Automated video editing is an emerging category, and we're positioned to define it. Media companies want to turn thousands of podcast episodes into social clips. Marketing teams want to automatically create product demos for every release. Agencies want to process client content in bulk with consistent branding. And they want to do all of that at scale.
\nAs the Product Manager for this 0 to 1 area, you'll build and own the platform that makes this all possible. You'll create APIs that let developers programmatically import media, run AI-powered edits, and export content. In essence, turning Descript's already powerful editing capabilities into infrastructure that media businesses can depend on.
\nThe base salary range for this role is $171,000 - $235,000/year. Final offer amounts will carefully consider multiple factors, including prior experience, expertise, and location, and may vary from the amount above.
","enriched_at":1776527668128},{"id":"job_76ba75bf-967","title":"Engineering Manager, Narrative Editing","source_url":"https://job-boards.greenhouse.io/descript/jobs/7621961003","location":"San Francisco, CA","job_type":"full-time","experience_level":"executive","work_arrangement":"hybrid","category":"Engineering","description":"About the Role
\nDescript is revolutionizing how traditional editing methodologies and AI technologies come together in every part of the creation process (recording, transcribing, editing, and sharing) to make it faster and easier than ever to create high quality content.
\nWe are hiring an Engineering Manager to lead our Narrative Editing team, focused on the product experiences that enable creators to tell their story through both live and generative AI content creation and Descript’s flagship script-based editing experience.
\nYour primary focus in 2026 will be driving quality, by both improving quality and reliability on existing product surfaces, and producing the next iterations of those product experiences.
\nIn this role, you will:
\nWhat You Bring
\nMinimum Qualifications
\nExtra Credit!
\nThe base salary range for this role is $222,431-$261,684/year.
","enriched_at":1776527402932},{"id":"job_a9559937-5dc","title":"Engineering Manager, Agent","source_url":"https://job-boards.greenhouse.io/descript/jobs/7617845003","location":"San Francisco, CA | Remote","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"Job Title: Engineering Manager, Agent
\nWe are hiring an Engineering Manager to lead our Agent team, focused on building the world’s best Agentic Video Editor, Underlord. This is a rapidly changing landscape, and there are many unique technical challenges that come with building high quality, cost-effective Agents for handling the multimodal nature of video.
\nAs an Engineering Manager, you will manage a team of 5-6 software engineers, report to the Head of AI Engineering, and partner closely with others across engineering, product, design, and AI research teams. Agent-driven editing is a major company focus and this role requires strong product thinking and strategic partnership skills as the team continues to develop novel, high-quality experiences around Agentic Video Editing.
\nIn 2026, your primary focus will be driving quality to move from beta to GA and delivering material impact for the business. You will:
\nThe base salary range for this role is $222,431-$261,684/year. Final offer amounts will carefully consider multiple factors, including prior experience, expertise, location, level, and may vary from the amount above.
\nBenefits include a generous healthcare package, 401k matching program, catered lunches, and flexible vacation time. Our headquarters are located in the Mission District of San Francisco, CA. We're hiring for a mix of remote roles and hybrid roles. For those who are remote, we have a handful of opportunities throughout the year for in person collaboration. For our hybrid roles, we're flexible, and you're an adult,we don't expect or mandate that you're in the office every day.
","enriched_at":1776527375717},{"id":"job_3f81ab90-e65","title":"Product Manager, AI Models","source_url":"https://job-boards.greenhouse.io/descript/jobs/6576153003","location":"San Francisco, CA","job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"Engineering","description":"We're looking for a Product Manager to help build the future of video editing with AI. You'll work alongside a small, flat, highly collaborative team of experienced PMs, AI researchers, engineers, designers, and marketers.
\nThis role sits at the intersection of cutting-edge AI research, production ML infrastructure, and product strategy. You'll be responsible for ensuring our AI capabilities are best-in-class while enabling our product teams to ship AI-powered features that delight users.
\nAs a Product Manager, you'll be responsible for making build vs. buy decisions, evaluating research investment, guiding research direction, owning the evals strategy, driving quality standards, building feedback loops, partnering with product teams, enabling fast iteration, managing dependencies, optimizing COGS, and scaling research infrastructure.
\nYou'll have a strong track record of making sound build vs. buy decisions in the AI space, balancing research exploration with shipping product value, and translating technical capabilities into user-facing product features.
\nYou'll also have experience shipping AI/ML products to production at scale, with a deep understanding of modern ML/AI systems and LLMs, evals frameworks, model training pipelines, and inference infrastructure.
\nAs a leader, you'll be able to articulate a multi-year vision while executing on near-term priorities, understand when to make strategic long-term bets vs. tactical short-term wins, and evaluate competitive landscape and market trends to inform research direction.
\nYou'll be comfortable operating in ambiguity and setting direction when the path isn't clear, with a strong ability to communicate complex technical concepts to non-technical stakeholders.
\nYou'll create processes and frameworks to help teams move faster, establish clear DRIs, success metrics, and timelines, and balance speed with quality and manage risk appropriately.
\nYou'll have strong opinions, loosely held, and be able to make confident recommendations based on available data, but be open to changing your mind when new information emerges.
\nYou'll understand research team dynamics, know how to motivate researchers and give them space to explore while keeping them aligned to product goals, and be able to translate between 'research interesting' and 'product valuable'.
\nYou'll be deeply curious about AI, stay up-to-date on the latest models, techniques, and research papers, and have a point of view on where AI is headed and what it means for creative tools.
\nYou'll be comfortable with infrastructure work, understand that great AI products require great infrastructure, and see MLOps and tooling as strategic investments, not just 'plumbing'.
\nYou'll balance user empathy with technical constraints, advocate for the user experience while understanding technical and cost limitations, and think about the entire user journey, not just individual features.
\nThis role is exciting because of the impact you'll have on Descript's AI strategy and competitive positioning, the scope of the role, the team you'll work with, the timing, and the learning opportunities.
","enriched_at":1776527361398}],"category_normalised":[{"category":"engineering","count":4}],"velocity":{"weeks":[{"week_start":"2026-04-13","count":4}],"trend":"stable","wow_pct":0},"momentum":{"recent_14d":0,"prior_14d":0,"growth_pct":0,"classification":"stable"},"salary_vs_industry":{"company_median":null,"industry_median":null,"percentile":null,"sample_size":0,"by_region":[],"transparency_pct":0,"industry_transparency_pct":0,"transparency_warning":true},"market_share":{"company_jobs":4,"industry_total":4,"share_pct":100,"rank":1,"peer_count":1},"ai_exposure":{"occupation_weighted_score":0.32,"skill_weighted_score":0,"top_exposed_titles":[],"top_exposed_skills":[]},"peer_set":[],"skills_lq":[],"geographic_shift":{"current":[{"region":"United States","count":4,"share_pct":100}],"emerging":[],"shrinking":[]},"seniority_anomalies":{"exec_recent_30d":0,"exec_prior_90d_avg":0,"exec_growth_pct":0,"notable_exec_hires":[]},"posting_dynamics":{"median_days_open":46,"industry_median_days_open":null,"long_open_count":0,"closure_rate_pct":71}}}}