Product Designer, Instagram

Instagram is seeking a Product Designer for Home Brand Studio Team. The Home Brand Studio team defines and scales our brand from product to culture. We champion the through-line by creating brand-building moments in product, iconic product experiences and branded features.

Responsibilities

Take broad, conceptual ideas and turn them into something useful and valuable for our 2 billion+ users and drive product strategy and innovation across a large organization
Design innovative concepts through the craft of end-to-end flows which impact broad sets of users at scale while using the appropriate prototyping tools
Drive design prioritization and execution, keeping up team's momentum to meet accelerated timelines
Design new experiences or layouts that improve visual systems
Play an active role in communicating strategic decisions around the future direction of products
Give and solicit feedback from a broader product team in order to continually improve the quality of design deliverables through structured feedback and iteration
Act as a key cross-functional lead accountable for the success of the initiative, leaning into workstream level operations and processes when needed
Influence and drive alignment on product direction across multiple organizations and cross-functional partners
Work collaboratively with others, think creatively, and take on complex challenges
Take on mentorship and coaching opportunities

Qualifications

10+ years in product design. Has led design for large consumer products at scale, with tens or hundreds of millions of users
Has designed for video consumption: discovery, playback, the viewer experience and engagement loops. Long-form or short-form video is strongly preferred
Understands social mechanics such as sharing, comments, community, creator-audience relationships and network effects
Aligns Product, Engineering, Data Science, Research and Content Partnerships around a shared vision without formal authority. Drives decisions at the director and VP level
Experience leading and growing a team of designers, setting quality standards, and mentoring senior ICs Setting a vision. Can define a 1-3 year north star and sell it through prototypes, storytelling and narrative docs, especially when the project is still ambiguous or in 0→1 territory
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Monetization awareness. Can fit ads (mid-rolls, pre-rolls) or subscriptions into the experience without hurting it
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Competitive and industry insight. Deep familiarity with YouTube, TikTok, Netflix and streaming patterns, plus a point of view on where to differentiate rather than copy
Designing for recommendation-driven products. Understands how ranking and personalization shape the experience. Can work with ML teams on signals, feedback loops and how viewers browse versus watch passively
Designing across devices. Mobile, web, and ideally TV or the living room, where long form is often watched
Motion and prototyping craft. Video is about time and motion, so high-fidelity motion prototyping is a real advantage
Data and experimentation fluency. Comfortable with A/B tests and metrics like watch time, retention and session depth. Uses quantitative and qualitative research together, and can tell real long-term value from short-term engagement wins
Creator and ecosystem thinking. The lead should design for both sides: viewers, and creators' tools, analytics and earnings
Long-form-specific consumption patterns. Knows how long viewing sessions differ from short-form scrolling: committing to a video, resuming, chapters, previews and the move from a feed into full-screen viewing
Integrity, wellbeing and accessibility. Content quality, controls that support healthy viewing, captions, and performance on low-bandwidth connections for global markets
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies