Slate

Develop and own AI-driven video editing interface and backend services including chat-driven controls and streaming UI. | 5+ years full-stack experience with production feature delivery and AI/ML interface experience. | The Pitch Slate is building an AI-first video editor where the AI agent isn’t a bolt on, it’s deeply integrated into the editor and the user’s brand and media library . You tell it what you want; it builds a plan, previews it, and executes across the timeline. We've built the early AI pipeline. Now we need a full-stack engineer to own the entire product experience on top of it: the chat-driven interface, timeline integration, streaming UI for AI plan previews, and the upload flows that feed into AI analysis. This is a high-ownership role on a small, fast-moving team. You'll ship real features end-to-end, from UI to backend services, in one of the most competitive spaces in video software right now. What You'll Actually Do Build the AI editing interface Build the chat-driven editing interface, the primary way users communicate with the AI, including agentic loops, streaming response rendering, AI plan previews, and suggested action surfaces. Integrate the AI pipeline's outputs into the editor: rendering model plans, handling async results, and keeping the UI responsive across long-running operations. Own the properties panels, chat panels, and lightweight timeline components that make the AI-first experience feel native. Ship video processing UX Build upload flows and media analysis state communication, the UX that bridges raw video input with AI-ready content. Design status indicators and progress surfaces for background processing, model inference, and asset analysis. Work closely with our AI Engineers to understand pipeline outputs and translate them into clear, actionable UI states. Own the full stack, end to end Ship features end-to-end, from frontend components through to Node.js services to our Firebase and AWS DynamoDB persistence layer to our AWS infra. Take prototype code and make it production-quality without needing every edge case spelled out Collaborate with a small, high-ownership team where engineering, product, and design are tightly coupled You'd Be a Great Fit If You have the experience: 5+ years of full-stack engineering, with a track record of shipping polished product features in production. Experience building interfaces that consume AI or ML outputs; streaming responses, async workflows, plan-then-execute patterns. Comfortable owning features from UI through to backend services without a handoff. You've done work like this before: Built UIs that handle streaming text or progressive AI responses. Shipped product features involving video, media, or time-based content (a differentiator, not a requirement). Worked in small teams with high ownership, moving from prototype to production quickly. You work the way we work: You care about the craft, the UI & product experience is top priority, not just functional. You raise issues early and don't wait to be unblocked. You think in systems: how the frontend state, the backend service, and the AI pipeline fit together. Tech Stack Angular, TypeScript, Node.js, PostgreSQL, AWS, OpenAI / Anthropic APIs The Details Location: Remote, anywhere from EST (UTC-5) to UTC+2 Reporting to: AI Editor Lead Compensation: US $170k–200k | Rest of World $95k–140k USD + equity Benefits Equity options Unlimited PTO (we actually take it) $200/month wellness stipend Health insurance stipend Home office budget About Slate Slate is the creative workspace for brand social teams. We help teams create and ship on-brand content fast with an all-in-one editor, built-in asset management, and seamless creative file workflows, backed by hands-on support from people who have done the job. Teams across top sports leagues and global brands like Amazon and Hoka use Slate every day to elevate their social presence. Note: We do not sponsor work visas. Slate is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of background, identity, or experience. Slate is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of background, identity, or experience.

Build and own self-serve user journeys and optimize conversion through data-driven experimentation. | 5+ years in production systems with growth and experimentation focus, proficient in TypeScript/Node.js and product analytics. | Full-stack Growth Engineer The Pitch Slate is the creative workspace that social teams at Amazon, Hoka, the NFL, and the Premier League use every day to ship on-brand content fast. We have just closed three consecutive record-breaking new business months — our biggest new business quarter ever — and we are now building the next chapter of the company: product-led growth. Today, Slate is a tool for specialists. Marketing drives more than a hundred trials and demos a month into the funnel, but there is no self-serve layer to convert them, and the product is not yet approachable enough for users who arrive on their own. The opportunity in front of us is bigger than improving the trial — it is to open up Slate to a much broader population of users, support a long tail of self-serve customers at scale, and build a real second growth engine alongside the enterprise motion. We are hiring our Full-stack Growth Engineer, the first person at Slate