in Mountain View; comfortable partnering daily with our Shanghai and Vancouver teams across time zones
• Bonus If You Have
• Built evals for a generative feature, or worked with fine-tuned or post-trained models in production
• Background taking a product from early PMF to a mature, high-scale stage
• Experience with short-form video, content creation, or creator tools
• Direct experience shipping AI/LLM-powered features
• Ability to prototype using code or no-code tools
• This Role Probably Isn't Right For You If…
• You're energized by 0-to-1 ambiguity but lose interest once a product has real scale and real constraints
• Your experience with AI is mostly reading about it. This role needs someone who has put their hands on the models.
• You'd rather define strategy from a slide than get hands-on with the craft of a specific feature
• You need a large team or established process to feel effective. This role expects you to build the playbook, not just follow one.
• You haven't used a video editing or content creation tool yourself in the past year
• You're uncomfortable operating with ambiguity and rapid iteration
• You want remote or hybrid