dedicated to PLG, to make that happen. You will build and own the self-serve surface end-to-end: sign-up, the first-run experience, the path to paid, and the experimentation discipline that determines what we build next. This is a role that pulls on expertise from multiple disciplines. You will build like a senior full-stack engineer, prioritize like a PM, instrument like a data engineer, and reason like an experimentalist. You will be the in-house expert the rest of engineering learns growth from. And because PLG touches product, design, marketing, and sales, you will be cross-functional from day one. You are not joining the rocket ship after it has launched. You are helping us build it. What You'll Actually Do Build the self-serve surface, end-to-end Design and ship a self-serve sign-up and payment flow — from anonymous visitor to paid user, without a sales touch Define and instrument trial limits — AI credit budgets, storage caps, seat counts — generous enough to wow, tight enough to upgrade Surface high-intent upsell signals to the sales team so PLG and enterprise compound rather than compete [Nice to have] Integrate billing (Stripe / recurring payments) and the operational realities that come with it: trials, upgrades, downgrades, dunning, tax, refunds Fix the "cold start" problem: make Slate approachable from minute one Own the new-user journey: get someone from sign-up to their first piece of branded content fast, before they bounce Apply the hook model: Trigger → Action → Variable Reward → Investment — to every step of the activation surface Help shape the product itself, not just the wrapper around it. Slate needs to be usable by non-specialists, and you will influence what changes to get there Work with our AI team on building innovative technology to enable new users to see their own brand inside the product within minutes Bring a real experimentation discipline to Slate Stand up the experimentation platform: events, attribution, cohort tracking, exposure logging, the full pipeline Run experiments with proper controls and test groups, statistical significance, and pre-registered guardrails / anti-goals — not vibes Measure both short-term conversion AND longer-term business outcomes (retention, paid plan uptake, expansion, LTV) using longitudinal measurement Treat product changes as hypotheses: design them, run them, ship or kill based on what the data says Operate as our in-house growth engineering expert — raise the experimentation bar across the engineering team, not just within your own surface You'd Be a Great Fit If You have the experience: 5+ years building production systems with a growth and experimentation specialism (not general product engineering with growth on the side) Comfortable in TypeScript / Node.js and a modern frontend framework Deep familiarity with experimentation: controls, test groups, statistical significance, guardrails, anti-goals, exposure logging, longitudinal measurement Strong product analytics chops (Amplitude, Mixpanel, Segment, Statsig, LaunchDarkly, or similar) and a clear point of view on how the stack should be wired You’ve done work like this before: Built or owned a PLG funnel end-to-end (sign-up, activation, conversion, payment) at a company where PLG is a real discipline, not a slogan Come from a company with mature experimentation pedigree — somewhere experimentation is already a first-class engineering practice Designed experiments with proper controls, run them to significance, and made the call to ship, iterate, or kill based on the data (Nice to have) Hands-on with Stripe / billing / recurring payments. Useful but not mandatory You work the way we work: Committed to finding the balance between what the data says and what feels right for our users - we need both the “soul” and the “statistics”. You own the outcomes, not just the tasks You can move from strategy to implementation in the same week You use AI tools heavily in your own workflow and take responsibility for the output You communicate clearly, raise issues early, and don’t need permission to ship Tech Stack TypeScript, Node.js, Angular / React, DynamoDB / PostgreSQL, AWS, Amplitude, Stripe, OpenAI / Anthropic APIs. Modern web, Linear for planning. Claude, Cursor and other AI tooling are part of how we work. You will help select and stand up our experimentation platform. The Details Location: Remote, anywhere from EST (UTC-5) to UTC+2 Reporting to: Growth Lead Compensation: US $170k–200k | Rest of World $95k–140k USD + equity Benefits Equity options Unlimited PTO (we actually take it) $200/month wellness stipend Health insurance stipend Home office budget Annual company offsite - our next one is in Lisbon this June About Slate Slate is the creative workspace for brand social teams. We help teams create and ship on-brand content fast with an all-in-one editor, built-in asset management, and seamless creative file workflows, backed by hands-on support from people who have done the job. Teams across top sports leagues and global brands like Amazon and Hoka use Slate every day to elevate their social presence. Note: We do not sponsor work visas. Slate is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of background, identity, or experience. Slate is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of background, identity, or experience.

Build and own the self-serve product-led growth funnel including sign-up, activation, payment, and experimentation. | 5+ years experience in growth-focused full-stack engineering with expertise in TypeScript/Node.js, experimentation, and product analytics. | Full-stack Growth Engineer The Pitch Slate is the creative workspace that social teams at Amazon, Hoka, the NFL, and the Premier League use every day to ship on-brand content fast. We have just closed three consecutive record-breaking new business months — our biggest new business quarter ever — and we are now building the next chapter of the company: product-led growth. Today, Slate is a tool for specialists. Marketing drives more than a hundred trials and demos a month into the funnel, but there is no self-serve layer to convert them, and the product is not yet approachable enough for users who arrive on their own. The opportunity in front of us is bigger than improving the trial — it is to open up Slate to a much broader population of users, support a long tail of self-serve customers at scale, and build a real second growth engine alongside the enterprise motion. We are hiring our Full-stack Growth Engineer, the first person at Slate dedicated to PLG, to make that happen. You will build and own the self-serve surface end-to-end: sign-up, the first-run experience, the path to paid, and the experimentation discipline that determines what we build next. This is a role that pulls on expertise from multiple disciplines. You will build like a senior full-stack engineer, prioritize like a PM, instrument like a data engineer, and reason like an experimentalist. You will be the in-house expert the rest of engineering learns growth from. And because PLG touches product, design, marketing, and sales, you will be cross-functional from day one. You are not joining the rocket ship after it has launched. You are helping us build it. What You'll Actually Do Build the self-serve surface, end-to-end • Design and ship a self-serve sign-up and payment flow — from anonymous visitor to paid user, without a sales touch • Define and instrument trial limits — AI credit budgets, storage caps, seat counts — generous enough to wow, tight enough to upgrade • Surface high-intent upsell signals to the sales team so PLG and enterprise compound rather than compete • [Nice to have] Integrate billing (Stripe / recurring payments) and the operational realities that come with it: trials, upgrades, downgrades, dunning, tax, refunds Fix the "cold start" problem: make Slate approachable from minute one • Own the new-user journey: get someone from sign-up to their first piece of branded content fast, before they bounce • Apply the hook model: Trigger → Action → Variable Reward → Investment — to every step of the activation surface • Help shape the product itself, not just the wrapper around it. Slate needs to be usable by non-specialists, and you will influence what changes to get there • Work with our AI team on building innovative technology to enable new users to see their own brand inside the product within minutes Bring a real experimentation discipline to Slate • Stand up the experimentation platform: events, attribution, cohort tracking, exposure logging, the full pipeline • Run experiments with proper controls and test groups, statistical significance, and pre-registered guardrails / anti-goals — not vibes • Measure both short-term conversion AND longer-term business outcomes (retention, paid plan uptake, expansion, LTV) using longitudinal measurement • Treat product changes as hypotheses: design them, run them, ship or kill based on what the data says • Operate as our in-house growth engineering expert — raise the experimentation bar across the engineering team, not just within your own surface You'd Be a Great Fit If You have the experience: • 5+ years building production systems with a growth and experimentation specialism (not general product engineering with growth on the side) • Comfortable in TypeScript / Node.js and a modern frontend framework • Deep familiarity with experimentation: controls, test groups, statistical significance, guardrails, anti-goals, exposure logging, longitudinal measurement • Strong product analytics chops (Amplitude, Mixpanel, Segment, Statsig, LaunchDarkly, or similar) and a clear point of view on how the stack should be wired You’ve done work like this before: • Built or owned a PLG funnel end-to-end (sign-up, activation, conversion, payment) at a company where PLG is a real discipline, not a slogan • Come from a company with mature experimentation pedigree — somewhere experimentation is already a first-class engineering practice • Designed experiments with proper controls, run them to significance, and made the call to ship, iterate, or kill based on the data • (Nice to have) Hands-on with Stripe / billing / recurring payments. Useful but not mandatory You work the way we work: • Committed to finding the balance between what the data says and what feels right for our users - we need both the “soul” and the “statistics”. • You own the outcomes, not just the tasks • You can move from strategy to implementation in the same week • You use AI tools heavily in your own workflow and take responsibility for the output • You communicate clearly, raise issues early, and don’t need permission to ship Tech Stack TypeScript, Node.js, Angular / React, DynamoDB / PostgreSQL, AWS, Amplitude, Stripe, OpenAI / Anthropic APIs. Modern web, Linear for planning. Claude, Cursor and other AI tooling are part of how we work. You will help select and stand up our experimentation platform. The Details • Location: Remote, anywhere from EST (UTC-5) to UTC+2 • Reporting to: Growth Lead • Compensation: US $170k–200k | Rest of World $95k–140k USD + equity Benefits • Equity options • Unlimited PTO (we actually take it) • $200/month wellness stipend • Health insurance stipend • Home office budget • Annual company offsite - our next one is in Lisbon this June About Slate Slate is the creative workspace for brand social teams. We help teams create and ship on-brand content fast with an all-in-one editor, built-in asset management, and seamless creative file workflows, backed by hands-on support from people who have done the job. Teams across top sports leagues and global brands like Amazon and Hoka use Slate every day to elevate their social presence. Note: We do not sponsor work visas. Slate is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of background, identity, or experience. Slate is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of background, identity, or experience.

Design and build shared AI infrastructure and backend systems to unify AI integrations and ensure reliability and performance. | 5+ years backend engineering with experience in AI/ML model integration, strong systems thinking, and working with AI APIs. | The Pitch Slate’s product already uses AI across the stack — background removal, active speaker detection, auto-captioning, content suggestions, and image generation — but each of these is its own independent integration. We need a Senior Backend Engineer focused on AI to bring this together: unifying how we integrate models, building the infrastructure that makes AI features reliable at scale, and helping us move faster on the next wave of AI-powered capabilities. What You’ll Actually Do Build the AI platform layer • Design and build the shared infrastructure for AI integrations across Slate’s backend: model routing, prompt management, response caching, fallback handling, and cost observability • Refactor existing one-off AI integrations (background removal, captioning, etc.) onto a unified platform • Own the reliability, performance, and cost-efficiency of Slate’s AI systems Enable new AI features • Work closely with the AI Product Engineer and product team to bring new AI capabilities to production • Build the backend systems that power real-time AI features — handling streaming, async processing, and latency constraints • Evaluate and integrate new models and APIs as they become available Raise the quality bar • Define evaluation frameworks and monitoring to track AI feature quality over time • Build systems to detect and alert on model regressions or degraded outputs • Ensure AI features meet the same reliability bar as the rest of Slate’s infrastructure You’d Be a Great Fit If You have the experience: • 5+ years of backend engineering experience, with a track record of shipping production systems • Hands-on experience integrating and operating LLMs or ML models at scale • Strong systems thinking — you design for reliability, observability, and cost from the start You’ve done work like this before: • Built shared AI infrastructure used by multiple teams or features • Designed async processing pipelines for ML workloads • Worked with OpenAI, Anthropic, Replicate, or similar APIs in production You work the way we work: • You own the outcomes, not just the tasks • You communicate clearly and raise issues early • You use AI tools in your own workflow and think about how to apply them to hard engineering problems Tech Stack Node.js, TypeScript, PostgreSQL, Redis, AWS, OpenAI / Anthropic APIs, Replicate The Details • Location: Remote, anywhere from EST (UTC-5) to UTC+2 • Reporting to: Maciej Kucharek, Head of Engineering • Compensation: US $170k–200k | Rest of World $95k–140k USD + equity Benefits • Equity options • Unlimited PTO (we actually take it) • $200/month wellness stipend • Health insurance stipend • Home office budget About Slate Slate is the creative workspace for brand social teams. We help teams create and ship on-brand content fast with an all-in-one editor, built-in asset management, and seamless creative file workflows, backed by hands-on support from people who have done the job. Teams across top sports leagues and global brands like Amazon and Hoka use Slate every day to elevate their social presence. Note: We do not sponsor work visas. Slate is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of background, identity, or experience.

The City Manager will oversee local operations in Los Angeles, ensuring consistent service quality and strong client relationships. This includes conducting site visits, managing client accounts, and supporting employees on-site. | Candidates should have a proven track record in sales, account management, or business development, along with strong communication skills. Experience in cleaning or facilities management is a plus, and bilingual candidates are preferred. | Slate solves cleaning for single- and multi-location businesses anywhere in the US by custom-building exceptional cleaning teams and managing them remotely. We aim to make the cleaning experience more convenient and efficient for our customers. By offering easy customization, seamless booking, and effortless feedback sharing, we eliminate the hassle that often accompanies cleaning services. We are seeking a City Manager (Part-Time) to represent Slate in Los Angeles and oversee our local operations. With over 10 commercial accounts and residential accounts in Los Angeles, CA, this role is critical to ensure consistent service quality and strong client relationships. The City Manager will provide on-the-ground oversight, conducting walkthroughs, supporting employees, and building trust with clients. This is a flexible part-time contract role (10–15 hours per week) with some evening and weekend work, as needed by the client. Key Responsibilities: Client Relations & Business Development: Represent Slate at promotional opportunities such as industry events or client meetings. Conduct walkthroughs with potential clients to understand their cleaning needs. Provide face-to-face service and account management for existing clients. Build long-term client relationships and support account retention. Operations & Oversight: Conduct weekly, bi-weekly visits to all sites and support accounts, including residential accounts, and new openings. Ensure quality assurance through site walkthroughs, checklists, and photo documentation in Jobber. Conduct QA inspections at client sites to ensure service quality and compliance with company standards. Report updates, issues, and staffing needs to the Support Team and leadership. Employee Supervision & Support: Provide coaching, feedback, and accountability to employees on-site. Ensure cleaners follow protocols and represent Slate professionally. Assist with recruitment, onboarding, and training as needed Qualifications: Proven track record in sales, account management, or business development. Strong communication and interpersonal skills.Experience in lead generation, prospecting, and client presentations.Self-motivated, target-driven, and able to work independently. Experience in cleaning/facilities management or related industries is a plus. Ability to travel across NYC to client sites. Bilingual (English/Spanish) preferred but not required. Availability to work part-time, with flexible scheduling, some visits may be during the day, others in the evening/night, with occasional weekends. Ideal Work Schedule (Example Only): Monday (8:00–9:30 AM): Review open issues and plan the week based on check-ins. Wednesday (6:00–9:00 PM): Conduct site walkthroughs and provide employee coaching. Friday (10:00 AM–2:00 PM): Visit new accounts and complete QA reporting. Weekend (2–3 hours as needed): Provide flexible coverage for client events, account openings, or urgent matters.